id	sid	tid	token	lemma	pos
jbi-22655	1	1	biodiversity	biodiversity	NOUN
jbi-22655	1	2	informatics	informatic	NOUN
jbi-22655	1	3	,	,	PUNCT
jbi-22655	1	4	18	18	NUM
jbi-22655	1	5	,	,	PUNCT
jbi-22655	1	6	2024	2024	NUM
jbi-22655	1	7	,	,	PUNCT
jbi-22655	1	8	pp	pp	ADV
jbi-22655	1	9	.	.	PUNCT
jbi-22655	2	1	43	43	NUM
jbi-22655	2	2	-	-	SYM
jbi-22655	2	3	55	55	NUM
jbi-22655	2	4	43	43	NUM
jbi-22655	2	5	species	specie	NOUN
jbi-22655	2	6	distribution	distribution	NOUN
jbi-22655	2	7	model	model	NOUN
jbi-22655	2	8	accuracy	accuracy	NOUN
jbi-22655	2	9	is	be	AUX
jbi-22655	2	10	strongly	strongly	ADV
jbi-22655	2	11	influenced	influence	VERB
jbi-22655	2	12	by	by	ADP
jbi-22655	2	13	the	the	DET
jbi-22655	2	14	choice	choice	NOUN
jbi-22655	2	15	of	of	ADP
jbi-22655	2	16	calibration	calibration	NOUN
jbi-22655	2	17	area	area	NOUN
jbi-22655	2	18	sergio	sergio	PROPN
jbi-22655	2	19	luna1	luna1	PROPN
jbi-22655	2	20	,	,	PUNCT
jbi-22655	2	21	alexander	alexander	PROPN
jbi-22655	2	22	peña	peña	PROPN
jbi-22655	2	23	-	-	PUNCT
jbi-22655	2	24	peniche2,3	peniche2,3	PROPN
jbi-22655	2	25	&	&	CCONJ
jbi-22655	2	26	roberto	roberto	PROPN
jbi-22655	2	27	mendoza	mendoza	PROPN
jbi-22655	2	28	-	-	PUNCT
jbi-22655	2	29	alfaro1	alfaro1	PROPN
jbi-22655	2	30	*	*	SYM
jbi-22655	2	31	1universidad	1universidad	NUM
jbi-22655	2	32	autónoma	autónoma	PROPN
jbi-22655	2	33	de	de	X
jbi-22655	2	34	nuevo	nuevo	PROPN
jbi-22655	2	35	león	león	PROPN
jbi-22655	2	36	,	,	PUNCT
jbi-22655	2	37	facultad	facultad	PROPN
jbi-22655	2	38	de	de	PROPN
jbi-22655	2	39	ciencias	ciencias	PROPN
jbi-22655	2	40	biológicas	biológicas	PROPN
jbi-22655	2	41	,	,	PUNCT
jbi-22655	2	42	laboratorio	laboratorio	PROPN
jbi-22655	2	43	de	de	PROPN
jbi-22655	2	44	ecofisiología	ecofisiología	PROPN
jbi-22655	2	45	,	,	PUNCT
jbi-22655	2	46	nuevo	nuevo	PROPN
jbi-22655	2	47	león	león	PROPN
jbi-22655	2	48	,	,	PUNCT
jbi-22655	2	49	méxico	méxico	PROPN
jbi-22655	2	50	2universidad	2universidad	PROPN
jbi-22655	2	51	autónoma	autónoma	PROPN
jbi-22655	2	52	de	de	X
jbi-22655	2	53	nuevo	nuevo	PROPN
jbi-22655	2	54	león	león	PROPN
jbi-22655	2	55	,	,	PUNCT
jbi-22655	2	56	facultad	facultad	PROPN
jbi-22655	2	57	de	de	PROPN
jbi-22655	2	58	ciencias	ciencias	PROPN
jbi-22655	2	59	biológicas	biológicas	PROPN
jbi-22655	2	60	,	,	PUNCT
jbi-22655	2	61	laboratorio	laboratorio	PROPN
jbi-22655	2	62	de	de	PROPN
jbi-22655	2	63	biología	biología	PROPN
jbi-22655	2	64	de	de	PROPN
jbi-22655	2	65	la	la	PROPN
jbi-22655	2	66	conservación	conservación	PROPN
jbi-22655	2	67	y	y	PROPN
jbi-22655	2	68	desarrollo	desarrollo	PROPN
jbi-22655	2	69	sustentable	sustentable	PROPN
jbi-22655	2	70	,	,	PUNCT
jbi-22655	2	71	nuevo	nuevo	PROPN
jbi-22655	2	72	león	león	PROPN
jbi-22655	2	73	,	,	PUNCT
jbi-22655	2	74	méxico	méxico	PROPN
jbi-22655	2	75	3centro	3centro	PROPN
jbi-22655	2	76	de	de	PROPN
jbi-22655	2	77	investigación	investigación	PROPN
jbi-22655	2	78	científica	científica	PROPN
jbi-22655	2	79	de	de	PROPN
jbi-22655	2	80	yucatán	yucatán	PROPN
jbi-22655	2	81	,	,	PUNCT
jbi-22655	2	82	a.	a.	PROPN
jbi-22655	2	83	c.	c.	PROPN
jbi-22655	2	84	,	,	PUNCT
jbi-22655	2	85	unidad	unidad	PROPN
jbi-22655	2	86	de	de	PROPN
jbi-22655	2	87	recursos	recursos	PROPN
jbi-22655	2	88	naturales	naturale	NOUN
jbi-22655	2	89	,	,	PUNCT
jbi-22655	2	90	mérida	mérida	PROPN
jbi-22655	2	91	,	,	PUNCT
jbi-22655	2	92	yucatán	yucatán	PROPN
jbi-22655	2	93	,	,	PUNCT
jbi-22655	2	94	méxico	méxico	PROPN
jbi-22655	2	95	*	*	PUNCT
jbi-22655	2	96	corresponding	correspond	VERB
jbi-22655	2	97	author	author	NOUN
jbi-22655	2	98	:	:	PUNCT
jbi-22655	2	99	roberto	roberto	PROPN
jbi-22655	2	100	mendoza	mendoza	PROPN
jbi-22655	2	101	-	-	PUNCT
jbi-22655	2	102	alfaro	alfaro	PROPN
jbi-22655	2	103	,	,	PUNCT
jbi-22655	2	104	email	email	NOUN
jbi-22655	2	105	:	:	PUNCT
jbi-22655	2	106	roberto.mendoza@yahoo.com	roberto.mendoza@yahoo.com	NUM
jbi-22655	2	107	abstract	abstract	NOUN
jbi-22655	2	108	.	.	PUNCT
jbi-22655	3	1	species	specie	NOUN
jbi-22655	3	2	distribution	distribution	NOUN
jbi-22655	3	3	models	model	NOUN
jbi-22655	3	4	(	(	PUNCT
jbi-22655	3	5	sdm	sdm	PROPN
jbi-22655	3	6	)	)	PUNCT
jbi-22655	3	7	are	be	AUX
jbi-22655	3	8	widely	widely	ADV
jbi-22655	3	9	used	use	VERB
jbi-22655	3	10	tools	tool	NOUN
jbi-22655	3	11	in	in	ADP
jbi-22655	3	12	ecology	ecology	NOUN
jbi-22655	3	13	and	and	CCONJ
jbi-22655	3	14	conservation	conservation	NOUN
jbi-22655	3	15	aimed	aim	VERB
jbi-22655	3	16	at	at	ADP
jbi-22655	3	17	predicting	predict	VERB
jbi-22655	3	18	the	the	DET
jbi-22655	3	19	potential	potential	ADJ
jbi-22655	3	20	distribution	distribution	NOUN
jbi-22655	3	21	of	of	ADP
jbi-22655	3	22	a	a	DET
jbi-22655	3	23	species	specie	NOUN
jbi-22655	3	24	based	base	VERB
jbi-22655	3	25	on	on	ADP
jbi-22655	3	26	its	its	PRON
jbi-22655	3	27	environmental	environmental	ADJ
jbi-22655	3	28	requirements	requirement	NOUN
jbi-22655	3	29	and	and	CCONJ
jbi-22655	3	30	occurrence	occurrence	NOUN
jbi-22655	3	31	data	datum	NOUN
jbi-22655	3	32	.	.	PUNCT
jbi-22655	4	1	sdm	sdm	NOUN
jbi-22655	4	2	face	face	VERB
jbi-22655	4	3	many	many	ADJ
jbi-22655	4	4	challenges	challenge	NOUN
jbi-22655	4	5	and	and	CCONJ
jbi-22655	4	6	uncertainties	uncertainty	NOUN
jbi-22655	4	7	that	that	PRON
jbi-22655	4	8	influence	influence	VERB
jbi-22655	4	9	their	their	PRON
jbi-22655	4	10	accuracy	accuracy	NOUN
jbi-22655	4	11	.	.	PUNCT
jbi-22655	5	1	selecting	select	VERB
jbi-22655	5	2	the	the	DET
jbi-22655	5	3	ideal	ideal	ADJ
jbi-22655	5	4	calibration	calibration	NOUN
jbi-22655	5	5	area	area	NOUN
jbi-22655	5	6	is	be	AUX
jbi-22655	5	7	one	one	NUM
jbi-22655	5	8	of	of	ADP
jbi-22655	5	9	these	these	DET
jbi-22655	5	10	difficulties	difficulty	NOUN
jbi-22655	5	11	.	.	PUNCT
jbi-22655	6	1	this	this	DET
jbi-22655	6	2	study	study	NOUN
jbi-22655	6	3	analyzes	analyze	VERB
jbi-22655	6	4	the	the	DET
jbi-22655	6	5	influence	influence	NOUN
jbi-22655	6	6	of	of	ADP
jbi-22655	6	7	the	the	DET
jbi-22655	6	8	extent	extent	NOUN
jbi-22655	6	9	of	of	ADP
jbi-22655	6	10	the	the	DET
jbi-22655	6	11	calibration	calibration	NOUN
jbi-22655	6	12	area	area	NOUN
jbi-22655	6	13	on	on	ADP
jbi-22655	6	14	the	the	DET
jbi-22655	6	15	accuracy	accuracy	NOUN
jbi-22655	6	16	of	of	ADP
jbi-22655	6	17	sdm	sdm	NOUN
jbi-22655	6	18	through	through	ADP
jbi-22655	6	19	simulations	simulation	NOUN
jbi-22655	6	20	with	with	ADP
jbi-22655	6	21	virtual	virtual	ADJ
jbi-22655	6	22	species	specie	NOUN
jbi-22655	6	23	.	.	PUNCT
jbi-22655	7	1	using	use	VERB
jbi-22655	7	2	bioclimatic	bioclimatic	ADJ
jbi-22655	7	3	variables	variable	NOUN
jbi-22655	7	4	,	,	PUNCT
jbi-22655	7	5	100	100	NUM
jbi-22655	7	6	virtual	virtual	ADJ
jbi-22655	7	7	species	specie	NOUN
jbi-22655	7	8	were	be	AUX
jbi-22655	7	9	gener	gener	NOUN
jbi-22655	7	10	-	-	PUNCT
jbi-22655	7	11	ated	ate	VERB
jbi-22655	7	12	.	.	PUNCT
jbi-22655	8	1	occurrence	occurrence	NOUN
jbi-22655	8	2	probabilities	probability	NOUN
jbi-22655	8	3	were	be	AUX
jbi-22655	8	4	determined	determine	VERB
jbi-22655	8	5	based	base	VERB
jbi-22655	8	6	on	on	ADP
jbi-22655	8	7	environmental	environmental	ADJ
jbi-22655	8	8	suitability	suitability	NOUN
jbi-22655	8	9	,	,	PUNCT
jbi-22655	8	10	spatial	spatial	ADJ
jbi-22655	8	11	sampling	sampling	NOUN
jbi-22655	8	12	bias	bias	NOUN
jbi-22655	8	13	,	,	PUNCT
jbi-22655	8	14	and	and	CCONJ
jbi-22655	8	15	accessible	accessible	ADJ
jbi-22655	8	16	areas	area	NOUN
jbi-22655	8	17	.	.	PUNCT
jbi-22655	9	1	sdm	sdm	PROPN
jbi-22655	9	2	were	be	AUX
jbi-22655	9	3	built	build	VERB
jbi-22655	9	4	using	use	VERB
jbi-22655	9	5	maxent	maxent	NOUN
jbi-22655	9	6	,	,	PUNCT
jbi-22655	9	7	varying	vary	VERB
jbi-22655	9	8	size	size	NOUN
jbi-22655	9	9	of	of	ADP
jbi-22655	9	10	calibration	calibration	NOUN
jbi-22655	9	11	area	area	NOUN
jbi-22655	9	12	,	,	PUNCT
jbi-22655	9	13	spatial	spatial	ADJ
jbi-22655	9	14	filtering	filtering	NOUN
jbi-22655	9	15	of	of	ADP
jbi-22655	9	16	occurrence	occurrence	NOUN
jbi-22655	9	17	records	record	NOUN
jbi-22655	9	18	,	,	PUNCT
jbi-22655	9	19	predictor	predictor	NOUN
jbi-22655	9	20	collinearity	collinearity	NOUN
jbi-22655	9	21	treatment	treatment	NOUN
jbi-22655	9	22	,	,	PUNCT
jbi-22655	9	23	and	and	CCONJ
jbi-22655	9	24	regularization	regularization	NOUN
jbi-22655	9	25	parameter	parameter	NOUN
jbi-22655	9	26	.	.	PUNCT
jbi-22655	10	1	model	model	NOUN
jbi-22655	10	2	performance	performance	NOUN
jbi-22655	10	3	was	be	AUX
jbi-22655	10	4	assessed	assess	VERB
jbi-22655	10	5	in	in	ADP
jbi-22655	10	6	terms	term	NOUN
jbi-22655	10	7	of	of	ADP
jbi-22655	10	8	functional	functional	ADJ
jbi-22655	10	9	accuracy	accuracy	NOUN
jbi-22655	10	10	(	(	PUNCT
jbi-22655	10	11	true	true	ADJ
jbi-22655	10	12	model	model	NOUN
jbi-22655	10	13	accuracy	accuracy	NOUN
jbi-22655	10	14	)	)	PUNCT
jbi-22655	10	15	and	and	CCONJ
jbi-22655	10	16	discrimination	discrimination	NOUN
jbi-22655	10	17	accuracy	accuracy	NOUN
jbi-22655	10	18	(	(	PUNCT
jbi-22655	10	19	model	model	NOUN
jbi-22655	10	20	ability	ability	NOUN
jbi-22655	10	21	to	to	PART
jbi-22655	10	22	separate	separate	VERB
jbi-22655	10	23	oc	oc	NOUN
jbi-22655	10	24	-	-	NOUN
jbi-22655	10	25	currence	currence	NOUN
jbi-22655	10	26	from	from	ADP
jbi-22655	10	27	random	random	ADJ
jbi-22655	10	28	sites	site	NOUN
jbi-22655	10	29	)	)	PUNCT
jbi-22655	10	30	.	.	PUNCT
jbi-22655	11	1	results	result	NOUN
jbi-22655	11	2	show	show	VERB
jbi-22655	11	3	that	that	SCONJ
jbi-22655	11	4	the	the	DET
jbi-22655	11	5	extent	extent	NOUN
jbi-22655	11	6	of	of	ADP
jbi-22655	11	7	the	the	DET
jbi-22655	11	8	calibration	calibration	NOUN
jbi-22655	11	9	area	area	NOUN
jbi-22655	11	10	was	be	AUX
jbi-22655	11	11	the	the	DET
jbi-22655	11	12	most	most	ADV
jbi-22655	11	13	influential	influential	ADJ
jbi-22655	11	14	factor	factor	NOUN
jbi-22655	11	15	(	(	PUNCT
jbi-22655	11	16	explaining	explain	VERB
jbi-22655	11	17	50	50	NUM
jbi-22655	11	18	%	%	NOUN
jbi-22655	11	19	of	of	ADP
jbi-22655	11	20	the	the	DET
jbi-22655	11	21	variance	variance	NOUN
jbi-22655	11	22	in	in	ADP
jbi-22655	11	23	functional	functional	ADJ
jbi-22655	11	24	accuracy	accuracy	NOUN
jbi-22655	11	25	)	)	PUNCT
jbi-22655	11	26	,	,	PUNCT
jbi-22655	11	27	while	while	SCONJ
jbi-22655	11	28	regularization	regularization	NOUN
jbi-22655	11	29	multiplier	multipli	ADJ
jbi-22655	11	30	,	,	PUNCT
jbi-22655	11	31	predictor	predictor	NOUN
jbi-22655	11	32	collinearity	collinearity	NOUN
jbi-22655	11	33	,	,	PUNCT
jbi-22655	11	34	and	and	CCONJ
jbi-22655	11	35	spatial	spatial	ADJ
jbi-22655	11	36	thinning	thinning	NOUN
jbi-22655	11	37	had	have	VERB
jbi-22655	11	38	minimal	minimal	ADJ
jbi-22655	11	39	impact	impact	NOUN
jbi-22655	11	40	(	(	PUNCT
jbi-22655	11	41	about	about	ADV
jbi-22655	11	42	4	4	NUM
jbi-22655	11	43	%	%	NOUN
jbi-22655	11	44	of	of	ADP
jbi-22655	11	45	explained	explain	VERB
jbi-22655	11	46	variance	variance	NOUN
jbi-22655	11	47	combined	combine	VERB
jbi-22655	11	48	)	)	PUNCT
jbi-22655	11	49	.	.	PUNCT
jbi-22655	12	1	overall	overall	ADJ
jbi-22655	12	2	,	,	PUNCT
jbi-22655	12	3	larger	large	ADJ
jbi-22655	12	4	calibration	calibration	NOUN
jbi-22655	12	5	areas	area	NOUN
jbi-22655	12	6	generally	generally	ADV
jbi-22655	12	7	led	lead	VERB
jbi-22655	12	8	to	to	ADP
jbi-22655	12	9	higher	high	ADJ
jbi-22655	12	10	functional	functional	ADJ
jbi-22655	12	11	accuracy	accuracy	NOUN
jbi-22655	12	12	,	,	PUNCT
jbi-22655	12	13	although	although	SCONJ
jbi-22655	12	14	it	it	PRON
jbi-22655	12	15	varies	vary	VERB
jbi-22655	12	16	across	across	ADP
jbi-22655	12	17	species	specie	NOUN
jbi-22655	12	18	.	.	PUNCT
jbi-22655	13	1	the	the	DET
jbi-22655	13	2	correlation	correlation	NOUN
jbi-22655	13	3	between	between	ADP
jbi-22655	13	4	functional	functional	ADJ
jbi-22655	13	5	and	and	CCONJ
jbi-22655	13	6	discrimination	discrimination	NOUN
jbi-22655	13	7	accuracy	accuracy	NOUN
jbi-22655	13	8	was	be	AUX
jbi-22655	13	9	relatively	relatively	ADV
jbi-22655	13	10	low	low	ADJ
jbi-22655	13	11	,	,	PUNCT
jbi-22655	13	12	indicating	indicate	VERB
jbi-22655	13	13	that	that	SCONJ
jbi-22655	13	14	models	model	NOUN
jbi-22655	13	15	performing	perform	VERB
jbi-22655	13	16	well	well	ADV
jbi-22655	13	17	in	in	ADP
jbi-22655	13	18	one	one	NUM
jbi-22655	13	19	metric	metric	NOUN
jbi-22655	13	20	may	may	AUX
jbi-22655	13	21	not	not	PART
jbi-22655	13	22	excel	excel	VERB
jbi-22655	13	23	in	in	ADP
jbi-22655	13	24	the	the	DET
jbi-22655	13	25	other	other	ADJ
jbi-22655	13	26	.	.	PUNCT
jbi-22655	14	1	in	in	ADP
jbi-22655	14	2	conclusion	conclusion	NOUN
jbi-22655	14	3	,	,	PUNCT
jbi-22655	14	4	this	this	DET
jbi-22655	14	5	research	research	NOUN
jbi-22655	14	6	advances	advance	VERB
jbi-22655	14	7	the	the	DET
jbi-22655	14	8	discussion	discussion	NOUN
jbi-22655	14	9	on	on	ADP
jbi-22655	14	10	calibration	calibration	NOUN
jbi-22655	14	11	area	area	NOUN
jbi-22655	14	12	selection	selection	NOUN
jbi-22655	14	13	,	,	PUNCT
jbi-22655	14	14	providing	provide	VERB
jbi-22655	14	15	insights	insight	NOUN
jbi-22655	14	16	on	on	ADP
jbi-22655	14	17	its	its	PRON
jbi-22655	14	18	substantial	substantial	ADJ
jbi-22655	14	19	effects	effect	NOUN
jbi-22655	14	20	on	on	ADP
jbi-22655	14	21	model	model	NOUN
jbi-22655	14	22	accuracy	accuracy	NOUN
jbi-22655	14	23	.	.	PUNCT
jbi-22655	15	1	our	our	PRON
jbi-22655	15	2	findings	finding	NOUN
jbi-22655	15	3	demonstrate	demonstrate	VERB
jbi-22655	15	4	that	that	SCONJ
jbi-22655	15	5	the	the	DET
jbi-22655	15	6	size	size	NOUN
jbi-22655	15	7	of	of	ADP
jbi-22655	15	8	the	the	DET
jbi-22655	15	9	calibration	calibration	NOUN
jbi-22655	15	10	area	area	NOUN
jbi-22655	15	11	is	be	AUX
jbi-22655	15	12	one	one	NUM
jbi-22655	15	13	of	of	ADP
jbi-22655	15	14	the	the	DET
jbi-22655	15	15	most	most	ADV
jbi-22655	15	16	critical	critical	ADJ
jbi-22655	15	17	factors	factor	NOUN
jbi-22655	15	18	affecting	affect	VERB
jbi-22655	15	19	the	the	DET
jbi-22655	15	20	accuracy	accuracy	NOUN
jbi-22655	15	21	of	of	ADP
jbi-22655	15	22	models	model	NOUN
jbi-22655	15	23	,	,	PUNCT
jbi-22655	15	24	surpassing	surpass	VERB
jbi-22655	15	25	the	the	DET
jbi-22655	15	26	influence	influence	NOUN
jbi-22655	15	27	of	of	ADP
jbi-22655	15	28	other	other	ADJ
jbi-22655	15	29	factors	factor	NOUN
jbi-22655	15	30	.	.	PUNCT
jbi-22655	16	1	these	these	DET
jbi-22655	16	2	insights	insight	NOUN
jbi-22655	16	3	highlight	highlight	VERB
jbi-22655	16	4	the	the	DET
jbi-22655	16	5	importance	importance	NOUN
jbi-22655	16	6	of	of	ADP
jbi-22655	16	7	select	select	ADJ
jbi-22655	16	8	appropriate	appropriate	ADJ
jbi-22655	16	9	calibration	calibration	NOUN
jbi-22655	16	10	areas	area	NOUN
jbi-22655	16	11	to	to	PART
jbi-22655	16	12	improve	improve	VERB
jbi-22655	16	13	model	model	NOUN
jbi-22655	16	14	predictions	prediction	NOUN
jbi-22655	16	15	and	and	CCONJ
jbi-22655	16	16	ensure	ensure	VERB
jbi-22655	16	17	more	more	ADV
jbi-22655	16	18	reliable	reliable	ADJ
jbi-22655	16	19	applications	application	NOUN
jbi-22655	16	20	of	of	ADP
jbi-22655	16	21	the	the	DET
jbi-22655	16	22	models	model	NOUN
jbi-22655	16	23	.	.	PUNCT
jbi-22655	17	1	key	key	ADJ
jbi-22655	17	2	words	word	NOUN
jbi-22655	17	3	:	:	PUNCT
jbi-22655	17	4	species	specie	NOUN
jbi-22655	17	5	distribution	distribution	NOUN
jbi-22655	17	6	models	model	NOUN
jbi-22655	17	7	,	,	PUNCT
jbi-22655	17	8	ecological	ecological	ADJ
jbi-22655	17	9	niche	niche	NOUN
jbi-22655	17	10	,	,	PUNCT
jbi-22655	17	11	calibration	calibration	NOUN
jbi-22655	17	12	area	area	NOUN
jbi-22655	17	13	,	,	PUNCT
jbi-22655	17	14	model	model	NOUN
jbi-22655	17	15	accuracy	accuracy	NOUN
jbi-22655	17	16	,	,	PUNCT
jbi-22655	17	17	virtual	virtual	ADJ
jbi-22655	17	18	species	specie	NOUN
jbi-22655	17	19	,	,	PUNCT
jbi-22655	17	20	simulations	simulation	NOUN
jbi-22655	17	21	,	,	PUNCT
jbi-22655	17	22	maxent	maxent	ADJ
jbi-22655	17	23	introduction	introduction	NOUN
jbi-22655	17	24	species	species	NOUN
jbi-22655	17	25	distribution	distribution	NOUN
jbi-22655	17	26	models	model	NOUN
jbi-22655	17	27	(	(	PUNCT
jbi-22655	17	28	sdm	sdm	PROPN
jbi-22655	17	29	)	)	PUNCT
jbi-22655	17	30	are	be	AUX
jbi-22655	17	31	widely	widely	ADV
jbi-22655	17	32	used	use	VERB
jbi-22655	17	33	tools	tool	NOUN
jbi-22655	17	34	in	in	ADP
jbi-22655	17	35	ecology	ecology	NOUN
jbi-22655	17	36	and	and	CCONJ
jbi-22655	17	37	conservation	conservation	NOUN
jbi-22655	17	38	aimed	aim	VERB
jbi-22655	17	39	at	at	ADP
jbi-22655	17	40	predicting	predict	VERB
jbi-22655	17	41	the	the	DET
jbi-22655	17	42	potential	potential	ADJ
jbi-22655	17	43	distribution	distribution	NOUN
jbi-22655	17	44	of	of	ADP
jbi-22655	17	45	a	a	DET
jbi-22655	17	46	species	specie	NOUN
jbi-22655	17	47	based	base	VERB
jbi-22655	17	48	on	on	ADP
jbi-22655	17	49	its	its	PRON
jbi-22655	17	50	environmental	environmental	ADJ
jbi-22655	17	51	requirements	requirement	NOUN
jbi-22655	17	52	and	and	CCONJ
jbi-22655	17	53	occurrence	occurrence	NOUN
jbi-22655	17	54	data	datum	NOUN
jbi-22655	17	55	(	(	PUNCT
jbi-22655	17	56	peterson	peterson	NOUN
jbi-22655	17	57	and	and	CCONJ
jbi-22655	17	58	soberón	soberón	PROPN
jbi-22655	17	59	2012	2012	NUM
jbi-22655	17	60	)	)	PUNCT
jbi-22655	17	61	.	.	PUNCT
jbi-22655	18	1	sdm	sdm	PROPN
jbi-22655	18	2	provide	provide	VERB
jbi-22655	18	3	valuable	valuable	ADJ
jbi-22655	18	4	information	information	NOUN
jbi-22655	18	5	for	for	ADP
jbi-22655	18	6	assessing	assess	VERB
jbi-22655	18	7	biodiversity	biodiversity	NOUN
jbi-22655	18	8	patterns	pattern	NOUN
jbi-22655	18	9	(	(	PUNCT
jbi-22655	18	10	weaver	weaver	NOUN
jbi-22655	18	11	et	et	PROPN
jbi-22655	18	12	al	al	PROPN
jbi-22655	18	13	.	.	PROPN
jbi-22655	18	14	2006	2006	NUM
jbi-22655	18	15	)	)	PUNCT
jbi-22655	18	16	,	,	PUNCT
jbi-22655	18	17	identifying	identify	VERB
jbi-22655	18	18	conservation	conservation	NOUN
jbi-22655	18	19	priorities	priority	NOUN
jbi-22655	18	20	(	(	PUNCT
jbi-22655	18	21	srinivasulu	srinivasulu	PROPN
jbi-22655	18	22	et	et	PROPN
jbi-22655	18	23	al	al	PROPN
jbi-22655	18	24	.	.	PROPN
jbi-22655	18	25	2021	2021	NUM
jbi-22655	18	26	)	)	PUNCT
jbi-22655	18	27	,	,	PUNCT
jbi-22655	18	28	evaluating	evaluate	VERB
jbi-22655	18	29	climate	climate	NOUN
jbi-22655	18	30	change	change	NOUN
jbi-22655	18	31	impacts	impact	NOUN
jbi-22655	18	32	(	(	PUNCT
jbi-22655	18	33	brodie	brodie	PROPN
jbi-22655	18	34	et	et	PROPN
jbi-22655	18	35	al	al	PROPN
jbi-22655	18	36	.	.	PROPN
jbi-22655	18	37	2022	2022	NUM
jbi-22655	18	38	)	)	PUNCT
jbi-22655	18	39	,	,	PUNCT
jbi-22655	18	40	and	and	CCONJ
jbi-22655	18	41	forecasting	forecast	VERB
jbi-22655	18	42	species	species	NOUN
jbi-22655	18	43	invasions	invasion	NOUN
jbi-22655	18	44	(	(	PUNCT
jbi-22655	18	45	duque	duque	PROPN
jbi-22655	18	46	-	-	PUNCT
jbi-22655	18	47	lazo	lazo	NOUN
jbi-22655	18	48	et	et	PROPN
jbi-22655	18	49	al	al	PROPN
jbi-22655	18	50	.	.	PROPN
jbi-22655	18	51	2016	2016	NUM
jbi-22655	18	52	)	)	PUNCT
jbi-22655	18	53	.	.	PUNCT
jbi-22655	19	1	however	however	ADV
jbi-22655	19	2	,	,	PUNCT
jbi-22655	19	3	sdm	sdm	PROPN
jbi-22655	19	4	also	also	ADV
jbi-22655	19	5	face	face	VERB
jbi-22655	19	6	many	many	ADJ
jbi-22655	19	7	challenges	challenge	NOUN
jbi-22655	19	8	and	and	CCONJ
jbi-22655	19	9	uncertainties	uncertainty	NOUN
jbi-22655	19	10	that	that	PRON
jbi-22655	19	11	may	may	AUX
jbi-22655	19	12	impair	impair	VERB
jbi-22655	19	13	their	their	PRON
jbi-22655	19	14	reliability	reliability	NOUN
jbi-22655	19	15	(	(	PUNCT
jbi-22655	19	16	see	see	VERB
jbi-22655	19	17	sillero	sillero	NOUN
jbi-22655	19	18	et	et	PROPN
jbi-22655	19	19	al	al	PROPN
jbi-22655	19	20	.	.	PROPN
jbi-22655	20	1	(	(	PUNCT
jbi-22655	20	2	2021	2021	NUM
jbi-22655	20	3	)	)	PUNCT
jbi-22655	20	4	and	and	CCONJ
jbi-22655	20	5	sillero	sillero	NOUN
jbi-22655	20	6	and	and	CCONJ
jbi-22655	20	7	barbosa	barbosa	PROPN
jbi-22655	20	8	(	(	PUNCT
jbi-22655	20	9	2021	2021	NUM
jbi-22655	20	10	)	)	PUNCT
jbi-22655	20	11	for	for	ADP
jbi-22655	20	12	details	detail	NOUN
jbi-22655	20	13	)	)	PUNCT
jbi-22655	20	14	.	.	PUNCT
jbi-22655	21	1	one	one	NUM
jbi-22655	21	2	significant	significant	ADJ
jbi-22655	21	3	challenge	challenge	NOUN
jbi-22655	21	4	is	be	AUX
jbi-22655	21	5	the	the	DET
jbi-22655	21	6	occurrence	occurrence	NOUN
jbi-22655	21	7	thinning	thinning	NOUN
jbi-22655	21	8	process	process	NOUN
jbi-22655	21	9	,	,	PUNCT
jbi-22655	21	10	which	which	PRON
jbi-22655	21	11	aims	aim	VERB
jbi-22655	21	12	to	to	PART
jbi-22655	21	13	reduce	reduce	VERB
jbi-22655	21	14	artificial	artificial	ADJ
jbi-22655	21	15	clustering	clustering	NOUN
jbi-22655	21	16	in	in	ADP
jbi-22655	21	17	species	specie	NOUN
jbi-22655	21	18	occurrence	occurrence	NOUN
jbi-22655	21	19	records	record	NOUN
jbi-22655	21	20	.	.	PUNCT
jbi-22655	22	1	while	while	SCONJ
jbi-22655	22	2	thinning	thinning	NOUN
jbi-22655	22	3	is	be	AUX
jbi-22655	22	4	necessary	necessary	ADJ
jbi-22655	22	5	to	to	PART
jbi-22655	22	6	mitigate	mitigate	VERB
jbi-22655	22	7	biases	bias	NOUN
jbi-22655	22	8	introduced	introduce	VERB
jbi-22655	22	9	by	by	ADP
jbi-22655	22	10	uneven	uneven	ADJ
jbi-22655	22	11	sampling	sample	VERB
jbi-22655	22	12	efforts	effort	NOUN
jbi-22655	22	13	,	,	PUNCT
jbi-22655	22	14	it	it	PRON
jbi-22655	22	15	can	can	AUX
jbi-22655	22	16	also	also	ADV
jbi-22655	22	17	reduce	reduce	VERB
jbi-22655	22	18	the	the	DET
jbi-22655	22	19	number	number	NOUN
jbi-22655	22	20	of	of	ADP
jbi-22655	22	21	data	datum	NOUN
jbi-22655	22	22	points	point	NOUN
jbi-22655	22	23	available	available	ADJ
jbi-22655	22	24	for	for	ADP
jbi-22655	22	25	modeling	modeling	NOUN
jbi-22655	22	26	,	,	PUNCT
jbi-22655	22	27	potentialluna	potentialluna	PROPN
jbi-22655	22	28	et	et	PROPN
jbi-22655	22	29	al	al	PROPN
jbi-22655	22	30	.	.	PROPN
jbi-22655	23	1	–	–	PUNCT
jbi-22655	23	2	species	species	NOUN
jbi-22655	23	3	distribution	distribution	NOUN
jbi-22655	23	4	model	model	NOUN
jbi-22655	23	5	accuracy	accuracy	NOUN
jbi-22655	23	6	influenced	influence	VERB
jbi-22655	23	7	by	by	ADP
jbi-22655	23	8	calibration	calibration	NOUN
jbi-22655	23	9	area	area	NOUN
jbi-22655	23	10	44	44	NUM
jbi-22655	23	11	ly	ly	ADP
jbi-22655	23	12	affecting	affect	VERB
jbi-22655	23	13	the	the	DET
jbi-22655	23	14	model	model	NOUN
jbi-22655	23	15	’s	’s	PART
jbi-22655	23	16	performance	performance	NOUN
jbi-22655	23	17	and	and	CCONJ
jbi-22655	23	18	accuracy	accuracy	NOUN
jbi-22655	23	19	(	(	PUNCT
jbi-22655	23	20	veloz	veloz	NOUN
jbi-22655	23	21	,	,	PUNCT
jbi-22655	23	22	2009	2009	NUM
jbi-22655	23	23	;	;	PUNCT
jbi-22655	23	24	boria	boria	PROPN
jbi-22655	23	25	et	et	PROPN
jbi-22655	23	26	al	al	PROPN
jbi-22655	23	27	.	.	PROPN
jbi-22655	23	28	2014	2014	NUM
jbi-22655	23	29	;	;	PUNCT
jbi-22655	23	30	varela	varela	PROPN
jbi-22655	23	31	et	et	PROPN
jbi-22655	23	32	al	al	PROPN
jbi-22655	23	33	.	.	PROPN
jbi-22655	23	34	2014	2014	NUM
jbi-22655	23	35	)	)	PUNCT
jbi-22655	23	36	.	.	PUNCT
jbi-22655	24	1	another	another	DET
jbi-22655	24	2	critical	critical	ADJ
jbi-22655	24	3	challenge	challenge	NOUN
jbi-22655	24	4	that	that	PRON
jbi-22655	24	5	significantly	significantly	ADV
jbi-22655	24	6	impacts	impact	VERB
jbi-22655	24	7	model	model	NOUN
jbi-22655	24	8	performance	performance	NOUN
jbi-22655	24	9	is	be	AUX
jbi-22655	24	10	managing	manage	VERB
jbi-22655	24	11	multicollinearity	multicollinearity	NOUN
jbi-22655	24	12	among	among	ADP
jbi-22655	24	13	predictor	predictor	NOUN
jbi-22655	24	14	variables	variable	NOUN
jbi-22655	24	15	.	.	PUNCT
jbi-22655	25	1	high	high	ADJ
jbi-22655	25	2	levels	level	NOUN
jbi-22655	25	3	of	of	ADP
jbi-22655	25	4	correlation	correlation	NOUN
jbi-22655	25	5	between	between	ADP
jbi-22655	25	6	variables	variable	NOUN
jbi-22655	25	7	can	can	AUX
jbi-22655	25	8	lead	lead	VERB
jbi-22655	25	9	to	to	ADP
jbi-22655	25	10	overfitting	overfitte	VERB
jbi-22655	25	11	,	,	PUNCT
jbi-22655	25	12	where	where	SCONJ
jbi-22655	25	13	the	the	DET
jbi-22655	25	14	model	model	NOUN
jbi-22655	25	15	becomes	becomes	AUX
jbi-22655	25	16	excessively	excessively	ADV
jbi-22655	25	17	tailored	tailor	VERB
jbi-22655	25	18	to	to	ADP
jbi-22655	25	19	the	the	DET
jbi-22655	25	20	training	training	NOUN
jbi-22655	25	21	data	datum	NOUN
jbi-22655	25	22	,	,	PUNCT
jbi-22655	25	23	reducing	reduce	VERB
jbi-22655	25	24	its	its	PRON
jbi-22655	25	25	ability	ability	NOUN
jbi-22655	25	26	to	to	PART
jbi-22655	25	27	generalize	generalize	VERB
jbi-22655	25	28	to	to	ADP
jbi-22655	25	29	new	new	ADJ
jbi-22655	25	30	data	datum	NOUN
jbi-22655	25	31	.	.	PUNCT
jbi-22655	26	1	additionally	additionally	ADV
jbi-22655	26	2	,	,	PUNCT
jbi-22655	26	3	multicollinearity	multicollinearity	NOUN
jbi-22655	26	4	can	can	AUX
jbi-22655	26	5	result	result	VERB
jbi-22655	26	6	in	in	ADP
jbi-22655	26	7	unreliable	unreliable	ADJ
jbi-22655	26	8	response	response	NOUN
jbi-22655	26	9	curves	curve	NOUN
jbi-22655	26	10	,	,	PUNCT
jbi-22655	26	11	where	where	SCONJ
jbi-22655	26	12	the	the	DET
jbi-22655	26	13	effect	effect	NOUN
jbi-22655	26	14	of	of	ADP
jbi-22655	26	15	one	one	NUM
jbi-22655	26	16	variable	variable	NOUN
jbi-22655	26	17	is	be	AUX
jbi-22655	26	18	confounded	confound	VERB
jbi-22655	26	19	by	by	ADP
jbi-22655	26	20	its	its	PRON
jbi-22655	26	21	correlation	correlation	NOUN
jbi-22655	26	22	with	with	ADP
jbi-22655	26	23	others	other	NOUN
jbi-22655	26	24	,	,	PUNCT
jbi-22655	26	25	making	make	VERB
jbi-22655	26	26	it	it	PRON
jbi-22655	26	27	difficult	difficult	ADJ
jbi-22655	26	28	to	to	PART
jbi-22655	26	29	discern	discern	VERB
jbi-22655	26	30	the	the	DET
jbi-22655	26	31	true	true	ADJ
jbi-22655	26	32	influence	influence	NOUN
jbi-22655	26	33	of	of	ADP
jbi-22655	26	34	each	each	DET
jbi-22655	26	35	predictor	predictor	NOUN
jbi-22655	26	36	(	(	PUNCT
jbi-22655	26	37	dormann	dormann	PROPN
jbi-22655	26	38	et	et	PROPN
jbi-22655	26	39	al	al	PROPN
jbi-22655	26	40	.	.	PROPN
jbi-22655	26	41	2013	2013	NUM
jbi-22655	26	42	;	;	PUNCT
jbi-22655	26	43	de	de	PROPN
jbi-22655	26	44	marco	marco	PROPN
jbi-22655	26	45	and	and	CCONJ
jbi-22655	26	46	nóbrega	nóbrega	PROPN
jbi-22655	26	47	,	,	PUNCT
jbi-22655	26	48	2018	2018	NUM
jbi-22655	26	49	;	;	PUNCT
jbi-22655	26	50	feng	feng	PROPN
jbi-22655	26	51	et	et	PROPN
jbi-22655	26	52	al	al	PROPN
jbi-22655	26	53	.	.	PROPN
jbi-22655	26	54	2019	2019	NUM
jbi-22655	26	55	)	)	PUNCT
jbi-22655	26	56	.	.	PUNCT
jbi-22655	27	1	furthermore	furthermore	ADV
jbi-22655	27	2	,	,	PUNCT
jbi-22655	27	3	the	the	DET
jbi-22655	27	4	challenge	challenge	NOUN
jbi-22655	27	5	of	of	ADP
jbi-22655	27	6	selecting	select	VERB
jbi-22655	27	7	the	the	DET
jbi-22655	27	8	ideal	ideal	ADJ
jbi-22655	27	9	calibration	calibration	NOUN
jbi-22655	27	10	area	area	NOUN
jbi-22655	27	11	adds	add	VERB
jbi-22655	27	12	another	another	DET
jbi-22655	27	13	layer	layer	NOUN
jbi-22655	27	14	of	of	ADP
jbi-22655	27	15	complexity	complexity	NOUN
jbi-22655	27	16	,	,	PUNCT
jbi-22655	27	17	as	as	SCONJ
jbi-22655	27	18	it	it	PRON
jbi-22655	27	19	directly	directly	ADV
jbi-22655	27	20	influences	influence	VERB
jbi-22655	27	21	the	the	DET
jbi-22655	27	22	geographic	geographic	ADJ
jbi-22655	27	23	region	region	NOUN
jbi-22655	27	24	where	where	SCONJ
jbi-22655	27	25	the	the	DET
jbi-22655	27	26	model	model	NOUN
jbi-22655	27	27	is	be	AUX
jbi-22655	27	28	calibrated	calibrate	VERB
jbi-22655	27	29	using	use	VERB
jbi-22655	27	30	observed	observe	VERB
jbi-22655	27	31	data	datum	NOUN
jbi-22655	27	32	(	(	PUNCT
jbi-22655	27	33	machado	machado	PROPN
jbi-22655	27	34	-	-	PUNCT
jbi-22655	27	35	stredel	stredel	PROPN
jbi-22655	27	36	et	et	PROPN
jbi-22655	27	37	al	al	PROPN
jbi-22655	27	38	.	.	PROPN
jbi-22655	27	39	2021	2021	NUM
jbi-22655	27	40	)	)	PUNCT
jbi-22655	27	41	.	.	PUNCT
jbi-22655	28	1	this	this	PRON
jbi-22655	28	2	is	be	AUX
jbi-22655	28	3	particularly	particularly	ADV
jbi-22655	28	4	important	important	ADJ
jbi-22655	28	5	for	for	ADP
jbi-22655	28	6	some	some	DET
jbi-22655	28	7	presence	presence	NOUN
jbi-22655	28	8	-	-	PUNCT
jbi-22655	28	9	background	background	NOUN
jbi-22655	28	10	algorithms	algorithm	NOUN
jbi-22655	28	11	,	,	PUNCT
jbi-22655	28	12	such	such	ADJ
jbi-22655	28	13	as	as	ADP
jbi-22655	28	14	ecological	ecological	ADJ
jbi-22655	28	15	niche	niche	NOUN
jbi-22655	28	16	factor	factor	NOUN
jbi-22655	28	17	analysis	analysis	NOUN
jbi-22655	28	18	(	(	PUNCT
jbi-22655	28	19	enfa	enfa	NOUN
jbi-22655	28	20	;	;	PUNCT
jbi-22655	28	21	hirzel	hirzel	PROPN
jbi-22655	28	22	et	et	PROPN
jbi-22655	28	23	al	al	PROPN
jbi-22655	28	24	.	.	PROPN
jbi-22655	28	25	2002	2002	NUM
jbi-22655	28	26	)	)	PUNCT
jbi-22655	28	27	,	,	PUNCT
jbi-22655	28	28	genetic	genetic	ADJ
jbi-22655	28	29	algorithm	algorithm	NOUN
jbi-22655	28	30	for	for	ADP
jbi-22655	28	31	rule	rule	NOUN
jbi-22655	28	32	-	-	PUNCT
jbi-22655	28	33	set	set	VERB
jbi-22655	28	34	production	production	NOUN
jbi-22655	28	35	(	(	PUNCT
jbi-22655	28	36	garp	garp	NOUN
jbi-22655	28	37	;	;	PUNCT
jbi-22655	28	38	stockwell	stockwell	PROPN
jbi-22655	28	39	and	and	CCONJ
jbi-22655	28	40	noble	noble	ADJ
jbi-22655	28	41	,	,	PUNCT
jbi-22655	28	42	1992	1992	NUM
jbi-22655	28	43	)	)	PUNCT
jbi-22655	28	44	,	,	PUNCT
jbi-22655	28	45	and	and	CCONJ
jbi-22655	28	46	maximum	maximum	ADJ
jbi-22655	28	47	entropy	entropy	NOUN
jbi-22655	28	48	(	(	PUNCT
jbi-22655	28	49	maxent	maxent	NOUN
jbi-22655	28	50	;	;	PUNCT
jbi-22655	28	51	phillips	phillip	NOUN
jbi-22655	28	52	et	et	PROPN
jbi-22655	28	53	al	al	PROPN
jbi-22655	28	54	.	.	PROPN
jbi-22655	28	55	2006	2006	NUM
jbi-22655	28	56	;	;	PUNCT
jbi-22655	28	57	merow	merow	VERB
jbi-22655	28	58	et	et	PROPN
jbi-22655	28	59	al	al	PROPN
jbi-22655	28	60	.	.	PROPN
jbi-22655	28	61	2013	2013	NUM
jbi-22655	28	62	)	)	PUNCT
jbi-22655	28	63	,	,	PUNCT
jbi-22655	28	64	which	which	PRON
jbi-22655	28	65	are	be	AUX
jbi-22655	28	66	influenced	influence	VERB
jbi-22655	28	67	by	by	ADP
jbi-22655	28	68	the	the	DET
jbi-22655	28	69	selection	selection	NOUN
jbi-22655	28	70	of	of	ADP
jbi-22655	28	71	the	the	DET
jbi-22655	28	72	calibration	calibration	NOUN
jbi-22655	28	73	area	area	NOUN
jbi-22655	28	74	.	.	PUNCT
jbi-22655	29	1	it	it	PRON
jbi-22655	29	2	is	be	AUX
jbi-22655	29	3	important	important	ADJ
jbi-22655	29	4	to	to	PART
jbi-22655	29	5	emphasize	emphasize	VERB
jbi-22655	29	6	that	that	SCONJ
jbi-22655	29	7	while	while	SCONJ
jbi-22655	29	8	the	the	DET
jbi-22655	29	9	selection	selection	NOUN
jbi-22655	29	10	of	of	ADP
jbi-22655	29	11	the	the	DET
jbi-22655	29	12	calibration	calibration	NOUN
jbi-22655	29	13	area	area	NOUN
jbi-22655	29	14	is	be	AUX
jbi-22655	29	15	a	a	DET
jbi-22655	29	16	critical	critical	ADJ
jbi-22655	29	17	challenge	challenge	NOUN
jbi-22655	29	18	for	for	ADP
jbi-22655	29	19	some	some	DET
jbi-22655	29	20	algorithms	algorithm	NOUN
jbi-22655	29	21	,	,	PUNCT
jbi-22655	29	22	not	not	PART
jbi-22655	29	23	all	all	DET
jbi-22655	29	24	methods	method	NOUN
jbi-22655	29	25	face	face	VERB
jbi-22655	29	26	this	this	DET
jbi-22655	29	27	problem	problem	NOUN
jbi-22655	29	28	(	(	PUNCT
jbi-22655	29	29	sillero	sillero	NOUN
jbi-22655	29	30	et	et	PROPN
jbi-22655	29	31	al	al	PROPN
jbi-22655	29	32	.	.	PROPN
jbi-22655	29	33	2021	2021	NUM
jbi-22655	29	34	)	)	PUNCT
jbi-22655	29	35	.	.	PUNCT
jbi-22655	30	1	for	for	ADP
jbi-22655	30	2	instance	instance	NOUN
jbi-22655	30	3	,	,	PUNCT
jbi-22655	30	4	mahalanobis	mahalanobis	ADJ
jbi-22655	30	5	distance	distance	NOUN
jbi-22655	30	6	(	(	PUNCT
jbi-22655	30	7	clark	clark	PROPN
jbi-22655	30	8	et	et	PROPN
jbi-22655	30	9	al	al	PROPN
jbi-22655	30	10	.	.	PROPN
jbi-22655	30	11	1993	1993	NUM
jbi-22655	30	12	)	)	PUNCT
jbi-22655	30	13	and	and	CCONJ
jbi-22655	30	14	bioclim	bioclim	NOUN
jbi-22655	30	15	(	(	PUNCT
jbi-22655	30	16	booth	booth	NOUN
jbi-22655	30	17	et	et	PROPN
jbi-22655	30	18	al	al	PROPN
jbi-22655	30	19	.	.	PROPN
jbi-22655	30	20	2014	2014	NUM
jbi-22655	30	21	)	)	PUNCT
jbi-22655	30	22	do	do	AUX
jbi-22655	30	23	not	not	PART
jbi-22655	30	24	require	require	VERB
jbi-22655	30	25	a	a	DET
jbi-22655	30	26	calibration	calibration	NOUN
jbi-22655	30	27	area	area	NOUN
jbi-22655	30	28	due	due	ADP
jbi-22655	30	29	to	to	ADP
jbi-22655	30	30	their	their	PRON
jbi-22655	30	31	focus	focus	NOUN
jbi-22655	30	32	on	on	ADP
jbi-22655	30	33	occurrence	occurrence	NOUN
jbi-22655	30	34	data	datum	NOUN
jbi-22655	30	35	.	.	PUNCT
jbi-22655	31	1	presence	presence	NOUN
jbi-22655	31	2	-	-	PUNCT
jbi-22655	31	3	background	background	NOUN
jbi-22655	31	4	methods	method	NOUN
jbi-22655	31	5	evaluate	evaluate	VERB
jbi-22655	31	6	the	the	DET
jbi-22655	31	7	environmental	environmental	ADJ
jbi-22655	31	8	conditions	condition	NOUN
jbi-22655	31	9	across	across	ADP
jbi-22655	31	10	the	the	DET
jbi-22655	31	11	study	study	NOUN
jbi-22655	31	12	area	area	NOUN
jbi-22655	31	13	(	(	PUNCT
jbi-22655	31	14	background	background	NOUN
jbi-22655	31	15	)	)	PUNCT
jbi-22655	31	16	and	and	CCONJ
jbi-22655	31	17	compare	compare	VERB
jbi-22655	31	18	them	they	PRON
jbi-22655	31	19	with	with	ADP
jbi-22655	31	20	the	the	DET
jbi-22655	31	21	conditions	condition	NOUN
jbi-22655	31	22	where	where	SCONJ
jbi-22655	31	23	the	the	DET
jbi-22655	31	24	species	specie	NOUN
jbi-22655	31	25	is	be	AUX
jbi-22655	31	26	found	find	VERB
jbi-22655	31	27	,	,	PUNCT
jbi-22655	31	28	as	as	SCONJ
jbi-22655	31	29	indicated	indicate	VERB
jbi-22655	31	30	by	by	ADP
jbi-22655	31	31	its	its	PRON
jbi-22655	31	32	occurrence	occurrence	NOUN
jbi-22655	31	33	records	record	NOUN
jbi-22655	31	34	(	(	PUNCT
jbi-22655	31	35	phillips	phillip	NOUN
jbi-22655	31	36	et	et	PROPN
jbi-22655	31	37	al	al	PROPN
jbi-22655	31	38	.	.	PROPN
jbi-22655	31	39	2006	2006	NUM
jbi-22655	31	40	;	;	PUNCT
jbi-22655	31	41	merow	merow	VERB
jbi-22655	31	42	et	et	PROPN
jbi-22655	31	43	al	al	PROPN
jbi-22655	31	44	.	.	PROPN
jbi-22655	31	45	2013	2013	NUM
jbi-22655	31	46	)	)	PUNCT
jbi-22655	31	47	.	.	PUNCT
jbi-22655	32	1	the	the	DET
jbi-22655	32	2	choice	choice	NOUN
jbi-22655	32	3	of	of	ADP
jbi-22655	32	4	calibration	calibration	NOUN
jbi-22655	32	5	area	area	NOUN
jbi-22655	32	6	can	can	AUX
jbi-22655	32	7	significantly	significantly	ADV
jbi-22655	32	8	influence	influence	VERB
jbi-22655	32	9	model	model	NOUN
jbi-22655	32	10	accuracy	accuracy	NOUN
jbi-22655	32	11	,	,	PUNCT
jbi-22655	32	12	as	as	SCONJ
jbi-22655	32	13	different	different	ADJ
jbi-22655	32	14	areas	area	NOUN
jbi-22655	32	15	may	may	AUX
jbi-22655	32	16	have	have	VERB
jbi-22655	32	17	different	different	ADJ
jbi-22655	32	18	environmental	environmental	ADJ
jbi-22655	32	19	conditions	condition	NOUN
jbi-22655	32	20	and	and	CCONJ
jbi-22655	32	21	sampling	sample	VERB
jbi-22655	32	22	biases	bias	NOUN
jbi-22655	32	23	(	(	PUNCT
jbi-22655	32	24	acevedo	acevedo	PROPN
jbi-22655	32	25	et	et	PROPN
jbi-22655	32	26	al	al	PROPN
jbi-22655	32	27	.	.	PROPN
jbi-22655	32	28	2012	2012	NUM
jbi-22655	32	29	;	;	PUNCT
jbi-22655	32	30	owens	owens	PROPN
jbi-22655	32	31	et	et	PROPN
jbi-22655	32	32	al	al	PROPN
jbi-22655	32	33	.	.	PROPN
jbi-22655	32	34	2013	2013	NUM
jbi-22655	32	35	)	)	PUNCT
jbi-22655	32	36	.	.	PUNCT
jbi-22655	33	1	the	the	DET
jbi-22655	33	2	ideal	ideal	ADJ
jbi-22655	33	3	calibration	calibration	NOUN
jbi-22655	33	4	area	area	NOUN
jbi-22655	33	5	is	be	AUX
jbi-22655	33	6	where	where	SCONJ
jbi-22655	33	7	the	the	DET
jbi-22655	33	8	species	specie	NOUN
jbi-22655	33	9	is	be	AUX
jbi-22655	33	10	in	in	ADP
jbi-22655	33	11	equilibrium	equilibrium	NOUN
jbi-22655	33	12	with	with	ADP
jbi-22655	33	13	its	its	PRON
jbi-22655	33	14	environment	environment	NOUN
jbi-22655	33	15	(	(	PUNCT
jbi-22655	33	16	guisan	guisan	NOUN
jbi-22655	33	17	and	and	CCONJ
jbi-22655	33	18	zimmermann	zimmermann	PROPN
jbi-22655	33	19	,	,	PUNCT
jbi-22655	33	20	2000	2000	NUM
jbi-22655	33	21	)	)	PUNCT
jbi-22655	33	22	.	.	PUNCT
jbi-22655	34	1	this	this	PRON
jbi-22655	34	2	means	mean	VERB
jbi-22655	34	3	that	that	SCONJ
jbi-22655	34	4	the	the	DET
jbi-22655	34	5	species	specie	NOUN
jbi-22655	34	6	has	have	AUX
jbi-22655	34	7	adapted	adapt	VERB
jbi-22655	34	8	to	to	ADP
jbi-22655	34	9	the	the	DET
jbi-22655	34	10	current	current	ADJ
jbi-22655	34	11	environmental	environmental	ADJ
jbi-22655	34	12	conditions	condition	NOUN
jbi-22655	34	13	and	and	CCONJ
jbi-22655	34	14	as	as	ADP
jbi-22655	34	15	a	a	DET
jbi-22655	34	16	result	result	NOUN
jbi-22655	34	17	its	its	PRON
jbi-22655	34	18	distribution	distribution	NOUN
jbi-22655	34	19	reflects	reflect	VERB
jbi-22655	34	20	these	these	DET
jbi-22655	34	21	conditions	condition	NOUN
jbi-22655	34	22	(	(	PUNCT
jbi-22655	34	23	araújo	araújo	NOUN
jbi-22655	34	24	and	and	CCONJ
jbi-22655	34	25	pearson	pearson	PROPN
jbi-22655	34	26	2005	2005	NUM
jbi-22655	34	27	;	;	PUNCT
jbi-22655	34	28	barve	barve	VERB
jbi-22655	34	29	et	et	PROPN
jbi-22655	34	30	al	al	PROPN
jbi-22655	34	31	.	.	PROPN
jbi-22655	34	32	2011	2011	NUM
jbi-22655	34	33	)	)	PUNCT
jbi-22655	34	34	.	.	PUNCT
jbi-22655	35	1	under	under	ADP
jbi-22655	35	2	the	the	DET
jbi-22655	35	3	biotic	biotic	ADJ
jbi-22655	35	4	-	-	PUNCT
jbi-22655	35	5	abiotic	abiotic	ADJ
jbi-22655	35	6	-	-	PUNCT
jbi-22655	35	7	mobility	mobility	NOUN
jbi-22655	35	8	framework	framework	NOUN
jbi-22655	35	9	(	(	PUNCT
jbi-22655	35	10	bam	bam	NOUN
jbi-22655	35	11	)	)	PUNCT
jbi-22655	35	12	,	,	PUNCT
jbi-22655	35	13	the	the	DET
jbi-22655	35	14	m	m	NOUN
jbi-22655	35	15	fulfills	fulfill	VERB
jbi-22655	35	16	this	this	DET
jbi-22655	35	17	assumption	assumption	NOUN
jbi-22655	35	18	(	(	PUNCT
jbi-22655	35	19	soberon	soberon	NOUN
jbi-22655	35	20	and	and	CCONJ
jbi-22655	35	21	peterson	peterson	PROPN
jbi-22655	35	22	2005	2005	NUM
jbi-22655	35	23	;	;	PUNCT
jbi-22655	35	24	barve	barve	VERB
jbi-22655	35	25	et	et	PROPN
jbi-22655	35	26	al	al	PROPN
jbi-22655	35	27	.	.	PROPN
jbi-22655	35	28	2011	2011	NUM
jbi-22655	35	29	)	)	PUNCT
jbi-22655	35	30	;	;	PUNCT
jbi-22655	35	31	however	however	ADV
jbi-22655	35	32	,	,	PUNCT
jbi-22655	35	33	for	for	ADP
jbi-22655	35	34	most	most	ADJ
jbi-22655	35	35	species	specie	NOUN
jbi-22655	35	36	,	,	PUNCT
jbi-22655	35	37	its	its	PRON
jbi-22655	35	38	estimation	estimation	NOUN
jbi-22655	35	39	is	be	AUX
jbi-22655	35	40	complicated	complicate	VERB
jbi-22655	35	41	(	(	PUNCT
jbi-22655	35	42	acevedo	acevedo	PROPN
jbi-22655	35	43	et	et	PROPN
jbi-22655	35	44	al	al	PROPN
jbi-22655	35	45	.	.	PROPN
jbi-22655	35	46	2012	2012	NUM
jbi-22655	35	47	)	)	PUNCT
jbi-22655	35	48	.	.	PUNCT
jbi-22655	36	1	despite	despite	SCONJ
jbi-22655	36	2	its	its	PRON
jbi-22655	36	3	significance	significance	NOUN
jbi-22655	36	4	,	,	PUNCT
jbi-22655	36	5	there	there	PRON
jbi-22655	36	6	has	have	VERB
jbi-22655	36	7	yet	yet	ADV
jbi-22655	36	8	to	to	PART
jbi-22655	36	9	be	be	AUX
jbi-22655	36	10	a	a	DET
jbi-22655	36	11	consensus	consensus	NOUN
jbi-22655	36	12	on	on	ADP
jbi-22655	36	13	how	how	SCONJ
jbi-22655	36	14	to	to	PART
jbi-22655	36	15	select	select	VERB
jbi-22655	36	16	an	an	DET
jbi-22655	36	17	appropriate	appropriate	ADJ
jbi-22655	36	18	calibration	calibration	NOUN
jbi-22655	36	19	area	area	NOUN
jbi-22655	36	20	,	,	PUNCT
jbi-22655	36	21	and	and	CCONJ
jbi-22655	36	22	different	different	ADJ
jbi-22655	36	23	criteria	criterion	NOUN
jbi-22655	36	24	and	and	CCONJ
jbi-22655	36	25	methods	method	NOUN
jbi-22655	36	26	have	have	AUX
jbi-22655	36	27	been	be	AUX
jbi-22655	36	28	used	use	VERB
jbi-22655	36	29	in	in	ADP
jbi-22655	36	30	the	the	DET
jbi-22655	36	31	literature	literature	NOUN
jbi-22655	36	32	(	(	PUNCT
jbi-22655	36	33	machado	machado	PROPN
jbi-22655	36	34	-	-	PUNCT
jbi-22655	36	35	stredel	stredel	PROPN
jbi-22655	36	36	et	et	PROPN
jbi-22655	36	37	al	al	PROPN
jbi-22655	36	38	.	.	PROPN
jbi-22655	36	39	2021	2021	NUM
jbi-22655	36	40	;	;	PUNCT
jbi-22655	36	41	rotllan	rotllan	NOUN
jbi-22655	36	42	-	-	PUNCT
jbi-22655	36	43	puig	puig	NOUN
jbi-22655	36	44	and	and	CCONJ
jbi-22655	36	45	traveset	traveset	VERB
jbi-22655	36	46	2021	2021	NUM
jbi-22655	36	47	)	)	PUNCT
jbi-22655	36	48	.	.	PUNCT
jbi-22655	37	1	some	some	DET
jbi-22655	37	2	approaches	approach	NOUN
jbi-22655	37	3	include	include	VERB
jbi-22655	37	4	selecting	select	VERB
jbi-22655	37	5	political	political	ADJ
jbi-22655	37	6	regions	region	NOUN
jbi-22655	37	7	,	,	PUNCT
jbi-22655	37	8	polygons	polygon	NOUN
jbi-22655	37	9	,	,	PUNCT
jbi-22655	37	10	or	or	CCONJ
jbi-22655	37	11	rectangles	rectangle	NOUN
jbi-22655	37	12	around	around	ADP
jbi-22655	37	13	occurrence	occurrence	NOUN
jbi-22655	37	14	records	record	NOUN
jbi-22655	37	15	(	(	PUNCT
jbi-22655	37	16	shcheglovitova	shcheglovitova	PROPN
jbi-22655	37	17	and	and	CCONJ
jbi-22655	37	18	anderson	anderson	PROPN
jbi-22655	37	19	2013	2013	NUM
jbi-22655	37	20	)	)	PUNCT
jbi-22655	37	21	,	,	PUNCT
jbi-22655	37	22	selecting	select	VERB
jbi-22655	37	23	bioclimatic	bioclimatic	NOUN
jbi-22655	37	24	or	or	CCONJ
jbi-22655	37	25	hydrogeographical	hydrogeographical	ADJ
jbi-22655	37	26	regions	region	NOUN
jbi-22655	37	27	occupied	occupy	VERB
jbi-22655	37	28	by	by	ADP
jbi-22655	37	29	the	the	DET
jbi-22655	37	30	species	specie	NOUN
jbi-22655	37	31	(	(	PUNCT
jbi-22655	37	32	espindola	espindola	PROPN
jbi-22655	37	33	et	et	PROPN
jbi-22655	37	34	al	al	PROPN
jbi-22655	37	35	.	.	PROPN
jbi-22655	37	36	2019	2019	NUM
jbi-22655	37	37	;	;	PUNCT
jbi-22655	37	38	sillero	sillero	NOUN
jbi-22655	37	39	et	et	PROPN
jbi-22655	37	40	al	al	PROPN
jbi-22655	37	41	.	.	PROPN
jbi-22655	37	42	2021	2021	NUM
jbi-22655	37	43	)	)	PUNCT
jbi-22655	37	44	,	,	PUNCT
jbi-22655	37	45	or	or	CCONJ
jbi-22655	37	46	generating	generating	NOUN
jbi-22655	37	47	buffers	buffer	NOUN
jbi-22655	37	48	around	around	ADP
jbi-22655	37	49	occurrence	occurrence	NOUN
jbi-22655	37	50	records	record	NOUN
jbi-22655	37	51	(	(	PUNCT
jbi-22655	37	52	zhu	zhu	X
jbi-22655	37	53	et	et	PROPN
jbi-22655	37	54	al	al	PROPN
jbi-22655	37	55	.	.	PROPN
jbi-22655	37	56	2014	2014	NUM
jbi-22655	37	57	)	)	PUNCT
jbi-22655	37	58	.	.	PUNCT
jbi-22655	38	1	in	in	ADP
jbi-22655	38	2	many	many	ADJ
jbi-22655	38	3	studies	study	NOUN
jbi-22655	38	4	,	,	PUNCT
jbi-22655	38	5	the	the	DET
jbi-22655	38	6	calibration	calibration	NOUN
jbi-22655	38	7	area	area	NOUN
jbi-22655	38	8	used	use	VERB
jbi-22655	38	9	is	be	AUX
jbi-22655	38	10	not	not	PART
jbi-22655	38	11	explicitly	explicitly	ADV
jbi-22655	38	12	stated	state	VERB
jbi-22655	38	13	(	(	PUNCT
jbi-22655	38	14	e.g.	e.g.	ADV
jbi-22655	38	15	,	,	PUNCT
jbi-22655	38	16	masin	masin	PROPN
jbi-22655	38	17	et	et	PROPN
jbi-22655	38	18	al	al	PROPN
jbi-22655	38	19	.	.	PROPN
jbi-22655	38	20	2014	2014	NUM
jbi-22655	38	21	)	)	PUNCT
jbi-22655	38	22	.	.	PUNCT
jbi-22655	39	1	these	these	DET
jbi-22655	39	2	different	different	ADJ
jbi-22655	39	3	methods	method	NOUN
jbi-22655	39	4	can	can	AUX
jbi-22655	39	5	result	result	VERB
jbi-22655	39	6	in	in	ADP
jbi-22655	39	7	regions	region	NOUN
jbi-22655	39	8	of	of	ADP
jbi-22655	39	9	varying	vary	VERB
jbi-22655	39	10	sizes	size	NOUN
jbi-22655	39	11	,	,	PUNCT
jbi-22655	39	12	which	which	PRON
jbi-22655	39	13	can	can	AUX
jbi-22655	39	14	significantly	significantly	ADV
jbi-22655	39	15	impact	impact	VERB
jbi-22655	39	16	subsequent	subsequent	ADJ
jbi-22655	39	17	model	model	NOUN
jbi-22655	39	18	characteristics	characteristic	NOUN
jbi-22655	39	19	.	.	PUNCT
jbi-22655	40	1	according	accord	VERB
jbi-22655	40	2	to	to	ADP
jbi-22655	40	3	several	several	ADJ
jbi-22655	40	4	studies	study	NOUN
jbi-22655	40	5	,	,	PUNCT
jbi-22655	40	6	either	either	CCONJ
jbi-22655	40	7	too	too	ADV
jbi-22655	40	8	constrained	constrained	ADJ
jbi-22655	40	9	or	or	CCONJ
jbi-22655	40	10	overly	overly	ADV
jbi-22655	40	11	expansive	expansive	ADJ
jbi-22655	40	12	calibration	calibration	NOUN
jbi-22655	40	13	areas	area	NOUN
jbi-22655	40	14	may	may	AUX
jbi-22655	40	15	compromise	compromise	VERB
jbi-22655	40	16	the	the	DET
jbi-22655	40	17	accuracy	accuracy	NOUN
jbi-22655	40	18	of	of	ADP
jbi-22655	40	19	model	model	NOUN
jbi-22655	40	20	predictions	prediction	NOUN
jbi-22655	40	21	(	(	PUNCT
jbi-22655	40	22	vanderwal	vanderwal	NOUN
jbi-22655	40	23	et	et	PROPN
jbi-22655	40	24	al	al	PROPN
jbi-22655	40	25	.	.	PROPN
jbi-22655	40	26	2009	2009	NUM
jbi-22655	40	27	,	,	PUNCT
jbi-22655	40	28	acevedo	acevedo	PROPN
jbi-22655	40	29	et	et	PROPN
jbi-22655	40	30	al	al	PROPN
jbi-22655	40	31	.	.	PROPN
jbi-22655	40	32	2012	2012	NUM
jbi-22655	40	33	)	)	PUNCT
jbi-22655	40	34	.	.	PUNCT
jbi-22655	41	1	other	other	ADJ
jbi-22655	41	2	studies	study	NOUN
jbi-22655	41	3	have	have	AUX
jbi-22655	41	4	found	find	VERB
jbi-22655	41	5	that	that	SCONJ
jbi-22655	41	6	smaller	small	ADJ
jbi-22655	41	7	calibration	calibration	NOUN
jbi-22655	41	8	areas	area	NOUN
jbi-22655	41	9	may	may	AUX
jbi-22655	41	10	yield	yield	VERB
jbi-22655	41	11	superior	superior	ADJ
jbi-22655	41	12	model	model	NOUN
jbi-22655	41	13	accuracy	accuracy	NOUN
jbi-22655	41	14	,	,	PUNCT
jbi-22655	41	15	as	as	SCONJ
jbi-22655	41	16	they	they	PRON
jbi-22655	41	17	mitigate	mitigate	VERB
jbi-22655	41	18	the	the	DET
jbi-22655	41	19	risk	risk	NOUN
jbi-22655	41	20	of	of	ADP
jbi-22655	41	21	overfitting	overfitte	VERB
jbi-22655	41	22	to	to	ADP
jbi-22655	41	23	conditions	condition	NOUN
jbi-22655	41	24	near	near	ADP
jbi-22655	41	25	occupied	occupy	VERB
jbi-22655	41	26	localities	locality	NOUN
jbi-22655	41	27	or	or	CCONJ
jbi-22655	41	28	exclude	exclude	VERB
jbi-22655	41	29	regions	region	NOUN
jbi-22655	41	30	with	with	ADP
jbi-22655	41	31	suitable	suitable	ADJ
jbi-22655	41	32	conditions	condition	NOUN
jbi-22655	41	33	that	that	PRON
jbi-22655	41	34	remain	remain	VERB
jbi-22655	41	35	unoccupied	unoccupied	ADJ
jbi-22655	41	36	due	due	ADP
jbi-22655	41	37	to	to	ADP
jbi-22655	41	38	dispersal	dispersal	NOUN
jbi-22655	41	39	limitations	limitation	NOUN
jbi-22655	41	40	and	and	CCONJ
jbi-22655	41	41	biotic	biotic	ADJ
jbi-22655	41	42	interactions	interaction	NOUN
jbi-22655	41	43	(	(	PUNCT
jbi-22655	41	44	anderson	anderson	PROPN
jbi-22655	41	45	and	and	CCONJ
jbi-22655	41	46	raza	raza	PROPN
jbi-22655	41	47	2010	2010	NUM
jbi-22655	41	48	)	)	PUNCT
jbi-22655	41	49	.	.	PUNCT
jbi-22655	42	1	furthermore	furthermore	ADV
jbi-22655	42	2	,	,	PUNCT
jbi-22655	42	3	selecting	select	VERB
jbi-22655	42	4	a	a	DET
jbi-22655	42	5	background	background	NOUN
jbi-22655	42	6	from	from	ADP
jbi-22655	42	7	larger	large	ADJ
jbi-22655	42	8	areas	area	NOUN
jbi-22655	42	9	leads	lead	VERB
jbi-22655	42	10	to	to	ADP
jbi-22655	42	11	changes	change	NOUN
jbi-22655	42	12	in	in	ADP
jbi-22655	42	13	variable	variable	ADJ
jbi-22655	42	14	importance	importance	NOUN
jbi-22655	42	15	,	,	PUNCT
jbi-22655	42	16	resulting	result	VERB
jbi-22655	42	17	in	in	ADP
jbi-22655	42	18	models	model	NOUN
jbi-22655	42	19	becoming	become	VERB
jbi-22655	42	20	increasingly	increasingly	ADV
jbi-22655	42	21	simplified	simplified	ADJ
jbi-22655	42	22	and	and	CCONJ
jbi-22655	42	23	dominated	dominate	VERB
jbi-22655	42	24	primarily	primarily	ADV
jbi-22655	42	25	by	by	ADP
jbi-22655	42	26	just	just	ADV
jbi-22655	42	27	a	a	DET
jbi-22655	42	28	few	few	ADJ
jbi-22655	42	29	variables	variable	NOUN
jbi-22655	42	30	(	(	PUNCT
jbi-22655	42	31	vanderwal	vanderwal	NOUN
jbi-22655	42	32	et	et	PROPN
jbi-22655	42	33	al	al	PROPN
jbi-22655	42	34	.	.	PROPN
jbi-22655	42	35	2009	2009	NUM
jbi-22655	42	36	)	)	PUNCT
jbi-22655	42	37	.	.	PUNCT
jbi-22655	43	1	considering	consider	VERB
jbi-22655	43	2	this	this	DET
jbi-22655	43	3	context	context	NOUN
jbi-22655	43	4	,	,	PUNCT
jbi-22655	43	5	there	there	PRON
jbi-22655	43	6	is	be	VERB
jbi-22655	43	7	a	a	DET
jbi-22655	43	8	strong	strong	ADJ
jbi-22655	43	9	need	need	NOUN
jbi-22655	43	10	for	for	ADP
jbi-22655	43	11	a	a	DET
jbi-22655	43	12	more	more	ADV
jbi-22655	43	13	systematic	systematic	ADJ
jbi-22655	43	14	evaluation	evaluation	NOUN
jbi-22655	43	15	of	of	ADP
jbi-22655	43	16	the	the	DET
jbi-22655	43	17	effect	effect	NOUN
jbi-22655	43	18	of	of	ADP
jbi-22655	43	19	calibration	calibration	NOUN
jbi-22655	43	20	area	area	NOUN
jbi-22655	43	21	on	on	ADP
jbi-22655	43	22	sdm	sdm	NOUN
jbi-22655	43	23	performance	performance	NOUN
jbi-22655	43	24	.	.	PUNCT
jbi-22655	44	1	throughout	throughout	ADP
jbi-22655	44	2	this	this	DET
jbi-22655	44	3	study	study	NOUN
jbi-22655	44	4	,	,	PUNCT
jbi-22655	44	5	we	we	PRON
jbi-22655	44	6	refer	refer	VERB
jbi-22655	44	7	to	to	ADP
jbi-22655	44	8	“	"	PUNCT
jbi-22655	44	9	model	model	NOUN
jbi-22655	44	10	performance	performance	NOUN
jbi-22655	44	11	”	"	PUNCT
jbi-22655	44	12	in	in	ADP
jbi-22655	44	13	terms	term	NOUN
jbi-22655	44	14	of	of	ADP
jbi-22655	44	15	functional	functional	ADJ
jbi-22655	44	16	accuracy	accuracy	NOUN
jbi-22655	44	17	(	(	PUNCT
jbi-22655	44	18	the	the	DET
jbi-22655	44	19	model	model	NOUN
jbi-22655	44	20	’s	’s	PART
jbi-22655	44	21	ability	ability	NOUN
jbi-22655	44	22	to	to	PART
jbi-22655	44	23	infer	infer	VERB
jbi-22655	44	24	the	the	DET
jbi-22655	44	25	true	true	ADJ
jbi-22655	44	26	occurrence	occurrence	NOUN
jbi-22655	44	27	probability	probability	NOUN
jbi-22655	44	28	)	)	PUNCT
jbi-22655	44	29	and	and	CCONJ
jbi-22655	44	30	discrimination	discrimination	NOUN
jbi-22655	44	31	accuracy	accuracy	NOUN
jbi-22655	44	32	(	(	PUNCT
jbi-22655	44	33	the	the	DET
jbi-22655	44	34	model	model	NOUN
jbi-22655	44	35	’s	’s	PART
jbi-22655	44	36	ability	ability	NOUN
jbi-22655	44	37	to	to	PART
jbi-22655	44	38	correctly	correctly	ADV
jbi-22655	44	39	differentiate	differentiate	VERB
jbi-22655	44	40	between	between	ADP
jbi-22655	44	41	presences	presence	NOUN
jbi-22655	44	42	and	and	CCONJ
jbi-22655	44	43	background	background	NOUN
jbi-22655	44	44	in	in	ADP
jbi-22655	44	45	geographic	geographic	ADJ
jbi-22655	44	46	space	space	NOUN
jbi-22655	44	47	)	)	PUNCT
jbi-22655	44	48	(	(	PUNCT
jbi-22655	44	49	warren	warren	PROPN
jbi-22655	44	50	et	et	PROPN
jbi-22655	44	51	al	al	PROPN
jbi-22655	44	52	.	.	PROPN
jbi-22655	44	53	2020	2020	NUM
jbi-22655	44	54	)	)	PUNCT
jbi-22655	44	55	.	.	PUNCT
jbi-22655	45	1	in	in	ADP
jbi-22655	45	2	this	this	DET
jbi-22655	45	3	research	research	NOUN
jbi-22655	45	4	,	,	PUNCT
jbi-22655	45	5	we	we	PRON
jbi-22655	45	6	address	address	VERB
jbi-22655	45	7	this	this	PRON
jbi-22655	45	8	through	through	ADP
jbi-22655	45	9	a	a	DET
jbi-22655	45	10	simulation	simulation	NOUN
jbi-22655	45	11	approach	approach	NOUN
jbi-22655	45	12	.	.	PUNCT
jbi-22655	46	1	virtual	virtual	ADJ
jbi-22655	46	2	species	species	NOUN
jbi-22655	46	3	simulation	simulation	NOUN
jbi-22655	46	4	allows	allow	VERB
jbi-22655	46	5	us	we	PRON
jbi-22655	46	6	to	to	PART
jbi-22655	46	7	create	create	VERB
jbi-22655	46	8	artificial	artificial	ADJ
jbi-22655	46	9	species	specie	NOUN
jbi-22655	46	10	with	with	ADP
jbi-22655	46	11	known	know	VERB
jbi-22655	46	12	occurrence	occurrence	NOUN
jbi-22655	46	13	probabilities	probability	NOUN
jbi-22655	46	14	and	and	CCONJ
jbi-22655	46	15	environmental	environmental	ADJ
jbi-22655	46	16	responses	response	NOUN
jbi-22655	46	17	,	,	PUNCT
jbi-22655	46	18	allowing	allow	VERB
jbi-22655	46	19	the	the	DET
jbi-22655	46	20	accurate	accurate	ADJ
jbi-22655	46	21	isolation	isolation	NOUN
jbi-22655	46	22	of	of	ADP
jbi-22655	46	23	the	the	DET
jbi-22655	46	24	effects	effect	NOUN
jbi-22655	46	25	of	of	ADP
jbi-22655	46	26	targeted	target	VERB
jbi-22655	46	27	factors	factor	NOUN
jbi-22655	46	28	(	(	PUNCT
jbi-22655	46	29	meynard	meynard	NOUN
jbi-22655	46	30	et	et	PROPN
jbi-22655	46	31	al	al	PROPN
jbi-22655	46	32	.	.	PROPN
jbi-22655	46	33	2019	2019	NUM
jbi-22655	46	34	)	)	PUNCT
jbi-22655	46	35	.	.	PUNCT
jbi-22655	47	1	our	our	PRON
jbi-22655	47	2	objectives	objective	NOUN
jbi-22655	47	3	were	be	AUX
jbi-22655	47	4	1	1	NUM
jbi-22655	47	5	)	)	PUNCT
jbi-22655	47	6	to	to	PART
jbi-22655	47	7	compare	compare	VERB
jbi-22655	47	8	models	model	NOUN
jbi-22655	47	9	calibrated	calibrate	VERB
jbi-22655	47	10	over	over	ADP
jbi-22655	47	11	areas	area	NOUN
jbi-22655	47	12	of	of	ADP
jbi-22655	47	13	various	various	ADJ
jbi-22655	47	14	sizes	size	NOUN
jbi-22655	47	15	in	in	ADP
jbi-22655	47	16	terms	term	NOUN
jbi-22655	47	17	of	of	ADP
jbi-22655	47	18	functional	functional	ADJ
jbi-22655	47	19	and	and	CCONJ
jbi-22655	47	20	discrimination	discrimination	NOUN
jbi-22655	47	21	accuracy	accuracy	NOUN
jbi-22655	47	22	(	(	PUNCT
jbi-22655	47	23	warren	warren	PROPN
jbi-22655	47	24	et	et	PROPN
jbi-22655	47	25	al	al	PROPN
jbi-22655	47	26	.	.	PROPN
jbi-22655	47	27	2020	2020	NUM
jbi-22655	47	28	)	)	PUNCT
jbi-22655	47	29	;	;	PUNCT
jbi-22655	47	30	2	2	X
jbi-22655	47	31	)	)	PUNCT
jbi-22655	47	32	to	to	PART
jbi-22655	47	33	test	test	VERB
jbi-22655	47	34	whether	whether	SCONJ
jbi-22655	47	35	knowing	know	VERB
jbi-22655	47	36	the	the	DET
jbi-22655	47	37	accessible	accessible	ADJ
jbi-22655	47	38	area	area	NOUN
jbi-22655	47	39	to	to	ADP
jbi-22655	47	40	a	a	DET
jbi-22655	47	41	species	species	NOUN
jbi-22655	47	42	leads	lead	VERB
jbi-22655	47	43	to	to	ADP
jbi-22655	47	44	improved	improved	ADJ
jbi-22655	47	45	models	model	NOUN
jbi-22655	47	46	;	;	PUNCT
jbi-22655	47	47	and	and	CCONJ
jbi-22655	47	48	3	3	X
jbi-22655	47	49	)	)	PUNCT
jbi-22655	47	50	to	to	PART
jbi-22655	47	51	compare	compare	VERB
jbi-22655	47	52	the	the	DET
jbi-22655	47	53	relative	relative	ADJ
jbi-22655	47	54	contribution	contribution	NOUN
jbi-22655	47	55	of	of	ADP
jbi-22655	47	56	calibration	calibration	NOUN
jbi-22655	47	57	area	area	NOUN
jbi-22655	47	58	size	size	NOUN
jbi-22655	47	59	to	to	ADP
jbi-22655	47	60	model	model	PROPN
jbi-22655	47	61	luna	luna	PROPN
jbi-22655	47	62	et	et	PROPN
jbi-22655	47	63	al	al	PROPN
jbi-22655	47	64	.	.	PROPN
jbi-22655	47	65	–	–	PUNCT
jbi-22655	47	66	species	species	NOUN
jbi-22655	47	67	distribution	distribution	NOUN
jbi-22655	47	68	model	model	NOUN
jbi-22655	47	69	accuracy	accuracy	NOUN
jbi-22655	47	70	influenced	influence	VERB
jbi-22655	47	71	by	by	ADP
jbi-22655	47	72	calibration	calibration	NOUN
jbi-22655	47	73	area	area	NOUN
jbi-22655	47	74	45	45	NUM
jbi-22655	47	75	performance	performance	NOUN
jbi-22655	47	76	against	against	ADP
jbi-22655	47	77	other	other	ADJ
jbi-22655	47	78	factors	factor	NOUN
jbi-22655	47	79	such	such	ADJ
jbi-22655	47	80	as	as	ADP
jbi-22655	47	81	occurrence	occurrence	NOUN
jbi-22655	47	82	thinning	thinning	NOUN
jbi-22655	47	83	and	and	CCONJ
jbi-22655	47	84	collinearity	collinearity	NOUN
jbi-22655	47	85	.	.	PUNCT
jbi-22655	48	1	by	by	ADP
jbi-22655	48	2	using	use	VERB
jbi-22655	48	3	virtual	virtual	ADJ
jbi-22655	48	4	species	specie	NOUN
jbi-22655	48	5	with	with	ADP
jbi-22655	48	6	known	know	VERB
jbi-22655	48	7	environmental	environmental	ADJ
jbi-22655	48	8	responses	response	NOUN
jbi-22655	48	9	and	and	CCONJ
jbi-22655	48	10	probabilities	probability	NOUN
jbi-22655	48	11	of	of	ADP
jbi-22655	48	12	occurrence	occurrence	NOUN
jbi-22655	48	13	,	,	PUNCT
jbi-22655	48	14	this	this	DET
jbi-22655	48	15	study	study	NOUN
jbi-22655	48	16	provides	provide	VERB
jbi-22655	48	17	insights	insight	NOUN
jbi-22655	48	18	into	into	ADP
jbi-22655	48	19	how	how	SCONJ
jbi-22655	48	20	several	several	ADJ
jbi-22655	48	21	factors	factor	NOUN
jbi-22655	48	22	influence	influence	VERB
jbi-22655	48	23	sdm	sdm	NOUN
jbi-22655	48	24	accuracy	accuracy	NOUN
jbi-22655	48	25	and	and	CCONJ
jbi-22655	48	26	highlights	highlight	NOUN
jbi-22655	48	27	the	the	DET
jbi-22655	48	28	importance	importance	NOUN
jbi-22655	48	29	of	of	ADP
jbi-22655	48	30	careful	careful	ADJ
jbi-22655	48	31	calibration	calibration	NOUN
jbi-22655	48	32	area	area	NOUN
jbi-22655	48	33	selection	selection	NOUN
jbi-22655	48	34	.	.	PUNCT
jbi-22655	49	1	methods	method	NOUN
jbi-22655	49	2	virtual	virtual	ADJ
jbi-22655	49	3	species	species	NOUN
jbi-22655	49	4	simulations	simulation	NOUN
jbi-22655	49	5	we	we	PRON
jbi-22655	49	6	simulated	simulate	VERB
jbi-22655	49	7	100	100	NUM
jbi-22655	49	8	virtual	virtual	ADJ
jbi-22655	49	9	species	specie	NOUN
jbi-22655	49	10	using	use	VERB
jbi-22655	49	11	the	the	DET
jbi-22655	49	12	virtualspecies	virtualspecie	NOUN
jbi-22655	49	13	r	r	NOUN
jbi-22655	49	14	package	package	NOUN
jbi-22655	49	15	(	(	PUNCT
jbi-22655	49	16	leroy	leroy	PROPN
jbi-22655	49	17	et	et	PROPN
jbi-22655	49	18	al	al	PROPN
jbi-22655	49	19	.	.	PROPN
jbi-22655	49	20	2016	2016	NUM
jbi-22655	49	21	)	)	PUNCT
jbi-22655	49	22	and	and	CCONJ
jbi-22655	49	23	the	the	DET
jbi-22655	49	24	19	19	NUM
jbi-22655	49	25	bioclimatic	bioclimatic	NOUN
jbi-22655	49	26	variables	variable	NOUN
jbi-22655	49	27	from	from	ADP
jbi-22655	49	28	worldclim	worldclim	NUM
jbi-22655	49	29	2.0	2.0	NUM
jbi-22655	49	30	(	(	PUNCT
jbi-22655	49	31	fick	fick	NOUN
jbi-22655	49	32	and	and	CCONJ
jbi-22655	49	33	hijmans	hijman	NOUN
jbi-22655	49	34	2017	2017	NUM
jbi-22655	49	35	)	)	PUNCT
jbi-22655	49	36	.	.	PUNCT
jbi-22655	50	1	these	these	DET
jbi-22655	50	2	variables	variable	NOUN
jbi-22655	50	3	encompass	encompass	VERB
jbi-22655	50	4	critical	critical	ADJ
jbi-22655	50	5	climatic	climatic	ADJ
jbi-22655	50	6	factors	factor	NOUN
jbi-22655	50	7	influencing	influence	VERB
jbi-22655	50	8	species	species	NOUN
jbi-22655	50	9	distributions	distribution	NOUN
jbi-22655	50	10	and	and	CCONJ
jbi-22655	50	11	are	be	AUX
jbi-22655	50	12	widely	widely	ADV
jbi-22655	50	13	utilized	utilize	VERB
jbi-22655	50	14	in	in	ADP
jbi-22655	50	15	sdm	sdm	NOUN
jbi-22655	50	16	studies	study	NOUN
jbi-22655	50	17	.	.	PUNCT
jbi-22655	51	1	we	we	PRON
jbi-22655	51	2	used	use	VERB
jbi-22655	51	3	a	a	DET
jbi-22655	51	4	resolution	resolution	NOUN
jbi-22655	51	5	of	of	ADP
jbi-22655	51	6	2.5	2.5	NUM
jbi-22655	51	7	arc	arc	NOUN
jbi-22655	51	8	-	-	PUNCT
jbi-22655	51	9	minutes	minute	NOUN
jbi-22655	51	10	to	to	PART
jbi-22655	51	11	simulate	simulate	VERB
jbi-22655	51	12	the	the	DET
jbi-22655	51	13	species	specie	NOUN
jbi-22655	51	14	’	'	PUNCT
jbi-22655	51	15	niches	niche	NOUN
jbi-22655	51	16	,	,	PUNCT
jbi-22655	51	17	as	as	SCONJ
jbi-22655	51	18	this	this	DET
jbi-22655	51	19	resolution	resolution	NOUN
jbi-22655	51	20	provides	provide	VERB
jbi-22655	51	21	a	a	DET
jbi-22655	51	22	balance	balance	NOUN
jbi-22655	51	23	between	between	ADP
jbi-22655	51	24	spatial	spatial	ADJ
jbi-22655	51	25	detail	detail	NOUN
jbi-22655	51	26	and	and	CCONJ
jbi-22655	51	27	computational	computational	ADJ
jbi-22655	51	28	efficiency	efficiency	NOUN
jbi-22655	51	29	.	.	PUNCT
jbi-22655	52	1	the	the	DET
jbi-22655	52	2	region	region	NOUN
jbi-22655	52	3	considered	consider	VERB
jbi-22655	52	4	was	be	AUX
jbi-22655	52	5	restricted	restrict	VERB
jbi-22655	52	6	to	to	ADP
jbi-22655	52	7	the	the	DET
jbi-22655	52	8	american	american	ADJ
jbi-22655	52	9	continent	continent	PROPN
jbi-22655	52	10	due	due	ADP
jbi-22655	52	11	to	to	ADP
jbi-22655	52	12	its	its	PRON
jbi-22655	52	13	broad	broad	ADJ
jbi-22655	52	14	range	range	NOUN
jbi-22655	52	15	of	of	ADP
jbi-22655	52	16	habitats	habitat	NOUN
jbi-22655	52	17	and	and	CCONJ
jbi-22655	52	18	climatic	climatic	ADJ
jbi-22655	52	19	conditions	condition	NOUN
jbi-22655	52	20	.	.	PUNCT
jbi-22655	53	1	we	we	PRON
jbi-22655	53	2	chose	choose	VERB
jbi-22655	53	3	to	to	PART
jbi-22655	53	4	include	include	VERB
jbi-22655	53	5	variables	variable	NOUN
jbi-22655	53	6	that	that	PRON
jbi-22655	53	7	combine	combine	VERB
jbi-22655	53	8	precipitation	precipitation	NOUN
jbi-22655	53	9	and	and	CCONJ
jbi-22655	53	10	temperature	temperature	NOUN
jbi-22655	53	11	,	,	PUNCT
jbi-22655	53	12	despite	despite	SCONJ
jbi-22655	53	13	a	a	DET
jbi-22655	53	14	recent	recent	ADJ
jbi-22655	53	15	trend	trend	NOUN
jbi-22655	53	16	of	of	ADP
jbi-22655	53	17	excluding	exclude	VERB
jbi-22655	53	18	them	they	PRON
jbi-22655	53	19	from	from	ADP
jbi-22655	53	20	sdm	sdm	PROPN
jbi-22655	53	21	studies	study	NOUN
jbi-22655	53	22	(	(	PUNCT
jbi-22655	53	23	booth	booth	NOUN
jbi-22655	53	24	2022	2022	NUM
jbi-22655	53	25	)	)	PUNCT
jbi-22655	53	26	.	.	PUNCT
jbi-22655	54	1	these	these	DET
jbi-22655	54	2	variables	variable	NOUN
jbi-22655	54	3	have	have	AUX
jbi-22655	54	4	been	be	AUX
jbi-22655	54	5	demonstrated	demonstrate	VERB
jbi-22655	54	6	to	to	AUX
jbi-22655	54	7	significantly	significantly	ADV
jbi-22655	54	8	influence	influence	VERB
jbi-22655	54	9	species	species	NOUN
jbi-22655	54	10	distributions	distribution	NOUN
jbi-22655	54	11	.	.	PUNCT
jbi-22655	55	1	for	for	ADP
jbi-22655	55	2	instance	instance	NOUN
jbi-22655	55	3	,	,	PUNCT
jbi-22655	55	4	precipitation	precipitation	NOUN
jbi-22655	55	5	during	during	ADP
jbi-22655	55	6	the	the	DET
jbi-22655	55	7	wettest	wet	ADJ
jbi-22655	55	8	and	and	CCONJ
jbi-22655	55	9	driest	dry	ADJ
jbi-22655	55	10	months	month	NOUN
jbi-22655	55	11	are	be	AUX
jbi-22655	55	12	key	key	ADJ
jbi-22655	55	13	factors	factor	NOUN
jbi-22655	55	14	shaping	shape	VERB
jbi-22655	55	15	global	global	ADJ
jbi-22655	55	16	plant	plant	NOUN
jbi-22655	55	17	distributions	distribution	NOUN
jbi-22655	55	18	(	(	PUNCT
jbi-22655	55	19	huang	huang	PROPN
jbi-22655	55	20	et	et	PROPN
jbi-22655	55	21	al	al	PROPN
jbi-22655	55	22	.	.	PROPN
jbi-22655	55	23	2021	2021	NUM
jbi-22655	55	24	)	)	PUNCT
jbi-22655	55	25	,	,	PUNCT
jbi-22655	55	26	while	while	SCONJ
jbi-22655	55	27	the	the	DET
jbi-22655	55	28	mean	mean	ADJ
jbi-22655	55	29	temperature	temperature	NOUN
jbi-22655	55	30	of	of	ADP
jbi-22655	55	31	the	the	DET
jbi-22655	55	32	driest	dry	ADJ
jbi-22655	55	33	quarter	quarter	NOUN
jbi-22655	55	34	has	have	AUX
jbi-22655	55	35	been	be	AUX
jbi-22655	55	36	identified	identify	VERB
jbi-22655	55	37	as	as	ADP
jbi-22655	55	38	the	the	DET
jbi-22655	55	39	most	most	ADV
jbi-22655	55	40	influential	influential	ADJ
jbi-22655	55	41	variable	variable	NOUN
jbi-22655	55	42	in	in	ADP
jbi-22655	55	43	explaining	explain	VERB
jbi-22655	55	44	continental	continental	ADJ
jbi-22655	55	45	fish	fish	NOUN
jbi-22655	55	46	distributions	distribution	NOUN
jbi-22655	55	47	(	(	PUNCT
jbi-22655	55	48	castillo	castillo	PROPN
jbi-22655	55	49	-	-	PUNCT
jbi-22655	55	50	torres	torres	PROPN
jbi-22655	55	51	et	et	PROPN
jbi-22655	55	52	al	al	PROPN
jbi-22655	55	53	.	.	PROPN
jbi-22655	55	54	2017	2017	NUM
jbi-22655	55	55	)	)	PUNCT
jbi-22655	55	56	.	.	PUNCT
jbi-22655	56	1	the	the	DET
jbi-22655	56	2	ecological	ecological	ADJ
jbi-22655	56	3	niche	niche	NOUN
jbi-22655	56	4	concept	concept	NOUN
jbi-22655	56	5	is	be	AUX
jbi-22655	56	6	based	base	VERB
jbi-22655	56	7	on	on	ADP
jbi-22655	56	8	the	the	DET
jbi-22655	56	9	principle	principle	NOUN
jbi-22655	56	10	that	that	SCONJ
jbi-22655	56	11	each	each	DET
jbi-22655	56	12	species	specie	NOUN
jbi-22655	56	13	has	have	AUX
jbi-22655	56	14	an	an	DET
jbi-22655	56	15	optimal	optimal	ADJ
jbi-22655	56	16	set	set	NOUN
jbi-22655	56	17	of	of	ADP
jbi-22655	56	18	environmental	environmental	ADJ
jbi-22655	56	19	conditions	condition	NOUN
jbi-22655	56	20	where	where	SCONJ
jbi-22655	56	21	it	it	PRON
jbi-22655	56	22	can	can	AUX
jbi-22655	56	23	survive	survive	VERB
jbi-22655	56	24	,	,	PUNCT
jbi-22655	56	25	grow	grow	VERB
jbi-22655	56	26	,	,	PUNCT
jbi-22655	56	27	and	and	CCONJ
jbi-22655	56	28	reproduce	reproduce	NOUN
jbi-22655	56	29	(	(	PUNCT
jbi-22655	56	30	peterson	peterson	NOUN
jbi-22655	56	31	and	and	CCONJ
jbi-22655	56	32	soberon	soberon	NOUN
jbi-22655	56	33	,	,	PUNCT
jbi-22655	56	34	2012	2012	NUM
jbi-22655	56	35	)	)	PUNCT
jbi-22655	56	36	.	.	PUNCT
jbi-22655	57	1	to	to	PART
jbi-22655	57	2	define	define	VERB
jbi-22655	57	3	each	each	DET
jbi-22655	57	4	species	specie	NOUN
jbi-22655	57	5	’	'	PUNCT
jbi-22655	57	6	environmental	environmental	ADJ
jbi-22655	57	7	preferences	preference	NOUN
jbi-22655	57	8	,	,	PUNCT
jbi-22655	57	9	two	two	NUM
jbi-22655	57	10	to	to	PART
jbi-22655	57	11	five	five	NUM
jbi-22655	57	12	of	of	ADP
jbi-22655	57	13	the	the	DET
jbi-22655	57	14	19	19	NUM
jbi-22655	57	15	bioclimatic	bioclimatic	NOUN
jbi-22655	57	16	variables	variable	NOUN
jbi-22655	57	17	were	be	AUX
jbi-22655	57	18	randomly	randomly	ADV
jbi-22655	57	19	selected	select	VERB
jbi-22655	57	20	and	and	CCONJ
jbi-22655	57	21	then	then	ADV
jbi-22655	57	22	subjected	subject	VERB
jbi-22655	57	23	to	to	ADP
jbi-22655	57	24	a	a	DET
jbi-22655	57	25	principal	principal	ADJ
jbi-22655	57	26	component	component	NOUN
jbi-22655	57	27	analysis	analysis	NOUN
jbi-22655	57	28	(	(	PUNCT
jbi-22655	57	29	pca	pca	NOUN
jbi-22655	57	30	)	)	PUNCT
jbi-22655	57	31	using	use	VERB
jbi-22655	57	32	singular	singular	ADJ
jbi-22655	57	33	value	value	NOUN
jbi-22655	57	34	decomposition	decomposition	NOUN
jbi-22655	57	35	,	,	PUNCT
jbi-22655	57	36	and	and	CCONJ
jbi-22655	57	37	the	the	DET
jbi-22655	57	38	two	two	NUM
jbi-22655	57	39	principal	principal	ADJ
jbi-22655	57	40	components	component	NOUN
jbi-22655	57	41	derived	derive	VERB
jbi-22655	57	42	were	be	AUX
jbi-22655	57	43	used	use	VERB
jbi-22655	57	44	to	to	PART
jbi-22655	57	45	define	define	VERB
jbi-22655	57	46	the	the	DET
jbi-22655	57	47	species	specie	NOUN
jbi-22655	57	48	niche	niche	NOUN
jbi-22655	57	49	.	.	PUNCT
jbi-22655	58	1	different	different	ADJ
jbi-22655	58	2	species	specie	NOUN
jbi-22655	58	3	are	be	AUX
jbi-22655	58	4	influenced	influence	VERB
jbi-22655	58	5	by	by	ADP
jbi-22655	58	6	different	different	ADJ
jbi-22655	58	7	environmental	environmental	ADJ
jbi-22655	58	8	factors	factor	NOUN
jbi-22655	58	9	(	(	PUNCT
jbi-22655	58	10	huang	huang	PROPN
jbi-22655	58	11	et	et	PROPN
jbi-22655	58	12	al	al	PROPN
jbi-22655	58	13	.	.	PROPN
jbi-22655	58	14	2021	2021	NUM
jbi-22655	58	15	)	)	PUNCT
jbi-22655	58	16	,	,	PUNCT
jbi-22655	58	17	and	and	CCONJ
jbi-22655	58	18	the	the	DET
jbi-22655	58	19	primary	primary	ADJ
jbi-22655	58	20	drivers	driver	NOUN
jbi-22655	58	21	of	of	ADP
jbi-22655	58	22	their	their	PRON
jbi-22655	58	23	distributions	distribution	NOUN
jbi-22655	58	24	can	can	AUX
jbi-22655	58	25	differ	differ	VERB
jbi-22655	58	26	significantly	significantly	ADV
jbi-22655	58	27	.	.	PUNCT
jbi-22655	59	1	randomly	randomly	ADV
jbi-22655	59	2	selecting	select	VERB
jbi-22655	59	3	2	2	NUM
jbi-22655	59	4	to	to	PART
jbi-22655	59	5	5	5	NUM
jbi-22655	59	6	variables	variable	NOUN
jbi-22655	59	7	helps	help	VERB
jbi-22655	59	8	simulate	simulate	VERB
jbi-22655	59	9	this	this	DET
jbi-22655	59	10	variability	variability	NOUN
jbi-22655	59	11	.	.	PUNCT
jbi-22655	60	1	for	for	ADP
jbi-22655	60	2	the	the	DET
jbi-22655	60	3	first	first	ADJ
jbi-22655	60	4	two	two	NUM
jbi-22655	60	5	principal	principal	ADJ
jbi-22655	60	6	components	component	NOUN
jbi-22655	60	7	,	,	PUNCT
jbi-22655	60	8	a	a	DET
jbi-22655	60	9	gaussian	gaussian	ADJ
jbi-22655	60	10	response	response	NOUN
jbi-22655	60	11	curve	curve	NOUN
jbi-22655	60	12	was	be	AUX
jbi-22655	60	13	defined	define	VERB
jbi-22655	60	14	,	,	PUNCT
jbi-22655	60	15	with	with	ADP
jbi-22655	60	16	randomly	randomly	ADV
jbi-22655	60	17	selected	select	VERB
jbi-22655	60	18	values	value	NOUN
jbi-22655	60	19	for	for	ADP
jbi-22655	60	20	the	the	DET
jbi-22655	60	21	mean	mean	NOUN
jbi-22655	60	22	(	(	PUNCT
jbi-22655	60	23	representing	represent	VERB
jbi-22655	60	24	the	the	DET
jbi-22655	60	25	most	most	ADV
jbi-22655	60	26	suitable	suitable	ADJ
jbi-22655	60	27	values	value	NOUN
jbi-22655	60	28	for	for	ADP
jbi-22655	60	29	the	the	DET
jbi-22655	60	30	species	specie	NOUN
jbi-22655	60	31	)	)	PUNCT
jbi-22655	60	32	and	and	CCONJ
jbi-22655	60	33	the	the	DET
jbi-22655	60	34	standard	standard	ADJ
jbi-22655	60	35	deviation	deviation	NOUN
jbi-22655	60	36	(	(	PUNCT
jbi-22655	60	37	indicating	indicate	VERB
jbi-22655	60	38	the	the	DET
jbi-22655	60	39	niche	niche	NOUN
jbi-22655	60	40	breadth	breadth	NOUN
jbi-22655	60	41	,	,	PUNCT
jbi-22655	60	42	or	or	CCONJ
jbi-22655	60	43	physiological	physiological	ADJ
jbi-22655	60	44	tolerance	tolerance	NOUN
jbi-22655	60	45	of	of	ADP
jbi-22655	60	46	the	the	DET
jbi-22655	60	47	species	specie	NOUN
jbi-22655	60	48	)	)	PUNCT
jbi-22655	60	49	.	.	PUNCT
jbi-22655	61	1	the	the	DET
jbi-22655	61	2	initial	initial	ADJ
jbi-22655	61	3	suitability	suitability	NOUN
jbi-22655	61	4	function	function	NOUN
jbi-22655	61	5	,	,	PUNCT
jbi-22655	61	6	which	which	PRON
jbi-22655	61	7	describes	describe	VERB
jbi-22655	61	8	the	the	DET
jbi-22655	61	9	species	specie	NOUN
jbi-22655	61	10	–	–	PUNCT
jbi-22655	61	11	environment	environment	NOUN
jbi-22655	61	12	relationship	relationship	NOUN
jbi-22655	61	13	and	and	CCONJ
jbi-22655	61	14	can	can	AUX
jbi-22655	61	15	have	have	VERB
jbi-22655	61	16	any	any	DET
jbi-22655	61	17	range	range	NOUN
jbi-22655	61	18	of	of	ADP
jbi-22655	61	19	values	value	NOUN
jbi-22655	61	20	,	,	PUNCT
jbi-22655	61	21	was	be	AUX
jbi-22655	61	22	converted	convert	VERB
jbi-22655	61	23	to	to	ADP
jbi-22655	61	24	an	an	DET
jbi-22655	61	25	occurrence	occurrence	NOUN
jbi-22655	61	26	probability	probability	NOUN
jbi-22655	61	27	with	with	ADP
jbi-22655	61	28	a	a	DET
jbi-22655	61	29	logistic	logistic	ADJ
jbi-22655	61	30	function	function	NOUN
jbi-22655	61	31	.	.	PUNCT
jbi-22655	62	1	after	after	ADP
jbi-22655	62	2	this	this	DET
jbi-22655	62	3	transformation	transformation	NOUN
jbi-22655	62	4	,	,	PUNCT
jbi-22655	62	5	the	the	DET
jbi-22655	62	6	probability	probability	NOUN
jbi-22655	62	7	of	of	ADP
jbi-22655	62	8	occurrence	occurrence	NOUN
jbi-22655	62	9	is	be	AUX
jbi-22655	62	10	bounded	bound	VERB
jbi-22655	62	11	between	between	ADP
jbi-22655	62	12	0	0	NUM
jbi-22655	62	13	and	and	CCONJ
jbi-22655	62	14	1	1	NUM
jbi-22655	62	15	(	(	PUNCT
jbi-22655	62	16	i.e.	i.e.	X
jbi-22655	62	17	,	,	PUNCT
jbi-22655	62	18	the	the	DET
jbi-22655	62	19	likelihood	likelihood	NOUN
jbi-22655	62	20	that	that	SCONJ
jbi-22655	62	21	the	the	DET
jbi-22655	62	22	species	specie	NOUN
jbi-22655	62	23	is	be	AUX
jbi-22655	62	24	present	present	ADJ
jbi-22655	62	25	at	at	ADP
jbi-22655	62	26	a	a	DET
jbi-22655	62	27	site	site	NOUN
jbi-22655	62	28	given	give	VERB
jbi-22655	62	29	the	the	DET
jbi-22655	62	30	specific	specific	ADJ
jbi-22655	62	31	set	set	NOUN
jbi-22655	62	32	of	of	ADP
jbi-22655	62	33	environmental	environmental	ADJ
jbi-22655	62	34	conditions	condition	NOUN
jbi-22655	62	35	on	on	ADP
jbi-22655	62	36	that	that	DET
jbi-22655	62	37	site	site	NOUN
jbi-22655	62	38	)	)	PUNCT
jbi-22655	62	39	.	.	PUNCT
jbi-22655	63	1	specifically	specifically	ADV
jbi-22655	63	2	,	,	PUNCT
jbi-22655	63	3	we	we	PRON
jbi-22655	63	4	used	use	VERB
jbi-22655	63	5	a	a	DET
jbi-22655	63	6	logistic	logistic	ADJ
jbi-22655	63	7	transformation	transformation	NOUN
jbi-22655	63	8	with	with	ADP
jbi-22655	63	9	β	β	X
jbi-22655	63	10	(	(	PUNCT
jbi-22655	63	11	inflexion	inflexion	NOUN
jbi-22655	63	12	point	point	NOUN
jbi-22655	63	13	)	)	PUNCT
jbi-22655	63	14	fixed	fix	VERB
jbi-22655	63	15	at	at	ADP
jbi-22655	63	16	0.5	0.5	NUM
jbi-22655	63	17	and	and	CCONJ
jbi-22655	63	18	α	α	NOUN
jbi-22655	63	19	(	(	PUNCT
jbi-22655	63	20	steepness	steepness	NOUN
jbi-22655	63	21	of	of	ADP
jbi-22655	63	22	the	the	DET
jbi-22655	63	23	slope	slope	NOUN
jbi-22655	63	24	)	)	PUNCT
jbi-22655	63	25	randomly	randomly	ADV
jbi-22655	63	26	selected	select	VERB
jbi-22655	63	27	.	.	PUNCT
jbi-22655	64	1	this	this	DET
jbi-22655	64	2	method	method	NOUN
jbi-22655	64	3	serves	serve	VERB
jbi-22655	64	4	as	as	ADP
jbi-22655	64	5	an	an	DET
jbi-22655	64	6	equivalent	equivalent	NOUN
jbi-22655	64	7	to	to	ADP
jbi-22655	64	8	applying	apply	VERB
jbi-22655	64	9	thresholds	threshold	NOUN
jbi-22655	64	10	but	but	CCONJ
jbi-22655	64	11	offers	offer	VERB
jbi-22655	64	12	a	a	DET
jbi-22655	64	13	more	more	ADV
jbi-22655	64	14	ecologically	ecologically	ADV
jbi-22655	64	15	realistic	realistic	ADJ
jbi-22655	64	16	representation	representation	NOUN
jbi-22655	64	17	by	by	ADP
jbi-22655	64	18	smoothing	smooth	VERB
jbi-22655	64	19	the	the	DET
jbi-22655	64	20	transition	transition	NOUN
jbi-22655	64	21	between	between	ADP
jbi-22655	64	22	suitable	suitable	ADJ
jbi-22655	64	23	and	and	CCONJ
jbi-22655	64	24	unsuitable	unsuitable	ADJ
jbi-22655	64	25	conditions	condition	NOUN
jbi-22655	64	26	and	and	CCONJ
jbi-22655	64	27	simulating	simulate	VERB
jbi-22655	64	28	stochastic	stochastic	ADJ
jbi-22655	64	29	processes	process	NOUN
jbi-22655	64	30	acting	act	VERB
jbi-22655	64	31	on	on	ADP
jbi-22655	64	32	species	species	NOUN
jbi-22655	64	33	occurrences	occurrence	NOUN
jbi-22655	64	34	(	(	PUNCT
jbi-22655	64	35	leroy	leroy	PROPN
jbi-22655	64	36	et	et	PROPN
jbi-22655	64	37	al	al	PROPN
jbi-22655	64	38	.	.	PROPN
jbi-22655	64	39	2016	2016	NUM
jbi-22655	64	40	;	;	PUNCT
jbi-22655	64	41	meynard	meynard	NOUN
jbi-22655	64	42	et	et	PROPN
jbi-22655	64	43	al	al	PROPN
jbi-22655	64	44	.	.	PROPN
jbi-22655	64	45	2019	2019	NUM
jbi-22655	64	46	)	)	PUNCT
jbi-22655	64	47	.	.	PUNCT
jbi-22655	65	1	the	the	DET
jbi-22655	65	2	magnitude	magnitude	NOUN
jbi-22655	65	3	of	of	ADP
jbi-22655	65	4	the	the	DET
jbi-22655	65	5	spatial	spatial	ADJ
jbi-22655	65	6	sampling	sampling	NOUN
jbi-22655	65	7	bias	bias	NOUN
jbi-22655	65	8	was	be	AUX
jbi-22655	65	9	simulated	simulate	VERB
jbi-22655	65	10	using	use	VERB
jbi-22655	65	11	the	the	DET
jbi-22655	65	12	human	human	ADJ
jbi-22655	65	13	influence	influence	NOUN
jbi-22655	65	14	index	index	NOUN
jbi-22655	65	15	dataset	dataset	NOUN
jbi-22655	65	16	(	(	PUNCT
jbi-22655	65	17	wcs	wcs	PROPN
jbi-22655	65	18	and	and	CCONJ
jbi-22655	65	19	ciesin	ciesin	NOUN
jbi-22655	65	20	,	,	PUNCT
jbi-22655	65	21	2005	2005	NUM
jbi-22655	65	22	)	)	PUNCT
jbi-22655	65	23	,	,	PUNCT
jbi-22655	65	24	representing	represent	VERB
jbi-22655	65	25	the	the	DET
jbi-22655	65	26	likelihood	likelihood	NOUN
jbi-22655	65	27	of	of	ADP
jbi-22655	65	28	selection	selection	NOUN
jbi-22655	65	29	per	per	ADP
jbi-22655	65	30	cell	cell	NOUN
jbi-22655	65	31	.	.	PUNCT
jbi-22655	66	1	these	these	DET
jbi-22655	66	2	values	value	NOUN
jbi-22655	66	3	were	be	AUX
jbi-22655	66	4	divided	divide	VERB
jbi-22655	66	5	by	by	ADP
jbi-22655	66	6	the	the	DET
jbi-22655	66	7	maximum	maximum	ADJ
jbi-22655	66	8	value	value	NOUN
jbi-22655	66	9	,	,	PUNCT
jbi-22655	66	10	resulting	result	VERB
jbi-22655	66	11	in	in	ADP
jbi-22655	66	12	a	a	DET
jbi-22655	66	13	sampling	sample	VERB
jbi-22655	66	14	bias	bias	NOUN
jbi-22655	66	15	range	range	VERB
jbi-22655	66	16	between	between	ADP
jbi-22655	66	17	0	0	NUM
jbi-22655	66	18	and	and	CCONJ
jbi-22655	66	19	1	1	NUM
jbi-22655	66	20	.	.	PUNCT
jbi-22655	67	1	an	an	DET
jbi-22655	67	2	essential	essential	ADJ
jbi-22655	67	3	aspect	aspect	NOUN
jbi-22655	67	4	,	,	PUNCT
jbi-22655	67	5	according	accord	VERB
jbi-22655	67	6	to	to	ADP
jbi-22655	67	7	niche	niche	NOUN
jbi-22655	67	8	theory	theory	NOUN
jbi-22655	67	9	,	,	PUNCT
jbi-22655	67	10	is	be	AUX
jbi-22655	67	11	the	the	DET
jbi-22655	67	12	distinction	distinction	NOUN
jbi-22655	67	13	between	between	ADP
jbi-22655	67	14	the	the	DET
jbi-22655	67	15	fundamental	fundamental	ADJ
jbi-22655	67	16	,	,	PUNCT
jbi-22655	67	17	potential	potential	ADJ
jbi-22655	67	18	,	,	PUNCT
jbi-22655	67	19	and	and	CCONJ
jbi-22655	67	20	realized	realize	VERB
jbi-22655	67	21	niches	niche	NOUN
jbi-22655	67	22	.	.	PUNCT
jbi-22655	68	1	the	the	DET
jbi-22655	68	2	fundamental	fundamental	ADJ
jbi-22655	68	3	niche	niche	NOUN
jbi-22655	68	4	represents	represent	VERB
jbi-22655	68	5	the	the	DET
jbi-22655	68	6	full	full	ADJ
jbi-22655	68	7	range	range	NOUN
jbi-22655	68	8	of	of	ADP
jbi-22655	68	9	environmental	environmental	ADJ
jbi-22655	68	10	conditions	condition	NOUN
jbi-22655	68	11	under	under	ADP
jbi-22655	68	12	which	which	PRON
jbi-22655	68	13	a	a	DET
jbi-22655	68	14	species	specie	NOUN
jbi-22655	68	15	can	can	AUX
jbi-22655	68	16	survive	survive	VERB
jbi-22655	68	17	and	and	CCONJ
jbi-22655	68	18	reproduce	reproduce	VERB
jbi-22655	68	19	,	,	PUNCT
jbi-22655	68	20	while	while	SCONJ
jbi-22655	68	21	the	the	DET
jbi-22655	68	22	potential	potential	ADJ
jbi-22655	68	23	niche	niche	NOUN
jbi-22655	68	24	corresponds	correspond	VERB
jbi-22655	68	25	to	to	ADP
jbi-22655	68	26	the	the	DET
jbi-22655	68	27	subset	subset	NOUN
jbi-22655	68	28	of	of	ADP
jbi-22655	68	29	those	those	DET
jbi-22655	68	30	conditions	condition	NOUN
jbi-22655	68	31	that	that	PRON
jbi-22655	68	32	actually	actually	ADV
jbi-22655	68	33	exists	exist	VERB
jbi-22655	68	34	at	at	ADP
jbi-22655	68	35	a	a	DET
jbi-22655	68	36	given	give	VERB
jbi-22655	68	37	time	time	NOUN
jbi-22655	68	38	(	(	PUNCT
jbi-22655	68	39	jackson	jackson	PROPN
jbi-22655	68	40	and	and	CCONJ
jbi-22655	68	41	overpeck	overpeck	NOUN
jbi-22655	68	42	,	,	PUNCT
jbi-22655	68	43	2000	2000	NUM
jbi-22655	68	44	)	)	PUNCT
jbi-22655	68	45	.	.	PUNCT
jbi-22655	69	1	the	the	DET
jbi-22655	69	2	potential	potential	ADJ
jbi-22655	69	3	niche	niche	NOUN
jbi-22655	69	4	includes	include	VERB
jbi-22655	69	5	areas	area	NOUN
jbi-22655	69	6	that	that	PRON
jbi-22655	69	7	are	be	AUX
jbi-22655	69	8	environmentally	environmentally	ADV
jbi-22655	69	9	suitable	suitable	ADJ
jbi-22655	69	10	but	but	CCONJ
jbi-22655	69	11	may	may	AUX
jbi-22655	69	12	not	not	PART
jbi-22655	69	13	be	be	AUX
jbi-22655	69	14	occupied	occupy	VERB
jbi-22655	69	15	by	by	ADP
jbi-22655	69	16	the	the	DET
jbi-22655	69	17	species	specie	NOUN
jbi-22655	69	18	due	due	ADJ
jbi-22655	69	19	to	to	ADP
jbi-22655	69	20	additional	additional	ADJ
jbi-22655	69	21	factors	factor	NOUN
jbi-22655	69	22	such	such	ADJ
jbi-22655	69	23	as	as	ADP
jbi-22655	69	24	dispersal	dispersal	NOUN
jbi-22655	69	25	constraints	constraint	NOUN
jbi-22655	69	26	and/or	and/or	CCONJ
jbi-22655	69	27	the	the	DET
jbi-22655	69	28	influence	influence	NOUN
jbi-22655	69	29	of	of	ADP
jbi-22655	69	30	biological	biological	ADJ
jbi-22655	69	31	interactions	interaction	NOUN
jbi-22655	69	32	(	(	PUNCT
jbi-22655	69	33	barve	barve	VERB
jbi-22655	69	34	et	et	PROPN
jbi-22655	69	35	al	al	PROPN
jbi-22655	69	36	.	.	PROPN
jbi-22655	69	37	2011	2011	NUM
jbi-22655	69	38	;	;	PUNCT
jbi-22655	69	39	soberón	soberón	NOUN
jbi-22655	69	40	and	and	CCONJ
jbi-22655	69	41	nakamura	nakamura	NOUN
jbi-22655	69	42	,	,	PUNCT
jbi-22655	69	43	2009	2009	NUM
jbi-22655	69	44	)	)	PUNCT
jbi-22655	69	45	.	.	PUNCT
jbi-22655	70	1	the	the	DET
jbi-22655	70	2	realized	realize	VERB
jbi-22655	70	3	niche	niche	NOUN
jbi-22655	70	4	is	be	AUX
jbi-22655	70	5	a	a	DET
jbi-22655	70	6	subset	subset	NOUN
jbi-22655	70	7	of	of	ADP
jbi-22655	70	8	the	the	DET
jbi-22655	70	9	potential	potential	ADJ
jbi-22655	70	10	niche	niche	NOUN
jbi-22655	70	11	after	after	ADP
jbi-22655	70	12	considering	consider	VERB
jbi-22655	70	13	these	these	DET
jbi-22655	70	14	factors	factor	NOUN
jbi-22655	70	15	(	(	PUNCT
jbi-22655	70	16	jiménez	jiménez	NOUN
jbi-22655	70	17	and	and	CCONJ
jbi-22655	70	18	soberón	soberón	PROPN
jbi-22655	70	19	2022	2022	NUM
jbi-22655	70	20	;	;	PUNCT
jbi-22655	70	21	soberón	soberón	NOUN
jbi-22655	70	22	and	and	CCONJ
jbi-22655	70	23	arroyo	arroyo	NOUN
jbi-22655	70	24	-	-	PUNCT
jbi-22655	70	25	peña	peña	PROPN
jbi-22655	70	26	2017	2017	NUM
jbi-22655	70	27	)	)	PUNCT
jbi-22655	70	28	.	.	PUNCT
jbi-22655	71	1	dispersal	dispersal	NOUN
jbi-22655	71	2	capability	capability	NOUN
jbi-22655	71	3	,	,	PUNCT
jbi-22655	71	4	in	in	ADP
jbi-22655	71	5	particular	particular	ADJ
jbi-22655	71	6	,	,	PUNCT
jbi-22655	71	7	can	can	AUX
jbi-22655	71	8	limit	limit	VERB
jbi-22655	71	9	a	a	DET
jbi-22655	71	10	species	specie	NOUN
jbi-22655	71	11	’	'	PUNCT
jbi-22655	71	12	ability	ability	NOUN
jbi-22655	71	13	to	to	PART
jbi-22655	71	14	explore	explore	VERB
jbi-22655	71	15	favorable	favorable	ADJ
jbi-22655	71	16	regions	region	NOUN
jbi-22655	71	17	.	.	PUNCT
jbi-22655	72	1	to	to	PART
jbi-22655	72	2	account	account	VERB
jbi-22655	72	3	for	for	ADP
jbi-22655	72	4	this	this	PRON
jbi-22655	72	5	,	,	PUNCT
jbi-22655	72	6	we	we	PRON
jbi-22655	72	7	defined	define	VERB
jbi-22655	72	8	the	the	DET
jbi-22655	72	9	accessible	accessible	ADJ
jbi-22655	72	10	area	area	NOUN
jbi-22655	72	11	of	of	ADP
jbi-22655	72	12	each	each	DET
jbi-22655	72	13	species	specie	NOUN
jbi-22655	72	14	by	by	ADP
jbi-22655	72	15	programming	program	VERB
jbi-22655	72	16	a	a	DET
jbi-22655	72	17	cellular	cellular	ADJ
jbi-22655	72	18	automaton	automaton	NOUN
jbi-22655	72	19	(	(	PUNCT
jbi-22655	72	20	ca	ca	NOUN
jbi-22655	72	21	)	)	PUNCT
jbi-22655	72	22	to	to	PART
jbi-22655	72	23	find	find	VERB
jbi-22655	72	24	potential	potential	ADJ
jbi-22655	72	25	areas	area	NOUN
jbi-22655	72	26	where	where	SCONJ
jbi-22655	72	27	the	the	DET
jbi-22655	72	28	species	specie	NOUN
jbi-22655	72	29	would	would	AUX
jbi-22655	72	30	be	be	AUX
jbi-22655	72	31	at	at	ADP
jbi-22655	72	32	environmental	environmental	ADJ
jbi-22655	72	33	equilibrium	equilibrium	NOUN
jbi-22655	72	34	.	.	PUNCT
jbi-22655	73	1	to	to	PART
jbi-22655	73	2	achieve	achieve	VERB
jbi-22655	73	3	this	this	PRON
jbi-22655	73	4	,	,	PUNCT
jbi-22655	73	5	each	each	DET
jbi-22655	73	6	species	specie	NOUN
jbi-22655	73	7	was	be	AUX
jbi-22655	73	8	assigned	assign	VERB
jbi-22655	73	9	a	a	DET
jbi-22655	73	10	random	random	ADJ
jbi-22655	73	11	dispersal	dispersal	NOUN
jbi-22655	73	12	capability	capability	NOUN
jbi-22655	73	13	within	within	ADP
jbi-22655	73	14	the	the	DET
jbi-22655	73	15	range	range	NOUN
jbi-22655	73	16	of	of	ADP
jbi-22655	73	17	50	50	NUM
jbi-22655	73	18	to	to	PART
jbi-22655	73	19	250	250	NUM
jbi-22655	73	20	km	km	NOUN
jbi-22655	73	21	.	.	PUNCT
jbi-22655	74	1	this	this	DET
jbi-22655	74	2	dispersal	dispersal	NOUN
jbi-22655	74	3	capability	capability	NOUN
jbi-22655	74	4	is	be	AUX
jbi-22655	74	5	fixed	fix	VERB
jbi-22655	74	6	for	for	ADP
jbi-22655	74	7	each	each	DET
jbi-22655	74	8	species	specie	NOUN
jbi-22655	74	9	and	and	CCONJ
jbi-22655	74	10	represents	represent	VERB
jbi-22655	74	11	the	the	DET
jbi-22655	74	12	maximum	maximum	ADJ
jbi-22655	74	13	distance	distance	NOUN
jbi-22655	74	14	it	it	PRON
jbi-22655	74	15	can	can	AUX
jbi-22655	74	16	disperse	disperse	VERB
jbi-22655	74	17	in	in	ADP
jbi-22655	74	18	each	each	DET
jbi-22655	74	19	iteration	iteration	NOUN
jbi-22655	74	20	.	.	PUNCT
jbi-22655	75	1	using	use	VERB
jbi-22655	75	2	this	this	DET
jbi-22655	75	3	information	information	NOUN
jbi-22655	75	4	,	,	PUNCT
jbi-22655	75	5	the	the	DET
jbi-22655	75	6	accessible	accessible	ADJ
jbi-22655	75	7	luna	luna	PROPN
jbi-22655	75	8	et	et	PROPN
jbi-22655	75	9	al	al	PROPN
jbi-22655	75	10	.	.	PROPN
jbi-22655	75	11	–	–	PUNCT
jbi-22655	75	12	species	species	NOUN
jbi-22655	75	13	distribution	distribution	NOUN
jbi-22655	75	14	model	model	NOUN
jbi-22655	75	15	accuracy	accuracy	NOUN
jbi-22655	75	16	influenced	influence	VERB
jbi-22655	75	17	by	by	ADP
jbi-22655	75	18	calibration	calibration	NOUN
jbi-22655	75	19	area	area	NOUN
jbi-22655	75	20	46	46	NUM
jbi-22655	75	21	area	area	NOUN
jbi-22655	75	22	was	be	AUX
jbi-22655	75	23	simulated	simulate	VERB
jbi-22655	75	24	by	by	ADP
jbi-22655	75	25	selecting	select	VERB
jbi-22655	75	26	cells	cell	NOUN
jbi-22655	75	27	through	through	ADP
jbi-22655	75	28	a	a	DET
jbi-22655	75	29	bernoulli	bernoulli	NOUN
jbi-22655	75	30	trial	trial	NOUN
jbi-22655	75	31	based	base	VERB
jbi-22655	75	32	on	on	ADP
jbi-22655	75	33	their	their	PRON
jbi-22655	75	34	occurrence	occurrence	NOUN
jbi-22655	75	35	probability	probability	NOUN
jbi-22655	75	36	.	.	PUNCT
jbi-22655	76	1	the	the	DET
jbi-22655	76	2	point	point	NOUN
jbi-22655	76	3	with	with	ADP
jbi-22655	76	4	the	the	DET
jbi-22655	76	5	highest	high	ADJ
jbi-22655	76	6	occurrence	occurrence	NOUN
jbi-22655	76	7	probability	probability	NOUN
jbi-22655	76	8	across	across	ADP
jbi-22655	76	9	the	the	DET
jbi-22655	76	10	landscape	landscape	NOUN
jbi-22655	76	11	served	serve	VERB
jbi-22655	76	12	as	as	ADP
jbi-22655	76	13	the	the	DET
jbi-22655	76	14	initial	initial	ADJ
jbi-22655	76	15	selection	selection	NOUN
jbi-22655	76	16	point	point	NOUN
jbi-22655	76	17	,	,	PUNCT
jbi-22655	76	18	and	and	CCONJ
jbi-22655	76	19	a	a	DET
jbi-22655	76	20	buffer	buffer	NOUN
jbi-22655	76	21	was	be	AUX
jbi-22655	76	22	generated	generate	VERB
jbi-22655	76	23	around	around	ADP
jbi-22655	76	24	it	it	PRON
jbi-22655	76	25	with	with	ADP
jbi-22655	76	26	a	a	DET
jbi-22655	76	27	radius	radius	NOUN
jbi-22655	76	28	equivalent	equivalent	NOUN
jbi-22655	76	29	to	to	ADP
jbi-22655	76	30	the	the	DET
jbi-22655	76	31	assigned	assign	VERB
jbi-22655	76	32	dispersal	dispersal	NOUN
jbi-22655	76	33	capability	capability	NOUN
jbi-22655	76	34	.	.	PUNCT
jbi-22655	77	1	subsequent	subsequent	ADJ
jbi-22655	77	2	cells	cell	NOUN
jbi-22655	77	3	were	be	AUX
jbi-22655	77	4	selected	select	VERB
jbi-22655	77	5	within	within	ADP
jbi-22655	77	6	this	this	DET
jbi-22655	77	7	buffer	buffer	NOUN
jbi-22655	77	8	through	through	ADP
jbi-22655	77	9	additional	additional	ADJ
jbi-22655	77	10	bernoulli	bernoulli	NOUN
jbi-22655	77	11	trials	trial	NOUN
jbi-22655	77	12	,	,	PUNCT
jbi-22655	77	13	generating	generate	VERB
jbi-22655	77	14	a	a	DET
jbi-22655	77	15	new	new	ADJ
jbi-22655	77	16	buffer	buffer	NOUN
jbi-22655	77	17	.	.	PUNCT
jbi-22655	78	1	this	this	DET
jbi-22655	78	2	process	process	NOUN
jbi-22655	78	3	was	be	AUX
jbi-22655	78	4	repeated	repeat	VERB
jbi-22655	78	5	until	until	SCONJ
jbi-22655	78	6	no	no	DET
jbi-22655	78	7	additional	additional	ADJ
jbi-22655	78	8	cells	cell	NOUN
jbi-22655	78	9	could	could	AUX
jbi-22655	78	10	be	be	AUX
jbi-22655	78	11	added	add	VERB
jbi-22655	78	12	(	(	PUNCT
jbi-22655	78	13	environmental	environmental	ADJ
jbi-22655	78	14	equilibrium	equilibrium	NOUN
jbi-22655	78	15	)	)	PUNCT
jbi-22655	78	16	.	.	PUNCT
jbi-22655	79	1	the	the	DET
jbi-22655	79	2	resulting	result	VERB
jbi-22655	79	3	buffer	buffer	NOUN
jbi-22655	79	4	was	be	AUX
jbi-22655	79	5	considered	consider	VERB
jbi-22655	79	6	the	the	DET
jbi-22655	79	7	accessible	accessible	ADJ
jbi-22655	79	8	area	area	NOUN
jbi-22655	79	9	for	for	ADP
jbi-22655	79	10	the	the	DET
jbi-22655	79	11	species	specie	NOUN
jbi-22655	79	12	,	,	PUNCT
jbi-22655	79	13	representing	represent	VERB
jbi-22655	79	14	the	the	DET
jbi-22655	79	15	sites	site	NOUN
jbi-22655	79	16	it	it	PRON
jbi-22655	79	17	has	have	AUX
jbi-22655	79	18	potentially	potentially	ADV
jbi-22655	79	19	explored	explore	VERB
jbi-22655	79	20	.	.	PUNCT
jbi-22655	80	1	the	the	DET
jbi-22655	80	2	ca	ca	NOUN
jbi-22655	80	3	function	function	NOUN
jbi-22655	80	4	is	be	AUX
jbi-22655	80	5	based	base	VERB
jbi-22655	80	6	on	on	ADP
jbi-22655	80	7	the	the	DET
jbi-22655	80	8	presence	presence	NOUN
jbi-22655	80	9	of	of	ADP
jbi-22655	80	10	cells	cell	NOUN
jbi-22655	80	11	with	with	ADP
jbi-22655	80	12	sufficiently	sufficiently	ADV
jbi-22655	80	13	high	high	ADJ
jbi-22655	80	14	probabilities	probability	NOUN
jbi-22655	80	15	of	of	ADP
jbi-22655	80	16	occurrence	occurrence	NOUN
jbi-22655	80	17	.	.	PUNCT
jbi-22655	81	1	in	in	ADP
jbi-22655	81	2	regions	region	NOUN
jbi-22655	81	3	with	with	ADP
jbi-22655	81	4	high	high	ADJ
jbi-22655	81	5	occurrence	occurrence	NOUN
jbi-22655	81	6	probabilities	probability	NOUN
jbi-22655	81	7	,	,	PUNCT
jbi-22655	81	8	the	the	DET
jbi-22655	81	9	buffer	buffer	NOUN
jbi-22655	81	10	will	will	AUX
jbi-22655	81	11	continue	continue	VERB
jbi-22655	81	12	to	to	PART
jbi-22655	81	13	expand	expand	VERB
jbi-22655	81	14	,	,	PUNCT
jbi-22655	81	15	allowing	allow	VERB
jbi-22655	81	16	the	the	DET
jbi-22655	81	17	species	specie	NOUN
jbi-22655	81	18	to	to	PART
jbi-22655	81	19	explore	explore	VERB
jbi-22655	81	20	more	more	ADV
jbi-22655	81	21	adjacent	adjacent	ADJ
jbi-22655	81	22	areas	area	NOUN
jbi-22655	81	23	.	.	PUNCT
jbi-22655	82	1	conversely	conversely	ADV
jbi-22655	82	2	,	,	PUNCT
jbi-22655	82	3	in	in	ADP
jbi-22655	82	4	regions	region	NOUN
jbi-22655	82	5	where	where	SCONJ
jbi-22655	82	6	occurrence	occurrence	NOUN
jbi-22655	82	7	probabilities	probability	NOUN
jbi-22655	82	8	are	be	AUX
jbi-22655	82	9	lower	low	ADJ
jbi-22655	82	10	,	,	PUNCT
jbi-22655	82	11	fewer	few	ADJ
jbi-22655	82	12	cells	cell	NOUN
jbi-22655	82	13	are	be	AUX
jbi-22655	82	14	added	add	VERB
jbi-22655	82	15	,	,	PUNCT
jbi-22655	82	16	and	and	CCONJ
jbi-22655	82	17	the	the	DET
jbi-22655	82	18	buffer	buffer	NOUN
jbi-22655	82	19	’s	’s	PART
jbi-22655	82	20	growth	growth	NOUN
jbi-22655	82	21	tends	tend	VERB
jbi-22655	82	22	to	to	PART
jbi-22655	82	23	diminish	diminish	VERB
jbi-22655	82	24	.	.	PUNCT
jbi-22655	83	1	this	this	DET
jbi-22655	83	2	process	process	NOUN
jbi-22655	83	3	is	be	AUX
jbi-22655	83	4	analogous	analogous	ADJ
jbi-22655	83	5	to	to	ADP
jbi-22655	83	6	real	real	ADJ
jbi-22655	83	7	ecological	ecological	ADJ
jbi-22655	83	8	dynamics	dynamic	NOUN
jbi-22655	83	9	,	,	PUNCT
jbi-22655	83	10	where	where	SCONJ
jbi-22655	83	11	species	specie	NOUN
jbi-22655	83	12	are	be	AUX
jbi-22655	83	13	more	more	ADV
jbi-22655	83	14	likely	likely	ADJ
jbi-22655	83	15	to	to	PART
jbi-22655	83	16	colonize	colonize	VERB
jbi-22655	83	17	and	and	CCONJ
jbi-22655	83	18	establish	establish	VERB
jbi-22655	83	19	in	in	ADP
jbi-22655	83	20	regions	region	NOUN
jbi-22655	83	21	that	that	PRON
jbi-22655	83	22	provide	provide	VERB
jbi-22655	83	23	optimal	optimal	ADJ
jbi-22655	83	24	conditions	condition	NOUN
jbi-22655	83	25	for	for	ADP
jbi-22655	83	26	survival	survival	NOUN
jbi-22655	83	27	and	and	CCONJ
jbi-22655	83	28	reproduction	reproduction	NOUN
jbi-22655	83	29	.	.	PUNCT
jbi-22655	84	1	for	for	ADP
jbi-22655	84	2	each	each	DET
jbi-22655	84	3	species	specie	NOUN
jbi-22655	84	4	,	,	PUNCT
jbi-22655	84	5	100	100	NUM
jbi-22655	84	6	occurrence	occurrence	NOUN
jbi-22655	84	7	records	record	NOUN
jbi-22655	84	8	were	be	AUX
jbi-22655	84	9	obtained	obtain	VERB
jbi-22655	84	10	by	by	ADP
jbi-22655	84	11	randomly	randomly	ADV
jbi-22655	84	12	selecting	select	VERB
jbi-22655	84	13	cells	cell	NOUN
jbi-22655	84	14	(	(	PUNCT
jbi-22655	84	15	with	with	ADP
jbi-22655	84	16	replacement	replacement	NOUN
jbi-22655	84	17	)	)	PUNCT
jbi-22655	84	18	with	with	ADP
jbi-22655	84	19	a	a	DET
jbi-22655	84	20	bernoulli	bernoulli	NOUN
jbi-22655	84	21	trial	trial	NOUN
jbi-22655	84	22	with	with	ADP
jbi-22655	84	23	a	a	DET
jbi-22655	84	24	probability	probability	NOUN
jbi-22655	84	25	of	of	ADP
jbi-22655	84	26	success	success	NOUN
jbi-22655	84	27	equal	equal	ADJ
jbi-22655	84	28	to	to	ADP
jbi-22655	84	29	:	:	PUNCT
jbi-22655	84	30	p(x	p(x	PROPN
jbi-22655	84	31	)	)	PUNCT
jbi-22655	84	32	=	=	SYM
jbi-22655	84	33	s(x)b(x)r(x	s(x)b(x)r(x	PROPN
jbi-22655	84	34	)	)	PUNCT
jbi-22655	84	35	where	where	SCONJ
jbi-22655	84	36	p(x	p(x	NOUN
jbi-22655	84	37	)	)	PUNCT
jbi-22655	84	38	is	be	AUX
jbi-22655	84	39	the	the	DET
jbi-22655	84	40	sampling	sample	VERB
jbi-22655	84	41	probability	probability	NOUN
jbi-22655	84	42	of	of	ADP
jbi-22655	84	43	the	the	DET
jbi-22655	84	44	cell	cell	NOUN
jbi-22655	84	45	,	,	PUNCT
jbi-22655	84	46	s(x	s(x	PROPN
jbi-22655	84	47	)	)	PUNCT
jbi-22655	84	48	is	be	AUX
jbi-22655	84	49	the	the	DET
jbi-22655	84	50	occurrence	occurrence	NOUN
jbi-22655	84	51	probability	probability	NOUN
jbi-22655	84	52	of	of	ADP
jbi-22655	84	53	the	the	DET
jbi-22655	84	54	species	specie	NOUN
jbi-22655	84	55	in	in	ADP
jbi-22655	84	56	that	that	DET
jbi-22655	84	57	cell	cell	NOUN
jbi-22655	84	58	,	,	PUNCT
jbi-22655	84	59	b(x	b(x	NOUN
jbi-22655	84	60	)	)	PUNCT
jbi-22655	84	61	is	be	AUX
jbi-22655	84	62	the	the	DET
jbi-22655	84	63	relative	relative	ADJ
jbi-22655	84	64	strength	strength	NOUN
jbi-22655	84	65	of	of	ADP
jbi-22655	84	66	spatial	spatial	ADJ
jbi-22655	84	67	sampling	sampling	NOUN
jbi-22655	84	68	bias	bias	NOUN
jbi-22655	84	69	,	,	PUNCT
jbi-22655	84	70	and	and	CCONJ
jbi-22655	84	71	r(x	r(x	NOUN
jbi-22655	84	72	)	)	PUNCT
jbi-22655	84	73	is	be	AUX
jbi-22655	84	74	a	a	DET
jbi-22655	84	75	binary	binary	ADJ
jbi-22655	84	76	variable	variable	NOUN
jbi-22655	84	77	with	with	ADP
jbi-22655	84	78	values	value	NOUN
jbi-22655	84	79	1	1	NUM
jbi-22655	84	80	inside	inside	ADP
jbi-22655	84	81	the	the	DET
jbi-22655	84	82	accessible	accessible	ADJ
jbi-22655	84	83	area	area	NOUN
jbi-22655	84	84	of	of	ADP
jbi-22655	84	85	the	the	DET
jbi-22655	84	86	species	specie	NOUN
jbi-22655	84	87	and	and	CCONJ
jbi-22655	84	88	0	0	NUM
jbi-22655	84	89	outside	outside	ADV
jbi-22655	84	90	(	(	PUNCT
jbi-22655	84	91	warren	warren	PROPN
jbi-22655	84	92	et	et	PROPN
jbi-22655	84	93	al	al	PROPN
jbi-22655	84	94	.	.	PROPN
jbi-22655	84	95	2020	2020	NUM
jbi-22655	84	96	)	)	PUNCT
jbi-22655	84	97	.	.	PUNCT
jbi-22655	85	1	this	this	DET
jbi-22655	85	2	process	process	NOUN
jbi-22655	85	3	was	be	AUX
jbi-22655	85	4	repeated	repeat	VERB
jbi-22655	85	5	five	five	NUM
jbi-22655	85	6	times	time	NOUN
jbi-22655	85	7	for	for	SCONJ
jbi-22655	85	8	each	each	DET
jbi-22655	85	9	species	specie	NOUN
jbi-22655	85	10	to	to	PART
jbi-22655	85	11	account	account	VERB
jbi-22655	85	12	for	for	ADP
jbi-22655	85	13	stochasticity	stochasticity	NOUN
jbi-22655	85	14	in	in	ADP
jbi-22655	85	15	the	the	DET
jbi-22655	85	16	sampling	sampling	NOUN
jbi-22655	85	17	process	process	NOUN
jbi-22655	85	18	.	.	PUNCT
jbi-22655	86	1	sdm	sdm	PROPN
jbi-22655	86	2	the	the	DET
jbi-22655	86	3	simulation	simulation	NOUN
jbi-22655	86	4	of	of	ADP
jbi-22655	86	5	each	each	DET
jbi-22655	86	6	virtual	virtual	ADJ
jbi-22655	86	7	species	specie	NOUN
jbi-22655	86	8	aimed	aim	VERB
jbi-22655	86	9	to	to	PART
jbi-22655	86	10	represent	represent	VERB
jbi-22655	86	11	realistic	realistic	ADJ
jbi-22655	86	12	aspects	aspect	NOUN
jbi-22655	86	13	affecting	affect	VERB
jbi-22655	86	14	real	real	ADJ
jbi-22655	86	15	species	specie	NOUN
jbi-22655	86	16	occurrences	occurrence	NOUN
jbi-22655	86	17	.	.	PUNCT
jbi-22655	87	1	when	when	SCONJ
jbi-22655	87	2	testing	test	VERB
jbi-22655	87	3	the	the	DET
jbi-22655	87	4	models	model	NOUN
jbi-22655	87	5	,	,	PUNCT
jbi-22655	87	6	our	our	PRON
jbi-22655	87	7	goal	goal	NOUN
jbi-22655	87	8	was	be	AUX
jbi-22655	87	9	to	to	PART
jbi-22655	87	10	reflect	reflect	VERB
jbi-22655	87	11	real	real	ADJ
jbi-22655	87	12	-	-	PUNCT
jbi-22655	87	13	world	world	NOUN
jbi-22655	87	14	modeling	model	VERB
jbi-22655	87	15	scenarios	scenario	NOUN
jbi-22655	87	16	,	,	PUNCT
jbi-22655	87	17	acknowledging	acknowledge	VERB
jbi-22655	87	18	that	that	SCONJ
jbi-22655	87	19	the	the	DET
jbi-22655	87	20	exact	exact	ADJ
jbi-22655	87	21	parameters	parameter	NOUN
jbi-22655	87	22	influencing	influence	VERB
jbi-22655	87	23	species	species	NOUN
jbi-22655	87	24	distributions	distribution	NOUN
jbi-22655	87	25	are	be	AUX
jbi-22655	87	26	often	often	ADV
jbi-22655	87	27	unknown	unknown	ADJ
jbi-22655	87	28	(	(	PUNCT
jbi-22655	87	29	meynard	meynard	NOUN
jbi-22655	87	30	et	et	PROPN
jbi-22655	87	31	al	al	PROPN
jbi-22655	87	32	.	.	PROPN
jbi-22655	87	33	2019	2019	NUM
jbi-22655	87	34	)	)	PUNCT
jbi-22655	87	35	.	.	PUNCT
jbi-22655	88	1	for	for	ADP
jbi-22655	88	2	example	example	NOUN
jbi-22655	88	3	,	,	PUNCT
jbi-22655	88	4	including	include	VERB
jbi-22655	88	5	spatial	spatial	ADJ
jbi-22655	88	6	bias	bias	NOUN
jbi-22655	88	7	in	in	ADP
jbi-22655	88	8	the	the	DET
jbi-22655	88	9	simulation	simulation	NOUN
jbi-22655	88	10	of	of	ADP
jbi-22655	88	11	each	each	DET
jbi-22655	88	12	virtual	virtual	ADJ
jbi-22655	88	13	species	specie	NOUN
jbi-22655	88	14	occurrence	occurrence	NOUN
jbi-22655	88	15	was	be	AUX
jbi-22655	88	16	intentional	intentional	ADJ
jbi-22655	88	17	to	to	PART
jbi-22655	88	18	mimic	mimic	VERB
jbi-22655	88	19	real	real	ADJ
jbi-22655	88	20	-	-	PUNCT
jbi-22655	88	21	world	world	NOUN
jbi-22655	88	22	uneven	uneven	ADJ
jbi-22655	88	23	sampling	sample	VERB
jbi-22655	88	24	conditions	condition	NOUN
jbi-22655	88	25	due	due	ADP
jbi-22655	88	26	to	to	ADP
jbi-22655	88	27	factors	factor	NOUN
jbi-22655	88	28	like	like	ADP
jbi-22655	88	29	accessibility	accessibility	NOUN
jbi-22655	88	30	and	and	CCONJ
jbi-22655	88	31	observer	observer	NOUN
jbi-22655	88	32	effort	effort	NOUN
jbi-22655	88	33	.	.	PUNCT
jbi-22655	89	1	the	the	DET
jbi-22655	89	2	thinning	thin	VERB
jbi-22655	89	3	process	process	NOUN
jbi-22655	89	4	applied	apply	VERB
jbi-22655	89	5	during	during	ADP
jbi-22655	89	6	modeling	modeling	NOUN
jbi-22655	89	7	(	(	PUNCT
jbi-22655	89	8	see	see	VERB
jbi-22655	89	9	below	below	ADV
jbi-22655	89	10	)	)	PUNCT
jbi-22655	89	11	is	be	AUX
jbi-22655	89	12	one	one	NUM
jbi-22655	89	13	of	of	ADP
jbi-22655	89	14	the	the	DET
jbi-22655	89	15	existing	exist	VERB
jbi-22655	89	16	methods	method	NOUN
jbi-22655	89	17	intended	intend	VERB
jbi-22655	89	18	to	to	PART
jbi-22655	89	19	reduce	reduce	VERB
jbi-22655	89	20	this	this	DET
jbi-22655	89	21	bias	bias	NOUN
jbi-22655	89	22	(	(	PUNCT
jbi-22655	89	23	aiello‐lammens	aiello‐lammen	NOUN
jbi-22655	89	24	et	et	PROPN
jbi-22655	89	25	al	al	PROPN
jbi-22655	89	26	.	.	PROPN
jbi-22655	89	27	2015	2015	NUM
jbi-22655	89	28	)	)	PUNCT
jbi-22655	89	29	.	.	PUNCT
jbi-22655	90	1	similarly	similarly	ADV
jbi-22655	90	2	,	,	PUNCT
jbi-22655	90	3	variable	variable	ADJ
jbi-22655	90	4	selection	selection	NOUN
jbi-22655	90	5	is	be	AUX
jbi-22655	90	6	a	a	DET
jbi-22655	90	7	critical	critical	ADJ
jbi-22655	90	8	step	step	NOUN
jbi-22655	90	9	in	in	ADP
jbi-22655	90	10	species	specie	NOUN
jbi-22655	90	11	distribution	distribution	NOUN
jbi-22655	90	12	modeling	modeling	NOUN
jbi-22655	90	13	(	(	PUNCT
jbi-22655	90	14	sdm	sdm	PROPN
jbi-22655	90	15	)	)	PUNCT
jbi-22655	90	16	,	,	PUNCT
jbi-22655	90	17	yet	yet	CCONJ
jbi-22655	90	18	the	the	DET
jbi-22655	90	19	true	true	ADJ
jbi-22655	90	20	explanatory	explanatory	ADJ
jbi-22655	90	21	variables	variable	NOUN
jbi-22655	90	22	driving	drive	VERB
jbi-22655	90	23	species	specie	NOUN
jbi-22655	90	24	distributions	distribution	NOUN
jbi-22655	90	25	are	be	AUX
jbi-22655	90	26	rarely	rarely	ADV
jbi-22655	90	27	known	know	VERB
jbi-22655	90	28	(	(	PUNCT
jbi-22655	90	29	inman	inman	PROPN
jbi-22655	90	30	et	et	PROPN
jbi-22655	90	31	al	al	PROPN
jbi-22655	90	32	.	.	PROPN
jbi-22655	90	33	2021	2021	NUM
jbi-22655	90	34	)	)	PUNCT
jbi-22655	90	35	.	.	PUNCT
jbi-22655	91	1	by	by	ADP
jbi-22655	91	2	excluding	exclude	VERB
jbi-22655	91	3	variables	variable	NOUN
jbi-22655	91	4	based	base	VERB
jbi-22655	91	5	on	on	ADP
jbi-22655	91	6	collinearity	collinearity	NOUN
jbi-22655	91	7	rather	rather	ADV
jbi-22655	91	8	than	than	ADP
jbi-22655	91	9	relying	rely	VERB
jbi-22655	91	10	on	on	ADP
jbi-22655	91	11	using	use	VERB
jbi-22655	91	12	the	the	DET
jbi-22655	91	13	true	true	ADJ
jbi-22655	91	14	influencing	influence	VERB
jbi-22655	91	15	factors	factor	NOUN
jbi-22655	91	16	,	,	PUNCT
jbi-22655	91	17	we	we	PRON
jbi-22655	91	18	aimed	aim	VERB
jbi-22655	91	19	to	to	PART
jbi-22655	91	20	reflect	reflect	VERB
jbi-22655	91	21	the	the	DET
jbi-22655	91	22	inherent	inherent	ADJ
jbi-22655	91	23	uncertainty	uncertainty	NOUN
jbi-22655	91	24	that	that	PRON
jbi-22655	91	25	exists	exist	VERB
jbi-22655	91	26	in	in	ADP
jbi-22655	91	27	real	real	ADJ
jbi-22655	91	28	-	-	PUNCT
jbi-22655	91	29	world	world	NOUN
jbi-22655	91	30	variable	variable	ADJ
jbi-22655	91	31	selection	selection	NOUN
jbi-22655	91	32	scenarios	scenario	NOUN
jbi-22655	91	33	.	.	PUNCT
jbi-22655	92	1	while	while	SCONJ
jbi-22655	92	2	simulating	simulate	VERB
jbi-22655	92	3	all	all	DET
jbi-22655	92	4	aspects	aspect	NOUN
jbi-22655	92	5	that	that	PRON
jbi-22655	92	6	influence	influence	NOUN
jbi-22655	92	7	species	species	NOUN
jbi-22655	92	8	distributions	distribution	NOUN
jbi-22655	92	9	is	be	AUX
jbi-22655	92	10	conceptually	conceptually	ADV
jbi-22655	92	11	and	and	CCONJ
jbi-22655	92	12	computationally	computationally	ADV
jbi-22655	92	13	challenging	challenging	ADJ
jbi-22655	92	14	,	,	PUNCT
jbi-22655	92	15	we	we	PRON
jbi-22655	92	16	aimed	aim	VERB
jbi-22655	92	17	to	to	PART
jbi-22655	92	18	include	include	VERB
jbi-22655	92	19	some	some	DET
jbi-22655	92	20	essential	essential	ADJ
jbi-22655	92	21	aspects	aspect	NOUN
jbi-22655	92	22	to	to	PART
jbi-22655	92	23	provide	provide	VERB
jbi-22655	92	24	a	a	DET
jbi-22655	92	25	more	more	ADV
jbi-22655	92	26	realistic	realistic	ADJ
jbi-22655	92	27	evaluation	evaluation	NOUN
jbi-22655	92	28	framework	framework	NOUN
jbi-22655	92	29	.	.	PUNCT
jbi-22655	93	1	sdm	sdm	PROPN
jbi-22655	93	2	were	be	AUX
jbi-22655	93	3	built	build	VERB
jbi-22655	93	4	for	for	ADP
jbi-22655	93	5	each	each	PRON
jbi-22655	93	6	of	of	ADP
jbi-22655	93	7	the	the	DET
jbi-22655	93	8	occurrence	occurrence	NOUN
jbi-22655	93	9	datasets	dataset	NOUN
jbi-22655	93	10	using	use	VERB
jbi-22655	93	11	maxent	maxent	NOUN
jbi-22655	93	12	v3.4.4	v3.4.4	PROPN
jbi-22655	93	13	(	(	PUNCT
jbi-22655	93	14	phillips	phillip	NOUN
jbi-22655	93	15	et	et	PROPN
jbi-22655	93	16	al	al	PROPN
jbi-22655	93	17	.	.	PROPN
jbi-22655	93	18	2006	2006	NUM
jbi-22655	93	19	)	)	PUNCT
jbi-22655	93	20	in	in	ADP
jbi-22655	93	21	the	the	DET
jbi-22655	93	22	dismo	dismo	NOUN
jbi-22655	93	23	r	r	NOUN
jbi-22655	93	24	package	package	NOUN
jbi-22655	93	25	(	(	PUNCT
jbi-22655	93	26	hijmans	hijman	NOUN
jbi-22655	93	27	et	et	PROPN
jbi-22655	93	28	al	al	PROPN
jbi-22655	93	29	.	.	PROPN
jbi-22655	93	30	2017	2017	NUM
jbi-22655	93	31	)	)	PUNCT
jbi-22655	93	32	.	.	PUNCT
jbi-22655	94	1	the	the	DET
jbi-22655	94	2	different	different	ADJ
jbi-22655	94	3	levels	level	NOUN
jbi-22655	94	4	of	of	ADP
jbi-22655	94	5	the	the	DET
jbi-22655	94	6	four	four	NUM
jbi-22655	94	7	factors	factor	NOUN
jbi-22655	94	8	set	set	VERB
jbi-22655	94	9	out	out	ADP
jbi-22655	94	10	below	below	ADV
jbi-22655	94	11	involved	involve	VERB
jbi-22655	94	12	the	the	DET
jbi-22655	94	13	evaluation	evaluation	NOUN
jbi-22655	94	14	of	of	ADP
jbi-22655	94	15	2000	2000	NUM
jbi-22655	94	16	models	model	NOUN
jbi-22655	94	17	per	per	ADP
jbi-22655	94	18	species	specie	NOUN
jbi-22655	94	19	(	(	PUNCT
jbi-22655	94	20	400	400	NUM
jbi-22655	94	21	models	model	NOUN
jbi-22655	94	22	x	x	SYM
jbi-22655	94	23	5	5	NUM
jbi-22655	94	24	occurrence	occurrence	NOUN
jbi-22655	94	25	replicates	replicate	NOUN
jbi-22655	94	26	)	)	PUNCT
jbi-22655	94	27	.	.	PUNCT
jbi-22655	95	1	the	the	DET
jbi-22655	95	2	remaining	remain	VERB
jbi-22655	95	3	configurations	configuration	NOUN
jbi-22655	95	4	were	be	AUX
jbi-22655	95	5	set	set	VERB
jbi-22655	95	6	to	to	ADP
jbi-22655	95	7	their	their	PRON
jbi-22655	95	8	default	default	NOUN
jbi-22655	95	9	settings	setting	NOUN
jbi-22655	95	10	.	.	PUNCT
jbi-22655	96	1	calibration	calibration	NOUN
jbi-22655	96	2	area.—given	area.—given	VERB
jbi-22655	96	3	that	that	SCONJ
jbi-22655	96	4	maxent	maxent	NOUN
jbi-22655	96	5	works	work	VERB
jbi-22655	96	6	with	with	ADP
jbi-22655	96	7	a	a	DET
jbi-22655	96	8	maximum	maximum	ADJ
jbi-22655	96	9	entropy	entropy	NOUN
jbi-22655	96	10	principle	principle	NOUN
jbi-22655	96	11	,	,	PUNCT
jbi-22655	96	12	it	it	PRON
jbi-22655	96	13	is	be	AUX
jbi-22655	96	14	necessary	necessary	ADJ
jbi-22655	96	15	to	to	PART
jbi-22655	96	16	provide	provide	VERB
jbi-22655	96	17	random	random	ADJ
jbi-22655	96	18	data	datum	NOUN
jbi-22655	96	19	from	from	ADP
jbi-22655	96	20	the	the	DET
jbi-22655	96	21	environment	environment	NOUN
jbi-22655	96	22	for	for	ADP
jbi-22655	96	23	its	its	PRON
jbi-22655	96	24	characterization	characterization	NOUN
jbi-22655	96	25	(	(	PUNCT
jbi-22655	96	26	merow	merow	NOUN
jbi-22655	96	27	et	et	PROPN
jbi-22655	96	28	al	al	PROPN
jbi-22655	96	29	.	.	PROPN
jbi-22655	96	30	2013	2013	NUM
jbi-22655	96	31	)	)	PUNCT
jbi-22655	96	32	.	.	PUNCT
jbi-22655	97	1	as	as	SCONJ
jbi-22655	97	2	the	the	DET
jbi-22655	97	3	extent	extent	NOUN
jbi-22655	97	4	of	of	ADP
jbi-22655	97	5	the	the	DET
jbi-22655	97	6	calibration	calibration	NOUN
jbi-22655	97	7	area	area	NOUN
jbi-22655	97	8	directly	directly	ADV
jbi-22655	97	9	influences	influence	VERB
jbi-22655	97	10	the	the	DET
jbi-22655	97	11	range	range	NOUN
jbi-22655	97	12	of	of	ADP
jbi-22655	97	13	environmental	environmental	ADJ
jbi-22655	97	14	conditions	condition	NOUN
jbi-22655	97	15	available	available	ADJ
jbi-22655	97	16	for	for	ADP
jbi-22655	97	17	model	model	NOUN
jbi-22655	97	18	training	training	NOUN
jbi-22655	97	19	,	,	PUNCT
jbi-22655	97	20	it	it	PRON
jbi-22655	97	21	is	be	AUX
jbi-22655	97	22	of	of	ADP
jbi-22655	97	23	great	great	ADJ
jbi-22655	97	24	importance	importance	NOUN
jbi-22655	97	25	to	to	PART
jbi-22655	97	26	carefully	carefully	ADV
jbi-22655	97	27	consider	consider	VERB
jbi-22655	97	28	the	the	DET
jbi-22655	97	29	geographic	geographic	ADJ
jbi-22655	97	30	space	space	NOUN
jbi-22655	97	31	in	in	ADP
jbi-22655	97	32	model	model	NOUN
jbi-22655	97	33	calibration	calibration	NOUN
jbi-22655	97	34	.	.	PUNCT
jbi-22655	98	1	given	give	VERB
jbi-22655	98	2	that	that	SCONJ
jbi-22655	98	3	the	the	DET
jbi-22655	98	4	accessible	accessible	ADJ
jbi-22655	98	5	area	area	NOUN
jbi-22655	98	6	for	for	ADP
jbi-22655	98	7	a	a	DET
jbi-22655	98	8	species	species	NOUN
jbi-22655	98	9	is	be	AUX
jbi-22655	98	10	usually	usually	ADV
jbi-22655	98	11	unknown	unknown	ADJ
jbi-22655	98	12	,	,	PUNCT
jbi-22655	98	13	the	the	DET
jbi-22655	98	14	effect	effect	NOUN
jbi-22655	98	15	of	of	ADP
jbi-22655	98	16	the	the	DET
jbi-22655	98	17	calibration	calibration	NOUN
jbi-22655	98	18	area	area	NOUN
jbi-22655	98	19	extent	extent	NOUN
jbi-22655	98	20	was	be	AUX
jbi-22655	98	21	evaluated	evaluate	VERB
jbi-22655	98	22	by	by	ADP
jbi-22655	98	23	randomly	randomly	ADV
jbi-22655	98	24	sampling	sample	VERB
jbi-22655	98	25	10,000	10,000	NUM
jbi-22655	98	26	background	background	NOUN
jbi-22655	98	27	cells	cell	NOUN
jbi-22655	98	28	(	(	PUNCT
jbi-22655	98	29	default	default	NOUN
jbi-22655	98	30	value	value	NOUN
jbi-22655	98	31	)	)	PUNCT
jbi-22655	98	32	within	within	ADP
jbi-22655	98	33	a	a	DET
jbi-22655	98	34	radius	radius	NOUN
jbi-22655	98	35	of	of	ADP
jbi-22655	98	36	25	25	NUM
jbi-22655	98	37	,	,	PUNCT
jbi-22655	98	38	50	50	NUM
jbi-22655	98	39	,	,	PUNCT
jbi-22655	98	40	100	100	NUM
jbi-22655	98	41	,	,	PUNCT
jbi-22655	98	42	200	200	NUM
jbi-22655	98	43	,	,	PUNCT
jbi-22655	98	44	300	300	NUM
jbi-22655	98	45	,	,	PUNCT
jbi-22655	98	46	500	500	NUM
jbi-22655	98	47	,	,	PUNCT
jbi-22655	98	48	700	700	NUM
jbi-22655	98	49	,	,	PUNCT
jbi-22655	98	50	and	and	CCONJ
jbi-22655	98	51	1000	1000	NUM
jbi-22655	98	52	km	km	NOUN
jbi-22655	98	53	around	around	ADP
jbi-22655	98	54	the	the	DET
jbi-22655	98	55	occurrence	occurrence	NOUN
jbi-22655	98	56	records	record	NOUN
jbi-22655	98	57	.	.	PUNCT
jbi-22655	99	1	all	all	DET
jbi-22655	99	2	available	available	ADJ
jbi-22655	99	3	cells	cell	NOUN
jbi-22655	99	4	were	be	AUX
jbi-22655	99	5	used	use	VERB
jbi-22655	99	6	for	for	ADP
jbi-22655	99	7	calibration	calibration	NOUN
jbi-22655	99	8	areas	area	NOUN
jbi-22655	99	9	with	with	ADP
jbi-22655	99	10	less	less	ADJ
jbi-22655	99	11	than	than	ADP
jbi-22655	99	12	10,000	10,000	NUM
jbi-22655	99	13	background	background	NOUN
jbi-22655	99	14	points	point	NOUN
jbi-22655	99	15	.	.	PUNCT
jbi-22655	100	1	spatial	spatial	ADJ
jbi-22655	100	2	filtering	filtering	NOUN
jbi-22655	100	3	of	of	ADP
jbi-22655	100	4	occurrence	occurrence	NOUN
jbi-22655	100	5	records.—spatial	records.—spatial	NUM
jbi-22655	100	6	filtering	filtering	NOUN
jbi-22655	100	7	of	of	ADP
jbi-22655	100	8	occurrence	occurrence	NOUN
jbi-22655	100	9	records	record	NOUN
jbi-22655	100	10	is	be	AUX
jbi-22655	100	11	one	one	NUM
jbi-22655	100	12	of	of	ADP
jbi-22655	100	13	the	the	DET
jbi-22655	100	14	main	main	ADJ
jbi-22655	100	15	methods	method	NOUN
jbi-22655	100	16	used	use	VERB
jbi-22655	100	17	to	to	PART
jbi-22655	100	18	reduce	reduce	VERB
jbi-22655	100	19	the	the	DET
jbi-22655	100	20	sampling	sample	VERB
jbi-22655	100	21	bias	bias	NOUN
jbi-22655	100	22	in	in	ADP
jbi-22655	100	23	datasets	dataset	NOUN
jbi-22655	100	24	derived	derive	VERB
jbi-22655	100	25	from	from	ADP
jbi-22655	100	26	biological	biological	ADJ
jbi-22655	100	27	collections	collection	NOUN
jbi-22655	100	28	(	(	PUNCT
jbi-22655	100	29	taylor	taylor	PROPN
jbi-22655	100	30	et	et	PROPN
jbi-22655	100	31	al	al	PROPN
jbi-22655	100	32	.	.	PROPN
jbi-22655	100	33	2020	2020	NUM
jbi-22655	100	34	)	)	PUNCT
jbi-22655	100	35	.	.	PUNCT
jbi-22655	101	1	occurrence	occurrence	NOUN
jbi-22655	101	2	records	record	NOUN
jbi-22655	101	3	were	be	AUX
jbi-22655	101	4	filtered	filter	VERB
jbi-22655	101	5	using	use	VERB
jbi-22655	101	6	the	the	DET
jbi-22655	101	7	spthin	spthin	NOUN
jbi-22655	101	8	package	package	NOUN
jbi-22655	101	9	(	(	PUNCT
jbi-22655	101	10	aiello‐lammens	aiello‐lammen	NOUN
jbi-22655	101	11	et	et	PROPN
jbi-22655	101	12	al	al	PROPN
jbi-22655	101	13	.	.	PROPN
jbi-22655	101	14	2015	2015	NUM
jbi-22655	101	15	)	)	PUNCT
jbi-22655	101	16	with	with	ADP
jbi-22655	101	17	the	the	DET
jbi-22655	101	18	following	follow	VERB
jbi-22655	101	19	filtering	filter	VERB
jbi-22655	101	20	distances	distance	NOUN
jbi-22655	101	21	:	:	PUNCT
jbi-22655	101	22	0	0	NUM
jbi-22655	101	23	(	(	PUNCT
jbi-22655	101	24	no	no	DET
jbi-22655	101	25	filtering	filtering	NOUN
jbi-22655	101	26	)	)	PUNCT
jbi-22655	101	27	,	,	PUNCT
jbi-22655	101	28	5	5	NUM
jbi-22655	101	29	,	,	PUNCT
jbi-22655	101	30	10	10	NUM
jbi-22655	101	31	,	,	PUNCT
jbi-22655	101	32	15	15	NUM
jbi-22655	101	33	,	,	PUNCT
jbi-22655	101	34	and	and	CCONJ
jbi-22655	101	35	20	20	NUM
jbi-22655	101	36	km	km	NOUN
jbi-22655	101	37	.	.	PUNCT
jbi-22655	102	1	predictor	predictor	NOUN
jbi-22655	102	2	collinearity.—there	collinearity.—there	PRON
jbi-22655	102	3	is	be	AUX
jbi-22655	102	4	still	still	ADV
jbi-22655	102	5	a	a	DET
jbi-22655	102	6	lack	lack	NOUN
jbi-22655	102	7	of	of	ADP
jbi-22655	102	8	consensus	consensus	NOUN
jbi-22655	102	9	regarding	regard	VERB
jbi-22655	102	10	how	how	SCONJ
jbi-22655	102	11	predictor	predictor	NOUN
jbi-22655	102	12	collinearity	collinearity	NOUN
jbi-22655	102	13	should	should	AUX
jbi-22655	102	14	be	be	AUX
jbi-22655	102	15	treated	treat	VERB
jbi-22655	102	16	in	in	ADP
jbi-22655	102	17	sdm	sdm	PROPN
jbi-22655	102	18	,	,	PUNCT
jbi-22655	102	19	given	give	VERB
jbi-22655	102	20	that	that	SCONJ
jbi-22655	102	21	using	use	VERB
jbi-22655	102	22	highly	highly	ADV
jbi-22655	102	23	correlated	correlate	VERB
jbi-22655	102	24	variables	variable	NOUN
jbi-22655	102	25	may	may	AUX
jbi-22655	102	26	influence	influence	VERB
jbi-22655	102	27	model	model	NOUN
jbi-22655	102	28	performance	performance	NOUN
jbi-22655	102	29	(	(	PUNCT
jbi-22655	102	30	feng	feng	PROPN
jbi-22655	102	31	et	et	PROPN
jbi-22655	102	32	al	al	PROPN
jbi-22655	102	33	.	.	PROPN
jbi-22655	102	34	2019	2019	NUM
jbi-22655	102	35	)	)	PUNCT
jbi-22655	102	36	.	.	PUNCT
jbi-22655	103	1	we	we	PRON
jbi-22655	103	2	compared	compare	VERB
jbi-22655	103	3	the	the	DET
jbi-22655	103	4	effect	effect	NOUN
jbi-22655	103	5	luna	luna	PROPN
jbi-22655	103	6	et	et	PROPN
jbi-22655	103	7	al	al	PROPN
jbi-22655	103	8	.	.	PROPN
jbi-22655	103	9	–	–	PUNCT
jbi-22655	103	10	species	species	NOUN
jbi-22655	103	11	distribution	distribution	NOUN
jbi-22655	103	12	model	model	NOUN
jbi-22655	103	13	accuracy	accuracy	NOUN
jbi-22655	103	14	influenced	influence	VERB
jbi-22655	103	15	by	by	ADP
jbi-22655	103	16	calibration	calibration	NOUN
jbi-22655	103	17	area	area	NOUN
jbi-22655	103	18	47	47	NUM
jbi-22655	103	19	of	of	ADP
jbi-22655	103	20	dealing	deal	VERB
jbi-22655	103	21	with	with	ADP
jbi-22655	103	22	predictor	predictor	NOUN
jbi-22655	103	23	collinearity	collinearity	NOUN
jbi-22655	103	24	by	by	ADP
jbi-22655	103	25	calibrating	calibrate	VERB
jbi-22655	103	26	models	model	NOUN
jbi-22655	103	27	using	use	VERB
jbi-22655	103	28	all	all	DET
jbi-22655	103	29	available	available	ADJ
jbi-22655	103	30	variables	variable	NOUN
jbi-22655	103	31	or	or	CCONJ
jbi-22655	103	32	selecting	select	VERB
jbi-22655	103	33	variables	variable	NOUN
jbi-22655	103	34	with	with	ADP
jbi-22655	103	35	pearson	pearson	PROPN
jbi-22655	103	36	correlation	correlation	NOUN
jbi-22655	103	37	coefficients	coefficient	NOUN
jbi-22655	103	38	below	below	ADP
jbi-22655	103	39	0.7	0.7	NUM
jbi-22655	103	40	using	use	VERB
jbi-22655	103	41	the	the	DET
jbi-22655	103	42	vifcor	vifcor	NOUN
jbi-22655	103	43	function	function	NOUN
jbi-22655	103	44	of	of	ADP
jbi-22655	103	45	the	the	DET
jbi-22655	103	46	usdm	usdm	NOUN
jbi-22655	103	47	package	package	NOUN
jbi-22655	103	48	(	(	PUNCT
jbi-22655	103	49	naimi	naimi	NOUN
jbi-22655	103	50	et	et	PROPN
jbi-22655	103	51	al	al	PROPN
jbi-22655	103	52	.	.	PROPN
jbi-22655	103	53	2014	2014	NUM
jbi-22655	103	54	)	)	PUNCT
jbi-22655	103	55	.	.	PUNCT
jbi-22655	104	1	regularization	regularization	NOUN
jbi-22655	104	2	parameter	parameter	NOUN
jbi-22655	104	3	(	(	PUNCT
jbi-22655	104	4	rm).—maxent	rm).—maxent	PROPN
jbi-22655	104	5	uses	use	VERB
jbi-22655	104	6	lasso	lasso	NOUN
jbi-22655	104	7	regularization	regularization	NOUN
jbi-22655	104	8	to	to	PART
jbi-22655	104	9	constrain	constrain	VERB
jbi-22655	104	10	the	the	DET
jbi-22655	104	11	modeled	model	VERB
jbi-22655	104	12	distributions	distribution	NOUN
jbi-22655	104	13	to	to	PART
jbi-22655	104	14	lie	lie	VERB
jbi-22655	104	15	within	within	ADP
jbi-22655	104	16	a	a	DET
jbi-22655	104	17	specific	specific	ADJ
jbi-22655	104	18	interval	interval	NOUN
jbi-22655	104	19	around	around	ADP
jbi-22655	104	20	the	the	DET
jbi-22655	104	21	empirical	empirical	ADJ
jbi-22655	104	22	mean	mean	NOUN
jbi-22655	104	23	instead	instead	ADV
jbi-22655	104	24	of	of	ADP
jbi-22655	104	25	matching	match	VERB
jbi-22655	104	26	it	it	PRON
jbi-22655	104	27	exactly	exactly	ADV
jbi-22655	104	28	.	.	PUNCT
jbi-22655	105	1	this	this	DET
jbi-22655	105	2	overfitting	overfitting	NOUN
jbi-22655	105	3	can	can	AUX
jbi-22655	105	4	be	be	AUX
jbi-22655	105	5	reduced	reduce	VERB
jbi-22655	105	6	by	by	ADP
jbi-22655	105	7	specifying	specify	VERB
jbi-22655	105	8	a	a	DET
jbi-22655	105	9	rm	rm	NOUN
jbi-22655	105	10	value	value	NOUN
jbi-22655	105	11	that	that	PRON
jbi-22655	105	12	penalizes	penalize	VERB
jbi-22655	105	13	the	the	DET
jbi-22655	105	14	use	use	NOUN
jbi-22655	105	15	of	of	ADP
jbi-22655	105	16	additional	additional	ADJ
jbi-22655	105	17	parameters	parameter	NOUN
jbi-22655	105	18	(	(	PUNCT
jbi-22655	105	19	phillips	phillip	NOUN
jbi-22655	105	20	et	et	PROPN
jbi-22655	105	21	al	al	PROPN
jbi-22655	105	22	.	.	PROPN
jbi-22655	105	23	2006	2006	NUM
jbi-22655	105	24	;	;	PUNCT
jbi-22655	105	25	warren	warren	PROPN
jbi-22655	105	26	and	and	CCONJ
jbi-22655	105	27	seifert	seifert	NOUN
jbi-22655	105	28	2011	2011	NUM
jbi-22655	105	29	)	)	PUNCT
jbi-22655	105	30	.	.	PUNCT
jbi-22655	106	1	the	the	DET
jbi-22655	106	2	effect	effect	NOUN
jbi-22655	106	3	of	of	ADP
jbi-22655	106	4	this	this	DET
jbi-22655	106	5	factor	factor	NOUN
jbi-22655	106	6	was	be	AUX
jbi-22655	106	7	evaluated	evaluate	VERB
jbi-22655	106	8	by	by	ADP
jbi-22655	106	9	using	use	VERB
jbi-22655	106	10	rm	rm	PROPN
jbi-22655	106	11	values	value	NOUN
jbi-22655	106	12	of	of	ADP
jbi-22655	106	13	0.5	0.5	NUM
jbi-22655	106	14	,	,	PUNCT
jbi-22655	106	15	1	1	NUM
jbi-22655	106	16	(	(	PUNCT
jbi-22655	106	17	default	default	NOUN
jbi-22655	106	18	)	)	PUNCT
jbi-22655	106	19	,	,	PUNCT
jbi-22655	106	20	2	2	NUM
jbi-22655	106	21	,	,	PUNCT
jbi-22655	106	22	3	3	NUM
jbi-22655	106	23	,	,	PUNCT
jbi-22655	106	24	and	and	CCONJ
jbi-22655	106	25	5	5	NUM
jbi-22655	106	26	.	.	PUNCT
jbi-22655	107	1	in	in	ADP
jbi-22655	107	2	addition	addition	NOUN
jbi-22655	107	3	to	to	ADP
jbi-22655	107	4	assessing	assess	VERB
jbi-22655	107	5	the	the	DET
jbi-22655	107	6	relative	relative	ADJ
jbi-22655	107	7	contributions	contribution	NOUN
jbi-22655	107	8	of	of	ADP
jbi-22655	107	9	the	the	DET
jbi-22655	107	10	previously	previously	ADV
jbi-22655	107	11	mentioned	mention	VERB
jbi-22655	107	12	factors	factor	NOUN
jbi-22655	107	13	,	,	PUNCT
jbi-22655	107	14	we	we	PRON
jbi-22655	107	15	examined	examine	VERB
jbi-22655	107	16	the	the	DET
jbi-22655	107	17	accuracy	accuracy	NOUN
jbi-22655	107	18	of	of	ADP
jbi-22655	107	19	a	a	DET
jbi-22655	107	20	model	model	NOUN
jbi-22655	107	21	for	for	ADP
jbi-22655	107	22	each	each	DET
jbi-22655	107	23	species	specie	NOUN
jbi-22655	107	24	constructed	construct	VERB
jbi-22655	107	25	under	under	ADP
jbi-22655	107	26	a	a	DET
jbi-22655	107	27	scenario	scenario	NOUN
jbi-22655	107	28	where	where	SCONJ
jbi-22655	107	29	the	the	DET
jbi-22655	107	30	ecological	ecological	ADJ
jbi-22655	107	31	characteristics	characteristic	NOUN
jbi-22655	107	32	of	of	ADP
jbi-22655	107	33	the	the	DET
jbi-22655	107	34	species	specie	NOUN
jbi-22655	107	35	are	be	AUX
jbi-22655	107	36	well	well	ADV
jbi-22655	107	37	understood	understand	VERB
jbi-22655	107	38	(	(	PUNCT
jbi-22655	107	39	hereafter	hereafter	ADV
jbi-22655	107	40	termed	term	VERB
jbi-22655	107	41	unbiased	unbiased	ADJ
jbi-22655	107	42	model	model	NOUN
jbi-22655	107	43	)	)	PUNCT
jbi-22655	107	44	.	.	PUNCT
jbi-22655	108	1	the	the	DET
jbi-22655	108	2	considerations	consideration	NOUN
jbi-22655	108	3	for	for	ADP
jbi-22655	108	4	building	build	VERB
jbi-22655	108	5	this	this	DET
jbi-22655	108	6	model	model	NOUN
jbi-22655	108	7	included	include	VERB
jbi-22655	108	8	utilizing	utilize	VERB
jbi-22655	108	9	1000	1000	NUM
jbi-22655	108	10	occurrence	occurrence	NOUN
jbi-22655	108	11	data	datum	NOUN
jbi-22655	108	12	points	point	NOUN
jbi-22655	108	13	(	(	PUNCT
jbi-22655	108	14	instead	instead	ADV
jbi-22655	108	15	of	of	ADP
jbi-22655	108	16	100	100	NUM
jbi-22655	108	17	)	)	PUNCT
jbi-22655	108	18	sampled	sample	VERB
jbi-22655	108	19	without	without	ADP
jbi-22655	108	20	spatial	spatial	ADJ
jbi-22655	108	21	sampling	sampling	NOUN
jbi-22655	108	22	bias	bias	NOUN
jbi-22655	108	23	,	,	PUNCT
jbi-22655	108	24	using	use	VERB
jbi-22655	108	25	the	the	DET
jbi-22655	108	26	accessible	accessible	ADJ
jbi-22655	108	27	area	area	NOUN
jbi-22655	108	28	of	of	ADP
jbi-22655	108	29	the	the	DET
jbi-22655	108	30	species	specie	NOUN
jbi-22655	108	31	as	as	ADP
jbi-22655	108	32	the	the	DET
jbi-22655	108	33	calibration	calibration	NOUN
jbi-22655	108	34	area	area	NOUN
jbi-22655	108	35	,	,	PUNCT
jbi-22655	108	36	employing	employ	VERB
jbi-22655	108	37	only	only	ADV
jbi-22655	108	38	the	the	DET
jbi-22655	108	39	environmental	environmental	ADJ
jbi-22655	108	40	variables	variable	NOUN
jbi-22655	108	41	that	that	PRON
jbi-22655	108	42	precisely	precisely	ADV
jbi-22655	108	43	define	define	VERB
jbi-22655	108	44	a	a	DET
jbi-22655	108	45	species	specie	NOUN
jbi-22655	108	46	’	'	PUNCT
jbi-22655	108	47	niche	niche	NOUN
jbi-22655	108	48	as	as	ADP
jbi-22655	108	49	predictors	predictor	NOUN
jbi-22655	108	50	,	,	PUNCT
jbi-22655	108	51	and	and	CCONJ
jbi-22655	108	52	evaluating	evaluate	VERB
jbi-22655	108	53	the	the	DET
jbi-22655	108	54	regularization	regularization	NOUN
jbi-22655	108	55	parameter	parameter	NOUN
jbi-22655	108	56	with	with	ADP
jbi-22655	108	57	the	the	DET
jbi-22655	108	58	same	same	ADJ
jbi-22655	108	59	5	5	NUM
jbi-22655	108	60	previously	previously	ADV
jbi-22655	108	61	defined	define	VERB
jbi-22655	108	62	values	value	NOUN
jbi-22655	108	63	.	.	PUNCT
jbi-22655	109	1	model	model	NOUN
jbi-22655	109	2	performance	performance	NOUN
jbi-22655	109	3	model	model	NOUN
jbi-22655	109	4	performance	performance	NOUN
jbi-22655	109	5	was	be	AUX
jbi-22655	109	6	evaluated	evaluate	VERB
jbi-22655	109	7	using	use	VERB
jbi-22655	109	8	both	both	CCONJ
jbi-22655	109	9	functional	functional	ADJ
jbi-22655	109	10	and	and	CCONJ
jbi-22655	109	11	discrimination	discrimination	NOUN
jbi-22655	109	12	accuracy	accuracy	NOUN
jbi-22655	109	13	(	(	PUNCT
jbi-22655	109	14	warren	warren	PROPN
jbi-22655	109	15	et	et	PROPN
jbi-22655	109	16	al	al	PROPN
jbi-22655	109	17	.	.	PROPN
jbi-22655	109	18	2020	2020	NUM
jbi-22655	109	19	)	)	PUNCT
jbi-22655	109	20	.	.	PUNCT
jbi-22655	110	1	functional	functional	ADJ
jbi-22655	110	2	accuracy	accuracy	NOUN
jbi-22655	110	3	(	(	PUNCT
jbi-22655	110	4	true	true	ADJ
jbi-22655	110	5	model	model	NOUN
jbi-22655	110	6	accuracy	accuracy	NOUN
jbi-22655	110	7	)	)	PUNCT
jbi-22655	110	8	was	be	AUX
jbi-22655	110	9	calculated	calculate	VERB
jbi-22655	110	10	as	as	ADP
jbi-22655	110	11	the	the	DET
jbi-22655	110	12	spearman	spearman	NOUN
jbi-22655	110	13	rank	rank	NOUN
jbi-22655	110	14	correlation	correlation	NOUN
jbi-22655	110	15	between	between	ADP
jbi-22655	110	16	the	the	DET
jbi-22655	110	17	true	true	ADJ
jbi-22655	110	18	occurrence	occurrence	NOUN
jbi-22655	110	19	probability	probability	NOUN
jbi-22655	110	20	and	and	CCONJ
jbi-22655	110	21	the	the	DET
jbi-22655	110	22	occurrence	occurrence	NOUN
jbi-22655	110	23	probability	probability	NOUN
jbi-22655	110	24	inferred	infer	VERB
jbi-22655	110	25	from	from	ADP
jbi-22655	110	26	maxent	maxent	NOUN
jbi-22655	110	27	(	(	PUNCT
jbi-22655	110	28	with	with	ADP
jbi-22655	110	29	the	the	DET
jbi-22655	110	30	complementary	complementary	ADJ
jbi-22655	110	31	log	log	NOUN
jbi-22655	110	32	-	-	PUNCT
jbi-22655	110	33	log	log	NOUN
jbi-22655	110	34	(	(	PUNCT
jbi-22655	110	35	cloglog	cloglog	NOUN
jbi-22655	110	36	)	)	PUNCT
jbi-22655	110	37	transformation	transformation	NOUN
jbi-22655	110	38	)	)	PUNCT
jbi-22655	110	39	across	across	ADP
jbi-22655	110	40	the	the	DET
jbi-22655	110	41	accessible	accessible	ADJ
jbi-22655	110	42	area	area	NOUN
jbi-22655	110	43	.	.	PUNCT
jbi-22655	111	1	for	for	ADP
jbi-22655	111	2	large	large	ADJ
jbi-22655	111	3	areas	area	NOUN
jbi-22655	111	4	,	,	PUNCT
jbi-22655	111	5	25,000	25,000	NUM
jbi-22655	111	6	cells	cell	NOUN
jbi-22655	111	7	were	be	AUX
jbi-22655	111	8	selected	select	VERB
jbi-22655	111	9	at	at	ADP
jbi-22655	111	10	random	random	ADJ
jbi-22655	111	11	due	due	ADP
jbi-22655	111	12	to	to	ADP
jbi-22655	111	13	computational	computational	ADJ
jbi-22655	111	14	constraints	constraint	NOUN
jbi-22655	111	15	.	.	PUNCT
jbi-22655	112	1	preliminary	preliminary	ADJ
jbi-22655	112	2	trials	trial	NOUN
jbi-22655	112	3	showed	show	VERB
jbi-22655	112	4	that	that	SCONJ
jbi-22655	112	5	using	use	VERB
jbi-22655	112	6	25,000	25,000	NUM
jbi-22655	112	7	randomly	randomly	ADV
jbi-22655	112	8	selected	select	VERB
jbi-22655	112	9	cells	cell	NOUN
jbi-22655	112	10	produced	produce	VERB
jbi-22655	112	11	results	result	NOUN
jbi-22655	112	12	very	very	ADV
jbi-22655	112	13	close	close	ADV
jbi-22655	112	14	to	to	ADP
jbi-22655	112	15	those	those	PRON
jbi-22655	112	16	obtained	obtain	VERB
jbi-22655	112	17	using	use	VERB
jbi-22655	112	18	the	the	DET
jbi-22655	112	19	entire	entire	ADJ
jbi-22655	112	20	area	area	NOUN
jbi-22655	112	21	,	,	PUNCT
jbi-22655	112	22	with	with	ADP
jbi-22655	112	23	a	a	DET
jbi-22655	112	24	pearson	pearson	NOUN
jbi-22655	112	25	correlation	correlation	NOUN
jbi-22655	112	26	of	of	ADP
jbi-22655	112	27	0.997	0.997	NUM
jbi-22655	112	28	between	between	ADP
jbi-22655	112	29	values	value	NOUN
jbi-22655	112	30	from	from	ADP
jbi-22655	112	31	the	the	DET
jbi-22655	112	32	whole	whole	ADJ
jbi-22655	112	33	area	area	NOUN
jbi-22655	112	34	and	and	CCONJ
jbi-22655	112	35	those	those	PRON
jbi-22655	112	36	from	from	ADP
jbi-22655	112	37	the	the	DET
jbi-22655	112	38	25,000	25,000	NUM
jbi-22655	112	39	randomly	randomly	ADV
jbi-22655	112	40	selected	select	VERB
jbi-22655	112	41	cells	cell	NOUN
jbi-22655	112	42	.	.	PUNCT
jbi-22655	113	1	discrimination	discrimination	NOUN
jbi-22655	113	2	accuracy	accuracy	NOUN
jbi-22655	113	3	was	be	AUX
jbi-22655	113	4	calculated	calculate	VERB
jbi-22655	113	5	using	use	VERB
jbi-22655	113	6	cross	cross	NOUN
jbi-22655	113	7	-	-	NOUN
jbi-22655	113	8	validation	validation	ADJ
jbi-22655	113	9	,	,	PUNCT
jbi-22655	113	10	where	where	SCONJ
jbi-22655	113	11	the	the	DET
jbi-22655	113	12	data	datum	NOUN
jbi-22655	113	13	were	be	AUX
jbi-22655	113	14	divided	divide	VERB
jbi-22655	113	15	into	into	ADP
jbi-22655	113	16	four	four	NUM
jbi-22655	113	17	groups	group	NOUN
jbi-22655	113	18	according	accord	VERB
jbi-22655	113	19	to	to	ADP
jbi-22655	113	20	two	two	NUM
jbi-22655	113	21	criteria	criterion	NOUN
jbi-22655	113	22	:	:	PUNCT
jbi-22655	113	23	randomly	randomly	ADV
jbi-22655	113	24	and	and	CCONJ
jbi-22655	113	25	by	by	ADP
jbi-22655	113	26	geographic	geographic	ADJ
jbi-22655	113	27	blocks	block	NOUN
jbi-22655	113	28	,	,	PUNCT
jbi-22655	113	29	using	use	VERB
jbi-22655	113	30	the	the	DET
jbi-22655	113	31	enmeval	enmeval	NOUN
jbi-22655	113	32	r	r	NOUN
jbi-22655	113	33	package	package	NOUN
jbi-22655	113	34	(	(	PUNCT
jbi-22655	113	35	kass	kass	PROPN
jbi-22655	113	36	et	et	PROPN
jbi-22655	113	37	al	al	PROPN
jbi-22655	113	38	.	.	PROPN
jbi-22655	113	39	2021	2021	NUM
jbi-22655	113	40	)	)	PUNCT
jbi-22655	113	41	.	.	PUNCT
jbi-22655	114	1	the	the	DET
jbi-22655	114	2	boyce	boyce	PROPN
jbi-22655	114	3	index	index	NOUN
jbi-22655	114	4	was	be	AUX
jbi-22655	114	5	used	use	VERB
jbi-22655	114	6	as	as	ADP
jbi-22655	114	7	the	the	DET
jbi-22655	114	8	evaluation	evaluation	NOUN
jbi-22655	114	9	metric	metric	NOUN
jbi-22655	114	10	(	(	PUNCT
jbi-22655	114	11	hirzel	hirzel	PROPN
jbi-22655	114	12	et	et	PROPN
jbi-22655	114	13	al	al	PROPN
jbi-22655	114	14	.	.	PROPN
jbi-22655	114	15	2006	2006	NUM
jbi-22655	114	16	)	)	PUNCT
jbi-22655	114	17	,	,	PUNCT
jbi-22655	114	18	calculated	calculate	VERB
jbi-22655	114	19	for	for	ADP
jbi-22655	114	20	each	each	PRON
jbi-22655	114	21	of	of	ADP
jbi-22655	114	22	the	the	DET
jbi-22655	114	23	four	four	NUM
jbi-22655	114	24	groups	group	NOUN
jbi-22655	114	25	.	.	PUNCT
jbi-22655	115	1	the	the	DET
jbi-22655	115	2	average	average	ADJ
jbi-22655	115	3	boyce	boyce	PROPN
jbi-22655	115	4	index	index	NOUN
jbi-22655	115	5	across	across	ADP
jbi-22655	115	6	these	these	DET
jbi-22655	115	7	groups	group	NOUN
jbi-22655	115	8	was	be	AUX
jbi-22655	115	9	used	use	VERB
jbi-22655	115	10	as	as	ADP
jbi-22655	115	11	the	the	DET
jbi-22655	115	12	overall	overall	ADJ
jbi-22655	115	13	measure	measure	NOUN
jbi-22655	115	14	of	of	ADP
jbi-22655	115	15	discrimination	discrimination	NOUN
jbi-22655	115	16	accuracy	accuracy	NOUN
jbi-22655	115	17	.	.	PUNCT
jbi-22655	116	1	the	the	DET
jbi-22655	116	2	boyce	boyce	PROPN
jbi-22655	116	3	index	index	NOUN
jbi-22655	116	4	was	be	AUX
jbi-22655	116	5	selected	select	VERB
jbi-22655	116	6	as	as	ADP
jbi-22655	116	7	an	an	DET
jbi-22655	116	8	additional	additional	ADJ
jbi-22655	116	9	metric	metric	NOUN
jbi-22655	116	10	to	to	PART
jbi-22655	116	11	assess	assess	VERB
jbi-22655	116	12	whether	whether	SCONJ
jbi-22655	116	13	it	it	PRON
jbi-22655	116	14	is	be	AUX
jbi-22655	116	15	possible	possible	ADJ
jbi-22655	116	16	to	to	PART
jbi-22655	116	17	identify	identify	VERB
jbi-22655	116	18	the	the	DET
jbi-22655	116	19	best	good	ADJ
jbi-22655	116	20	models	model	NOUN
jbi-22655	116	21	based	base	VERB
jbi-22655	116	22	on	on	ADP
jbi-22655	116	23	discrimination	discrimination	NOUN
jbi-22655	116	24	accuracy	accuracy	NOUN
jbi-22655	116	25	,	,	PUNCT
jbi-22655	116	26	particularly	particularly	ADV
jbi-22655	116	27	when	when	SCONJ
jbi-22655	116	28	considering	consider	VERB
jbi-22655	116	29	variations	variation	NOUN
jbi-22655	116	30	in	in	ADP
jbi-22655	116	31	the	the	DET
jbi-22655	116	32	datasets	dataset	NOUN
jbi-22655	116	33	that	that	PRON
jbi-22655	116	34	might	might	AUX
jbi-22655	116	35	not	not	PART
jbi-22655	116	36	be	be	AUX
jbi-22655	116	37	perfectly	perfectly	ADV
jbi-22655	116	38	aligned	align	VERB
jbi-22655	116	39	with	with	ADP
jbi-22655	116	40	the	the	DET
jbi-22655	116	41	“	"	PUNCT
jbi-22655	116	42	known	known	ADJ
jbi-22655	116	43	”	"	PUNCT
jbi-22655	116	44	truth	truth	NOUN
jbi-22655	116	45	.	.	PUNCT
jbi-22655	117	1	while	while	SCONJ
jbi-22655	117	2	we	we	PRON
jbi-22655	117	3	have	have	VERB
jbi-22655	117	4	a	a	DET
jbi-22655	117	5	‘	'	PUNCT
jbi-22655	117	6	true	true	ADJ
jbi-22655	117	7	’	'	PUNCT
jbi-22655	117	8	model	model	NOUN
jbi-22655	117	9	,	,	PUNCT
jbi-22655	117	10	the	the	DET
jbi-22655	117	11	use	use	NOUN
jbi-22655	117	12	of	of	ADP
jbi-22655	117	13	the	the	DET
jbi-22655	117	14	boyce	boyce	PROPN
jbi-22655	117	15	index	index	NOUN
jbi-22655	117	16	allows	allow	VERB
jbi-22655	117	17	us	we	PRON
jbi-22655	117	18	to	to	PART
jbi-22655	117	19	evaluate	evaluate	VERB
jbi-22655	117	20	how	how	SCONJ
jbi-22655	117	21	models	model	NOUN
jbi-22655	117	22	perform	perform	VERB
jbi-22655	117	23	in	in	ADP
jbi-22655	117	24	a	a	DET
jbi-22655	117	25	comparative	comparative	ADJ
jbi-22655	117	26	context	context	NOUN
jbi-22655	117	27	,	,	PUNCT
jbi-22655	117	28	offering	offer	VERB
jbi-22655	117	29	an	an	DET
jbi-22655	117	30	additional	additional	ADJ
jbi-22655	117	31	perspective	perspective	NOUN
jbi-22655	117	32	on	on	ADP
jbi-22655	117	33	model	model	NOUN
jbi-22655	117	34	performance	performance	NOUN
jbi-22655	117	35	in	in	ADP
jbi-22655	117	36	scenarios	scenario	NOUN
jbi-22655	117	37	that	that	PRON
jbi-22655	117	38	simulate	simulate	VERB
jbi-22655	117	39	real	real	ADJ
jbi-22655	117	40	-	-	PUNCT
jbi-22655	117	41	world	world	NOUN
jbi-22655	117	42	conditions	condition	NOUN
jbi-22655	117	43	.	.	PUNCT
jbi-22655	118	1	data	datum	NOUN
jbi-22655	118	2	analysis	analysis	NOUN
jbi-22655	118	3	we	we	PRON
jbi-22655	118	4	chose	choose	VERB
jbi-22655	118	5	not	not	PART
jbi-22655	118	6	to	to	PART
jbi-22655	118	7	rely	rely	VERB
jbi-22655	118	8	on	on	ADP
jbi-22655	118	9	p	p	NOUN
jbi-22655	118	10	-	-	PUNCT
jbi-22655	118	11	values	value	NOUN
jbi-22655	118	12	to	to	PART
jbi-22655	118	13	evaluate	evaluate	VERB
jbi-22655	118	14	the	the	DET
jbi-22655	118	15	significance	significance	NOUN
jbi-22655	118	16	of	of	ADP
jbi-22655	118	17	our	our	PRON
jbi-22655	118	18	findings	finding	NOUN
jbi-22655	118	19	due	due	ADP
jbi-22655	118	20	to	to	ADP
jbi-22655	118	21	well	well	ADV
jbi-22655	118	22	-	-	PUNCT
jbi-22655	118	23	documented	document	VERB
jbi-22655	118	24	criticisms	criticism	NOUN
jbi-22655	118	25	of	of	ADP
jbi-22655	118	26	their	their	PRON
jbi-22655	118	27	use	use	NOUN
jbi-22655	118	28	(	(	PUNCT
jbi-22655	118	29	hurlbert	hurlbert	NOUN
jbi-22655	118	30	et	et	PROPN
jbi-22655	118	31	al	al	PROPN
jbi-22655	118	32	.	.	PROPN
jbi-22655	118	33	2019	2019	NUM
jbi-22655	118	34	)	)	PUNCT
jbi-22655	118	35	and	and	CCONJ
jbi-22655	118	36	their	their	PRON
jbi-22655	118	37	inappropriateness	inappropriateness	NOUN
jbi-22655	118	38	in	in	ADP
jbi-22655	118	39	the	the	DET
jbi-22655	118	40	context	context	NOUN
jbi-22655	118	41	of	of	ADP
jbi-22655	118	42	simulation	simulation	NOUN
jbi-22655	118	43	studies	study	NOUN
jbi-22655	118	44	(	(	PUNCT
jbi-22655	118	45	white	white	PROPN
jbi-22655	118	46	et	et	PROPN
jbi-22655	118	47	al	al	PROPN
jbi-22655	118	48	.	.	PROPN
jbi-22655	118	49	2014	2014	NUM
jbi-22655	118	50	)	)	PUNCT
jbi-22655	118	51	.	.	PUNCT
jbi-22655	119	1	instead	instead	ADV
jbi-22655	119	2	,	,	PUNCT
jbi-22655	119	3	we	we	PRON
jbi-22655	119	4	adopted	adopt	VERB
jbi-22655	119	5	an	an	DET
jbi-22655	119	6	approach	approach	NOUN
jbi-22655	119	7	that	that	PRON
jbi-22655	119	8	focuses	focus	VERB
jbi-22655	119	9	on	on	ADP
jbi-22655	119	10	the	the	DET
jbi-22655	119	11	relative	relative	ADJ
jbi-22655	119	12	contributions	contribution	NOUN
jbi-22655	119	13	and	and	CCONJ
jbi-22655	119	14	relationships	relationship	NOUN
jbi-22655	119	15	among	among	ADP
jbi-22655	119	16	the	the	DET
jbi-22655	119	17	examined	examine	VERB
jbi-22655	119	18	factors	factor	NOUN
jbi-22655	119	19	through	through	ADP
jbi-22655	119	20	linear	linear	ADJ
jbi-22655	119	21	models	model	NOUN
jbi-22655	119	22	,	,	PUNCT
jbi-22655	119	23	utilizing	utilize	VERB
jbi-22655	119	24	the	the	DET
jbi-22655	119	25	lmg	lmg	NOUN
jbi-22655	119	26	method	method	NOUN
jbi-22655	119	27	implemented	implement	VERB
jbi-22655	119	28	in	in	ADP
jbi-22655	119	29	the	the	DET
jbi-22655	119	30	relaimpo	relaimpo	NOUN
jbi-22655	119	31	r	r	NOUN
jbi-22655	119	32	package	package	NOUN
jbi-22655	119	33	.	.	PUNCT
jbi-22655	120	1	this	this	DET
jbi-22655	120	2	method	method	NOUN
jbi-22655	120	3	is	be	AUX
jbi-22655	120	4	based	base	VERB
jbi-22655	120	5	on	on	ADP
jbi-22655	120	6	sequential	sequential	ADJ
jbi-22655	120	7	r2	r2	NOUN
jbi-22655	120	8	and	and	CCONJ
jbi-22655	120	9	addresses	address	VERB
jbi-22655	120	10	the	the	DET
jbi-22655	120	11	dependency	dependency	NOUN
jbi-22655	120	12	of	of	ADP
jbi-22655	120	13	regressor	regressor	NOUN
jbi-22655	120	14	orderings	ordering	NOUN
jbi-22655	120	15	by	by	ADP
jbi-22655	120	16	averaging	average	VERB
jbi-22655	120	17	over	over	ADP
jbi-22655	120	18	these	these	DET
jbi-22655	120	19	orderings	ordering	NOUN
jbi-22655	120	20	using	use	VERB
jbi-22655	120	21	simple	simple	ADJ
jbi-22655	120	22	unweighted	unweighted	ADJ
jbi-22655	120	23	averages	average	NOUN
jbi-22655	120	24	(	(	PUNCT
jbi-22655	120	25	grömping	grömping	NOUN
jbi-22655	120	26	2006	2006	NUM
jbi-22655	120	27	)	)	PUNCT
jbi-22655	120	28	.	.	PUNCT
jbi-22655	121	1	the	the	DET
jbi-22655	121	2	response	response	NOUN
jbi-22655	121	3	variable	variable	NOUN
jbi-22655	121	4	was	be	AUX
jbi-22655	121	5	the	the	DET
jbi-22655	121	6	functional	functional	ADJ
jbi-22655	121	7	accuracy	accuracy	NOUN
jbi-22655	121	8	of	of	ADP
jbi-22655	121	9	sdm	sdm	NOUN
jbi-22655	121	10	models	model	NOUN
jbi-22655	121	11	,	,	PUNCT
jbi-22655	121	12	and	and	CCONJ
jbi-22655	121	13	the	the	DET
jbi-22655	121	14	explanatory	explanatory	ADJ
jbi-22655	121	15	variables	variable	NOUN
jbi-22655	121	16	were	be	AUX
jbi-22655	121	17	the	the	DET
jbi-22655	121	18	extension	extension	NOUN
jbi-22655	121	19	of	of	ADP
jbi-22655	121	20	the	the	DET
jbi-22655	121	21	calibration	calibration	NOUN
jbi-22655	121	22	area	area	NOUN
jbi-22655	121	23	,	,	PUNCT
jbi-22655	121	24	the	the	DET
jbi-22655	121	25	spatial	spatial	ADJ
jbi-22655	121	26	filtering	filtering	NOUN
jbi-22655	121	27	of	of	ADP
jbi-22655	121	28	occurrence	occurrence	NOUN
jbi-22655	121	29	records	record	NOUN
jbi-22655	121	30	,	,	PUNCT
jbi-22655	121	31	the	the	DET
jbi-22655	121	32	predictor	predictor	NOUN
jbi-22655	121	33	collinearity	collinearity	NOUN
jbi-22655	121	34	,	,	PUNCT
jbi-22655	121	35	and	and	CCONJ
jbi-22655	121	36	the	the	DET
jbi-22655	121	37	regularization	regularization	NOUN
jbi-22655	121	38	parameter	parameter	NOUN
jbi-22655	121	39	β	β	PROPN
jbi-22655	121	40	treated	treat	VERB
jbi-22655	121	41	as	as	ADP
jbi-22655	121	42	categorical	categorical	ADJ
jbi-22655	121	43	variables	variable	NOUN
jbi-22655	121	44	.	.	PUNCT
jbi-22655	122	1	this	this	DET
jbi-22655	122	2	approach	approach	NOUN
jbi-22655	122	3	allowed	allow	VERB
jbi-22655	122	4	us	we	PRON
jbi-22655	122	5	to	to	PART
jbi-22655	122	6	analyze	analyze	VERB
jbi-22655	122	7	the	the	DET
jbi-22655	122	8	variability	variability	NOUN
jbi-22655	122	9	and	and	CCONJ
jbi-22655	122	10	contributions	contribution	NOUN
jbi-22655	122	11	of	of	ADP
jbi-22655	122	12	different	different	ADJ
jbi-22655	122	13	factors	factor	NOUN
jbi-22655	122	14	influencing	influence	VERB
jbi-22655	122	15	model	model	NOUN
jbi-22655	122	16	performance	performance	NOUN
jbi-22655	122	17	more	more	ADV
jbi-22655	122	18	robustly	robustly	ADV
jbi-22655	122	19	,	,	PUNCT
jbi-22655	122	20	rather	rather	ADV
jbi-22655	122	21	than	than	ADP
jbi-22655	122	22	relying	rely	VERB
jbi-22655	122	23	on	on	ADP
jbi-22655	122	24	traditional	traditional	ADJ
jbi-22655	122	25	hypothesis	hypothesis	NOUN
jbi-22655	122	26	testing	testing	NOUN
jbi-22655	122	27	with	with	ADP
jbi-22655	122	28	p	p	NOUN
jbi-22655	122	29	-	-	PUNCT
jbi-22655	122	30	values	value	NOUN
jbi-22655	122	31	.	.	PUNCT
jbi-22655	123	1	additionally	additionally	ADV
jbi-22655	123	2	,	,	PUNCT
jbi-22655	123	3	we	we	PRON
jbi-22655	123	4	evaluated	evaluate	VERB
jbi-22655	123	5	the	the	DET
jbi-22655	123	6	correlation	correlation	NOUN
jbi-22655	123	7	between	between	ADP
jbi-22655	123	8	functional	functional	ADJ
jbi-22655	123	9	and	and	CCONJ
jbi-22655	123	10	discrimination	discrimination	NOUN
jbi-22655	123	11	accuracy	accuracy	NOUN
jbi-22655	123	12	using	use	VERB
jbi-22655	123	13	pearson	pearson	NOUN
jbi-22655	123	14	correlation	correlation	NOUN
jbi-22655	123	15	to	to	PART
jbi-22655	123	16	assess	assess	VERB
jbi-22655	123	17	the	the	DET
jbi-22655	123	18	capacity	capacity	NOUN
jbi-22655	123	19	of	of	ADP
jbi-22655	123	20	discrimination	discrimination	NOUN
jbi-22655	123	21	metrics	metric	NOUN
jbi-22655	123	22	to	to	PART
jbi-22655	123	23	select	select	VERB
jbi-22655	123	24	the	the	DET
jbi-22655	123	25	best	well	ADV
jbi-22655	123	26	-	-	PUNCT
jbi-22655	123	27	performing	perform	VERB
jbi-22655	123	28	models	model	NOUN
jbi-22655	123	29	using	use	VERB
jbi-22655	123	30	withheld	withhold	VERB
jbi-22655	123	31	data	datum	NOUN
jbi-22655	123	32	.	.	PUNCT
jbi-22655	124	1	these	these	DET
jbi-22655	124	2	analyses	analysis	NOUN
jbi-22655	124	3	were	be	AUX
jbi-22655	124	4	performed	perform	VERB
jbi-22655	124	5	individually	individually	ADV
jbi-22655	124	6	for	for	ADP
jbi-22655	124	7	each	each	DET
jbi-22655	124	8	species	specie	NOUN
jbi-22655	124	9	,	,	PUNCT
jbi-22655	124	10	given	give	VERB
jbi-22655	124	11	that	that	SCONJ
jbi-22655	124	12	we	we	PRON
jbi-22655	124	13	do	do	AUX
jbi-22655	124	14	not	not	PART
jbi-22655	124	15	expect	expect	VERB
jbi-22655	124	16	all	all	DET
jbi-22655	124	17	species	specie	NOUN
jbi-22655	124	18	to	to	PART
jbi-22655	124	19	be	be	AUX
jbi-22655	124	20	affected	affect	VERB
jbi-22655	124	21	by	by	ADP
jbi-22655	124	22	the	the	DET
jbi-22655	124	23	evaluated	evaluate	VERB
jbi-22655	124	24	factors	factor	NOUN
jbi-22655	124	25	in	in	ADP
jbi-22655	124	26	the	the	DET
jbi-22655	124	27	same	same	ADJ
jbi-22655	124	28	way	way	NOUN
jbi-22655	124	29	;	;	PUNCT
jbi-22655	124	30	some	some	PRON
jbi-22655	124	31	may	may	AUX
jbi-22655	124	32	experience	experience	VERB
jbi-22655	124	33	more	more	ADJ
jbi-22655	124	34	pronounced	pronounced	ADJ
jbi-22655	124	35	sampling	sampling	NOUN
jbi-22655	124	36	bias	bias	NOUN
jbi-22655	124	37	,	,	PUNCT
jbi-22655	124	38	others	other	NOUN
jbi-22655	124	39	may	may	AUX
jbi-22655	124	40	have	have	VERB
jbi-22655	124	41	smaller	small	ADJ
jbi-22655	124	42	accessible	accessible	ADJ
jbi-22655	124	43	areas	area	NOUN
jbi-22655	124	44	,	,	PUNCT
jbi-22655	124	45	etc	etc	X
jbi-22655	124	46	.	.	X
jbi-22655	124	47	results	result	VERB
jbi-22655	124	48	overall	overall	ADV
jbi-22655	124	49	,	,	PUNCT
jbi-22655	124	50	the	the	DET
jbi-22655	124	51	unbiased	unbiased	ADJ
jbi-22655	124	52	models	model	NOUN
jbi-22655	124	53	exhibited	exhibit	VERB
jbi-22655	124	54	high	high	ADJ
jbi-22655	124	55	accuracy	accuracy	NOUN
jbi-22655	124	56	within	within	ADP
jbi-22655	124	57	the	the	DET
jbi-22655	124	58	species	specie	NOUN
jbi-22655	124	59	accessible	accessible	ADJ
jbi-22655	124	60	area	area	NOUN
jbi-22655	124	61	,	,	PUNCT
jbi-22655	124	62	with	with	ADP
jbi-22655	124	63	80	80	NUM
jbi-22655	124	64	%	%	NOUN
jbi-22655	124	65	of	of	ADP
jbi-22655	124	66	these	these	DET
jbi-22655	124	67	models	model	NOUN
jbi-22655	124	68	showing	show	VERB
jbi-22655	124	69	functional	functional	ADJ
jbi-22655	124	70	accuracy	accuracy	NOUN
jbi-22655	124	71	values	value	NOUN
jbi-22655	124	72	luna	luna	PROPN
jbi-22655	124	73	et	et	PROPN
jbi-22655	124	74	al	al	PROPN
jbi-22655	124	75	.	.	PROPN
jbi-22655	124	76	–	–	PUNCT
jbi-22655	124	77	species	species	NOUN
jbi-22655	124	78	distribution	distribution	NOUN
jbi-22655	124	79	model	model	NOUN
jbi-22655	124	80	accuracy	accuracy	NOUN
jbi-22655	124	81	influenced	influence	VERB
jbi-22655	124	82	by	by	ADP
jbi-22655	124	83	calibration	calibration	NOUN
jbi-22655	124	84	area	area	NOUN
jbi-22655	124	85	48	48	NUM
jbi-22655	124	86	exceeding	exceed	VERB
jbi-22655	124	87	0.9	0.9	NUM
jbi-22655	124	88	.	.	PUNCT
jbi-22655	125	1	the	the	DET
jbi-22655	125	2	median	median	ADJ
jbi-22655	125	3	functional	functional	ADJ
jbi-22655	125	4	accuracy	accuracy	NOUN
jbi-22655	125	5	of	of	ADP
jbi-22655	125	6	these	these	DET
jbi-22655	125	7	models	model	NOUN
jbi-22655	125	8	was	be	AUX
jbi-22655	125	9	high	high	ADJ
jbi-22655	125	10	,	,	PUNCT
jbi-22655	125	11	with	with	ADP
jbi-22655	125	12	a	a	DET
jbi-22655	125	13	spearman	spearman	NOUN
jbi-22655	125	14	correlation	correlation	NOUN
jbi-22655	125	15	of	of	ADP
jbi-22655	125	16	0.968	0.968	NUM
jbi-22655	125	17	,	,	PUNCT
jbi-22655	125	18	and	and	CCONJ
jbi-22655	125	19	the	the	DET
jbi-22655	125	20	range	range	NOUN
jbi-22655	125	21	of	of	ADP
jbi-22655	125	22	accuracy	accuracy	NOUN
jbi-22655	125	23	scores	score	NOUN
jbi-22655	125	24	varied	varied	ADJ
jbi-22655	125	25	from	from	ADP
jbi-22655	125	26	0.560	0.560	NUM
jbi-22655	125	27	to	to	ADP
jbi-22655	125	28	0.999	0.999	NUM
jbi-22655	125	29	(	(	PUNCT
jbi-22655	125	30	fig	fig	NOUN
jbi-22655	125	31	.	.	PUNCT
jbi-22655	126	1	1	1	NUM
jbi-22655	126	2	)	)	PUNCT
jbi-22655	126	3	.	.	PUNCT
jbi-22655	127	1	in	in	ADP
jbi-22655	127	2	contrast	contrast	NOUN
jbi-22655	127	3	,	,	PUNCT
jbi-22655	127	4	the	the	DET
jbi-22655	127	5	rest	rest	NOUN
jbi-22655	127	6	of	of	ADP
jbi-22655	127	7	the	the	DET
jbi-22655	127	8	models	model	NOUN
jbi-22655	127	9	demonstrated	demonstrate	VERB
jbi-22655	127	10	more	more	ADJ
jbi-22655	127	11	variable	variable	ADJ
jbi-22655	127	12	performance	performance	NOUN
jbi-22655	127	13	within	within	ADP
jbi-22655	127	14	and	and	CCONJ
jbi-22655	127	15	across	across	ADP
jbi-22655	127	16	species	specie	NOUN
jbi-22655	127	17	.	.	PUNCT
jbi-22655	128	1	the	the	DET
jbi-22655	128	2	maximum	maximum	ADJ
jbi-22655	128	3	functional	functional	ADJ
jbi-22655	128	4	accuracy	accuracy	NOUN
jbi-22655	128	5	across	across	ADP
jbi-22655	128	6	species	specie	NOUN
jbi-22655	128	7	ranged	range	VERB
jbi-22655	128	8	from	from	ADP
jbi-22655	128	9	0.178	0.178	NUM
jbi-22655	128	10	to	to	ADP
jbi-22655	128	11	0.996	0.996	NUM
jbi-22655	128	12	,	,	PUNCT
jbi-22655	128	13	with	with	ADP
jbi-22655	128	14	a	a	DET
jbi-22655	128	15	median	median	NOUN
jbi-22655	128	16	of	of	ADP
jbi-22655	128	17	0.902	0.902	NUM
jbi-22655	128	18	.	.	PUNCT
jbi-22655	129	1	the	the	DET
jbi-22655	129	2	minimum	minimum	ADJ
jbi-22655	129	3	functional	functional	ADJ
jbi-22655	129	4	accuracy	accuracy	NOUN
jbi-22655	129	5	across	across	ADP
jbi-22655	129	6	species	specie	NOUN
jbi-22655	129	7	ranged	range	VERB
jbi-22655	129	8	from	from	ADP
jbi-22655	129	9	-0.959	-0.959	NOUN
jbi-22655	129	10	to	to	ADP
jbi-22655	129	11	0.699	0.699	NUM
jbi-22655	129	12	,	,	PUNCT
jbi-22655	129	13	with	with	ADP
jbi-22655	129	14	a	a	DET
jbi-22655	129	15	median	median	NOUN
jbi-22655	129	16	of	of	ADP
jbi-22655	129	17	-0.256	-0.256	PROPN
jbi-22655	129	18	.	.	PUNCT
jbi-22655	130	1	this	this	DET
jbi-22655	130	2	considerable	considerable	ADJ
jbi-22655	130	3	variability	variability	NOUN
jbi-22655	130	4	in	in	ADP
jbi-22655	130	5	accuracy	accuracy	NOUN
jbi-22655	130	6	was	be	AUX
jbi-22655	130	7	also	also	ADV
jbi-22655	130	8	reflected	reflect	VERB
jbi-22655	130	9	in	in	ADP
jbi-22655	130	10	the	the	DET
jbi-22655	130	11	range	range	NOUN
jbi-22655	130	12	of	of	ADP
jbi-22655	130	13	functional	functional	ADJ
jbi-22655	130	14	accuracy	accuracy	NOUN
jbi-22655	130	15	values	value	NOUN
jbi-22655	130	16	within	within	ADP
jbi-22655	130	17	species	specie	NOUN
jbi-22655	130	18	(	(	PUNCT
jbi-22655	130	19	i.e.	i.e.	X
jbi-22655	130	20	the	the	DET
jbi-22655	130	21	difference	difference	NOUN
jbi-22655	130	22	between	between	ADP
jbi-22655	130	23	the	the	DET
jbi-22655	130	24	maximum	maximum	ADJ
jbi-22655	130	25	and	and	CCONJ
jbi-22655	130	26	minimum	minimum	ADJ
jbi-22655	130	27	value	value	NOUN
jbi-22655	130	28	for	for	ADP
jbi-22655	130	29	each	each	DET
jbi-22655	130	30	species	specie	NOUN
jbi-22655	130	31	)	)	PUNCT
jbi-22655	130	32	,	,	PUNCT
jbi-22655	130	33	showing	show	VERB
jbi-22655	130	34	values	value	NOUN
jbi-22655	130	35	from	from	ADP
jbi-22655	130	36	0.291	0.291	NUM
jbi-22655	130	37	to	to	ADP
jbi-22655	130	38	1.87	1.87	NUM
jbi-22655	130	39	,	,	PUNCT
jbi-22655	130	40	with	with	ADP
jbi-22655	130	41	a	a	DET
jbi-22655	130	42	median	median	NOUN
jbi-22655	130	43	of	of	ADP
jbi-22655	130	44	1.045	1.045	NUM
jbi-22655	130	45	.	.	PUNCT
jbi-22655	131	1	overall	overall	ADJ
jbi-22655	131	2	,	,	PUNCT
jbi-22655	131	3	these	these	DET
jbi-22655	131	4	findings	finding	NOUN
jbi-22655	131	5	highlight	highlight	VERB
jbi-22655	131	6	the	the	DET
jbi-22655	131	7	considerable	considerable	ADJ
jbi-22655	131	8	range	range	NOUN
jbi-22655	131	9	in	in	ADP
jbi-22655	131	10	model	model	NOUN
jbi-22655	131	11	accuracy	accuracy	NOUN
jbi-22655	131	12	between	between	ADP
jbi-22655	131	13	species	specie	NOUN
jbi-22655	131	14	.	.	PUNCT
jbi-22655	132	1	among	among	ADP
jbi-22655	132	2	the	the	DET
jbi-22655	132	3	analyzed	analyze	VERB
jbi-22655	132	4	species	specie	NOUN
jbi-22655	132	5	,	,	PUNCT
jbi-22655	132	6	30	30	NUM
jbi-22655	132	7	consistently	consistently	ADV
jbi-22655	132	8	exhibited	exhibit	VERB
jbi-22655	132	9	models	model	NOUN
jbi-22655	132	10	with	with	ADP
jbi-22655	132	11	positive	positive	ADJ
jbi-22655	132	12	functional	functional	ADJ
jbi-22655	132	13	accuracy	accuracy	NOUN
jbi-22655	132	14	,	,	PUNCT
jbi-22655	132	15	characterized	characterize	VERB
jbi-22655	132	16	by	by	ADP
jbi-22655	132	17	spearman	spearman	NOUN
jbi-22655	132	18	correlation	correlation	NOUN
jbi-22655	132	19	coefficients	coefficient	VERB
jbi-22655	132	20	greater	great	ADJ
jbi-22655	132	21	than	than	ADP
jbi-22655	132	22	0	0	NUM
jbi-22655	132	23	.	.	PUNCT
jbi-22655	133	1	the	the	DET
jbi-22655	133	2	other	other	ADJ
jbi-22655	133	3	70	70	NUM
jbi-22655	133	4	species	specie	NOUN
jbi-22655	133	5	showed	show	VERB
jbi-22655	133	6	at	at	ADP
jbi-22655	133	7	least	least	ADV
jbi-22655	133	8	one	one	NUM
jbi-22655	133	9	model	model	NOUN
jbi-22655	133	10	with	with	ADP
jbi-22655	133	11	negative	negative	ADJ
jbi-22655	133	12	functional	functional	ADJ
jbi-22655	133	13	accuracy	accuracy	NOUN
jbi-22655	133	14	.	.	PUNCT
jbi-22655	134	1	furthermore	furthermore	ADV
jbi-22655	134	2	,	,	PUNCT
jbi-22655	134	3	13	13	NUM
jbi-22655	134	4	species	specie	NOUN
jbi-22655	134	5	were	be	AUX
jbi-22655	134	6	particularly	particularly	ADV
jbi-22655	134	7	notable	notable	ADJ
jbi-22655	134	8	,	,	PUNCT
jbi-22655	134	9	as	as	SCONJ
jbi-22655	134	10	most	most	ADJ
jbi-22655	134	11	of	of	ADP
jbi-22655	134	12	their	their	PRON
jbi-22655	134	13	models	model	NOUN
jbi-22655	134	14	yielded	yield	VERB
jbi-22655	134	15	negative	negative	ADJ
jbi-22655	134	16	functional	functional	ADJ
jbi-22655	134	17	accuracy	accuracy	NOUN
jbi-22655	134	18	values	value	NOUN
jbi-22655	134	19	.	.	PUNCT
jbi-22655	135	1	this	this	DET
jbi-22655	135	2	disparity	disparity	NOUN
jbi-22655	135	3	in	in	ADP
jbi-22655	135	4	model	model	NOUN
jbi-22655	135	5	accuracy	accuracy	NOUN
jbi-22655	135	6	underscores	underscore	VERB
jbi-22655	135	7	the	the	DET
jbi-22655	135	8	diverse	diverse	ADJ
jbi-22655	135	9	responses	response	NOUN
jbi-22655	135	10	of	of	ADP
jbi-22655	135	11	species	specie	NOUN
jbi-22655	135	12	to	to	ADP
jbi-22655	135	13	the	the	DET
jbi-22655	135	14	calibration	calibration	NOUN
jbi-22655	135	15	area	area	NOUN
jbi-22655	135	16	and	and	CCONJ
jbi-22655	135	17	other	other	ADJ
jbi-22655	135	18	factors	factor	NOUN
jbi-22655	135	19	,	,	PUNCT
jbi-22655	135	20	leading	lead	VERB
jbi-22655	135	21	to	to	ADP
jbi-22655	135	22	variations	variation	NOUN
jbi-22655	135	23	in	in	ADP
jbi-22655	135	24	the	the	DET
jbi-22655	135	25	accuracy	accuracy	NOUN
jbi-22655	135	26	of	of	ADP
jbi-22655	135	27	the	the	DET
jbi-22655	135	28	generated	generate	VERB
jbi-22655	135	29	models	model	NOUN
jbi-22655	135	30	.	.	PUNCT
jbi-22655	136	1	explained	explain	VERB
jbi-22655	136	2	variance	variance	NOUN
jbi-22655	136	3	the	the	DET
jbi-22655	136	4	extent	extent	NOUN
jbi-22655	136	5	of	of	ADP
jbi-22655	136	6	the	the	DET
jbi-22655	136	7	calibration	calibration	NOUN
jbi-22655	136	8	area	area	NOUN
jbi-22655	136	9	turned	turn	VERB
jbi-22655	136	10	out	out	ADP
jbi-22655	136	11	to	to	PART
jbi-22655	136	12	be	be	AUX
jbi-22655	136	13	the	the	DET
jbi-22655	136	14	most	most	ADV
jbi-22655	136	15	important	important	ADJ
jbi-22655	136	16	factor	factor	NOUN
jbi-22655	136	17	in	in	ADP
jbi-22655	136	18	terms	term	NOUN
jbi-22655	136	19	of	of	ADP
jbi-22655	136	20	true	true	ADJ
jbi-22655	136	21	model	model	NOUN
jbi-22655	136	22	accuracy	accuracy	NOUN
jbi-22655	136	23	,	,	PUNCT
jbi-22655	136	24	with	with	ADP
jbi-22655	136	25	a	a	DET
jbi-22655	136	26	substantial	substantial	ADJ
jbi-22655	136	27	median	median	NOUN
jbi-22655	136	28	of	of	ADP
jbi-22655	136	29	50.46	50.46	NUM
jbi-22655	136	30	%	%	NOUN
jbi-22655	136	31	explained	explain	VERB
jbi-22655	136	32	variance	variance	NOUN
jbi-22655	136	33	(	(	PUNCT
jbi-22655	136	34	range	range	NOUN
jbi-22655	136	35	:	:	PUNCT
jbi-22655	136	36	2.49	2.49	NUM
jbi-22655	136	37	%	%	NOUN
jbi-22655	136	38	to	to	ADP
jbi-22655	136	39	92.99	92.99	NUM
jbi-22655	136	40	%	%	NOUN
jbi-22655	136	41	)	)	PUNCT
jbi-22655	136	42	.	.	PUNCT
jbi-22655	137	1	following	follow	VERB
jbi-22655	137	2	this	this	PRON
jbi-22655	137	3	,	,	PUNCT
jbi-22655	137	4	the	the	DET
jbi-22655	137	5	regularization	regularization	NOUN
jbi-22655	137	6	parameter	parameter	NOUN
jbi-22655	137	7	(	(	PUNCT
jbi-22655	137	8	rm	rm	NOUN
jbi-22655	137	9	)	)	PUNCT
jbi-22655	137	10	played	play	VERB
jbi-22655	137	11	a	a	DET
jbi-22655	137	12	less	less	ADV
jbi-22655	137	13	prominent	prominent	ADJ
jbi-22655	137	14	role	role	NOUN
jbi-22655	137	15	,	,	PUNCT
jbi-22655	137	16	with	with	ADP
jbi-22655	137	17	a	a	DET
jbi-22655	137	18	median	median	ADJ
jbi-22655	137	19	explained	explain	VERB
jbi-22655	137	20	variance	variance	NOUN
jbi-22655	137	21	of	of	ADP
jbi-22655	137	22	3.65	3.65	NUM
jbi-22655	137	23	%	%	NOUN
jbi-22655	137	24	(	(	PUNCT
jbi-22655	137	25	range	range	NOUN
jbi-22655	137	26	:	:	PUNCT
jbi-22655	137	27	0.01	0.01	NUM
jbi-22655	137	28	%	%	NOUN
jbi-22655	137	29	to	to	ADP
jbi-22655	137	30	48.05	48.05	NUM
jbi-22655	137	31	%	%	NOUN
jbi-22655	137	32	)	)	PUNCT
jbi-22655	137	33	.	.	PUNCT
jbi-22655	138	1	predictor	predictor	NOUN
jbi-22655	138	2	collinearity	collinearity	NOUN
jbi-22655	138	3	and	and	CCONJ
jbi-22655	138	4	spatial	spatial	ADJ
jbi-22655	138	5	thinning	thinning	NOUN
jbi-22655	138	6	exhibited	exhibit	VERB
jbi-22655	138	7	a	a	DET
jbi-22655	138	8	negligible	negligible	ADJ
jbi-22655	138	9	impact	impact	NOUN
jbi-22655	138	10	on	on	ADP
jbi-22655	138	11	true	true	ADJ
jbi-22655	138	12	model	model	NOUN
jbi-22655	138	13	accuracy	accuracy	NOUN
jbi-22655	138	14	,	,	PUNCT
jbi-22655	138	15	each	each	PRON
jbi-22655	138	16	contributing	contribute	VERB
jbi-22655	138	17	with	with	ADP
jbi-22655	138	18	a	a	DET
jbi-22655	138	19	median	median	ADJ
jbi-22655	138	20	explained	explain	VERB
jbi-22655	138	21	variance	variance	NOUN
jbi-22655	138	22	of	of	ADP
jbi-22655	138	23	0.41	0.41	NUM
jbi-22655	138	24	%	%	NOUN
jbi-22655	138	25	and	and	CCONJ
jbi-22655	138	26	0.04	0.04	NUM
jbi-22655	138	27	%	%	NOUN
jbi-22655	138	28	,	,	PUNCT
jbi-22655	138	29	respectively	respectively	ADV
jbi-22655	138	30	(	(	PUNCT
jbi-22655	138	31	fig	fig	NOUN
jbi-22655	138	32	.	.	PUNCT
jbi-22655	139	1	2	2	NUM
jbi-22655	139	2	)	)	PUNCT
jbi-22655	139	3	.	.	PUNCT
jbi-22655	140	1	functional	functional	ADJ
jbi-22655	140	2	and	and	CCONJ
jbi-22655	140	3	discrimination	discrimination	NOUN
jbi-22655	140	4	accuracy	accuracy	NOUN
jbi-22655	140	5	we	we	PRON
jbi-22655	140	6	explored	explore	VERB
jbi-22655	140	7	the	the	DET
jbi-22655	140	8	correlation	correlation	NOUN
jbi-22655	140	9	between	between	ADP
jbi-22655	140	10	functional	functional	ADJ
jbi-22655	140	11	and	and	CCONJ
jbi-22655	140	12	discrimination	discrimination	NOUN
jbi-22655	140	13	accuracy	accuracy	NOUN
jbi-22655	140	14	for	for	ADP
jbi-22655	140	15	the	the	DET
jbi-22655	140	16	100	100	NUM
jbi-22655	140	17	species	specie	NOUN
jbi-22655	140	18	under	under	ADP
jbi-22655	140	19	two	two	NUM
jbi-22655	140	20	different	different	ADJ
jbi-22655	140	21	data	datum	NOUN
jbi-22655	140	22	partitioning	partition	VERB
jbi-22655	140	23	scenarios	scenario	NOUN
jbi-22655	140	24	(	(	PUNCT
jbi-22655	140	25	fig	fig	NOUN
jbi-22655	140	26	.	.	PUNCT
jbi-22655	141	1	3	3	NUM
jbi-22655	141	2	)	)	PUNCT
jbi-22655	141	3	.	.	PUNCT
jbi-22655	142	1	when	when	SCONJ
jbi-22655	142	2	considering	consider	VERB
jbi-22655	142	3	random	random	ADJ
jbi-22655	142	4	data	datum	NOUN
jbi-22655	142	5	partitioning	partitioning	NOUN
jbi-22655	142	6	,	,	PUNCT
jbi-22655	142	7	a	a	DET
jbi-22655	142	8	wide	wide	ADJ
jbi-22655	142	9	range	range	NOUN
jbi-22655	142	10	of	of	ADP
jbi-22655	142	11	correlations	correlation	NOUN
jbi-22655	142	12	was	be	AUX
jbi-22655	142	13	observed	observe	VERB
jbi-22655	142	14	.	.	PUNCT
jbi-22655	143	1	the	the	DET
jbi-22655	143	2	minimum	minimum	ADJ
jbi-22655	143	3	and	and	CCONJ
jbi-22655	143	4	maximum	maximum	ADJ
jbi-22655	143	5	values	value	NOUN
jbi-22655	143	6	were	be	AUX
jbi-22655	143	7	-0.58	-0.58	ADJ
jbi-22655	143	8	and	and	CCONJ
jbi-22655	143	9	0.82	0.82	NUM
jbi-22655	143	10	.	.	PUNCT
jbi-22655	144	1	the	the	DET
jbi-22655	144	2	median	median	ADJ
jbi-22655	144	3	correlation	correlation	NOUN
jbi-22655	144	4	between	between	ADP
jbi-22655	144	5	these	these	DET
jbi-22655	144	6	two	two	NUM
jbi-22655	144	7	metrics	metric	NOUN
jbi-22655	144	8	was	be	AUX
jbi-22655	144	9	0.46	0.46	NUM
jbi-22655	144	10	.	.	PUNCT
jbi-22655	145	1	remarkably	remarkably	ADV
jbi-22655	145	2	,	,	PUNCT
jbi-22655	145	3	19	19	NUM
jbi-22655	145	4	species	specie	NOUN
jbi-22655	145	5	exhibited	exhibit	VERB
jbi-22655	145	6	negative	negative	ADJ
jbi-22655	145	7	correlations	correlation	NOUN
jbi-22655	145	8	.	.	PUNCT
jbi-22655	146	1	when	when	SCONJ
jbi-22655	146	2	data	datum	NOUN
jbi-22655	146	3	partitioning	partitioning	NOUN
jbi-22655	146	4	was	be	AUX
jbi-22655	146	5	based	base	VERB
jbi-22655	146	6	on	on	ADP
jbi-22655	146	7	figure	figure	NOUN
jbi-22655	146	8	1	1	NUM
jbi-22655	146	9	.	.	PUNCT
jbi-22655	146	10	functional	functional	ADJ
jbi-22655	146	11	accuracy	accuracy	NOUN
jbi-22655	146	12	of	of	ADP
jbi-22655	146	13	the	the	DET
jbi-22655	146	14	models	model	NOUN
jbi-22655	146	15	per	per	ADP
jbi-22655	146	16	species	specie	NOUN
jbi-22655	146	17	(	(	PUNCT
jbi-22655	146	18	400	400	NUM
jbi-22655	146	19	models	model	NOUN
jbi-22655	146	20	×	×	NOUN
jbi-22655	146	21	5	5	NUM
jbi-22655	146	22	replicates	replicate	NOUN
jbi-22655	146	23	)	)	PUNCT
jbi-22655	146	24	.	.	PUNCT
jbi-22655	147	1	the	the	DET
jbi-22655	147	2	y	y	NOUN
jbi-22655	147	3	-	-	PUNCT
jbi-22655	147	4	axis	axis	NOUN
jbi-22655	147	5	represents	represent	VERB
jbi-22655	147	6	functional	functional	ADJ
jbi-22655	147	7	accuracy	accuracy	NOUN
jbi-22655	147	8	(	(	PUNCT
jbi-22655	147	9	measured	measure	VERB
jbi-22655	147	10	as	as	ADP
jbi-22655	147	11	the	the	DET
jbi-22655	147	12	spearman	spearman	NOUN
jbi-22655	147	13	rank	rank	NOUN
jbi-22655	147	14	correlation	correlation	NOUN
jbi-22655	147	15	between	between	ADP
jbi-22655	147	16	true	true	ADJ
jbi-22655	147	17	and	and	CCONJ
jbi-22655	147	18	predicted	predict	VERB
jbi-22655	147	19	suitability	suitability	NOUN
jbi-22655	147	20	)	)	PUNCT
jbi-22655	147	21	and	and	CCONJ
jbi-22655	147	22	the	the	DET
jbi-22655	147	23	x	x	NOUN
jbi-22655	147	24	-	-	NOUN
jbi-22655	147	25	axis	axis	NOUN
jbi-22655	147	26	represents	represent	VERB
jbi-22655	147	27	different	different	ADJ
jbi-22655	147	28	species	specie	NOUN
jbi-22655	147	29	(	(	PUNCT
jbi-22655	147	30	without	without	ADP
jbi-22655	147	31	specific	specific	ADJ
jbi-22655	147	32	names	name	NOUN
jbi-22655	147	33	as	as	SCONJ
jbi-22655	147	34	they	they	PRON
jbi-22655	147	35	are	be	AUX
jbi-22655	147	36	virtual	virtual	ADJ
jbi-22655	147	37	)	)	PUNCT
jbi-22655	147	38	.	.	PUNCT
jbi-22655	148	1	data	datum	NOUN
jbi-22655	148	2	points	point	NOUN
jbi-22655	148	3	are	be	AUX
jbi-22655	148	4	represented	represent	VERB
jbi-22655	148	5	with	with	ADP
jbi-22655	148	6	five	five	NUM
jbi-22655	148	7	different	different	ADJ
jbi-22655	148	8	colors	color	NOUN
jbi-22655	148	9	(	(	PUNCT
jbi-22655	148	10	one	one	NUM
jbi-22655	148	11	for	for	ADP
jbi-22655	148	12	each	each	DET
jbi-22655	148	13	replicate	replicate	NOUN
jbi-22655	148	14	)	)	PUNCT
jbi-22655	148	15	.	.	PUNCT
jbi-22655	149	1	species	specie	NOUN
jbi-22655	149	2	are	be	AUX
jbi-22655	149	3	ordered	order	VERB
jbi-22655	149	4	from	from	ADP
jbi-22655	149	5	highest	high	ADJ
jbi-22655	149	6	to	to	PART
jbi-22655	149	7	lowest	low	ADJ
jbi-22655	149	8	based	base	VERB
jbi-22655	149	9	on	on	ADP
jbi-22655	149	10	their	their	PRON
jbi-22655	149	11	best	well	ADV
jbi-22655	149	12	-	-	PUNCT
jbi-22655	149	13	performing	perform	VERB
jbi-22655	149	14	model	model	NOUN
jbi-22655	149	15	.	.	PUNCT
jbi-22655	150	1	the	the	DET
jbi-22655	150	2	accuracy	accuracy	NOUN
jbi-22655	150	3	of	of	ADP
jbi-22655	150	4	the	the	DET
jbi-22655	150	5	unbiased	unbiased	ADJ
jbi-22655	150	6	model	model	NOUN
jbi-22655	150	7	is	be	AUX
jbi-22655	150	8	denoted	denote	VERB
jbi-22655	150	9	for	for	ADP
jbi-22655	150	10	each	each	DET
jbi-22655	150	11	species	specie	NOUN
jbi-22655	150	12	with	with	ADP
jbi-22655	150	13	a	a	DET
jbi-22655	150	14	"	"	PUNCT
jbi-22655	150	15	+	+	ADJ
jbi-22655	150	16	"	"	PUNCT
jbi-22655	150	17	symbol	symbol	NOUN
jbi-22655	150	18	.	.	PUNCT
jbi-22655	151	1	the	the	DET
jbi-22655	151	2	red	red	PROPN
jbi-22655	151	3	dashed	dash	VERB
jbi-22655	151	4	line	line	NOUN
jbi-22655	151	5	represents	represent	VERB
jbi-22655	151	6	the	the	DET
jbi-22655	151	7	expected	expect	VERB
jbi-22655	151	8	value	value	NOUN
jbi-22655	151	9	by	by	ADP
jbi-22655	151	10	chance	chance	NOUN
jbi-22655	151	11	.	.	PUNCT
jbi-22655	152	1	luna	luna	PROPN
jbi-22655	152	2	et	et	PROPN
jbi-22655	152	3	al	al	PROPN
jbi-22655	152	4	.	.	PROPN
jbi-22655	152	5	–	–	PUNCT
jbi-22655	152	6	species	species	NOUN
jbi-22655	152	7	distribution	distribution	NOUN
jbi-22655	152	8	model	model	NOUN
jbi-22655	152	9	accuracy	accuracy	NOUN
jbi-22655	152	10	influenced	influence	VERB
jbi-22655	152	11	by	by	ADP
jbi-22655	152	12	calibration	calibration	NOUN
jbi-22655	152	13	area	area	NOUN
jbi-22655	152	14	49	49	NUM
jbi-22655	152	15	figure	figure	NOUN
jbi-22655	152	16	2	2	NUM
jbi-22655	152	17	.	.	PUNCT
jbi-22655	152	18	percentage	percentage	NOUN
jbi-22655	152	19	of	of	ADP
jbi-22655	152	20	variance	variance	NOUN
jbi-22655	152	21	explained	explain	VERB
jbi-22655	152	22	by	by	ADP
jbi-22655	152	23	the	the	DET
jbi-22655	152	24	four	four	NUM
jbi-22655	152	25	factors	factor	NOUN
jbi-22655	152	26	analyzed	analyze	VERB
jbi-22655	152	27	and	and	CCONJ
jbi-22655	152	28	the	the	DET
jbi-22655	152	29	residual	residual	ADJ
jbi-22655	152	30	(	(	PUNCT
jbi-22655	152	31	unexplained	unexplained	ADJ
jbi-22655	152	32	)	)	PUNCT
jbi-22655	152	33	variance	variance	NOUN
jbi-22655	152	34	.	.	PUNCT
jbi-22655	153	1	the	the	DET
jbi-22655	153	2	x	x	X
jbi-22655	153	3	-	-	NOUN
jbi-22655	153	4	axis	axis	NOUN
jbi-22655	153	5	represents	represent	VERB
jbi-22655	153	6	the	the	DET
jbi-22655	153	7	percentage	percentage	NOUN
jbi-22655	153	8	of	of	ADP
jbi-22655	153	9	variance	variance	NOUN
jbi-22655	153	10	explained	explain	VERB
jbi-22655	153	11	,	,	PUNCT
jbi-22655	153	12	and	and	CCONJ
jbi-22655	153	13	the	the	DET
jbi-22655	153	14	y	y	NOUN
jbi-22655	153	15	-	-	PUNCT
jbi-22655	153	16	axis	axis	NOUN
jbi-22655	153	17	shows	show	VERB
jbi-22655	153	18	the	the	DET
jbi-22655	153	19	factors	factor	NOUN
jbi-22655	153	20	analyzed	analyze	VERB
jbi-22655	153	21	.	.	PUNCT
jbi-22655	154	1	the	the	DET
jbi-22655	154	2	boxplots	boxplot	NOUN
jbi-22655	154	3	summarize	summarize	VERB
jbi-22655	154	4	the	the	DET
jbi-22655	154	5	distribution	distribution	NOUN
jbi-22655	154	6	of	of	ADP
jbi-22655	154	7	these	these	DET
jbi-22655	154	8	percentages	percentage	NOUN
jbi-22655	154	9	for	for	ADP
jbi-22655	154	10	all	all	DET
jbi-22655	154	11	species	specie	NOUN
jbi-22655	154	12	.	.	PUNCT
jbi-22655	155	1	area	area	NOUN
jbi-22655	155	2	:	:	PUNCT
jbi-22655	155	3	calibration	calibration	NOUN
jbi-22655	155	4	area	area	NOUN
jbi-22655	155	5	;	;	PUNCT
jbi-22655	155	6	rm	rm	NOUN
jbi-22655	155	7	:	:	PUNCT
jbi-22655	155	8	regularization	regularization	NOUN
jbi-22655	155	9	multiplier	multiplier	ADV
jbi-22655	155	10	;	;	PUNCT
jbi-22655	155	11	cor	cor	PROPN
jbi-22655	155	12	:	:	PUNCT
jbi-22655	155	13	predictor	predictor	NOUN
jbi-22655	155	14	collinearity	collinearity	NOUN
jbi-22655	155	15	;	;	PUNCT
jbi-22655	155	16	thin	thin	ADJ
jbi-22655	155	17	:	:	PUNCT
jbi-22655	155	18	occurrence	occurrence	NOUN
jbi-22655	155	19	thinning	thinning	NOUN
jbi-22655	155	20	.	.	PUNCT
jbi-22655	156	1	figure	figure	NOUN
jbi-22655	156	2	3	3	NUM
jbi-22655	156	3	.	.	X
jbi-22655	156	4	relationship	relationship	NOUN
jbi-22655	156	5	between	between	ADP
jbi-22655	156	6	model	model	NOUN
jbi-22655	156	7	functional	functional	ADJ
jbi-22655	156	8	and	and	CCONJ
jbi-22655	156	9	discrimination	discrimination	NOUN
jbi-22655	156	10	accuracy	accuracy	NOUN
jbi-22655	156	11	for	for	ADP
jbi-22655	156	12	the	the	DET
jbi-22655	156	13	100	100	NUM
jbi-22655	156	14	species	specie	NOUN
jbi-22655	156	15	under	under	ADP
jbi-22655	156	16	varying	vary	VERB
jbi-22655	156	17	calibration	calibration	NOUN
jbi-22655	156	18	area	area	NOUN
jbi-22655	156	19	extents	extent	NOUN
jbi-22655	156	20	and	and	CCONJ
jbi-22655	156	21	partitioning	partitioning	ADJ
jbi-22655	156	22	methods	method	NOUN
jbi-22655	156	23	.	.	PUNCT
jbi-22655	157	1	the	the	DET
jbi-22655	157	2	x	x	X
jbi-22655	157	3	-	-	NOUN
jbi-22655	157	4	axis	axis	NOUN
jbi-22655	157	5	represents	represent	VERB
jbi-22655	157	6	the	the	DET
jbi-22655	157	7	functional	functional	ADJ
jbi-22655	157	8	accuracy	accuracy	NOUN
jbi-22655	157	9	,	,	PUNCT
jbi-22655	157	10	divided	divide	VERB
jbi-22655	157	11	by	by	ADP
jbi-22655	157	12	the	the	DET
jbi-22655	157	13	extent	extent	NOUN
jbi-22655	157	14	of	of	ADP
jbi-22655	157	15	the	the	DET
jbi-22655	157	16	calibration	calibration	NOUN
jbi-22655	157	17	area	area	NOUN
jbi-22655	157	18	,	,	PUNCT
jbi-22655	157	19	the	the	DET
jbi-22655	157	20	y	y	NOUN
jbi-22655	157	21	-	-	PUNCT
jbi-22655	157	22	axis	axis	NOUN
jbi-22655	157	23	represents	represent	VERB
jbi-22655	157	24	discrimination	discrimination	NOUN
jbi-22655	157	25	accuracy	accuracy	NOUN
jbi-22655	157	26	,	,	PUNCT
jbi-22655	157	27	divided	divide	VERB
jbi-22655	157	28	by	by	ADP
jbi-22655	157	29	the	the	DET
jbi-22655	157	30	partitioning	partitioning	NOUN
jbi-22655	157	31	method	method	NOUN
jbi-22655	157	32	(	(	PUNCT
jbi-22655	157	33	random	random	ADJ
jbi-22655	157	34	and	and	CCONJ
jbi-22655	157	35	geographical	geographical	ADJ
jbi-22655	157	36	blocks	block	NOUN
jbi-22655	157	37	)	)	PUNCT
jbi-22655	157	38	.	.	PUNCT
jbi-22655	158	1	the	the	DET
jbi-22655	158	2	blue	blue	ADJ
jbi-22655	158	3	lines	line	NOUN
jbi-22655	158	4	,	,	PUNCT
jbi-22655	158	5	obtained	obtain	VERB
jbi-22655	158	6	through	through	ADP
jbi-22655	158	7	ordinary	ordinary	ADJ
jbi-22655	158	8	least	least	ADJ
jbi-22655	158	9	squares	square	NOUN
jbi-22655	158	10	(	(	PUNCT
jbi-22655	158	11	ols	ol	NOUN
jbi-22655	158	12	)	)	PUNCT
jbi-22655	158	13	regression	regression	NOUN
jbi-22655	158	14	,	,	PUNCT
jbi-22655	158	15	provide	provide	VERB
jbi-22655	158	16	a	a	DET
jbi-22655	158	17	visual	visual	ADJ
jbi-22655	158	18	representation	representation	NOUN
jbi-22655	158	19	of	of	ADP
jbi-22655	158	20	the	the	DET
jbi-22655	158	21	correlation	correlation	NOUN
jbi-22655	158	22	between	between	ADP
jbi-22655	158	23	the	the	DET
jbi-22655	158	24	two	two	NUM
jbi-22655	158	25	accuracy	accuracy	NOUN
jbi-22655	158	26	metrics	metric	NOUN
jbi-22655	158	27	for	for	ADP
jbi-22655	158	28	each	each	DET
jbi-22655	158	29	subset	subset	NOUN
jbi-22655	158	30	of	of	ADP
jbi-22655	158	31	points	point	NOUN
jbi-22655	158	32	.	.	PUNCT
jbi-22655	159	1	luna	luna	PROPN
jbi-22655	159	2	et	et	PROPN
jbi-22655	159	3	al	al	PROPN
jbi-22655	159	4	.	.	PROPN
jbi-22655	159	5	–	–	PUNCT
jbi-22655	159	6	species	species	NOUN
jbi-22655	159	7	distribution	distribution	NOUN
jbi-22655	159	8	model	model	NOUN
jbi-22655	159	9	accuracy	accuracy	NOUN
jbi-22655	159	10	influenced	influence	VERB
jbi-22655	159	11	by	by	ADP
jbi-22655	159	12	calibration	calibration	NOUN
jbi-22655	159	13	area	area	NOUN
jbi-22655	159	14	50	50	NUM
jbi-22655	159	15	geographical	geographical	ADJ
jbi-22655	159	16	blocks	block	NOUN
jbi-22655	159	17	,	,	PUNCT
jbi-22655	159	18	the	the	DET
jbi-22655	159	19	correlations	correlation	NOUN
jbi-22655	159	20	also	also	ADV
jbi-22655	159	21	displayed	display	VERB
jbi-22655	159	22	variability	variability	NOUN
jbi-22655	159	23	,	,	PUNCT
jbi-22655	159	24	ranging	range	VERB
jbi-22655	159	25	from	from	ADP
jbi-22655	159	26	-0.73	-0.73	NUM
jbi-22655	159	27	to	to	PART
jbi-22655	159	28	0.69	0.69	NUM
jbi-22655	159	29	,	,	PUNCT
jbi-22655	159	30	with	with	ADP
jbi-22655	159	31	a	a	DET
jbi-22655	159	32	median	median	ADJ
jbi-22655	159	33	correlation	correlation	NOUN
jbi-22655	159	34	of	of	ADP
jbi-22655	159	35	0.32	0.32	NUM
jbi-22655	159	36	.	.	PUNCT
jbi-22655	160	1	here	here	ADV
jbi-22655	160	2	,	,	PUNCT
jbi-22655	160	3	25	25	NUM
jbi-22655	160	4	species	specie	NOUN
jbi-22655	160	5	showed	show	VERB
jbi-22655	160	6	negative	negative	ADJ
jbi-22655	160	7	correlations	correlation	NOUN
jbi-22655	160	8	between	between	ADP
jbi-22655	160	9	functional	functional	ADJ
jbi-22655	160	10	and	and	CCONJ
jbi-22655	160	11	discrimination	discrimination	NOUN
jbi-22655	160	12	accuracy	accuracy	NOUN
jbi-22655	160	13	.	.	PUNCT
jbi-22655	161	1	however	however	ADV
jbi-22655	161	2	,	,	PUNCT
jbi-22655	161	3	a	a	DET
jbi-22655	161	4	noteworthy	noteworthy	ADJ
jbi-22655	161	5	finding	finding	NOUN
jbi-22655	161	6	emerged	emerge	VERB
jbi-22655	161	7	despite	despite	SCONJ
jbi-22655	161	8	the	the	DET
jbi-22655	161	9	relatively	relatively	ADV
jbi-22655	161	10	low	low	ADJ
jbi-22655	161	11	correlation	correlation	NOUN
jbi-22655	161	12	between	between	ADP
jbi-22655	161	13	functional	functional	ADJ
jbi-22655	161	14	and	and	CCONJ
jbi-22655	161	15	discrimination	discrimination	NOUN
jbi-22655	161	16	accuracy	accuracy	NOUN
jbi-22655	161	17	.	.	PUNCT
jbi-22655	162	1	for	for	ADP
jbi-22655	162	2	76	76	NUM
jbi-22655	162	3	species	specie	NOUN
jbi-22655	162	4	,	,	PUNCT
jbi-22655	162	5	the	the	DET
jbi-22655	162	6	best	good	ADJ
jbi-22655	162	7	models	model	NOUN
jbi-22655	162	8	based	base	VERB
jbi-22655	162	9	on	on	ADP
jbi-22655	162	10	the	the	DET
jbi-22655	162	11	random	random	ADJ
jbi-22655	162	12	data	datum	NOUN
jbi-22655	162	13	partitioning	partitioning	NOUN
jbi-22655	162	14	evaluation	evaluation	NOUN
jbi-22655	162	15	showed	show	VERB
jbi-22655	162	16	functional	functional	ADJ
jbi-22655	162	17	accuracies	accuracy	NOUN
jbi-22655	162	18	exceeding	exceed	VERB
jbi-22655	162	19	0.5	0.5	NUM
jbi-22655	162	20	.	.	PUNCT
jbi-22655	163	1	in	in	ADP
jbi-22655	163	2	parallel	parallel	NOUN
jbi-22655	163	3	,	,	PUNCT
jbi-22655	163	4	for	for	ADP
jbi-22655	163	5	71	71	NUM
jbi-22655	163	6	species	specie	NOUN
jbi-22655	163	7	,	,	PUNCT
jbi-22655	163	8	the	the	DET
jbi-22655	163	9	best	good	ADJ
jbi-22655	163	10	models	model	NOUN
jbi-22655	163	11	selected	select	VERB
jbi-22655	163	12	with	with	ADP
jbi-22655	163	13	the	the	DET
jbi-22655	163	14	geographical	geographical	ADJ
jbi-22655	163	15	block	block	NOUN
jbi-22655	163	16	data	datum	NOUN
jbi-22655	163	17	partitioning	partitioning	NOUN
jbi-22655	163	18	strategy	strategy	NOUN
jbi-22655	163	19	achieved	achieve	VERB
jbi-22655	163	20	functional	functional	ADJ
jbi-22655	163	21	accuracies	accuracy	NOUN
jbi-22655	163	22	exceeding	exceed	VERB
jbi-22655	163	23	0.5	0.5	NUM
jbi-22655	163	24	.	.	PUNCT
jbi-22655	164	1	discussion	discussion	NOUN
jbi-22655	164	2	our	our	PRON
jbi-22655	164	3	research	research	NOUN
jbi-22655	164	4	advances	advance	VERB
jbi-22655	164	5	a	a	DET
jbi-22655	164	6	more	more	ADV
jbi-22655	164	7	systematic	systematic	ADJ
jbi-22655	164	8	evaluation	evaluation	NOUN
jbi-22655	164	9	of	of	ADP
jbi-22655	164	10	how	how	SCONJ
jbi-22655	164	11	varying	vary	VERB
jbi-22655	164	12	extents	extent	NOUN
jbi-22655	164	13	of	of	ADP
jbi-22655	164	14	calibration	calibration	NOUN
jbi-22655	164	15	area	area	NOUN
jbi-22655	164	16	affect	affect	VERB
jbi-22655	164	17	sdm	sdm	PROPN
jbi-22655	164	18	accuracy	accuracy	NOUN
jbi-22655	164	19	.	.	PUNCT
jbi-22655	165	1	indeed	indeed	ADV
jbi-22655	165	2	,	,	PUNCT
jbi-22655	165	3	the	the	DET
jbi-22655	165	4	observed	observe	VERB
jbi-22655	165	5	variability	variability	NOUN
jbi-22655	165	6	in	in	ADP
jbi-22655	165	7	model	model	NOUN
jbi-22655	165	8	performance	performance	NOUN
jbi-22655	165	9	within	within	ADP
jbi-22655	165	10	and	and	CCONJ
jbi-22655	165	11	across	across	ADP
jbi-22655	165	12	species	specie	NOUN
jbi-22655	165	13	underscores	underscore	VERB
jbi-22655	165	14	the	the	DET
jbi-22655	165	15	need	need	NOUN
jbi-22655	165	16	for	for	ADP
jbi-22655	165	17	tailored	tailor	VERB
jbi-22655	165	18	approaches	approach	NOUN
jbi-22655	165	19	,	,	PUNCT
jbi-22655	165	20	considering	consider	VERB
jbi-22655	165	21	species	specie	NOUN
jbi-22655	165	22	-	-	PUNCT
jbi-22655	165	23	specific	specific	ADJ
jbi-22655	165	24	characteristics	characteristic	NOUN
jbi-22655	165	25	.	.	PUNCT
jbi-22655	166	1	in	in	ADP
jbi-22655	166	2	this	this	DET
jbi-22655	166	3	context	context	NOUN
jbi-22655	166	4	,	,	PUNCT
jbi-22655	166	5	the	the	DET
jbi-22655	166	6	most	most	ADV
jbi-22655	166	7	critical	critical	ADJ
jbi-22655	166	8	factor	factor	NOUN
jbi-22655	166	9	influencing	influence	VERB
jbi-22655	166	10	the	the	DET
jbi-22655	166	11	accuracy	accuracy	NOUN
jbi-22655	166	12	of	of	ADP
jbi-22655	166	13	species	specie	NOUN
jbi-22655	166	14	distribution	distribution	NOUN
jbi-22655	166	15	models	model	NOUN
jbi-22655	166	16	turned	turn	VERB
jbi-22655	166	17	out	out	ADP
jbi-22655	166	18	to	to	PART
jbi-22655	166	19	be	be	AUX
jbi-22655	166	20	the	the	DET
jbi-22655	166	21	size	size	NOUN
jbi-22655	166	22	of	of	ADP
jbi-22655	166	23	the	the	DET
jbi-22655	166	24	calibration	calibration	NOUN
jbi-22655	166	25	area	area	NOUN
jbi-22655	166	26	.	.	PUNCT
jbi-22655	167	1	overall	overall	ADV
jbi-22655	167	2	,	,	PUNCT
jbi-22655	167	3	models	model	NOUN
jbi-22655	167	4	calibrated	calibrate	VERB
jbi-22655	167	5	with	with	ADP
jbi-22655	167	6	larger	large	ADJ
jbi-22655	167	7	areas	area	NOUN
jbi-22655	167	8	tend	tend	VERB
jbi-22655	167	9	to	to	PART
jbi-22655	167	10	show	show	VERB
jbi-22655	167	11	higher	high	ADJ
jbi-22655	167	12	functional	functional	ADJ
jbi-22655	167	13	accuracy	accuracy	NOUN
jbi-22655	167	14	than	than	ADP
jbi-22655	167	15	models	model	NOUN
jbi-22655	167	16	calibrated	calibrate	VERB
jbi-22655	167	17	with	with	ADP
jbi-22655	167	18	smaller	small	ADJ
jbi-22655	167	19	areas	area	NOUN
jbi-22655	167	20	.	.	PUNCT
jbi-22655	168	1	although	although	SCONJ
jbi-22655	168	2	it	it	PRON
jbi-22655	168	3	is	be	AUX
jbi-22655	168	4	not	not	PART
jbi-22655	168	5	straightforward	straightforward	ADJ
jbi-22655	168	6	to	to	PART
jbi-22655	168	7	compare	compare	VERB
jbi-22655	168	8	different	different	ADJ
jbi-22655	168	9	algorithms	algorithm	NOUN
jbi-22655	168	10	,	,	PUNCT
jbi-22655	168	11	due	due	ADP
jbi-22655	168	12	to	to	ADP
jbi-22655	168	13	their	their	PRON
jbi-22655	168	14	reliance	reliance	NOUN
jbi-22655	168	15	on	on	ADP
jbi-22655	168	16	different	different	ADJ
jbi-22655	168	17	types	type	NOUN
jbi-22655	168	18	of	of	ADP
jbi-22655	168	19	data	datum	NOUN
jbi-22655	168	20	(	(	PUNCT
jbi-22655	168	21	e.g.	e.g.	ADV
jbi-22655	168	22	,	,	PUNCT
jbi-22655	168	23	presence	presence	NOUN
jbi-22655	168	24	-	-	PUNCT
jbi-22655	168	25	only	only	ADV
jbi-22655	168	26	vs.	vs.	ADP
jbi-22655	168	27	presence	presence	NOUN
jbi-22655	168	28	-	-	PUNCT
jbi-22655	168	29	absence	absence	NOUN
jbi-22655	168	30	)	)	PUNCT
jbi-22655	168	31	,	,	PUNCT
jbi-22655	168	32	statistical	statistical	ADJ
jbi-22655	168	33	methodologies	methodology	NOUN
jbi-22655	168	34	(	(	PUNCT
jbi-22655	168	35	e.g.	e.g.	ADV
jbi-22655	168	36	,	,	PUNCT
jbi-22655	168	37	classification	classification	NOUN
jbi-22655	168	38	vs.	vs.	ADP
jbi-22655	168	39	regression	regression	NOUN
jbi-22655	168	40	)	)	PUNCT
jbi-22655	168	41	,	,	PUNCT
jbi-22655	168	42	or	or	CCONJ
jbi-22655	168	43	evaluation	evaluation	NOUN
jbi-22655	168	44	strategies	strategy	NOUN
jbi-22655	168	45	(	(	PUNCT
jbi-22655	168	46	e.g.	e.g.	ADV
jbi-22655	168	47	,	,	PUNCT
jbi-22655	168	48	rocauc	rocauc	NOUN
jbi-22655	168	49	vs	vs	ADP
jbi-22655	168	50	boyce	boyce	PROPN
jbi-22655	168	51	index	index	PROPN
jbi-22655	168	52	)	)	PUNCT
jbi-22655	168	53	,	,	PUNCT
jbi-22655	168	54	results	result	NOUN
jbi-22655	168	55	are	be	AUX
jbi-22655	168	56	often	often	ADV
jbi-22655	168	57	compared	compare	VERB
jbi-22655	168	58	in	in	ADP
jbi-22655	168	59	the	the	DET
jbi-22655	168	60	literature	literature	NOUN
jbi-22655	168	61	(	(	PUNCT
jbi-22655	168	62	bucklin	bucklin	PROPN
jbi-22655	168	63	et	et	PROPN
jbi-22655	168	64	al	al	PROPN
jbi-22655	168	65	.	.	PROPN
jbi-22655	168	66	2015	2015	NUM
jbi-22655	168	67	;	;	PUNCT
jbi-22655	168	68	valavi	valavi	PROPN
jbi-22655	168	69	et	et	PROPN
jbi-22655	168	70	al	al	PROPN
jbi-22655	168	71	.	.	PROPN
jbi-22655	168	72	2022	2022	NUM
jbi-22655	168	73	)	)	PUNCT
jbi-22655	168	74	and	and	CCONJ
jbi-22655	168	75	our	our	PRON
jbi-22655	168	76	major	major	ADJ
jbi-22655	168	77	findings	finding	NOUN
jbi-22655	168	78	are	be	AUX
jbi-22655	168	79	in	in	ADP
jbi-22655	168	80	line	line	NOUN
jbi-22655	168	81	with	with	ADP
jbi-22655	168	82	other	other	ADJ
jbi-22655	168	83	previous	previous	ADJ
jbi-22655	168	84	research	research	NOUN
jbi-22655	168	85	.	.	PUNCT
jbi-22655	169	1	vanderwal	vanderwal	NOUN
jbi-22655	169	2	et	et	PROPN
jbi-22655	169	3	al	al	PROPN
jbi-22655	169	4	.	.	PUNCT
jbi-22655	170	1	(	(	PUNCT
jbi-22655	170	2	2009	2009	NUM
jbi-22655	170	3	)	)	PUNCT
jbi-22655	170	4	,	,	PUNCT
jbi-22655	170	5	for	for	ADP
jbi-22655	170	6	instance	instance	NOUN
jbi-22655	170	7	,	,	PUNCT
jbi-22655	170	8	used	use	VERB
jbi-22655	170	9	buffers	buffer	NOUN
jbi-22655	170	10	with	with	ADP
jbi-22655	170	11	increasing	increase	VERB
jbi-22655	170	12	distances	distance	NOUN
jbi-22655	170	13	ranging	range	VERB
jbi-22655	170	14	from	from	ADP
jbi-22655	170	15	10	10	NUM
jbi-22655	170	16	to	to	PART
jbi-22655	170	17	500	500	NUM
jbi-22655	170	18	km	km	NOUN
jbi-22655	170	19	around	around	ADP
jbi-22655	170	20	the	the	DET
jbi-22655	170	21	species	specie	NOUN
jbi-22655	170	22	’	'	PUNCT
jbi-22655	170	23	occurrences	occurrence	NOUN
jbi-22655	170	24	to	to	PART
jbi-22655	170	25	study	study	VERB
jbi-22655	170	26	the	the	DET
jbi-22655	170	27	impact	impact	NOUN
jbi-22655	170	28	of	of	ADP
jbi-22655	170	29	various	various	ADJ
jbi-22655	170	30	calibration	calibration	NOUN
jbi-22655	170	31	areas	area	NOUN
jbi-22655	170	32	working	work	VERB
jbi-22655	170	33	with	with	ADP
jbi-22655	170	34	rainforest	rainforest	NOUN
jbi-22655	170	35	vertebrate	vertebrate	NOUN
jbi-22655	170	36	from	from	ADP
jbi-22655	170	37	the	the	DET
jbi-22655	170	38	australian	australian	ADJ
jbi-22655	170	39	wet	wet	ADJ
jbi-22655	170	40	tropics	tropic	NOUN
jbi-22655	170	41	(	(	PUNCT
jbi-22655	170	42	awt	awt	PROPN
jbi-22655	170	43	)	)	PUNCT
jbi-22655	170	44	.	.	PUNCT
jbi-22655	171	1	they	they	PRON
jbi-22655	171	2	found	find	VERB
jbi-22655	171	3	a	a	DET
jbi-22655	171	4	rapid	rapid	ADJ
jbi-22655	171	5	increase	increase	NOUN
jbi-22655	171	6	in	in	ADP
jbi-22655	171	7	accuracy	accuracy	NOUN
jbi-22655	171	8	as	as	SCONJ
jbi-22655	171	9	the	the	DET
jbi-22655	171	10	background	background	NOUN
jbi-22655	171	11	size	size	NOUN
jbi-22655	171	12	expanded	expand	VERB
jbi-22655	171	13	from	from	ADP
jbi-22655	171	14	10	10	NUM
jbi-22655	171	15	to	to	PART
jbi-22655	171	16	100	100	NUM
jbi-22655	171	17	km	km	NOUN
jbi-22655	171	18	(	(	PUNCT
jbi-22655	171	19	roc	roc	NOUN
jbi-22655	171	20	-	-	PUNCT
jbi-22655	171	21	auc	auc	NOUN
jbi-22655	171	22	>	>	X
jbi-22655	171	23	0.93	0.93	NUM
jbi-22655	171	24	)	)	PUNCT
jbi-22655	171	25	,	,	PUNCT
jbi-22655	171	26	with	with	ADP
jbi-22655	171	27	subsequent	subsequent	ADJ
jbi-22655	171	28	expansions	expansion	NOUN
jbi-22655	171	29	beyond	beyond	ADP
jbi-22655	171	30	this	this	DET
jbi-22655	171	31	threshold	threshold	NOUN
jbi-22655	171	32	showing	show	VERB
jbi-22655	171	33	only	only	ADV
jbi-22655	171	34	marginal	marginal	ADJ
jbi-22655	171	35	improvements	improvement	NOUN
jbi-22655	171	36	(	(	PUNCT
jbi-22655	171	37	roc	roc	NOUN
jbi-22655	171	38	-	-	PUNCT
jbi-22655	171	39	auc	auc	NOUN
jbi-22655	171	40	>	>	X
jbi-22655	171	41	0.99	0.99	NUM
jbi-22655	171	42	)	)	PUNCT
jbi-22655	171	43	.	.	PUNCT
jbi-22655	172	1	however	however	ADV
jbi-22655	172	2	,	,	PUNCT
jbi-22655	172	3	an	an	DET
jbi-22655	172	4	important	important	ADJ
jbi-22655	172	5	drawback	drawback	NOUN
jbi-22655	172	6	,	,	PUNCT
jbi-22655	172	7	acknowledged	acknowledge	VERB
jbi-22655	172	8	by	by	ADP
jbi-22655	172	9	the	the	DET
jbi-22655	172	10	authors	author	NOUN
jbi-22655	172	11	,	,	PUNCT
jbi-22655	172	12	was	be	AUX
jbi-22655	172	13	the	the	DET
jbi-22655	172	14	potential	potential	ADJ
jbi-22655	172	15	overestimation	overestimation	NOUN
jbi-22655	172	16	of	of	ADP
jbi-22655	172	17	model	model	NOUN
jbi-22655	172	18	accuracy	accuracy	NOUN
jbi-22655	172	19	when	when	SCONJ
jbi-22655	172	20	assessed	assess	VERB
jbi-22655	172	21	over	over	ADP
jbi-22655	172	22	a	a	DET
jbi-22655	172	23	large	large	ADJ
jbi-22655	172	24	geographical	geographical	ADJ
jbi-22655	172	25	extent	extent	NOUN
jbi-22655	172	26	(	(	PUNCT
jbi-22655	172	27	lobo	lobo	NOUN
jbi-22655	172	28	et	et	PROPN
jbi-22655	172	29	al	al	PROPN
jbi-22655	172	30	.	.	PROPN
jbi-22655	172	31	2008	2008	NUM
jbi-22655	172	32	)	)	PUNCT
jbi-22655	172	33	.	.	PUNCT
jbi-22655	173	1	vanderwal	vanderwal	NOUN
jbi-22655	173	2	et	et	PROPN
jbi-22655	173	3	al	al	PROPN
jbi-22655	173	4	.	.	PROPN
jbi-22655	174	1	(	(	PUNCT
jbi-22655	174	2	2009	2009	NUM
jbi-22655	174	3	)	)	PUNCT
jbi-22655	174	4	recognized	recognize	VERB
jbi-22655	174	5	this	this	DET
jbi-22655	174	6	phenomenon	phenomenon	NOUN
jbi-22655	174	7	and	and	CCONJ
jbi-22655	174	8	used	use	VERB
jbi-22655	174	9	a	a	DET
jbi-22655	174	10	fixed	fix	VERB
jbi-22655	174	11	evaluation	evaluation	NOUN
jbi-22655	174	12	area	area	NOUN
jbi-22655	174	13	to	to	PART
jbi-22655	174	14	calculate	calculate	VERB
jbi-22655	174	15	auc	auc	NOUN
jbi-22655	174	16	values	value	NOUN
jbi-22655	174	17	across	across	ADP
jbi-22655	174	18	all	all	DET
jbi-22655	174	19	species	specie	NOUN
jbi-22655	174	20	.	.	PUNCT
jbi-22655	175	1	their	their	PRON
jbi-22655	175	2	findings	finding	NOUN
jbi-22655	175	3	showed	show	VERB
jbi-22655	175	4	that	that	SCONJ
jbi-22655	175	5	the	the	DET
jbi-22655	175	6	“	"	PUNCT
jbi-22655	175	7	fixed	fix	VERB
jbi-22655	175	8	-	-	PUNCT
jbi-22655	175	9	area	area	NOUN
jbi-22655	175	10	”	"	PUNCT
jbi-22655	175	11	accuracy	accuracy	NOUN
jbi-22655	175	12	was	be	AUX
jbi-22655	175	13	maximum	maximum	ADJ
jbi-22655	175	14	at	at	ADP
jbi-22655	175	15	a	a	DET
jbi-22655	175	16	background	background	NOUN
jbi-22655	175	17	size	size	NOUN
jbi-22655	175	18	around	around	ADP
jbi-22655	175	19	200	200	NUM
jbi-22655	175	20	km	km	NOUN
jbi-22655	175	21	,	,	PUNCT
jbi-22655	175	22	and	and	CCONJ
jbi-22655	175	23	it	it	PRON
jbi-22655	175	24	gradually	gradually	ADV
jbi-22655	175	25	decreased	decrease	VERB
jbi-22655	175	26	as	as	SCONJ
jbi-22655	175	27	points	point	NOUN
jbi-22655	175	28	were	be	AUX
jbi-22655	175	29	generated	generate	VERB
jbi-22655	175	30	from	from	ADP
jbi-22655	175	31	larger	large	ADJ
jbi-22655	175	32	regions	region	NOUN
jbi-22655	175	33	.	.	PUNCT
jbi-22655	176	1	it	it	PRON
jbi-22655	176	2	is	be	AUX
jbi-22655	176	3	important	important	ADJ
jbi-22655	176	4	to	to	PART
jbi-22655	176	5	note	note	VERB
jbi-22655	176	6	that	that	SCONJ
jbi-22655	176	7	the	the	DET
jbi-22655	176	8	use	use	NOUN
jbi-22655	176	9	of	of	ADP
jbi-22655	176	10	simulated	simulated	ADJ
jbi-22655	176	11	data	datum	NOUN
jbi-22655	176	12	with	with	ADP
jbi-22655	176	13	known	know	VERB
jbi-22655	176	14	occurrence	occurrence	NOUN
jbi-22655	176	15	probabilities	probability	NOUN
jbi-22655	176	16	allows	allow	VERB
jbi-22655	176	17	us	we	PRON
jbi-22655	176	18	to	to	PART
jbi-22655	176	19	directly	directly	ADV
jbi-22655	176	20	assess	assess	VERB
jbi-22655	176	21	the	the	DET
jbi-22655	176	22	accuracy	accuracy	NOUN
jbi-22655	176	23	of	of	ADP
jbi-22655	176	24	the	the	DET
jbi-22655	176	25	models	model	NOUN
jbi-22655	176	26	without	without	ADP
jbi-22655	176	27	relying	rely	VERB
jbi-22655	176	28	solely	solely	ADV
jbi-22655	176	29	on	on	ADP
jbi-22655	176	30	the	the	DET
jbi-22655	176	31	discrimination	discrimination	NOUN
jbi-22655	176	32	metrics	metric	NOUN
jbi-22655	176	33	,	,	PUNCT
jbi-22655	176	34	thereby	thereby	ADV
jbi-22655	176	35	ensuring	ensure	VERB
jbi-22655	176	36	that	that	SCONJ
jbi-22655	176	37	our	our	PRON
jbi-22655	176	38	findings	finding	NOUN
jbi-22655	176	39	are	be	AUX
jbi-22655	176	40	not	not	PART
jbi-22655	176	41	artifacts	artifact	NOUN
jbi-22655	176	42	of	of	ADP
jbi-22655	176	43	these	these	DET
jbi-22655	176	44	metrics	metric	NOUN
jbi-22655	176	45	.	.	PUNCT
jbi-22655	177	1	in	in	ADP
jbi-22655	177	2	a	a	DET
jbi-22655	177	3	similar	similar	ADJ
jbi-22655	177	4	way	way	NOUN
jbi-22655	177	5	,	,	PUNCT
jbi-22655	177	6	acevedo	acevedo	PROPN
jbi-22655	177	7	et	et	PROPN
jbi-22655	177	8	al	al	PROPN
jbi-22655	177	9	.	.	PROPN
jbi-22655	177	10	(	(	PUNCT
jbi-22655	177	11	2012	2012	NUM
jbi-22655	177	12	)	)	PUNCT
jbi-22655	177	13	conducted	conduct	VERB
jbi-22655	177	14	a	a	DET
jbi-22655	177	15	study	study	NOUN
jbi-22655	177	16	using	use	VERB
jbi-22655	177	17	data	datum	NOUN
jbi-22655	177	18	from	from	ADP
jbi-22655	177	19	four	four	NUM
jbi-22655	177	20	ungulate	ungulate	ADJ
jbi-22655	177	21	species	specie	NOUN
jbi-22655	177	22	in	in	ADP
jbi-22655	177	23	spain	spain	PROPN
jbi-22655	177	24	to	to	PART
jbi-22655	177	25	evaluate	evaluate	VERB
jbi-22655	177	26	the	the	DET
jbi-22655	177	27	predictive	predictive	ADJ
jbi-22655	177	28	accuracy	accuracy	NOUN
jbi-22655	177	29	of	of	ADP
jbi-22655	177	30	sdm	sdm	PROPN
jbi-22655	177	31	calibrated	calibrate	VERB
jbi-22655	177	32	over	over	ADP
jbi-22655	177	33	varying	vary	VERB
jbi-22655	177	34	extents	extent	NOUN
jbi-22655	177	35	of	of	ADP
jbi-22655	177	36	calibration	calibration	NOUN
jbi-22655	177	37	areas	area	NOUN
jbi-22655	177	38	.	.	PUNCT
jbi-22655	178	1	their	their	PRON
jbi-22655	178	2	results	result	NOUN
jbi-22655	178	3	showed	show	VERB
jbi-22655	178	4	that	that	SCONJ
jbi-22655	178	5	while	while	SCONJ
jbi-22655	178	6	calibration	calibration	NOUN
jbi-22655	178	7	accuracy	accuracy	NOUN
jbi-22655	178	8	(	(	PUNCT
jbi-22655	178	9	miller	miller	PROPN
jbi-22655	178	10	’s	’s	PART
jbi-22655	178	11	statistic	statistic	NOUN
jbi-22655	178	12	)	)	PUNCT
jbi-22655	178	13	declined	decline	VERB
jbi-22655	178	14	with	with	ADP
jbi-22655	178	15	the	the	DET
jbi-22655	178	16	expansion	expansion	NOUN
jbi-22655	178	17	of	of	ADP
jbi-22655	178	18	the	the	DET
jbi-22655	178	19	calibration	calibration	NOUN
jbi-22655	178	20	region	region	NOUN
jbi-22655	178	21	,	,	PUNCT
jbi-22655	178	22	discrimination	discrimination	NOUN
jbi-22655	178	23	accuracy	accuracy	NOUN
jbi-22655	178	24	(	(	PUNCT
jbi-22655	178	25	rocauc	rocauc	NOUN
jbi-22655	178	26	)	)	PUNCT
jbi-22655	178	27	increased	increase	VERB
jbi-22655	178	28	.	.	PUNCT
jbi-22655	179	1	this	this	DET
jbi-22655	179	2	approach	approach	NOUN
jbi-22655	179	3	allowed	allow	VERB
jbi-22655	179	4	for	for	ADP
jbi-22655	179	5	the	the	DET
jbi-22655	179	6	generation	generation	NOUN
jbi-22655	179	7	of	of	ADP
jbi-22655	179	8	purely	purely	ADV
jbi-22655	179	9	environmental	environmental	ADJ
jbi-22655	179	10	models	model	NOUN
jbi-22655	179	11	that	that	PRON
jbi-22655	179	12	,	,	PUNCT
jbi-22655	179	13	when	when	SCONJ
jbi-22655	179	14	projected	project	VERB
jbi-22655	179	15	onto	onto	ADP
jbi-22655	179	16	a	a	DET
jbi-22655	179	17	new	new	ADJ
jbi-22655	179	18	scenario	scenario	NOUN
jbi-22655	179	19	,	,	PUNCT
jbi-22655	179	20	depicted	depict	VERB
jbi-22655	179	21	the	the	DET
jbi-22655	179	22	potential	potential	ADJ
jbi-22655	179	23	distribution	distribution	NOUN
jbi-22655	179	24	of	of	ADP
jbi-22655	179	25	the	the	DET
jbi-22655	179	26	species	specie	NOUN
jbi-22655	179	27	.	.	PUNCT
jbi-22655	180	1	more	more	ADV
jbi-22655	180	2	recently	recently	ADV
jbi-22655	180	3	feng	feng	X
jbi-22655	180	4	(	(	PUNCT
jbi-22655	180	5	2023	2023	NUM
jbi-22655	180	6	)	)	PUNCT
jbi-22655	180	7	,	,	PUNCT
jbi-22655	180	8	working	work	VERB
jbi-22655	180	9	with	with	ADP
jbi-22655	180	10	87	87	NUM
jbi-22655	180	11	hummingbird	hummingbird	PROPN
jbi-22655	180	12	species	specie	NOUN
jbi-22655	180	13	,	,	PUNCT
jbi-22655	180	14	evaluated	evaluate	VERB
jbi-22655	180	15	the	the	DET
jbi-22655	180	16	effect	effect	NOUN
jbi-22655	180	17	of	of	ADP
jbi-22655	180	18	a	a	DET
jbi-22655	180	19	series	series	NOUN
jbi-22655	180	20	of	of	ADP
jbi-22655	180	21	buffers	buffer	NOUN
jbi-22655	180	22	created	create	VERB
jbi-22655	180	23	around	around	ADP
jbi-22655	180	24	occurrences	occurrence	NOUN
jbi-22655	180	25	(	(	PUNCT
jbi-22655	180	26	from	from	ADP
jbi-22655	180	27	5	5	NUM
jbi-22655	180	28	to	to	PART
jbi-22655	180	29	5000	5000	NUM
jbi-22655	180	30	km	km	NOUN
jbi-22655	180	31	)	)	PUNCT
jbi-22655	180	32	as	as	ADP
jbi-22655	180	33	calibration	calibration	NOUN
jbi-22655	180	34	areas	area	NOUN
jbi-22655	180	35	.	.	PUNCT
jbi-22655	181	1	the	the	DET
jbi-22655	181	2	models	model	NOUN
jbi-22655	181	3	calibrated	calibrate	VERB
jbi-22655	181	4	with	with	ADP
jbi-22655	181	5	spatial	spatial	ADJ
jbi-22655	181	6	buffers	buffer	NOUN
jbi-22655	181	7	were	be	AUX
jbi-22655	181	8	compared	compare	VERB
jbi-22655	181	9	with	with	ADP
jbi-22655	181	10	models	model	NOUN
jbi-22655	181	11	calibrated	calibrate	VERB
jbi-22655	181	12	with	with	ADP
jbi-22655	181	13	regions	region	NOUN
jbi-22655	181	14	considered	consider	VERB
jbi-22655	181	15	areas	area	NOUN
jbi-22655	181	16	accessible	accessible	ADJ
jbi-22655	181	17	to	to	ADP
jbi-22655	181	18	species	specie	NOUN
jbi-22655	181	19	.	.	PUNCT
jbi-22655	182	1	as	as	ADP
jbi-22655	182	2	a	a	DET
jbi-22655	182	3	result	result	NOUN
jbi-22655	182	4	,	,	PUNCT
jbi-22655	182	5	discrimination	discrimination	NOUN
jbi-22655	182	6	accuracy	accuracy	NOUN
jbi-22655	182	7	increased	increase	VERB
jbi-22655	182	8	when	when	SCONJ
jbi-22655	182	9	the	the	DET
jbi-22655	182	10	size	size	NOUN
jbi-22655	182	11	of	of	ADP
jbi-22655	182	12	the	the	DET
jbi-22655	182	13	calibration	calibration	NOUN
jbi-22655	182	14	area	area	NOUN
jbi-22655	182	15	was	be	AUX
jbi-22655	182	16	larger	large	ADJ
jbi-22655	182	17	,	,	PUNCT
jbi-22655	182	18	but	but	CCONJ
jbi-22655	182	19	it	it	PRON
jbi-22655	182	20	reached	reach	VERB
jbi-22655	182	21	a	a	DET
jbi-22655	182	22	species	species	NOUN
jbi-22655	182	23	-	-	PUNCT
jbi-22655	182	24	specific	specific	ADJ
jbi-22655	182	25	saturation	saturation	NOUN
jbi-22655	182	26	threshold	threshold	NOUN
jbi-22655	182	27	.	.	PUNCT
jbi-22655	183	1	although	although	SCONJ
jbi-22655	183	2	the	the	DET
jbi-22655	183	3	evaluation	evaluation	NOUN
jbi-22655	183	4	method	method	NOUN
jbi-22655	183	5	affected	affect	VERB
jbi-22655	183	6	this	this	DET
jbi-22655	183	7	criterion	criterion	NOUN
jbi-22655	183	8	,	,	PUNCT
jbi-22655	183	9	it	it	PRON
jbi-22655	183	10	was	be	AUX
jbi-22655	183	11	typically	typically	ADV
jbi-22655	183	12	estimated	estimate	VERB
jbi-22655	183	13	to	to	PART
jbi-22655	183	14	be	be	AUX
jbi-22655	183	15	less	less	ADJ
jbi-22655	183	16	than	than	ADP
jbi-22655	183	17	200	200	NUM
jbi-22655	183	18	km	km	NOUN
jbi-22655	183	19	.	.	PUNCT
jbi-22655	184	1	surprisingly	surprisingly	ADV
jbi-22655	184	2	,	,	PUNCT
jbi-22655	184	3	model	model	NOUN
jbi-22655	184	4	accuracy	accuracy	NOUN
jbi-22655	184	5	based	base	VERB
jbi-22655	184	6	on	on	ADP
jbi-22655	184	7	areas	area	NOUN
jbi-22655	184	8	accessible	accessible	ADJ
jbi-22655	184	9	to	to	ADP
jbi-22655	184	10	species	specie	NOUN
jbi-22655	184	11	was	be	AUX
jbi-22655	184	12	comparable	comparable	ADJ
jbi-22655	184	13	to	to	ADP
jbi-22655	184	14	the	the	DET
jbi-22655	184	15	saturation	saturation	NOUN
jbi-22655	184	16	accuracy	accuracy	NOUN
jbi-22655	184	17	of	of	ADP
jbi-22655	184	18	models	model	NOUN
jbi-22655	184	19	when	when	SCONJ
jbi-22655	184	20	spatial	spatial	ADJ
jbi-22655	184	21	buffers	buffer	NOUN
jbi-22655	184	22	were	be	AUX
jbi-22655	184	23	used	use	VERB
jbi-22655	184	24	.	.	PUNCT
jbi-22655	185	1	in	in	ADP
jbi-22655	185	2	the	the	DET
jbi-22655	185	3	present	present	ADJ
jbi-22655	185	4	study	study	NOUN
jbi-22655	185	5	,	,	PUNCT
jbi-22655	185	6	the	the	DET
jbi-22655	185	7	comparison	comparison	NOUN
jbi-22655	185	8	between	between	ADP
jbi-22655	185	9	unbiased	unbiased	ADJ
jbi-22655	185	10	models	model	NOUN
jbi-22655	185	11	within	within	ADP
jbi-22655	185	12	each	each	DET
jbi-22655	185	13	species	specie	NOUN
jbi-22655	185	14	’	'	PUNCT
jbi-22655	185	15	accessible	accessible	ADJ
jbi-22655	185	16	areas	area	NOUN
jbi-22655	185	17	and	and	CCONJ
jbi-22655	185	18	the	the	DET
jbi-22655	185	19	rest	rest	NOUN
jbi-22655	185	20	of	of	ADP
jbi-22655	185	21	the	the	DET
jbi-22655	185	22	models	model	NOUN
jbi-22655	185	23	highlights	highlight	VERB
jbi-22655	185	24	a	a	DET
jbi-22655	185	25	significant	significant	ADJ
jbi-22655	185	26	challenge	challenge	NOUN
jbi-22655	185	27	:	:	PUNCT
jbi-22655	185	28	determining	determine	VERB
jbi-22655	185	29	the	the	DET
jbi-22655	185	30	accessible	accessible	ADJ
jbi-22655	185	31	area	area	NOUN
jbi-22655	185	32	of	of	ADP
jbi-22655	185	33	a	a	DET
jbi-22655	185	34	species	specie	NOUN
jbi-22655	185	35	.	.	PUNCT
jbi-22655	186	1	unbiased	unbiased	ADJ
jbi-22655	186	2	models	model	NOUN
jbi-22655	186	3	consistently	consistently	ADV
jbi-22655	186	4	demonstrated	demonstrate	VERB
jbi-22655	186	5	excellent	excellent	ADJ
jbi-22655	186	6	performance	performance	NOUN
jbi-22655	186	7	,	,	PUNCT
jbi-22655	186	8	achieving	achieve	VERB
jbi-22655	186	9	high	high	ADJ
jbi-22655	186	10	functional	functional	ADJ
jbi-22655	186	11	accuracy	accuracy	NOUN
jbi-22655	186	12	across	across	ADP
jbi-22655	186	13	all	all	DET
jbi-22655	186	14	species	specie	NOUN
jbi-22655	186	15	.	.	PUNCT
jbi-22655	187	1	in	in	ADP
jbi-22655	187	2	contrast	contrast	NOUN
jbi-22655	187	3	,	,	PUNCT
jbi-22655	187	4	the	the	DET
jbi-22655	187	5	rest	rest	NOUN
jbi-22655	187	6	of	of	ADP
jbi-22655	187	7	the	the	DET
jbi-22655	187	8	models	model	NOUN
jbi-22655	187	9	exhibited	exhibit	VERB
jbi-22655	187	10	more	more	ADJ
jbi-22655	187	11	variable	variable	ADJ
jbi-22655	187	12	accuracy	accuracy	NOUN
jbi-22655	187	13	,	,	PUNCT
jbi-22655	187	14	with	with	ADP
jbi-22655	187	15	some	some	DET
jbi-22655	187	16	species	specie	NOUN
jbi-22655	187	17	displaying	display	VERB
jbi-22655	187	18	even	even	ADV
jbi-22655	187	19	negative	negative	ADJ
jbi-22655	187	20	functional	functional	ADJ
jbi-22655	187	21	accuracies	accuracy	NOUN
jbi-22655	187	22	.	.	PUNCT
jbi-22655	188	1	this	this	DET
jbi-22655	188	2	discrepancy	discrepancy	NOUN
jbi-22655	188	3	underscores	underscore	VERB
jbi-22655	188	4	the	the	DET
jbi-22655	188	5	importance	importance	NOUN
jbi-22655	188	6	of	of	ADP
jbi-22655	188	7	considering	consider	VERB
jbi-22655	188	8	species	specie	NOUN
jbi-22655	188	9	-	-	PUNCT
jbi-22655	188	10	specific	specific	ADJ
jbi-22655	188	11	characteristics	characteristic	NOUN
jbi-22655	188	12	and	and	CCONJ
jbi-22655	188	13	selecting	select	VERB
jbi-22655	188	14	appropriate	appropriate	ADJ
jbi-22655	188	15	calibration	calibration	NOUN
jbi-22655	188	16	areas	area	NOUN
jbi-22655	188	17	to	to	PART
jbi-22655	188	18	ensure	ensure	VERB
jbi-22655	188	19	accurate	accurate	ADJ
jbi-22655	188	20	model	model	NOUN
jbi-22655	188	21	predictions	prediction	NOUN
jbi-22655	188	22	.	.	PUNCT
jbi-22655	189	1	the	the	DET
jbi-22655	189	2	findings	finding	NOUN
jbi-22655	189	3	suggest	suggest	VERB
jbi-22655	189	4	that	that	SCONJ
jbi-22655	189	5	modeling	modeling	NOUN
jbi-22655	189	6	within	within	ADP
jbi-22655	189	7	species	specie	NOUN
jbi-22655	189	8	’	'	PUNCT
jbi-22655	189	9	accessible	accessible	ADJ
jbi-22655	189	10	areas	area	NOUN
jbi-22655	189	11	can	can	AUX
jbi-22655	189	12	mitigate	mitigate	VERB
jbi-22655	189	13	biases	bias	NOUN
jbi-22655	189	14	and	and	CCONJ
jbi-22655	189	15	improve	improve	VERB
jbi-22655	189	16	model	model	NOUN
jbi-22655	189	17	reliability	reliability	NOUN
jbi-22655	189	18	,	,	PUNCT
jbi-22655	189	19	highlighting	highlight	VERB
jbi-22655	189	20	the	the	DET
jbi-22655	189	21	potential	potential	ADJ
jbi-22655	189	22	benefits	benefit	NOUN
jbi-22655	189	23	of	of	ADP
jbi-22655	189	24	adopting	adopt	VERB
jbi-22655	189	25	unbiased	unbiased	ADJ
jbi-22655	189	26	approaches	approach	NOUN
jbi-22655	189	27	in	in	ADP
jbi-22655	189	28	sdm	sdm	NOUN
jbi-22655	189	29	studies	study	NOUN
jbi-22655	189	30	.	.	PUNCT
jbi-22655	190	1	luna	luna	PROPN
jbi-22655	190	2	et	et	PROPN
jbi-22655	190	3	al	al	PROPN
jbi-22655	190	4	.	.	PROPN
jbi-22655	190	5	–	–	PUNCT
jbi-22655	190	6	species	species	NOUN
jbi-22655	190	7	distribution	distribution	NOUN
jbi-22655	190	8	model	model	NOUN
jbi-22655	190	9	accuracy	accuracy	NOUN
jbi-22655	190	10	influenced	influence	VERB
jbi-22655	190	11	by	by	ADP
jbi-22655	190	12	calibration	calibration	NOUN
jbi-22655	190	13	area	area	NOUN
jbi-22655	190	14	51	51	NUM
jbi-22655	190	15	in	in	ADP
jbi-22655	190	16	contrast	contrast	NOUN
jbi-22655	190	17	to	to	ADP
jbi-22655	190	18	our	our	PRON
jbi-22655	190	19	findings	finding	NOUN
jbi-22655	190	20	,	,	PUNCT
jbi-22655	190	21	lobo	lobo	NOUN
jbi-22655	190	22	and	and	CCONJ
jbi-22655	190	23	tognelli	tognelli	PROPN
jbi-22655	190	24	(	(	PUNCT
jbi-22655	190	25	2011	2011	NUM
jbi-22655	190	26	)	)	PUNCT
jbi-22655	190	27	reported	report	VERB
jbi-22655	190	28	different	different	ADJ
jbi-22655	190	29	results	result	NOUN
jbi-22655	190	30	.	.	PUNCT
jbi-22655	191	1	they	they	PRON
jbi-22655	191	2	investigated	investigate	VERB
jbi-22655	191	3	the	the	DET
jbi-22655	191	4	impacts	impact	NOUN
jbi-22655	191	5	of	of	ADP
jbi-22655	191	6	spatial	spatial	ADJ
jbi-22655	191	7	sampling	sampling	NOUN
jbi-22655	191	8	bias	bias	NOUN
jbi-22655	191	9	,	,	PUNCT
jbi-22655	191	10	and	and	CCONJ
jbi-22655	191	11	the	the	DET
jbi-22655	191	12	number	number	NOUN
jbi-22655	191	13	and	and	CCONJ
jbi-22655	191	14	location	location	NOUN
jbi-22655	191	15	of	of	ADP
jbi-22655	191	16	pseudo	pseudo	NOUN
jbi-22655	191	17	-	-	NOUN
jbi-22655	191	18	absences	absence	NOUN
jbi-22655	191	19	on	on	ADP
jbi-22655	191	20	model	model	NOUN
jbi-22655	191	21	accuracy	accuracy	NOUN
jbi-22655	191	22	using	use	VERB
jbi-22655	191	23	virtual	virtual	ADJ
jbi-22655	191	24	species	specie	NOUN
jbi-22655	191	25	.	.	PUNCT
jbi-22655	192	1	their	their	PRON
jbi-22655	192	2	results	result	NOUN
jbi-22655	192	3	indicated	indicate	VERB
jbi-22655	192	4	that	that	SCONJ
jbi-22655	192	5	the	the	DET
jbi-22655	192	6	number	number	NOUN
jbi-22655	192	7	of	of	ADP
jbi-22655	192	8	pseudo	pseudo	NOUN
jbi-22655	192	9	-	-	NOUN
jbi-22655	192	10	absences	absence	NOUN
jbi-22655	192	11	and	and	CCONJ
jbi-22655	192	12	the	the	DET
jbi-22655	192	13	presence	presence	NOUN
jbi-22655	192	14	of	of	ADP
jbi-22655	192	15	spatial	spatial	ADJ
jbi-22655	192	16	bias	bias	NOUN
jbi-22655	192	17	in	in	ADP
jbi-22655	192	18	sampling	sample	VERB
jbi-22655	192	19	localities	locality	NOUN
jbi-22655	192	20	,	,	PUNCT
jbi-22655	192	21	along	along	ADP
jbi-22655	192	22	with	with	ADP
jbi-22655	192	23	their	their	PRON
jbi-22655	192	24	interaction	interaction	NOUN
jbi-22655	192	25	,	,	PUNCT
jbi-22655	192	26	exerted	exert	VERB
jbi-22655	192	27	a	a	DET
jbi-22655	192	28	substantial	substantial	ADJ
jbi-22655	192	29	influence	influence	NOUN
jbi-22655	192	30	on	on	ADP
jbi-22655	192	31	model	model	NOUN
jbi-22655	192	32	accuracy	accuracy	NOUN
jbi-22655	192	33	(	(	PUNCT
jbi-22655	192	34	interpreted	interpret	VERB
jbi-22655	192	35	here	here	ADV
jbi-22655	192	36	with	with	ADP
jbi-22655	192	37	roc	roc	NOUN
jbi-22655	192	38	-	-	PUNCT
jbi-22655	192	39	auc	auc	NOUN
jbi-22655	192	40	,	,	PUNCT
jbi-22655	192	41	but	but	CCONJ
jbi-22655	192	42	they	they	PRON
jbi-22655	192	43	also	also	ADV
jbi-22655	192	44	evaluated	evaluate	VERB
jbi-22655	192	45	sensitivity	sensitivity	NOUN
jbi-22655	192	46	and	and	CCONJ
jbi-22655	192	47	specificity	specificity	NOUN
jbi-22655	192	48	)	)	PUNCT
jbi-22655	192	49	.	.	PUNCT
jbi-22655	193	1	as	as	SCONJ
jbi-22655	193	2	expected	expect	VERB
jbi-22655	193	3	,	,	PUNCT
jbi-22655	193	4	higher	high	ADJ
jbi-22655	193	5	number	number	NOUN
jbi-22655	193	6	of	of	ADP
jbi-22655	193	7	pseudo	pseudo	NOUN
jbi-22655	193	8	-	-	NOUN
jbi-22655	193	9	absences	absence	NOUN
jbi-22655	193	10	coupled	couple	VERB
jbi-22655	193	11	with	with	ADP
jbi-22655	193	12	an	an	DET
jbi-22655	193	13	absence	absence	NOUN
jbi-22655	193	14	of	of	ADP
jbi-22655	193	15	spatial	spatial	ADJ
jbi-22655	193	16	bias	bias	NOUN
jbi-22655	193	17	yielded	yield	VERB
jbi-22655	193	18	superior	superior	ADJ
jbi-22655	193	19	models	model	NOUN
jbi-22655	193	20	.	.	PUNCT
jbi-22655	194	1	the	the	DET
jbi-22655	194	2	location	location	NOUN
jbi-22655	194	3	of	of	ADP
jbi-22655	194	4	pseudo	pseudo	NOUN
jbi-22655	194	5	-	-	NOUN
jbi-22655	194	6	absences	absence	NOUN
jbi-22655	194	7	,	,	PUNCT
jbi-22655	194	8	whether	whether	SCONJ
jbi-22655	194	9	distributed	distribute	VERB
jbi-22655	194	10	across	across	ADP
jbi-22655	194	11	the	the	DET
jbi-22655	194	12	entire	entire	ADJ
jbi-22655	194	13	study	study	NOUN
jbi-22655	194	14	area	area	NOUN
jbi-22655	194	15	or	or	CCONJ
jbi-22655	194	16	restricted	restrict	VERB
jbi-22655	194	17	to	to	ADP
jbi-22655	194	18	regions	region	NOUN
jbi-22655	194	19	outside	outside	ADP
jbi-22655	194	20	the	the	DET
jbi-22655	194	21	environmental	environmental	ADJ
jbi-22655	194	22	envelope	envelope	NOUN
jbi-22655	194	23	of	of	ADP
jbi-22655	194	24	the	the	DET
jbi-22655	194	25	species	specie	NOUN
jbi-22655	194	26	,	,	PUNCT
jbi-22655	194	27	had	have	VERB
jbi-22655	194	28	a	a	DET
jbi-22655	194	29	relatively	relatively	ADV
jbi-22655	194	30	smaller	small	ADJ
jbi-22655	194	31	effect	effect	NOUN
jbi-22655	194	32	on	on	ADP
jbi-22655	194	33	model	model	NOUN
jbi-22655	194	34	accuracy	accuracy	NOUN
jbi-22655	194	35	.	.	PUNCT
jbi-22655	195	1	they	they	PRON
jbi-22655	195	2	acknowledged	acknowledge	VERB
jbi-22655	195	3	that	that	SCONJ
jbi-22655	195	4	this	this	PRON
jbi-22655	195	5	might	might	AUX
jbi-22655	195	6	be	be	AUX
jbi-22655	195	7	attributed	attribute	VERB
jbi-22655	195	8	to	to	ADP
jbi-22655	195	9	the	the	DET
jbi-22655	195	10	low	low	ADJ
jbi-22655	195	11	relative	relative	ADJ
jbi-22655	195	12	occurrence	occurrence	NOUN
jbi-22655	195	13	area	area	NOUN
jbi-22655	195	14	(	(	PUNCT
jbi-22655	195	15	only	only	ADV
jbi-22655	195	16	3.5	3.5	NUM
jbi-22655	195	17	%	%	NOUN
jbi-22655	195	18	of	of	ADP
jbi-22655	195	19	the	the	DET
jbi-22655	195	20	total	total	ADJ
jbi-22655	195	21	study	study	NOUN
jbi-22655	195	22	area	area	NOUN
jbi-22655	195	23	inhabited	inhabit	VERB
jbi-22655	195	24	by	by	ADP
jbi-22655	195	25	the	the	DET
jbi-22655	195	26	species	specie	NOUN
jbi-22655	195	27	)	)	PUNCT
jbi-22655	195	28	.	.	PUNCT
jbi-22655	196	1	when	when	SCONJ
jbi-22655	196	2	contrasting	contrast	VERB
jbi-22655	196	3	our	our	PRON
jbi-22655	196	4	work	work	NOUN
jbi-22655	196	5	with	with	ADP
jbi-22655	196	6	theirs	theirs	PROPN
jbi-22655	196	7	,	,	PUNCT
jbi-22655	196	8	some	some	DET
jbi-22655	196	9	differences	difference	NOUN
jbi-22655	196	10	stand	stand	VERB
jbi-22655	196	11	out	out	ADP
jbi-22655	196	12	.	.	PUNCT
jbi-22655	197	1	they	they	PRON
jbi-22655	197	2	did	do	AUX
jbi-22655	197	3	not	not	PART
jbi-22655	197	4	account	account	VERB
jbi-22655	197	5	explicitly	explicitly	ADV
jbi-22655	197	6	for	for	ADP
jbi-22655	197	7	the	the	DET
jbi-22655	197	8	dispersal	dispersal	NOUN
jbi-22655	197	9	capabilities	capability	NOUN
jbi-22655	197	10	of	of	ADP
jbi-22655	197	11	the	the	DET
jbi-22655	197	12	species	specie	NOUN
jbi-22655	197	13	,	,	PUNCT
jbi-22655	197	14	potentially	potentially	ADV
jbi-22655	197	15	resulting	result	VERB
jbi-22655	197	16	in	in	ADP
jbi-22655	197	17	an	an	DET
jbi-22655	197	18	overestimation	overestimation	NOUN
jbi-22655	197	19	of	of	ADP
jbi-22655	197	20	the	the	DET
jbi-22655	197	21	realized	realize	VERB
jbi-22655	197	22	distribution	distribution	NOUN
jbi-22655	197	23	(	(	PUNCT
jbi-22655	197	24	araújo	araújo	NOUN
jbi-22655	197	25	and	and	CCONJ
jbi-22655	197	26	pearson	pearson	NOUN
jbi-22655	197	27	2005	2005	NUM
jbi-22655	197	28	)	)	PUNCT
jbi-22655	197	29	.	.	PUNCT
jbi-22655	198	1	in	in	ADP
jbi-22655	198	2	addition	addition	NOUN
jbi-22655	198	3	,	,	PUNCT
jbi-22655	198	4	they	they	PRON
jbi-22655	198	5	employed	employ	VERB
jbi-22655	198	6	thresholded	thresholde	VERB
jbi-22655	198	7	maps	map	NOUN
jbi-22655	198	8	instead	instead	ADV
jbi-22655	198	9	of	of	ADP
jbi-22655	198	10	considering	consider	VERB
jbi-22655	198	11	the	the	DET
jbi-22655	198	12	more	more	ADV
jbi-22655	198	13	accurate	accurate	ADJ
jbi-22655	198	14	occurrence	occurrence	NOUN
jbi-22655	198	15	probability	probability	NOUN
jbi-22655	198	16	(	(	PUNCT
jbi-22655	198	17	leroy	leroy	PROPN
jbi-22655	198	18	et	et	PROPN
jbi-22655	198	19	al	al	PROPN
jbi-22655	198	20	.	.	PROPN
jbi-22655	198	21	2016	2016	NUM
jbi-22655	198	22	;	;	PUNCT
jbi-22655	198	23	meynard	meynard	NOUN
jbi-22655	198	24	et	et	PROPN
jbi-22655	198	25	al	al	PROPN
jbi-22655	198	26	.	.	PROPN
jbi-22655	198	27	2019	2019	NUM
jbi-22655	198	28	)	)	PUNCT
jbi-22655	198	29	.	.	PUNCT
jbi-22655	199	1	also	also	ADV
jbi-22655	199	2	,	,	PUNCT
jbi-22655	199	3	the	the	DET
jbi-22655	199	4	sdm	sdm	NOUN
jbi-22655	199	5	was	be	AUX
jbi-22655	199	6	calibrated	calibrate	VERB
jbi-22655	199	7	using	use	VERB
jbi-22655	199	8	the	the	DET
jbi-22655	199	9	same	same	ADJ
jbi-22655	199	10	bioclimatic	bioclimatic	NOUN
jbi-22655	199	11	variables	variable	NOUN
jbi-22655	199	12	that	that	PRON
jbi-22655	199	13	were	be	AUX
jbi-22655	199	14	used	use	VERB
jbi-22655	199	15	to	to	PART
jbi-22655	199	16	create	create	VERB
jbi-22655	199	17	the	the	DET
jbi-22655	199	18	virtual	virtual	ADJ
jbi-22655	199	19	species	specie	NOUN
jbi-22655	199	20	niche	niche	NOUN
jbi-22655	199	21	.	.	PUNCT
jbi-22655	200	1	they	they	PRON
jbi-22655	200	2	used	use	VERB
jbi-22655	200	3	a	a	DET
jbi-22655	200	4	threshold	threshold	NOUN
jbi-22655	200	5	once	once	ADV
jbi-22655	200	6	more	more	ADJ
jbi-22655	200	7	for	for	ADP
jbi-22655	200	8	model	model	NOUN
jbi-22655	200	9	evaluation	evaluation	NOUN
jbi-22655	200	10	,	,	PUNCT
jbi-22655	200	11	restricting	restrict	VERB
jbi-22655	200	12	the	the	DET
jbi-22655	200	13	use	use	NOUN
jbi-22655	200	14	of	of	ADP
jbi-22655	200	15	data	datum	NOUN
jbi-22655	200	16	pertaining	pertain	VERB
jbi-22655	200	17	to	to	ADP
jbi-22655	200	18	the	the	DET
jbi-22655	200	19	actual	actual	ADJ
jbi-22655	200	20	probability	probability	NOUN
jbi-22655	200	21	of	of	ADP
jbi-22655	200	22	occurrence	occurrence	NOUN
jbi-22655	200	23	.	.	PUNCT
jbi-22655	201	1	finally	finally	ADV
jbi-22655	201	2	,	,	PUNCT
jbi-22655	201	3	they	they	PRON
jbi-22655	201	4	simulated	simulate	VERB
jbi-22655	201	5	a	a	DET
jbi-22655	201	6	single	single	ADJ
jbi-22655	201	7	virtual	virtual	ADJ
jbi-22655	201	8	species	specie	NOUN
jbi-22655	201	9	,	,	PUNCT
jbi-22655	201	10	while	while	SCONJ
jbi-22655	201	11	our	our	PRON
jbi-22655	201	12	study	study	NOUN
jbi-22655	201	13	encompassed	encompass	VERB
jbi-22655	201	14	the	the	DET
jbi-22655	201	15	results	result	NOUN
jbi-22655	201	16	of	of	ADP
jbi-22655	201	17	100	100	NUM
jbi-22655	201	18	virtual	virtual	ADJ
jbi-22655	201	19	species	specie	NOUN
jbi-22655	201	20	(	(	PUNCT
jbi-22655	201	21	in	in	ADP
jbi-22655	201	22	our	our	PRON
jbi-22655	201	23	work	work	NOUN
jbi-22655	201	24	the	the	DET
jbi-22655	201	25	lower	low	ADJ
jbi-22655	201	26	relative	relative	ADJ
jbi-22655	201	27	contribution	contribution	NOUN
jbi-22655	201	28	for	for	ADP
jbi-22655	201	29	the	the	DET
jbi-22655	201	30	calibration	calibration	NOUN
jbi-22655	201	31	area	area	NOUN
jbi-22655	201	32	was	be	AUX
jbi-22655	201	33	2.5	2.5	NUM
jbi-22655	201	34	%	%	NOUN
jbi-22655	201	35	and	and	CCONJ
jbi-22655	201	36	the	the	DET
jbi-22655	201	37	highest	high	ADJ
jbi-22655	201	38	accounted	account	VERB
jbi-22655	201	39	for	for	ADP
jbi-22655	201	40	93	93	NUM
jbi-22655	201	41	%	%	NOUN
jbi-22655	201	42	)	)	PUNCT
jbi-22655	201	43	.	.	PUNCT
jbi-22655	202	1	these	these	DET
jbi-22655	202	2	distinctions	distinction	NOUN
jbi-22655	202	3	highlight	highlight	VERB
jbi-22655	202	4	the	the	DET
jbi-22655	202	5	complexities	complexity	NOUN
jbi-22655	202	6	involved	involve	VERB
jbi-22655	202	7	in	in	ADP
jbi-22655	202	8	modeling	model	VERB
jbi-22655	202	9	species	species	NOUN
jbi-22655	202	10	distributions	distribution	NOUN
jbi-22655	202	11	and	and	CCONJ
jbi-22655	202	12	the	the	DET
jbi-22655	202	13	importance	importance	NOUN
jbi-22655	202	14	of	of	ADP
jbi-22655	202	15	considering	consider	VERB
jbi-22655	202	16	multiple	multiple	ADJ
jbi-22655	202	17	factors	factor	NOUN
jbi-22655	202	18	to	to	PART
jbi-22655	202	19	enhance	enhance	VERB
jbi-22655	202	20	the	the	DET
jbi-22655	202	21	robustness	robustness	NOUN
jbi-22655	202	22	and	and	CCONJ
jbi-22655	202	23	ecological	ecological	ADJ
jbi-22655	202	24	relevance	relevance	NOUN
jbi-22655	202	25	of	of	ADP
jbi-22655	202	26	such	such	ADJ
jbi-22655	202	27	models	model	NOUN
jbi-22655	202	28	.	.	PUNCT
jbi-22655	203	1	increasing	increase	VERB
jbi-22655	203	2	the	the	DET
jbi-22655	203	3	extent	extent	NOUN
jbi-22655	203	4	of	of	ADP
jbi-22655	203	5	the	the	DET
jbi-22655	203	6	calibration	calibration	NOUN
jbi-22655	203	7	area	area	NOUN
jbi-22655	203	8	involves	involve	VERB
jbi-22655	203	9	incorporating	incorporate	VERB
jbi-22655	203	10	data	datum	NOUN
jbi-22655	203	11	that	that	PRON
jbi-22655	203	12	are	be	AUX
jbi-22655	203	13	environmentally	environmentally	ADV
jbi-22655	203	14	more	more	ADV
jbi-22655	203	15	distant	distant	ADJ
jbi-22655	203	16	(	(	PUNCT
jbi-22655	203	17	on	on	ADP
jbi-22655	203	18	average	average	ADJ
jbi-22655	203	19	)	)	PUNCT
jbi-22655	203	20	from	from	ADP
jbi-22655	203	21	the	the	DET
jbi-22655	203	22	occurrences	occurrence	NOUN
jbi-22655	203	23	.	.	PUNCT
jbi-22655	204	1	consequently	consequently	ADV
jbi-22655	204	2	,	,	PUNCT
jbi-22655	204	3	the	the	DET
jbi-22655	204	4	discrimination	discrimination	NOUN
jbi-22655	204	5	accuracy	accuracy	NOUN
jbi-22655	204	6	of	of	ADP
jbi-22655	204	7	the	the	DET
jbi-22655	204	8	model	model	NOUN
jbi-22655	204	9	may	may	AUX
jbi-22655	204	10	increase	increase	VERB
jbi-22655	204	11	due	due	ADP
jbi-22655	204	12	to	to	ADP
jbi-22655	204	13	the	the	DET
jbi-22655	204	14	ease	ease	NOUN
jbi-22655	204	15	to	to	PART
jbi-22655	204	16	parameterize	parameterize	VERB
jbi-22655	204	17	models	model	NOUN
jbi-22655	204	18	with	with	ADP
jbi-22655	204	19	good	good	ADJ
jbi-22655	204	20	discrimination	discrimination	NOUN
jbi-22655	204	21	capacity	capacity	NOUN
jbi-22655	204	22	but	but	CCONJ
jbi-22655	204	23	that	that	PRON
jbi-22655	204	24	are	be	AUX
jbi-22655	204	25	low	low	ADJ
jbi-22655	204	26	in	in	ADP
jbi-22655	204	27	useful	useful	ADJ
jbi-22655	204	28	information	information	NOUN
jbi-22655	204	29	(	(	PUNCT
jbi-22655	204	30	barve	barve	VERB
jbi-22655	204	31	et	et	PROPN
jbi-22655	204	32	al	al	PROPN
jbi-22655	204	33	.	.	PROPN
jbi-22655	204	34	2011	2011	NUM
jbi-22655	204	35	;	;	PUNCT
jbi-22655	204	36	acevedo	acevedo	PROPN
jbi-22655	204	37	et	et	PROPN
jbi-22655	204	38	al	al	PROPN
jbi-22655	204	39	.	.	PROPN
jbi-22655	204	40	2012	2012	NUM
jbi-22655	204	41	)	)	PUNCT
jbi-22655	204	42	.	.	PUNCT
jbi-22655	205	1	this	this	PRON
jbi-22655	205	2	could	could	AUX
jbi-22655	205	3	be	be	AUX
jbi-22655	205	4	the	the	DET
jbi-22655	205	5	result	result	NOUN
jbi-22655	205	6	of	of	ADP
jbi-22655	205	7	larger	large	ADJ
jbi-22655	205	8	calibration	calibration	NOUN
jbi-22655	205	9	areas	area	NOUN
jbi-22655	205	10	covering	cover	VERB
jbi-22655	205	11	places	place	NOUN
jbi-22655	205	12	with	with	ADP
jbi-22655	205	13	appropriate	appropriate	ADJ
jbi-22655	205	14	environmental	environmental	ADJ
jbi-22655	205	15	conditions	condition	NOUN
jbi-22655	205	16	that	that	PRON
jbi-22655	205	17	are	be	AUX
jbi-22655	205	18	unoccupied	unoccupied	ADJ
jbi-22655	205	19	because	because	SCONJ
jbi-22655	205	20	of	of	ADP
jbi-22655	205	21	biotic	biotic	ADJ
jbi-22655	205	22	interactions	interaction	NOUN
jbi-22655	205	23	and/or	and/or	CCONJ
jbi-22655	205	24	dispersal	dispersal	NOUN
jbi-22655	205	25	constrains	constrain	NOUN
jbi-22655	205	26	,	,	PUNCT
jbi-22655	205	27	which	which	PRON
jbi-22655	205	28	could	could	AUX
jbi-22655	205	29	induce	induce	VERB
jbi-22655	205	30	overfitting	overfitting	NOUN
jbi-22655	205	31	to	to	ADP
jbi-22655	205	32	conditions	condition	NOUN
jbi-22655	205	33	close	close	ADV
jbi-22655	205	34	to	to	ADP
jbi-22655	205	35	the	the	DET
jbi-22655	205	36	occupied	occupy	VERB
jbi-22655	205	37	localities	locality	NOUN
jbi-22655	205	38	(	(	PUNCT
jbi-22655	205	39	anderson	anderson	PROPN
jbi-22655	205	40	and	and	CCONJ
jbi-22655	205	41	raza	raza	PROPN
jbi-22655	205	42	2010	2010	NUM
jbi-22655	205	43	)	)	PUNCT
jbi-22655	205	44	.	.	PUNCT
jbi-22655	206	1	on	on	ADP
jbi-22655	206	2	the	the	DET
jbi-22655	206	3	other	other	ADJ
jbi-22655	206	4	hand	hand	NOUN
jbi-22655	206	5	,	,	PUNCT
jbi-22655	206	6	the	the	DET
jbi-22655	206	7	importance	importance	NOUN
jbi-22655	206	8	of	of	ADP
jbi-22655	206	9	coarse	coarse	ADJ
jbi-22655	206	10	-	-	PUNCT
jbi-22655	206	11	scale	scale	NOUN
jbi-22655	206	12	factors	factor	NOUN
jbi-22655	206	13	such	such	ADJ
jbi-22655	206	14	as	as	ADP
jbi-22655	206	15	climate	climate	NOUN
jbi-22655	206	16	may	may	AUX
jbi-22655	206	17	be	be	AUX
jbi-22655	206	18	underestimated	underestimate	VERB
jbi-22655	206	19	at	at	ADP
jbi-22655	206	20	small	small	ADJ
jbi-22655	206	21	calibration	calibration	NOUN
jbi-22655	206	22	areas	area	NOUN
jbi-22655	206	23	(	(	PUNCT
jbi-22655	206	24	barve	barve	VERB
jbi-22655	206	25	et	et	PROPN
jbi-22655	206	26	al	al	PROPN
jbi-22655	206	27	.	.	PROPN
jbi-22655	206	28	2011	2011	NUM
jbi-22655	206	29	;	;	PUNCT
jbi-22655	206	30	acevedo	acevedo	PROPN
jbi-22655	206	31	et	et	PROPN
jbi-22655	206	32	al	al	PROPN
jbi-22655	206	33	.	.	PROPN
jbi-22655	206	34	2012	2012	NUM
jbi-22655	206	35	)	)	PUNCT
jbi-22655	206	36	.	.	PUNCT
jbi-22655	207	1	our	our	PRON
jbi-22655	207	2	results	result	NOUN
jbi-22655	207	3	confirm	confirm	VERB
jbi-22655	207	4	previous	previous	ADJ
jbi-22655	207	5	research	research	NOUN
jbi-22655	207	6	highlighting	highlight	VERB
jbi-22655	207	7	the	the	DET
jbi-22655	207	8	impact	impact	NOUN
jbi-22655	207	9	of	of	ADP
jbi-22655	207	10	the	the	DET
jbi-22655	207	11	calibration	calibration	NOUN
jbi-22655	207	12	area	area	NOUN
jbi-22655	207	13	on	on	ADP
jbi-22655	207	14	model	model	NOUN
jbi-22655	207	15	accuracy	accuracy	NOUN
jbi-22655	207	16	and	and	CCONJ
jbi-22655	207	17	show	show	VERB
jbi-22655	207	18	the	the	DET
jbi-22655	207	19	complexity	complexity	NOUN
jbi-22655	207	20	involved	involve	VERB
jbi-22655	207	21	in	in	ADP
jbi-22655	207	22	its	its	PRON
jbi-22655	207	23	selection	selection	NOUN
jbi-22655	207	24	(	(	PUNCT
jbi-22655	207	25	vanderwal	vanderwal	NOUN
jbi-22655	207	26	et	et	PROPN
jbi-22655	207	27	al	al	PROPN
jbi-22655	207	28	.	.	PROPN
jbi-22655	207	29	2009	2009	NUM
jbi-22655	207	30	)	)	PUNCT
jbi-22655	207	31	.	.	PUNCT
jbi-22655	208	1	the	the	DET
jbi-22655	208	2	environmental	environmental	ADJ
jbi-22655	208	3	equilibrium	equilibrium	PROPN
jbi-22655	208	4	assumption	assumption	NOUN
jbi-22655	208	5	,	,	PUNCT
jbi-22655	208	6	wherein	wherein	SCONJ
jbi-22655	208	7	the	the	DET
jbi-22655	208	8	species	specie	NOUN
jbi-22655	208	9	is	be	AUX
jbi-22655	208	10	adapted	adapt	VERB
jbi-22655	208	11	to	to	ADP
jbi-22655	208	12	its	its	PRON
jbi-22655	208	13	current	current	ADJ
jbi-22655	208	14	environmental	environmental	ADJ
jbi-22655	208	15	conditions	condition	NOUN
jbi-22655	208	16	,	,	PUNCT
jbi-22655	208	17	emphasizes	emphasize	VERB
jbi-22655	208	18	the	the	DET
jbi-22655	208	19	importance	importance	NOUN
jbi-22655	208	20	of	of	ADP
jbi-22655	208	21	choosing	choose	VERB
jbi-22655	208	22	a	a	DET
jbi-22655	208	23	calibration	calibration	NOUN
jbi-22655	208	24	area	area	NOUN
jbi-22655	208	25	that	that	PRON
jbi-22655	208	26	accurately	accurately	ADV
jbi-22655	208	27	reflects	reflect	VERB
jbi-22655	208	28	these	these	DET
jbi-22655	208	29	conditions	condition	NOUN
jbi-22655	208	30	(	(	PUNCT
jbi-22655	208	31	araújo	araújo	NOUN
jbi-22655	208	32	and	and	CCONJ
jbi-22655	208	33	pearson	pearson	NOUN
jbi-22655	208	34	2005	2005	NUM
jbi-22655	208	35	)	)	PUNCT
jbi-22655	208	36	.	.	PUNCT
jbi-22655	209	1	nonetheless	nonetheless	ADV
jbi-22655	209	2	,	,	PUNCT
jbi-22655	209	3	our	our	PRON
jbi-22655	209	4	findings	finding	NOUN
jbi-22655	209	5	,	,	PUNCT
jbi-22655	209	6	along	along	ADP
jbi-22655	209	7	with	with	ADP
jbi-22655	209	8	earlier	early	ADJ
jbi-22655	209	9	research	research	NOUN
jbi-22655	209	10	,	,	PUNCT
jbi-22655	209	11	indicate	indicate	VERB
jbi-22655	209	12	that	that	SCONJ
jbi-22655	209	13	there	there	PRON
jbi-22655	209	14	is	be	VERB
jbi-22655	209	15	no	no	DET
jbi-22655	209	16	agreement	agreement	NOUN
jbi-22655	209	17	on	on	ADP
jbi-22655	209	18	the	the	DET
jbi-22655	209	19	ideal	ideal	ADJ
jbi-22655	209	20	calibration	calibration	NOUN
jbi-22655	209	21	area	area	NOUN
jbi-22655	209	22	(	(	PUNCT
jbi-22655	209	23	rotllan	rotllan	NOUN
jbi-22655	209	24	-	-	PUNCT
jbi-22655	209	25	puig	puig	NOUN
jbi-22655	209	26	and	and	CCONJ
jbi-22655	209	27	traveset	traveset	VERB
jbi-22655	209	28	2021	2021	NUM
jbi-22655	209	29	;	;	PUNCT
jbi-22655	209	30	machado	machado	PROPN
jbi-22655	209	31	-	-	PUNCT
jbi-22655	209	32	stredel	stredel	PROPN
jbi-22655	209	33	et	et	PROPN
jbi-22655	209	34	al	al	PROPN
jbi-22655	209	35	.	.	PROPN
jbi-22655	209	36	2021	2021	NUM
jbi-22655	209	37	)	)	PUNCT
jbi-22655	209	38	.	.	PUNCT
jbi-22655	210	1	as	as	SCONJ
jbi-22655	210	2	some	some	DET
jbi-22655	210	3	correlative	correlative	ADJ
jbi-22655	210	4	methods	method	NOUN
jbi-22655	210	5	for	for	ADP
jbi-22655	210	6	estimating	estimate	VERB
jbi-22655	210	7	ecological	ecological	ADJ
jbi-22655	210	8	niches	niche	NOUN
jbi-22655	210	9	rely	rely	VERB
jbi-22655	210	10	on	on	ADP
jbi-22655	210	11	contrasting	contrast	VERB
jbi-22655	210	12	the	the	DET
jbi-22655	210	13	environmental	environmental	ADJ
jbi-22655	210	14	characteristics	characteristic	NOUN
jbi-22655	210	15	of	of	ADP
jbi-22655	210	16	known	know	VERB
jbi-22655	210	17	occurrence	occurrence	NOUN
jbi-22655	210	18	sites	site	NOUN
jbi-22655	210	19	with	with	ADP
jbi-22655	210	20	those	those	PRON
jbi-22655	210	21	from	from	ADP
jbi-22655	210	22	the	the	DET
jbi-22655	210	23	available	available	ADJ
jbi-22655	210	24	conditions	condition	NOUN
jbi-22655	210	25	across	across	ADP
jbi-22655	210	26	the	the	DET
jbi-22655	210	27	study	study	NOUN
jbi-22655	210	28	area	area	NOUN
jbi-22655	210	29	,	,	PUNCT
jbi-22655	210	30	it	it	PRON
jbi-22655	210	31	becomes	become	VERB
jbi-22655	210	32	imperative	imperative	ADJ
jbi-22655	210	33	to	to	PART
jbi-22655	210	34	delineate	delineate	VERB
jbi-22655	210	35	and	and	CCONJ
jbi-22655	210	36	comprehend	comprehend	VERB
jbi-22655	210	37	the	the	DET
jbi-22655	210	38	potential	potential	ADJ
jbi-22655	210	39	range	range	NOUN
jbi-22655	210	40	the	the	DET
jbi-22655	210	41	species	specie	NOUN
jbi-22655	210	42	might	might	AUX
jbi-22655	210	43	have	have	AUX
jbi-22655	210	44	explored	explore	VERB
jbi-22655	210	45	.	.	PUNCT
jbi-22655	211	1	this	this	PRON
jbi-22655	211	2	is	be	AUX
jbi-22655	211	3	crucial	crucial	ADJ
jbi-22655	211	4	because	because	SCONJ
jbi-22655	211	5	the	the	DET
jbi-22655	211	6	absence	absence	NOUN
jbi-22655	211	7	of	of	ADP
jbi-22655	211	8	a	a	DET
jbi-22655	211	9	species	specie	NOUN
jbi-22655	211	10	outside	outside	ADP
jbi-22655	211	11	its	its	PRON
jbi-22655	211	12	accessible	accessible	ADJ
jbi-22655	211	13	area	area	NOUN
jbi-22655	211	14	is	be	AUX
jbi-22655	211	15	not	not	PART
jbi-22655	211	16	necessarily	necessarily	ADV
jbi-22655	211	17	due	due	ADJ
jbi-22655	211	18	to	to	ADP
jbi-22655	211	19	abiotic	abiotic	ADJ
jbi-22655	211	20	or	or	CCONJ
jbi-22655	211	21	biotic	biotic	ADJ
jbi-22655	211	22	factors	factor	NOUN
jbi-22655	211	23	.	.	PUNCT
jbi-22655	212	1	instead	instead	ADV
jbi-22655	212	2	,	,	PUNCT
jbi-22655	212	3	a	a	DET
jbi-22655	212	4	species	specie	NOUN
jbi-22655	212	5	may	may	AUX
jbi-22655	212	6	be	be	AUX
jbi-22655	212	7	absent	absent	ADJ
jbi-22655	212	8	from	from	ADP
jbi-22655	212	9	suitable	suitable	ADJ
jbi-22655	212	10	regions	region	NOUN
jbi-22655	212	11	simply	simply	ADV
jbi-22655	212	12	due	due	ADP
jbi-22655	212	13	to	to	ADP
jbi-22655	212	14	its	its	PRON
jbi-22655	212	15	inability	inability	NOUN
jbi-22655	212	16	to	to	PART
jbi-22655	212	17	disperse	disperse	VERB
jbi-22655	212	18	and	and	CCONJ
jbi-22655	212	19	reach	reach	VERB
jbi-22655	212	20	those	those	DET
jbi-22655	212	21	areas	area	NOUN
jbi-22655	212	22	(	(	PUNCT
jbi-22655	212	23	anderson	anderson	PROPN
jbi-22655	212	24	and	and	CCONJ
jbi-22655	212	25	raza	raza	PROPN
jbi-22655	212	26	2010	2010	NUM
jbi-22655	212	27	;	;	PUNCT
jbi-22655	212	28	barve	barve	VERB
jbi-22655	212	29	et	et	PROPN
jbi-22655	212	30	al	al	PROPN
jbi-22655	212	31	.	.	PROPN
jbi-22655	212	32	2011	2011	NUM
jbi-22655	212	33	)	)	PUNCT
jbi-22655	212	34	.	.	PUNCT
jbi-22655	213	1	the	the	DET
jbi-22655	213	2	way	way	NOUN
jbi-22655	213	3	in	in	ADP
jbi-22655	213	4	which	which	PRON
jbi-22655	213	5	sdm	sdm	NOUN
jbi-22655	213	6	handle	handle	VERB
jbi-22655	213	7	collinearity	collinearity	NOUN
jbi-22655	213	8	between	between	ADP
jbi-22655	213	9	the	the	DET
jbi-22655	213	10	predictor	predictor	NOUN
jbi-22655	213	11	variables	variable	NOUN
jbi-22655	213	12	(	(	PUNCT
jbi-22655	213	13	feng	feng	PROPN
jbi-22655	213	14	et	et	PROPN
jbi-22655	213	15	al	al	PROPN
jbi-22655	213	16	.	.	PROPN
jbi-22655	213	17	2019	2019	NUM
jbi-22655	213	18	)	)	PUNCT
jbi-22655	213	19	,	,	PUNCT
jbi-22655	213	20	sample	sample	NOUN
jbi-22655	213	21	bias	bias	NOUN
jbi-22655	213	22	(	(	PUNCT
jbi-22655	213	23	ranc	ranc	NOUN
jbi-22655	213	24	et	et	PROPN
jbi-22655	213	25	al	al	PROPN
jbi-22655	213	26	.	.	PROPN
jbi-22655	213	27	2017	2017	NUM
jbi-22655	213	28	;	;	PUNCT
jbi-22655	213	29	inman	inman	PROPN
jbi-22655	213	30	et	et	PROPN
jbi-22655	213	31	al	al	PROPN
jbi-22655	213	32	.	.	PROPN
jbi-22655	213	33	2021	2021	NUM
jbi-22655	213	34	)	)	PUNCT
jbi-22655	213	35	,	,	PUNCT
jbi-22655	213	36	and	and	CCONJ
jbi-22655	213	37	model	model	NOUN
jbi-22655	213	38	complexity	complexity	NOUN
jbi-22655	213	39	are	be	AUX
jbi-22655	213	40	additional	additional	ADJ
jbi-22655	213	41	aspects	aspect	NOUN
jbi-22655	213	42	that	that	PRON
jbi-22655	213	43	could	could	AUX
jbi-22655	213	44	impact	impact	VERB
jbi-22655	213	45	the	the	DET
jbi-22655	213	46	model	model	NOUN
jbi-22655	213	47	accuracy	accuracy	NOUN
jbi-22655	213	48	(	(	PUNCT
jbi-22655	213	49	merow	merow	NOUN
jbi-22655	213	50	et	et	PROPN
jbi-22655	213	51	al	al	PROPN
jbi-22655	213	52	.	.	PROPN
jbi-22655	213	53	2014	2014	NUM
jbi-22655	213	54	)	)	PUNCT
jbi-22655	213	55	.	.	PUNCT
jbi-22655	214	1	however	however	ADV
jbi-22655	214	2	,	,	PUNCT
jbi-22655	214	3	when	when	SCONJ
jbi-22655	214	4	viewed	view	VERB
jbi-22655	214	5	in	in	ADP
jbi-22655	214	6	a	a	DET
jbi-22655	214	7	multifactorial	multifactorial	ADJ
jbi-22655	214	8	way	way	NOUN
jbi-22655	214	9	,	,	PUNCT
jbi-22655	214	10	our	our	PRON
jbi-22655	214	11	results	result	NOUN
jbi-22655	214	12	demonstrate	demonstrate	VERB
jbi-22655	214	13	that	that	SCONJ
jbi-22655	214	14	these	these	DET
jbi-22655	214	15	factors	factor	NOUN
jbi-22655	214	16	have	have	VERB
jbi-22655	214	17	a	a	DET
jbi-22655	214	18	significantly	significantly	ADV
jbi-22655	214	19	smaller	small	ADJ
jbi-22655	214	20	impact	impact	NOUN
jbi-22655	214	21	than	than	ADP
jbi-22655	214	22	the	the	DET
jbi-22655	214	23	selection	selection	NOUN
jbi-22655	214	24	of	of	ADP
jbi-22655	214	25	the	the	DET
jbi-22655	214	26	calibration	calibration	NOUN
jbi-22655	214	27	area	area	NOUN
jbi-22655	214	28	.	.	PUNCT
jbi-22655	215	1	concerning	concern	VERB
jbi-22655	215	2	this	this	PRON
jbi-22655	215	3	,	,	PUNCT
jbi-22655	215	4	barbet‐massin	barbet‐massin	NOUN
jbi-22655	215	5	et	et	PROPN
jbi-22655	215	6	al	al	AUX
jbi-22655	215	7	.	.	PROPN
jbi-22655	216	1	(	(	PUNCT
jbi-22655	216	2	2012	2012	NUM
jbi-22655	216	3	)	)	PUNCT
jbi-22655	216	4	observed	observe	VERB
jbi-22655	216	5	that	that	SCONJ
jbi-22655	216	6	the	the	DET
jbi-22655	216	7	impact	impact	NOUN
jbi-22655	216	8	of	of	ADP
jbi-22655	216	9	different	different	ADJ
jbi-22655	216	10	methodological	methodological	ADJ
jbi-22655	216	11	decisions	decision	NOUN
jbi-22655	216	12	in	in	ADP
jbi-22655	216	13	model	model	NOUN
jbi-22655	216	14	quality	quality	NOUN
jbi-22655	216	15	varied	varied	ADJ
jbi-22655	216	16	depending	depend	VERB
jbi-22655	216	17	on	on	ADP
jbi-22655	216	18	the	the	DET
jbi-22655	216	19	specific	specific	ADJ
jbi-22655	216	20	sdm	sdm	NOUN
jbi-22655	216	21	employed	employ	VERB
jbi-22655	216	22	.	.	PUNCT
jbi-22655	217	1	for	for	ADP
jbi-22655	217	2	machine	machine	NOUN
jbi-22655	217	3	learning	learning	NOUN
jbi-22655	217	4	techniques	technique	NOUN
jbi-22655	217	5	(	(	PUNCT
jbi-22655	217	6	boosted	boost	VERB
jbi-22655	217	7	regression	regression	NOUN
jbi-22655	217	8	trees	tree	NOUN
jbi-22655	217	9	and	and	CCONJ
jbi-22655	217	10	random	random	ADJ
jbi-22655	217	11	forest	forest	NOUN
jbi-22655	217	12	)	)	PUNCT
jbi-22655	217	13	,	,	PUNCT
jbi-22655	217	14	the	the	DET
jbi-22655	217	15	number	number	NOUN
jbi-22655	217	16	of	of	ADP
jbi-22655	217	17	pseudoabsences	pseudoabsence	NOUN
jbi-22655	217	18	explained	explain	VERB
jbi-22655	217	19	a	a	DET
jbi-22655	217	20	greater	great	ADJ
jbi-22655	217	21	amount	amount	NOUN
jbi-22655	217	22	of	of	ADP
jbi-22655	217	23	deviance	deviance	NOUN
jbi-22655	217	24	(	(	PUNCT
jbi-22655	217	25	between	between	ADP
jbi-22655	217	26	20	20	NUM
jbi-22655	217	27	and	and	CCONJ
jbi-22655	217	28	85	85	NUM
jbi-22655	217	29	%	%	NOUN
jbi-22655	217	30	)	)	PUNCT
jbi-22655	217	31	than	than	ADP
jbi-22655	217	32	the	the	DET
jbi-22655	217	33	weighting	weighting	NOUN
jbi-22655	217	34	scheme	scheme	NOUN
jbi-22655	217	35	and	and	CCONJ
jbi-22655	217	36	the	the	DET
jbi-22655	217	37	method	method	NOUN
jbi-22655	217	38	for	for	ADP
jbi-22655	217	39	selecting	select	VERB
jbi-22655	217	40	pseudo	pseudo	NOUN
jbi-22655	217	41	-	-	NOUN
jbi-22655	217	42	absences	absence	NOUN
jbi-22655	217	43	(	(	PUNCT
jbi-22655	217	44	less	less	ADJ
jbi-22655	217	45	than	than	ADP
jbi-22655	217	46	15	15	NUM
jbi-22655	217	47	%	%	NOUN
jbi-22655	217	48	)	)	PUNCT
jbi-22655	217	49	.	.	PUNCT
jbi-22655	218	1	thus	thus	ADV
jbi-22655	218	2	,	,	PUNCT
jbi-22655	218	3	exploring	explore	VERB
jbi-22655	218	4	a	a	DET
jbi-22655	218	5	range	range	NOUN
jbi-22655	218	6	of	of	ADP
jbi-22655	218	7	modeling	model	VERB
jbi-22655	218	8	techniques	technique	NOUN
jbi-22655	218	9	beyond	beyond	ADP
jbi-22655	218	10	maxent	maxent	NOUN
jbi-22655	218	11	is	be	AUX
jbi-22655	218	12	needed	need	VERB
jbi-22655	218	13	to	to	PART
jbi-22655	218	14	further	far	ADV
jbi-22655	218	15	understand	understand	VERB
jbi-22655	218	16	their	their	PRON
jbi-22655	218	17	differential	differential	ADJ
jbi-22655	218	18	responses	response	NOUN
jbi-22655	218	19	and	and	CCONJ
jbi-22655	218	20	implications	implication	NOUN
jbi-22655	218	21	for	for	ADP
jbi-22655	218	22	sdm	sdm	NOUN
jbi-22655	218	23	techniques	technique	NOUN
jbi-22655	218	24	.	.	PUNCT
jbi-22655	219	1	regarding	regard	VERB
jbi-22655	219	2	the	the	DET
jbi-22655	219	3	correlation	correlation	NOUN
jbi-22655	219	4	between	between	ADP
jbi-22655	219	5	functional	functional	ADJ
jbi-22655	219	6	and	and	CCONJ
jbi-22655	219	7	discrimination	discrimination	NOUN
jbi-22655	219	8	accuracy	accuracy	NOUN
jbi-22655	219	9	,	,	PUNCT
jbi-22655	219	10	our	our	PRON
jbi-22655	219	11	results	result	NOUN
jbi-22655	219	12	show	show	VERB
jbi-22655	219	13	that	that	SCONJ
jbi-22655	219	14	luna	luna	PROPN
jbi-22655	219	15	et	et	PROPN
jbi-22655	219	16	al	al	PROPN
jbi-22655	219	17	.	.	PROPN
jbi-22655	219	18	–	–	PUNCT
jbi-22655	219	19	species	species	NOUN
jbi-22655	219	20	distribution	distribution	NOUN
jbi-22655	219	21	model	model	NOUN
jbi-22655	219	22	accuracy	accuracy	NOUN
jbi-22655	219	23	influenced	influence	VERB
jbi-22655	219	24	by	by	ADP
jbi-22655	219	25	calibration	calibration	NOUN
jbi-22655	219	26	area	area	NOUN
jbi-22655	219	27	52	52	NUM
jbi-22655	219	28	this	this	DET
jbi-22655	219	29	correlation	correlation	NOUN
jbi-22655	219	30	is	be	AUX
jbi-22655	219	31	relatively	relatively	ADV
jbi-22655	219	32	low	low	ADJ
jbi-22655	219	33	.	.	PUNCT
jbi-22655	220	1	discrimination	discrimination	NOUN
jbi-22655	220	2	accuracy	accuracy	NOUN
jbi-22655	220	3	based	base	VERB
jbi-22655	220	4	on	on	ADP
jbi-22655	220	5	both	both	DET
jbi-22655	220	6	data	datum	NOUN
jbi-22655	220	7	partition	partition	NOUN
jbi-22655	220	8	schemes	scheme	NOUN
jbi-22655	220	9	were	be	AUX
jbi-22655	220	10	a	a	DET
jbi-22655	220	11	misleading	misleading	ADJ
jbi-22655	220	12	measure	measure	NOUN
jbi-22655	220	13	of	of	ADP
jbi-22655	220	14	functional	functional	ADJ
jbi-22655	220	15	accuracy	accuracy	NOUN
jbi-22655	220	16	.	.	PUNCT
jbi-22655	221	1	however	however	ADV
jbi-22655	221	2	,	,	PUNCT
jbi-22655	221	3	contrary	contrary	ADV
jbi-22655	221	4	to	to	ADP
jbi-22655	221	5	our	our	PRON
jbi-22655	221	6	expectations	expectation	NOUN
jbi-22655	221	7	,	,	PUNCT
jbi-22655	221	8	models	model	NOUN
jbi-22655	221	9	selected	select	VERB
jbi-22655	221	10	with	with	ADP
jbi-22655	221	11	random	random	ADJ
jbi-22655	221	12	partitioning	partitioning	NOUN
jbi-22655	221	13	demonstrated	demonstrate	VERB
jbi-22655	221	14	a	a	DET
jbi-22655	221	15	better	well	ADJ
jbi-22655	221	16	correlation	correlation	NOUN
jbi-22655	221	17	between	between	ADP
jbi-22655	221	18	functional	functional	ADJ
jbi-22655	221	19	and	and	CCONJ
jbi-22655	221	20	discrimination	discrimination	NOUN
jbi-22655	221	21	accuracy	accuracy	NOUN
jbi-22655	221	22	.	.	PUNCT
jbi-22655	222	1	this	this	PRON
jbi-22655	222	2	is	be	AUX
jbi-22655	222	3	surprising	surprising	ADJ
jbi-22655	222	4	because	because	SCONJ
jbi-22655	222	5	we	we	PRON
jbi-22655	222	6	expected	expect	VERB
jbi-22655	222	7	lower	low	ADJ
jbi-22655	222	8	correlation	correlation	NOUN
jbi-22655	222	9	in	in	ADP
jbi-22655	222	10	this	this	DET
jbi-22655	222	11	scenario	scenario	NOUN
jbi-22655	222	12	due	due	ADP
jbi-22655	222	13	to	to	ADP
jbi-22655	222	14	the	the	DET
jbi-22655	222	15	lower	low	ADJ
jbi-22655	222	16	degree	degree	NOUN
jbi-22655	222	17	of	of	ADP
jbi-22655	222	18	independence	independence	NOUN
jbi-22655	222	19	between	between	ADP
jbi-22655	222	20	data	datum	NOUN
jbi-22655	222	21	used	use	VERB
jbi-22655	222	22	for	for	ADP
jbi-22655	222	23	evaluation	evaluation	NOUN
jbi-22655	222	24	and	and	CCONJ
jbi-22655	222	25	calibration	calibration	NOUN
jbi-22655	222	26	.	.	PUNCT
jbi-22655	223	1	these	these	DET
jbi-22655	223	2	findings	finding	NOUN
jbi-22655	223	3	suggest	suggest	VERB
jbi-22655	223	4	that	that	SCONJ
jbi-22655	223	5	random	random	ADJ
jbi-22655	223	6	partitioning	partitioning	NOUN
jbi-22655	223	7	might	might	AUX
jbi-22655	223	8	be	be	AUX
jbi-22655	223	9	more	more	ADV
jbi-22655	223	10	effective	effective	ADJ
jbi-22655	223	11	in	in	ADP
jbi-22655	223	12	selecting	select	VERB
jbi-22655	223	13	models	model	NOUN
jbi-22655	223	14	that	that	PRON
jbi-22655	223	15	accurately	accurately	ADV
jbi-22655	223	16	predict	predict	VERB
jbi-22655	223	17	the	the	DET
jbi-22655	223	18	true	true	ADJ
jbi-22655	223	19	suitability	suitability	NOUN
jbi-22655	223	20	values	value	NOUN
jbi-22655	223	21	across	across	ADP
jbi-22655	223	22	the	the	DET
jbi-22655	223	23	landscape	landscape	NOUN
jbi-22655	223	24	,	,	PUNCT
jbi-22655	223	25	despite	despite	SCONJ
jbi-22655	223	26	the	the	DET
jbi-22655	223	27	theoretical	theoretical	ADJ
jbi-22655	223	28	advantages	advantage	NOUN
jbi-22655	223	29	of	of	ADP
jbi-22655	223	30	block	block	NOUN
jbi-22655	223	31	partitioning	partition	VERB
jbi-22655	223	32	in	in	ADP
jbi-22655	223	33	creating	create	VERB
jbi-22655	223	34	geographically	geographically	ADV
jbi-22655	223	35	independent	independent	ADJ
jbi-22655	223	36	evaluation	evaluation	NOUN
jbi-22655	223	37	sets	set	NOUN
jbi-22655	223	38	.	.	PUNCT
jbi-22655	224	1	one	one	NUM
jbi-22655	224	2	possible	possible	ADJ
jbi-22655	224	3	reason	reason	NOUN
jbi-22655	224	4	is	be	AUX
jbi-22655	224	5	that	that	SCONJ
jbi-22655	224	6	certain	certain	ADJ
jbi-22655	224	7	ranges	range	NOUN
jbi-22655	224	8	of	of	ADP
jbi-22655	224	9	environmental	environmental	ADJ
jbi-22655	224	10	values	value	NOUN
jbi-22655	224	11	may	may	AUX
jbi-22655	224	12	be	be	AUX
jbi-22655	224	13	geographically	geographically	ADV
jbi-22655	224	14	clustered	cluster	VERB
jbi-22655	224	15	and	and	CCONJ
jbi-22655	224	16	so	so	ADV
jbi-22655	224	17	are	be	AUX
jbi-22655	224	18	not	not	PART
jbi-22655	224	19	utilized	utilize	VERB
jbi-22655	224	20	during	during	ADP
jbi-22655	224	21	calibration	calibration	NOUN
jbi-22655	224	22	in	in	ADP
jbi-22655	224	23	block	block	NOUN
jbi-22655	224	24	partitioning	partitioning	NOUN
jbi-22655	224	25	,	,	PUNCT
jbi-22655	224	26	unlike	unlike	ADP
jbi-22655	224	27	random	random	ADJ
jbi-22655	224	28	partitioning	partitioning	NOUN
jbi-22655	224	29	,	,	PUNCT
jbi-22655	224	30	which	which	PRON
jbi-22655	224	31	avoids	avoid	VERB
jbi-22655	224	32	this	this	DET
jbi-22655	224	33	stratification	stratification	NOUN
jbi-22655	224	34	(	(	PUNCT
jbi-22655	224	35	kass	kass	PROPN
jbi-22655	224	36	et	et	PROPN
jbi-22655	224	37	al	al	PROPN
jbi-22655	224	38	.	.	PROPN
jbi-22655	224	39	2021	2021	NUM
jbi-22655	224	40	)	)	PUNCT
jbi-22655	224	41	.	.	PUNCT
jbi-22655	225	1	this	this	PRON
jbi-22655	225	2	contrasts	contrast	VERB
jbi-22655	225	3	with	with	ADP
jbi-22655	225	4	the	the	DET
jbi-22655	225	5	findings	finding	NOUN
jbi-22655	225	6	of	of	ADP
jbi-22655	225	7	warren	warren	PROPN
jbi-22655	225	8	et	et	PROPN
jbi-22655	225	9	al	al	PROPN
jbi-22655	225	10	.	.	PROPN
jbi-22655	226	1	(	(	PUNCT
jbi-22655	226	2	2020	2020	NUM
jbi-22655	226	3	)	)	PUNCT
jbi-22655	226	4	,	,	PUNCT
jbi-22655	226	5	who	who	PRON
jbi-22655	226	6	observed	observe	VERB
jbi-22655	226	7	a	a	DET
jbi-22655	226	8	better	well	ADJ
jbi-22655	226	9	correlation	correlation	NOUN
jbi-22655	226	10	using	use	VERB
jbi-22655	226	11	geographical	geographical	ADJ
jbi-22655	226	12	block	block	NOUN
jbi-22655	226	13	partitioning	partition	VERB
jbi-22655	226	14	.	.	PUNCT
jbi-22655	227	1	despite	despite	SCONJ
jbi-22655	227	2	the	the	DET
jbi-22655	227	3	relatively	relatively	ADV
jbi-22655	227	4	low	low	ADJ
jbi-22655	227	5	correlation	correlation	NOUN
jbi-22655	227	6	between	between	ADP
jbi-22655	227	7	functional	functional	ADJ
jbi-22655	227	8	and	and	CCONJ
jbi-22655	227	9	discrimination	discrimination	NOUN
jbi-22655	227	10	accuracy	accuracy	NOUN
jbi-22655	227	11	.	.	PUNCT
jbi-22655	228	1	the	the	DET
jbi-22655	228	2	fact	fact	NOUN
jbi-22655	228	3	that	that	SCONJ
jbi-22655	228	4	the	the	DET
jbi-22655	228	5	best	good	ADJ
jbi-22655	228	6	models	model	NOUN
jbi-22655	228	7	selected	select	VERB
jbi-22655	228	8	based	base	VERB
jbi-22655	228	9	on	on	ADP
jbi-22655	228	10	random	random	ADJ
jbi-22655	228	11	and	and	CCONJ
jbi-22655	228	12	block	block	NOUN
jbi-22655	228	13	data	datum	NOUN
jbi-22655	228	14	partitioning	partitioning	NOUN
jbi-22655	228	15	exhibited	exhibit	VERB
jbi-22655	228	16	functional	functional	ADJ
jbi-22655	228	17	accuracies	accuracy	NOUN
jbi-22655	228	18	exceeding	exceed	VERB
jbi-22655	228	19	0.5	0.5	NUM
jbi-22655	228	20	highlights	highlight	NOUN
jbi-22655	228	21	that	that	PRON
jbi-22655	228	22	,	,	PUNCT
jbi-22655	228	23	in	in	ADP
jbi-22655	228	24	certain	certain	ADJ
jbi-22655	228	25	cases	case	NOUN
jbi-22655	228	26	,	,	PUNCT
jbi-22655	228	27	the	the	DET
jbi-22655	228	28	choice	choice	NOUN
jbi-22655	228	29	of	of	ADP
jbi-22655	228	30	data	data	NOUN
jbi-22655	228	31	partitioning	partition	VERB
jbi-22655	228	32	strategy	strategy	NOUN
jbi-22655	228	33	can	can	AUX
jbi-22655	228	34	lead	lead	VERB
jbi-22655	228	35	to	to	ADP
jbi-22655	228	36	the	the	DET
jbi-22655	228	37	selection	selection	NOUN
jbi-22655	228	38	of	of	ADP
jbi-22655	228	39	models	model	NOUN
jbi-22655	228	40	with	with	ADP
jbi-22655	228	41	reasonably	reasonably	ADV
jbi-22655	228	42	high	high	ADJ
jbi-22655	228	43	functional	functional	ADJ
jbi-22655	228	44	accuracy	accuracy	NOUN
jbi-22655	228	45	,	,	PUNCT
jbi-22655	228	46	even	even	ADV
jbi-22655	228	47	when	when	SCONJ
jbi-22655	228	48	their	their	PRON
jbi-22655	228	49	overall	overall	ADJ
jbi-22655	228	50	discrimination	discrimination	NOUN
jbi-22655	228	51	accuracy	accuracy	NOUN
jbi-22655	228	52	showed	show	VERB
jbi-22655	228	53	limited	limited	ADJ
jbi-22655	228	54	alignment	alignment	NOUN
jbi-22655	228	55	with	with	ADP
jbi-22655	228	56	the	the	DET
jbi-22655	228	57	functional	functional	ADJ
jbi-22655	228	58	accuracy	accuracy	NOUN
jbi-22655	228	59	metric	metric	NOUN
jbi-22655	228	60	.	.	PUNCT
jbi-22655	229	1	the	the	DET
jbi-22655	229	2	inappropriate	inappropriate	ADJ
jbi-22655	229	3	selection	selection	NOUN
jbi-22655	229	4	of	of	ADP
jbi-22655	229	5	the	the	DET
jbi-22655	229	6	calibration	calibration	NOUN
jbi-22655	229	7	area	area	NOUN
jbi-22655	229	8	has	have	VERB
jbi-22655	229	9	significant	significant	ADJ
jbi-22655	229	10	implications	implication	NOUN
jbi-22655	229	11	for	for	ADP
jbi-22655	229	12	modeling	model	VERB
jbi-22655	229	13	applications	application	NOUN
jbi-22655	229	14	(	(	PUNCT
jbi-22655	229	15	barve	barve	VERB
jbi-22655	229	16	et	et	PROPN
jbi-22655	229	17	al	al	PROPN
jbi-22655	229	18	.	.	PROPN
jbi-22655	229	19	2011	2011	NUM
jbi-22655	229	20	)	)	PUNCT
jbi-22655	229	21	.	.	PUNCT
jbi-22655	230	1	the	the	DET
jbi-22655	230	2	consequences	consequence	NOUN
jbi-22655	230	3	extend	extend	VERB
jbi-22655	230	4	to	to	ADP
jbi-22655	230	5	critical	critical	ADJ
jbi-22655	230	6	aspects	aspect	NOUN
jbi-22655	230	7	such	such	ADJ
jbi-22655	230	8	as	as	ADP
jbi-22655	230	9	the	the	DET
jbi-22655	230	10	inaccurate	inaccurate	ADJ
jbi-22655	230	11	estimation	estimation	NOUN
jbi-22655	230	12	of	of	ADP
jbi-22655	230	13	the	the	DET
jbi-22655	230	14	extent	extent	NOUN
jbi-22655	230	15	of	of	ADP
jbi-22655	230	16	occurrence	occurrence	NOUN
jbi-22655	230	17	and	and	CCONJ
jbi-22655	230	18	area	area	NOUN
jbi-22655	230	19	of	of	ADP
jbi-22655	230	20	occupancy	occupancy	NOUN
jbi-22655	230	21	,	,	PUNCT
jbi-22655	230	22	which	which	PRON
jbi-22655	230	23	may	may	AUX
jbi-22655	230	24	lead	lead	VERB
jbi-22655	230	25	to	to	ADP
jbi-22655	230	26	misguided	misguided	ADJ
jbi-22655	230	27	conservation	conservation	NOUN
jbi-22655	230	28	priorities	priority	NOUN
jbi-22655	230	29	(	(	PUNCT
jbi-22655	230	30	vanderwal	vanderwal	NOUN
jbi-22655	230	31	et	et	PROPN
jbi-22655	230	32	al	al	PROPN
jbi-22655	230	33	.	.	PROPN
jbi-22655	230	34	2009	2009	NUM
jbi-22655	230	35	)	)	PUNCT
jbi-22655	230	36	,	,	PUNCT
jbi-22655	230	37	failure	failure	NOUN
jbi-22655	230	38	to	to	PART
jbi-22655	230	39	generate	generate	VERB
jbi-22655	230	40	appropriate	appropriate	ADJ
jbi-22655	230	41	mechanistic	mechanistic	ADJ
jbi-22655	230	42	hypotheses	hypothesis	NOUN
jbi-22655	230	43	about	about	ADP
jbi-22655	230	44	the	the	DET
jbi-22655	230	45	parameters	parameter	NOUN
jbi-22655	230	46	governing	govern	VERB
jbi-22655	230	47	species	species	NOUN
jbi-22655	230	48	distributions	distribution	NOUN
jbi-22655	230	49	(	(	PUNCT
jbi-22655	230	50	vanderwal	vanderwal	NOUN
jbi-22655	230	51	et	et	PROPN
jbi-22655	230	52	al	al	PROPN
jbi-22655	230	53	.	.	PROPN
jbi-22655	230	54	2009	2009	NUM
jbi-22655	230	55	)	)	PUNCT
jbi-22655	230	56	,	,	PUNCT
jbi-22655	230	57	and	and	CCONJ
jbi-22655	230	58	distorted	distort	VERB
jbi-22655	230	59	response	response	NOUN
jbi-22655	230	60	curves	curve	NOUN
jbi-22655	230	61	(	(	PUNCT
jbi-22655	230	62	thuiller	thuill	ADJ
jbi-22655	230	63	et	et	NOUN
jbi-22655	230	64	al	al	PROPN
jbi-22655	230	65	.	.	PROPN
jbi-22655	230	66	2004	2004	NUM
jbi-22655	230	67	)	)	PUNCT
jbi-22655	230	68	.	.	PUNCT
jbi-22655	231	1	therefore	therefore	ADV
jbi-22655	231	2	,	,	PUNCT
jbi-22655	231	3	it	it	PRON
jbi-22655	231	4	is	be	AUX
jbi-22655	231	5	essential	essential	ADJ
jbi-22655	231	6	to	to	PART
jbi-22655	231	7	give	give	VERB
jbi-22655	231	8	careful	careful	ADJ
jbi-22655	231	9	thought	thought	NOUN
jbi-22655	231	10	and	and	CCONJ
jbi-22655	231	11	choose	choose	VERB
jbi-22655	231	12	the	the	DET
jbi-22655	231	13	calibration	calibration	NOUN
jbi-22655	231	14	area	area	NOUN
jbi-22655	231	15	to	to	PART
jbi-22655	231	16	guarantee	guarantee	VERB
jbi-22655	231	17	the	the	DET
jbi-22655	231	18	validity	validity	NOUN
jbi-22655	231	19	and	and	CCONJ
jbi-22655	231	20	robustness	robustness	NOUN
jbi-22655	231	21	of	of	ADP
jbi-22655	231	22	sdm	sdm	NOUN
jbi-22655	231	23	.	.	PUNCT
jbi-22655	232	1	constructing	construct	VERB
jbi-22655	232	2	spatial	spatial	ADJ
jbi-22655	232	3	buffers	buffer	NOUN
jbi-22655	232	4	around	around	ADP
jbi-22655	232	5	known	know	VERB
jbi-22655	232	6	occurrences	occurrence	NOUN
jbi-22655	232	7	,	,	PUNCT
jbi-22655	232	8	reflecting	reflect	VERB
jbi-22655	232	9	the	the	DET
jbi-22655	232	10	potential	potential	ADJ
jbi-22655	232	11	spatial	spatial	ADJ
jbi-22655	232	12	range	range	NOUN
jbi-22655	232	13	a	a	DET
jbi-22655	232	14	species	specie	NOUN
jbi-22655	232	15	could	could	AUX
jbi-22655	232	16	explore	explore	VERB
jbi-22655	232	17	,	,	PUNCT
jbi-22655	232	18	offers	offer	VERB
jbi-22655	232	19	a	a	DET
jbi-22655	232	20	straightforward	straightforward	ADJ
jbi-22655	232	21	method	method	NOUN
jbi-22655	232	22	for	for	ADP
jbi-22655	232	23	delineating	delineate	VERB
jbi-22655	232	24	a	a	DET
jbi-22655	232	25	calibration	calibration	NOUN
jbi-22655	232	26	area	area	NOUN
jbi-22655	232	27	(	(	PUNCT
jbi-22655	232	28	feng	feng	PROPN
jbi-22655	232	29	2023	2023	NUM
jbi-22655	232	30	)	)	PUNCT
jbi-22655	232	31	.	.	PUNCT
jbi-22655	233	1	this	this	DET
jbi-22655	233	2	approach	approach	NOUN
jbi-22655	233	3	aligns	align	VERB
jbi-22655	233	4	more	more	ADV
jbi-22655	233	5	closely	closely	ADV
jbi-22655	233	6	with	with	ADP
jbi-22655	233	7	the	the	DET
jbi-22655	233	8	theoretical	theoretical	ADJ
jbi-22655	233	9	considerations	consideration	NOUN
jbi-22655	233	10	of	of	ADP
jbi-22655	233	11	species	specie	NOUN
jbi-22655	233	12	’	'	PUNCT
jbi-22655	233	13	mobility	mobility	NOUN
jbi-22655	233	14	(	(	PUNCT
jbi-22655	233	15	holloway	holloway	PROPN
jbi-22655	233	16	and	and	CCONJ
jbi-22655	233	17	miller	miller	PROPN
jbi-22655	233	18	2017	2017	NUM
jbi-22655	233	19	)	)	PUNCT
jbi-22655	233	20	,	,	PUNCT
jbi-22655	233	21	providing	provide	VERB
jbi-22655	233	22	a	a	DET
jbi-22655	233	23	more	more	ADV
jbi-22655	233	24	realistic	realistic	ADJ
jbi-22655	233	25	foundation	foundation	NOUN
jbi-22655	233	26	for	for	ADP
jbi-22655	233	27	sdm	sdm	PROPN
jbi-22655	233	28	exercises	exercise	NOUN
jbi-22655	233	29	.	.	PUNCT
jbi-22655	234	1	in	in	ADP
jbi-22655	234	2	line	line	NOUN
jbi-22655	234	3	with	with	ADP
jbi-22655	234	4	other	other	ADJ
jbi-22655	234	5	authors	author	NOUN
jbi-22655	234	6	(	(	PUNCT
jbi-22655	234	7	vanderwal	vanderwal	NOUN
jbi-22655	234	8	et	et	PROPN
jbi-22655	234	9	al	al	PROPN
jbi-22655	234	10	.	.	PROPN
jbi-22655	234	11	2009	2009	NUM
jbi-22655	234	12	;	;	PUNCT
jbi-22655	234	13	barve	barve	VERB
jbi-22655	234	14	et	et	PROPN
jbi-22655	234	15	al	al	PROPN
jbi-22655	234	16	.	.	PROPN
jbi-22655	234	17	2011	2011	NUM
jbi-22655	234	18	;	;	PUNCT
jbi-22655	234	19	feng	feng	PROPN
jbi-22655	234	20	2023	2023	NUM
jbi-22655	234	21	)	)	PUNCT
jbi-22655	234	22	,	,	PUNCT
jbi-22655	234	23	we	we	PRON
jbi-22655	234	24	recommend	recommend	VERB
jbi-22655	234	25	that	that	SCONJ
jbi-22655	234	26	species	species	NOUN
jbi-22655	234	27	distribution	distribution	NOUN
jbi-22655	234	28	modeling	modeling	NOUN
jbi-22655	234	29	exercises	exercise	NOUN
jbi-22655	234	30	should	should	AUX
jbi-22655	234	31	initiate	initiate	VERB
jbi-22655	234	32	with	with	ADP
jbi-22655	234	33	exploratory	exploratory	ADJ
jbi-22655	234	34	analyses	analysis	NOUN
jbi-22655	234	35	of	of	ADP
jbi-22655	234	36	the	the	DET
jbi-22655	234	37	calibration	calibration	NOUN
jbi-22655	234	38	area	area	NOUN
jbi-22655	234	39	,	,	PUNCT
jbi-22655	234	40	assessing	assess	VERB
jbi-22655	234	41	the	the	DET
jbi-22655	234	42	extent	extent	NOUN
jbi-22655	234	43	that	that	PRON
jbi-22655	234	44	can	can	AUX
jbi-22655	234	45	yield	yield	VERB
jbi-22655	234	46	both	both	DET
jbi-22655	234	47	the	the	DET
jbi-22655	234	48	most	most	ADV
jbi-22655	234	49	accurate	accurate	ADJ
jbi-22655	234	50	results	result	NOUN
jbi-22655	234	51	and	and	CCONJ
jbi-22655	234	52	a	a	DET
jbi-22655	234	53	biologically	biologically	ADV
jbi-22655	234	54	meaningful	meaningful	ADJ
jbi-22655	234	55	fit	fit	NOUN
jbi-22655	234	56	between	between	ADP
jbi-22655	234	57	species	specie	NOUN
jbi-22655	234	58	occurrence	occurrence	NOUN
jbi-22655	234	59	and	and	CCONJ
jbi-22655	234	60	predictor	predictor	NOUN
jbi-22655	234	61	variables	variable	NOUN
jbi-22655	234	62	.	.	PUNCT
jbi-22655	235	1	to	to	PART
jbi-22655	235	2	sum	sum	VERB
jbi-22655	235	3	up	up	ADP
jbi-22655	235	4	,	,	PUNCT
jbi-22655	235	5	this	this	DET
jbi-22655	235	6	research	research	NOUN
jbi-22655	235	7	advances	advance	VERB
jbi-22655	235	8	the	the	DET
jbi-22655	235	9	discussion	discussion	NOUN
jbi-22655	235	10	of	of	ADP
jbi-22655	235	11	calibration	calibration	NOUN
jbi-22655	235	12	areas	area	NOUN
jbi-22655	235	13	,	,	PUNCT
jbi-22655	235	14	shedding	shed	VERB
jbi-22655	235	15	light	light	NOUN
jbi-22655	235	16	on	on	ADP
jbi-22655	235	17	their	their	PRON
jbi-22655	235	18	nuanced	nuanced	ADJ
jbi-22655	235	19	impacts	impact	NOUN
jbi-22655	235	20	on	on	ADP
jbi-22655	235	21	sdm	sdm	PROPN
jbi-22655	235	22	accuracy	accuracy	NOUN
jbi-22655	235	23	.	.	PUNCT
jbi-22655	236	1	acknowledging	acknowledge	VERB
jbi-22655	236	2	the	the	DET
jbi-22655	236	3	complexity	complexity	NOUN
jbi-22655	236	4	of	of	ADP
jbi-22655	236	5	these	these	DET
jbi-22655	236	6	considerations	consideration	NOUN
jbi-22655	236	7	,	,	PUNCT
jbi-22655	236	8	our	our	PRON
jbi-22655	236	9	findings	finding	NOUN
jbi-22655	236	10	contribute	contribute	VERB
jbi-22655	236	11	to	to	ADP
jbi-22655	236	12	the	the	DET
jbi-22655	236	13	ongoing	ongoing	ADJ
jbi-22655	236	14	refinement	refinement	NOUN
jbi-22655	236	15	of	of	ADP
jbi-22655	236	16	sdm	sdm	NOUN
jbi-22655	236	17	practices	practice	NOUN
jbi-22655	236	18	,	,	PUNCT
jbi-22655	236	19	emphasizing	emphasize	VERB
jbi-22655	236	20	the	the	DET
jbi-22655	236	21	need	need	NOUN
jbi-22655	236	22	for	for	ADP
jbi-22655	236	23	tailored	tailored	ADJ
jbi-22655	236	24	approaches	approach	NOUN
jbi-22655	236	25	in	in	ADP
jbi-22655	236	26	different	different	ADJ
jbi-22655	236	27	ecological	ecological	ADJ
jbi-22655	236	28	contexts	contexts	NOUN
jbi-22655	236	29	.	.	PUNCT
jbi-22655	237	1	the	the	DET
jbi-22655	237	2	present	present	ADJ
jbi-22655	237	3	study	study	NOUN
jbi-22655	237	4	has	have	AUX
jbi-22655	237	5	demonstrated	demonstrate	VERB
jbi-22655	237	6	that	that	SCONJ
jbi-22655	237	7	the	the	DET
jbi-22655	237	8	area	area	NOUN
jbi-22655	237	9	of	of	ADP
jbi-22655	237	10	calibration	calibration	NOUN
jbi-22655	237	11	is	be	AUX
jbi-22655	237	12	one	one	NUM
jbi-22655	237	13	of	of	ADP
jbi-22655	237	14	the	the	DET
jbi-22655	237	15	most	most	ADV
jbi-22655	237	16	important	important	ADJ
jbi-22655	237	17	factors	factor	NOUN
jbi-22655	237	18	affecting	affect	VERB
jbi-22655	237	19	the	the	DET
jbi-22655	237	20	functional	functional	ADJ
jbi-22655	237	21	accuracy	accuracy	NOUN
jbi-22655	237	22	of	of	ADP
jbi-22655	237	23	species	specie	NOUN
jbi-22655	237	24	distribution	distribution	NOUN
jbi-22655	237	25	models	model	NOUN
jbi-22655	237	26	using	use	VERB
jbi-22655	237	27	maxent	maxent	NOUN
jbi-22655	237	28	.	.	PUNCT
jbi-22655	238	1	other	other	ADJ
jbi-22655	238	2	factors	factor	NOUN
jbi-22655	238	3	,	,	PUNCT
jbi-22655	238	4	such	such	ADJ
jbi-22655	238	5	as	as	ADP
jbi-22655	238	6	the	the	DET
jbi-22655	238	7	value	value	NOUN
jbi-22655	238	8	of	of	ADP
jbi-22655	238	9	the	the	DET
jbi-22655	238	10	regularization	regularization	NOUN
jbi-22655	238	11	parameter	parameter	NOUN
jbi-22655	238	12	and	and	CCONJ
jbi-22655	238	13	the	the	DET
jbi-22655	238	14	presence	presence	NOUN
jbi-22655	238	15	of	of	ADP
jbi-22655	238	16	collinearity	collinearity	NOUN
jbi-22655	238	17	between	between	ADP
jbi-22655	238	18	the	the	DET
jbi-22655	238	19	predictor	predictor	NOUN
jbi-22655	238	20	variables	variable	NOUN
jbi-22655	238	21	,	,	PUNCT
jbi-22655	238	22	have	have	VERB
jbi-22655	238	23	a	a	DET
jbi-22655	238	24	much	much	ADV
jbi-22655	238	25	smaller	small	ADJ
jbi-22655	238	26	impact	impact	NOUN
jbi-22655	238	27	.	.	PUNCT
jbi-22655	239	1	acknowledgments	acknowledgment	NOUN
jbi-22655	239	2	sl	sl	VERB
jbi-22655	239	3	thanks	thank	NOUN
jbi-22655	239	4	the	the	DET
jbi-22655	239	5	national	national	PROPN
jbi-22655	239	6	council	council	PROPN
jbi-22655	239	7	of	of	ADP
jbi-22655	239	8	research	research	NOUN
jbi-22655	239	9	and	and	CCONJ
jbi-22655	239	10	technology	technology	NOUN
jbi-22655	239	11	(	(	PUNCT
jbi-22655	239	12	conahcyt	conahcyt	NOUN
jbi-22655	239	13	)	)	PUNCT
jbi-22655	239	14	for	for	SCONJ
jbi-22655	239	15	the	the	DET
jbi-22655	239	16	doctoral	doctoral	ADJ
jbi-22655	239	17	scholarship	scholarship	NOUN
jbi-22655	239	18	provided	provide	VERB
jbi-22655	239	19	.	.	PUNCT
jbi-22655	240	1	we	we	PRON
jbi-22655	240	2	also	also	ADV
jbi-22655	240	3	thank	thank	VERB
jbi-22655	240	4	alejandra	alejandra	PROPN
jbi-22655	240	5	arreola	arreola	PROPN
jbi-22655	240	6	-	-	PUNCT
jbi-22655	240	7	triana	triana	PROPN
jbi-22655	240	8	and	and	CCONJ
jbi-22655	240	9	two	two	NUM
jbi-22655	240	10	anonymous	anonymous	ADJ
jbi-22655	240	11	reviewers	reviewer	NOUN
jbi-22655	240	12	for	for	ADP
jbi-22655	240	13	their	their	PRON
jbi-22655	240	14	helpful	helpful	ADJ
jbi-22655	240	15	suggestions	suggestion	NOUN
jbi-22655	240	16	to	to	ADP
jbi-22655	240	17	earlier	early	ADJ
jbi-22655	240	18	versions	version	NOUN
jbi-22655	240	19	of	of	ADP
jbi-22655	240	20	this	this	DET
jbi-22655	240	21	manuscript	manuscript	NOUN
jbi-22655	240	22	.	.	PUNCT
jbi-22655	241	1	competing	compete	VERB
jbi-22655	241	2	interests	interest	NOUN
jbi-22655	241	3	the	the	DET
jbi-22655	241	4	authors	author	NOUN
jbi-22655	241	5	have	have	AUX
jbi-22655	241	6	declared	declare	VERB
jbi-22655	241	7	that	that	SCONJ
jbi-22655	241	8	no	no	DET
jbi-22655	241	9	competing	compete	VERB
jbi-22655	241	10	interests	interest	NOUN
jbi-22655	241	11	exist	exist	VERB
jbi-22655	241	12	.	.	PUNCT
jbi-22655	242	1	references	reference	NOUN
jbi-22655	242	2	acevedo	acevedo	PROPN
jbi-22655	242	3	,	,	PUNCT
jbi-22655	242	4	p.	p.	PROPN
jbi-22655	242	5	,	,	PUNCT
jbi-22655	242	6	a.	a.	PROPN
jbi-22655	242	7	jiménez	jiménez	PROPN
jbi-22655	242	8	-	-	PUNCT
jbi-22655	242	9	valverde	valverde	PROPN
jbi-22655	242	10	,	,	PUNCT
jbi-22655	242	11	j.	j.	PROPN
jbi-22655	242	12	m.	m.	PROPN
jbi-22655	242	13	lobo	lobo	PROPN
jbi-22655	242	14	,	,	PUNCT
jbi-22655	242	15	and	and	CCONJ
jbi-22655	242	16	r.	r.	PROPN
jbi-22655	242	17	real	real	PROPN
jbi-22655	242	18	.	.	PUNCT
jbi-22655	243	1	2012	2012	NUM
jbi-22655	243	2	.	.	PUNCT
jbi-22655	244	1	delimiting	delimit	VERB
jbi-22655	244	2	the	the	DET
jbi-22655	244	3	geographical	geographical	ADJ
jbi-22655	244	4	background	background	NOUN
jbi-22655	244	5	in	in	ADP
jbi-22655	244	6	species	specie	NOUN
jbi-22655	244	7	distribution	distribution	NOUN
jbi-22655	244	8	modelling	modelling	NOUN
jbi-22655	244	9	.	.	PUNCT
jbi-22655	245	1	j.	j.	PROPN
jbi-22655	245	2	biogeogr	biogeogr	PROPN
jbi-22655	245	3	.	.	PUNCT
jbi-22655	246	1	39:1383–1390	39:1383–1390	X
jbi-22655	246	2	.	.	PUNCT
jbi-22655	247	1	aiello‐lammens	aiello‐lammen	NOUN
jbi-22655	247	2	,	,	PUNCT
jbi-22655	247	3	m.	m.	PROPN
jbi-22655	247	4	e.	e.	PROPN
jbi-22655	247	5	,	,	PUNCT
jbi-22655	247	6	r.	r.	PROPN
jbi-22655	247	7	a.	a.	PROPN
jbi-22655	247	8	boria	boria	PROPN
jbi-22655	247	9	,	,	PUNCT
jbi-22655	247	10	a.	a.	PROPN
jbi-22655	247	11	radosavljevic	radosavljevic	PROPN
jbi-22655	247	12	,	,	PUNCT
jbi-22655	247	13	b.	b.	PROPN
jbi-22655	247	14	vilela	vilela	PROPN
jbi-22655	247	15	,	,	PUNCT
jbi-22655	247	16	and	and	CCONJ
jbi-22655	247	17	r.	r.	PROPN
jbi-22655	247	18	p.	p.	PROPN
jbi-22655	247	19	anderson	anderson	PROPN
jbi-22655	247	20	.	.	PUNCT
jbi-22655	248	1	2015	2015	NUM
jbi-22655	248	2	.	.	PUNCT
jbi-22655	249	1	spthin	spthin	PROPN
jbi-22655	249	2	:	:	PUNCT
jbi-22655	249	3	an	an	DET
jbi-22655	249	4	r	r	NOUN
jbi-22655	249	5	package	package	NOUN
jbi-22655	249	6	for	for	ADP
jbi-22655	249	7	spatial	spatial	ADJ
jbi-22655	249	8	thinning	thinning	NOUN
jbi-22655	249	9	of	of	ADP
jbi-22655	249	10	species	specie	NOUN
jbi-22655	249	11	occurrence	occurrence	NOUN
jbi-22655	249	12	records	record	NOUN
jbi-22655	249	13	for	for	ADP
jbi-22655	249	14	use	use	NOUN
jbi-22655	249	15	in	in	ADP
jbi-22655	249	16	ecological	ecological	ADJ
jbi-22655	249	17	niche	niche	NOUN
jbi-22655	249	18	models	model	NOUN
jbi-22655	249	19	.	.	PUNCT
jbi-22655	250	1	ecography	ecography	NOUN
jbi-22655	250	2	38:541–545	38:541–545	NUM
jbi-22655	250	3	.	.	PUNCT
jbi-22655	251	1	anderson	anderson	PROPN
jbi-22655	251	2	,	,	PUNCT
jbi-22655	251	3	r.	r.	PROPN
jbi-22655	251	4	p.	p.	PROPN
jbi-22655	251	5	,	,	PUNCT
jbi-22655	251	6	and	and	CCONJ
jbi-22655	251	7	a.	a.	NOUN
jbi-22655	251	8	raza	raza	PROPN
jbi-22655	251	9	.	.	PUNCT
jbi-22655	252	1	2010	2010	NUM
jbi-22655	252	2	.	.	PUNCT
jbi-22655	253	1	the	the	DET
jbi-22655	253	2	effect	effect	NOUN
jbi-22655	253	3	of	of	ADP
jbi-22655	253	4	the	the	DET
jbi-22655	253	5	extent	extent	NOUN
jbi-22655	253	6	of	of	ADP
jbi-22655	253	7	the	the	DET
jbi-22655	253	8	study	study	NOUN
jbi-22655	253	9	region	region	NOUN
jbi-22655	253	10	on	on	ADP
jbi-22655	253	11	gis	gis	NOUN
jbi-22655	253	12	models	model	NOUN
jbi-22655	253	13	of	of	ADP
jbi-22655	253	14	species	specie	NOUN
jbi-22655	253	15	geographic	geographic	ADJ
jbi-22655	253	16	distributions	distribution	NOUN
jbi-22655	253	17	and	and	CCONJ
jbi-22655	253	18	estimates	estimate	NOUN
jbi-22655	253	19	of	of	ADP
jbi-22655	253	20	niche	niche	NOUN
jbi-22655	253	21	evolution	evolution	NOUN
jbi-22655	253	22	:	:	PUNCT
jbi-22655	253	23	preliminary	preliminary	ADJ
jbi-22655	253	24	tests	test	NOUN
jbi-22655	253	25	with	with	ADP
jbi-22655	253	26	montane	montane	NOUN
jbi-22655	253	27	rodents	rodent	NOUN
jbi-22655	253	28	(	(	PUNCT
jbi-22655	253	29	genus	genus	PROPN
jbi-22655	253	30	nephelomys	nephelomys	NOUN
jbi-22655	253	31	)	)	PUNCT
jbi-22655	253	32	in	in	ADP
jbi-22655	253	33	venezuela	venezuela	PROPN
jbi-22655	253	34	:	:	PUNCT
jbi-22655	253	35	effect	effect	NOUN
jbi-22655	253	36	of	of	ADP
jbi-22655	253	37	study	study	NOUN
jbi-22655	253	38	region	region	NOUN
jbi-22655	253	39	on	on	ADP
jbi-22655	253	40	models	model	NOUN
jbi-22655	253	41	of	of	ADP
jbi-22655	253	42	distributions	distribution	NOUN
jbi-22655	253	43	.	.	PUNCT
jbi-22655	254	1	j.	j.	PROPN
jbi-22655	254	2	biogeogr	biogeogr	PROPN
jbi-22655	254	3	.	.	PUNCT
jbi-22655	255	1	37:1378–1393	37:1378–1393	X
jbi-22655	255	2	.	.	PUNCT
jbi-22655	255	3	araújo	araújo	PROPN
jbi-22655	255	4	,	,	PUNCT
jbi-22655	255	5	m.	m.	PROPN
jbi-22655	255	6	b.	b.	PROPN
jbi-22655	255	7	,	,	PUNCT
jbi-22655	255	8	and	and	CCONJ
jbi-22655	255	9	r.	r.	PROPN
jbi-22655	255	10	g.	g.	PROPN
jbi-22655	255	11	pearson	pearson	PROPN
jbi-22655	255	12	.	.	PROPN
jbi-22655	256	1	2005	2005	NUM
jbi-22655	256	2	.	.	PUNCT
jbi-22655	257	1	equilibrium	equilibrium	NOUN
jbi-22655	257	2	of	of	ADP
jbi-22655	257	3	species	specie	NOUN
jbi-22655	257	4	’	'	PUNCT
jbi-22655	257	5	distributions	distribution	NOUN
jbi-22655	257	6	with	with	ADP
jbi-22655	257	7	climate	climate	NOUN
jbi-22655	257	8	.	.	PUNCT
jbi-22655	258	1	ecography	ecography	NOUN
jbi-22655	258	2	28:693–695	28:693–695	PROPN
jbi-22655	258	3	.	.	PUNCT
jbi-22655	259	1	barbet‐massin	barbet‐massin	PROPN
jbi-22655	259	2	,	,	PUNCT
jbi-22655	259	3	m.	m.	NOUN
jbi-22655	259	4	,	,	PUNCT
jbi-22655	259	5	f.	f.	PROPN
jbi-22655	259	6	jiguet	jiguet	PROPN
jbi-22655	259	7	,	,	PUNCT
jbi-22655	259	8	c.	c.	PROPN
jbi-22655	259	9	h.	h.	PROPN
jbi-22655	259	10	albert	albert	PROPN
jbi-22655	259	11	,	,	PUNCT
jbi-22655	259	12	and	and	CCONJ
jbi-22655	259	13	w.	w.	PROPN
jbi-22655	259	14	thuiller	thuiller	NOUN
jbi-22655	259	15	.	.	PUNCT
jbi-22655	260	1	2012	2012	NUM
jbi-22655	260	2	.	.	PUNCT
jbi-22655	261	1	selecting	select	VERB
jbi-22655	261	2	pseudo‐absences	pseudo‐absence	NOUN
jbi-22655	261	3	for	for	ADP
jbi-22655	261	4	species	species	NOUN
jbi-22655	261	5	distribution	distribution	NOUN
jbi-22655	261	6	models	model	NOUN
jbi-22655	261	7	:	:	PUNCT
jbi-22655	261	8	how	how	SCONJ
jbi-22655	261	9	,	,	PUNCT
jbi-22655	261	10	where	where	SCONJ
jbi-22655	261	11	and	and	CCONJ
jbi-22655	261	12	how	how	SCONJ
jbi-22655	261	13	many	many	ADJ
jbi-22655	261	14	?	?	PUNCT
jbi-22655	262	1	methods	method	NOUN
jbi-22655	262	2	ecol	ecol	NOUN
jbi-22655	262	3	.	.	PUNCT
jbi-22655	263	1	evol	evol	NOUN
jbi-22655	263	2	.	.	PUNCT
jbi-22655	264	1	3:327	3:327	NUM
jbi-22655	264	2	–	–	PUNCT
jbi-22655	264	3	338	338	NUM
jbi-22655	264	4	.	.	PUNCT
jbi-22655	265	1	luna	luna	PROPN
jbi-22655	265	2	et	et	PROPN
jbi-22655	265	3	al	al	PROPN
jbi-22655	265	4	.	.	PROPN
jbi-22655	265	5	–	–	PUNCT
jbi-22655	265	6	species	species	NOUN
jbi-22655	265	7	distribution	distribution	NOUN
jbi-22655	265	8	model	model	NOUN
jbi-22655	265	9	accuracy	accuracy	NOUN
jbi-22655	265	10	influenced	influence	VERB
jbi-22655	265	11	by	by	ADP
jbi-22655	265	12	calibration	calibration	NOUN
jbi-22655	265	13	area	area	PROPN
jbi-22655	265	14	53	53	NUM
jbi-22655	265	15	barve	barve	NOUN
jbi-22655	265	16	,	,	PUNCT
jbi-22655	265	17	n.	n.	NOUN
jbi-22655	265	18	,	,	PUNCT
jbi-22655	265	19	v.	v.	ADP
jbi-22655	265	20	barve	barve	NOUN
jbi-22655	265	21	,	,	PUNCT
jbi-22655	265	22	a.	a.	PROPN
jbi-22655	265	23	jiménez	jiménez	PROPN
jbi-22655	265	24	-	-	PUNCT
jbi-22655	265	25	valverde	valverde	PROPN
jbi-22655	265	26	,	,	PUNCT
jbi-22655	265	27	a.	a.	PROPN
jbi-22655	265	28	lira	lira	PROPN
jbi-22655	265	29	-	-	PUNCT
jbi-22655	265	30	noriega	noriega	PROPN
jbi-22655	265	31	,	,	PUNCT
jbi-22655	265	32	s.	s.	PROPN
jbi-22655	265	33	p.	p.	PROPN
jbi-22655	265	34	maher	maher	PROPN
jbi-22655	265	35	,	,	PUNCT
jbi-22655	265	36	a.	a.	PROPN
jbi-22655	265	37	t.	t.	PROPN
jbi-22655	265	38	peterson	peterson	PROPN
jbi-22655	265	39	,	,	PUNCT
jbi-22655	265	40	j.	j.	PROPN
jbi-22655	265	41	soberón	soberón	PROPN
jbi-22655	265	42	,	,	PUNCT
jbi-22655	265	43	and	and	CCONJ
jbi-22655	265	44	f.	f.	PROPN
jbi-22655	265	45	villalobos	villalobos	PROPN
jbi-22655	265	46	.	.	PROPN
jbi-22655	265	47	2011	2011	NUM
jbi-22655	265	48	.	.	PUNCT
jbi-22655	266	1	the	the	DET
jbi-22655	266	2	crucial	crucial	ADJ
jbi-22655	266	3	role	role	NOUN
jbi-22655	266	4	of	of	ADP
jbi-22655	266	5	the	the	DET
jbi-22655	266	6	accessible	accessible	ADJ
jbi-22655	266	7	area	area	NOUN
jbi-22655	266	8	in	in	ADP
jbi-22655	266	9	ecological	ecological	ADJ
jbi-22655	266	10	niche	niche	NOUN
jbi-22655	266	11	modeling	modeling	NOUN
jbi-22655	266	12	and	and	CCONJ
jbi-22655	266	13	species	species	NOUN
jbi-22655	266	14	distribution	distribution	NOUN
jbi-22655	266	15	modeling	modeling	NOUN
jbi-22655	266	16	.	.	PUNCT
jbi-22655	267	1	ecol	ecol	PROPN
jbi-22655	267	2	.	.	PUNCT
jbi-22655	268	1	model	model	NOUN
jbi-22655	268	2	.	.	PUNCT
jbi-22655	269	1	222:1810–1819	222:1810–1819	NOUN
jbi-22655	269	2	.	.	PUNCT
jbi-22655	270	1	booth	booth	NOUN
jbi-22655	270	2	,	,	PUNCT
jbi-22655	270	3	t.	t.	PROPN
jbi-22655	270	4	h.	h.	PROPN
jbi-22655	270	5	2022	2022	NUM
jbi-22655	270	6	.	.	PUNCT
jbi-22655	271	1	checking	check	VERB
jbi-22655	271	2	bioclimatic	bioclimatic	ADJ
jbi-22655	271	3	variables	variable	NOUN
jbi-22655	271	4	that	that	PRON
jbi-22655	271	5	combine	combine	VERB
jbi-22655	271	6	temperature	temperature	NOUN
jbi-22655	271	7	and	and	CCONJ
jbi-22655	271	8	precipitation	precipitation	NOUN
jbi-22655	271	9	data	datum	NOUN
jbi-22655	271	10	before	before	ADP
jbi-22655	271	11	their	their	PRON
jbi-22655	271	12	use	use	NOUN
jbi-22655	271	13	in	in	ADP
jbi-22655	271	14	species	specie	NOUN
jbi-22655	271	15	distribution	distribution	NOUN
jbi-22655	271	16	models	model	NOUN
jbi-22655	271	17	.	.	PUNCT
jbi-22655	272	1	austral	austral	ADJ
jbi-22655	272	2	ecol	ecol	NOUN
jbi-22655	272	3	.	.	PUNCT
jbi-22655	273	1	47:1506–1514	47:1506–1514	NOUN
jbi-22655	273	2	.	.	PUNCT
jbi-22655	273	3	booth	booth	NOUN
jbi-22655	273	4	,	,	PUNCT
jbi-22655	273	5	t.	t.	PROPN
jbi-22655	273	6	h.	h.	PROPN
jbi-22655	273	7	,	,	PUNCT
jbi-22655	273	8	h.	h.	PROPN
jbi-22655	273	9	a.	a.	PROPN
jbi-22655	273	10	nix	nix	PROPN
jbi-22655	273	11	,	,	PUNCT
jbi-22655	273	12	j.	j.	PROPN
jbi-22655	273	13	r.	r.	PROPN
jbi-22655	273	14	busby	busby	PROPN
jbi-22655	273	15	,	,	PUNCT
jbi-22655	273	16	and	and	CCONJ
jbi-22655	273	17	m.	m.	PROPN
jbi-22655	273	18	f.	f.	PROPN
jbi-22655	273	19	hutchinson	hutchinson	PROPN
jbi-22655	273	20	.	.	PROPN
jbi-22655	273	21	2014	2014	NUM
jbi-22655	273	22	.	.	PUNCT
jbi-22655	274	1	bioclim	bioclim	VERB
jbi-22655	274	2	:	:	PUNCT
jbi-22655	274	3	the	the	DET
jbi-22655	274	4	first	first	ADJ
jbi-22655	274	5	species	species	NOUN
jbi-22655	274	6	distribution	distribution	NOUN
jbi-22655	274	7	modelling	modelling	NOUN
jbi-22655	274	8	package	package	NOUN
jbi-22655	274	9	,	,	PUNCT
jbi-22655	274	10	its	its	PRON
jbi-22655	274	11	early	early	ADJ
jbi-22655	274	12	applications	application	NOUN
jbi-22655	274	13	and	and	CCONJ
jbi-22655	274	14	relevance	relevance	NOUN
jbi-22655	274	15	to	to	ADP
jbi-22655	274	16	most	most	ADJ
jbi-22655	274	17	current	current	ADJ
jbi-22655	274	18	maxent	maxent	NOUN
jbi-22655	274	19	studies	study	NOUN
jbi-22655	274	20	.	.	PUNCT
jbi-22655	275	1	divers	divers	PROPN
jbi-22655	275	2	.	.	PUNCT
jbi-22655	276	1	distrib	distrib	PROPN
jbi-22655	276	2	.	.	PUNCT
jbi-22655	277	1	20:1–9	20:1–9	PROPN
jbi-22655	277	2	.	.	PROPN
jbi-22655	277	3	boria	boria	PROPN
jbi-22655	277	4	,	,	PUNCT
jbi-22655	277	5	r.	r.	PROPN
jbi-22655	277	6	a.	a.	PROPN
jbi-22655	277	7	,	,	PUNCT
jbi-22655	277	8	l.	l.	PROPN
jbi-22655	277	9	e.	e.	PROPN
jbi-22655	277	10	olson	olson	PROPN
jbi-22655	277	11	,	,	PUNCT
jbi-22655	277	12	s.	s.	PROPN
jbi-22655	277	13	m.	m.	PROPN
jbi-22655	277	14	goodman	goodman	PROPN
jbi-22655	277	15	,	,	PUNCT
jbi-22655	277	16	and	and	CCONJ
jbi-22655	277	17	r.	r.	PROPN
jbi-22655	277	18	p.	p.	PROPN
jbi-22655	277	19	anderson	anderson	PROPN
jbi-22655	277	20	.	.	PUNCT
jbi-22655	278	1	2014	2014	NUM
jbi-22655	278	2	.	.	PUNCT
jbi-22655	279	1	spatial	spatial	ADJ
jbi-22655	279	2	filtering	filtering	NOUN
jbi-22655	279	3	to	to	PART
jbi-22655	279	4	reduce	reduce	VERB
jbi-22655	279	5	sampling	sample	VERB
jbi-22655	279	6	bias	bias	NOUN
jbi-22655	279	7	can	can	AUX
jbi-22655	279	8	improve	improve	VERB
jbi-22655	279	9	the	the	DET
jbi-22655	279	10	performance	performance	NOUN
jbi-22655	279	11	of	of	ADP
jbi-22655	279	12	ecological	ecological	ADJ
jbi-22655	279	13	niche	niche	NOUN
jbi-22655	279	14	models	model	NOUN
jbi-22655	279	15	.	.	PUNCT
jbi-22655	280	1	ecol	ecol	PROPN
jbi-22655	280	2	.	.	PUNCT
jbi-22655	281	1	model	model	NOUN
jbi-22655	281	2	.	.	PUNCT
jbi-22655	282	1	275:73–77	275:73–77	X
jbi-22655	282	2	.	.	PUNCT
jbi-22655	282	3	brodie	brodie	PROPN
jbi-22655	282	4	,	,	PUNCT
jbi-22655	282	5	s.	s.	PROPN
jbi-22655	282	6	,	,	PUNCT
jbi-22655	282	7	j.	j.	PROPN
jbi-22655	282	8	a.	a.	PROPN
jbi-22655	282	9	smith	smith	PROPN
jbi-22655	282	10	,	,	PUNCT
jbi-22655	282	11	b.	b.	PROPN
jbi-22655	282	12	a.	a.	PROPN
jbi-22655	282	13	muhling	muhling	PROPN
jbi-22655	282	14	,	,	PUNCT
jbi-22655	282	15	l.	l.	PROPN
jbi-22655	282	16	a.	a.	PROPN
jbi-22655	282	17	k.	k.	PROPN
jbi-22655	282	18	barnett	barnett	PROPN
jbi-22655	282	19	,	,	PUNCT
jbi-22655	282	20	g.	g.	PROPN
jbi-22655	282	21	carroll	carroll	PROPN
jbi-22655	282	22	,	,	PUNCT
jbi-22655	282	23	p.	p.	PROPN
jbi-22655	282	24	fiedler	fiedler	PROPN
jbi-22655	282	25	,	,	PUNCT
jbi-22655	282	26	s.	s.	PROPN
jbi-22655	282	27	j.	j.	PROPN
jbi-22655	282	28	bograd	bograd	PROPN
jbi-22655	282	29	,	,	PUNCT
jbi-22655	282	30	e.	e.	PROPN
jbi-22655	282	31	l.	l.	PROPN
jbi-22655	282	32	hazen	hazen	PROPN
jbi-22655	282	33	,	,	PUNCT
jbi-22655	282	34	m.	m.	NOUN
jbi-22655	282	35	g.	g.	PROPN
jbi-22655	282	36	jacox	jacox	PROPN
jbi-22655	282	37	,	,	PUNCT
jbi-22655	282	38	k.	k.	PROPN
jbi-22655	282	39	s.	s.	PROPN
jbi-22655	282	40	andrews	andrews	PROPN
jbi-22655	282	41	,	,	PUNCT
jbi-22655	282	42	c.	c.	PROPN
jbi-22655	282	43	l.	l.	PROPN
jbi-22655	282	44	barnes	barnes	PROPN
jbi-22655	282	45	,	,	PUNCT
jbi-22655	282	46	l.	l.	PROPN
jbi-22655	282	47	g.	g.	PROPN
jbi-22655	282	48	crozier	crozier	PROPN
jbi-22655	282	49	,	,	PUNCT
jbi-22655	282	50	j.	j.	PROPN
jbi-22655	282	51	fiechter	fiechter	PROPN
jbi-22655	282	52	,	,	PUNCT
jbi-22655	282	53	a.	a.	PROPN
jbi-22655	282	54	fredston	fredston	PROPN
jbi-22655	282	55	,	,	PUNCT
jbi-22655	282	56	m.	m.	NOUN
jbi-22655	282	57	a.	a.	NOUN
jbi-22655	282	58	haltuch	haltuch	PROPN
jbi-22655	282	59	,	,	PUNCT
jbi-22655	282	60	c.	c.	PROPN
jbi-22655	282	61	j.	j.	PROPN
jbi-22655	282	62	harvey	harvey	PROPN
jbi-22655	282	63	,	,	PUNCT
jbi-22655	282	64	e.	e.	PROPN
jbi-22655	282	65	holmes	holmes	PROPN
jbi-22655	282	66	,	,	PUNCT
jbi-22655	282	67	m.	m.	NOUN
jbi-22655	282	68	a.	a.	PROPN
jbi-22655	282	69	karp	karp	PROPN
jbi-22655	282	70	,	,	PUNCT
jbi-22655	282	71	o.	o.	PROPN
jbi-22655	282	72	r.	r.	PROPN
jbi-22655	282	73	liu	liu	PROPN
jbi-22655	282	74	,	,	PUNCT
jbi-22655	282	75	m.	m.	PROPN
jbi-22655	282	76	j.	j.	PROPN
jbi-22655	282	77	malick	malick	PROPN
jbi-22655	282	78	,	,	PUNCT
jbi-22655	282	79	m.	m.	NOUN
jbi-22655	282	80	pozo	pozo	PROPN
jbi-22655	282	81	buil	buil	PROPN
jbi-22655	282	82	,	,	PUNCT
jbi-22655	282	83	k.	k.	PROPN
jbi-22655	282	84	richerson	richerson	PROPN
jbi-22655	282	85	,	,	PUNCT
jbi-22655	282	86	c.	c.	PROPN
jbi-22655	282	87	n.	n.	PROPN
jbi-22655	282	88	rooper	rooper	PROPN
jbi-22655	282	89	,	,	PUNCT
jbi-22655	282	90	j.	j.	PROPN
jbi-22655	282	91	samhouri	samhouri	PROPN
jbi-22655	282	92	,	,	PUNCT
jbi-22655	282	93	r.	r.	PROPN
jbi-22655	282	94	seary	seary	PROPN
jbi-22655	282	95	,	,	PUNCT
jbi-22655	282	96	r.	r.	PROPN
jbi-22655	282	97	l.	l.	PROPN
jbi-22655	282	98	selden	selden	PROPN
jbi-22655	282	99	,	,	PUNCT
jbi-22655	282	100	a.	a.	PROPN
jbi-22655	282	101	r.	r.	PROPN
jbi-22655	282	102	thompson	thompson	PROPN
jbi-22655	282	103	,	,	PUNCT
jbi-22655	282	104	d.	d.	PROPN
jbi-22655	282	105	tommasi	tommasi	PROPN
jbi-22655	282	106	,	,	PUNCT
jbi-22655	282	107	e.	e.	PROPN
jbi-22655	282	108	j.	j.	PROPN
jbi-22655	282	109	ward	ward	PROPN
jbi-22655	282	110	,	,	PUNCT
jbi-22655	282	111	and	and	CCONJ
jbi-22655	282	112	i.	i.	PROPN
jbi-22655	282	113	c.	c.	PROPN
jbi-22655	282	114	kaplan	kaplan	PROPN
jbi-22655	282	115	.	.	PROPN
jbi-22655	282	116	2022	2022	NUM
jbi-22655	282	117	.	.	PUNCT
jbi-22655	283	1	recommendations	recommendation	NOUN
jbi-22655	283	2	for	for	ADP
jbi-22655	283	3	quantifying	quantify	VERB
jbi-22655	283	4	and	and	CCONJ
jbi-22655	283	5	reducing	reduce	VERB
jbi-22655	283	6	uncertainty	uncertainty	NOUN
jbi-22655	283	7	in	in	ADP
jbi-22655	283	8	climate	climate	NOUN
jbi-22655	283	9	projections	projection	NOUN
jbi-22655	283	10	of	of	ADP
jbi-22655	283	11	species	species	NOUN
jbi-22655	283	12	distributions	distribution	NOUN
jbi-22655	283	13	.	.	PUNCT
jbi-22655	284	1	glob	glob	NOUN
jbi-22655	284	2	.	.	PUNCT
jbi-22655	285	1	change	change	NOUN
jbi-22655	285	2	biol	biol	NOUN
jbi-22655	285	3	.	.	PUNCT
jbi-22655	286	1	28:6586–6601	28:6586–6601	NUM
jbi-22655	286	2	.	.	PUNCT
jbi-22655	287	1	bucklin	bucklin	ADJ
jbi-22655	287	2	,	,	PUNCT
jbi-22655	287	3	d.	d.	PROPN
jbi-22655	287	4	n.	n.	PROPN
jbi-22655	287	5	,	,	PUNCT
jbi-22655	287	6	m.	m.	NOUN
jbi-22655	287	7	basille	basille	NOUN
jbi-22655	287	8	,	,	PUNCT
jbi-22655	287	9	a.	a.	NOUN
jbi-22655	287	10	m.	m.	NOUN
jbi-22655	287	11	benscoter	benscoter	NOUN
jbi-22655	287	12	,	,	PUNCT
jbi-22655	287	13	l.	l.	PROPN
jbi-22655	287	14	a.	a.	PROPN
jbi-22655	287	15	brandt	brandt	PROPN
jbi-22655	287	16	,	,	PUNCT
jbi-22655	287	17	f.	f.	PROPN
jbi-22655	287	18	j.	j.	PROPN
jbi-22655	287	19	mazzotti	mazzotti	PROPN
jbi-22655	287	20	,	,	PUNCT
jbi-22655	287	21	s.	s.	PROPN
jbi-22655	287	22	s.	s.	PROPN
jbi-22655	287	23	romañach	romañach	PROPN
jbi-22655	287	24	,	,	PUNCT
jbi-22655	287	25	c.	c.	PROPN
jbi-22655	287	26	speroterra	speroterra	PROPN
jbi-22655	287	27	,	,	PUNCT
jbi-22655	287	28	and	and	CCONJ
jbi-22655	287	29	j.	j.	PROPN
jbi-22655	287	30	i.	i.	PROPN
jbi-22655	287	31	watling	watling	PROPN
jbi-22655	287	32	.	.	PUNCT
jbi-22655	288	1	2015	2015	NUM
jbi-22655	288	2	.	.	PUNCT
jbi-22655	289	1	comparing	compare	VERB
jbi-22655	289	2	species	specie	NOUN
jbi-22655	289	3	distribution	distribution	NOUN
jbi-22655	289	4	models	model	NOUN
jbi-22655	289	5	constructed	construct	VERB
jbi-22655	289	6	with	with	ADP
jbi-22655	289	7	different	different	ADJ
jbi-22655	289	8	subsets	subset	NOUN
jbi-22655	289	9	of	of	ADP
jbi-22655	289	10	environmental	environmental	ADJ
jbi-22655	289	11	predictors	predictor	NOUN
jbi-22655	289	12	.	.	PUNCT
jbi-22655	290	1	divers	diver	NOUN
jbi-22655	290	2	.	.	PUNCT
jbi-22655	291	1	distrib	distrib	PROPN
jbi-22655	291	2	.	.	PUNCT
jbi-22655	292	1	21(1):23–35	21(1):23–35	NUM
jbi-22655	292	2	.	.	PUNCT
jbi-22655	292	3	castillo	castillo	PROPN
jbi-22655	292	4	-	-	PUNCT
jbi-22655	292	5	torres	torres	PROPN
jbi-22655	292	6	,	,	PUNCT
jbi-22655	292	7	p.	p.	NOUN
jbi-22655	292	8	a.	a.	PROPN
jbi-22655	292	9	,	,	PUNCT
jbi-22655	292	10	e.	e.	PROPN
jbi-22655	292	11	martínez	martínez	PROPN
jbi-22655	292	12	-	-	PUNCT
jbi-22655	292	13	meyer	meyer	PROPN
jbi-22655	292	14	,	,	PUNCT
jbi-22655	292	15	f.	f.	PROPN
jbi-22655	292	16	córdova	córdova	PROPN
jbi-22655	292	17	-	-	PUNCT
jbi-22655	292	18	tapia	tapia	PROPN
jbi-22655	292	19	,	,	PUNCT
jbi-22655	292	20	and	and	CCONJ
jbi-22655	292	21	l.	l.	PROPN
jbi-22655	292	22	zambrano	zambrano	PROPN
jbi-22655	292	23	.	.	PROPN
jbi-22655	292	24	2017	2017	NUM
jbi-22655	292	25	.	.	PUNCT
jbi-22655	293	1	potential	potential	ADJ
jbi-22655	293	2	distribution	distribution	NOUN
jbi-22655	293	3	of	of	ADP
jbi-22655	293	4	native	native	ADJ
jbi-22655	293	5	freshwater	freshwater	NOUN
jbi-22655	293	6	fish	fish	NOUN
jbi-22655	293	7	in	in	ADP
jbi-22655	293	8	tabasco	tabasco	PROPN
jbi-22655	293	9	,	,	PUNCT
jbi-22655	293	10	mexico	mexico	PROPN
jbi-22655	293	11	.	.	PUNCT
jbi-22655	294	1	rev	rev	PROPN
jbi-22655	294	2	.	.	PROPN
jbi-22655	295	1	mex	mex	PROPN
jbi-22655	295	2	.	.	PUNCT
jbi-22655	295	3	biodivers	biodiver	NOUN
jbi-22655	295	4	.	.	PUNCT
jbi-22655	296	1	88:415–424	88:415–424	PROPN
jbi-22655	296	2	.	.	PROPN
jbi-22655	296	3	clark	clark	PROPN
jbi-22655	296	4	,	,	PUNCT
jbi-22655	296	5	j.	j.	PROPN
jbi-22655	296	6	d.	d.	PROPN
jbi-22655	296	7	,	,	PUNCT
jbi-22655	296	8	j.	j.	PROPN
jbi-22655	296	9	e.	e.	PROPN
jbi-22655	296	10	dunn	dunn	PROPN
jbi-22655	296	11	,	,	PUNCT
jbi-22655	296	12	and	and	CCONJ
jbi-22655	296	13	k.	k.	PROPN
jbi-22655	296	14	g.	g.	PROPN
jbi-22655	296	15	smith	smith	PROPN
jbi-22655	296	16	.	.	PUNCT
jbi-22655	296	17	1993	1993	NUM
jbi-22655	296	18	.	.	PUNCT
jbi-22655	297	1	a	a	DET
jbi-22655	297	2	multivariate	multivariate	NOUN
jbi-22655	297	3	model	model	NOUN
jbi-22655	297	4	of	of	ADP
jbi-22655	297	5	female	female	ADJ
jbi-22655	297	6	black	black	ADJ
jbi-22655	297	7	bear	bear	NOUN
jbi-22655	297	8	habitat	habitat	NOUN
jbi-22655	297	9	use	use	NOUN
jbi-22655	297	10	for	for	ADP
jbi-22655	297	11	a	a	DET
jbi-22655	297	12	geographic	geographic	ADJ
jbi-22655	297	13	information	information	NOUN
jbi-22655	297	14	system	system	NOUN
jbi-22655	297	15	.	.	PUNCT
jbi-22655	298	1	j.	j.	PROPN
jbi-22655	298	2	wildl	wildl	PROPN
jbi-22655	298	3	.	.	PUNCT
jbi-22655	299	1	manage	manage	VERB
jbi-22655	299	2	.	.	PUNCT
jbi-22655	300	1	57(3):519–526	57(3):519–526	X
jbi-22655	300	2	.	.	PUNCT
jbi-22655	301	1	de	de	PROPN
jbi-22655	301	2	marco	marco	PROPN
jbi-22655	301	3	,	,	PUNCT
jbi-22655	301	4	p.	p.	PROPN
jbi-22655	301	5	jr	jr	PROPN
jbi-22655	301	6	,	,	PUNCT
jbi-22655	301	7	and	and	CCONJ
jbi-22655	301	8	c.	c.	PROPN
jbi-22655	301	9	c.	c.	PROPN
jbi-22655	301	10	nóbrega	nóbrega	PROPN
jbi-22655	301	11	.	.	PUNCT
jbi-22655	302	1	2018	2018	NUM
jbi-22655	302	2	.	.	PUNCT
jbi-22655	303	1	evaluating	evaluate	VERB
jbi-22655	303	2	collinearity	collinearity	NOUN
jbi-22655	303	3	effects	effect	NOUN
jbi-22655	303	4	on	on	ADP
jbi-22655	303	5	species	specie	NOUN
jbi-22655	303	6	distribution	distribution	NOUN
jbi-22655	303	7	models	model	NOUN
jbi-22655	303	8	:	:	PUNCT
jbi-22655	303	9	an	an	DET
jbi-22655	303	10	approach	approach	NOUN
jbi-22655	303	11	based	base	VERB
jbi-22655	303	12	on	on	ADP
jbi-22655	303	13	virtual	virtual	ADJ
jbi-22655	303	14	species	specie	NOUN
jbi-22655	303	15	simulation	simulation	NOUN
jbi-22655	303	16	.	.	PUNCT
jbi-22655	304	1	plos	plos	PROPN
jbi-22655	304	2	one	one	NUM
jbi-22655	304	3	13(9):e0202403	13(9):e0202403	PROPN
jbi-22655	304	4	.	.	PUNCT
jbi-22655	305	1	dormann	dormann	PROPN
jbi-22655	305	2	,	,	PUNCT
jbi-22655	305	3	c.	c.	PROPN
jbi-22655	305	4	f.	f.	PROPN
jbi-22655	305	5	,	,	PUNCT
jbi-22655	305	6	j.	j.	PROPN
jbi-22655	305	7	elith	elith	PROPN
jbi-22655	305	8	,	,	PUNCT
jbi-22655	305	9	s.	s.	PROPN
jbi-22655	305	10	bacher	bacher	PROPN
jbi-22655	305	11	,	,	PUNCT
jbi-22655	305	12	c.	c.	PROPN
jbi-22655	305	13	buchmann	buchmann	PROPN
jbi-22655	305	14	,	,	PUNCT
jbi-22655	305	15	g.	g.	PROPN
jbi-22655	305	16	carl	carl	PROPN
jbi-22655	305	17	,	,	PUNCT
jbi-22655	305	18	g.	g.	PROPN
jbi-22655	305	19	carré	carré	PROPN
jbi-22655	305	20	,	,	PUNCT
jbi-22655	305	21	j.	j.	PROPN
jbi-22655	305	22	r.	r.	PROPN
jbi-22655	305	23	garcía	garcía	PROPN
jbi-22655	305	24	marquéz	marquéz	PROPN
jbi-22655	305	25	,	,	PUNCT
jbi-22655	305	26	b.	b.	PROPN
jbi-22655	305	27	gruber	gruber	PROPN
jbi-22655	305	28	,	,	PUNCT
jbi-22655	305	29	b.	b.	PROPN
jbi-22655	305	30	lafourcade	lafourcade	PROPN
jbi-22655	305	31	,	,	PUNCT
jbi-22655	305	32	p.	p.	PROPN
jbi-22655	305	33	j.	j.	PROPN
jbi-22655	305	34	leitão	leitão	PROPN
jbi-22655	305	35	,	,	PUNCT
jbi-22655	305	36	t.	t.	PROPN
jbi-22655	305	37	münkemüller	münkemüller	PROPN
jbi-22655	305	38	,	,	PUNCT
jbi-22655	305	39	c.	c.	PROPN
jbi-22655	305	40	mcclean	mcclean	PROPN
jbi-22655	305	41	,	,	PUNCT
jbi-22655	305	42	p.	p.	PROPN
jbi-22655	305	43	e.	e.	PROPN
jbi-22655	305	44	osborne	osborne	PROPN
jbi-22655	305	45	,	,	PUNCT
jbi-22655	305	46	b.	b.	PROPN
jbi-22655	305	47	reineking	reineking	PROPN
jbi-22655	305	48	,	,	PUNCT
jbi-22655	305	49	b.	b.	PROPN
jbi-22655	305	50	schröder	schröder	PROPN
jbi-22655	305	51	,	,	PUNCT
jbi-22655	305	52	a.	a.	PROPN
jbi-22655	305	53	k.	k.	PROPN
jbi-22655	305	54	skidmore	skidmore	PROPN
jbi-22655	305	55	,	,	PUNCT
jbi-22655	305	56	d.	d.	PROPN
jbi-22655	305	57	zurell	zurell	PROPN
jbi-22655	305	58	,	,	PUNCT
jbi-22655	305	59	and	and	CCONJ
jbi-22655	305	60	s.	s.	PROPN
jbi-22655	305	61	lautenbach	lautenbach	PROPN
jbi-22655	305	62	.	.	PUNCT
jbi-22655	306	1	2013	2013	NUM
jbi-22655	306	2	.	.	PUNCT
jbi-22655	307	1	collinearity	collinearity	NOUN
jbi-22655	307	2	:	:	PUNCT
jbi-22655	307	3	a	a	DET
jbi-22655	307	4	review	review	NOUN
jbi-22655	307	5	of	of	ADP
jbi-22655	307	6	methods	method	NOUN
jbi-22655	307	7	to	to	PART
jbi-22655	307	8	deal	deal	VERB
jbi-22655	307	9	with	with	ADP
jbi-22655	307	10	it	it	PRON
jbi-22655	307	11	and	and	CCONJ
jbi-22655	307	12	a	a	DET
jbi-22655	307	13	simulation	simulation	NOUN
jbi-22655	307	14	study	study	NOUN
jbi-22655	307	15	evaluating	evaluate	VERB
jbi-22655	307	16	their	their	PRON
jbi-22655	307	17	performance	performance	NOUN
jbi-22655	307	18	.	.	PUNCT
jbi-22655	308	1	ecography	ecography	NOUN
jbi-22655	308	2	36:27–46	36:27–46	PROPN
jbi-22655	308	3	.	.	PUNCT
jbi-22655	309	1	duque	duque	PROPN
jbi-22655	309	2	-	-	PUNCT
jbi-22655	309	3	lazo	lazo	PROPN
jbi-22655	309	4	,	,	PUNCT
jbi-22655	309	5	j.	j.	PROPN
jbi-22655	309	6	,	,	PUNCT
jbi-22655	309	7	h.	h.	PROPN
jbi-22655	309	8	van	van	PROPN
jbi-22655	309	9	gils	gils	PROPN
jbi-22655	309	10	,	,	PUNCT
jbi-22655	309	11	t.	t.	PROPN
jbi-22655	309	12	a.	a.	NOUN
jbi-22655	309	13	groen	groen	PROPN
jbi-22655	309	14	,	,	PUNCT
jbi-22655	309	15	and	and	CCONJ
jbi-22655	309	16	r.	r.	PROPN
jbi-22655	309	17	m.	m.	PROPN
jbi-22655	309	18	navarro	navarro	PROPN
jbi-22655	309	19	-	-	PUNCT
jbi-22655	309	20	cerrillo	cerrillo	NOUN
jbi-22655	309	21	.	.	PUNCT
jbi-22655	310	1	2016	2016	NUM
jbi-22655	310	2	.	.	PUNCT
jbi-22655	311	1	transferability	transferability	NOUN
jbi-22655	311	2	of	of	ADP
jbi-22655	311	3	species	specie	NOUN
jbi-22655	311	4	distribution	distribution	NOUN
jbi-22655	311	5	models	model	NOUN
jbi-22655	311	6	:	:	PUNCT
jbi-22655	311	7	the	the	DET
jbi-22655	311	8	case	case	NOUN
jbi-22655	311	9	of	of	ADP
jbi-22655	311	10	phytophthora	phytophthora	NOUN
jbi-22655	311	11	cinnamomi	cinnamomi	NOUN
jbi-22655	311	12	in	in	ADP
jbi-22655	311	13	southwest	southwest	PROPN
jbi-22655	311	14	spain	spain	PROPN
jbi-22655	311	15	and	and	CCONJ
jbi-22655	311	16	southwest	southwest	PROPN
jbi-22655	311	17	australia	australia	PROPN
jbi-22655	311	18	.	.	PUNCT
jbi-22655	312	1	ecol	ecol	PROPN
jbi-22655	312	2	.	.	PUNCT
jbi-22655	313	1	model	model	NOUN
jbi-22655	313	2	.	.	PUNCT
jbi-22655	314	1	320:62–70	320:62–70	PROPN
jbi-22655	314	2	.	.	PUNCT
jbi-22655	315	1	espindola	espindola	PROPN
jbi-22655	315	2	,	,	PUNCT
jbi-22655	315	3	s.	s.	PROPN
jbi-22655	315	4	,	,	PUNCT
jbi-22655	315	5	j.	j.	PROPN
jbi-22655	315	6	l.	l.	PROPN
jbi-22655	315	7	parra	parra	PROPN
jbi-22655	315	8	,	,	PUNCT
jbi-22655	315	9	and	and	CCONJ
jbi-22655	315	10	e.	e.	PROPN
jbi-22655	315	11	vázquez	vázquez	PROPN
jbi-22655	315	12	-	-	PUNCT
jbi-22655	315	13	domínguez	domínguez	NOUN
jbi-22655	315	14	.	.	NOUN
jbi-22655	315	15	2019	2019	NUM
jbi-22655	315	16	.	.	PUNCT
jbi-22655	316	1	fundamental	fundamental	ADJ
jbi-22655	316	2	niche	niche	NOUN
jbi-22655	316	3	unfilling	unfilling	NOUN
jbi-22655	316	4	and	and	CCONJ
jbi-22655	316	5	potential	potential	ADJ
jbi-22655	316	6	invasion	invasion	NOUN
jbi-22655	316	7	risk	risk	NOUN
jbi-22655	316	8	of	of	ADP
jbi-22655	316	9	the	the	DET
jbi-22655	316	10	slider	slider	NOUN
jbi-22655	316	11	turtle	turtle	PROPN
jbi-22655	316	12	trachemys	trachemys	PROPN
jbi-22655	316	13	scripta	scripta	PROPN
jbi-22655	316	14	.	.	PROPN
jbi-22655	316	15	peerj	peerj	PROPN
jbi-22655	316	16	7	7	NUM
jbi-22655	316	17	:	:	PUNCT
jbi-22655	316	18	e7923	e7923	NUM
jbi-22655	316	19	.	.	PUNCT
jbi-22655	317	1	feng	feng	PROPN
jbi-22655	317	2	,	,	PUNCT
jbi-22655	317	3	x.	x.	NOUN
jbi-22655	317	4	2023	2023	NUM
jbi-22655	317	5	.	.	PUNCT
jbi-22655	318	1	a	a	DET
jbi-22655	318	2	test	test	NOUN
jbi-22655	318	3	of	of	ADP
jbi-22655	318	4	species	specie	NOUN
jbi-22655	318	5	’	'	PUNCT
jbi-22655	318	6	mobility	mobility	NOUN
jbi-22655	318	7	hypothesis	hypothesis	NOUN
jbi-22655	318	8	in	in	ADP
jbi-22655	318	9	ecological	ecological	ADJ
jbi-22655	318	10	niche	niche	NOUN
jbi-22655	318	11	modelling	modelling	NOUN
jbi-22655	318	12	.	.	PUNCT
jbi-22655	319	1	j.	j.	PROPN
jbi-22655	319	2	biogeogr	biogeogr	PROPN
jbi-22655	319	3	.	.	PUNCT
jbi-22655	320	1	50:1955–1966	50:1955–1966	NUM
jbi-22655	320	2	.	.	PUNCT
jbi-22655	321	1	feng	feng	PROPN
jbi-22655	321	2	,	,	PUNCT
jbi-22655	321	3	x.	x.	PROPN
jbi-22655	321	4	,	,	PUNCT
jbi-22655	321	5	d.	d.	PROPN
jbi-22655	321	6	s.	s.	PROPN
jbi-22655	321	7	park	park	PROPN
jbi-22655	321	8	,	,	PUNCT
jbi-22655	321	9	y.	y.	PROPN
jbi-22655	321	10	liang	liang	PROPN
jbi-22655	321	11	,	,	PUNCT
jbi-22655	321	12	r.	r.	PROPN
jbi-22655	321	13	pandey	pandey	PROPN
jbi-22655	321	14	,	,	PUNCT
jbi-22655	321	15	and	and	CCONJ
jbi-22655	321	16	m.	m.	NOUN
jbi-22655	321	17	papeş	papeş	NOUN
jbi-22655	321	18	.	.	PUNCT
jbi-22655	322	1	2019	2019	NUM
jbi-22655	322	2	.	.	PUNCT
jbi-22655	323	1	collinearity	collinearity	NOUN
jbi-22655	323	2	in	in	ADP
jbi-22655	323	3	ecological	ecological	ADJ
jbi-22655	323	4	niche	niche	NOUN
jbi-22655	323	5	modeling	modeling	NOUN
jbi-22655	323	6	:	:	PUNCT
jbi-22655	323	7	confusions	confusion	NOUN
jbi-22655	323	8	and	and	CCONJ
jbi-22655	323	9	challenges	challenge	NOUN
jbi-22655	323	10	.	.	PUNCT
jbi-22655	324	1	ecol	ecol	NOUN
jbi-22655	324	2	.	.	PUNCT
jbi-22655	325	1	evol	evol	NOUN
jbi-22655	325	2	.	.	PUNCT
jbi-22655	326	1	9:10365–10376	9:10365–10376	X
jbi-22655	326	2	.	.	PUNCT
jbi-22655	327	1	fick	fick	PROPN
jbi-22655	327	2	,	,	PUNCT
jbi-22655	327	3	s.	s.	PROPN
jbi-22655	327	4	e.	e.	PROPN
jbi-22655	327	5	,	,	PUNCT
jbi-22655	327	6	and	and	CCONJ
jbi-22655	327	7	r.	r.	PROPN
jbi-22655	327	8	j.	j.	PROPN
jbi-22655	327	9	hijmans	hijmans	PROPN
jbi-22655	327	10	.	.	PUNCT
jbi-22655	328	1	2017	2017	NUM
jbi-22655	328	2	.	.	PUNCT
jbi-22655	329	1	worldclim	worldclim	NOUN
jbi-22655	329	2	2	2	NUM
jbi-22655	329	3	:	:	PUNCT
jbi-22655	329	4	new	new	ADJ
jbi-22655	329	5	1‐km	1‐km	PROPN
jbi-22655	329	6	spatial	spatial	ADJ
jbi-22655	329	7	resolution	resolution	NOUN
jbi-22655	329	8	climate	climate	NOUN
jbi-22655	329	9	surfaces	surface	NOUN
jbi-22655	329	10	for	for	ADP
jbi-22655	329	11	global	global	ADJ
jbi-22655	329	12	land	land	NOUN
jbi-22655	329	13	areas	area	NOUN
jbi-22655	329	14	.	.	PUNCT
jbi-22655	330	1	int	int	NOUN
jbi-22655	330	2	.	.	PUNCT
jbi-22655	331	1	j.	j.	PROPN
jbi-22655	331	2	climatol	climatol	PROPN
jbi-22655	331	3	.	.	PUNCT
jbi-22655	332	1	37:4302–4315	37:4302–4315	NUM
jbi-22655	332	2	.	.	PUNCT
jbi-22655	333	1	grömping	grömping	PROPN
jbi-22655	333	2	,	,	PUNCT
jbi-22655	333	3	u.	u.	PROPN
jbi-22655	333	4	2006	2006	NUM
jbi-22655	333	5	.	.	PUNCT
jbi-22655	334	1	relative	relative	ADJ
jbi-22655	334	2	importance	importance	NOUN
jbi-22655	334	3	for	for	ADP
jbi-22655	334	4	linear	linear	ADJ
jbi-22655	334	5	regression	regression	NOUN
jbi-22655	334	6	in	in	ADP
jbi-22655	334	7	r	r	NOUN
jbi-22655	334	8	:	:	PUNCT
jbi-22655	334	9	the	the	DET
jbi-22655	334	10	package	package	NOUN
jbi-22655	334	11	relaimpo	relaimpo	NOUN
jbi-22655	334	12	.	.	PUNCT
jbi-22655	335	1	j.	j.	PROPN
jbi-22655	335	2	stat	stat	PROPN
jbi-22655	335	3	.	.	PUNCT
jbi-22655	336	1	softw	softw	PROPN
jbi-22655	336	2	.	.	PUNCT
jbi-22655	337	1	17(1):1–27	17(1):1–27	NUM
jbi-22655	337	2	.	.	PUNCT
jbi-22655	338	1	guisan	guisan	PROPN
jbi-22655	338	2	,	,	PUNCT
jbi-22655	338	3	a.	a.	NOUN
jbi-22655	338	4	,	,	PUNCT
jbi-22655	338	5	and	and	CCONJ
jbi-22655	338	6	n.	n.	PROPN
jbi-22655	338	7	e.	e.	PROPN
jbi-22655	338	8	zimmermann	zimmermann	PROPN
jbi-22655	338	9	.	.	PUNCT
jbi-22655	339	1	2000	2000	NUM
jbi-22655	339	2	.	.	PUNCT
jbi-22655	340	1	predictive	predictive	ADJ
jbi-22655	340	2	habitat	habitat	NOUN
jbi-22655	340	3	distribution	distribution	NOUN
jbi-22655	340	4	models	model	NOUN
jbi-22655	340	5	in	in	ADP
jbi-22655	340	6	ecology	ecology	NOUN
jbi-22655	340	7	.	.	PUNCT
jbi-22655	341	1	ecol	ecol	PROPN
jbi-22655	341	2	.	.	PUNCT
jbi-22655	342	1	model	model	NOUN
jbi-22655	342	2	.	.	PUNCT
jbi-22655	343	1	135:147–86	135:147–86	NUM
jbi-22655	343	2	.	.	PUNCT
jbi-22655	344	1	hijmans	hijman	NOUN
jbi-22655	344	2	,	,	PUNCT
jbi-22655	344	3	r.	r.	PROPN
jbi-22655	344	4	j.	j.	PROPN
jbi-22655	344	5	,	,	PUNCT
jbi-22655	344	6	s.	s.	PROPN
jbi-22655	344	7	phillips	phillips	PROPN
jbi-22655	344	8	,	,	PUNCT
jbi-22655	344	9	j.	j.	PROPN
jbi-22655	344	10	leathwick	leathwick	PROPN
jbi-22655	344	11	,	,	PUNCT
jbi-22655	344	12	and	and	CCONJ
jbi-22655	344	13	j.	j.	PROPN
jbi-22655	344	14	elith	elith	PROPN
jbi-22655	344	15	.	.	PUNCT
jbi-22655	344	16	2017	2017	NUM
jbi-22655	344	17	.	.	PUNCT
jbi-22655	345	1	package	package	NOUN
jbi-22655	345	2	‘	'	PUNCT
jbi-22655	345	3	dismo	dismo	NOUN
jbi-22655	345	4	’	'	PUNCT
jbi-22655	345	5	.	.	PUNCT
jbi-22655	346	1	circles	circle	NOUN
jbi-22655	346	2	9(1):1–68	9(1):1–68	PROPN
jbi-22655	346	3	.	.	PUNCT
jbi-22655	347	1	hirzel	hirzel	PROPN
jbi-22655	347	2	,	,	PUNCT
jbi-22655	347	3	a.	a.	PROPN
jbi-22655	347	4	h.	h.	PROPN
jbi-22655	347	5	,	,	PUNCT
jbi-22655	347	6	j.	j.	PROPN
jbi-22655	347	7	hausser	hausser	PROPN
jbi-22655	347	8	,	,	PUNCT
jbi-22655	347	9	d.	d.	PROPN
jbi-22655	347	10	chessel	chessel	PROPN
jbi-22655	347	11	,	,	PUNCT
jbi-22655	347	12	and	and	CCONJ
jbi-22655	347	13	n.	n.	PROPN
jbi-22655	347	14	perrin	perrin	NOUN
jbi-22655	347	15	.	.	PUNCT
jbi-22655	348	1	2002	2002	NUM
jbi-22655	348	2	.	.	PUNCT
jbi-22655	349	1	ecological	ecological	ADJ
jbi-22655	349	2	-	-	PUNCT
jbi-22655	349	3	niche	niche	NOUN
jbi-22655	349	4	factor	factor	NOUN
jbi-22655	349	5	analysis	analysis	NOUN
jbi-22655	349	6	:	:	PUNCT
jbi-22655	349	7	how	how	SCONJ
jbi-22655	349	8	to	to	PART
jbi-22655	349	9	compute	compute	VERB
jbi-22655	349	10	habitat	habitat	NOUN
jbi-22655	349	11	-	-	PUNCT
jbi-22655	349	12	suitability	suitability	NOUN
jbi-22655	349	13	maps	map	NOUN
jbi-22655	349	14	without	without	ADP
jbi-22655	349	15	absence	absence	NOUN
jbi-22655	349	16	data	datum	NOUN
jbi-22655	349	17	?	?	PUNCT
jbi-22655	350	1	ecology	ecology	NOUN
jbi-22655	350	2	83(7):2027	83(7):2027	NUM
jbi-22655	350	3	–	–	PUNCT
jbi-22655	350	4	2036	2036	NUM
jbi-22655	350	5	.	.	PUNCT
jbi-22655	351	1	hirzel	hirzel	PROPN
jbi-22655	351	2	,	,	PUNCT
jbi-22655	351	3	a.	a.	PROPN
jbi-22655	351	4	h.	h.	PROPN
jbi-22655	351	5	,	,	PUNCT
jbi-22655	351	6	g.	g.	PROPN
jbi-22655	351	7	le	le	PROPN
jbi-22655	351	8	lay	lay	VERB
jbi-22655	351	9	,	,	PUNCT
jbi-22655	351	10	v.	v.	PROPN
jbi-22655	351	11	helfer	helfer	PROPN
jbi-22655	351	12	,	,	PUNCT
jbi-22655	351	13	c.	c.	PROPN
jbi-22655	351	14	randin	randin	ADV
jbi-22655	351	15	,	,	PUNCT
jbi-22655	351	16	and	and	CCONJ
jbi-22655	351	17	a.	a.	NOUN
jbi-22655	351	18	guisan	guisan	PROPN
jbi-22655	351	19	.	.	PUNCT
jbi-22655	352	1	2006	2006	NUM
jbi-22655	352	2	.	.	PUNCT
jbi-22655	353	1	evaluating	evaluate	VERB
jbi-22655	353	2	the	the	DET
jbi-22655	353	3	ability	ability	NOUN
jbi-22655	353	4	of	of	ADP
jbi-22655	353	5	habitat	habitat	NOUN
jbi-22655	353	6	suitability	suitability	NOUN
jbi-22655	353	7	models	model	NOUN
jbi-22655	353	8	to	to	PART
jbi-22655	353	9	predict	predict	VERB
jbi-22655	353	10	species	specie	NOUN
jbi-22655	353	11	presences	presence	NOUN
jbi-22655	353	12	.	.	PUNCT
jbi-22655	354	1	ecol	ecol	PROPN
jbi-22655	354	2	.	.	PUNCT
jbi-22655	355	1	model	model	NOUN
jbi-22655	355	2	.	.	PUNCT
jbi-22655	356	1	199:142–152	199:142–152	NUM
jbi-22655	356	2	.	.	PUNCT
jbi-22655	357	1	holloway	holloway	PROPN
jbi-22655	357	2	,	,	PUNCT
jbi-22655	357	3	p.	p.	NOUN
jbi-22655	357	4	,	,	PUNCT
jbi-22655	357	5	and	and	CCONJ
jbi-22655	357	6	j.	j.	PROPN
jbi-22655	357	7	a.	a.	PROPN
jbi-22655	357	8	miller	miller	PROPN
jbi-22655	357	9	.	.	PUNCT
jbi-22655	358	1	2017	2017	NUM
jbi-22655	358	2	.	.	PUNCT
jbi-22655	359	1	a	a	DET
jbi-22655	359	2	quantitative	quantitative	ADJ
jbi-22655	359	3	synthesis	synthesis	NOUN
jbi-22655	359	4	of	of	ADP
jbi-22655	359	5	the	the	DET
jbi-22655	359	6	movement	movement	NOUN
jbi-22655	359	7	concepts	concept	NOUN
jbi-22655	359	8	used	use	VERB
jbi-22655	359	9	within	within	ADP
jbi-22655	359	10	species	species	NOUN
jbi-22655	359	11	distribution	distribution	NOUN
jbi-22655	359	12	modelling	modelling	NOUN
jbi-22655	359	13	.	.	PUNCT
jbi-22655	360	1	ecol	ecol	NOUN
jbi-22655	360	2	.	.	PUNCT
jbi-22655	361	1	model	model	NOUN
jbi-22655	361	2	.	.	PUNCT
jbi-22655	362	1	356:91–103	356:91–103	NUM
jbi-22655	362	2	.	.	PUNCT
jbi-22655	363	1	huang	huang	PROPN
jbi-22655	363	2	,	,	PUNCT
jbi-22655	363	3	e.	e.	PROPN
jbi-22655	363	4	,	,	PUNCT
jbi-22655	363	5	y.	y.	PROPN
jbi-22655	363	6	chen	chen	PROPN
jbi-22655	363	7	,	,	PUNCT
jbi-22655	363	8	m.	m.	NOUN
jbi-22655	363	9	fang	fang	PROPN
jbi-22655	363	10	,	,	PUNCT
jbi-22655	363	11	y.	y.	PROPN
jbi-22655	363	12	zheng	zheng	PROPN
jbi-22655	363	13	,	,	PUNCT
jbi-22655	363	14	and	and	CCONJ
jbi-22655	363	15	s.	s.	PROPN
jbi-22655	363	16	yu	yu	PROPN
jbi-22655	363	17	.	.	PROPN
jbi-22655	363	18	2021	2021	NUM
jbi-22655	363	19	.	.	PUNCT
jbi-22655	364	1	environmental	environmental	ADJ
jbi-22655	364	2	drivers	driver	NOUN
jbi-22655	364	3	of	of	ADP
jbi-22655	364	4	plant	plant	NOUN
jbi-22655	364	5	distributions	distribution	NOUN
jbi-22655	364	6	at	at	ADP
jbi-22655	364	7	global	global	ADJ
jbi-22655	364	8	and	and	CCONJ
jbi-22655	364	9	regional	regional	ADJ
jbi-22655	364	10	scales	scale	NOUN
jbi-22655	364	11	.	.	PUNCT
jbi-22655	365	1	glob	glob	NOUN
jbi-22655	365	2	.	.	PUNCT
jbi-22655	366	1	ecol	ecol	PROPN
jbi-22655	366	2	.	.	PUNCT
jbi-22655	367	1	biogeogr	biogeogr	NOUN
jbi-22655	367	2	.	.	PUNCT
jbi-22655	368	1	30:697–709	30:697–709	NUM
jbi-22655	368	2	.	.	PUNCT
jbi-22655	369	1	hurlbert	hurlbert	PROPN
jbi-22655	369	2	,	,	PUNCT
jbi-22655	369	3	s.	s.	PROPN
jbi-22655	369	4	h.	h.	PROPN
jbi-22655	369	5	,	,	PUNCT
jbi-22655	369	6	r.	r.	PROPN
jbi-22655	369	7	a.	a.	PROPN
jbi-22655	369	8	levine	levine	PROPN
jbi-22655	369	9	,	,	PUNCT
jbi-22655	369	10	and	and	CCONJ
jbi-22655	369	11	j.	j.	PROPN
jbi-22655	369	12	utts	utts	PROPN
jbi-22655	369	13	.	.	PROPN
jbi-22655	370	1	2019	2019	NUM
jbi-22655	370	2	.	.	PUNCT
jbi-22655	371	1	coup	coup	PROPN
jbi-22655	371	2	de	de	X
jbi-22655	371	3	grâce	grâce	PROPN
jbi-22655	371	4	for	for	ADP
jbi-22655	371	5	a	a	DET
jbi-22655	371	6	tough	tough	ADJ
jbi-22655	371	7	old	old	ADJ
jbi-22655	371	8	bull	bull	NOUN
jbi-22655	371	9	:	:	PUNCT
jbi-22655	371	10	“	"	PUNCT
jbi-22655	371	11	statistically	statistically	ADV
jbi-22655	371	12	significant	significant	ADJ
jbi-22655	371	13	”	"	PUNCT
jbi-22655	371	14	expires	expire	NOUN
jbi-22655	371	15	.	.	PUNCT
jbi-22655	372	1	am	be	AUX
jbi-22655	372	2	.	.	PUNCT
jbi-22655	373	1	stat	stat	NOUN
jbi-22655	373	2	.	.	PUNCT
jbi-22655	374	1	73:352–357	73:352–357	NUM
jbi-22655	374	2	.	.	PUNCT
jbi-22655	375	1	inman	inman	PROPN
jbi-22655	375	2	,	,	PUNCT
jbi-22655	375	3	r.	r.	PROPN
jbi-22655	375	4	,	,	PUNCT
jbi-22655	375	5	j.	j.	PROPN
jbi-22655	375	6	franklin	franklin	PROPN
jbi-22655	375	7	,	,	PUNCT
jbi-22655	375	8	t.	t.	NOUN
jbi-22655	375	9	esque	esque	NOUN
jbi-22655	375	10	,	,	PUNCT
jbi-22655	375	11	and	and	CCONJ
jbi-22655	375	12	k.	k.	PROPN
jbi-22655	375	13	nussear	nussear	PROPN
jbi-22655	375	14	.	.	PUNCT
jbi-22655	376	1	2021	2021	NUM
jbi-22655	376	2	.	.	PUNCT
jbi-22655	377	1	comparing	compare	VERB
jbi-22655	377	2	sample	sample	NOUN
jbi-22655	377	3	bias	bias	NOUN
jbi-22655	377	4	correction	correction	NOUN
jbi-22655	377	5	methods	method	NOUN
jbi-22655	377	6	for	for	ADP
jbi-22655	377	7	species	specie	NOUN
jbi-22655	377	8	distribution	distribution	NOUN
jbi-22655	377	9	modeling	modeling	NOUN
jbi-22655	377	10	using	use	VERB
jbi-22655	377	11	virtual	virtual	ADJ
jbi-22655	377	12	species	specie	NOUN
jbi-22655	377	13	.	.	PUNCT
jbi-22655	378	1	ecosphere	ecosphere	PROPN
jbi-22655	378	2	12(3	12(3	NUM
jbi-22655	378	3	):	):	PUNCT
jbi-22655	378	4	e03422	e03422	ADJ
jbi-22655	378	5	.	.	PUNCT
jbi-22655	379	1	jiménez	jiménez	PROPN
jbi-22655	379	2	,	,	PUNCT
jbi-22655	379	3	l.	l.	PROPN
jbi-22655	379	4	,	,	PUNCT
jbi-22655	379	5	and	and	CCONJ
jbi-22655	379	6	j.	j.	PROPN
jbi-22655	379	7	soberón	soberón	PROPN
jbi-22655	379	8	.	.	PUNCT
jbi-22655	379	9	2022	2022	NUM
jbi-22655	379	10	.	.	PUNCT
jbi-22655	380	1	estimating	estimate	VERB
jbi-22655	380	2	the	the	DET
jbi-22655	380	3	fundamental	fundamental	ADJ
jbi-22655	380	4	niche	niche	NOUN
jbi-22655	380	5	:	:	PUNCT
jbi-22655	380	6	accounting	account	VERB
jbi-22655	380	7	for	for	ADP
jbi-22655	380	8	the	the	DET
jbi-22655	380	9	uneven	uneven	ADJ
jbi-22655	380	10	availability	availability	NOUN
jbi-22655	380	11	of	of	ADP
jbi-22655	380	12	existing	exist	VERB
jbi-22655	380	13	climates	climate	NOUN
jbi-22655	380	14	in	in	ADP
jbi-22655	380	15	the	the	DET
jbi-22655	380	16	calibration	calibration	NOUN
jbi-22655	380	17	area	area	NOUN
jbi-22655	380	18	.	.	PUNCT
jbi-22655	381	1	ecol	ecol	PROPN
jbi-22655	381	2	.	.	PUNCT
jbi-22655	382	1	model	model	NOUN
jbi-22655	382	2	.	.	PUNCT
jbi-22655	383	1	464:109823	464:109823	NUM
jbi-22655	383	2	.	.	X
jbi-22655	383	3	jackson	jackson	PROPN
jbi-22655	383	4	,	,	PUNCT
jbi-22655	383	5	s.	s.	PROPN
jbi-22655	383	6	t.	t.	PROPN
jbi-22655	383	7	,	,	PUNCT
jbi-22655	383	8	and	and	CCONJ
jbi-22655	383	9	j.	j.	PROPN
jbi-22655	383	10	t.	t.	PROPN
jbi-22655	383	11	overpeck	overpeck	PROPN
jbi-22655	383	12	.	.	PUNCT
jbi-22655	383	13	2000	2000	NUM
jbi-22655	383	14	.	.	PUNCT
jbi-22655	384	1	responses	response	NOUN
jbi-22655	384	2	of	of	ADP
jbi-22655	384	3	plant	plant	NOUN
jbi-22655	384	4	populations	population	NOUN
jbi-22655	384	5	and	and	CCONJ
jbi-22655	384	6	communities	community	NOUN
jbi-22655	384	7	to	to	ADP
jbi-22655	384	8	environmental	environmental	ADJ
jbi-22655	384	9	changes	change	NOUN
jbi-22655	384	10	of	of	ADP
jbi-22655	384	11	the	the	DET
jbi-22655	384	12	late	late	ADJ
jbi-22655	384	13	quaternary	quaternary	NOUN
jbi-22655	384	14	.	.	PUNCT
jbi-22655	385	1	paleobiology	paleobiology	NOUN
jbi-22655	385	2	26(suppl	26(suppl	NUM
jbi-22655	385	3	):	):	PUNCT
jbi-22655	386	1	194–220	194–220	NUM
jbi-22655	386	2	.	.	PUNCT
jbi-22655	386	3	kass	kass	PROPN
jbi-22655	386	4	,	,	PUNCT
jbi-22655	386	5	j.	j.	PROPN
jbi-22655	386	6	m.	m.	PROPN
jbi-22655	386	7	,	,	PUNCT
jbi-22655	386	8	r.	r.	PROPN
jbi-22655	386	9	muscarella	muscarella	PROPN
jbi-22655	386	10	,	,	PUNCT
jbi-22655	386	11	p.	p.	PROPN
jbi-22655	386	12	j.	j.	PROPN
jbi-22655	386	13	galante	galante	PROPN
jbi-22655	386	14	,	,	PUNCT
jbi-22655	386	15	c.	c.	PROPN
jbi-22655	386	16	l.	l.	PROPN
jbi-22655	386	17	bohl	bohl	PROPN
jbi-22655	386	18	,	,	PUNCT
jbi-22655	386	19	g.	g.	PROPN
jbi-22655	386	20	e.	e.	PROPN
jbi-22655	386	21	pinilla‐buitrago	pinilla‐buitrago	PROPN
jbi-22655	386	22	,	,	PUNCT
jbi-22655	386	23	r.	r.	PROPN
jbi-22655	386	24	a.	a.	PROPN
jbi-22655	386	25	boria	boria	PROPN
jbi-22655	386	26	,	,	PUNCT
jbi-22655	386	27	m.	m.	NOUN
jbi-22655	386	28	soley‐guardia	soley‐guardia	PROPN
jbi-22655	386	29	,	,	PUNCT
jbi-22655	386	30	and	and	CCONJ
jbi-22655	386	31	r.	r.	PROPN
jbi-22655	386	32	p.	p.	PROPN
jbi-22655	386	33	anderson	anderson	PROPN
jbi-22655	386	34	.	.	PUNCT
jbi-22655	386	35	2021	2021	NUM
jbi-22655	386	36	.	.	PUNCT
jbi-22655	387	1	enmeval	enmeval	PROPN
jbi-22655	387	2	2.0	2.0	NUM
jbi-22655	387	3	:	:	PUNCT
jbi-22655	387	4	redesigned	redesign	VERB
jbi-22655	387	5	for	for	ADP
jbi-22655	387	6	customizable	customizable	ADJ
jbi-22655	387	7	and	and	CCONJ
jbi-22655	387	8	reproducible	reproducible	VERB
jbi-22655	387	9	modeling	modeling	NOUN
jbi-22655	387	10	of	of	ADP
jbi-22655	387	11	species	specie	NOUN
jbi-22655	387	12	’	'	PUNCT
jbi-22655	387	13	niches	niche	NOUN
jbi-22655	387	14	and	and	CCONJ
jbi-22655	387	15	distributions	distribution	NOUN
jbi-22655	387	16	.	.	PUNCT
jbi-22655	388	1	methods	method	NOUN
jbi-22655	388	2	ecol	ecol	PRON
jbi-22655	388	3	.	.	PUNCT
jbi-22655	389	1	evol	evol	NOUN
jbi-22655	389	2	.	.	PUNCT
jbi-22655	390	1	12:1602–1608	12:1602–1608	X
jbi-22655	390	2	.	.	PUNCT
jbi-22655	391	1	leroy	leroy	PROPN
jbi-22655	391	2	,	,	PUNCT
jbi-22655	391	3	b.	b.	PROPN
jbi-22655	391	4	,	,	PUNCT
jbi-22655	391	5	c.	c.	PROPN
jbi-22655	391	6	n.	n.	PROPN
jbi-22655	391	7	meynard	meynard	PROPN
jbi-22655	391	8	,	,	PUNCT
jbi-22655	391	9	c.	c.	PROPN
jbi-22655	391	10	bellard	bellard	NOUN
jbi-22655	391	11	,	,	PUNCT
jbi-22655	391	12	and	and	CCONJ
jbi-22655	391	13	f.	f.	PROPN
jbi-22655	391	14	courchamp	courchamp	PROPN
jbi-22655	391	15	.	.	PUNCT
jbi-22655	392	1	2016	2016	NUM
jbi-22655	392	2	.	.	PUNCT
jbi-22655	393	1	virtualspecies	virtualspecie	NOUN
jbi-22655	393	2	,	,	PUNCT
jbi-22655	393	3	an	an	DET
jbi-22655	393	4	r	r	NOUN
jbi-22655	393	5	package	package	NOUN
jbi-22655	393	6	to	to	PART
jbi-22655	393	7	generate	generate	VERB
jbi-22655	393	8	virtual	virtual	ADJ
jbi-22655	393	9	species	specie	NOUN
jbi-22655	393	10	distributions	distribution	NOUN
jbi-22655	393	11	.	.	PUNCT
jbi-22655	394	1	ecography	ecography	NOUN
jbi-22655	394	2	39:599–607	39:599–607	PROPN
jbi-22655	394	3	.	.	PUNCT
jbi-22655	395	1	lobo	lobo	PROPN
jbi-22655	395	2	,	,	PUNCT
jbi-22655	395	3	j.	j.	PROPN
jbi-22655	395	4	m.	m.	PROPN
jbi-22655	395	5	,	,	PUNCT
jbi-22655	395	6	a.	a.	PROPN
jbi-22655	395	7	jiménez‐valverde	jiménez‐valverde	PROPN
jbi-22655	395	8	,	,	PUNCT
jbi-22655	395	9	and	and	CCONJ
jbi-22655	395	10	r.	r.	PROPN
jbi-22655	395	11	real	real	PROPN
jbi-22655	395	12	.	.	PUNCT
jbi-22655	396	1	2008	2008	NUM
jbi-22655	396	2	.	.	PUNCT
jbi-22655	397	1	auc	auc	NOUN
jbi-22655	397	2	:	:	PUNCT
jbi-22655	397	3	a	a	DET
jbi-22655	397	4	misleading	misleading	ADJ
jbi-22655	397	5	measure	measure	NOUN
jbi-22655	397	6	of	of	ADP
jbi-22655	397	7	the	the	DET
jbi-22655	397	8	performance	performance	NOUN
jbi-22655	397	9	of	of	ADP
jbi-22655	397	10	predictive	predictive	ADJ
jbi-22655	397	11	distribution	distribution	NOUN
jbi-22655	397	12	models	model	NOUN
jbi-22655	397	13	.	.	PUNCT
jbi-22655	398	1	glob	glob	NOUN
jbi-22655	398	2	.	.	PUNCT
jbi-22655	399	1	ecol	ecol	PROPN
jbi-22655	399	2	.	.	PUNCT
jbi-22655	400	1	biogeogr	biogeogr	NOUN
jbi-22655	400	2	.	.	PUNCT
jbi-22655	401	1	17:145–151	17:145–151	NUM
jbi-22655	401	2	.	.	PUNCT
jbi-22655	402	1	lobo	lobo	PROPN
jbi-22655	402	2	,	,	PUNCT
jbi-22655	402	3	j.	j.	PROPN
jbi-22655	402	4	m.	m.	PROPN
jbi-22655	402	5	,	,	PUNCT
jbi-22655	402	6	and	and	CCONJ
jbi-22655	402	7	m.	m.	PROPN
jbi-22655	402	8	f.	f.	PROPN
jbi-22655	402	9	tognelli	tognelli	PROPN
jbi-22655	402	10	.	.	PUNCT
jbi-22655	403	1	2011	2011	NUM
jbi-22655	403	2	.	.	PUNCT
jbi-22655	404	1	exploring	explore	VERB
jbi-22655	404	2	the	the	DET
jbi-22655	404	3	effects	effect	NOUN
jbi-22655	404	4	of	of	ADP
jbi-22655	404	5	quantity	quantity	NOUN
jbi-22655	404	6	and	and	CCONJ
jbi-22655	404	7	location	location	NOUN
jbi-22655	404	8	of	of	ADP
jbi-22655	404	9	pseudo	pseudo	NOUN
jbi-22655	404	10	-	-	NOUN
jbi-22655	404	11	absences	absence	NOUN
jbi-22655	404	12	and	and	CCONJ
jbi-22655	404	13	sampling	sample	VERB
jbi-22655	404	14	biases	bias	NOUN
jbi-22655	404	15	on	on	ADP
jbi-22655	404	16	the	the	DET
jbi-22655	404	17	performance	performance	NOUN
jbi-22655	404	18	of	of	ADP
jbi-22655	404	19	distribution	distribution	NOUN
jbi-22655	404	20	models	model	NOUN
jbi-22655	404	21	with	with	ADP
jbi-22655	404	22	limited	limited	ADJ
jbi-22655	404	23	point	point	NOUN
jbi-22655	404	24	occurrence	occurrence	NOUN
jbi-22655	404	25	data	datum	NOUN
jbi-22655	404	26	.	.	PUNCT
jbi-22655	405	1	j.	j.	PROPN
jbi-22655	405	2	nat	nat	PROPN
jbi-22655	405	3	.	.	PUNCT
jbi-22655	406	1	conserv	conserv	PROPN
jbi-22655	406	2	.	.	PUNCT
jbi-22655	407	1	19:1–7	19:1–7	X
jbi-22655	407	2	.	.	PUNCT
jbi-22655	408	1	luna	luna	PROPN
jbi-22655	408	2	et	et	PROPN
jbi-22655	408	3	al	al	PROPN
jbi-22655	408	4	.	.	PROPN
jbi-22655	408	5	–	–	PUNCT
jbi-22655	408	6	species	species	NOUN
jbi-22655	408	7	distribution	distribution	NOUN
jbi-22655	408	8	model	model	NOUN
jbi-22655	408	9	accuracy	accuracy	NOUN
jbi-22655	408	10	influenced	influence	VERB
jbi-22655	408	11	by	by	ADP
jbi-22655	408	12	calibration	calibration	NOUN
jbi-22655	408	13	area	area	NOUN
jbi-22655	408	14	54	54	NUM
jbi-22655	408	15	machado	machado	PROPN
jbi-22655	408	16	-	-	PUNCT
jbi-22655	408	17	stredel	stredel	PROPN
jbi-22655	408	18	,	,	PUNCT
jbi-22655	408	19	f.	f.	PROPN
jbi-22655	408	20	,	,	PUNCT
jbi-22655	408	21	m.	m.	PROPN
jbi-22655	408	22	e.	e.	PROPN
jbi-22655	408	23	cobos	cobos	PROPN
jbi-22655	408	24	,	,	PUNCT
jbi-22655	408	25	and	and	CCONJ
jbi-22655	408	26	a.	a.	NOUN
jbi-22655	408	27	t.	t.	PROPN
jbi-22655	408	28	peterson	peterson	PROPN
jbi-22655	408	29	.	.	PROPN
jbi-22655	408	30	2021	2021	NUM
jbi-22655	408	31	.	.	PUNCT
jbi-22655	409	1	a	a	DET
jbi-22655	409	2	simulation	simulation	NOUN
jbi-22655	409	3	-	-	PUNCT
jbi-22655	409	4	based	base	VERB
jbi-22655	409	5	method	method	NOUN
jbi-22655	409	6	for	for	ADP
jbi-22655	409	7	selecting	select	VERB
jbi-22655	409	8	calibration	calibration	NOUN
jbi-22655	409	9	areas	area	NOUN
jbi-22655	409	10	for	for	ADP
jbi-22655	409	11	ecological	ecological	ADJ
jbi-22655	409	12	niche	niche	NOUN
jbi-22655	409	13	models	model	NOUN
jbi-22655	409	14	and	and	CCONJ
jbi-22655	409	15	species	specie	NOUN
jbi-22655	409	16	distribution	distribution	NOUN
jbi-22655	409	17	models	model	NOUN
jbi-22655	409	18	.	.	PUNCT
jbi-22655	410	1	front	front	ADJ
jbi-22655	410	2	.	.	PUNCT
jbi-22655	410	3	biogeogr	biogeogr	NOUN
jbi-22655	410	4	.	.	PUNCT
jbi-22655	411	1	13(4):e48814	13(4):e48814	X
jbi-22655	411	2	.	.	PUNCT
jbi-22655	411	3	masin	masin	PROPN
jbi-22655	411	4	,	,	PUNCT
jbi-22655	411	5	s.	s.	PROPN
jbi-22655	411	6	,	,	PUNCT
jbi-22655	411	7	a.	a.	NOUN
jbi-22655	411	8	bonardi	bonardi	PROPN
jbi-22655	411	9	,	,	PUNCT
jbi-22655	411	10	e.	e.	PROPN
jbi-22655	411	11	padoa	padoa	PROPN
jbi-22655	411	12	-	-	PUNCT
jbi-22655	411	13	schioppa	schioppa	NOUN
jbi-22655	411	14	,	,	PUNCT
jbi-22655	411	15	l.	l.	PROPN
jbi-22655	411	16	bottoni	bottoni	PROPN
jbi-22655	411	17	,	,	PUNCT
jbi-22655	411	18	and	and	CCONJ
jbi-22655	411	19	g.	g.	PROPN
jbi-22655	411	20	f.	f.	PROPN
jbi-22655	411	21	ficetola	ficetola	PROPN
jbi-22655	411	22	.	.	PUNCT
jbi-22655	412	1	2014	2014	NUM
jbi-22655	412	2	.	.	PUNCT
jbi-22655	413	1	risk	risk	NOUN
jbi-22655	413	2	of	of	ADP
jbi-22655	413	3	invasion	invasion	NOUN
jbi-22655	413	4	by	by	ADP
jbi-22655	413	5	frequently	frequently	ADV
jbi-22655	413	6	traded	trade	VERB
jbi-22655	413	7	freshwater	freshwater	NOUN
jbi-22655	413	8	turtles	turtle	NOUN
jbi-22655	413	9	.	.	PUNCT
jbi-22655	414	1	biol	biol	PROPN
jbi-22655	414	2	.	.	PUNCT
jbi-22655	415	1	invasions	invasion	NOUN
jbi-22655	415	2	16:217–231	16:217–231	NUM
jbi-22655	415	3	.	.	PUNCT
jbi-22655	416	1	merow	merow	PROPN
jbi-22655	416	2	,	,	PUNCT
jbi-22655	416	3	c.	c.	PROPN
jbi-22655	416	4	,	,	PUNCT
jbi-22655	416	5	m.	m.	PROPN
jbi-22655	416	6	j.	j.	PROPN
jbi-22655	416	7	smith	smith	PROPN
jbi-22655	416	8	,	,	PUNCT
jbi-22655	416	9	and	and	CCONJ
jbi-22655	416	10	j.	j.	PROPN
jbi-22655	416	11	a.	a.	PROPN
jbi-22655	416	12	silander	silander	PROPN
jbi-22655	416	13	.	.	PUNCT
jbi-22655	417	1	2013	2013	NUM
jbi-22655	417	2	.	.	PUNCT
jbi-22655	418	1	a	a	DET
jbi-22655	418	2	practical	practical	ADJ
jbi-22655	418	3	guide	guide	NOUN
jbi-22655	418	4	to	to	PART
jbi-22655	418	5	maxent	maxent	VERB
jbi-22655	418	6	for	for	ADP
jbi-22655	418	7	modeling	model	VERB
jbi-22655	418	8	species	specie	NOUN
jbi-22655	418	9	’	'	PUNCT
jbi-22655	418	10	distributions	distribution	NOUN
jbi-22655	418	11	:	:	PUNCT
jbi-22655	418	12	what	what	PRON
jbi-22655	418	13	it	it	PRON
jbi-22655	418	14	does	do	VERB
jbi-22655	418	15	,	,	PUNCT
jbi-22655	418	16	and	and	CCONJ
jbi-22655	418	17	why	why	SCONJ
jbi-22655	418	18	inputs	input	NOUN
jbi-22655	418	19	and	and	CCONJ
jbi-22655	418	20	settings	setting	NOUN
jbi-22655	418	21	matter	matter	VERB
jbi-22655	418	22	.	.	PUNCT
jbi-22655	419	1	ecography	ecography	NOUN
jbi-22655	419	2	36:1058–1069	36:1058–1069	NUM
jbi-22655	419	3	.	.	PUNCT
jbi-22655	420	1	merow	merow	PROPN
jbi-22655	420	2	,	,	PUNCT
jbi-22655	420	3	c.	c.	PROPN
jbi-22655	420	4	,	,	PUNCT
jbi-22655	420	5	m.	m.	PROPN
jbi-22655	420	6	j.	j.	PROPN
jbi-22655	420	7	smith	smith	PROPN
jbi-22655	420	8	,	,	PUNCT
jbi-22655	420	9	t.	t.	PROPN
jbi-22655	420	10	c.	c.	PROPN
jbi-22655	420	11	edwards	edwards	PROPN
jbi-22655	420	12	,	,	PUNCT
jbi-22655	420	13	a.	a.	PROPN
jbi-22655	420	14	guisan	guisan	PROPN
jbi-22655	420	15	,	,	PUNCT
jbi-22655	420	16	s.	s.	PROPN
jbi-22655	420	17	m.	m.	PROPN
jbi-22655	420	18	mcmahon	mcmahon	PROPN
jbi-22655	420	19	,	,	PUNCT
jbi-22655	420	20	s.	s.	PROPN
jbi-22655	420	21	normand	normand	PROPN
jbi-22655	420	22	,	,	PUNCT
jbi-22655	420	23	w.	w.	PROPN
jbi-22655	420	24	thuiller	thuiller	PROPN
jbi-22655	420	25	,	,	PUNCT
jbi-22655	420	26	r.	r.	PROPN
jbi-22655	420	27	o.	o.	PROPN
jbi-22655	420	28	wüest	wüest	PROPN
jbi-22655	420	29	,	,	PUNCT
jbi-22655	420	30	n.	n.	PROPN
jbi-22655	420	31	e.	e.	PROPN
jbi-22655	420	32	zimmermann	zimmermann	PROPN
jbi-22655	420	33	,	,	PUNCT
jbi-22655	420	34	and	and	CCONJ
jbi-22655	420	35	j.	j.	PROPN
jbi-22655	420	36	elith	elith	PROPN
jbi-22655	420	37	.	.	PUNCT
jbi-22655	421	1	2014	2014	NUM
jbi-22655	421	2	.	.	PUNCT
jbi-22655	422	1	what	what	PRON
jbi-22655	422	2	do	do	AUX
jbi-22655	422	3	we	we	PRON
jbi-22655	422	4	gain	gain	VERB
jbi-22655	422	5	from	from	ADP
jbi-22655	422	6	simplicity	simplicity	NOUN
jbi-22655	422	7	versus	versus	ADP
jbi-22655	422	8	complexity	complexity	NOUN
jbi-22655	422	9	in	in	ADP
jbi-22655	422	10	species	specie	NOUN
jbi-22655	422	11	distribution	distribution	NOUN
jbi-22655	422	12	models	model	NOUN
jbi-22655	422	13	?	?	PUNCT
jbi-22655	423	1	ecography	ecography	NOUN
jbi-22655	423	2	37(12):1267–81	37(12):1267–81	NUM
jbi-22655	423	3	.	.	PUNCT
jbi-22655	424	1	meynard	meynard	NOUN
jbi-22655	424	2	,	,	PUNCT
jbi-22655	424	3	c.	c.	PROPN
jbi-22655	424	4	n.	n.	PROPN
jbi-22655	424	5	,	,	PUNCT
jbi-22655	424	6	b.	b.	PROPN
jbi-22655	424	7	leroy	leroy	PROPN
jbi-22655	424	8	,	,	PUNCT
jbi-22655	424	9	and	and	CCONJ
jbi-22655	424	10	d.	d.	PROPN
jbi-22655	424	11	m.	m.	PROPN
jbi-22655	424	12	kaplan	kaplan	PROPN
jbi-22655	424	13	.	.	PROPN
jbi-22655	424	14	2019	2019	NUM
jbi-22655	424	15	.	.	PUNCT
jbi-22655	425	1	testing	testing	NOUN
jbi-22655	425	2	methods	method	NOUN
jbi-22655	425	3	in	in	ADP
jbi-22655	425	4	species	specie	NOUN
jbi-22655	425	5	distribution	distribution	NOUN
jbi-22655	425	6	modelling	modelling	NOUN
jbi-22655	425	7	using	use	VERB
jbi-22655	425	8	virtual	virtual	ADJ
jbi-22655	425	9	species	specie	NOUN
jbi-22655	425	10	:	:	PUNCT
jbi-22655	425	11	what	what	PRON
jbi-22655	425	12	have	have	AUX
jbi-22655	425	13	we	we	PRON
jbi-22655	425	14	learnt	learn	VERB
jbi-22655	425	15	and	and	CCONJ
jbi-22655	425	16	what	what	PRON
jbi-22655	425	17	are	be	AUX
jbi-22655	425	18	we	we	PRON
jbi-22655	425	19	missing	miss	VERB
jbi-22655	425	20	?	?	PUNCT
jbi-22655	426	1	ecography	ecography	PROPN
jbi-22655	426	2	42:2021–2036	42:2021–2036	PROPN
jbi-22655	426	3	.	.	PUNCT
jbi-22655	426	4	naimi	naimi	PROPN
jbi-22655	426	5	,	,	PUNCT
jbi-22655	426	6	b.	b.	PROPN
jbi-22655	426	7	,	,	PUNCT
jbi-22655	426	8	n.	n.	PROPN
jbi-22655	426	9	a.	a.	PROPN
jbi-22655	426	10	s.	s.	PROPN
jbi-22655	426	11	hamm	hamm	PROPN
jbi-22655	426	12	,	,	PUNCT
jbi-22655	426	13	t.	t.	PROPN
jbi-22655	426	14	a.	a.	NOUN
jbi-22655	426	15	groen	groen	PROPN
jbi-22655	426	16	,	,	PUNCT
jbi-22655	426	17	a.	a.	PROPN
jbi-22655	426	18	k.	k.	PROPN
jbi-22655	426	19	skidmore	skidmore	PROPN
jbi-22655	426	20	,	,	PUNCT
jbi-22655	426	21	and	and	CCONJ
jbi-22655	426	22	a.	a.	NOUN
jbi-22655	426	23	g.	g.	PROPN
jbi-22655	426	24	toxopeus	toxopeus	PROPN
jbi-22655	426	25	.	.	PUNCT
jbi-22655	427	1	2014	2014	NUM
jbi-22655	427	2	.	.	PUNCT
jbi-22655	428	1	where	where	SCONJ
jbi-22655	428	2	is	be	AUX
jbi-22655	428	3	positional	positional	ADJ
jbi-22655	428	4	uncertainty	uncertainty	NOUN
jbi-22655	428	5	a	a	DET
jbi-22655	428	6	problem	problem	NOUN
jbi-22655	428	7	for	for	ADP
jbi-22655	428	8	species	species	NOUN
jbi-22655	428	9	distribution	distribution	NOUN
jbi-22655	428	10	modelling	modelling	NOUN
jbi-22655	428	11	?	?	PUNCT
jbi-22655	429	1	ecography	ecography	NOUN
jbi-22655	429	2	37:191–203	37:191–203	PROPN
jbi-22655	429	3	.	.	PUNCT
jbi-22655	430	1	owens	owens	PROPN
jbi-22655	430	2	,	,	PUNCT
jbi-22655	430	3	h.	h.	PROPN
jbi-22655	430	4	l.	l.	PROPN
jbi-22655	430	5	,	,	PUNCT
jbi-22655	430	6	l.	l.	PROPN
jbi-22655	430	7	p.	p.	PROPN
jbi-22655	430	8	campbell	campbell	PROPN
jbi-22655	430	9	,	,	PUNCT
jbi-22655	430	10	l.	l.	PROPN
jbi-22655	430	11	l.	l.	PROPN
jbi-22655	430	12	dornak	dornak	PROPN
jbi-22655	430	13	,	,	PUNCT
jbi-22655	430	14	e.	e.	PROPN
jbi-22655	430	15	e.	e.	PROPN
jbi-22655	430	16	saupe	saupe	PROPN
jbi-22655	430	17	,	,	PUNCT
jbi-22655	430	18	n.	n.	PROPN
jbi-22655	430	19	barve	barve	PROPN
jbi-22655	430	20	,	,	PUNCT
jbi-22655	430	21	j.	j.	PROPN
jbi-22655	430	22	soberón	soberón	PROPN
jbi-22655	430	23	,	,	PUNCT
jbi-22655	430	24	k.	k.	PROPN
jbi-22655	430	25	ingenloff	ingenloff	PROPN
jbi-22655	430	26	,	,	PUNCT
jbi-22655	430	27	a.	a.	PROPN
jbi-22655	430	28	lira	lira	PROPN
jbi-22655	430	29	-	-	PUNCT
jbi-22655	430	30	noriega	noriega	PROPN
jbi-22655	430	31	,	,	PUNCT
jbi-22655	430	32	c.	c.	PROPN
jbi-22655	430	33	m.	m.	PROPN
jbi-22655	430	34	hensz	hensz	PROPN
jbi-22655	430	35	,	,	PUNCT
jbi-22655	430	36	c.	c.	PROPN
jbi-22655	430	37	e.	e.	PROPN
jbi-22655	430	38	myers	myers	PROPN
jbi-22655	430	39	,	,	PUNCT
jbi-22655	430	40	and	and	CCONJ
jbi-22655	430	41	a.	a.	NOUN
jbi-22655	430	42	t.	t.	PROPN
jbi-22655	430	43	peterson	peterson	PROPN
jbi-22655	430	44	.	.	PROPN
jbi-22655	430	45	2013	2013	NUM
jbi-22655	430	46	.	.	PUNCT
jbi-22655	431	1	constraints	constraint	NOUN
jbi-22655	431	2	on	on	ADP
jbi-22655	431	3	interpretation	interpretation	NOUN
jbi-22655	431	4	of	of	ADP
jbi-22655	431	5	ecological	ecological	ADJ
jbi-22655	431	6	niche	niche	NOUN
jbi-22655	431	7	models	model	NOUN
jbi-22655	431	8	by	by	ADP
jbi-22655	431	9	limited	limited	ADJ
jbi-22655	431	10	environmental	environmental	ADJ
jbi-22655	431	11	ranges	range	NOUN
jbi-22655	431	12	on	on	ADP
jbi-22655	431	13	calibration	calibration	NOUN
jbi-22655	431	14	areas	area	NOUN
jbi-22655	431	15	.	.	PUNCT
jbi-22655	432	1	ecol	ecol	PROPN
jbi-22655	432	2	.	.	PUNCT
jbi-22655	433	1	model	model	NOUN
jbi-22655	433	2	.	.	PUNCT
jbi-22655	434	1	263:10–18	263:10–18	X
jbi-22655	434	2	.	.	X
jbi-22655	434	3	peterson	peterson	PROPN
jbi-22655	434	4	,	,	PUNCT
jbi-22655	434	5	a.	a.	NOUN
jbi-22655	434	6	t.	t.	PROPN
jbi-22655	434	7	,	,	PUNCT
jbi-22655	434	8	and	and	CCONJ
jbi-22655	434	9	j.	j.	PROPN
jbi-22655	434	10	soberón	soberón	PROPN
jbi-22655	434	11	.	.	PUNCT
jbi-22655	435	1	2012	2012	NUM
jbi-22655	435	2	.	.	PUNCT
jbi-22655	436	1	species	specie	NOUN
jbi-22655	436	2	distribution	distribution	NOUN
jbi-22655	436	3	modeling	modeling	NOUN
jbi-22655	436	4	and	and	CCONJ
jbi-22655	436	5	ecological	ecological	ADJ
jbi-22655	436	6	niche	niche	NOUN
jbi-22655	436	7	modeling	modeling	NOUN
jbi-22655	436	8	:	:	PUNCT
jbi-22655	436	9	getting	get	VERB
jbi-22655	436	10	the	the	DET
jbi-22655	436	11	concepts	concept	NOUN
jbi-22655	436	12	right	right	ADJ
jbi-22655	436	13	.	.	PUNCT
jbi-22655	437	1	nat	nat	PROPN
jbi-22655	437	2	.	.	PUNCT
jbi-22655	438	1	conserv	conserv	NOUN
jbi-22655	438	2	.	.	PUNCT
jbi-22655	439	1	10:102–107	10:102–107	NUM
jbi-22655	439	2	.	.	PUNCT
jbi-22655	440	1	phillips	phillips	PROPN
jbi-22655	440	2	,	,	PUNCT
jbi-22655	440	3	s.	s.	PROPN
jbi-22655	440	4	j.	j.	PROPN
jbi-22655	440	5	,	,	PUNCT
jbi-22655	440	6	r.	r.	PROPN
jbi-22655	440	7	p.	p.	PROPN
jbi-22655	440	8	anderson	anderson	PROPN
jbi-22655	440	9	,	,	PUNCT
jbi-22655	440	10	and	and	CCONJ
jbi-22655	440	11	r.	r.	PROPN
jbi-22655	440	12	e.	e.	PROPN
jbi-22655	440	13	schapire	schapire	PROPN
jbi-22655	440	14	.	.	PUNCT
jbi-22655	441	1	2006	2006	NUM
jbi-22655	441	2	.	.	PUNCT
jbi-22655	442	1	maximum	maximum	ADJ
jbi-22655	442	2	entropy	entropy	PROPN
jbi-22655	442	3	modeling	modeling	NOUN
jbi-22655	442	4	of	of	ADP
jbi-22655	442	5	species	specie	NOUN
jbi-22655	442	6	geographic	geographic	ADJ
jbi-22655	442	7	distributions	distribution	NOUN
jbi-22655	442	8	.	.	PUNCT
jbi-22655	443	1	ecol	ecol	PROPN
jbi-22655	443	2	.	.	PUNCT
jbi-22655	444	1	model	model	NOUN
jbi-22655	444	2	.	.	PUNCT
jbi-22655	445	1	190:231–259	190:231–259	NUM
jbi-22655	445	2	.	.	PUNCT
jbi-22655	446	1	ranc	ranc	NOUN
jbi-22655	446	2	,	,	PUNCT
jbi-22655	446	3	n.	n.	PROPN
jbi-22655	446	4	,	,	PUNCT
jbi-22655	446	5	l.	l.	PROPN
jbi-22655	446	6	santini	santini	PROPN
jbi-22655	446	7	,	,	PUNCT
jbi-22655	446	8	c.	c.	PROPN
jbi-22655	446	9	rondinini	rondinini	PROPN
jbi-22655	446	10	,	,	PUNCT
jbi-22655	446	11	l.	l.	PROPN
jbi-22655	446	12	boitani	boitani	PROPN
jbi-22655	446	13	,	,	PUNCT
jbi-22655	446	14	f.	f.	PROPN
jbi-22655	446	15	poitevin	poitevin	PROPN
jbi-22655	446	16	,	,	PUNCT
jbi-22655	446	17	a.	a.	NOUN
jbi-22655	446	18	angerbjörn	angerbjörn	PROPN
jbi-22655	446	19	,	,	PUNCT
jbi-22655	446	20	and	and	CCONJ
jbi-22655	446	21	l.	l.	PROPN
jbi-22655	446	22	maiorano	maiorano	PROPN
jbi-22655	446	23	.	.	PROPN
jbi-22655	447	1	2017	2017	NUM
jbi-22655	447	2	.	.	PUNCT
jbi-22655	448	1	performance	performance	NOUN
jbi-22655	448	2	tradeoffs	tradeoff	NOUN
jbi-22655	448	3	in	in	ADP
jbi-22655	448	4	target	target	NOUN
jbi-22655	448	5	-	-	PUNCT
jbi-22655	448	6	group	group	NOUN
jbi-22655	448	7	bias	bias	NOUN
jbi-22655	448	8	correction	correction	NOUN
jbi-22655	448	9	for	for	ADP
jbi-22655	448	10	species	species	NOUN
jbi-22655	448	11	distribution	distribution	NOUN
jbi-22655	448	12	models	model	NOUN
jbi-22655	448	13	.	.	PUNCT
jbi-22655	449	1	ecography	ecography	NOUN
jbi-22655	449	2	40(9):1076–87	40(9):1076–87	PROPN
jbi-22655	449	3	.	.	PUNCT
jbi-22655	450	1	rotllan	rotllan	NOUN
jbi-22655	450	2	-	-	PUNCT
jbi-22655	450	3	puig	puig	NOUN
jbi-22655	450	4	,	,	PUNCT
jbi-22655	450	5	x.	x.	NOUN
jbi-22655	450	6	,	,	PUNCT
jbi-22655	450	7	and	and	CCONJ
jbi-22655	450	8	a.	a.	NOUN
jbi-22655	450	9	traveset	traveset	NOUN
jbi-22655	450	10	.	.	PUNCT
jbi-22655	451	1	2021	2021	NUM
jbi-22655	451	2	.	.	PUNCT
jbi-22655	452	1	determining	determine	VERB
jbi-22655	452	2	the	the	DET
jbi-22655	452	3	minimal	minimal	ADJ
jbi-22655	452	4	background	background	NOUN
jbi-22655	452	5	area	area	NOUN
jbi-22655	452	6	for	for	ADP
jbi-22655	452	7	species	species	NOUN
jbi-22655	452	8	distribution	distribution	NOUN
jbi-22655	452	9	models	model	NOUN
jbi-22655	452	10	:	:	PUNCT
jbi-22655	452	11	minbar	minbar	ADJ
jbi-22655	452	12	package	package	NOUN
jbi-22655	452	13	.	.	PUNCT
jbi-22655	453	1	ecol	ecol	PROPN
jbi-22655	453	2	.	.	PUNCT
jbi-22655	454	1	model	model	NOUN
jbi-22655	454	2	.	.	PUNCT
jbi-22655	455	1	439:109353	439:109353	NUM
jbi-22655	455	2	.	.	PROPN
jbi-22655	455	3	sillero	sillero	PROPN
jbi-22655	455	4	,	,	PUNCT
jbi-22655	455	5	n.	n.	NOUN
jbi-22655	455	6	,	,	PUNCT
jbi-22655	455	7	and	and	CCONJ
jbi-22655	455	8	a.	a.	NOUN
jbi-22655	455	9	m.	m.	PROPN
jbi-22655	455	10	barbosa	barbosa	PROPN
jbi-22655	455	11	.	.	PROPN
jbi-22655	455	12	2021	2021	NUM
jbi-22655	455	13	.	.	PUNCT
jbi-22655	456	1	common	common	ADJ
jbi-22655	456	2	mistakes	mistake	NOUN
jbi-22655	456	3	in	in	ADP
jbi-22655	456	4	ecological	ecological	ADJ
jbi-22655	456	5	niche	niche	NOUN
jbi-22655	456	6	models	model	NOUN
jbi-22655	456	7	.	.	PUNCT
jbi-22655	457	1	int	int	NOUN
jbi-22655	457	2	.	.	PUNCT
jbi-22655	458	1	j.	j.	PROPN
jbi-22655	458	2	geogr	geogr	PROPN
jbi-22655	458	3	.	.	PUNCT
jbi-22655	458	4	inf	inf	PROPN
jbi-22655	458	5	.	.	PUNCT
jbi-22655	459	1	sci	sci	PROPN
jbi-22655	459	2	.	.	PUNCT
jbi-22655	460	1	35(2):213–226	35(2):213–226	PROPN
jbi-22655	460	2	sillero	sillero	NOUN
jbi-22655	460	3	,	,	PUNCT
jbi-22655	460	4	n.	n.	PROPN
jbi-22655	460	5	,	,	PUNCT
jbi-22655	460	6	s.	s.	PROPN
jbi-22655	460	7	arenas	arenas	PROPN
jbi-22655	460	8	-	-	PUNCT
jbi-22655	460	9	castro	castro	PROPN
jbi-22655	460	10	,	,	PUNCT
jbi-22655	460	11	u.	u.	PROPN
jbi-22655	460	12	enriquez‐urzelai	enriquez‐urzelai	PROPN
jbi-22655	460	13	,	,	PUNCT
jbi-22655	460	14	c.	c.	PROPN
jbi-22655	460	15	gomes	gomes	PROPN
jbi-22655	460	16	vale	vale	PROPN
jbi-22655	460	17	,	,	PUNCT
jbi-22655	460	18	d.	d.	PROPN
jbi-22655	460	19	sousa	sousa	PROPN
jbi-22655	460	20	-	-	PUNCT
jbi-22655	460	21	guedes	guede	NOUN
jbi-22655	460	22	,	,	PUNCT
jbi-22655	460	23	f.	f.	PROPN
jbi-22655	460	24	martínez	martínez	PROPN
jbi-22655	460	25	-	-	PUNCT
jbi-22655	460	26	freiría	freiría	PROPN
jbi-22655	460	27	,	,	PUNCT
jbi-22655	460	28	r.	r.	PROPN
jbi-22655	460	29	real	real	NOUN
jbi-22655	460	30	,	,	PUNCT
jbi-22655	460	31	and	and	CCONJ
jbi-22655	460	32	a.	a.	NOUN
jbi-22655	460	33	márcia	márcia	PROPN
jbi-22655	460	34	barbosa	barbosa	PROPN
jbi-22655	460	35	.	.	PROPN
jbi-22655	460	36	2021	2021	NUM
jbi-22655	460	37	.	.	PUNCT
jbi-22655	461	1	want	want	VERB
jbi-22655	461	2	to	to	PART
jbi-22655	461	3	model	model	VERB
jbi-22655	461	4	a	a	DET
jbi-22655	461	5	species	species	NOUN
jbi-22655	461	6	niche	niche	NOUN
jbi-22655	461	7	?	?	PUNCT
jbi-22655	462	1	a	a	DET
jbi-22655	462	2	step	step	NOUN
jbi-22655	462	3	-	-	PUNCT
jbi-22655	462	4	by	by	ADP
jbi-22655	462	5	-	-	PUNCT
jbi-22655	462	6	step	step	NOUN
jbi-22655	462	7	guideline	guideline	NOUN
jbi-22655	462	8	on	on	ADP
jbi-22655	462	9	correlative	correlative	ADJ
jbi-22655	462	10	ecological	ecological	ADJ
jbi-22655	462	11	niche	niche	NOUN
jbi-22655	462	12	modelling	modelling	NOUN
jbi-22655	462	13	.	.	PUNCT
jbi-22655	463	1	ecol	ecol	NOUN
jbi-22655	463	2	.	.	PUNCT
jbi-22655	464	1	model	model	NOUN
jbi-22655	464	2	.	.	PUNCT
jbi-22655	465	1	456:109671	456:109671	NUM
jbi-22655	465	2	.	.	PUNCT
jbi-22655	465	3	soberón	soberón	PROPN
jbi-22655	465	4	,	,	PUNCT
jbi-22655	465	5	j.	j.	PROPN
jbi-22655	465	6	,	,	PUNCT
jbi-22655	465	7	and	and	CCONJ
jbi-22655	465	8	a.	a.	NOUN
jbi-22655	465	9	t.	t.	PROPN
jbi-22655	465	10	peterson	peterson	PROPN
jbi-22655	465	11	.	.	PROPN
jbi-22655	465	12	2005	2005	NUM
jbi-22655	465	13	.	.	PUNCT
jbi-22655	466	1	interpretation	interpretation	NOUN
jbi-22655	466	2	of	of	ADP
jbi-22655	466	3	models	model	NOUN
jbi-22655	466	4	of	of	ADP
jbi-22655	466	5	fundamental	fundamental	ADJ
jbi-22655	466	6	ecological	ecological	ADJ
jbi-22655	466	7	niches	niche	NOUN
jbi-22655	466	8	and	and	CCONJ
jbi-22655	466	9	species	specie	NOUN
jbi-22655	466	10	’	'	PUNCT
jbi-22655	466	11	distributional	distributional	ADJ
jbi-22655	466	12	areas	area	NOUN
jbi-22655	466	13	.	.	PUNCT
jbi-22655	467	1	biodivers	biodiver	NOUN
jbi-22655	467	2	.	.	PUNCT
jbi-22655	468	1	inform	inform	NOUN
jbi-22655	468	2	.	.	PUNCT
jbi-22655	469	1	2:1–10	2:1–10	NUM
jbi-22655	469	2	.	.	PUNCT
jbi-22655	469	3	soberón	soberón	NOUN
jbi-22655	469	4	,	,	PUNCT
jbi-22655	469	5	j.	j.	PROPN
jbi-22655	469	6	,	,	PUNCT
jbi-22655	469	7	and	and	CCONJ
jbi-22655	469	8	b.	b.	PROPN
jbi-22655	469	9	arroyo	arroyo	PROPN
jbi-22655	469	10	-	-	PUNCT
jbi-22655	469	11	peña	peña	PROPN
jbi-22655	469	12	.	.	PUNCT
jbi-22655	469	13	2017	2017	NUM
jbi-22655	469	14	.	.	PUNCT
jbi-22655	469	15	are	be	AUX
jbi-22655	469	16	fundamental	fundamental	ADJ
jbi-22655	469	17	niches	niche	NOUN
jbi-22655	469	18	larger	large	ADJ
jbi-22655	469	19	than	than	ADP
jbi-22655	469	20	the	the	DET
jbi-22655	469	21	realized	realize	VERB
jbi-22655	469	22	?	?	PUNCT
jbi-22655	470	1	testing	test	VERB
jbi-22655	470	2	a	a	DET
jbi-22655	470	3	50	50	NUM
jbi-22655	470	4	-	-	PUNCT
jbi-22655	470	5	year	year	NOUN
jbi-22655	470	6	-	-	PUNCT
jbi-22655	470	7	old	old	ADJ
jbi-22655	470	8	prediction	prediction	NOUN
jbi-22655	470	9	by	by	ADP
jbi-22655	470	10	hutchinson	hutchinson	PROPN
jbi-22655	470	11	.	.	PROPN
jbi-22655	471	1	plos	plos	PROPN
jbi-22655	471	2	one	one	NUM
jbi-22655	471	3	12(4):e0175138	12(4):e0175138	PROPN
jbi-22655	471	4	.	.	PUNCT
jbi-22655	471	5	shcheglovitova	shcheglovitova	PROPN
jbi-22655	471	6	,	,	PUNCT
jbi-22655	471	7	m.	m.	NOUN
jbi-22655	471	8	,	,	PUNCT
jbi-22655	471	9	and	and	CCONJ
jbi-22655	471	10	r.	r.	PROPN
jbi-22655	471	11	p.	p.	PROPN
jbi-22655	471	12	anderson	anderson	PROPN
jbi-22655	471	13	.	.	PUNCT
jbi-22655	472	1	2013	2013	NUM
jbi-22655	472	2	.	.	PUNCT
jbi-22655	473	1	estimating	estimate	VERB
jbi-22655	473	2	optimal	optimal	ADJ
jbi-22655	473	3	complexity	complexity	NOUN
jbi-22655	473	4	for	for	ADP
jbi-22655	473	5	ecological	ecological	ADJ
jbi-22655	473	6	niche	niche	NOUN
jbi-22655	473	7	models	model	NOUN
jbi-22655	473	8	:	:	PUNCT
jbi-22655	473	9	a	a	DET
jbi-22655	473	10	jackknife	jackknife	NOUN
jbi-22655	473	11	approach	approach	NOUN
jbi-22655	473	12	for	for	ADP
jbi-22655	473	13	species	specie	NOUN
jbi-22655	473	14	with	with	ADP
jbi-22655	473	15	small	small	ADJ
jbi-22655	473	16	sample	sample	NOUN
jbi-22655	473	17	sizes	size	NOUN
jbi-22655	473	18	.	.	PUNCT
jbi-22655	474	1	ecol	ecol	PROPN
jbi-22655	474	2	.	.	PUNCT
jbi-22655	475	1	model	model	NOUN
jbi-22655	475	2	.	.	PUNCT
jbi-22655	476	1	269:9–17	269:9–17	X
jbi-22655	476	2	.	.	PUNCT
jbi-22655	476	3	soberon	soberon	PROPN
jbi-22655	476	4	,	,	PUNCT
jbi-22655	476	5	j.	j.	PROPN
jbi-22655	476	6	,	,	PUNCT
jbi-22655	476	7	and	and	CCONJ
jbi-22655	476	8	a.	a.	NOUN
jbi-22655	476	9	t.	t.	PROPN
jbi-22655	476	10	peterson	peterson	PROPN
jbi-22655	476	11	.	.	PROPN
jbi-22655	476	12	2005	2005	NUM
jbi-22655	476	13	.	.	PUNCT
jbi-22655	477	1	interpretation	interpretation	NOUN
jbi-22655	477	2	of	of	ADP
jbi-22655	477	3	models	model	NOUN
jbi-22655	477	4	of	of	ADP
jbi-22655	477	5	fundamental	fundamental	ADJ
jbi-22655	477	6	ecological	ecological	ADJ
jbi-22655	477	7	niches	niche	NOUN
jbi-22655	477	8	and	and	CCONJ
jbi-22655	477	9	species	specie	NOUN
jbi-22655	477	10	’	'	PUNCT
jbi-22655	477	11	distributional	distributional	ADJ
jbi-22655	477	12	areas	area	NOUN
jbi-22655	477	13	.	.	PUNCT
jbi-22655	478	1	biodivers	biodiver	NOUN
jbi-22655	478	2	.	.	PUNCT
jbi-22655	479	1	inform	inform	NOUN
jbi-22655	479	2	.	.	PUNCT
jbi-22655	480	1	2:1–10	2:1–10	NUM
jbi-22655	480	2	.	.	PUNCT
jbi-22655	480	3	soberón	soberón	NOUN
jbi-22655	480	4	,	,	PUNCT
jbi-22655	480	5	j.	j.	PROPN
jbi-22655	480	6	,	,	PUNCT
jbi-22655	480	7	and	and	CCONJ
jbi-22655	480	8	m.	m.	NOUN
jbi-22655	480	9	nakamura	nakamura	PROPN
jbi-22655	480	10	.	.	PUNCT
jbi-22655	480	11	2009	2009	NUM
jbi-22655	480	12	.	.	PUNCT
jbi-22655	481	1	niches	niche	NOUN
jbi-22655	481	2	and	and	CCONJ
jbi-22655	481	3	distributional	distributional	ADJ
jbi-22655	481	4	areas	area	NOUN
jbi-22655	481	5	:	:	PUNCT
jbi-22655	481	6	concepts	concept	NOUN
jbi-22655	481	7	,	,	PUNCT
jbi-22655	481	8	methods	method	NOUN
jbi-22655	481	9	,	,	PUNCT
jbi-22655	481	10	and	and	CCONJ
jbi-22655	481	11	assumptions	assumption	NOUN
jbi-22655	481	12	.	.	PUNCT
jbi-22655	482	1	proc	proc	NOUN
jbi-22655	482	2	.	.	PUNCT
jbi-22655	483	1	natl	natl	PROPN
jbi-22655	483	2	.	.	PUNCT
jbi-22655	484	1	acad	acad	PROPN
jbi-22655	484	2	.	.	PUNCT
jbi-22655	485	1	sci	sci	PROPN
jbi-22655	485	2	.	.	PROPN
jbi-22655	485	3	usa	usa	PROPN
jbi-22655	485	4	106(2):19644–19650	106(2):19644–19650	PROPN
jbi-22655	485	5	.	.	PUNCT
jbi-22655	486	1	srinivasulu	srinivasulu	PROPN
jbi-22655	486	2	,	,	PUNCT
jbi-22655	486	3	a.	a.	PROPN
jbi-22655	486	4	,	,	PUNCT
jbi-22655	486	5	b.	b.	PROPN
jbi-22655	487	1	srinivasulu	srinivasulu	PROPN
jbi-22655	487	2	,	,	PUNCT
jbi-22655	487	3	and	and	CCONJ
jbi-22655	487	4	c.	c.	PROPN
jbi-22655	487	5	srinivasulu	srinivasulu	ADJ
jbi-22655	487	6	.	.	PUNCT
jbi-22655	488	1	2021	2021	NUM
jbi-22655	488	2	.	.	PUNCT
jbi-22655	489	1	ecological	ecological	ADJ
jbi-22655	489	2	niche	niche	NOUN
jbi-22655	489	3	modelling	modelling	NOUN
jbi-22655	489	4	for	for	ADP
jbi-22655	489	5	the	the	DET
jbi-22655	489	6	conservation	conservation	NOUN
jbi-22655	489	7	of	of	ADP
jbi-22655	489	8	endemic	endemic	ADJ
jbi-22655	489	9	threatened	threaten	VERB
jbi-22655	489	10	squamates	squamate	NOUN
jbi-22655	489	11	(	(	PUNCT
jbi-22655	489	12	lizards	lizard	NOUN
jbi-22655	489	13	and	and	CCONJ
jbi-22655	489	14	snakes	snake	NOUN
jbi-22655	489	15	)	)	PUNCT
jbi-22655	489	16	in	in	ADP
jbi-22655	489	17	the	the	DET
jbi-22655	489	18	western	western	ADJ
jbi-22655	489	19	ghats	ghat	NOUN
jbi-22655	489	20	.	.	PUNCT
jbi-22655	490	1	glob	glob	NOUN
jbi-22655	490	2	.	.	PUNCT
jbi-22655	491	1	ecol	ecol	PROPN
jbi-22655	491	2	.	.	PUNCT
jbi-22655	492	1	conserv	conserv	NOUN
jbi-22655	492	2	.	.	PUNCT
jbi-22655	493	1	28	28	NUM
jbi-22655	493	2	:	:	PUNCT
jbi-22655	493	3	e01700	e01700	PROPN
jbi-22655	493	4	.	.	PUNCT
jbi-22655	493	5	stockwell	stockwell	PROPN
jbi-22655	493	6	,	,	PUNCT
jbi-22655	493	7	d.	d.	PROPN
jbi-22655	493	8	r.	r.	PROPN
jbi-22655	493	9	b.	b.	PROPN
jbi-22655	493	10	,	,	PUNCT
jbi-22655	493	11	and	and	CCONJ
jbi-22655	493	12	i.	i.	PROPN
jbi-22655	493	13	r.	r.	PROPN
jbi-22655	493	14	noble	noble	PROPN
jbi-22655	493	15	.	.	PUNCT
jbi-22655	494	1	1992	1992	NUM
jbi-22655	494	2	.	.	PUNCT
jbi-22655	495	1	induction	induction	NOUN
jbi-22655	495	2	of	of	ADP
jbi-22655	495	3	sets	set	NOUN
jbi-22655	495	4	of	of	ADP
jbi-22655	495	5	rules	rule	NOUN
jbi-22655	495	6	from	from	ADP
jbi-22655	495	7	animal	animal	NOUN
jbi-22655	495	8	distribution	distribution	NOUN
jbi-22655	495	9	data	datum	NOUN
jbi-22655	495	10	:	:	PUNCT
jbi-22655	495	11	a	a	DET
jbi-22655	495	12	robust	robust	ADJ
jbi-22655	495	13	and	and	CCONJ
jbi-22655	495	14	informative	informative	ADJ
jbi-22655	495	15	method	method	NOUN
jbi-22655	495	16	of	of	ADP
jbi-22655	495	17	data	datum	NOUN
jbi-22655	495	18	analysis	analysis	NOUN
jbi-22655	495	19	.	.	PUNCT
jbi-22655	496	1	math	math	NOUN
jbi-22655	496	2	.	.	PUNCT
jbi-22655	497	1	comput	comput	NOUN
jbi-22655	497	2	.	.	PUNCT
jbi-22655	498	1	simul	simul	PROPN
jbi-22655	498	2	.	.	PUNCT
jbi-22655	499	1	33:385–390	33:385–390	PROPN
jbi-22655	499	2	.	.	PUNCT
jbi-22655	500	1	taylor	taylor	PROPN
jbi-22655	500	2	,	,	PUNCT
jbi-22655	500	3	a.	a.	NOUN
jbi-22655	500	4	t.	t.	PROPN
jbi-22655	500	5	,	,	PUNCT
jbi-22655	500	6	t.	t.	PROPN
jbi-22655	500	7	hafen	hafen	PROPN
jbi-22655	500	8	,	,	PUNCT
jbi-22655	500	9	c.	c.	PROPN
jbi-22655	500	10	t.	t.	PROPN
jbi-22655	500	11	holley	holley	PROPN
jbi-22655	500	12	,	,	PUNCT
jbi-22655	500	13	a.	a.	NOUN
jbi-22655	500	14	gonzález	gonzález	PROPN
jbi-22655	500	15	,	,	PUNCT
jbi-22655	500	16	and	and	CCONJ
jbi-22655	500	17	j.	j.	PROPN
jbi-22655	500	18	m.	m.	PROPN
jbi-22655	500	19	long	long	ADV
jbi-22655	500	20	.	.	PUNCT
jbi-22655	501	1	2020	2020	NUM
jbi-22655	501	2	.	.	PUNCT
jbi-22655	502	1	spatial	spatial	ADJ
jbi-22655	502	2	sampling	sampling	NOUN
jbi-22655	502	3	bias	bias	NOUN
jbi-22655	502	4	and	and	CCONJ
jbi-22655	502	5	model	model	NOUN
jbi-22655	502	6	complexity	complexity	NOUN
jbi-22655	502	7	in	in	ADP
jbi-22655	502	8	stream‐based	stream‐base	VERB
jbi-22655	502	9	species	species	NOUN
jbi-22655	502	10	distribution	distribution	NOUN
jbi-22655	502	11	models	model	NOUN
jbi-22655	502	12	:	:	PUNCT
jbi-22655	502	13	a	a	DET
jbi-22655	502	14	case	case	NOUN
jbi-22655	502	15	study	study	NOUN
jbi-22655	502	16	of	of	ADP
jbi-22655	502	17	paddlefish	paddlefish	NOUN
jbi-22655	502	18	(	(	PUNCT
jbi-22655	502	19	polyodon	polyodon	ADJ
jbi-22655	502	20	spathula	spathula	NOUN
jbi-22655	502	21	)	)	PUNCT
jbi-22655	502	22	in	in	ADP
jbi-22655	502	23	the	the	DET
jbi-22655	502	24	arkansas	arkansas	PROPN
jbi-22655	502	25	river	river	PROPN
jbi-22655	502	26	basin	basin	PROPN
jbi-22655	502	27	,	,	PUNCT
jbi-22655	502	28	usa	usa	PROPN
jbi-22655	502	29	.	.	PROPN
jbi-22655	502	30	ecol	ecol	PROPN
jbi-22655	502	31	.	.	PUNCT
jbi-22655	503	1	evol	evol	NOUN
jbi-22655	503	2	.	.	PUNCT
jbi-22655	504	1	10:705–717	10:705–717	NUM
jbi-22655	504	2	.	.	PUNCT
jbi-22655	505	1	thuiller	thuiller	PROPN
jbi-22655	505	2	,	,	PUNCT
jbi-22655	505	3	w.	w.	PROPN
jbi-22655	505	4	,	,	PUNCT
jbi-22655	505	5	l.	l.	PROPN
jbi-22655	505	6	brotons	brotons	PROPN
jbi-22655	505	7	,	,	PUNCT
jbi-22655	505	8	m.	m.	PROPN
jbi-22655	505	9	b.	b.	PROPN
jbi-22655	505	10	araújo	araújo	PROPN
jbi-22655	505	11	,	,	PUNCT
jbi-22655	505	12	and	and	CCONJ
jbi-22655	505	13	s.	s.	PROPN
jbi-22655	505	14	lavorel	lavorel	PROPN
jbi-22655	505	15	.	.	PUNCT
jbi-22655	506	1	2004	2004	NUM
jbi-22655	506	2	.	.	PUNCT
jbi-22655	507	1	effects	effect	NOUN
jbi-22655	507	2	of	of	ADP
jbi-22655	507	3	restricting	restrict	VERB
jbi-22655	507	4	environmental	environmental	ADJ
jbi-22655	507	5	range	range	NOUN
jbi-22655	507	6	of	of	ADP
jbi-22655	507	7	data	datum	NOUN
jbi-22655	507	8	to	to	PART
jbi-22655	507	9	project	project	VERB
jbi-22655	507	10	current	current	ADJ
jbi-22655	507	11	and	and	CCONJ
jbi-22655	507	12	future	future	ADJ
jbi-22655	507	13	species	species	NOUN
jbi-22655	507	14	distributions	distribution	NOUN
jbi-22655	507	15	.	.	PUNCT
jbi-22655	508	1	ecography	ecography	NOUN
jbi-22655	508	2	27:165	27:165	NUM
jbi-22655	508	3	–	–	PUNCT
jbi-22655	508	4	172	172	NUM
jbi-22655	508	5	.	.	PUNCT
jbi-22655	509	1	valavi	valavi	PROPN
jbi-22655	509	2	,	,	PUNCT
jbi-22655	509	3	r.	r.	PROPN
jbi-22655	509	4	,	,	PUNCT
jbi-22655	509	5	g.	g.	PROPN
jbi-22655	509	6	guillera‐arroita	guillera‐arroita	PROPN
jbi-22655	509	7	,	,	PUNCT
jbi-22655	509	8	j.	j.	PROPN
jbi-22655	509	9	j.	j.	PROPN
jbi-22655	509	10	lahoz‐monfort	lahoz‐monfort	PROPN
jbi-22655	509	11	,	,	PUNCT
jbi-22655	509	12	and	and	CCONJ
jbi-22655	509	13	j.	j.	PROPN
jbi-22655	509	14	elith	elith	PROPN
jbi-22655	509	15	.	.	PUNCT
jbi-22655	510	1	2022	2022	NUM
jbi-22655	510	2	.	.	PUNCT
jbi-22655	511	1	predictive	predictive	ADJ
jbi-22655	511	2	performance	performance	NOUN
jbi-22655	511	3	of	of	ADP
jbi-22655	511	4	presence‐only	presence‐only	ADV
jbi-22655	511	5	species	species	NOUN
jbi-22655	511	6	distribution	distribution	NOUN
jbi-22655	511	7	models	model	NOUN
jbi-22655	511	8	:	:	PUNCT
jbi-22655	511	9	a	a	DET
jbi-22655	511	10	benchmark	benchmark	ADJ
jbi-22655	511	11	study	study	NOUN
jbi-22655	511	12	with	with	ADP
jbi-22655	511	13	reproducible	reproducible	ADJ
jbi-22655	511	14	code	code	NOUN
jbi-22655	511	15	.	.	PUNCT
jbi-22655	512	1	ecol	ecol	PROPN
jbi-22655	512	2	.	.	PUNCT
jbi-22655	513	1	monogr	monogr	PROPN
jbi-22655	513	2	.	.	PUNCT
jbi-22655	514	1	92(1):e01486	92(1):e01486	NUM
jbi-22655	514	2	.	.	PROPN
jbi-22655	514	3	varela	varela	PROPN
jbi-22655	514	4	,	,	PUNCT
jbi-22655	514	5	s.	s.	PROPN
jbi-22655	514	6	,	,	PUNCT
jbi-22655	514	7	r.	r.	PROPN
jbi-22655	514	8	p.	p.	PROPN
jbi-22655	514	9	anderson	anderson	PROPN
jbi-22655	514	10	,	,	PUNCT
jbi-22655	514	11	r.	r.	PROPN
jbi-22655	514	12	garcía	garcía	NOUN
jbi-22655	514	13	-	-	PUNCT
jbi-22655	514	14	valdés	valdés	ADJ
jbi-22655	514	15	,	,	PUNCT
jbi-22655	514	16	and	and	CCONJ
jbi-22655	514	17	f.	f.	PROPN
jbi-22655	514	18	fernández	fernández	PROPN
jbi-22655	514	19	-	-	PUNCT
jbi-22655	514	20	gonzález	gonzález	PROPN
jbi-22655	514	21	.	.	PUNCT
jbi-22655	515	1	2014	2014	NUM
jbi-22655	515	2	.	.	PUNCT
jbi-22655	516	1	environmental	environmental	ADJ
jbi-22655	516	2	filters	filter	NOUN
jbi-22655	516	3	reduce	reduce	VERB
jbi-22655	516	4	the	the	DET
jbi-22655	516	5	effects	effect	NOUN
jbi-22655	516	6	of	of	ADP
jbi-22655	516	7	sampling	sample	VERB
jbi-22655	516	8	bias	bias	NOUN
jbi-22655	516	9	and	and	CCONJ
jbi-22655	516	10	improve	improve	VERB
jbi-22655	516	11	predictions	prediction	NOUN
jbi-22655	516	12	of	of	ADP
jbi-22655	516	13	ecological	ecological	ADJ
jbi-22655	516	14	niche	niche	NOUN
jbi-22655	516	15	models	model	NOUN
jbi-22655	516	16	.	.	PUNCT
jbi-22655	517	1	ecography	ecography	PROPN
jbi-22655	517	2	37:1084–1091	37:1084–1091	PROPN
jbi-22655	517	3	.	.	PUNCT
jbi-22655	517	4	veloz	veloz	PROPN
jbi-22655	517	5	,	,	PUNCT
jbi-22655	517	6	s.	s.	PROPN
jbi-22655	517	7	d.	d.	PROPN
jbi-22655	517	8	2009	2009	NUM
jbi-22655	517	9	.	.	PUNCT
jbi-22655	518	1	spatially	spatially	ADV
jbi-22655	518	2	autocorrelated	autocorrelated	ADJ
jbi-22655	518	3	sampling	sample	VERB
jbi-22655	518	4	falsely	falsely	ADV
jbi-22655	518	5	inflates	inflate	VERB
jbi-22655	518	6	measures	measure	NOUN
jbi-22655	518	7	of	of	ADP
jbi-22655	518	8	accuracy	accuracy	NOUN
jbi-22655	518	9	for	for	ADP
jbi-22655	518	10	presence	presence	NOUN
jbi-22655	518	11	-	-	PUNCT
jbi-22655	518	12	only	only	ADJ
jbi-22655	518	13	niche	niche	NOUN
jbi-22655	518	14	models	model	NOUN
jbi-22655	518	15	.	.	PUNCT
jbi-22655	519	1	j.	j.	PROPN
jbi-22655	519	2	biogeogr	biogeogr	PROPN
jbi-22655	519	3	.	.	PUNCT
jbi-22655	520	1	36:2290–2299	36:2290–2299	NUM
jbi-22655	520	2	.	.	NOUN
jbi-22655	520	3	vanderwal	vanderwal	PROPN
jbi-22655	520	4	,	,	PUNCT
jbi-22655	520	5	j.	j.	PROPN
jbi-22655	520	6	,	,	PUNCT
jbi-22655	520	7	l.	l.	PROPN
jbi-22655	520	8	p.	p.	PROPN
jbi-22655	520	9	shoo	shoo	PROPN
jbi-22655	520	10	,	,	PUNCT
jbi-22655	520	11	c.	c.	PROPN
jbi-22655	520	12	graham	graham	PROPN
jbi-22655	520	13	,	,	PUNCT
jbi-22655	520	14	and	and	CCONJ
jbi-22655	520	15	s.	s.	PROPN
jbi-22655	520	16	e.	e.	PROPN
jbi-22655	520	17	williams	williams	PROPN
jbi-22655	520	18	.	.	PUNCT
jbi-22655	521	1	2009	2009	NUM
jbi-22655	521	2	.	.	PUNCT
jbi-22655	522	1	selecting	select	VERB
jbi-22655	522	2	pseudo	pseudo	NOUN
jbi-22655	522	3	-	-	NOUN
jbi-22655	522	4	absence	absence	NOUN
jbi-22655	522	5	data	datum	NOUN
jbi-22655	522	6	for	for	ADP
jbi-22655	522	7	presence	presence	NOUN
jbi-22655	522	8	-	-	PUNCT
jbi-22655	522	9	only	only	ADV
jbi-22655	522	10	distribution	distribution	NOUN
jbi-22655	522	11	modeling	modeling	NOUN
jbi-22655	522	12	:	:	PUNCT
jbi-22655	522	13	how	how	SCONJ
jbi-22655	522	14	far	far	ADV
jbi-22655	522	15	should	should	AUX
jbi-22655	522	16	you	you	PRON
jbi-22655	522	17	stray	stray	VERB
jbi-22655	522	18	from	from	ADP
jbi-22655	522	19	what	what	PRON
jbi-22655	522	20	you	you	PRON
jbi-22655	522	21	know	know	VERB
jbi-22655	522	22	?	?	PUNCT
jbi-22655	523	1	ecol	ecol	NOUN
jbi-22655	523	2	.	.	PUNCT
jbi-22655	524	1	model	model	NOUN
jbi-22655	524	2	.	.	PUNCT
jbi-22655	525	1	220:589–594	220:589–594	NUM
jbi-22655	525	2	.	.	PUNCT
jbi-22655	526	1	warren	warren	PROPN
jbi-22655	526	2	,	,	PUNCT
jbi-22655	526	3	d.	d.	PROPN
jbi-22655	526	4	l.	l.	PROPN
jbi-22655	526	5	,	,	PUNCT
jbi-22655	526	6	n.	n.	PROPN
jbi-22655	526	7	j.	j.	PROPN
jbi-22655	526	8	matzke	matzke	PROPN
jbi-22655	526	9	,	,	PUNCT
jbi-22655	526	10	and	and	CCONJ
jbi-22655	526	11	t.	t.	PROPN
jbi-22655	526	12	l.	l.	PROPN
jbi-22655	526	13	iglesias	iglesias	PROPN
jbi-22655	526	14	.	.	PUNCT
jbi-22655	527	1	2020	2020	NUM
jbi-22655	527	2	.	.	PUNCT
jbi-22655	528	1	evaluating	evaluate	VERB
jbi-22655	528	2	presence‐only	presence‐only	ADV
jbi-22655	528	3	species	specie	NOUN
jbi-22655	528	4	distribution	distribution	NOUN
jbi-22655	528	5	models	model	NOUN
jbi-22655	528	6	with	with	ADP
jbi-22655	528	7	discrimination	discrimination	NOUN
jbi-22655	528	8	accuracy	accuracy	NOUN
jbi-22655	528	9	is	be	AUX
jbi-22655	528	10	uninformative	uninformative	ADJ
jbi-22655	528	11	for	for	ADP
jbi-22655	528	12	many	many	ADJ
jbi-22655	528	13	applications	application	NOUN
jbi-22655	528	14	.	.	PUNCT
jbi-22655	529	1	j.	j.	PROPN
jbi-22655	529	2	biogeogr	biogeogr	PROPN
jbi-22655	529	3	.	.	PUNCT
jbi-22655	530	1	47:167–180	47:167–180	PROPN
jbi-22655	530	2	.	.	PUNCT
jbi-22655	531	1	warren	warren	PROPN
jbi-22655	531	2	,	,	PUNCT
jbi-22655	531	3	d.	d.	PROPN
jbi-22655	531	4	l.	l.	PROPN
jbi-22655	531	5	,	,	PUNCT
jbi-22655	531	6	and	and	CCONJ
jbi-22655	531	7	s.	s.	PROPN
jbi-22655	531	8	n.	n.	PROPN
jbi-22655	531	9	seifert	seifert	PROPN
jbi-22655	531	10	.	.	PUNCT
jbi-22655	532	1	2011	2011	NUM
jbi-22655	532	2	.	.	PUNCT
jbi-22655	533	1	ecological	ecological	ADJ
jbi-22655	533	2	niche	niche	NOUN
jbi-22655	533	3	modeling	modeling	NOUN
jbi-22655	533	4	in	in	ADP
jbi-22655	533	5	maxent	maxent	NOUN
jbi-22655	533	6	:	:	PUNCT
jbi-22655	533	7	the	the	DET
jbi-22655	533	8	importance	importance	NOUN
jbi-22655	533	9	of	of	ADP
jbi-22655	533	10	model	model	NOUN
jbi-22655	533	11	complexity	complexity	NOUN
jbi-22655	533	12	and	and	CCONJ
jbi-22655	533	13	the	the	DET
jbi-22655	533	14	performance	performance	NOUN
jbi-22655	533	15	of	of	ADP
jbi-22655	533	16	model	model	NOUN
jbi-22655	533	17	selection	selection	NOUN
jbi-22655	533	18	criteria	criterion	NOUN
jbi-22655	533	19	.	.	PUNCT
jbi-22655	534	1	ecol	ecol	PROPN
jbi-22655	534	2	.	.	PUNCT
jbi-22655	535	1	appl	appl	PROPN
jbi-22655	535	2	.	.	PUNCT
jbi-22655	536	1	21:335–342	21:335–342	NUM
jbi-22655	536	2	.	.	PUNCT
jbi-22655	537	1	weaver	weaver	PROPN
jbi-22655	537	2	,	,	PUNCT
jbi-22655	537	3	k.	k.	PROPN
jbi-22655	537	4	f.	f.	PROPN
jbi-22655	537	5	,	,	PUNCT
jbi-22655	537	6	t.	t.	PROPN
jbi-22655	537	7	anderson	anderson	PROPN
jbi-22655	537	8	,	,	PUNCT
jbi-22655	537	9	and	and	CCONJ
jbi-22655	537	10	r.	r.	PROPN
jbi-22655	537	11	guralnick	guralnick	PROPN
jbi-22655	537	12	.	.	PUNCT
jbi-22655	538	1	2006	2006	NUM
jbi-22655	538	2	.	.	PUNCT
jbi-22655	539	1	combining	combine	VERB
jbi-22655	539	2	phylogenetic	phylogenetic	ADJ
jbi-22655	539	3	and	and	CCONJ
jbi-22655	539	4	ecological	ecological	ADJ
jbi-22655	539	5	niche	niche	NOUN
jbi-22655	539	6	modeling	modeling	NOUN
jbi-22655	539	7	approaches	approach	NOUN
jbi-22655	539	8	to	to	PART
jbi-22655	539	9	determine	determine	VERB
jbi-22655	539	10	distribution	distribution	NOUN
jbi-22655	539	11	and	and	CCONJ
jbi-22655	539	12	historical	historical	ADJ
jbi-22655	539	13	biogeography	biogeography	NOUN
jbi-22655	539	14	of	of	ADP
jbi-22655	539	15	black	black	ADJ
jbi-22655	539	16	hills	hill	NOUN
jbi-22655	539	17	mountain	mountain	NOUN
jbi-22655	539	18	snails	snail	NOUN
jbi-22655	539	19	(	(	PUNCT
jbi-22655	539	20	oreohelicidae	oreohelicidae	NOUN
jbi-22655	539	21	)	)	PUNCT
jbi-22655	539	22	.	.	PUNCT
jbi-22655	540	1	divers	diver	NOUN
jbi-22655	540	2	.	.	PUNCT
jbi-22655	541	1	distrib	distrib	PROPN
jbi-22655	541	2	.	.	PUNCT
jbi-22655	542	1	12:756–766	12:756–766	NUM
jbi-22655	542	2	.	.	PUNCT
jbi-22655	543	1	luna	luna	PROPN
jbi-22655	543	2	et	et	PROPN
jbi-22655	543	3	al	al	PROPN
jbi-22655	543	4	.	.	PROPN
jbi-22655	543	5	–	–	PUNCT
jbi-22655	543	6	species	species	NOUN
jbi-22655	543	7	distribution	distribution	NOUN
jbi-22655	543	8	model	model	NOUN
jbi-22655	543	9	accuracy	accuracy	NOUN
jbi-22655	543	10	influenced	influence	VERB
jbi-22655	543	11	by	by	ADP
jbi-22655	543	12	calibration	calibration	NOUN
jbi-22655	543	13	area	area	NOUN
jbi-22655	543	14	55	55	NUM
jbi-22655	543	15	white	white	ADJ
jbi-22655	543	16	,	,	PUNCT
jbi-22655	543	17	j.	j.	PROPN
jbi-22655	543	18	w.	w.	PROPN
jbi-22655	543	19	,	,	PUNCT
jbi-22655	543	20	a.	a.	NOUN
jbi-22655	543	21	rassweiler	rassweiler	NOUN
jbi-22655	543	22	,	,	PUNCT
jbi-22655	543	23	j.	j.	PROPN
jbi-22655	543	24	f.	f.	PROPN
jbi-22655	543	25	samhouri	samhouri	PROPN
jbi-22655	543	26	,	,	PUNCT
jbi-22655	543	27	a.	a.	PROPN
jbi-22655	543	28	c.	c.	PROPN
jbi-22655	543	29	stier	stier	PROPN
jbi-22655	543	30	,	,	PUNCT
jbi-22655	543	31	and	and	CCONJ
jbi-22655	543	32	c.	c.	PROPN
jbi-22655	543	33	white	white	PROPN
jbi-22655	543	34	.	.	PUNCT
jbi-22655	544	1	2014	2014	NUM
jbi-22655	544	2	.	.	PUNCT
jbi-22655	545	1	ecologists	ecologist	NOUN
jbi-22655	545	2	should	should	AUX
jbi-22655	545	3	not	not	PART
jbi-22655	545	4	use	use	VERB
jbi-22655	545	5	statistical	statistical	ADJ
jbi-22655	545	6	significance	significance	NOUN
jbi-22655	545	7	tests	test	NOUN
jbi-22655	545	8	to	to	PART
jbi-22655	545	9	interpret	interpret	VERB
jbi-22655	545	10	simulation	simulation	NOUN
jbi-22655	545	11	model	model	NOUN
jbi-22655	545	12	results	result	NOUN
jbi-22655	545	13	.	.	PUNCT
jbi-22655	546	1	oikos	oikos	NOUN
jbi-22655	546	2	123:385–388	123:385–388	NUM
jbi-22655	546	3	.	.	PUNCT
jbi-22655	547	1	wildlife	wildlife	NOUN
jbi-22655	547	2	conservation	conservation	NOUN
jbi-22655	547	3	society	society	NOUN
jbi-22655	547	4	,	,	PUNCT
jbi-22655	547	5	and	and	CCONJ
jbi-22655	547	6	center	center	NOUN
jbi-22655	547	7	for	for	ADP
jbi-22655	547	8	international	international	ADJ
jbi-22655	547	9	earth	earth	NOUN
jbi-22655	547	10	science	science	NOUN
jbi-22655	547	11	information	information	NOUN
jbi-22655	547	12	network	network	NOUN
jbi-22655	547	13	.	.	PUNCT
jbi-22655	548	1	2005	2005	NUM
jbi-22655	548	2	.	.	PUNCT
jbi-22655	549	1	last	last	ADJ
jbi-22655	549	2	of	of	ADP
jbi-22655	549	3	the	the	DET
jbi-22655	549	4	wild	wild	ADJ
jbi-22655	549	5	project	project	NOUN
jbi-22655	549	6	,	,	PUNCT
jbi-22655	549	7	version	version	NOUN
jbi-22655	549	8	2	2	NUM
jbi-22655	549	9	,	,	PUNCT
jbi-22655	549	10	2005	2005	NUM
jbi-22655	549	11	(	(	PUNCT
jbi-22655	549	12	lwp-2	lwp-2	NUM
jbi-22655	549	13	):	):	PUNCT
jbi-22655	549	14	global	global	ADJ
jbi-22655	549	15	human	human	PROPN
jbi-22655	549	16	influence	influence	NOUN
jbi-22655	549	17	index	index	NOUN
jbi-22655	549	18	(	(	PUNCT
jbi-22655	549	19	hii	hii	PROPN
jbi-22655	549	20	)	)	PUNCT
jbi-22655	549	21	dataset	dataset	NOUN
jbi-22655	549	22	(	(	PUNCT
jbi-22655	549	23	geographic	geographic	ADJ
jbi-22655	549	24	)	)	PUNCT
jbi-22655	549	25	.	.	PUNCT
jbi-22655	550	1	palisades	palisade	NOUN
jbi-22655	550	2	,	,	PUNCT
jbi-22655	550	3	new	new	PROPN
jbi-22655	550	4	york	york	PROPN
jbi-22655	550	5	:	:	PUNCT
jbi-22655	550	6	nasa	nasa	PROPN
jbi-22655	550	7	socioeconomic	socioeconomic	ADJ
jbi-22655	550	8	data	datum	NOUN
jbi-22655	550	9	and	and	CCONJ
jbi-22655	550	10	applications	application	NOUN
jbi-22655	550	11	center	center	NOUN
jbi-22655	550	12	(	(	PUNCT
jbi-22655	550	13	sedac	sedac	PROPN
jbi-22655	550	14	)	)	PUNCT
jbi-22655	550	15	.	.	PUNCT
jbi-22655	551	1	zhu	zhu	PROPN
jbi-22655	551	2	,	,	PUNCT
jbi-22655	551	3	g.-p	g.-p	PROPN
jbi-22655	551	4	.	.	PUNCT
jbi-22655	551	5	,	,	PUNCT
jbi-22655	551	6	d.	d.	PROPN
jbi-22655	551	7	rédei	rédei	PROPN
jbi-22655	551	8	,	,	PUNCT
jbi-22655	551	9	p.	p.	PROPN
jbi-22655	551	10	kment	kment	PROPN
jbi-22655	551	11	,	,	PUNCT
jbi-22655	551	12	and	and	CCONJ
jbi-22655	551	13	w.-j	w.-j	PROPN
jbi-22655	551	14	.	.	PUNCT
jbi-22655	552	1	bu	bu	PROPN
jbi-22655	552	2	.	.	PROPN
jbi-22655	552	3	2014	2014	NUM
jbi-22655	552	4	.	.	PUNCT
jbi-22655	553	1	effect	effect	NOUN
jbi-22655	553	2	of	of	ADP
jbi-22655	553	3	geographic	geographic	ADJ
jbi-22655	553	4	background	background	NOUN
jbi-22655	553	5	and	and	CCONJ
jbi-22655	553	6	equilibrium	equilibrium	NOUN
jbi-22655	553	7	state	state	NOUN
jbi-22655	553	8	on	on	ADP
jbi-22655	553	9	niche	niche	NOUN
jbi-22655	553	10	model	model	NOUN
jbi-22655	553	11	transferability	transferability	NOUN
jbi-22655	553	12	:	:	PUNCT
jbi-22655	553	13	predicting	predict	VERB
jbi-22655	553	14	areas	area	NOUN
jbi-22655	553	15	of	of	ADP
jbi-22655	553	16	invasion	invasion	NOUN
jbi-22655	553	17	of	of	ADP
jbi-22655	553	18	leptoglossus	leptoglossus	NOUN
jbi-22655	553	19	occidentalis	occidentalis	NOUN
jbi-22655	553	20	.	.	PUNCT
jbi-22655	554	1	biol	biol	PROPN
jbi-22655	554	2	.	.	PUNCT
jbi-22655	555	1	invasions	invasion	NOUN
jbi-22655	555	2	16:1069–1081	16:1069–1081	NUM
jbi-22655	555	3	.	.	PUNCT