id	sid	tid	token	lemma	pos
jbi-21742	1	1	biodiversity	biodiversity	NOUN
jbi-21742	1	2	informatics	informatic	NOUN
jbi-21742	1	3	,	,	PUNCT
jbi-21742	1	4	18	18	NUM
jbi-21742	1	5	,	,	PUNCT
jbi-21742	1	6	2024	2024	NUM
jbi-21742	1	7	,	,	PUNCT
jbi-21742	1	8	pp	pp	ADV
jbi-21742	1	9	.	.	PUNCT
jbi-21742	2	1	28	28	NUM
jbi-21742	2	2	-	-	SYM
jbi-21742	2	3	42	42	NUM
jbi-21742	2	4	28	28	NUM
jbi-21742	2	5	enmpa	enmpa	NOUN
jbi-21742	2	6	:	:	PUNCT
jbi-21742	2	7	an	an	DET
jbi-21742	2	8	r	r	NOUN
jbi-21742	2	9	package	package	NOUN
jbi-21742	2	10	for	for	ADP
jbi-21742	2	11	ecological	ecological	ADJ
jbi-21742	2	12	niche	niche	NOUN
jbi-21742	2	13	modeling	modeling	NOUN
jbi-21742	2	14	using	use	VERB
jbi-21742	2	15	presence	presence	NOUN
jbi-21742	2	16	-	-	PUNCT
jbi-21742	2	17	absence	absence	NOUN
jbi-21742	2	18	data	datum	NOUN
jbi-21742	2	19	and	and	CCONJ
jbi-21742	2	20	generalized	generalized	ADJ
jbi-21742	2	21	linear	linear	NOUN
jbi-21742	2	22	models	model	NOUN
jbi-21742	2	23	luis	luis	PROPN
jbi-21742	2	24	f.	f.	PROPN
jbi-21742	2	25	arias	arias	PROPN
jbi-21742	2	26	-	-	PUNCT
jbi-21742	2	27	giraldo1,2	giraldo1,2	PROPN
jbi-21742	2	28	,	,	PUNCT
jbi-21742	2	29	*	*	PROPN
jbi-21742	2	30	,	,	PUNCT
jbi-21742	2	31	marlon	marlon	PROPN
jbi-21742	2	32	e.	e.	PROPN
jbi-21742	2	33	cobos3	cobos3	PROPN
jbi-21742	2	34	¹institute	¹institute	PROPN
jbi-21742	2	35	for	for	ADP
jbi-21742	2	36	sustainable	sustainable	ADJ
jbi-21742	2	37	agriculture	agriculture	NOUN
jbi-21742	2	38	,	,	PUNCT
jbi-21742	2	39	spanish	spanish	ADJ
jbi-21742	2	40	national	national	PROPN
jbi-21742	2	41	research	research	PROPN
jbi-21742	2	42	council	council	PROPN
jbi-21742	2	43	(	(	PUNCT
jbi-21742	2	44	csic	csic	PROPN
jbi-21742	2	45	)	)	PUNCT
jbi-21742	2	46	,	,	PUNCT
jbi-21742	2	47	córdoba	córdoba	PROPN
jbi-21742	2	48	,	,	PUNCT
jbi-21742	2	49	spain	spain	PROPN
jbi-21742	2	50	.	.	PROPN
jbi-21742	2	51	2	2	NUM
jbi-21742	2	52	programa	programa	NOUN
jbi-21742	2	53	de	de	PROPN
jbi-21742	2	54	doctorado	doctorado	PROPN
jbi-21742	2	55	ingeniería	ingeniería	PROPN
jbi-21742	2	56	agraria	agraria	PROPN
jbi-21742	2	57	,	,	PUNCT
jbi-21742	2	58	alimentaria	alimentaria	PROPN
jbi-21742	2	59	,	,	PUNCT
jbi-21742	2	60	forestal	forestal	PROPN
jbi-21742	2	61	y	y	PROPN
jbi-21742	2	62	de	de	PROPN
jbi-21742	2	63	desarrollo	desarrollo	PROPN
jbi-21742	2	64	rural	rural	ADJ
jbi-21742	2	65	sostenible	sostenible	PROPN
jbi-21742	2	66	.	.	PUNCT
jbi-21742	3	1	university	university	PROPN
jbi-21742	3	2	of	of	ADP
jbi-21742	3	3	córdoba	córdoba	PROPN
jbi-21742	3	4	,	,	PUNCT
jbi-21742	3	5	córdoba	córdoba	PROPN
jbi-21742	3	6	,	,	PUNCT
jbi-21742	3	7	spain	spain	PROPN
jbi-21742	3	8	.	.	PUNCT
jbi-21742	4	1	3department	3department	NUM
jbi-21742	4	2	of	of	ADP
jbi-21742	4	3	ecology	ecology	NOUN
jbi-21742	4	4	and	and	CCONJ
jbi-21742	4	5	evolutionary	evolutionary	ADJ
jbi-21742	4	6	biology	biology	NOUN
jbi-21742	4	7	&	&	CCONJ
jbi-21742	4	8	biodiversity	biodiversity	PROPN
jbi-21742	4	9	institute	institute	PROPN
jbi-21742	4	10	,	,	PUNCT
jbi-21742	4	11	university	university	PROPN
jbi-21742	4	12	of	of	ADP
jbi-21742	4	13	kansas	kansas	PROPN
jbi-21742	4	14	,	,	PUNCT
jbi-21742	4	15	lawrence	lawrence	PROPN
jbi-21742	4	16	,	,	PUNCT
jbi-21742	4	17	ks	ks	PROPN
jbi-21742	4	18	,	,	PUNCT
jbi-21742	4	19	united	united	PROPN
jbi-21742	4	20	states	states	PROPN
jbi-21742	4	21	of	of	ADP
jbi-21742	4	22	america	america	PROPN
jbi-21742	4	23	.	.	PUNCT
jbi-21742	5	1	the	the	DET
jbi-21742	5	2	authors	author	NOUN
jbi-21742	5	3	contributed	contribute	VERB
jbi-21742	5	4	equally	equally	ADV
jbi-21742	5	5	to	to	ADP
jbi-21742	5	6	this	this	DET
jbi-21742	5	7	work	work	NOUN
jbi-21742	5	8	*	*	PUNCT
jbi-21742	5	9	corresponding	correspond	VERB
jbi-21742	5	10	author	author	NOUN
jbi-21742	5	11	:	:	PUNCT
jbi-21742	5	12	luis	luis	PROPN
jbi-21742	5	13	f.	f.	PROPN
jbi-21742	5	14	arias	arias	PROPN
jbi-21742	5	15	-	-	PUNCT
jbi-21742	5	16	giraldo	giraldo	PROPN
jbi-21742	5	17	e	e	NOUN
jbi-21742	5	18	-	-	NOUN
jbi-21742	5	19	mail	mail	NOUN
jbi-21742	5	20	:	:	PUNCT
jbi-21742	5	21	lfarias.giraldo@gmail.com	lfarias.giraldo@gmail.com	X
jbi-21742	5	22	abstract	abstract	ADJ
jbi-21742	5	23	.	.	PUNCT
jbi-21742	6	1	here	here	ADV
jbi-21742	6	2	,	,	PUNCT
jbi-21742	6	3	we	we	PRON
jbi-21742	6	4	present	present	VERB
jbi-21742	6	5	the	the	DET
jbi-21742	6	6	new	new	ADJ
jbi-21742	6	7	r	r	NOUN
jbi-21742	6	8	package	package	NOUN
jbi-21742	6	9	“	"	PUNCT
jbi-21742	6	10	enmpa	enmpa	NOUN
jbi-21742	6	11	,	,	PUNCT
jbi-21742	6	12	”	"	PUNCT
jbi-21742	6	13	which	which	PRON
jbi-21742	6	14	includes	include	VERB
jbi-21742	6	15	a	a	DET
jbi-21742	6	16	range	range	NOUN
jbi-21742	6	17	of	of	ADP
jbi-21742	6	18	tools	tool	NOUN
jbi-21742	6	19	for	for	ADP
jbi-21742	6	20	modeling	model	VERB
jbi-21742	6	21	ecological	ecological	ADJ
jbi-21742	6	22	niches	niche	NOUN
jbi-21742	6	23	using	use	VERB
jbi-21742	6	24	presence	presence	NOUN
jbi-21742	6	25	-	-	PUNCT
jbi-21742	6	26	absence	absence	NOUN
jbi-21742	6	27	data	datum	NOUN
jbi-21742	6	28	via	via	ADP
jbi-21742	6	29	logistic	logistic	ADJ
jbi-21742	6	30	generalized	generalize	VERB
jbi-21742	6	31	linear	linear	NOUN
jbi-21742	6	32	models	model	NOUN
jbi-21742	6	33	.	.	PUNCT
jbi-21742	7	1	the	the	DET
jbi-21742	7	2	package	package	NOUN
jbi-21742	7	3	allows	allow	VERB
jbi-21742	7	4	users	user	NOUN
jbi-21742	7	5	to	to	PART
jbi-21742	7	6	calibrate	calibrate	VERB
jbi-21742	7	7	,	,	PUNCT
jbi-21742	7	8	select	select	ADJ
jbi-21742	7	9	,	,	PUNCT
jbi-21742	7	10	project	project	NOUN
jbi-21742	7	11	,	,	PUNCT
jbi-21742	7	12	and	and	CCONJ
jbi-21742	7	13	evaluate	evaluate	VERB
jbi-21742	7	14	models	model	NOUN
jbi-21742	7	15	using	use	VERB
jbi-21742	7	16	independent	independent	ADJ
jbi-21742	7	17	data	datum	NOUN
jbi-21742	7	18	.	.	PUNCT
jbi-21742	8	1	we	we	PRON
jbi-21742	8	2	have	have	AUX
jbi-21742	8	3	emphasized	emphasize	VERB
jbi-21742	8	4	a	a	DET
jbi-21742	8	5	comprehensive	comprehensive	ADJ
jbi-21742	8	6	search	search	NOUN
jbi-21742	8	7	for	for	ADP
jbi-21742	8	8	ideal	ideal	ADJ
jbi-21742	8	9	predictor	predictor	NOUN
jbi-21742	8	10	combinations	combination	NOUN
jbi-21742	8	11	,	,	PUNCT
jbi-21742	8	12	including	include	VERB
jbi-21742	8	13	linear	linear	ADJ
jbi-21742	8	14	,	,	PUNCT
jbi-21742	8	15	quadratic	quadratic	ADJ
jbi-21742	8	16	,	,	PUNCT
jbi-21742	8	17	and	and	CCONJ
jbi-21742	8	18	two	two	NUM
jbi-21742	8	19	-	-	PUNCT
jbi-21742	8	20	way	way	NOUN
jbi-21742	8	21	interaction	interaction	NOUN
jbi-21742	8	22	responses	response	NOUN
jbi-21742	8	23	,	,	PUNCT
jbi-21742	8	24	to	to	PART
jbi-21742	8	25	provide	provide	VERB
jbi-21742	8	26	more	more	ADV
jbi-21742	8	27	detailed	detailed	ADJ
jbi-21742	8	28	and	and	CCONJ
jbi-21742	8	29	robust	robust	ADJ
jbi-21742	8	30	model	model	NOUN
jbi-21742	8	31	calibration	calibration	NOUN
jbi-21742	8	32	processes	process	NOUN
jbi-21742	8	33	.	.	PUNCT
jbi-21742	9	1	we	we	PRON
jbi-21742	9	2	demonstrate	demonstrate	VERB
jbi-21742	9	3	the	the	DET
jbi-21742	9	4	use	use	NOUN
jbi-21742	9	5	of	of	ADP
jbi-21742	9	6	the	the	DET
jbi-21742	9	7	package	package	NOUN
jbi-21742	9	8	with	with	ADP
jbi-21742	9	9	an	an	DET
jbi-21742	9	10	example	example	NOUN
jbi-21742	9	11	of	of	ADP
jbi-21742	9	12	a	a	DET
jbi-21742	9	13	simulated	simulated	ADJ
jbi-21742	9	14	pathogen	pathogen	NOUN
jbi-21742	9	15	and	and	CCONJ
jbi-21742	9	16	its	its	PRON
jbi-21742	9	17	niche	niche	NOUN
jbi-21742	9	18	.	.	PUNCT
jbi-21742	10	1	since	since	SCONJ
jbi-21742	10	2	enmpa	enmpa	NOUN
jbi-21742	10	3	is	be	AUX
jbi-21742	10	4	designed	design	VERB
jbi-21742	10	5	specifically	specifically	ADV
jbi-21742	10	6	to	to	PART
jbi-21742	10	7	work	work	VERB
jbi-21742	10	8	with	with	ADP
jbi-21742	10	9	presence	presence	NOUN
jbi-21742	10	10	-	-	PUNCT
jbi-21742	10	11	absence	absence	NOUN
jbi-21742	10	12	data	datum	NOUN
jbi-21742	10	13	,	,	PUNCT
jbi-21742	10	14	our	our	PRON
jbi-21742	10	15	tools	tool	NOUN
jbi-21742	10	16	are	be	AUX
jbi-21742	10	17	particularly	particularly	ADV
jbi-21742	10	18	useful	useful	ADJ
jbi-21742	10	19	for	for	ADP
jbi-21742	10	20	studies	study	NOUN
jbi-21742	10	21	with	with	ADP
jbi-21742	10	22	data	datum	NOUN
jbi-21742	10	23	derived	derive	VERB
jbi-21742	10	24	from	from	ADP
jbi-21742	10	25	a	a	DET
jbi-21742	10	26	detection	detection	NOUN
jbi-21742	10	27	or	or	CCONJ
jbi-21742	10	28	non	non	ADJ
jbi-21742	10	29	-	-	ADJ
jbi-21742	10	30	detection	detection	ADJ
jbi-21742	10	31	sampling	sample	VERB
jbi-21742	10	32	universe	universe	NOUN
jbi-21742	10	33	,	,	PUNCT
jbi-21742	10	34	such	such	ADJ
jbi-21742	10	35	as	as	ADP
jbi-21742	10	36	pathogen	pathogen	NOUN
jbi-21742	10	37	testing	testing	NOUN
jbi-21742	10	38	results	result	NOUN
jbi-21742	10	39	.	.	PUNCT
jbi-21742	11	1	enmpa	enmpa	NOUN
jbi-21742	11	2	can	can	AUX
jbi-21742	11	3	be	be	AUX
jbi-21742	11	4	downloaded	download	VERB
jbi-21742	11	5	from	from	ADP
jbi-21742	11	6	cran	cran	PROPN
jbi-21742	11	7	,	,	PUNCT
jbi-21742	11	8	and	and	CCONJ
jbi-21742	11	9	the	the	DET
jbi-21742	11	10	source	source	NOUN
jbi-21742	11	11	code	code	NOUN
jbi-21742	11	12	is	be	AUX
jbi-21742	11	13	freely	freely	ADV
jbi-21742	11	14	available	available	ADJ
jbi-21742	11	15	on	on	ADP
jbi-21742	11	16	github	github	PROPN
jbi-21742	11	17	.	.	PUNCT
jbi-21742	12	1	key	key	ADJ
jbi-21742	12	2	words	word	NOUN
jbi-21742	12	3	:	:	PUNCT
jbi-21742	12	4	ecological	ecological	ADJ
jbi-21742	12	5	niche	niche	NOUN
jbi-21742	12	6	modeling	modeling	NOUN
jbi-21742	12	7	,	,	PUNCT
jbi-21742	12	8	general	general	ADJ
jbi-21742	12	9	linear	linear	NOUN
jbi-21742	12	10	models	model	NOUN
jbi-21742	12	11	,	,	PUNCT
jbi-21742	12	12	open	open	ADJ
jbi-21742	12	13	-	-	PUNCT
jbi-21742	12	14	source	source	NOUN
jbi-21742	12	15	software	software	NOUN
jbi-21742	12	16	,	,	PUNCT
jbi-21742	12	17	model	model	NOUN
jbi-21742	12	18	calibration	calibration	NOUN
jbi-21742	12	19	,	,	PUNCT
jbi-21742	12	20	model	model	NOUN
jbi-21742	12	21	selection	selection	NOUN
jbi-21742	12	22	,	,	PUNCT
jbi-21742	12	23	model	model	NOUN
jbi-21742	12	24	projections	projection	NOUN
jbi-21742	12	25	.	.	PUNCT
jbi-21742	13	1	introduction	introduction	NOUN
jbi-21742	13	2	ecological	ecological	ADJ
jbi-21742	13	3	niche	niche	NOUN
jbi-21742	13	4	modeling	modeling	NOUN
jbi-21742	13	5	(	(	PUNCT
jbi-21742	13	6	enm	enm	PROPN
jbi-21742	13	7	)	)	PUNCT
jbi-21742	13	8	,	,	PUNCT
jbi-21742	13	9	often	often	ADV
jbi-21742	13	10	also	also	ADV
jbi-21742	13	11	referred	refer	VERB
jbi-21742	13	12	to	to	ADP
jbi-21742	13	13	as	as	ADP
jbi-21742	13	14	species	species	NOUN
jbi-21742	13	15	distribution	distribution	NOUN
jbi-21742	13	16	modeling	modeling	NOUN
jbi-21742	13	17	(	(	PUNCT
jbi-21742	13	18	sdm	sdm	PROPN
jbi-21742	13	19	)	)	PUNCT
jbi-21742	13	20	,	,	PUNCT
jbi-21742	13	21	constitutes	constitute	VERB
jbi-21742	13	22	a	a	DET
jbi-21742	13	23	range	range	NOUN
jbi-21742	13	24	of	of	ADP
jbi-21742	13	25	analytical	analytical	ADJ
jbi-21742	13	26	methods	method	NOUN
jbi-21742	13	27	employed	employ	VERB
jbi-21742	13	28	extensively	extensively	ADV
jbi-21742	13	29	in	in	ADP
jbi-21742	13	30	ecological	ecological	ADJ
jbi-21742	13	31	research	research	NOUN
jbi-21742	13	32	(	(	PUNCT
jbi-21742	13	33	guisan	guisan	NOUN
jbi-21742	13	34	and	and	CCONJ
jbi-21742	13	35	zimmermann	zimmermann	PROPN
jbi-21742	13	36	2000	2000	NUM
jbi-21742	13	37	;	;	PUNCT
jbi-21742	13	38	franklin	franklin	PROPN
jbi-21742	13	39	2010	2010	NUM
jbi-21742	13	40	;	;	PUNCT
jbi-21742	13	41	peterson	peterson	PROPN
jbi-21742	13	42	et	et	PROPN
jbi-21742	13	43	al	al	PROPN
jbi-21742	13	44	.	.	PROPN
jbi-21742	13	45	2011	2011	NUM
jbi-21742	13	46	)	)	PUNCT
jbi-21742	13	47	.	.	PUNCT
jbi-21742	14	1	these	these	DET
jbi-21742	14	2	methods	method	NOUN
jbi-21742	14	3	have	have	AUX
jbi-21742	14	4	been	be	AUX
jbi-21742	14	5	proven	prove	VERB
jbi-21742	14	6	particularly	particularly	ADV
jbi-21742	14	7	useful	useful	ADJ
jbi-21742	14	8	in	in	ADP
jbi-21742	14	9	characterizing	characterize	VERB
jbi-21742	14	10	and	and	CCONJ
jbi-21742	14	11	predicting	predict	VERB
jbi-21742	14	12	grinnellian	grinnellian	PROPN
jbi-21742	14	13	(	(	PUNCT
jbi-21742	14	14	abiotic	abiotic	ADJ
jbi-21742	14	15	or	or	CCONJ
jbi-21742	14	16	non	non	ADJ
jbi-21742	14	17	-	-	ADJ
jbi-21742	14	18	interactive	interactive	ADJ
jbi-21742	14	19	)	)	PUNCT
jbi-21742	14	20	ecological	ecological	ADJ
jbi-21742	14	21	niches	niche	NOUN
jbi-21742	14	22	of	of	ADP
jbi-21742	14	23	species	specie	NOUN
jbi-21742	14	24	.	.	PUNCT
jbi-21742	15	1	applications	application	NOUN
jbi-21742	15	2	of	of	ADP
jbi-21742	15	3	these	these	DET
jbi-21742	15	4	methods	method	NOUN
jbi-21742	15	5	span	span	VERB
jbi-21742	15	6	various	various	ADJ
jbi-21742	15	7	fields	field	NOUN
jbi-21742	15	8	,	,	PUNCT
jbi-21742	15	9	including	include	VERB
jbi-21742	15	10	conservation	conservation	NOUN
jbi-21742	15	11	planning	planning	NOUN
jbi-21742	15	12	(	(	PUNCT
jbi-21742	15	13	franklin	franklin	PROPN
jbi-21742	15	14	2013	2013	NUM
jbi-21742	15	15	;	;	PUNCT
jbi-21742	15	16	hannah	hannah	PROPN
jbi-21742	15	17	et	et	PROPN
jbi-21742	15	18	al	al	PROPN
jbi-21742	15	19	.	.	PROPN
jbi-21742	15	20	2020	2020	NUM
jbi-21742	15	21	)	)	PUNCT
jbi-21742	15	22	,	,	PUNCT
jbi-21742	15	23	climate	climate	NOUN
jbi-21742	15	24	change	change	NOUN
jbi-21742	15	25	impact	impact	NOUN
jbi-21742	15	26	assessment	assessment	NOUN
jbi-21742	15	27	(	(	PUNCT
jbi-21742	15	28	searcy	searcy	NOUN
jbi-21742	15	29	and	and	CCONJ
jbi-21742	15	30	shaffer	shaffer	PROPN
jbi-21742	15	31	2016	2016	NUM
jbi-21742	15	32	;	;	PUNCT
jbi-21742	15	33	blowes	blowe	NOUN
jbi-21742	15	34	et	et	NOUN
jbi-21742	15	35	al	al	PROPN
jbi-21742	15	36	.	.	PROPN
jbi-21742	15	37	2019	2019	NUM
jbi-21742	15	38	)	)	PUNCT
jbi-21742	15	39	,	,	PUNCT
jbi-21742	15	40	potential	potential	ADJ
jbi-21742	15	41	biological	biological	ADJ
jbi-21742	15	42	invasions	invasion	NOUN
jbi-21742	15	43	(	(	PUNCT
jbi-21742	15	44	jiménezvalverde	jiménezvalverde	PROPN
jbi-21742	15	45	et	et	PROPN
jbi-21742	15	46	al	al	PROPN
jbi-21742	15	47	.	.	PROPN
jbi-21742	15	48	2011	2011	NUM
jbi-21742	15	49	;	;	PUNCT
jbi-21742	15	50	park	park	NOUN
jbi-21742	15	51	and	and	CCONJ
jbi-21742	15	52	potter	potter	NOUN
jbi-21742	15	53	2015	2015	NUM
jbi-21742	15	54	;	;	PUNCT
jbi-21742	15	55	cordier	cordier	NOUN
jbi-21742	15	56	et	et	PROPN
jbi-21742	15	57	al	al	PROPN
jbi-21742	15	58	.	.	PROPN
jbi-21742	15	59	2020	2020	NUM
jbi-21742	15	60	)	)	PUNCT
jbi-21742	15	61	,	,	PUNCT
jbi-21742	15	62	and	and	CCONJ
jbi-21742	15	63	disease	disease	NOUN
jbi-21742	15	64	risk	risk	NOUN
jbi-21742	15	65	mapping	mapping	NOUN
jbi-21742	15	66	(	(	PUNCT
jbi-21742	15	67	peterson	peterson	NOUN
jbi-21742	15	68	2014	2014	NUM
jbi-21742	15	69	)	)	PUNCT
jbi-21742	15	70	.	.	PUNCT
jbi-21742	16	1	several	several	ADJ
jbi-21742	16	2	modeling	modeling	NOUN
jbi-21742	16	3	methods	method	NOUN
jbi-21742	16	4	are	be	AUX
jbi-21742	16	5	available	available	ADJ
jbi-21742	16	6	within	within	ADP
jbi-21742	16	7	the	the	DET
jbi-21742	16	8	enm	enm	NOUN
jbi-21742	16	9	framework	framework	NOUN
jbi-21742	16	10	,	,	PUNCT
jbi-21742	16	11	which	which	PRON
jbi-21742	16	12	can	can	AUX
jbi-21742	16	13	be	be	AUX
jbi-21742	16	14	classified	classify	VERB
jbi-21742	16	15	by	by	ADP
jbi-21742	16	16	the	the	DET
jbi-21742	16	17	types	type	NOUN
jbi-21742	16	18	of	of	ADP
jbi-21742	16	19	data	datum	NOUN
jbi-21742	16	20	that	that	PRON
jbi-21742	16	21	they	they	PRON
jbi-21742	16	22	use	use	VERB
jbi-21742	16	23	:	:	PUNCT
jbi-21742	16	24	presence	presence	NOUN
jbi-21742	16	25	-	-	PUNCT
jbi-21742	16	26	only	only	ADV
jbi-21742	16	27	,	,	PUNCT
jbi-21742	16	28	presence	presence	NOUN
jbi-21742	16	29	and	and	CCONJ
jbi-21742	16	30	background	background	NOUN
jbi-21742	16	31	(	(	PUNCT
jbi-21742	16	32	or	or	CCONJ
jbi-21742	16	33	“	"	PUNCT
jbi-21742	16	34	pseudoabsence	pseudoabsence	NOUN
jbi-21742	16	35	”	"	PUNCT
jbi-21742	16	36	)	)	PUNCT
jbi-21742	16	37	,	,	PUNCT
jbi-21742	16	38	and	and	CCONJ
jbi-21742	16	39	presenceabsence	presenceabsence	NOUN
jbi-21742	16	40	data	datum	NOUN
jbi-21742	16	41	(	(	PUNCT
jbi-21742	16	42	elith	elith	ADP
jbi-21742	16	43	et	et	PROPN
jbi-21742	16	44	al	al	PROPN
jbi-21742	16	45	.	.	PROPN
jbi-21742	16	46	2006	2006	NUM
jbi-21742	16	47	;	;	PUNCT
jbi-21742	16	48	peterson	peterson	PROPN
jbi-21742	16	49	et	et	PROPN
jbi-21742	16	50	al	al	PROPN
jbi-21742	16	51	.	.	PROPN
jbi-21742	16	52	2011	2011	NUM
jbi-21742	16	53	)	)	PUNCT
jbi-21742	16	54	.	.	PUNCT
jbi-21742	17	1	more	more	ADV
jbi-21742	17	2	generally	generally	ADV
jbi-21742	17	3	,	,	PUNCT
jbi-21742	17	4	methods	method	NOUN
jbi-21742	17	5	for	for	ADP
jbi-21742	17	6	enm	enm	PROPN
jbi-21742	17	7	fall	fall	VERB
jbi-21742	17	8	into	into	ADP
jbi-21742	17	9	three	three	NUM
jbi-21742	17	10	broad	broad	ADJ
jbi-21742	17	11	categories	category	NOUN
jbi-21742	17	12	:	:	PUNCT
jbi-21742	17	13	‘	'	PUNCT
jbi-21742	17	14	profile	profile	ADJ
jbi-21742	17	15	,	,	PUNCT
jbi-21742	17	16	’	'	PUNCT
jbi-21742	17	17	‘	'	PUNCT
jbi-21742	17	18	regression	regression	NOUN
jbi-21742	17	19	,	,	PUNCT
jbi-21742	17	20	’	'	PUNCT
jbi-21742	17	21	or	or	CCONJ
jbi-21742	17	22	‘	'	PUNCT
jbi-21742	17	23	machinelearning	machinelearning	NOUN
jbi-21742	17	24	.	.	PUNCT
jbi-21742	17	25	’	'	PUNCT
jbi-21742	18	1	profile	profile	NOUN
jbi-21742	18	2	methods	method	NOUN
jbi-21742	18	3	consider	consider	VERB
jbi-21742	18	4	presence	presence	NOUN
jbi-21742	18	5	data	datum	NOUN
jbi-21742	18	6	only	only	ADV
jbi-21742	18	7	.	.	PUNCT
jbi-21742	19	1	regression	regression	NOUN
jbi-21742	19	2	and	and	CCONJ
jbi-21742	19	3	machine	machine	NOUN
jbi-21742	19	4	-	-	PUNCT
jbi-21742	19	5	learning	learn	VERB
jbi-21742	19	6	methods	method	NOUN
jbi-21742	19	7	use	use	VERB
jbi-21742	19	8	both	both	PRON
jbi-21742	19	9	presence	presence	NOUN
jbi-21742	19	10	-	-	PUNCT
jbi-21742	19	11	absence	absence	NOUN
jbi-21742	19	12	or	or	CCONJ
jbi-21742	19	13	presence	presence	NOUN
jbi-21742	19	14	-	-	PUNCT
jbi-21742	19	15	background	background	NOUN
jbi-21742	19	16	data	datum	NOUN
jbi-21742	19	17	.	.	PUNCT
jbi-21742	20	1	an	an	DET
jbi-21742	20	2	essential	essential	ADJ
jbi-21742	20	3	consideration	consideration	NOUN
jbi-21742	20	4	in	in	ADP
jbi-21742	20	5	ecological	ecological	ADJ
jbi-21742	20	6	studies	study	NOUN
jbi-21742	20	7	is	be	AUX
jbi-21742	20	8	understanding	understand	VERB
jbi-21742	20	9	the	the	DET
jbi-21742	20	10	meaning	meaning	NOUN
jbi-21742	20	11	of	of	ADP
jbi-21742	20	12	the	the	DET
jbi-21742	20	13	outputs	output	NOUN
jbi-21742	20	14	generated	generate	VERB
jbi-21742	20	15	by	by	ADP
jbi-21742	20	16	algorithms	algorithm	NOUN
jbi-21742	20	17	.	.	PUNCT
jbi-21742	21	1	a	a	DET
jbi-21742	21	2	common	common	ADJ
jbi-21742	21	3	objective	objective	NOUN
jbi-21742	21	4	of	of	ADP
jbi-21742	21	5	these	these	DET
jbi-21742	21	6	studies	study	NOUN
jbi-21742	21	7	is	be	AUX
jbi-21742	21	8	to	to	PART
jbi-21742	21	9	model	model	VERB
jbi-21742	21	10	the	the	DET
jbi-21742	21	11	probability	probability	NOUN
jbi-21742	21	12	of	of	ADP
jbi-21742	21	13	presence	presence	NOUN
jbi-21742	21	14	of	of	ADP
jbi-21742	21	15	a	a	DET
jbi-21742	21	16	particular	particular	ADJ
jbi-21742	21	17	species	specie	NOUN
jbi-21742	21	18	of	of	ADP
jbi-21742	21	19	interest	interest	NOUN
jbi-21742	21	20	.	.	PUNCT
jbi-21742	22	1	however	however	ADV
jbi-21742	22	2	,	,	PUNCT
jbi-21742	22	3	it	it	PRON
jbi-21742	22	4	is	be	AUX
jbi-21742	22	5	crucial	crucial	ADJ
jbi-21742	22	6	to	to	PART
jbi-21742	22	7	note	note	VERB
jbi-21742	22	8	that	that	SCONJ
jbi-21742	22	9	estimating	estimate	VERB
jbi-21742	22	10	probabilities	probability	NOUN
jbi-21742	22	11	of	of	ADP
jbi-21742	22	12	occurrence	occurrence	NOUN
jbi-21742	22	13	requires	require	VERB
jbi-21742	22	14	rigorous	rigorous	ADJ
jbi-21742	22	15	comparisons	comparison	NOUN
jbi-21742	22	16	of	of	ADP
jbi-21742	22	17	presence	presence	NOUN
jbi-21742	22	18	and	and	CCONJ
jbi-21742	22	19	absence	absence	NOUN
jbi-21742	22	20	data	datum	NOUN
jbi-21742	22	21	(	(	PUNCT
jbi-21742	22	22	ward	ward	NOUN
jbi-21742	22	23	et	et	PROPN
jbi-21742	22	24	al	al	PROPN
jbi-21742	22	25	.	.	PROPN
jbi-21742	22	26	2009	2009	NUM
jbi-21742	22	27	)	)	PUNCT
jbi-21742	22	28	.	.	PUNCT
jbi-21742	23	1	modeling	model	VERB
jbi-21742	23	2	applications	application	NOUN
jbi-21742	23	3	that	that	PRON
jbi-21742	23	4	utilize	utilize	VERB
jbi-21742	23	5	presence	presence	NOUN
jbi-21742	23	6	-	-	PUNCT
jbi-21742	23	7	only	only	ADV
jbi-21742	23	8	data	datum	NOUN
jbi-21742	23	9	can	can	AUX
jbi-21742	23	10	,	,	PUNCT
jbi-21742	23	11	at	at	ADP
jbi-21742	23	12	best	good	ADJ
jbi-21742	23	13	,	,	PUNCT
jbi-21742	23	14	estimate	estimate	VERB
jbi-21742	23	15	relative	relative	ADJ
jbi-21742	23	16	suitability	suitability	NOUN
jbi-21742	23	17	(	(	PUNCT
jbi-21742	23	18	ferrier	ferrier	NOUN
jbi-21742	23	19	et	et	PROPN
jbi-21742	23	20	al	al	PROPN
jbi-21742	23	21	.	.	PROPN
jbi-21742	23	22	2002	2002	NUM
jbi-21742	23	23	)	)	PUNCT
jbi-21742	23	24	.	.	PUNCT
jbi-21742	24	1	although	although	SCONJ
jbi-21742	24	2	availability	availability	NOUN
jbi-21742	24	3	of	of	ADP
jbi-21742	24	4	occurrence	occurrence	NOUN
jbi-21742	24	5	data	datum	NOUN
jbi-21742	24	6	poses	pose	VERB
jbi-21742	24	7	a	a	DET
jbi-21742	24	8	significant	significant	ADJ
jbi-21742	24	9	challenge	challenge	NOUN
jbi-21742	24	10	in	in	ADP
jbi-21742	24	11	ecological	ecological	ADJ
jbi-21742	24	12	niche	niche	NOUN
jbi-21742	24	13	modeling	modeling	NOUN
jbi-21742	24	14	,	,	PUNCT
jbi-21742	24	15	biodiversity	biodiversity	NOUN
jbi-21742	24	16	data	datum	NOUN
jbi-21742	24	17	-	-	PUNCT
jbi-21742	24	18	portals	portal	NOUN
jbi-21742	24	19	mailto:lfarias.giraldo@gmail.com	mailto:lfarias.giraldo@gmail.com	X
jbi-21742	24	20	arias	arias	PROPN
jbi-21742	24	21	-	-	PUNCT
jbi-21742	24	22	giraldo	giraldo	PROPN
jbi-21742	24	23	et	et	PROPN
jbi-21742	24	24	al	al	PROPN
jbi-21742	24	25	.	.	PROPN
jbi-21742	24	26	–	–	PUNCT
jbi-21742	24	27	enmpa	enmpa	NOUN
jbi-21742	24	28	29	29	NUM
jbi-21742	24	29	like	like	ADP
jbi-21742	24	30	the	the	DET
jbi-21742	24	31	global	global	ADJ
jbi-21742	24	32	biodiversity	biodiversity	NOUN
jbi-21742	24	33	information	information	NOUN
jbi-21742	24	34	facility	facility	NOUN
jbi-21742	24	35	(	(	PUNCT
jbi-21742	24	36	gbif	gbif	NOUN
jbi-21742	24	37	)	)	PUNCT
jbi-21742	24	38	can	can	AUX
jbi-21742	24	39	serve	serve	VERB
jbi-21742	24	40	as	as	ADP
jbi-21742	24	41	valuable	valuable	ADJ
jbi-21742	24	42	sources	source	NOUN
jbi-21742	24	43	of	of	ADP
jbi-21742	24	44	occurrence	occurrence	NOUN
jbi-21742	24	45	data	datum	NOUN
jbi-21742	24	46	records	record	NOUN
jbi-21742	24	47	,	,	PUNCT
jbi-21742	24	48	at	at	ADP
jbi-21742	24	49	least	least	ADJ
jbi-21742	24	50	potentially	potentially	ADV
jbi-21742	24	51	including	include	VERB
jbi-21742	24	52	presences	presence	NOUN
jbi-21742	24	53	and	and	CCONJ
jbi-21742	24	54	absences	absence	NOUN
jbi-21742	24	55	.	.	PUNCT
jbi-21742	25	1	among	among	ADP
jbi-21742	25	2	the	the	DET
jbi-21742	25	3	different	different	ADJ
jbi-21742	25	4	modeling	modeling	NOUN
jbi-21742	25	5	methods	method	NOUN
jbi-21742	25	6	that	that	PRON
jbi-21742	25	7	are	be	AUX
jbi-21742	25	8	used	use	VERB
jbi-21742	25	9	in	in	ADP
jbi-21742	25	10	enm	enm	PROPN
jbi-21742	25	11	,	,	PUNCT
jbi-21742	25	12	generalized	generalized	ADJ
jbi-21742	25	13	linear	linear	NOUN
jbi-21742	25	14	models	model	NOUN
jbi-21742	25	15	(	(	PUNCT
jbi-21742	25	16	glms	glm	NOUN
jbi-21742	25	17	)	)	PUNCT
jbi-21742	25	18	,	,	PUNCT
jbi-21742	25	19	an	an	DET
jbi-21742	25	20	extension	extension	NOUN
jbi-21742	25	21	of	of	ADP
jbi-21742	25	22	classical	classical	ADJ
jbi-21742	25	23	multiple	multiple	ADJ
jbi-21742	25	24	regression	regression	NOUN
jbi-21742	25	25	,	,	PUNCT
jbi-21742	25	26	have	have	AUX
jbi-21742	25	27	yielded	yield	VERB
jbi-21742	25	28	reliable	reliable	ADJ
jbi-21742	25	29	results	result	NOUN
jbi-21742	25	30	in	in	ADP
jbi-21742	25	31	ecological	ecological	ADJ
jbi-21742	25	32	research	research	NOUN
jbi-21742	25	33	in	in	ADP
jbi-21742	25	34	estimating	estimate	VERB
jbi-21742	25	35	probability	probability	NOUN
jbi-21742	25	36	of	of	ADP
jbi-21742	25	37	occurrence	occurrence	NOUN
jbi-21742	25	38	of	of	ADP
jbi-21742	25	39	species	specie	NOUN
jbi-21742	25	40	(	(	PUNCT
jbi-21742	25	41	guisan	guisan	PROPN
jbi-21742	25	42	et	et	PROPN
jbi-21742	25	43	al	al	PROPN
jbi-21742	25	44	.	.	PROPN
jbi-21742	25	45	2002	2002	NUM
jbi-21742	25	46	;	;	PUNCT
jbi-21742	25	47	bolker	bolker	PROPN
jbi-21742	25	48	et	et	PROPN
jbi-21742	25	49	al	al	PROPN
jbi-21742	25	50	.	.	PROPN
jbi-21742	25	51	2009	2009	NUM
jbi-21742	25	52	;	;	PUNCT
jbi-21742	25	53	rupprecht	rupprecht	NOUN
jbi-21742	25	54	et	et	PROPN
jbi-21742	25	55	al	al	PROPN
jbi-21742	25	56	.	.	PROPN
jbi-21742	25	57	2011	2011	NUM
jbi-21742	25	58	;	;	PUNCT
jbi-21742	25	59	ghanbarian	ghanbarian	PROPN
jbi-21742	25	60	et	et	PROPN
jbi-21742	25	61	al	al	PROPN
jbi-21742	25	62	.	.	PROPN
jbi-21742	25	63	2019	2019	NUM
jbi-21742	25	64	)	)	PUNCT
jbi-21742	25	65	.	.	PUNCT
jbi-21742	26	1	determination	determination	NOUN
jbi-21742	26	2	of	of	ADP
jbi-21742	26	3	species	specie	NOUN
jbi-21742	26	4	’	'	PUNCT
jbi-21742	26	5	responses	response	NOUN
jbi-21742	26	6	to	to	ADP
jbi-21742	26	7	environmental	environmental	ADJ
jbi-21742	26	8	gradients	gradient	NOUN
jbi-21742	26	9	is	be	AUX
jbi-21742	26	10	of	of	ADP
jbi-21742	26	11	particular	particular	ADJ
jbi-21742	26	12	interest	interest	NOUN
jbi-21742	26	13	for	for	ADP
jbi-21742	26	14	most	most	ADJ
jbi-21742	26	15	biological	biological	ADJ
jbi-21742	26	16	questions	question	NOUN
jbi-21742	26	17	in	in	ADP
jbi-21742	26	18	enm	enm	PROPN
jbi-21742	26	19	,	,	PUNCT
jbi-21742	26	20	which	which	PRON
jbi-21742	26	21	is	be	AUX
jbi-21742	26	22	given	give	VERB
jbi-21742	26	23	by	by	ADP
jbi-21742	26	24	the	the	DET
jbi-21742	26	25	shapes	shape	NOUN
jbi-21742	26	26	of	of	ADP
jbi-21742	26	27	response	response	NOUN
jbi-21742	26	28	curves	curve	NOUN
jbi-21742	26	29	(	(	PUNCT
jbi-21742	26	30	guisan	guisan	PROPN
jbi-21742	26	31	et	et	PROPN
jbi-21742	26	32	al	al	PROPN
jbi-21742	26	33	.	.	PROPN
jbi-21742	26	34	2002	2002	NUM
jbi-21742	26	35	;	;	PUNCT
jbi-21742	26	36	oksanen	oksanen	NOUN
jbi-21742	26	37	and	and	CCONJ
jbi-21742	26	38	minchin	minchin	PROPN
jbi-21742	26	39	2002	2002	NUM
jbi-21742	26	40	;	;	PUNCT
jbi-21742	26	41	austin	austin	PROPN
jbi-21742	26	42	2007	2007	NUM
jbi-21742	26	43	;	;	PUNCT
jbi-21742	26	44	santika	santika	NOUN
jbi-21742	26	45	and	and	CCONJ
jbi-21742	26	46	hutchinson	hutchinson	PROPN
jbi-21742	26	47	2009	2009	NUM
jbi-21742	26	48	)	)	PUNCT
jbi-21742	26	49	.	.	PUNCT
jbi-21742	27	1	fitting	fitting	ADJ
jbi-21742	27	2	glms	glm	NOUN
jbi-21742	27	3	via	via	ADP
jbi-21742	27	4	a	a	DET
jbi-21742	27	5	logistic	logistic	ADJ
jbi-21742	27	6	link	link	NOUN
jbi-21742	27	7	function	function	NOUN
jbi-21742	27	8	for	for	ADP
jbi-21742	27	9	presence	presence	NOUN
jbi-21742	27	10	-	-	PUNCT
jbi-21742	27	11	absence	absence	NOUN
jbi-21742	27	12	binomial	binomial	ADJ
jbi-21742	27	13	data	datum	NOUN
jbi-21742	27	14	offers	offer	VERB
jbi-21742	27	15	results	result	NOUN
jbi-21742	27	16	approximating	approximate	VERB
jbi-21742	27	17	gaussian	gaussian	ADJ
jbi-21742	27	18	curves	curve	NOUN
jbi-21742	27	19	according	accord	VERB
jbi-21742	27	20	to	to	ADP
jbi-21742	27	21	the	the	DET
jbi-21742	27	22	principles	principle	NOUN
jbi-21742	27	23	of	of	ADP
jbi-21742	27	24	ecological	ecological	ADJ
jbi-21742	27	25	niche	niche	NOUN
jbi-21742	27	26	theory	theory	NOUN
jbi-21742	27	27	(	(	PUNCT
jbi-21742	27	28	austin	austin	PROPN
jbi-21742	27	29	2007	2007	NUM
jbi-21742	27	30	;	;	PUNCT
jbi-21742	27	31	santika	santika	NOUN
jbi-21742	27	32	and	and	CCONJ
jbi-21742	27	33	hutchinson	hutchinson	PROPN
jbi-21742	27	34	2009	2009	NUM
jbi-21742	27	35	)	)	PUNCT
jbi-21742	27	36	.	.	PUNCT
jbi-21742	28	1	however	however	ADV
jbi-21742	28	2	,	,	PUNCT
jbi-21742	28	3	response	response	NOUN
jbi-21742	28	4	curves	curve	NOUN
jbi-21742	28	5	in	in	ADP
jbi-21742	28	6	glms	glm	NOUN
jbi-21742	28	7	may	may	AUX
jbi-21742	28	8	be	be	AUX
jbi-21742	28	9	inappropriate	inappropriate	ADJ
jbi-21742	28	10	or	or	CCONJ
jbi-21742	28	11	unrealistic	unrealistic	ADJ
jbi-21742	28	12	when	when	SCONJ
jbi-21742	28	13	models	model	NOUN
jbi-21742	28	14	are	be	AUX
jbi-21742	28	15	not	not	PART
jbi-21742	28	16	tuned	tune	VERB
jbi-21742	28	17	adequately	adequately	ADV
jbi-21742	28	18	(	(	PUNCT
jbi-21742	28	19	austin	austin	PROPN
jbi-21742	28	20	et	et	PROPN
jbi-21742	28	21	al	al	PROPN
jbi-21742	28	22	.	.	PROPN
jbi-21742	28	23	1990	1990	NUM
jbi-21742	28	24	)	)	PUNCT
jbi-21742	28	25	.	.	PUNCT
jbi-21742	29	1	it	it	PRON
jbi-21742	29	2	is	be	AUX
jbi-21742	29	3	crucial	crucial	ADJ
jbi-21742	29	4	to	to	PART
jbi-21742	29	5	explore	explore	VERB
jbi-21742	29	6	and	and	CCONJ
jbi-21742	29	7	determine	determine	VERB
jbi-21742	29	8	appropriate	appropriate	ADJ
jbi-21742	29	9	parameter	parameter	NOUN
jbi-21742	29	10	settings	setting	NOUN
jbi-21742	29	11	for	for	ADP
jbi-21742	29	12	models	model	NOUN
jbi-21742	29	13	,	,	PUNCT
jbi-21742	29	14	instead	instead	ADV
jbi-21742	29	15	of	of	ADP
jbi-21742	29	16	simply	simply	ADV
jbi-21742	29	17	using	use	VERB
jbi-21742	29	18	default	default	NOUN
jbi-21742	29	19	settings	setting	NOUN
jbi-21742	29	20	(	(	PUNCT
jbi-21742	29	21	warren	warren	NOUN
jbi-21742	29	22	and	and	CCONJ
jbi-21742	29	23	seifert	seifert	PROPN
jbi-21742	29	24	2011	2011	NUM
jbi-21742	29	25	)	)	PUNCT
jbi-21742	29	26	.	.	PUNCT
jbi-21742	30	1	this	this	DET
jbi-21742	30	2	task	task	NOUN
jbi-21742	30	3	can	can	AUX
jbi-21742	30	4	be	be	AUX
jbi-21742	30	5	accomplished	accomplish	VERB
jbi-21742	30	6	through	through	ADP
jbi-21742	30	7	model	model	NOUN
jbi-21742	30	8	calibration	calibration	NOUN
jbi-21742	30	9	and	and	CCONJ
jbi-21742	30	10	selection	selection	NOUN
jbi-21742	30	11	processes	process	NOUN
jbi-21742	30	12	(	(	PUNCT
jbi-21742	30	13	radosavljevic	radosavljevic	ADJ
jbi-21742	30	14	and	and	CCONJ
jbi-21742	30	15	anderson	anderson	PROPN
jbi-21742	30	16	2014	2014	NUM
jbi-21742	30	17	;	;	PUNCT
jbi-21742	30	18	hao	hao	PROPN
jbi-21742	30	19	et	et	PROPN
jbi-21742	30	20	al	al	PROPN
jbi-21742	30	21	.	.	PROPN
jbi-21742	30	22	2020	2020	NUM
jbi-21742	30	23	)	)	PUNCT
jbi-21742	30	24	.	.	PUNCT
jbi-21742	31	1	models	model	NOUN
jbi-21742	31	2	resulting	result	VERB
jbi-21742	31	3	from	from	ADP
jbi-21742	31	4	calibration	calibration	NOUN
jbi-21742	31	5	exercises	exercise	NOUN
jbi-21742	31	6	help	help	VERB
jbi-21742	31	7	to	to	PART
jbi-21742	31	8	describe	describe	VERB
jbi-21742	31	9	the	the	DET
jbi-21742	31	10	phenomenon	phenomenon	NOUN
jbi-21742	31	11	of	of	ADP
jbi-21742	31	12	interest	interest	NOUN
jbi-21742	31	13	better	well	ADV
jbi-21742	31	14	while	while	SCONJ
jbi-21742	31	15	achieving	achieve	VERB
jbi-21742	31	16	a	a	DET
jbi-21742	31	17	robust	robust	ADJ
jbi-21742	31	18	fit	fit	NOUN
jbi-21742	31	19	to	to	ADP
jbi-21742	31	20	the	the	DET
jbi-21742	31	21	data	datum	NOUN
jbi-21742	31	22	,	,	PUNCT
jbi-21742	31	23	high	high	ADJ
jbi-21742	31	24	predictive	predictive	ADJ
jbi-21742	31	25	performance	performance	NOUN
jbi-21742	31	26	,	,	PUNCT
jbi-21742	31	27	and	and	CCONJ
jbi-21742	31	28	generalizable	generalizable	ADJ
jbi-21742	31	29	model	model	NOUN
jbi-21742	31	30	terms	term	NOUN
jbi-21742	31	31	(	(	PUNCT
jbi-21742	31	32	cobos	cobos	PROPN
jbi-21742	31	33	et	et	PROPN
jbi-21742	31	34	al	al	PROPN
jbi-21742	31	35	.	.	PROPN
jbi-21742	31	36	2019a	2019a	NUM
jbi-21742	31	37	)	)	PUNCT
jbi-21742	31	38	.	.	PUNCT
jbi-21742	32	1	to	to	ADP
jbi-21742	32	2	our	our	PRON
jbi-21742	32	3	knowledge	knowledge	NOUN
jbi-21742	32	4	,	,	PUNCT
jbi-21742	32	5	well	well	ADV
jbi-21742	32	6	-	-	PUNCT
jbi-21742	32	7	defined	define	VERB
jbi-21742	32	8	tuning	tuning	NOUN
jbi-21742	32	9	routines	routine	NOUN
jbi-21742	32	10	have	have	VERB
jbi-21742	32	11	yet	yet	ADV
jbi-21742	32	12	to	to	PART
jbi-21742	32	13	be	be	AUX
jbi-21742	32	14	developed	develop	VERB
jbi-21742	32	15	for	for	ADP
jbi-21742	32	16	glms	glm	NOUN
jbi-21742	32	17	in	in	ADP
jbi-21742	32	18	enm	enm	PROPN
jbi-21742	32	19	,	,	PUNCT
jbi-21742	32	20	unlike	unlike	ADP
jbi-21742	32	21	methods	method	NOUN
jbi-21742	32	22	like	like	ADP
jbi-21742	32	23	maxent	maxent	NOUN
jbi-21742	32	24	(	(	PUNCT
jbi-21742	32	25	phillips	phillip	NOUN
jbi-21742	32	26	et	et	PROPN
jbi-21742	32	27	al	al	PROPN
jbi-21742	32	28	.	.	PROPN
jbi-21742	32	29	2006	2006	NUM
jbi-21742	32	30	;	;	PUNCT
jbi-21742	32	31	muscarella	muscarella	PROPN
jbi-21742	32	32	et	et	PROPN
jbi-21742	32	33	al	al	PROPN
jbi-21742	32	34	.	.	PROPN
jbi-21742	32	35	2014	2014	NUM
jbi-21742	32	36	;	;	PUNCT
jbi-21742	32	37	phillips	phillip	NOUN
jbi-21742	32	38	et	et	PROPN
jbi-21742	32	39	al	al	PROPN
jbi-21742	32	40	.	.	PROPN
jbi-21742	32	41	2017	2017	NUM
jbi-21742	32	42	;	;	PUNCT
jbi-21742	32	43	cobos	cobos	PROPN
jbi-21742	32	44	et	et	PROPN
jbi-21742	32	45	al	al	PROPN
jbi-21742	32	46	.	.	PROPN
jbi-21742	32	47	2019a	2019a	NUM
jbi-21742	32	48	)	)	PUNCT
jbi-21742	32	49	.	.	PUNCT
jbi-21742	33	1	to	to	PART
jbi-21742	33	2	bridge	bridge	VERB
jbi-21742	33	3	this	this	DET
jbi-21742	33	4	methodological	methodological	ADJ
jbi-21742	33	5	gap	gap	NOUN
jbi-21742	33	6	(	(	PUNCT
jbi-21742	33	7	glm	glm	NOUN
jbi-21742	33	8	tuning	tuning	NOUN
jbi-21742	33	9	routines	routine	NOUN
jbi-21742	33	10	for	for	ADP
jbi-21742	33	11	enm	enm	NOUN
jbi-21742	33	12	)	)	PUNCT
jbi-21742	33	13	,	,	PUNCT
jbi-21742	33	14	we	we	PRON
jbi-21742	33	15	introduce	introduce	VERB
jbi-21742	33	16	the	the	DET
jbi-21742	33	17	enmpa	enmpa	NOUN
jbi-21742	33	18	r	r	NOUN
jbi-21742	33	19	package	package	NOUN
jbi-21742	33	20	(	(	PUNCT
jbi-21742	33	21	r	r	NOUN
jbi-21742	33	22	core	core	NOUN
jbi-21742	33	23	team	team	NOUN
jbi-21742	33	24	2022	2022	NUM
jbi-21742	33	25	)	)	PUNCT
jbi-21742	33	26	.	.	PUNCT
jbi-21742	34	1	this	this	DET
jbi-21742	34	2	package	package	NOUN
jbi-21742	34	3	is	be	AUX
jbi-21742	34	4	designed	design	VERB
jbi-21742	34	5	to	to	PART
jbi-21742	34	6	refine	refine	VERB
jbi-21742	34	7	the	the	DET
jbi-21742	34	8	calibration	calibration	NOUN
jbi-21742	34	9	and	and	CCONJ
jbi-21742	34	10	parameter	parameter	NOUN
jbi-21742	34	11	tuning	tuning	NOUN
jbi-21742	34	12	processes	process	NOUN
jbi-21742	34	13	,	,	PUNCT
jbi-21742	34	14	offering	offer	VERB
jbi-21742	34	15	a	a	DET
jbi-21742	34	16	solution	solution	NOUN
jbi-21742	34	17	to	to	ADP
jbi-21742	34	18	the	the	DET
jbi-21742	34	19	challenges	challenge	NOUN
jbi-21742	34	20	in	in	ADP
jbi-21742	34	21	modeling	model	VERB
jbi-21742	34	22	robust	robust	ADJ
jbi-21742	34	23	ecological	ecological	ADJ
jbi-21742	34	24	niches	niche	NOUN
jbi-21742	34	25	with	with	ADP
jbi-21742	34	26	presenceabsence	presenceabsence	NOUN
jbi-21742	34	27	data	datum	NOUN
jbi-21742	34	28	.	.	PUNCT
jbi-21742	35	1	via	via	ADP
jbi-21742	35	2	enmpa	enmpa	NOUN
jbi-21742	35	3	,	,	PUNCT
jbi-21742	35	4	we	we	PRON
jbi-21742	35	5	explore	explore	VERB
jbi-21742	35	6	the	the	DET
jbi-21742	35	7	entire	entire	ADJ
jbi-21742	35	8	range	range	NOUN
jbi-21742	35	9	of	of	ADP
jbi-21742	35	10	possible	possible	ADJ
jbi-21742	35	11	model	model	NOUN
jbi-21742	35	12	configurations	configuration	NOUN
jbi-21742	35	13	to	to	PART
jbi-21742	35	14	identify	identify	VERB
jbi-21742	35	15	the	the	DET
jbi-21742	35	16	most	most	ADV
jbi-21742	35	17	suitable	suitable	ADJ
jbi-21742	35	18	and	and	CCONJ
jbi-21742	35	19	practical	practical	ADJ
jbi-21742	35	20	parameterizations	parameterization	NOUN
jbi-21742	35	21	for	for	ADP
jbi-21742	35	22	enms	enms	NOUN
jbi-21742	35	23	.	.	PUNCT
jbi-21742	36	1	package	package	NOUN
jbi-21742	36	2	descripton	descripton	PROPN
jbi-21742	36	3	the	the	DET
jbi-21742	36	4	enmpa	enmpa	NOUN
jbi-21742	36	5	r	r	NOUN
jbi-21742	36	6	package	package	NOUN
jbi-21742	36	7	provides	provide	VERB
jbi-21742	36	8	a	a	DET
jbi-21742	36	9	set	set	NOUN
jbi-21742	36	10	of	of	ADP
jbi-21742	36	11	tools	tool	NOUN
jbi-21742	36	12	to	to	PART
jbi-21742	36	13	automate	automate	VERB
jbi-21742	36	14	various	various	ADJ
jbi-21742	36	15	enm	enm	NOUN
jbi-21742	36	16	steps	step	NOUN
jbi-21742	36	17	using	use	VERB
jbi-21742	36	18	logistic	logistic	ADJ
jbi-21742	36	19	regressions	regression	NOUN
jbi-21742	36	20	via	via	ADP
jbi-21742	36	21	glms	glm	NOUN
jbi-21742	36	22	,	,	PUNCT
jbi-21742	36	23	focusing	focus	VERB
jbi-21742	36	24	on	on	ADP
jbi-21742	36	25	fitting	fitting	ADJ
jbi-21742	36	26	linear	linear	ADJ
jbi-21742	36	27	and	and	CCONJ
jbi-21742	36	28	quadratic	quadratic	ADJ
jbi-21742	36	29	relationships	relationship	NOUN
jbi-21742	36	30	and	and	CCONJ
jbi-21742	36	31	multiplicative	multiplicative	ADJ
jbi-21742	36	32	interactions	interaction	NOUN
jbi-21742	36	33	between	between	ADP
jbi-21742	36	34	predictors	predictor	NOUN
jbi-21742	36	35	.	.	PUNCT
jbi-21742	37	1	the	the	DET
jbi-21742	37	2	response	response	NOUN
jbi-21742	37	3	(	(	PUNCT
jbi-21742	37	4	dependent	dependent	ADJ
jbi-21742	37	5	)	)	PUNCT
jbi-21742	37	6	variable	variable	NOUN
jbi-21742	37	7	is	be	AUX
jbi-21742	37	8	a	a	DET
jbi-21742	37	9	set	set	NOUN
jbi-21742	37	10	of	of	ADP
jbi-21742	37	11	presence	presence	NOUN
jbi-21742	37	12	and	and	CCONJ
jbi-21742	37	13	absence	absence	NOUN
jbi-21742	37	14	records	record	NOUN
jbi-21742	37	15	,	,	PUNCT
jbi-21742	37	16	and	and	CCONJ
jbi-21742	37	17	the	the	DET
jbi-21742	37	18	predictor	predictor	NOUN
jbi-21742	37	19	(	(	PUNCT
jbi-21742	37	20	independent	independent	ADJ
jbi-21742	37	21	)	)	PUNCT
jbi-21742	37	22	variables	variable	NOUN
jbi-21742	37	23	can	can	AUX
jbi-21742	37	24	be	be	AUX
jbi-21742	37	25	defined	define	VERB
jbi-21742	37	26	according	accord	VERB
jbi-21742	37	27	to	to	ADP
jbi-21742	37	28	the	the	DET
jbi-21742	37	29	question	question	NOUN
jbi-21742	37	30	(	(	PUNCT
jbi-21742	37	31	e.g.	e.g.	ADV
jbi-21742	37	32	,	,	PUNCT
jbi-21742	37	33	bioclimatic	bioclimatic	ADJ
jbi-21742	37	34	variables	variable	NOUN
jbi-21742	37	35	)	)	PUNCT
jbi-21742	37	36	.	.	PUNCT
jbi-21742	38	1	major	major	ADJ
jbi-21742	38	2	steps	step	NOUN
jbi-21742	38	3	enabled	enable	VERB
jbi-21742	38	4	via	via	ADP
jbi-21742	38	5	enmpa	enmpa	NOUN
jbi-21742	38	6	include	include	VERB
jbi-21742	38	7	model	model	NOUN
jbi-21742	38	8	calibration	calibration	NOUN
jbi-21742	38	9	(	(	PUNCT
jbi-21742	38	10	candidate	candidate	NOUN
jbi-21742	38	11	model	model	NOUN
jbi-21742	38	12	fitting	fitting	ADJ
jbi-21742	38	13	and	and	CCONJ
jbi-21742	38	14	evaluation	evaluation	NOUN
jbi-21742	38	15	)	)	PUNCT
jbi-21742	38	16	,	,	PUNCT
jbi-21742	38	17	model	model	NOUN
jbi-21742	38	18	selection	selection	NOUN
jbi-21742	38	19	,	,	PUNCT
jbi-21742	38	20	model	model	NOUN
jbi-21742	38	21	transfers	transfer	NOUN
jbi-21742	38	22	,	,	PUNCT
jbi-21742	38	23	and	and	CCONJ
jbi-21742	38	24	model	model	NOUN
jbi-21742	38	25	evaluation	evaluation	NOUN
jbi-21742	38	26	with	with	ADP
jbi-21742	38	27	independent	independent	ADJ
jbi-21742	38	28	data	datum	NOUN
jbi-21742	38	29	.	.	PUNCT
jbi-21742	39	1	data	datum	NOUN
jbi-21742	39	2	required	require	VERB
jbi-21742	39	3	the	the	DET
jbi-21742	39	4	input	input	NOUN
jbi-21742	39	5	data	datum	NOUN
jbi-21742	39	6	required	require	VERB
jbi-21742	39	7	consist	consist	NOUN
jbi-21742	39	8	of	of	ADP
jbi-21742	39	9	presenceabsence	presenceabsence	NOUN
jbi-21742	39	10	records	record	NOUN
jbi-21742	39	11	associated	associate	VERB
jbi-21742	39	12	with	with	ADP
jbi-21742	39	13	values	value	NOUN
jbi-21742	39	14	of	of	ADP
jbi-21742	39	15	the	the	DET
jbi-21742	39	16	independent	independent	ADJ
jbi-21742	39	17	variables	variable	NOUN
jbi-21742	39	18	.	.	PUNCT
jbi-21742	40	1	the	the	DET
jbi-21742	40	2	dependent	dependent	ADJ
jbi-21742	40	3	variable	variable	NOUN
jbi-21742	40	4	is	be	AUX
jbi-21742	40	5	the	the	DET
jbi-21742	40	6	set	set	NOUN
jbi-21742	40	7	of	of	ADP
jbi-21742	40	8	presence	presence	NOUN
jbi-21742	40	9	-	-	PUNCT
jbi-21742	40	10	absence	absence	NOUN
jbi-21742	40	11	observations	observation	NOUN
jbi-21742	40	12	.	.	PUNCT
jbi-21742	41	1	the	the	DET
jbi-21742	41	2	data	datum	NOUN
jbi-21742	41	3	must	must	AUX
jbi-21742	41	4	be	be	AUX
jbi-21742	41	5	structured	structure	VERB
jbi-21742	41	6	as	as	ADP
jbi-21742	41	7	a	a	DET
jbi-21742	41	8	data.frame	data.frame	PROPN
jbi-21742	41	9	in	in	ADP
jbi-21742	41	10	r	r	NOUN
jbi-21742	41	11	to	to	PART
jbi-21742	41	12	ensure	ensure	VERB
jbi-21742	41	13	the	the	DET
jbi-21742	41	14	proper	proper	ADJ
jbi-21742	41	15	functioning	functioning	NOUN
jbi-21742	41	16	of	of	ADP
jbi-21742	41	17	the	the	DET
jbi-21742	41	18	package	package	NOUN
jbi-21742	41	19	.	.	PUNCT
jbi-21742	42	1	raster	raster	PROPN
jbi-21742	42	2	layers	layer	NOUN
jbi-21742	42	3	are	be	AUX
jbi-21742	42	4	required	require	VERB
jbi-21742	42	5	if	if	SCONJ
jbi-21742	42	6	model	model	NOUN
jbi-21742	42	7	predictions	prediction	NOUN
jbi-21742	42	8	need	need	VERB
jbi-21742	42	9	to	to	PART
jbi-21742	42	10	be	be	AUX
jbi-21742	42	11	done	do	VERB
jbi-21742	42	12	for	for	ADP
jbi-21742	42	13	geographic	geographic	ADJ
jbi-21742	42	14	areas	area	NOUN
jbi-21742	42	15	of	of	ADP
jbi-21742	42	16	interest	interest	NOUN
jbi-21742	42	17	.	.	PUNCT
jbi-21742	43	1	exploration	exploration	NOUN
jbi-21742	43	2	of	of	ADP
jbi-21742	43	3	variables	variable	NOUN
jbi-21742	43	4	for	for	ADP
jbi-21742	43	5	models	model	NOUN
jbi-21742	43	6	we	we	PRON
jbi-21742	43	7	adapted	adapt	VERB
jbi-21742	43	8	methods	method	NOUN
jbi-21742	43	9	developed	develop	VERB
jbi-21742	43	10	by	by	ADP
jbi-21742	43	11	cobos	cobo	NOUN
jbi-21742	43	12	and	and	CCONJ
jbi-21742	43	13	peterson	peterson	PROPN
jbi-21742	43	14	(	(	PUNCT
jbi-21742	43	15	2022	2022	NUM
jbi-21742	43	16	)	)	PUNCT
jbi-21742	43	17	to	to	PART
jbi-21742	43	18	identify	identify	VERB
jbi-21742	43	19	relevant	relevant	ADJ
jbi-21742	43	20	variables	variable	NOUN
jbi-21742	43	21	for	for	ADP
jbi-21742	43	22	characterizing	characterize	VERB
jbi-21742	43	23	species	specie	NOUN
jbi-21742	43	24	’	'	PUNCT
jbi-21742	43	25	ecological	ecological	ADJ
jbi-21742	43	26	niches	niche	NOUN
jbi-21742	43	27	.	.	PUNCT
jbi-21742	44	1	these	these	DET
jbi-21742	44	2	methods	method	NOUN
jbi-21742	44	3	include	include	VERB
jbi-21742	44	4	two	two	NUM
jbi-21742	44	5	complementary	complementary	ADJ
jbi-21742	44	6	statistical	statistical	ADJ
jbi-21742	44	7	analyses	analysis	NOUN
jbi-21742	44	8	:	:	PUNCT
jbi-21742	44	9	(	(	PUNCT
jbi-21742	44	10	1	1	X
jbi-21742	44	11	)	)	PUNCT
jbi-21742	44	12	a	a	DET
jbi-21742	44	13	multivariate	multivariate	NOUN
jbi-21742	44	14	approach	approach	NOUN
jbi-21742	44	15	based	base	VERB
jbi-21742	44	16	on	on	ADP
jbi-21742	44	17	a	a	DET
jbi-21742	44	18	permutational	permutational	ADJ
jbi-21742	44	19	multivariate	multivariate	NOUN
jbi-21742	44	20	analysis	analysis	NOUN
jbi-21742	44	21	of	of	ADP
jbi-21742	44	22	variance	variance	NOUN
jbi-21742	44	23	(	(	PUNCT
jbi-21742	44	24	permanova	permanova	PROPN
jbi-21742	44	25	)	)	PUNCT
jbi-21742	44	26	(	(	PUNCT
jbi-21742	44	27	anderson	anderson	PROPN
jbi-21742	44	28	2017	2017	NUM
jbi-21742	44	29	)	)	PUNCT
jbi-21742	44	30	and	and	CCONJ
jbi-21742	44	31	(	(	PUNCT
jbi-21742	44	32	2	2	X
jbi-21742	44	33	)	)	PUNCT
jbi-21742	44	34	a	a	DET
jbi-21742	44	35	univariate	univariate	ADJ
jbi-21742	44	36	non	non	ADJ
jbi-21742	44	37	-	-	ADJ
jbi-21742	44	38	parametric	parametric	ADJ
jbi-21742	44	39	method	method	NOUN
jbi-21742	44	40	based	base	VERB
jbi-21742	44	41	on	on	ADP
jbi-21742	44	42	descriptive	descriptive	ADJ
jbi-21742	44	43	statistics	statistic	NOUN
jbi-21742	44	44	and	and	CCONJ
jbi-21742	44	45	randomizations	randomization	NOUN
jbi-21742	44	46	.	.	PUNCT
jbi-21742	45	1	these	these	DET
jbi-21742	45	2	methods	method	NOUN
jbi-21742	45	3	are	be	AUX
jbi-21742	45	4	designed	design	VERB
jbi-21742	45	5	to	to	PART
jbi-21742	45	6	allow	allow	VERB
jbi-21742	45	7	characterizations	characterization	NOUN
jbi-21742	45	8	of	of	ADP
jbi-21742	45	9	signals	signal	NOUN
jbi-21742	45	10	of	of	ADP
jbi-21742	45	11	ecological	ecological	ADJ
jbi-21742	45	12	niches	niche	NOUN
jbi-21742	45	13	while	while	SCONJ
jbi-21742	45	14	considering	consider	VERB
jbi-21742	45	15	the	the	DET
jbi-21742	45	16	sampling	sample	VERB
jbi-21742	45	17	universe	universe	NOUN
jbi-21742	45	18	explicitly	explicitly	ADV
jbi-21742	45	19	.	.	PUNCT
jbi-21742	46	1	as	as	SCONJ
jbi-21742	46	2	enmpa	enmpa	NOUN
jbi-21742	46	3	uses	use	VERB
jbi-21742	46	4	presence	presence	NOUN
jbi-21742	46	5	-	-	PUNCT
jbi-21742	46	6	absence	absence	NOUN
jbi-21742	46	7	data	datum	NOUN
jbi-21742	46	8	through	through	ADP
jbi-21742	46	9	logistic	logistic	ADJ
jbi-21742	46	10	regression	regression	NOUN
jbi-21742	46	11	,	,	PUNCT
jbi-21742	46	12	we	we	PRON
jbi-21742	46	13	consider	consider	VERB
jbi-21742	46	14	it	it	PRON
jbi-21742	46	15	appropriate	appropriate	ADJ
jbi-21742	46	16	to	to	PART
jbi-21742	46	17	implement	implement	VERB
jbi-21742	46	18	this	this	DET
jbi-21742	46	19	method	method	NOUN
jbi-21742	46	20	as	as	ADP
jbi-21742	46	21	a	a	DET
jbi-21742	46	22	potential	potential	ADJ
jbi-21742	46	23	variable	variable	ADJ
jbi-21742	46	24	selection	selection	NOUN
jbi-21742	46	25	step	step	NOUN
jbi-21742	46	26	prior	prior	ADV
jbi-21742	46	27	to	to	ADP
jbi-21742	46	28	modeling	modeling	NOUN
jbi-21742	46	29	.	.	PUNCT
jbi-21742	47	1	together	together	ADV
jbi-21742	47	2	with	with	ADP
jbi-21742	47	3	proper	proper	ADJ
jbi-21742	47	4	considerations	consideration	NOUN
jbi-21742	47	5	of	of	ADP
jbi-21742	47	6	variable	variable	ADJ
jbi-21742	47	7	biological	biological	ADJ
jbi-21742	47	8	relevance	relevance	NOUN
jbi-21742	47	9	,	,	PUNCT
jbi-21742	47	10	this	this	DET
jbi-21742	47	11	step	step	NOUN
jbi-21742	47	12	can	can	AUX
jbi-21742	47	13	help	help	VERB
jbi-21742	47	14	to	to	PART
jbi-21742	47	15	reduce	reduce	VERB
jbi-21742	47	16	initial	initial	ADJ
jbi-21742	47	17	numbers	number	NOUN
jbi-21742	47	18	of	of	ADP
jbi-21742	47	19	predictors	predictor	NOUN
jbi-21742	47	20	considered	consider	VERB
jbi-21742	47	21	for	for	ADP
jbi-21742	47	22	enm	enm	NOUN
jbi-21742	47	23	analysis	analysis	NOUN
jbi-21742	47	24	(	(	PUNCT
jbi-21742	47	25	cobos	cobos	PROPN
jbi-21742	47	26	et	et	PROPN
jbi-21742	47	27	al	al	PROPN
jbi-21742	47	28	.	.	PROPN
jbi-21742	47	29	2019b	2019b	NUM
jbi-21742	47	30	)	)	PUNCT
jbi-21742	47	31	.	.	PUNCT
jbi-21742	48	1	model	model	PROPN
jbi-21742	48	2	calibration	calibration	NOUN
jbi-21742	48	3	the	the	DET
jbi-21742	48	4	model	model	NOUN
jbi-21742	48	5	calibration	calibration	NOUN
jbi-21742	48	6	step	step	NOUN
jbi-21742	48	7	aims	aim	VERB
jbi-21742	48	8	to	to	PART
jbi-21742	48	9	determine	determine	VERB
jbi-21742	48	10	which	which	DET
jbi-21742	48	11	combination	combination	NOUN
jbi-21742	48	12	of	of	ADP
jbi-21742	48	13	parameter	parameter	NOUN
jbi-21742	48	14	settings	setting	NOUN
jbi-21742	48	15	best	well	ADV
jbi-21742	48	16	represents	represent	VERB
jbi-21742	48	17	the	the	DET
jbi-21742	48	18	phenomenon	phenomenon	NOUN
jbi-21742	48	19	of	of	ADP
jbi-21742	48	20	interest	interest	NOUN
jbi-21742	48	21	via	via	ADP
jbi-21742	48	22	exploration	exploration	NOUN
jbi-21742	48	23	of	of	ADP
jbi-21742	48	24	performance	performance	NOUN
jbi-21742	48	25	metrics	metric	NOUN
jbi-21742	48	26	that	that	PRON
jbi-21742	48	27	characterize	characterize	VERB
jbi-21742	48	28	how	how	SCONJ
jbi-21742	48	29	well	well	ADV
jbi-21742	48	30	models	model	NOUN
jbi-21742	48	31	fit	fit	VERB
jbi-21742	48	32	the	the	DET
jbi-21742	48	33	data	datum	NOUN
jbi-21742	48	34	(	(	PUNCT
jbi-21742	48	35	steele	steele	PROPN
jbi-21742	48	36	and	and	CCONJ
jbi-21742	48	37	werndl	werndl	PROPN
jbi-21742	48	38	2013	2013	NUM
jbi-21742	48	39	)	)	PUNCT
jbi-21742	48	40	.	.	PUNCT
jbi-21742	49	1	the	the	DET
jbi-21742	49	2	tools	tool	NOUN
jbi-21742	49	3	in	in	ADP
jbi-21742	49	4	enmpa	enmpa	NOUN
jbi-21742	49	5	automate	automate	VERB
jbi-21742	49	6	a	a	DET
jbi-21742	49	7	process	process	NOUN
jbi-21742	49	8	that	that	PRON
jbi-21742	49	9	includes	include	VERB
jbi-21742	49	10	three	three	NUM
jbi-21742	49	11	main	main	ADJ
jbi-21742	49	12	steps	step	NOUN
jbi-21742	49	13	:	:	PUNCT
jbi-21742	49	14	(	(	PUNCT
jbi-21742	49	15	1	1	X
jbi-21742	49	16	)	)	PUNCT
jbi-21742	49	17	fitting	fitting	ADJ
jbi-21742	49	18	candidate	candidate	NOUN
jbi-21742	49	19	models	model	NOUN
jbi-21742	49	20	with	with	ADP
jbi-21742	49	21	distinct	distinct	ADJ
jbi-21742	49	22	parameter	parameter	NOUN
jbi-21742	49	23	settings	setting	NOUN
jbi-21742	49	24	,	,	PUNCT
jbi-21742	49	25	(	(	PUNCT
jbi-21742	49	26	2	2	X
jbi-21742	49	27	)	)	PUNCT
jbi-21742	49	28	evaluating	evaluate	VERB
jbi-21742	49	29	their	their	PRON
jbi-21742	49	30	performance	performance	NOUN
jbi-21742	49	31	,	,	PUNCT
jbi-21742	49	32	arias	aria	NOUN
jbi-21742	49	33	-	-	PUNCT
jbi-21742	49	34	giraldo	giraldo	PROPN
jbi-21742	49	35	et	et	PROPN
jbi-21742	49	36	al	al	PROPN
jbi-21742	49	37	.	.	PROPN
jbi-21742	49	38	–	–	PUNCT
jbi-21742	49	39	enmpa	enmpa	NOUN
jbi-21742	49	40	30	30	NUM
jbi-21742	49	41	and	and	CCONJ
jbi-21742	49	42	(	(	PUNCT
jbi-21742	49	43	3	3	X
jbi-21742	49	44	)	)	PUNCT
jbi-21742	49	45	selecting	select	VERB
jbi-21742	49	46	the	the	DET
jbi-21742	49	47	most	most	ADV
jbi-21742	49	48	robust	robust	ADJ
jbi-21742	49	49	candidates	candidate	NOUN
jbi-21742	49	50	based	base	VERB
jbi-21742	49	51	on	on	ADP
jbi-21742	49	52	predefined	predefine	VERB
jbi-21742	49	53	criteria	criterion	NOUN
jbi-21742	49	54	.	.	PUNCT
jbi-21742	50	1	candidate	candidate	NOUN
jbi-21742	50	2	model	model	NOUN
jbi-21742	50	3	fitting	fit	VERB
jbi-21742	50	4	in	in	ADP
jbi-21742	50	5	this	this	DET
jbi-21742	50	6	package	package	NOUN
jbi-21742	50	7	,	,	PUNCT
jbi-21742	50	8	we	we	PRON
jbi-21742	50	9	propose	propose	VERB
jbi-21742	50	10	exploring	explore	VERB
jbi-21742	50	11	distinct	distinct	ADJ
jbi-21742	50	12	parameter	parameter	NOUN
jbi-21742	50	13	settings	setting	NOUN
jbi-21742	50	14	by	by	ADP
jbi-21742	50	15	producing	produce	VERB
jbi-21742	50	16	multiple	multiple	ADJ
jbi-21742	50	17	model	model	NOUN
jbi-21742	50	18	formulas	formula	NOUN
jbi-21742	50	19	to	to	ADP
jbi-21742	50	20	fit	fit	ADJ
jbi-21742	50	21	models	model	NOUN
jbi-21742	50	22	to	to	ADP
jbi-21742	50	23	the	the	DET
jbi-21742	50	24	data	datum	NOUN
jbi-21742	50	25	.	.	PUNCT
jbi-21742	51	1	these	these	DET
jbi-21742	51	2	formulas	formula	NOUN
jbi-21742	51	3	derive	derive	VERB
jbi-21742	51	4	from	from	ADP
jbi-21742	51	5	combinations	combination	NOUN
jbi-21742	51	6	of	of	ADP
jbi-21742	51	7	predictors	predictor	NOUN
jbi-21742	51	8	that	that	PRON
jbi-21742	51	9	can	can	AUX
jbi-21742	51	10	be	be	AUX
jbi-21742	51	11	obtained	obtain	VERB
jbi-21742	51	12	using	use	VERB
jbi-21742	51	13	the	the	DET
jbi-21742	51	14	original	original	ADJ
jbi-21742	51	15	independent	independent	ADJ
jbi-21742	51	16	variables	variable	NOUN
jbi-21742	51	17	and	and	CCONJ
jbi-21742	51	18	response	response	NOUN
jbi-21742	51	19	types	type	NOUN
jbi-21742	51	20	:	:	PUNCT
jbi-21742	51	21	linear	linear	PROPN
jbi-21742	51	22	(	(	PUNCT
jbi-21742	51	23	l	l	NOUN
jbi-21742	51	24	)	)	PUNCT
jbi-21742	51	25	,	,	PUNCT
jbi-21742	51	26	quadratic	quadratic	ADJ
jbi-21742	51	27	(	(	PUNCT
jbi-21742	51	28	q	q	NOUN
jbi-21742	51	29	)	)	PUNCT
jbi-21742	51	30	,	,	PUNCT
jbi-21742	51	31	and	and	CCONJ
jbi-21742	51	32	product	product	NOUN
jbi-21742	51	33	(	(	PUNCT
jbi-21742	51	34	p	p	NOUN
jbi-21742	51	35	)	)	PUNCT
jbi-21742	51	36	.	.	PUNCT
jbi-21742	52	1	this	this	DET
jbi-21742	52	2	approach	approach	NOUN
jbi-21742	52	3	allows	allow	VERB
jbi-21742	52	4	exhaustive	exhaustive	ADJ
jbi-21742	52	5	exploration	exploration	NOUN
jbi-21742	52	6	of	of	ADP
jbi-21742	52	7	all	all	DET
jbi-21742	52	8	possible	possible	ADJ
jbi-21742	52	9	combinations	combination	NOUN
jbi-21742	52	10	of	of	ADP
jbi-21742	52	11	predictors	predictor	NOUN
jbi-21742	52	12	,	,	PUNCT
jbi-21742	52	13	enabling	enable	VERB
jbi-21742	52	14	a	a	DET
jbi-21742	52	15	detailed	detailed	ADJ
jbi-21742	52	16	analysis	analysis	NOUN
jbi-21742	52	17	of	of	ADP
jbi-21742	52	18	the	the	DET
jbi-21742	52	19	entire	entire	ADJ
jbi-21742	52	20	predictor	predictor	NOUN
jbi-21742	52	21	setting	set	VERB
jbi-21742	52	22	space	space	NOUN
jbi-21742	52	23	(	(	PUNCT
jbi-21742	52	24	cobos	cobo	NOUN
jbi-21742	52	25	et	et	PROPN
jbi-21742	52	26	al	al	PROPN
jbi-21742	52	27	.	.	PROPN
jbi-21742	52	28	2019b	2019b	NUM
jbi-21742	52	29	)	)	PUNCT
jbi-21742	52	30	.	.	PUNCT
jbi-21742	53	1	users	user	NOUN
jbi-21742	53	2	can	can	AUX
jbi-21742	53	3	produce	produce	VERB
jbi-21742	53	4	all	all	DET
jbi-21742	53	5	these	these	DET
jbi-21742	53	6	formulas	formula	NOUN
jbi-21742	53	7	manually	manually	ADV
jbi-21742	53	8	or	or	CCONJ
jbi-21742	53	9	use	use	VERB
jbi-21742	53	10	functions	function	NOUN
jbi-21742	53	11	in	in	ADP
jbi-21742	53	12	enmpa	enmpa	NOUN
jbi-21742	53	13	designed	design	VERB
jbi-21742	53	14	to	to	PART
jbi-21742	53	15	automate	automate	VERB
jbi-21742	53	16	the	the	DET
jbi-21742	53	17	process	process	NOUN
jbi-21742	53	18	considering	consider	VERB
jbi-21742	53	19	two	two	NUM
jbi-21742	53	20	main	main	ADJ
jbi-21742	53	21	inputs	input	NOUN
jbi-21742	53	22	:	:	PUNCT
jbi-21742	53	23	variable	variable	ADJ
jbi-21742	53	24	names	name	NOUN
jbi-21742	53	25	and	and	CCONJ
jbi-21742	53	26	response	response	NOUN
jbi-21742	53	27	types	type	NOUN
jbi-21742	53	28	.	.	PUNCT
jbi-21742	54	1	users	user	NOUN
jbi-21742	54	2	can	can	AUX
jbi-21742	54	3	also	also	ADV
jbi-21742	54	4	define	define	VERB
jbi-21742	54	5	the	the	DET
jbi-21742	54	6	permutation	permutation	NOUN
jbi-21742	54	7	strategy	strategy	NOUN
jbi-21742	54	8	to	to	PART
jbi-21742	54	9	create	create	VERB
jbi-21742	54	10	formulas	formula	NOUN
jbi-21742	54	11	according	accord	VERB
jbi-21742	54	12	to	to	ADP
jbi-21742	54	13	the	the	DET
jbi-21742	54	14	desired	desire	VERB
jbi-21742	54	15	level	level	NOUN
jbi-21742	54	16	of	of	ADP
jbi-21742	54	17	intensiveness	intensiveness	NOUN
jbi-21742	54	18	in	in	ADP
jbi-21742	54	19	exploring	explore	VERB
jbi-21742	54	20	setting	set	VERB
jbi-21742	54	21	options	option	NOUN
jbi-21742	54	22	(	(	PUNCT
jbi-21742	54	23	e.g.	e.g.	ADV
jbi-21742	54	24	,	,	PUNCT
jbi-21742	54	25	only	only	ADV
jbi-21742	54	26	increasing	increase	VERB
jbi-21742	54	27	complexity	complexity	NOUN
jbi-21742	54	28	of	of	ADP
jbi-21742	54	29	variable	variable	ADJ
jbi-21742	54	30	combinations	combination	NOUN
jbi-21742	54	31	,	,	PUNCT
jbi-21742	54	32	or	or	CCONJ
jbi-21742	54	33	all	all	DET
jbi-21742	54	34	independent	independent	ADJ
jbi-21742	54	35	and	and	CCONJ
jbi-21742	54	36	combinatorial	combinatorial	ADJ
jbi-21742	54	37	options	option	NOUN
jbi-21742	54	38	)	)	PUNCT
jbi-21742	54	39	.	.	PUNCT
jbi-21742	55	1	candidate	candidate	NOUN
jbi-21742	55	2	model	model	NOUN
jbi-21742	55	3	evaluation	evaluation	NOUN
jbi-21742	55	4	to	to	PART
jbi-21742	55	5	evaluate	evaluate	VERB
jbi-21742	55	6	candidate	candidate	NOUN
jbi-21742	55	7	models	model	NOUN
jbi-21742	55	8	,	,	PUNCT
jbi-21742	55	9	we	we	PRON
jbi-21742	55	10	use	use	VERB
jbi-21742	55	11	three	three	NUM
jbi-21742	55	12	complementary	complementary	ADJ
jbi-21742	55	13	approaches	approach	NOUN
jbi-21742	55	14	.	.	PUNCT
jbi-21742	56	1	the	the	DET
jbi-21742	56	2	first	first	ADJ
jbi-21742	56	3	tests	test	NOUN
jbi-21742	56	4	predictive	predictive	ADJ
jbi-21742	56	5	power	power	NOUN
jbi-21742	56	6	using	use	VERB
jbi-21742	56	7	a	a	DET
jbi-21742	56	8	k	k	ADJ
jbi-21742	56	9	-	-	ADJ
jbi-21742	56	10	fold	fold	ADJ
jbi-21742	56	11	cross	cross	ADJ
jbi-21742	56	12	-	-	ADJ
jbi-21742	56	13	validation	validation	ADJ
jbi-21742	56	14	approach	approach	NOUN
jbi-21742	56	15	(	(	PUNCT
jbi-21742	56	16	hastie	hastie	PROPN
jbi-21742	56	17	et	et	PROPN
jbi-21742	56	18	al	al	PROPN
jbi-21742	56	19	.	.	PROPN
jbi-21742	56	20	2009	2009	NUM
jbi-21742	56	21	)	)	PUNCT
jbi-21742	56	22	.	.	PUNCT
jbi-21742	57	1	the	the	DET
jbi-21742	57	2	original	original	ADJ
jbi-21742	57	3	dataset	dataset	NOUN
jbi-21742	57	4	is	be	AUX
jbi-21742	57	5	partitioned	partition	VERB
jbi-21742	57	6	into	into	ADP
jbi-21742	57	7	k	k	PROPN
jbi-21742	57	8	subsets	subset	NOUN
jbi-21742	57	9	(	(	PUNCT
jbi-21742	57	10	folds	fold	NOUN
jbi-21742	57	11	)	)	PUNCT
jbi-21742	57	12	aiming	aim	VERB
jbi-21742	57	13	for	for	ADP
jbi-21742	57	14	equal	equal	ADJ
jbi-21742	57	15	size	size	NOUN
jbi-21742	57	16	and	and	CCONJ
jbi-21742	57	17	maintaining	maintain	VERB
jbi-21742	57	18	the	the	DET
jbi-21742	57	19	original	original	ADJ
jbi-21742	57	20	prevalence	prevalence	NOUN
jbi-21742	57	21	(	(	PUNCT
jbi-21742	57	22	ratio	ratio	NOUN
jbi-21742	57	23	of	of	ADP
jbi-21742	57	24	presences	presence	NOUN
jbi-21742	57	25	and	and	CCONJ
jbi-21742	57	26	absences	absence	NOUN
jbi-21742	57	27	)	)	PUNCT
jbi-21742	57	28	.	.	PUNCT
jbi-21742	58	1	the	the	DET
jbi-21742	58	2	algorithm	algorithm	NOUN
jbi-21742	58	3	performs	perform	VERB
jbi-21742	58	4	k	k	PROPN
jbi-21742	58	5	iterations	iteration	NOUN
jbi-21742	58	6	of	of	ADP
jbi-21742	58	7	training	training	NOUN
jbi-21742	58	8	,	,	PUNCT
jbi-21742	58	9	in	in	ADP
jbi-21742	58	10	which	which	PRON
jbi-21742	58	11	each	each	DET
jbi-21742	58	12	iteration	iteration	NOUN
jbi-21742	58	13	uses	use	VERB
jbi-21742	58	14	k	k	PROPN
jbi-21742	58	15	1	1	NUM
jbi-21742	58	16	folds	fold	NOUN
jbi-21742	58	17	for	for	ADP
jbi-21742	58	18	training	training	NOUN
jbi-21742	58	19	and	and	CCONJ
jbi-21742	58	20	keeps	keep	VERB
jbi-21742	58	21	one	one	NUM
jbi-21742	58	22	fold	fold	NOUN
jbi-21742	58	23	for	for	ADP
jbi-21742	58	24	testing	testing	NOUN
jbi-21742	58	25	.	.	PUNCT
jbi-21742	59	1	this	this	DET
jbi-21742	59	2	process	process	NOUN
jbi-21742	59	3	evaluates	evaluate	VERB
jbi-21742	59	4	model	model	NOUN
jbi-21742	59	5	discrimination	discrimination	NOUN
jbi-21742	59	6	and	and	CCONJ
jbi-21742	59	7	classification	classification	NOUN
jbi-21742	59	8	capacities	capacity	NOUN
jbi-21742	59	9	.	.	PUNCT
jbi-21742	60	1	discrimination	discrimination	NOUN
jbi-21742	60	2	is	be	AUX
jbi-21742	60	3	measured	measure	VERB
jbi-21742	60	4	using	use	VERB
jbi-21742	60	5	the	the	DET
jbi-21742	60	6	area	area	NOUN
jbi-21742	60	7	under	under	ADP
jbi-21742	60	8	the	the	DET
jbi-21742	60	9	receiver	receiver	NOUN
jbi-21742	60	10	operating	operate	VERB
jbi-21742	60	11	curve	curve	NOUN
jbi-21742	60	12	(	(	PUNCT
jbi-21742	60	13	roc	roc	NOUN
jbi-21742	60	14	-	-	PUNCT
jbi-21742	60	15	auc	auc	NOUN
jbi-21742	60	16	)	)	PUNCT
jbi-21742	60	17	,	,	PUNCT
jbi-21742	60	18	a	a	DET
jbi-21742	60	19	nonthreshold	nonthreshold	ADJ
jbi-21742	60	20	dependent	dependent	ADJ
jbi-21742	60	21	metric	metric	NOUN
jbi-21742	60	22	used	use	VERB
jbi-21742	60	23	,	,	PUNCT
jbi-21742	60	24	in	in	ADP
jbi-21742	60	25	our	our	PRON
jbi-21742	60	26	case	case	NOUN
jbi-21742	60	27	,	,	PUNCT
jbi-21742	60	28	solely	solely	ADV
jbi-21742	60	29	to	to	PART
jbi-21742	60	30	detect	detect	VERB
jbi-21742	60	31	models	model	NOUN
jbi-21742	60	32	that	that	PRON
jbi-21742	60	33	perform	perform	VERB
jbi-21742	60	34	better	well	ADJ
jbi-21742	60	35	than	than	ADP
jbi-21742	60	36	random	random	ADJ
jbi-21742	60	37	expectations	expectation	NOUN
jbi-21742	60	38	(	(	PUNCT
jbi-21742	60	39	lobo	lobo	NOUN
jbi-21742	60	40	et	et	PROPN
jbi-21742	60	41	al	al	PROPN
jbi-21742	60	42	.	.	PROPN
jbi-21742	60	43	2008	2008	NUM
jbi-21742	60	44	)	)	PUNCT
jbi-21742	60	45	.	.	PUNCT
jbi-21742	61	1	classification	classification	NOUN
jbi-21742	61	2	ability	ability	NOUN
jbi-21742	61	3	is	be	AUX
jbi-21742	61	4	measured	measure	VERB
jbi-21742	61	5	via	via	ADP
jbi-21742	61	6	several	several	ADJ
jbi-21742	61	7	metrics	metric	NOUN
jbi-21742	61	8	deriving	derive	VERB
jbi-21742	61	9	from	from	ADP
jbi-21742	61	10	an	an	DET
jbi-21742	61	11	estimated	estimate	VERB
jbi-21742	61	12	confusion	confusion	NOUN
jbi-21742	61	13	matrix	matrix	NOUN
jbi-21742	61	14	,	,	PUNCT
jbi-21742	61	15	including	include	VERB
jbi-21742	61	16	sensitivity	sensitivity	NOUN
jbi-21742	61	17	,	,	PUNCT
jbi-21742	61	18	specificity	specificity	NOUN
jbi-21742	61	19	,	,	PUNCT
jbi-21742	61	20	accuracy	accuracy	NOUN
jbi-21742	61	21	,	,	PUNCT
jbi-21742	61	22	false	false	ADJ
jbi-21742	61	23	positive	positive	ADJ
jbi-21742	61	24	rate	rate	NOUN
jbi-21742	61	25	,	,	PUNCT
jbi-21742	61	26	and	and	CCONJ
jbi-21742	61	27	true	true	ADJ
jbi-21742	61	28	skill	skill	NOUN
jbi-21742	61	29	statistic	statistic	NOUN
jbi-21742	61	30	(	(	PUNCT
jbi-21742	61	31	tss	tss	PROPN
jbi-21742	61	32	)	)	PUNCT
jbi-21742	61	33	,	,	PUNCT
jbi-21742	61	34	all	all	PRON
jbi-21742	61	35	of	of	ADP
jbi-21742	61	36	them	they	PRON
jbi-21742	61	37	according	accord	VERB
jbi-21742	61	38	to	to	ADP
jbi-21742	61	39	three	three	NUM
jbi-21742	61	40	thresholds	threshold	NOUN
jbi-21742	61	41	(	(	PUNCT
jbi-21742	61	42	i.e.	i.e.	X
jbi-21742	61	43	,	,	PUNCT
jbi-21742	61	44	equal	equal	ADJ
jbi-21742	61	45	sensitivity	sensitivity	NOUN
jbi-21742	61	46	and	and	CCONJ
jbi-21742	61	47	specificity	specificity	NOUN
jbi-21742	61	48	,	,	PUNCT
jbi-21742	61	49	sensitivity	sensitivity	NOUN
jbi-21742	61	50	of	of	ADP
jbi-21742	61	51	90	90	NUM
jbi-21742	61	52	%	%	NOUN
jbi-21742	61	53	,	,	PUNCT
jbi-21742	61	54	and	and	CCONJ
jbi-21742	61	55	maximum	maximum	PROPN
jbi-21742	61	56	tss	tss	NOUN
jbi-21742	61	57	)	)	PUNCT
jbi-21742	61	58	(	(	PUNCT
jbi-21742	61	59	fielding	field	VERB
jbi-21742	61	60	and	and	CCONJ
jbi-21742	61	61	bell	bell	NOUN
jbi-21742	61	62	1997	1997	NUM
jbi-21742	61	63	;	;	PUNCT
jbi-21742	61	64	manel	manel	PROPN
jbi-21742	61	65	et	et	PROPN
jbi-21742	61	66	al	al	PROPN
jbi-21742	61	67	.	.	PROPN
jbi-21742	61	68	2001	2001	NUM
jbi-21742	61	69	;	;	PUNCT
jbi-21742	61	70	allouche	allouche	PROPN
jbi-21742	61	71	et	et	PROPN
jbi-21742	61	72	al	al	PROPN
jbi-21742	61	73	.	.	PROPN
jbi-21742	61	74	2006	2006	NUM
jbi-21742	61	75	;	;	PUNCT
jbi-21742	61	76	liu	liu	PROPN
jbi-21742	61	77	et	et	PROPN
jbi-21742	61	78	al	al	PROPN
jbi-21742	61	79	.	.	PROPN
jbi-21742	61	80	2011	2011	NUM
jbi-21742	61	81	)	)	PUNCT
jbi-21742	61	82	.	.	PUNCT
jbi-21742	62	1	means	mean	NOUN
jbi-21742	62	2	and	and	CCONJ
jbi-21742	62	3	standard	standard	ADJ
jbi-21742	62	4	deviations	deviation	NOUN
jbi-21742	62	5	of	of	ADP
jbi-21742	62	6	these	these	DET
jbi-21742	62	7	metrics	metric	NOUN
jbi-21742	62	8	are	be	AUX
jbi-21742	62	9	calculated	calculate	VERB
jbi-21742	62	10	to	to	PART
jbi-21742	62	11	summarize	summarize	VERB
jbi-21742	62	12	the	the	DET
jbi-21742	62	13	model	model	NOUN
jbi-21742	62	14	’s	’s	PART
jbi-21742	62	15	predictive	predictive	ADJ
jbi-21742	62	16	performance	performance	NOUN
jbi-21742	62	17	and	and	CCONJ
jbi-21742	62	18	help	help	VERB
jbi-21742	62	19	to	to	PART
jbi-21742	62	20	select	select	VERB
jbi-21742	62	21	the	the	DET
jbi-21742	62	22	best	good	ADJ
jbi-21742	62	23	models	model	NOUN
jbi-21742	62	24	.	.	PUNCT
jbi-21742	63	1	the	the	DET
jbi-21742	63	2	second	second	ADJ
jbi-21742	63	3	approach	approach	NOUN
jbi-21742	63	4	uses	use	VERB
jbi-21742	63	5	the	the	DET
jbi-21742	63	6	akaike	akaike	ADJ
jbi-21742	63	7	information	information	NOUN
jbi-21742	63	8	criterion	criterion	NOUN
jbi-21742	63	9	(	(	PUNCT
jbi-21742	63	10	aic	aic	PROPN
jbi-21742	63	11	)	)	PUNCT
jbi-21742	63	12	(	(	PUNCT
jbi-21742	63	13	akaike	akaike	ADP
jbi-21742	63	14	1998	1998	NUM
jbi-21742	63	15	;	;	PUNCT
jbi-21742	63	16	warren	warren	PROPN
jbi-21742	63	17	and	and	CCONJ
jbi-21742	63	18	seifert	seifert	PROPN
jbi-21742	63	19	2011	2011	NUM
jbi-21742	63	20	;	;	PUNCT
jbi-21742	63	21	warren	warren	PROPN
jbi-21742	63	22	et	et	PROPN
jbi-21742	63	23	al	al	PROPN
jbi-21742	63	24	.	.	PROPN
jbi-21742	63	25	2014	2014	NUM
jbi-21742	63	26	)	)	PUNCT
jbi-21742	63	27	to	to	PART
jbi-21742	63	28	assess	assess	VERB
jbi-21742	63	29	model	model	NOUN
jbi-21742	63	30	goodness	goodness	PROPN
jbi-21742	63	31	-	-	PUNCT
jbi-21742	63	32	of	of	ADP
jbi-21742	63	33	-	-	PUNCT
jbi-21742	63	34	fit	fit	NOUN
jbi-21742	63	35	,	,	PUNCT
jbi-21742	63	36	accounting	account	VERB
jbi-21742	63	37	for	for	ADP
jbi-21742	63	38	model	model	NOUN
jbi-21742	63	39	complexity	complexity	NOUN
jbi-21742	63	40	.	.	PUNCT
jbi-21742	64	1	this	this	DET
jbi-21742	64	2	metric	metric	NOUN
jbi-21742	64	3	offers	offer	VERB
jbi-21742	64	4	a	a	DET
jbi-21742	64	5	relative	relative	ADJ
jbi-21742	64	6	quality	quality	NOUN
jbi-21742	64	7	measure	measure	NOUN
jbi-21742	64	8	to	to	ADP
jbi-21742	64	9	other	other	ADJ
jbi-21742	64	10	candidate	candidate	NOUN
jbi-21742	64	11	models	model	NOUN
jbi-21742	64	12	based	base	VERB
jbi-21742	64	13	on	on	ADP
jbi-21742	64	14	the	the	DET
jbi-21742	64	15	same	same	ADJ
jbi-21742	64	16	dataset	dataset	NOUN
jbi-21742	64	17	with	with	ADP
jbi-21742	64	18	different	different	ADJ
jbi-21742	64	19	parameters	parameter	NOUN
jbi-21742	64	20	.	.	PUNCT
jbi-21742	65	1	aic	aic	PROPN
jbi-21742	65	2	increases	increase	VERB
jbi-21742	65	3	with	with	ADP
jbi-21742	65	4	information	information	NOUN
jbi-21742	65	5	loss	loss	NOUN
jbi-21742	65	6	,	,	PUNCT
jbi-21742	65	7	so	so	SCONJ
jbi-21742	65	8	the	the	DET
jbi-21742	65	9	best	good	ADJ
jbi-21742	65	10	model	model	NOUN
jbi-21742	65	11	for	for	ADP
jbi-21742	65	12	a	a	DET
jbi-21742	65	13	set	set	NOUN
jbi-21742	65	14	of	of	ADP
jbi-21742	65	15	occurrence	occurrence	NOUN
jbi-21742	65	16	data	datum	NOUN
jbi-21742	65	17	is	be	AUX
jbi-21742	65	18	the	the	DET
jbi-21742	65	19	one	one	NUM
jbi-21742	65	20	with	with	ADP
jbi-21742	65	21	the	the	DET
jbi-21742	65	22	lowest	low	ADJ
jbi-21742	65	23	aic	aic	PROPN
jbi-21742	65	24	.	.	PUNCT
jbi-21742	66	1	to	to	PART
jbi-21742	66	2	compare	compare	VERB
jbi-21742	66	3	aic	aic	PROPN
jbi-21742	66	4	values	value	NOUN
jbi-21742	66	5	of	of	ADP
jbi-21742	66	6	multiple	multiple	ADJ
jbi-21742	66	7	models	model	NOUN
jbi-21742	66	8	directly	directly	ADV
jbi-21742	66	9	,	,	PUNCT
jbi-21742	66	10	we	we	PRON
jbi-21742	66	11	also	also	ADV
jbi-21742	66	12	calculate	calculate	VERB
jbi-21742	66	13	δaic	δaic	PROPN
jbi-21742	66	14	(	(	PUNCT
jbi-21742	66	15	wagenmakers	wagenmaker	NOUN
jbi-21742	66	16	and	and	CCONJ
jbi-21742	66	17	farrell	farrell	PROPN
jbi-21742	66	18	2004	2004	NUM
jbi-21742	66	19	)	)	PUNCT
jbi-21742	66	20	by	by	ADP
jbi-21742	66	21	subtracting	subtract	VERB
jbi-21742	66	22	the	the	DET
jbi-21742	66	23	aic	aic	PROPN
jbi-21742	66	24	of	of	ADP
jbi-21742	66	25	the	the	DET
jbi-21742	66	26	best	good	ADJ
jbi-21742	66	27	model	model	NOUN
jbi-21742	66	28	(	(	PUNCT
jbi-21742	66	29	the	the	DET
jbi-21742	66	30	one	one	NOUN
jbi-21742	66	31	with	with	ADP
jbi-21742	66	32	the	the	DET
jbi-21742	66	33	lowest	low	ADJ
jbi-21742	66	34	aic	aic	PROPN
jbi-21742	66	35	)	)	PUNCT
jbi-21742	66	36	from	from	ADP
jbi-21742	66	37	the	the	DET
jbi-21742	66	38	aic	aic	PROPN
jbi-21742	66	39	of	of	ADP
jbi-21742	66	40	each	each	DET
jbi-21742	66	41	model	model	NOUN
jbi-21742	66	42	being	be	AUX
jbi-21742	66	43	compared	compare	VERB
jbi-21742	66	44	,	,	PUNCT
jbi-21742	66	45	as	as	SCONJ
jbi-21742	66	46	follows	follow	VERB
jbi-21742	66	47	:	:	PUNCT
jbi-21742	66	48	δaici	δaici	NOUN
jbi-21742	66	49	=	=	PROPN
jbi-21742	66	50	aici	aici	PROPN
jbi-21742	66	51	−	−	PROPN
jbi-21742	66	52	aicmin	aicmin	NOUN
jbi-21742	66	53	.	.	PUNCT
jbi-21742	67	1	a	a	DET
jbi-21742	67	2	δaic	δaic	PROPN
jbi-21742	67	3	of	of	ADP
jbi-21742	67	4	0	0	NUM
jbi-21742	67	5	indicates	indicate	VERB
jbi-21742	67	6	that	that	SCONJ
jbi-21742	67	7	the	the	DET
jbi-21742	67	8	model	model	NOUN
jbi-21742	67	9	in	in	ADP
jbi-21742	67	10	question	question	NOUN
jbi-21742	67	11	is	be	AUX
jbi-21742	67	12	the	the	DET
jbi-21742	67	13	best	good	ADJ
jbi-21742	67	14	model	model	NOUN
jbi-21742	67	15	;	;	PUNCT
jbi-21742	67	16	models	model	NOUN
jbi-21742	67	17	with	with	ADP
jbi-21742	67	18	δaic	δaic	PROPN
jbi-21742	67	19	values	value	NOUN
jbi-21742	67	20	≤2	≤2	NOUN
jbi-21742	67	21	have	have	VERB
jbi-21742	67	22	substantial	substantial	ADJ
jbi-21742	67	23	support	support	NOUN
jbi-21742	67	24	,	,	PUNCT
jbi-21742	67	25	and	and	CCONJ
jbi-21742	67	26	can	can	AUX
jbi-21742	67	27	be	be	AUX
jbi-21742	67	28	considered	consider	VERB
jbi-21742	67	29	almost	almost	ADV
jbi-21742	67	30	as	as	ADV
jbi-21742	67	31	good	good	ADJ
jbi-21742	67	32	as	as	ADP
jbi-21742	67	33	those	those	PRON
jbi-21742	67	34	with	with	ADP
jbi-21742	67	35	the	the	DET
jbi-21742	67	36	lowest	low	ADJ
jbi-21742	67	37	aic	aic	PROPN
jbi-21742	67	38	.	.	PUNCT
jbi-21742	68	1	subsequently	subsequently	ADV
jbi-21742	68	2	,	,	PUNCT
jbi-21742	68	3	akaike	akaike	ADJ
jbi-21742	68	4	weights	weight	NOUN
jbi-21742	68	5	are	be	AUX
jbi-21742	68	6	derived	derive	VERB
jbi-21742	68	7	from	from	ADP
jbi-21742	68	8	δaic	δaic	PROPN
jbi-21742	68	9	for	for	ADP
jbi-21742	68	10	model	model	NOUN
jbi-21742	68	11	averaging	averaging	NOUN
jbi-21742	68	12	,	,	PUNCT
jbi-21742	68	13	representing	represent	VERB
jbi-21742	68	14	a	a	DET
jbi-21742	68	15	model	model	NOUN
jbi-21742	68	16	’s	’s	PART
jbi-21742	68	17	relative	relative	ADJ
jbi-21742	68	18	likelihood	likelihood	NOUN
jbi-21742	68	19	:	:	PUNCT
jbi-21742	68	20	akaike	akaike	ADJ
jbi-21742	68	21	weight	weight	NOUN
jbi-21742	68	22	(	(	PUNCT
jbi-21742	68	23	wi	wi	PROPN
jbi-21742	68	24	)	)	PUNCT
jbi-21742	68	25	is	be	AUX
jbi-21742	68	26	calculated	calculate	VERB
jbi-21742	68	27	as	as	ADP
jbi-21742	68	28	an	an	DET
jbi-21742	68	29	exponent	exponent	NOUN
jbi-21742	68	30	of	of	ADP
jbi-21742	68	31	the	the	DET
jbi-21742	68	32	negative	negative	ADJ
jbi-21742	68	33	half	half	NOUN
jbi-21742	68	34	of	of	ADP
jbi-21742	68	35	its	its	PRON
jbi-21742	68	36	δaic	δaic	PROPN
jbi-21742	68	37	value	value	NOUN
jbi-21742	68	38	,	,	PUNCT
jbi-21742	68	39	and	and	CCONJ
jbi-21742	68	40	the	the	DET
jbi-21742	68	41	relative	relative	ADJ
jbi-21742	68	42	likelihoods	likelihood	NOUN
jbi-21742	68	43	are	be	AUX
jbi-21742	68	44	normalized	normalize	VERB
jbi-21742	68	45	so	so	SCONJ
jbi-21742	68	46	that	that	SCONJ
jbi-21742	68	47	their	their	PRON
jbi-21742	68	48	sum	sum	NOUN
jbi-21742	68	49	across	across	ADP
jbi-21742	68	50	all	all	DET
jbi-21742	68	51	models	model	NOUN
jbi-21742	68	52	compared	compare	VERB
jbi-21742	68	53	equals	equal	VERB
jbi-21742	68	54	1	1	NUM
jbi-21742	68	55	.	.	PUNCT
jbi-21742	69	1	this	this	DET
jbi-21742	69	2	later	later	ADJ
jbi-21742	69	3	step	step	NOUN
jbi-21742	69	4	is	be	AUX
jbi-21742	69	5	achieved	achieve	VERB
jbi-21742	69	6	by	by	ADP
jbi-21742	69	7	dividing	divide	VERB
jbi-21742	69	8	the	the	DET
jbi-21742	69	9	relative	relative	ADJ
jbi-21742	69	10	likelihood	likelihood	NOUN
jbi-21742	69	11	of	of	ADP
jbi-21742	69	12	each	each	DET
jbi-21742	69	13	model	model	NOUN
jbi-21742	69	14	by	by	ADP
jbi-21742	69	15	the	the	DET
jbi-21742	69	16	sum	sum	NOUN
jbi-21742	69	17	of	of	ADP
jbi-21742	69	18	the	the	DET
jbi-21742	69	19	relative	relative	ADJ
jbi-21742	69	20	likelihoods	likelihood	NOUN
jbi-21742	69	21	for	for	ADP
jbi-21742	69	22	all	all	DET
jbi-21742	69	23	models	model	NOUN
jbi-21742	69	24	,	,	PUNCT
jbi-21742	69	25	producing	produce	VERB
jbi-21742	69	26	the	the	DET
jbi-21742	69	27	akaike	akaike	ADJ
jbi-21742	69	28	weight	weight	NOUN
jbi-21742	69	29	for	for	ADP
jbi-21742	69	30	each	each	DET
jbi-21742	69	31	model	model	NOUN
jbi-21742	69	32	.	.	PUNCT
jbi-21742	70	1	we	we	PRON
jbi-21742	70	2	note	note	VERB
jbi-21742	70	3	that	that	SCONJ
jbi-21742	70	4	the	the	DET
jbi-21742	70	5	implementation	implementation	NOUN
jbi-21742	70	6	of	of	ADP
jbi-21742	70	7	aic	aic	PROPN
jbi-21742	70	8	calculations	calculation	NOUN
jbi-21742	70	9	for	for	ADP
jbi-21742	70	10	glm	glm	NOUN
jbi-21742	70	11	consider	consider	VERB
jbi-21742	70	12	models	model	NOUN
jbi-21742	70	13	goodness	goodness	NOUN
jbi-21742	70	14	-	-	PUNCT
jbi-21742	70	15	of	of	ADP
jbi-21742	70	16	-	-	PUNCT
jbi-21742	70	17	fit	fit	NOUN
jbi-21742	70	18	,	,	PUNCT
jbi-21742	70	19	whereas	whereas	SCONJ
jbi-21742	70	20	that	that	PRON
jbi-21742	70	21	for	for	ADP
jbi-21742	70	22	maxent	maxent	NOUN
jbi-21742	70	23	,	,	PUNCT
jbi-21742	70	24	which	which	PRON
jbi-21742	70	25	has	have	AUX
jbi-21742	70	26	seen	see	VERB
jbi-21742	70	27	considerable	considerable	ADJ
jbi-21742	70	28	use	use	NOUN
jbi-21742	70	29	,	,	PUNCT
jbi-21742	70	30	aic	aic	PROPN
jbi-21742	70	31	is	be	AUX
jbi-21742	70	32	based	base	VERB
jbi-21742	70	33	on	on	ADP
jbi-21742	70	34	the	the	DET
jbi-21742	70	35	model	model	NOUN
jbi-21742	70	36	predictions	prediction	NOUN
jbi-21742	70	37	(	(	PUNCT
jbi-21742	70	38	warren	warren	NOUN
jbi-21742	70	39	and	and	CCONJ
jbi-21742	70	40	seifert	seifert	PROPN
jbi-21742	70	41	2011	2011	NUM
jbi-21742	70	42	)	)	PUNCT
jbi-21742	70	43	.	.	PUNCT
jbi-21742	71	1	finally	finally	ADV
jbi-21742	71	2	,	,	PUNCT
jbi-21742	71	3	enmpa	enmpa	NOUN
jbi-21742	71	4	incorporates	incorporate	VERB
jbi-21742	71	5	an	an	DET
jbi-21742	71	6	extra	extra	ADJ
jbi-21742	71	7	evaluation	evaluation	NOUN
jbi-21742	71	8	step	step	NOUN
jbi-21742	71	9	involving	involve	VERB
jbi-21742	71	10	analyzing	analyze	VERB
jbi-21742	71	11	the	the	DET
jbi-21742	71	12	response	response	NOUN
jbi-21742	71	13	curves	curve	NOUN
jbi-21742	71	14	of	of	ADP
jbi-21742	71	15	quadratic	quadratic	ADJ
jbi-21742	71	16	terms	term	NOUN
jbi-21742	71	17	.	.	PUNCT
jbi-21742	72	1	quadratic	quadratic	ADJ
jbi-21742	72	2	features	feature	NOUN
jbi-21742	72	3	are	be	AUX
jbi-21742	72	4	optimal	optimal	ADJ
jbi-21742	72	5	in	in	ADP
jbi-21742	72	6	studies	study	NOUN
jbi-21742	72	7	of	of	ADP
jbi-21742	72	8	responses	response	NOUN
jbi-21742	72	9	of	of	ADP
jbi-21742	72	10	species	specie	NOUN
jbi-21742	72	11	to	to	ADP
jbi-21742	72	12	variable	variable	ADJ
jbi-21742	72	13	gradients	gradient	NOUN
jbi-21742	72	14	,	,	PUNCT
jbi-21742	72	15	and	and	CCONJ
jbi-21742	72	16	fit	fit	ADJ
jbi-21742	72	17	well	well	ADV
jbi-21742	72	18	with	with	ADP
jbi-21742	72	19	ecological	ecological	ADJ
jbi-21742	72	20	niche	niche	NOUN
jbi-21742	72	21	theory	theory	NOUN
jbi-21742	72	22	(	(	PUNCT
jbi-21742	72	23	austin	austin	PROPN
jbi-21742	72	24	2007	2007	NUM
jbi-21742	72	25	;	;	PUNCT
jbi-21742	72	26	santika	santika	NOUN
jbi-21742	72	27	and	and	CCONJ
jbi-21742	72	28	hutchinson	hutchinson	PROPN
jbi-21742	72	29	2009	2009	NUM
jbi-21742	72	30	)	)	PUNCT
jbi-21742	72	31	.	.	PUNCT
jbi-21742	73	1	however	however	ADV
jbi-21742	73	2	,	,	PUNCT
jbi-21742	73	3	a	a	DET
jbi-21742	73	4	limitation	limitation	NOUN
jbi-21742	73	5	of	of	ADP
jbi-21742	73	6	quadratic	quadratic	ADJ
jbi-21742	73	7	features	feature	NOUN
jbi-21742	73	8	is	be	AUX
jbi-21742	73	9	that	that	SCONJ
jbi-21742	73	10	they	they	PRON
jbi-21742	73	11	can	can	AUX
jbi-21742	73	12	be	be	AUX
jbi-21742	73	13	concave	concave	VERB
jbi-21742	73	14	upward	upward	ADV
jbi-21742	73	15	,	,	PUNCT
jbi-21742	73	16	yielding	yield	VERB
jbi-21742	73	17	a	a	DET
jbi-21742	73	18	bimodal	bimodal	NOUN
jbi-21742	73	19	response	response	NOUN
jbi-21742	73	20	,	,	PUNCT
jbi-21742	73	21	which	which	PRON
jbi-21742	73	22	does	do	AUX
jbi-21742	73	23	not	not	PART
jbi-21742	73	24	fit	fit	VERB
jbi-21742	73	25	well	well	ADV
jbi-21742	73	26	with	with	ADP
jbi-21742	73	27	theory	theory	NOUN
jbi-21742	73	28	(	(	PUNCT
jbi-21742	73	29	austin	austin	PROPN
jbi-21742	73	30	2007	2007	NUM
jbi-21742	73	31	)	)	PUNCT
jbi-21742	73	32	.	.	PUNCT
jbi-21742	74	1	by	by	ADP
jbi-21742	74	2	investigating	investigate	VERB
jbi-21742	74	3	the	the	DET
jbi-21742	74	4	coefficients	coefficient	NOUN
jbi-21742	74	5	of	of	ADP
jbi-21742	74	6	a	a	DET
jbi-21742	74	7	second	second	ADJ
jbi-21742	74	8	-	-	PUNCT
jbi-21742	74	9	degree	degree	NOUN
jbi-21742	74	10	equation	equation	NOUN
jbi-21742	74	11	(	(	PUNCT
jbi-21742	74	12	y	y	NOUN
jbi-21742	74	13	=	=	SYM
jbi-21742	74	14	β0	β0	PROPN
jbi-21742	74	15	+	+	CCONJ
jbi-21742	74	16	β1x	β1x	NOUN
jbi-21742	74	17	+	+	CCONJ
jbi-21742	74	18	β2x	β2x	X
jbi-21742	74	19	2	2	NUM
jbi-21742	74	20	)	)	PUNCT
jbi-21742	74	21	,	,	PUNCT
jbi-21742	74	22	we	we	PRON
jbi-21742	74	23	can	can	AUX
jbi-21742	74	24	infer	infer	VERB
jbi-21742	74	25	the	the	DET
jbi-21742	74	26	shape	shape	NOUN
jbi-21742	74	27	of	of	ADP
jbi-21742	74	28	the	the	DET
jbi-21742	74	29	curve	curve	NOUN
jbi-21742	74	30	.	.	PUNCT
jbi-21742	75	1	a	a	DET
jbi-21742	75	2	positive	positive	ADJ
jbi-21742	75	3	β2	β2	NOUN
jbi-21742	75	4	suggests	suggest	VERB
jbi-21742	75	5	a	a	DET
jbi-21742	75	6	u	u	NOUN
jbi-21742	75	7	-	-	ADJ
jbi-21742	75	8	shaped	shape	VERB
jbi-21742	75	9	bimodal	bimodal	NOUN
jbi-21742	75	10	curve	curve	NOUN
jbi-21742	75	11	,	,	PUNCT
jbi-21742	75	12	while	while	SCONJ
jbi-21742	75	13	a	a	DET
jbi-21742	75	14	negative	negative	ADJ
jbi-21742	75	15	β2	β2	NOUN
jbi-21742	75	16	suggests	suggest	VERB
jbi-21742	75	17	a	a	DET
jbi-21742	75	18	gaussian	gaussian	ADV
jbi-21742	75	19	-	-	PUNCT
jbi-21742	75	20	shaped	shape	VERB
jbi-21742	75	21	unimodal	unimodal	ADJ
jbi-21742	75	22	curve	curve	NOUN
jbi-21742	75	23	.	.	PUNCT
jbi-21742	76	1	as	as	ADP
jbi-21742	76	2	such	such	ADJ
jbi-21742	76	3	,	,	PUNCT
jbi-21742	76	4	we	we	PRON
jbi-21742	76	5	implemented	implement	VERB
jbi-21742	76	6	a	a	DET
jbi-21742	76	7	filter	filter	NOUN
jbi-21742	76	8	to	to	PART
jbi-21742	76	9	retain	retain	VERB
jbi-21742	76	10	only	only	ADV
jbi-21742	76	11	those	those	DET
jbi-21742	76	12	candidate	candidate	NOUN
jbi-21742	76	13	models	model	NOUN
jbi-21742	76	14	in	in	ADP
jbi-21742	76	15	which	which	PRON
jbi-21742	76	16	any	any	DET
jbi-21742	76	17	quadratic	quadratic	ADJ
jbi-21742	76	18	responses	response	NOUN
jbi-21742	76	19	are	be	AUX
jbi-21742	76	20	β2	β2	ADJ
jbi-21742	76	21	-	-	PUNCT
jbi-21742	76	22	negative	negative	ADJ
jbi-21742	76	23	.	.	PUNCT
jbi-21742	77	1	model	model	NOUN
jbi-21742	77	2	selection	selection	NOUN
jbi-21742	77	3	to	to	PART
jbi-21742	77	4	choose	choose	VERB
jbi-21742	77	5	the	the	DET
jbi-21742	77	6	best	good	ADJ
jbi-21742	77	7	candidate	candidate	NOUN
jbi-21742	77	8	models	model	NOUN
jbi-21742	77	9	,	,	PUNCT
jbi-21742	77	10	we	we	PRON
jbi-21742	77	11	follow	follow	VERB
jbi-21742	77	12	a	a	DET
jbi-21742	77	13	set	set	NOUN
jbi-21742	77	14	of	of	ADP
jbi-21742	77	15	criteria	criterion	NOUN
jbi-21742	77	16	,	,	PUNCT
jbi-21742	77	17	which	which	PRON
jbi-21742	77	18	are	be	AUX
jbi-21742	77	19	prioritized	prioritize	VERB
jbi-21742	77	20	as	as	SCONJ
jbi-21742	77	21	follows	follow	VERB
jbi-21742	77	22	:	:	PUNCT
jbi-21742	77	23	(	(	PUNCT
jbi-21742	77	24	1	1	X
jbi-21742	77	25	)	)	PUNCT
jbi-21742	77	26	arias	aria	NOUN
jbi-21742	77	27	-	-	PUNCT
jbi-21742	77	28	giraldo	giraldo	PROPN
jbi-21742	77	29	et	et	PROPN
jbi-21742	77	30	al	al	PROPN
jbi-21742	77	31	.	.	PROPN
jbi-21742	77	32	–	–	PUNCT
jbi-21742	77	33	enmpa	enmpa	NOUN
jbi-21742	77	34	31	31	NUM
jbi-21742	77	35	we	we	PRON
jbi-21742	77	36	only	only	ADV
jbi-21742	77	37	consider	consider	VERB
jbi-21742	77	38	models	model	NOUN
jbi-21742	77	39	with	with	ADP
jbi-21742	77	40	roc	roc	NOUN
jbi-21742	77	41	-	-	PUNCT
jbi-21742	77	42	auc	auc	NOUN
jbi-21742	77	43	>	>	X
jbi-21742	77	44	0.5	0.5	NUM
jbi-21742	77	45	;	;	PUNCT
jbi-21742	77	46	(	(	PUNCT
jbi-21742	77	47	2	2	X
jbi-21742	77	48	)	)	PUNCT
jbi-21742	77	49	from	from	ADP
jbi-21742	77	50	among	among	ADP
jbi-21742	77	51	such	such	ADJ
jbi-21742	77	52	models	model	NOUN
jbi-21742	77	53	,	,	PUNCT
jbi-21742	77	54	we	we	PRON
jbi-21742	77	55	only	only	ADV
jbi-21742	77	56	keep	keep	VERB
jbi-21742	77	57	those	those	PRON
jbi-21742	77	58	that	that	PRON
jbi-21742	77	59	have	have	VERB
jbi-21742	77	60	an	an	DET
jbi-21742	77	61	acceptable	acceptable	ADJ
jbi-21742	77	62	predictive	predictive	ADJ
jbi-21742	77	63	ability	ability	NOUN
jbi-21742	77	64	(	(	PUNCT
jbi-21742	77	65	tss	tss	PROPN
jbi-21742	77	66	≥	≥	NUM
jbi-21742	77	67	0.4	0.4	NUM
jbi-21742	77	68	)	)	PUNCT
jbi-21742	77	69	;	;	PUNCT
jbi-21742	77	70	and	and	CCONJ
jbi-21742	77	71	(	(	PUNCT
jbi-21742	77	72	3	3	X
jbi-21742	77	73	)	)	PUNCT
jbi-21742	77	74	from	from	ADP
jbi-21742	77	75	among	among	ADP
jbi-21742	77	76	all	all	DET
jbi-21742	77	77	the	the	DET
jbi-21742	77	78	models	model	NOUN
jbi-21742	77	79	passing	pass	VERB
jbi-21742	77	80	the	the	DET
jbi-21742	77	81	first	first	ADJ
jbi-21742	77	82	two	two	NUM
jbi-21742	77	83	filters	filter	NOUN
jbi-21742	77	84	,	,	PUNCT
jbi-21742	77	85	we	we	PRON
jbi-21742	77	86	chose	choose	VERB
jbi-21742	77	87	those	those	PRON
jbi-21742	77	88	with	with	ADP
jbi-21742	77	89	good	good	ADJ
jbi-21742	77	90	fitting	fitting	ADJ
jbi-21742	77	91	and	and	CCONJ
jbi-21742	77	92	appropriate	appropriate	ADJ
jbi-21742	77	93	complexity	complexity	NOUN
jbi-21742	77	94	,	,	PUNCT
jbi-21742	77	95	those	those	PRON
jbi-21742	77	96	with	with	ADP
jbi-21742	77	97	δaic	δaic	PROPN
jbi-21742	77	98	≤	≤	ADJ
jbi-21742	77	99	2	2	NUM
jbi-21742	77	100	(	(	PUNCT
jbi-21742	77	101	burnham	burnham	PROPN
jbi-21742	77	102	and	and	CCONJ
jbi-21742	77	103	anderson	anderson	PROPN
jbi-21742	77	104	1998	1998	NUM
jbi-21742	77	105	)	)	PUNCT
jbi-21742	77	106	.	.	PUNCT
jbi-21742	78	1	in	in	ADP
jbi-21742	78	2	addition	addition	NOUN
jbi-21742	78	3	,	,	PUNCT
jbi-21742	78	4	enmpa	enmpa	NOUN
jbi-21742	78	5	includes	include	VERB
jbi-21742	78	6	an	an	DET
jbi-21742	78	7	optional	optional	ADJ
jbi-21742	78	8	filter	filter	NOUN
jbi-21742	78	9	that	that	PRON
jbi-21742	78	10	takes	take	VERB
jbi-21742	78	11	into	into	ADP
jbi-21742	78	12	account	account	NOUN
jbi-21742	78	13	the	the	DET
jbi-21742	78	14	shape	shape	NOUN
jbi-21742	78	15	of	of	ADP
jbi-21742	78	16	quadratic	quadratic	ADJ
jbi-21742	78	17	response	response	NOUN
jbi-21742	78	18	curves	curve	NOUN
jbi-21742	78	19	.	.	PUNCT
jbi-21742	79	1	users	user	NOUN
jbi-21742	79	2	have	have	VERB
jbi-21742	79	3	the	the	DET
jbi-21742	79	4	option	option	NOUN
jbi-21742	79	5	to	to	PART
jbi-21742	79	6	consider	consider	VERB
jbi-21742	79	7	only	only	ADJ
jbi-21742	79	8	models	model	NOUN
jbi-21742	79	9	with	with	ADP
jbi-21742	79	10	predictors	predictor	NOUN
jbi-21742	79	11	that	that	PRON
jbi-21742	79	12	have	have	VERB
jbi-21742	79	13	unimodal	unimodal	ADJ
jbi-21742	79	14	responses	response	NOUN
jbi-21742	79	15	.	.	PUNCT
jbi-21742	80	1	if	if	SCONJ
jbi-21742	80	2	this	this	DET
jbi-21742	80	3	filter	filter	NOUN
jbi-21742	80	4	is	be	AUX
jbi-21742	80	5	used	use	VERB
jbi-21742	80	6	,	,	PUNCT
jbi-21742	80	7	it	it	PRON
jbi-21742	80	8	is	be	AUX
jbi-21742	80	9	applied	apply	VERB
jbi-21742	80	10	before	before	ADP
jbi-21742	80	11	the	the	DET
jbi-21742	80	12	first	first	ADJ
jbi-21742	80	13	three	three	NUM
jbi-21742	80	14	filters	filter	NOUN
jbi-21742	80	15	.	.	PUNCT
jbi-21742	81	1	even	even	ADV
jbi-21742	81	2	if	if	SCONJ
jbi-21742	81	3	the	the	DET
jbi-21742	81	4	bimodal	bimodal	NOUN
jbi-21742	81	5	response	response	NOUN
jbi-21742	81	6	of	of	ADP
jbi-21742	81	7	species	specie	NOUN
jbi-21742	81	8	could	could	AUX
jbi-21742	81	9	have	have	VERB
jbi-21742	81	10	interesting	interesting	ADJ
jbi-21742	81	11	and	and	CCONJ
jbi-21742	81	12	meaningful	meaningful	ADJ
jbi-21742	81	13	interpretations	interpretation	NOUN
jbi-21742	81	14	,	,	PUNCT
jbi-21742	81	15	it	it	PRON
jbi-21742	81	16	is	be	AUX
jbi-21742	81	17	tricky	tricky	ADJ
jbi-21742	81	18	to	to	PART
jbi-21742	81	19	determine	determine	VERB
jbi-21742	81	20	optima	optima	PROPN
jbi-21742	81	21	and	and	CCONJ
jbi-21742	81	22	understand	understand	VERB
jbi-21742	81	23	species	specie	NOUN
jbi-21742	81	24	’	'	PUNCT
jbi-21742	81	25	tolerances	tolerance	NOUN
jbi-21742	81	26	,	,	PUNCT
jbi-21742	81	27	which	which	PRON
jbi-21742	81	28	need	need	VERB
jbi-21742	81	29	to	to	PART
jbi-21742	81	30	be	be	AUX
jbi-21742	81	31	evaluated	evaluate	VERB
jbi-21742	81	32	individually	individually	ADV
jbi-21742	81	33	for	for	ADP
jbi-21742	81	34	particular	particular	ADJ
jbi-21742	81	35	species	specie	NOUN
jbi-21742	81	36	.	.	PUNCT
jbi-21742	82	1	therefore	therefore	ADV
jbi-21742	82	2	,	,	PUNCT
jbi-21742	82	3	we	we	PRON
jbi-21742	82	4	recommend	recommend	VERB
jbi-21742	82	5	considering	consider	VERB
jbi-21742	82	6	only	only	ADJ
jbi-21742	82	7	models	model	NOUN
jbi-21742	82	8	with	with	ADP
jbi-21742	82	9	unimodal	unimodal	ADJ
jbi-21742	82	10	or	or	CCONJ
jbi-21742	82	11	monotonic	monotonic	ADJ
jbi-21742	82	12	responses	response	NOUN
jbi-21742	82	13	.	.	PUNCT
jbi-21742	83	1	variable	variable	ADJ
jbi-21742	83	2	contribution	contribution	NOUN
jbi-21742	83	3	and	and	CCONJ
jbi-21742	83	4	response	response	NOUN
jbi-21742	83	5	curves	curve	NOUN
jbi-21742	83	6	variable	variable	ADJ
jbi-21742	83	7	contribution	contribution	NOUN
jbi-21742	83	8	and	and	CCONJ
jbi-21742	83	9	analysis	analysis	NOUN
jbi-21742	83	10	response	response	NOUN
jbi-21742	83	11	curves	curve	NOUN
jbi-21742	83	12	are	be	AUX
jbi-21742	83	13	model	model	NOUN
jbi-21742	83	14	outputs	output	NOUN
jbi-21742	83	15	with	with	ADP
jbi-21742	83	16	practical	practical	ADJ
jbi-21742	83	17	relevance	relevance	NOUN
jbi-21742	83	18	to	to	ADP
jbi-21742	83	19	researchers	researcher	NOUN
jbi-21742	83	20	interested	interested	ADJ
jbi-21742	83	21	in	in	ADP
jbi-21742	83	22	interpreting	interpret	VERB
jbi-21742	83	23	model	model	NOUN
jbi-21742	83	24	outputs	output	NOUN
jbi-21742	83	25	.	.	PUNCT
jbi-21742	84	1	two	two	NUM
jbi-21742	84	2	well	well	ADV
jbi-21742	84	3	-	-	PUNCT
jbi-21742	84	4	established	establish	VERB
jbi-21742	84	5	methods	method	NOUN
jbi-21742	84	6	for	for	ADP
jbi-21742	84	7	determining	determine	VERB
jbi-21742	84	8	the	the	DET
jbi-21742	84	9	importance	importance	NOUN
jbi-21742	84	10	of	of	ADP
jbi-21742	84	11	predictor	predictor	NOUN
jbi-21742	84	12	variables	variable	NOUN
jbi-21742	84	13	in	in	ADP
jbi-21742	84	14	glms	glm	NOUN
jbi-21742	84	15	are	be	AUX
jbi-21742	84	16	used	use	VERB
jbi-21742	84	17	to	to	PART
jbi-21742	84	18	evaluate	evaluate	VERB
jbi-21742	84	19	the	the	DET
jbi-21742	84	20	individual	individual	ADJ
jbi-21742	84	21	contributions	contribution	NOUN
jbi-21742	84	22	of	of	ADP
jbi-21742	84	23	variables	variable	NOUN
jbi-21742	84	24	(	(	PUNCT
jbi-21742	84	25	murray	murray	NOUN
jbi-21742	84	26	and	and	CCONJ
jbi-21742	84	27	conner	conner	PROPN
jbi-21742	84	28	2009	2009	NUM
jbi-21742	84	29	)	)	PUNCT
jbi-21742	84	30	and	and	CCONJ
jbi-21742	84	31	visualize	visualize	VERB
jbi-21742	84	32	predicted	predict	VERB
jbi-21742	84	33	responses	response	NOUN
jbi-21742	84	34	of	of	ADP
jbi-21742	84	35	species	specie	NOUN
jbi-21742	84	36	to	to	ADP
jbi-21742	84	37	specific	specific	ADJ
jbi-21742	84	38	predictor	predictor	NOUN
jbi-21742	84	39	variables	variable	NOUN
jbi-21742	84	40	(	(	PUNCT
jbi-21742	84	41	elith	elith	ADP
jbi-21742	84	42	et	et	PROPN
jbi-21742	84	43	al	al	PROPN
jbi-21742	84	44	.	.	PROPN
jbi-21742	84	45	2005	2005	NUM
jbi-21742	84	46	)	)	PUNCT
jbi-21742	84	47	.	.	PUNCT
jbi-21742	85	1	a	a	DET
jbi-21742	85	2	response	response	NOUN
jbi-21742	85	3	curve	curve	NOUN
jbi-21742	85	4	represents	represent	VERB
jbi-21742	85	5	the	the	DET
jbi-21742	85	6	relationship	relationship	NOUN
jbi-21742	85	7	between	between	ADP
jbi-21742	85	8	the	the	DET
jbi-21742	85	9	probability	probability	NOUN
jbi-21742	85	10	of	of	ADP
jbi-21742	85	11	occurrence	occurrence	NOUN
jbi-21742	85	12	of	of	ADP
jbi-21742	85	13	a	a	DET
jbi-21742	85	14	species	species	NOUN
jbi-21742	85	15	(	(	PUNCT
jbi-21742	85	16	dependent	dependent	ADJ
jbi-21742	85	17	variable	variable	NOUN
jbi-21742	85	18	)	)	PUNCT
jbi-21742	85	19	and	and	CCONJ
jbi-21742	85	20	environmental	environmental	ADJ
jbi-21742	85	21	variables	variable	NOUN
jbi-21742	85	22	(	(	PUNCT
jbi-21742	85	23	independent	independent	ADJ
jbi-21742	85	24	variables	variable	NOUN
jbi-21742	85	25	)	)	PUNCT
jbi-21742	85	26	included	include	VERB
jbi-21742	85	27	in	in	ADP
jbi-21742	85	28	the	the	DET
jbi-21742	85	29	model	model	NOUN
jbi-21742	85	30	.	.	PUNCT
jbi-21742	86	1	this	this	DET
jbi-21742	86	2	curve	curve	NOUN
jbi-21742	86	3	describes	describe	VERB
jbi-21742	86	4	the	the	DET
jbi-21742	86	5	predicted	predict	VERB
jbi-21742	86	6	probabilities	probability	NOUN
jbi-21742	86	7	across	across	ADP
jbi-21742	86	8	a	a	DET
jbi-21742	86	9	range	range	NOUN
jbi-21742	86	10	of	of	ADP
jbi-21742	86	11	values	value	NOUN
jbi-21742	86	12	for	for	ADP
jbi-21742	86	13	a	a	DET
jbi-21742	86	14	given	give	VERB
jbi-21742	86	15	environmental	environmental	ADJ
jbi-21742	86	16	variable	variable	NOUN
jbi-21742	86	17	.	.	PUNCT
jbi-21742	87	1	the	the	DET
jbi-21742	87	2	enmpa	enmpa	NOUN
jbi-21742	87	3	package	package	NOUN
jbi-21742	87	4	calculates	calculate	VERB
jbi-21742	87	5	the	the	DET
jbi-21742	87	6	probabilities	probability	NOUN
jbi-21742	87	7	along	along	ADP
jbi-21742	87	8	a	a	DET
jbi-21742	87	9	single	single	ADJ
jbi-21742	87	10	environmental	environmental	ADJ
jbi-21742	87	11	gradient	gradient	NOUN
jbi-21742	87	12	to	to	PART
jbi-21742	87	13	estimate	estimate	VERB
jbi-21742	87	14	response	response	NOUN
jbi-21742	87	15	curves	curve	NOUN
jbi-21742	87	16	while	while	SCONJ
jbi-21742	87	17	holding	hold	VERB
jbi-21742	87	18	all	all	DET
jbi-21742	87	19	other	other	ADJ
jbi-21742	87	20	gradients	gradient	NOUN
jbi-21742	87	21	constant	constant	ADJ
jbi-21742	87	22	at	at	ADP
jbi-21742	87	23	their	their	PRON
jbi-21742	87	24	mean	mean	ADJ
jbi-21742	87	25	values	value	NOUN
jbi-21742	87	26	(	(	PUNCT
jbi-21742	87	27	elith	elith	ADP
jbi-21742	87	28	et	et	PROPN
jbi-21742	87	29	al	al	PROPN
jbi-21742	87	30	.	.	PROPN
jbi-21742	87	31	2005	2005	NUM
jbi-21742	87	32	)	)	PUNCT
jbi-21742	87	33	.	.	PUNCT
jbi-21742	88	1	to	to	PART
jbi-21742	88	2	identify	identify	VERB
jbi-21742	88	3	the	the	DET
jbi-21742	88	4	most	most	ADV
jbi-21742	88	5	relevant	relevant	ADJ
jbi-21742	88	6	predictors	predictor	NOUN
jbi-21742	88	7	in	in	ADP
jbi-21742	88	8	our	our	PRON
jbi-21742	88	9	models	model	NOUN
jbi-21742	88	10	,	,	PUNCT
jbi-21742	88	11	we	we	PRON
jbi-21742	88	12	use	use	VERB
jbi-21742	88	13	a	a	DET
jbi-21742	88	14	variable	variable	ADJ
jbi-21742	88	15	contribution	contribution	NOUN
jbi-21742	88	16	analysis	analysis	NOUN
jbi-21742	88	17	based	base	VERB
jbi-21742	88	18	on	on	ADP
jbi-21742	88	19	the	the	DET
jbi-21742	88	20	deviance	deviance	NOUN
jbi-21742	88	21	explained	explain	VERB
jbi-21742	88	22	by	by	ADP
jbi-21742	88	23	predictors	predictor	NOUN
jbi-21742	88	24	relative	relative	ADJ
jbi-21742	88	25	to	to	ADP
jbi-21742	88	26	the	the	DET
jbi-21742	88	27	complete	complete	ADJ
jbi-21742	88	28	model	model	NOUN
jbi-21742	88	29	deviance	deviance	NOUN
jbi-21742	88	30	(	(	PUNCT
jbi-21742	88	31	guisan	guisan	NOUN
jbi-21742	88	32	and	and	CCONJ
jbi-21742	88	33	zimmermann	zimmermann	PROPN
jbi-21742	88	34	2000	2000	NUM
jbi-21742	88	35	;	;	PUNCT
jbi-21742	88	36	clouvel	clouvel	NOUN
jbi-21742	88	37	et	et	PROPN
jbi-21742	88	38	al	al	PROPN
jbi-21742	88	39	.	.	PROPN
jbi-21742	88	40	2023	2023	NUM
jbi-21742	88	41	)	)	PUNCT
jbi-21742	88	42	.	.	PUNCT
jbi-21742	89	1	deviance	deviance	NOUN
jbi-21742	89	2	is	be	AUX
jbi-21742	89	3	a	a	DET
jbi-21742	89	4	measure	measure	NOUN
jbi-21742	89	5	of	of	ADP
jbi-21742	89	6	the	the	DET
jbi-21742	89	7	model	model	NOUN
jbi-21742	89	8	’s	’s	PART
jbi-21742	89	9	lack	lack	NOUN
jbi-21742	89	10	of	of	ADP
jbi-21742	89	11	fit	fit	ADJ
jbi-21742	89	12	,	,	PUNCT
jbi-21742	89	13	so	so	ADV
jbi-21742	89	14	a	a	DET
jbi-21742	89	15	decrease	decrease	NOUN
jbi-21742	89	16	in	in	ADP
jbi-21742	89	17	deviance	deviance	NOUN
jbi-21742	89	18	indicates	indicate	VERB
jbi-21742	89	19	an	an	DET
jbi-21742	89	20	improvement	improvement	NOUN
jbi-21742	89	21	in	in	ADP
jbi-21742	89	22	model	model	NOUN
jbi-21742	89	23	fit	fit	ADJ
jbi-21742	89	24	when	when	SCONJ
jbi-21742	89	25	a	a	DET
jbi-21742	89	26	predictor	predictor	NOUN
jbi-21742	89	27	variable	variable	NOUN
jbi-21742	89	28	is	be	AUX
jbi-21742	89	29	included	include	VERB
jbi-21742	89	30	.	.	PUNCT
jbi-21742	90	1	to	to	PART
jbi-21742	90	2	assess	assess	VERB
jbi-21742	90	3	predictor	predictor	NOUN
jbi-21742	90	4	importance	importance	NOUN
jbi-21742	90	5	,	,	PUNCT
jbi-21742	90	6	then	then	ADV
jbi-21742	90	7	,	,	PUNCT
jbi-21742	90	8	we	we	PRON
jbi-21742	90	9	implemented	implement	VERB
jbi-21742	90	10	the	the	DET
jbi-21742	90	11	following	follow	VERB
jbi-21742	90	12	procedure	procedure	NOUN
jbi-21742	90	13	:	:	PUNCT
jbi-21742	90	14	(	(	PUNCT
jbi-21742	90	15	1	1	X
jbi-21742	90	16	)	)	PUNCT
jbi-21742	90	17	a	a	DET
jbi-21742	90	18	glm	glm	NOUN
jbi-21742	90	19	including	include	VERB
jbi-21742	90	20	all	all	DET
jbi-21742	90	21	predictors	predictor	NOUN
jbi-21742	90	22	is	be	AUX
jbi-21742	90	23	fitted	fit	VERB
jbi-21742	90	24	;	;	PUNCT
jbi-21742	90	25	(	(	PUNCT
jbi-21742	90	26	2	2	X
jbi-21742	90	27	)	)	PUNCT
jbi-21742	90	28	the	the	DET
jbi-21742	90	29	initial	initial	ADJ
jbi-21742	90	30	deviance	deviance	NOUN
jbi-21742	90	31	is	be	AUX
jbi-21742	90	32	calculated	calculate	VERB
jbi-21742	90	33	;	;	PUNCT
jbi-21742	90	34	(	(	PUNCT
jbi-21742	90	35	3	3	X
jbi-21742	90	36	)	)	PUNCT
jbi-21742	90	37	each	each	DET
jbi-21742	90	38	predictor	predictor	NOUN
jbi-21742	90	39	is	be	AUX
jbi-21742	90	40	removed	remove	VERB
jbi-21742	90	41	iteratively	iteratively	ADV
jbi-21742	90	42	from	from	ADP
jbi-21742	90	43	the	the	DET
jbi-21742	90	44	model	model	NOUN
jbi-21742	90	45	,	,	PUNCT
jbi-21742	90	46	and	and	CCONJ
jbi-21742	90	47	a	a	DET
jbi-21742	90	48	new	new	ADJ
jbi-21742	90	49	deviance	deviance	NOUN
jbi-21742	90	50	is	be	AUX
jbi-21742	90	51	calculated	calculate	VERB
jbi-21742	90	52	;	;	PUNCT
jbi-21742	90	53	(	(	PUNCT
jbi-21742	90	54	4	4	X
jbi-21742	90	55	)	)	PUNCT
jbi-21742	90	56	the	the	DET
jbi-21742	90	57	decrease	decrease	NOUN
jbi-21742	90	58	in	in	ADP
jbi-21742	90	59	deviance	deviance	NOUN
jbi-21742	90	60	after	after	ADP
jbi-21742	90	61	adding	add	VERB
jbi-21742	90	62	each	each	DET
jbi-21742	90	63	predictor	predictor	NOUN
jbi-21742	90	64	is	be	AUX
jbi-21742	90	65	calculated	calculate	VERB
jbi-21742	90	66	;	;	PUNCT
jbi-21742	90	67	(	(	PUNCT
jbi-21742	90	68	5	5	X
jbi-21742	90	69	)	)	PUNCT
jbi-21742	90	70	the	the	DET
jbi-21742	90	71	decrease	decrease	NOUN
jbi-21742	90	72	in	in	ADP
jbi-21742	90	73	deviance	deviance	NOUN
jbi-21742	90	74	is	be	AUX
jbi-21742	90	75	normalized	normalize	VERB
jbi-21742	90	76	and	and	CCONJ
jbi-21742	90	77	expressed	express	VERB
jbi-21742	90	78	as	as	ADP
jbi-21742	90	79	a	a	DET
jbi-21742	90	80	ratio	ratio	NOUN
jbi-21742	90	81	;	;	PUNCT
jbi-21742	90	82	and	and	CCONJ
jbi-21742	90	83	(	(	PUNCT
jbi-21742	90	84	6	6	NUM
jbi-21742	90	85	)	)	PUNCT
jbi-21742	90	86	predictors	predictor	NOUN
jbi-21742	90	87	are	be	AUX
jbi-21742	90	88	ranked	rank	VERB
jbi-21742	90	89	based	base	VERB
jbi-21742	90	90	on	on	ADP
jbi-21742	90	91	how	how	SCONJ
jbi-21742	90	92	they	they	PRON
jbi-21742	90	93	help	help	VERB
jbi-21742	90	94	to	to	PART
jbi-21742	90	95	decrease	decrease	VERB
jbi-21742	90	96	model	model	NOUN
jbi-21742	90	97	deviance	deviance	NOUN
jbi-21742	90	98	:	:	PUNCT
jbi-21742	90	99	variables	variable	NOUN
jbi-21742	90	100	with	with	ADP
jbi-21742	90	101	higher	high	ADJ
jbi-21742	90	102	ratios	ratio	NOUN
jbi-21742	90	103	are	be	AUX
jbi-21742	90	104	considered	consider	VERB
jbi-21742	90	105	more	more	ADV
jbi-21742	90	106	important	important	ADJ
jbi-21742	90	107	for	for	ADP
jbi-21742	90	108	the	the	DET
jbi-21742	90	109	model	model	NOUN
jbi-21742	90	110	.	.	PUNCT
jbi-21742	91	1	model	model	NOUN
jbi-21742	91	2	projections	projection	NOUN
jbi-21742	91	3	the	the	DET
jbi-21742	91	4	enmpa	enmpa	NOUN
jbi-21742	91	5	package	package	NOUN
jbi-21742	91	6	facilitates	facilitate	VERB
jbi-21742	91	7	transferring	transfer	VERB
jbi-21742	91	8	selected	select	VERB
jbi-21742	91	9	models	model	NOUN
jbi-21742	91	10	to	to	ADP
jbi-21742	91	11	different	different	ADJ
jbi-21742	91	12	areas	area	NOUN
jbi-21742	91	13	or	or	CCONJ
jbi-21742	91	14	scenarios	scenario	NOUN
jbi-21742	91	15	,	,	PUNCT
jbi-21742	91	16	with	with	ADP
jbi-21742	91	17	three	three	NUM
jbi-21742	91	18	options	option	NOUN
jbi-21742	91	19	:	:	PUNCT
jbi-21742	91	20	free	free	ADJ
jbi-21742	91	21	extrapolation	extrapolation	NOUN
jbi-21742	91	22	,	,	PUNCT
jbi-21742	91	23	extrapolation	extrapolation	NOUN
jbi-21742	91	24	with	with	ADP
jbi-21742	91	25	clamping	clamping	NOUN
jbi-21742	91	26	,	,	PUNCT
jbi-21742	91	27	and	and	CCONJ
jbi-21742	91	28	no	no	DET
jbi-21742	91	29	extrapolation	extrapolation	NOUN
jbi-21742	91	30	.	.	PUNCT
jbi-21742	92	1	these	these	DET
jbi-21742	92	2	options	option	NOUN
jbi-21742	92	3	are	be	AUX
jbi-21742	92	4	available	available	ADJ
jbi-21742	92	5	for	for	ADP
jbi-21742	92	6	all	all	DET
jbi-21742	92	7	variables	variable	NOUN
jbi-21742	92	8	or	or	CCONJ
jbi-21742	92	9	for	for	ADP
jbi-21742	92	10	just	just	ADV
jbi-21742	92	11	selected	select	VERB
jbi-21742	92	12	variables	variable	NOUN
jbi-21742	92	13	.	.	PUNCT
jbi-21742	93	1	when	when	SCONJ
jbi-21742	93	2	using	use	VERB
jbi-21742	93	3	free	free	ADJ
jbi-21742	93	4	extrapolation	extrapolation	NOUN
jbi-21742	93	5	,	,	PUNCT
jbi-21742	93	6	predictions	prediction	NOUN
jbi-21742	93	7	will	will	AUX
jbi-21742	93	8	follow	follow	VERB
jbi-21742	93	9	the	the	DET
jbi-21742	93	10	response	response	NOUN
jbi-21742	93	11	patterns	pattern	NOUN
jbi-21742	93	12	when	when	SCONJ
jbi-21742	93	13	variable	variable	ADJ
jbi-21742	93	14	values	value	NOUN
jbi-21742	93	15	are	be	AUX
jbi-21742	93	16	outside	outside	ADP
jbi-21742	93	17	the	the	DET
jbi-21742	93	18	ranges	range	NOUN
jbi-21742	93	19	of	of	ADP
jbi-21742	93	20	the	the	DET
jbi-21742	93	21	environmental	environmental	ADJ
jbi-21742	93	22	data	datum	NOUN
jbi-21742	93	23	under	under	ADP
jbi-21742	93	24	which	which	PRON
jbi-21742	93	25	models	model	NOUN
jbi-21742	93	26	were	be	AUX
jbi-21742	93	27	calibrated	calibrate	VERB
jbi-21742	93	28	.	.	PUNCT
jbi-21742	94	1	in	in	ADP
jbi-21742	94	2	contrast	contrast	NOUN
jbi-21742	94	3	,	,	PUNCT
jbi-21742	94	4	extrapolation	extrapolation	NOUN
jbi-21742	94	5	with	with	ADP
jbi-21742	94	6	clamping	clamping	NOUN
jbi-21742	94	7	limits	limit	VERB
jbi-21742	94	8	the	the	DET
jbi-21742	94	9	response	response	NOUN
jbi-21742	94	10	to	to	ADP
jbi-21742	94	11	the	the	DET
jbi-21742	94	12	level	level	NOUN
jbi-21742	94	13	manifested	manifest	VERB
jbi-21742	94	14	at	at	ADP
jbi-21742	94	15	the	the	DET
jbi-21742	94	16	boundaries	boundary	NOUN
jbi-21742	94	17	of	of	ADP
jbi-21742	94	18	calibration	calibration	NOUN
jbi-21742	94	19	values	value	NOUN
jbi-21742	94	20	.	.	PUNCT
jbi-21742	95	1	model	model	NOUN
jbi-21742	95	2	consensus	consensus	NOUN
jbi-21742	95	3	one	one	NUM
jbi-21742	95	4	way	way	NOUN
jbi-21742	95	5	of	of	ADP
jbi-21742	95	6	selecting	select	VERB
jbi-21742	95	7	a	a	DET
jbi-21742	95	8	model	model	NOUN
jbi-21742	95	9	is	be	AUX
jbi-21742	95	10	to	to	PART
jbi-21742	95	11	choose	choose	VERB
jbi-21742	95	12	the	the	DET
jbi-21742	95	13	“	"	PUNCT
jbi-21742	95	14	best	good	ADJ
jbi-21742	95	15	”	"	PUNCT
jbi-21742	95	16	one	one	NUM
jbi-21742	95	17	for	for	ADP
jbi-21742	95	18	the	the	DET
jbi-21742	95	19	data	datum	NOUN
jbi-21742	95	20	based	base	VERB
jbi-21742	95	21	on	on	ADP
jbi-21742	95	22	one	one	NUM
jbi-21742	95	23	or	or	CCONJ
jbi-21742	95	24	a	a	DET
jbi-21742	95	25	set	set	NOUN
jbi-21742	95	26	of	of	ADP
jbi-21742	95	27	predictive	predictive	ADJ
jbi-21742	95	28	performance	performance	NOUN
jbi-21742	95	29	metrics	metric	NOUN
jbi-21742	95	30	(	(	PUNCT
jbi-21742	95	31	elith	elith	ADP
jbi-21742	95	32	et	et	PROPN
jbi-21742	95	33	al	al	PROPN
jbi-21742	95	34	.	.	PROPN
jbi-21742	95	35	2006	2006	NUM
jbi-21742	95	36	)	)	PUNCT
jbi-21742	95	37	.	.	PUNCT
jbi-21742	96	1	however	however	ADV
jbi-21742	96	2	,	,	PUNCT
jbi-21742	96	3	an	an	DET
jbi-21742	96	4	alternative	alternative	ADJ
jbi-21742	96	5	method	method	NOUN
jbi-21742	96	6	is	be	AUX
jbi-21742	96	7	to	to	PART
jbi-21742	96	8	use	use	VERB
jbi-21742	96	9	a	a	DET
jbi-21742	96	10	consensus	consensus	NOUN
jbi-21742	96	11	of	of	ADP
jbi-21742	96	12	models	model	NOUN
jbi-21742	96	13	(	(	PUNCT
jbi-21742	96	14	thuiller	thuiller	NOUN
jbi-21742	96	15	2003	2003	NUM
jbi-21742	96	16	;	;	PUNCT
jbi-21742	96	17	qiao	qiao	PROPN
jbi-21742	96	18	et	et	PROPN
jbi-21742	96	19	al	al	PROPN
jbi-21742	96	20	.	.	PROPN
jbi-21742	96	21	2015	2015	NUM
jbi-21742	96	22	)	)	PUNCT
jbi-21742	96	23	.	.	PUNCT
jbi-21742	97	1	consensus	consensus	NOUN
jbi-21742	97	2	approaches	approach	NOUN
jbi-21742	97	3	may	may	AUX
jbi-21742	97	4	provide	provide	VERB
jbi-21742	97	5	more	more	ADJ
jbi-21742	97	6	robust	robust	ADJ
jbi-21742	97	7	predictions	prediction	NOUN
jbi-21742	97	8	by	by	ADP
jbi-21742	97	9	leveraging	leverage	VERB
jbi-21742	97	10	the	the	DET
jbi-21742	97	11	general	general	ADJ
jbi-21742	97	12	agreement	agreement	NOUN
jbi-21742	97	13	among	among	ADP
jbi-21742	97	14	models	model	NOUN
jbi-21742	97	15	with	with	ADP
jbi-21742	97	16	similar	similar	ADJ
jbi-21742	97	17	performance	performance	NOUN
jbi-21742	97	18	.	.	PUNCT
jbi-21742	98	1	a	a	DET
jbi-21742	98	2	consensus	consensus	NOUN
jbi-21742	98	3	result	result	NOUN
jbi-21742	98	4	can	can	AUX
jbi-21742	98	5	be	be	AUX
jbi-21742	98	6	calculated	calculate	VERB
jbi-21742	98	7	as	as	ADP
jbi-21742	98	8	the	the	DET
jbi-21742	98	9	mean	mean	ADJ
jbi-21742	98	10	,	,	PUNCT
jbi-21742	98	11	median	median	ADJ
jbi-21742	98	12	,	,	PUNCT
jbi-21742	98	13	or	or	CCONJ
jbi-21742	98	14	weighted	weight	VERB
jbi-21742	98	15	average	average	NOUN
jbi-21742	98	16	of	of	ADP
jbi-21742	98	17	any	any	DET
jbi-21742	98	18	set	set	NOUN
jbi-21742	98	19	of	of	ADP
jbi-21742	98	20	models	model	NOUN
jbi-21742	98	21	.	.	PUNCT
jbi-21742	99	1	mean	mean	VERB
jbi-21742	99	2	and	and	CCONJ
jbi-21742	99	3	median	median	ADJ
jbi-21742	99	4	results	result	NOUN
jbi-21742	99	5	are	be	AUX
jbi-21742	99	6	calculated	calculate	VERB
jbi-21742	99	7	using	use	VERB
jbi-21742	99	8	the	the	DET
jbi-21742	99	9	predictions	prediction	NOUN
jbi-21742	99	10	of	of	ADP
jbi-21742	99	11	all	all	DET
jbi-21742	99	12	selected	select	VERB
jbi-21742	99	13	models	model	NOUN
jbi-21742	99	14	,	,	PUNCT
jbi-21742	99	15	whereas	whereas	SCONJ
jbi-21742	99	16	a	a	DET
jbi-21742	99	17	weighted	weight	VERB
jbi-21742	99	18	average	average	NOUN
jbi-21742	99	19	is	be	AUX
jbi-21742	99	20	calculated	calculate	VERB
jbi-21742	99	21	using	use	VERB
jbi-21742	99	22	these	these	DET
jbi-21742	99	23	predictions	prediction	NOUN
jbi-21742	99	24	and	and	CCONJ
jbi-21742	99	25	the	the	DET
jbi-21742	99	26	aic	aic	PROPN
jbi-21742	99	27	weights	weight	VERB
jbi-21742	99	28	for	for	ADP
jbi-21742	99	29	each	each	DET
jbi-21742	99	30	model	model	NOUN
jbi-21742	99	31	.	.	PUNCT
jbi-21742	100	1	models	model	NOUN
jbi-21742	100	2	with	with	ADP
jbi-21742	100	3	higher	high	ADJ
jbi-21742	100	4	aic	aic	PROPN
jbi-21742	100	5	weights	weight	NOUN
jbi-21742	100	6	contribute	contribute	VERB
jbi-21742	100	7	more	more	ADV
jbi-21742	100	8	to	to	ADP
jbi-21742	100	9	the	the	DET
jbi-21742	100	10	consensus	consensus	NOUN
jbi-21742	100	11	when	when	SCONJ
jbi-21742	100	12	the	the	DET
jbi-21742	100	13	weighted	weight	VERB
jbi-21742	100	14	average	average	ADJ
jbi-21742	100	15	option	option	NOUN
jbi-21742	100	16	is	be	AUX
jbi-21742	100	17	used	use	VERB
jbi-21742	100	18	.	.	PUNCT
jbi-21742	101	1	model	model	NOUN
jbi-21742	101	2	evaluation	evaluation	NOUN
jbi-21742	101	3	with	with	ADP
jbi-21742	101	4	independent	independent	ADJ
jbi-21742	101	5	data	datum	NOUN
jbi-21742	101	6	ideally	ideally	ADV
jbi-21742	101	7	,	,	PUNCT
jbi-21742	101	8	the	the	DET
jbi-21742	101	9	final	final	ADJ
jbi-21742	101	10	model	model	NOUN
jbi-21742	101	11	should	should	AUX
jbi-21742	101	12	be	be	AUX
jbi-21742	101	13	evaluated	evaluate	VERB
jbi-21742	101	14	using	use	VERB
jbi-21742	101	15	independent	independent	ADJ
jbi-21742	101	16	test	test	NOUN
jbi-21742	101	17	data	datum	NOUN
jbi-21742	101	18	,	,	PUNCT
jbi-21742	101	19	although	although	SCONJ
jbi-21742	101	20	it	it	PRON
jbi-21742	101	21	is	be	AUX
jbi-21742	101	22	often	often	ADV
jbi-21742	101	23	challenging	challenge	VERB
jbi-21742	101	24	to	to	PART
jbi-21742	101	25	find	find	VERB
jbi-21742	101	26	data	datum	NOUN
jbi-21742	101	27	independent	independent	ADJ
jbi-21742	101	28	from	from	ADP
jbi-21742	101	29	those	those	PRON
jbi-21742	101	30	used	use	VERB
jbi-21742	101	31	to	to	PART
jbi-21742	101	32	create	create	VERB
jbi-21742	101	33	the	the	DET
jbi-21742	101	34	models	model	NOUN
jbi-21742	101	35	(	(	PUNCT
jbi-21742	101	36	araújo	araújo	NOUN
jbi-21742	101	37	and	and	CCONJ
jbi-21742	101	38	guisan	guisan	NOUN
jbi-21742	101	39	2006	2006	NUM
jbi-21742	101	40	;	;	PUNCT
jbi-21742	101	41	peterson	peterson	PROPN
jbi-21742	101	42	et	et	PROPN
jbi-21742	101	43	al	al	PROPN
jbi-21742	101	44	.	.	PROPN
jbi-21742	101	45	2011	2011	NUM
jbi-21742	101	46	)	)	PUNCT
jbi-21742	101	47	.	.	PUNCT
jbi-21742	102	1	in	in	ADP
jbi-21742	102	2	cases	case	NOUN
jbi-21742	102	3	in	in	ADP
jbi-21742	102	4	which	which	PRON
jbi-21742	102	5	independent	independent	ADJ
jbi-21742	102	6	data	datum	NOUN
jbi-21742	102	7	are	be	AUX
jbi-21742	102	8	available	available	ADJ
jbi-21742	102	9	,	,	PUNCT
jbi-21742	102	10	enmpa	enmpa	NOUN
jbi-21742	102	11	facilitates	facilitate	VERB
jbi-21742	102	12	evaluation	evaluation	NOUN
jbi-21742	102	13	of	of	ADP
jbi-21742	102	14	final	final	ADJ
jbi-21742	102	15	model	model	NOUN
jbi-21742	102	16	predictions	prediction	NOUN
jbi-21742	102	17	.	.	PUNCT
jbi-21742	103	1	users	user	NOUN
jbi-21742	103	2	can	can	AUX
jbi-21742	103	3	provide	provide	VERB
jbi-21742	103	4	presence	presence	NOUN
jbi-21742	103	5	-	-	PUNCT
jbi-21742	103	6	absence	absence	NOUN
jbi-21742	103	7	or	or	CCONJ
jbi-21742	103	8	arias	aria	NOUN
jbi-21742	103	9	-	-	PUNCT
jbi-21742	103	10	giraldo	giraldo	NOUN
jbi-21742	103	11	et	et	PROPN
jbi-21742	103	12	al	al	PROPN
jbi-21742	103	13	.	.	PROPN
jbi-21742	103	14	–	–	PUNCT
jbi-21742	103	15	enmpa	enmpa	NOUN
jbi-21742	103	16	32	32	NUM
jbi-21742	103	17	functions	function	NOUN
jbi-21742	103	18	group	group	NOUN
jbi-21742	103	19	description	description	NOUN
jbi-21742	103	20	niche_signal	niche_signal	PROPN
jbi-21742	103	21	&	&	CCONJ
jbi-21742	103	22	plot	plot	PROPN
jbi-21742	103	23	_	_	PUNCT
jbi-21742	104	1	niche_signal	niche_signal	ADJ
jbi-21742	104	2	analysis/	analysis/	NUM
jbi-21742	104	3	visualization	visualization	NOUN
jbi-21742	104	4	this	this	DET
jbi-21742	104	5	implementation	implementation	NOUN
jbi-21742	104	6	determines	determine	VERB
jbi-21742	104	7	the	the	DET
jbi-21742	104	8	detectability	detectability	NOUN
jbi-21742	104	9	of	of	ADP
jbi-21742	104	10	a	a	DET
jbi-21742	104	11	niche	niche	NOUN
jbi-21742	104	12	signal	signal	NOUN
jbi-21742	104	13	by	by	ADP
jbi-21742	104	14	analyzing	analyze	VERB
jbi-21742	104	15	one	one	NUM
jbi-21742	104	16	or	or	CCONJ
jbi-21742	104	17	multiple	multiple	ADJ
jbi-21742	104	18	variables	variable	NOUN
jbi-21742	104	19	.	.	PUNCT
jbi-21742	105	1	it	it	PRON
jbi-21742	105	2	is	be	AUX
jbi-21742	105	3	based	base	VERB
jbi-21742	105	4	on	on	ADP
jbi-21742	105	5	the	the	DET
jbi-21742	105	6	methodologies	methodology	NOUN
jbi-21742	105	7	introduced	introduce	VERB
jbi-21742	105	8	by	by	ADP
jbi-21742	105	9	cobos	cobos	PROPN
jbi-21742	105	10	&	&	CCONJ
jbi-21742	105	11	peterson	peterson	PROPN
jbi-21742	105	12	(	(	PUNCT
jbi-21742	105	13	2022	2022	NUM
jbi-21742	105	14	)	)	PUNCT
jbi-21742	105	15	,	,	PUNCT
jbi-21742	105	16	specifically	specifically	ADV
jbi-21742	105	17	tailored	tailor	VERB
jbi-21742	105	18	for	for	ADP
jbi-21742	105	19	discerning	discern	VERB
jbi-21742	105	20	niche	niche	NOUN
jbi-21742	105	21	signals	signal	NOUN
jbi-21742	105	22	in	in	ADP
jbi-21742	105	23	presence	presence	NOUN
jbi-21742	105	24	-	-	PUNCT
jbi-21742	105	25	absence	absence	NOUN
jbi-21742	105	26	data	datum	NOUN
jbi-21742	105	27	.	.	PUNCT
jbi-21742	106	1	a	a	DET
jbi-21742	106	2	niche	niche	NOUN
jbi-21742	106	3	signal	signal	NOUN
jbi-21742	106	4	is	be	AUX
jbi-21742	106	5	defined	define	VERB
jbi-21742	106	6	as	as	ADP
jbi-21742	106	7	the	the	DET
jbi-21742	106	8	non	non	ADJ
jbi-21742	106	9	-	-	ADJ
jbi-21742	106	10	random	random	ADJ
jbi-21742	106	11	pattern	pattern	NOUN
jbi-21742	106	12	in	in	ADP
jbi-21742	106	13	species	species	NOUN
jbi-21742	106	14	detection	detection	NOUN
jbi-21742	106	15	concerning	concern	VERB
jbi-21742	106	16	environmental	environmental	ADJ
jbi-21742	106	17	dimensions	dimension	NOUN
jbi-21742	106	18	,	,	PUNCT
jbi-21742	106	19	taking	take	VERB
jbi-21742	106	20	sampling	sample	VERB
jbi-21742	106	21	into	into	ADP
jbi-21742	106	22	account	account	NOUN
jbi-21742	106	23	.	.	PUNCT
jbi-21742	107	1	the	the	DET
jbi-21742	107	2	accompanying	accompany	VERB
jbi-21742	107	3	function	function	NOUN
jbi-21742	107	4	generates	generate	VERB
jbi-21742	107	5	plots	plot	NOUN
jbi-21742	107	6	to	to	PART
jbi-21742	107	7	facilitate	facilitate	VERB
jbi-21742	107	8	interpreting	interpreting	NOUN
jbi-21742	107	9	results	result	NOUN
jbi-21742	107	10	obtained	obtain	VERB
jbi-21742	107	11	from	from	ADP
jbi-21742	107	12	niche_signal	niche_signal	ADJ
jbi-21742	107	13	tests	test	NOUN
jbi-21742	107	14	.	.	PUNCT
jbi-21742	108	1	get_formulas	get_formula	NOUN
jbi-21742	108	2	analysis	analysis	NOUN
jbi-21742	108	3	provides	provide	VERB
jbi-21742	108	4	a	a	DET
jbi-21742	108	5	simple	simple	ADJ
jbi-21742	108	6	and	and	CCONJ
jbi-21742	108	7	efficient	efficient	ADJ
jbi-21742	108	8	way	way	NOUN
jbi-21742	108	9	to	to	PART
jbi-21742	108	10	create	create	VERB
jbi-21742	108	11	a	a	DET
jbi-21742	108	12	comprehensive	comprehensive	ADJ
jbi-21742	108	13	set	set	NOUN
jbi-21742	108	14	of	of	ADP
jbi-21742	108	15	standardized	standardized	ADJ
jbi-21742	108	16	glm	glm	NOUN
jbi-21742	108	17	formulas	formula	NOUN
jbi-21742	108	18	for	for	ADP
jbi-21742	108	19	statistical	statistical	ADJ
jbi-21742	108	20	models	model	NOUN
jbi-21742	108	21	.	.	PUNCT
jbi-21742	109	1	with	with	ADP
jbi-21742	109	2	this	this	DET
jbi-21742	109	3	function	function	NOUN
jbi-21742	109	4	,	,	PUNCT
jbi-21742	109	5	users	user	NOUN
jbi-21742	109	6	can	can	AUX
jbi-21742	109	7	explore	explore	VERB
jbi-21742	109	8	the	the	DET
jbi-21742	109	9	entire	entire	ADJ
jbi-21742	109	10	range	range	NOUN
jbi-21742	109	11	of	of	ADP
jbi-21742	109	12	formula	formula	NOUN
jbi-21742	109	13	combinations	combination	NOUN
jbi-21742	109	14	.	.	PUNCT
jbi-21742	110	1	it	it	PRON
jbi-21742	110	2	considers	consider	VERB
jbi-21742	110	3	the	the	DET
jbi-21742	110	4	following	follow	VERB
jbi-21742	110	5	feature	feature	NOUN
jbi-21742	110	6	classes	class	NOUN
jbi-21742	110	7	:	:	PUNCT
jbi-21742	110	8	linear	linear	INTJ
jbi-21742	110	9	(	(	PUNCT
jbi-21742	110	10	l	l	NOUN
jbi-21742	110	11	)	)	PUNCT
jbi-21742	110	12	,	,	PUNCT
jbi-21742	110	13	quadratic	quadratic	ADJ
jbi-21742	110	14	(	(	PUNCT
jbi-21742	110	15	q	q	NOUN
jbi-21742	110	16	)	)	PUNCT
jbi-21742	110	17	,	,	PUNCT
jbi-21742	110	18	and	and	CCONJ
jbi-21742	110	19	product	product	NOUN
jbi-21742	110	20	(	(	PUNCT
jbi-21742	110	21	p	p	NOUN
jbi-21742	110	22	)	)	PUNCT
jbi-21742	110	23	responses	response	NOUN
jbi-21742	110	24	.	.	PUNCT
jbi-21742	111	1	model_validation	model_validation	NOUN
jbi-21742	111	2	analysis	analysis	NOUN
jbi-21742	111	3	evaluates	evaluate	VERB
jbi-21742	111	4	a	a	DET
jbi-21742	111	5	glm	glm	PROPN
jbi-21742	111	6	model	model	NOUN
jbi-21742	111	7	using	use	VERB
jbi-21742	111	8	an	an	DET
jbi-21742	111	9	entire	entire	ADJ
jbi-21742	111	10	data	datum	NOUN
jbi-21742	111	11	set	set	VERB
jbi-21742	111	12	or	or	CCONJ
jbi-21742	111	13	with	with	ADP
jbi-21742	111	14	a	a	DET
jbi-21742	111	15	k	k	ADJ
jbi-21742	111	16	-	-	ADJ
jbi-21742	111	17	fold	fold	ADJ
jbi-21742	111	18	cross	cross	ADJ
jbi-21742	111	19	-	-	ADJ
jbi-21742	111	20	validation	validation	ADJ
jbi-21742	111	21	procedure	procedure	NOUN
jbi-21742	111	22	.	.	PUNCT
jbi-21742	112	1	models	model	NOUN
jbi-21742	112	2	are	be	AUX
jbi-21742	112	3	assessed	assess	VERB
jbi-21742	112	4	based	base	VERB
jbi-21742	112	5	on	on	ADP
jbi-21742	112	6	discrimination	discrimination	NOUN
jbi-21742	112	7	ability	ability	NOUN
jbi-21742	112	8	(	(	PUNCT
jbi-21742	112	9	roc	roc	NOUN
jbi-21742	112	10	-	-	PUNCT
jbi-21742	112	11	auc	auc	NOUN
jbi-21742	112	12	)	)	PUNCT
jbi-21742	112	13	,	,	PUNCT
jbi-21742	112	14	classification	classification	NOUN
jbi-21742	112	15	capability	capability	NOUN
jbi-21742	112	16	(	(	PUNCT
jbi-21742	112	17	fpr	fpr	NOUN
jbi-21742	112	18	,	,	PUNCT
jbi-21742	112	19	accuracy	accuracy	NOUN
jbi-21742	112	20	,	,	PUNCT
jbi-21742	112	21	sensitivity	sensitivity	NOUN
jbi-21742	112	22	,	,	PUNCT
jbi-21742	112	23	specificity	specificity	NOUN
jbi-21742	112	24	,	,	PUNCT
jbi-21742	112	25	and	and	CCONJ
jbi-21742	112	26	tss	tss	NOUN
jbi-21742	112	27	)	)	PUNCT
jbi-21742	112	28	,	,	PUNCT
jbi-21742	112	29	and	and	CCONJ
jbi-21742	112	30	the	the	DET
jbi-21742	112	31	balance	balance	NOUN
jbi-21742	112	32	between	between	ADP
jbi-21742	112	33	goodness	goodness	NOUN
jbi-21742	112	34	-	-	PUNCT
jbi-21742	112	35	of	of	ADP
jbi-21742	112	36	-	-	PUNCT
jbi-21742	112	37	fit	fit	NOUN
jbi-21742	112	38	and	and	CCONJ
jbi-21742	112	39	complexity	complexity	NOUN
jbi-21742	112	40	(	(	PUNCT
jbi-21742	112	41	aicc	aicc	NOUN
jbi-21742	112	42	)	)	PUNCT
jbi-21742	112	43	.	.	PUNCT
jbi-21742	113	1	optimize_metrics	optimize_metric	NOUN
jbi-21742	113	2	analysis	analysis	NOUN
jbi-21742	113	3	finds	find	VERB
jbi-21742	113	4	threshold	threshold	NOUN
jbi-21742	113	5	values	value	NOUN
jbi-21742	113	6	to	to	PART
jbi-21742	113	7	produce	produce	VERB
jbi-21742	113	8	three	three	NUM
jbi-21742	113	9	optimal	optimal	ADJ
jbi-21742	113	10	metrics	metric	NOUN
jbi-21742	113	11	.	.	PUNCT
jbi-21742	114	1	the	the	DET
jbi-21742	114	2	metrics	metric	NOUN
jbi-21742	114	3	true	true	ADJ
jbi-21742	114	4	skill	skill	NOUN
jbi-21742	114	5	statistic	statistic	NOUN
jbi-21742	114	6	(	(	PUNCT
jbi-21742	114	7	tss	tss	NOUN
jbi-21742	114	8	)	)	PUNCT
jbi-21742	114	9	,	,	PUNCT
jbi-21742	114	10	sensitivity	sensitivity	NOUN
jbi-21742	114	11	,	,	PUNCT
jbi-21742	114	12	and	and	CCONJ
jbi-21742	114	13	specificity	specificity	NOUN
jbi-21742	114	14	are	be	AUX
jbi-21742	114	15	explored	explore	VERB
jbi-21742	114	16	by	by	ADP
jbi-21742	114	17	comparing	compare	VERB
jbi-21742	114	18	actual	actual	ADJ
jbi-21742	114	19	vs	vs	ADP
jbi-21742	114	20	predicted	predict	VERB
jbi-21742	114	21	values	value	NOUN
jbi-21742	114	22	to	to	PART
jbi-21742	114	23	find	find	VERB
jbi-21742	114	24	threshold	threshold	NOUN
jbi-21742	114	25	values	value	NOUN
jbi-21742	114	26	that	that	PRON
jbi-21742	114	27	produce	produce	VERB
jbi-21742	114	28	sensitivity	sensitivity	NOUN
jbi-21742	114	29	=	=	SYM
jbi-21742	114	30	specificity	specificity	NOUN
jbi-21742	114	31	,	,	PUNCT
jbi-21742	114	32	maximum	maximum	ADJ
jbi-21742	114	33	tss	tss	NOUN
jbi-21742	114	34	,	,	PUNCT
jbi-21742	114	35	and	and	CCONJ
jbi-21742	114	36	a	a	DET
jbi-21742	114	37	sensitivity	sensitivity	NOUN
jbi-21742	114	38	value	value	NOUN
jbi-21742	114	39	of	of	ADP
jbi-21742	114	40	0.9	0.9	NUM
jbi-21742	114	41	.	.	PUNCT
jbi-21742	115	1	calibration_glm	calibration_glm	NOUN
jbi-21742	115	2	analysis	analysis	NOUN
jbi-21742	115	3	wrapped	wrap	VERB
jbi-21742	115	4	function	function	NOUN
jbi-21742	115	5	that	that	SCONJ
jbi-21742	115	6	automates	automate	NOUN
jbi-21742	115	7	and	and	CCONJ
jbi-21742	115	8	simplifies	simplifie	NOUN
jbi-21742	115	9	the	the	DET
jbi-21742	115	10	exploration	exploration	NOUN
jbi-21742	115	11	,	,	PUNCT
jbi-21742	115	12	fitting	fitting	ADJ
jbi-21742	115	13	,	,	PUNCT
jbi-21742	115	14	evaluation	evaluation	NOUN
jbi-21742	115	15	,	,	PUNCT
jbi-21742	115	16	and	and	CCONJ
jbi-21742	115	17	selection	selection	NOUN
jbi-21742	115	18	of	of	ADP
jbi-21742	115	19	robust	robust	ADJ
jbi-21742	115	20	models	model	NOUN
jbi-21742	115	21	in	in	ADP
jbi-21742	115	22	the	the	DET
jbi-21742	115	23	entire	entire	ADJ
jbi-21742	115	24	parameter	parameter	NOUN
jbi-21742	115	25	space	space	NOUN
jbi-21742	115	26	.	.	PUNCT
jbi-21742	116	1	fit_selected	fit_selecte	VERB
jbi-21742	116	2	&	&	CCONJ
jbi-21742	116	3	predict	predict	VERB
jbi-21742	116	4	_	_	NOUN
jbi-21742	116	5	selected	select	VERB
jbi-21742	116	6	analysis	analysis	NOUN
jbi-21742	116	7	the	the	DET
jbi-21742	116	8	initial	initial	ADJ
jbi-21742	116	9	function	function	NOUN
jbi-21742	116	10	streamlines	streamline	VERB
jbi-21742	116	11	the	the	DET
jbi-21742	116	12	process	process	NOUN
jbi-21742	116	13	of	of	ADP
jbi-21742	116	14	fitting	fitting	ADJ
jbi-21742	116	15	numerous	numerous	ADJ
jbi-21742	116	16	generalized	generalized	ADJ
jbi-21742	116	17	linear	linear	NOUN
jbi-21742	116	18	models	model	NOUN
jbi-21742	116	19	(	(	PUNCT
jbi-21742	116	20	glms	glm	NOUN
jbi-21742	116	21	)	)	PUNCT
jbi-21742	116	22	,	,	PUNCT
jbi-21742	116	23	while	while	SCONJ
jbi-21742	116	24	the	the	DET
jbi-21742	116	25	subsequent	subsequent	ADJ
jbi-21742	116	26	function	function	NOUN
jbi-21742	116	27	aids	aid	NOUN
jbi-21742	116	28	in	in	ADP
jbi-21742	116	29	forecasting	forecast	VERB
jbi-21742	116	30	the	the	DET
jbi-21742	116	31	chosen	choose	VERB
jbi-21742	116	32	models	model	NOUN
jbi-21742	116	33	across	across	ADP
jbi-21742	116	34	diverse	diverse	ADJ
jbi-21742	116	35	time	time	NOUN
jbi-21742	116	36	frames	frame	NOUN
jbi-21742	116	37	or	or	CCONJ
jbi-21742	116	38	geographic	geographic	ADJ
jbi-21742	116	39	areas	area	NOUN
jbi-21742	116	40	.	.	PUNCT
jbi-21742	117	1	within	within	ADP
jbi-21742	117	2	the	the	DET
jbi-21742	117	3	predict_selected	predict_selected	ADJ
jbi-21742	117	4	function	function	NOUN
jbi-21742	117	5	,	,	PUNCT
jbi-21742	117	6	two	two	NUM
jbi-21742	117	7	options	option	NOUN
jbi-21742	117	8	,	,	PUNCT
jbi-21742	117	9	clamping	clamp	VERB
jbi-21742	117	10	and	and	CCONJ
jbi-21742	117	11	no	no	DET
jbi-21742	117	12	extrapolation	extrapolation	NOUN
jbi-21742	117	13	,	,	PUNCT
jbi-21742	117	14	are	be	AUX
jbi-21742	117	15	integrated	integrate	VERB
jbi-21742	117	16	to	to	PART
jbi-21742	117	17	mitigate	mitigate	VERB
jbi-21742	117	18	potential	potential	ADJ
jbi-21742	117	19	undesired	undesired	ADJ
jbi-21742	117	20	extrapolation	extrapolation	NOUN
jbi-21742	117	21	effects	effect	NOUN
jbi-21742	117	22	when	when	SCONJ
jbi-21742	117	23	fresh	fresh	ADJ
jbi-21742	117	24	data	datum	NOUN
jbi-21742	117	25	extends	extend	VERB
jbi-21742	117	26	beyond	beyond	ADP
jbi-21742	117	27	the	the	DET
jbi-21742	117	28	calibrated	calibrate	VERB
jbi-21742	117	29	range	range	NOUN
jbi-21742	117	30	of	of	ADP
jbi-21742	117	31	the	the	DET
jbi-21742	117	32	model	model	NOUN
jbi-21742	117	33	.	.	PUNCT
jbi-21742	118	1	furthermore	furthermore	ADV
jbi-21742	118	2	,	,	PUNCT
jbi-21742	118	3	this	this	DET
jbi-21742	118	4	tool	tool	NOUN
jbi-21742	118	5	can	can	AUX
jbi-21742	118	6	construct	construct	VERB
jbi-21742	118	7	consensus	consensus	NOUN
jbi-21742	118	8	models	model	NOUN
jbi-21742	118	9	derived	derive	VERB
jbi-21742	118	10	from	from	ADP
jbi-21742	118	11	the	the	DET
jbi-21742	118	12	predicted	predict	VERB
jbi-21742	118	13	models	model	NOUN
jbi-21742	118	14	.	.	PUNCT
jbi-21742	119	1	this	this	DET
jbi-21742	119	2	consensus	consensus	NOUN
jbi-21742	119	3	is	be	AUX
jbi-21742	119	4	formed	form	VERB
jbi-21742	119	5	by	by	ADP
jbi-21742	119	6	employing	employ	VERB
jbi-21742	119	7	statistical	statistical	ADJ
jbi-21742	119	8	metrics	metric	NOUN
jbi-21742	119	9	such	such	ADJ
jbi-21742	119	10	as	as	ADP
jbi-21742	119	11	mean	mean	ADJ
jbi-21742	119	12	,	,	PUNCT
jbi-21742	119	13	median	median	NOUN
jbi-21742	119	14	,	,	PUNCT
jbi-21742	119	15	or	or	CCONJ
jbi-21742	119	16	weighted	weight	VERB
jbi-21742	119	17	mean	mean	NOUN
jbi-21742	119	18	.	.	PUNCT
jbi-21742	120	1	var_importance	var_importance	NOUN
jbi-21742	120	2	&	&	CCONJ
jbi-21742	120	3	plot	plot	NOUN
jbi-21742	120	4	_	_	PRON
jbi-21742	120	5	importance	importance	NOUN
jbi-21742	120	6	analysis/	analysis/	NUM
jbi-21742	120	7	visualization	visualization	NOUN
jbi-21742	120	8	the	the	DET
jbi-21742	120	9	initial	initial	ADJ
jbi-21742	120	10	function	function	NOUN
jbi-21742	120	11	computes	compute	VERB
jbi-21742	120	12	the	the	DET
jbi-21742	120	13	relevance	relevance	NOUN
jbi-21742	120	14	of	of	ADP
jbi-21742	120	15	predictor	predictor	NOUN
jbi-21742	120	16	variables	variable	NOUN
jbi-21742	120	17	based	base	VERB
jbi-21742	120	18	on	on	ADP
jbi-21742	120	19	explained	explain	VERB
jbi-21742	120	20	deviance	deviance	NOUN
jbi-21742	120	21	.	.	PUNCT
jbi-21742	121	1	the	the	DET
jbi-21742	121	2	second	second	ADJ
jbi-21742	121	3	function	function	NOUN
jbi-21742	121	4	generates	generate	VERB
jbi-21742	121	5	straightforward	straightforward	ADJ
jbi-21742	121	6	graphics	graphic	NOUN
jbi-21742	121	7	demonstrating	demonstrate	VERB
jbi-21742	121	8	the	the	DET
jbi-21742	121	9	outcomes	outcome	NOUN
jbi-21742	121	10	for	for	ADP
jbi-21742	121	11	single	single	ADJ
jbi-21742	121	12	or	or	CCONJ
jbi-21742	121	13	multiple	multiple	ADJ
jbi-21742	121	14	models	model	NOUN
jbi-21742	121	15	.	.	PUNCT
jbi-21742	122	1	these	these	DET
jbi-21742	122	2	visuals	visual	NOUN
jbi-21742	122	3	represent	represent	VERB
jbi-21742	122	4	the	the	DET
jbi-21742	122	5	relative	relative	ADJ
jbi-21742	122	6	importance	importance	NOUN
jbi-21742	122	7	of	of	ADP
jbi-21742	122	8	each	each	DET
jbi-21742	122	9	predictor	predictor	NOUN
jbi-21742	122	10	variable	variable	NOUN
jbi-21742	122	11	within	within	ADP
jbi-21742	122	12	a	a	DET
jbi-21742	122	13	model	model	NOUN
jbi-21742	122	14	,	,	PUNCT
jbi-21742	122	15	facilitating	facilitate	VERB
jbi-21742	122	16	a	a	DET
jbi-21742	122	17	comparison	comparison	NOUN
jbi-21742	122	18	of	of	ADP
jbi-21742	122	19	their	their	PRON
jbi-21742	122	20	contributions	contribution	NOUN
jbi-21742	122	21	across	across	ADP
jbi-21742	122	22	various	various	ADJ
jbi-21742	122	23	models	model	NOUN
jbi-21742	122	24	.	.	PUNCT
jbi-21742	123	1	response_curve	response_curve	NOUN
jbi-21742	123	2	visualization	visualization	NOUN
jbi-21742	123	3	visualization	visualization	NOUN
jbi-21742	123	4	of	of	ADP
jbi-21742	123	5	the	the	DET
jbi-21742	123	6	response	response	NOUN
jbi-21742	123	7	of	of	ADP
jbi-21742	123	8	a	a	DET
jbi-21742	123	9	variable	variable	NOUN
jbi-21742	123	10	based	base	VERB
jbi-21742	123	11	on	on	ADP
jbi-21742	123	12	a	a	DET
jbi-21742	123	13	single	single	ADJ
jbi-21742	123	14	model	model	NOUN
jbi-21742	123	15	or	or	CCONJ
jbi-21742	123	16	multiple	multiple	ADJ
jbi-21742	123	17	models	model	NOUN
jbi-21742	123	18	.	.	PUNCT
jbi-21742	124	1	it	it	PRON
jbi-21742	124	2	illustrates	illustrate	VERB
jbi-21742	124	3	the	the	DET
jbi-21742	124	4	probabilities	probability	NOUN
jbi-21742	124	5	of	of	ADP
jbi-21742	124	6	species	specie	NOUN
jbi-21742	124	7	presence	presence	NOUN
jbi-21742	124	8	across	across	ADP
jbi-21742	124	9	a	a	DET
jbi-21742	124	10	diverse	diverse	ADJ
jbi-21742	124	11	range	range	NOUN
jbi-21742	124	12	of	of	ADP
jbi-21742	124	13	values	value	NOUN
jbi-21742	124	14	for	for	ADP
jbi-21742	124	15	a	a	DET
jbi-21742	124	16	specific	specific	ADJ
jbi-21742	124	17	environmental	environmental	ADJ
jbi-21742	124	18	variable	variable	NOUN
jbi-21742	124	19	.	.	PUNCT
jbi-21742	125	1	this	this	DET
jbi-21742	125	2	visualization	visualization	NOUN
jbi-21742	125	3	enhances	enhance	VERB
jbi-21742	125	4	understanding	understanding	NOUN
jbi-21742	125	5	of	of	ADP
jbi-21742	125	6	how	how	SCONJ
jbi-21742	125	7	species	specie	NOUN
jbi-21742	125	8	occur	occur	VERB
jbi-21742	125	9	as	as	ADP
jbi-21742	125	10	a	a	DET
jbi-21742	125	11	function	function	NOUN
jbi-21742	125	12	of	of	ADP
jbi-21742	125	13	the	the	DET
jbi-21742	125	14	environmental	environmental	ADJ
jbi-21742	125	15	conditions	condition	NOUN
jbi-21742	125	16	captured	capture	VERB
jbi-21742	125	17	by	by	ADP
jbi-21742	125	18	the	the	DET
jbi-21742	125	19	variable	variable	NOUN
jbi-21742	125	20	.	.	PUNCT
jbi-21742	126	1	independent_eval1	independent_eval1	NOUN
jbi-21742	126	2	&	&	CCONJ
jbi-21742	126	3	independent_eval01	independent_eval01	PROPN
jbi-21742	126	4	analysis	analysis	NOUN
jbi-21742	126	5	these	these	DET
jbi-21742	126	6	functions	function	NOUN
jbi-21742	126	7	evaluate	evaluate	VERB
jbi-21742	126	8	models	model	NOUN
jbi-21742	126	9	using	use	VERB
jbi-21742	126	10	independent	independent	ADJ
jbi-21742	126	11	datasets	dataset	NOUN
jbi-21742	126	12	,	,	PUNCT
jbi-21742	126	13	generating	generate	VERB
jbi-21742	126	14	tailored	tailor	VERB
jbi-21742	126	15	metrics	metric	NOUN
jbi-21742	126	16	for	for	ADP
jbi-21742	126	17	the	the	DET
jbi-21742	126	18	specific	specific	ADJ
jbi-21742	126	19	occurrence	occurrence	NOUN
jbi-21742	126	20	data	datum	NOUN
jbi-21742	126	21	available	available	ADJ
jbi-21742	126	22	.	.	PUNCT
jbi-21742	127	1	for	for	ADP
jbi-21742	127	2	presence	presence	NOUN
jbi-21742	127	3	-	-	PUNCT
jbi-21742	127	4	only	only	ADV
jbi-21742	127	5	data	datum	NOUN
jbi-21742	127	6	,	,	PUNCT
jbi-21742	127	7	the	the	DET
jbi-21742	127	8	evaluation	evaluation	NOUN
jbi-21742	127	9	includes	include	VERB
jbi-21742	127	10	partial	partial	ADJ
jbi-21742	127	11	roc	roc	NOUN
jbi-21742	127	12	and	and	CCONJ
jbi-21742	127	13	omission	omission	NOUN
jbi-21742	127	14	error	error	NOUN
jbi-21742	127	15	metrics	metric	NOUN
jbi-21742	127	16	.	.	PUNCT
jbi-21742	128	1	for	for	ADP
jbi-21742	128	2	presence	presence	NOUN
jbi-21742	128	3	-	-	PUNCT
jbi-21742	128	4	absence	absence	NOUN
jbi-21742	128	5	data	datum	NOUN
jbi-21742	128	6	,	,	PUNCT
jbi-21742	128	7	it	it	PRON
jbi-21742	128	8	focuses	focus	VERB
jbi-21742	128	9	on	on	ADP
jbi-21742	128	10	the	the	DET
jbi-21742	128	11	auc	auc	NOUN
jbi-21742	128	12	-	-	PUNCT
jbi-21742	128	13	roc	roc	NOUN
jbi-21742	128	14	curve	curve	NOUN
jbi-21742	128	15	and	and	CCONJ
jbi-21742	128	16	classification	classification	NOUN
jbi-21742	128	17	capability	capability	NOUN
jbi-21742	128	18	,	,	PUNCT
jbi-21742	128	19	assessed	assess	VERB
jbi-21742	128	20	through	through	ADP
jbi-21742	128	21	a	a	DET
jbi-21742	128	22	confusion	confusion	NOUN
jbi-21742	128	23	matrix	matrix	NOUN
jbi-21742	128	24	and	and	CCONJ
jbi-21742	128	25	three	three	NUM
jbi-21742	128	26	threshold	threshold	NOUN
jbi-21742	128	27	criteria	criterion	NOUN
jbi-21742	128	28	:	:	PUNCT
jbi-21742	128	29	maxtss	maxtss	VERB
jbi-21742	128	30	,	,	PUNCT
jbi-21742	128	31	ess	ess	NOUN
jbi-21742	128	32	,	,	PUNCT
jbi-21742	128	33	and	and	CCONJ
jbi-21742	128	34	sen90	sen90	ADJ
jbi-21742	128	35	.	.	NOUN
jbi-21742	128	36	table	table	NOUN
jbi-21742	128	37	1	1	NUM
jbi-21742	128	38	.	.	PUNCT
jbi-21742	128	39	description	description	NOUN
jbi-21742	128	40	of	of	ADP
jbi-21742	128	41	the	the	DET
jbi-21742	128	42	main	main	ADJ
jbi-21742	128	43	functions	function	NOUN
jbi-21742	128	44	included	include	VERB
jbi-21742	128	45	in	in	ADP
jbi-21742	128	46	the	the	DET
jbi-21742	128	47	r	r	NOUN
jbi-21742	128	48	package	package	NOUN
jbi-21742	128	49	enmpa	enmpa	NOUN
jbi-21742	128	50	.	.	PUNCT
jbi-21742	129	1	arias	arias	PROPN
jbi-21742	129	2	-	-	PUNCT
jbi-21742	129	3	giraldo	giraldo	PROPN
jbi-21742	129	4	et	et	PROPN
jbi-21742	129	5	al	al	PROPN
jbi-21742	129	6	.	.	PROPN
jbi-21742	129	7	–	–	PUNCT
jbi-21742	129	8	enmpa	enmpa	NOUN
jbi-21742	129	9	33	33	NUM
jbi-21742	129	10	presence	presence	NOUN
jbi-21742	129	11	-	-	PUNCT
jbi-21742	129	12	only	only	ADV
jbi-21742	129	13	records	record	NOUN
jbi-21742	129	14	for	for	ADP
jbi-21742	129	15	this	this	DET
jbi-21742	129	16	evaluation	evaluation	NOUN
jbi-21742	129	17	.	.	PUNCT
jbi-21742	130	1	evaluation	evaluation	NOUN
jbi-21742	130	2	in	in	ADP
jbi-21742	130	3	cases	case	NOUN
jbi-21742	130	4	involving	involve	VERB
jbi-21742	130	5	presence	presence	NOUN
jbi-21742	130	6	-	-	PUNCT
jbi-21742	130	7	only	only	ADV
jbi-21742	130	8	data	datum	NOUN
jbi-21742	130	9	includes	include	VERB
jbi-21742	130	10	partial	partial	ADJ
jbi-21742	130	11	roc	roc	NOUN
jbi-21742	130	12	and	and	CCONJ
jbi-21742	130	13	omission	omission	NOUN
jbi-21742	130	14	error	error	NOUN
jbi-21742	130	15	(	(	PUNCT
jbi-21742	130	16	e	e	NOUN
jbi-21742	130	17	)	)	PUNCT
jbi-21742	130	18	metrics	metric	NOUN
jbi-21742	130	19	(	(	PUNCT
jbi-21742	130	20	cobos	cobo	NOUN
jbi-21742	130	21	et	et	PROPN
jbi-21742	130	22	al	al	PROPN
jbi-21742	130	23	.	.	PROPN
jbi-21742	130	24	2019a	2019a	NUM
jbi-21742	130	25	)	)	PUNCT
jbi-21742	130	26	.	.	PUNCT
jbi-21742	131	1	for	for	ADP
jbi-21742	131	2	presence	presence	NOUN
jbi-21742	131	3	-	-	PUNCT
jbi-21742	131	4	absence	absence	NOUN
jbi-21742	131	5	data	datum	NOUN
jbi-21742	131	6	,	,	PUNCT
jbi-21742	131	7	the	the	DET
jbi-21742	131	8	metrics	metric	NOUN
jbi-21742	131	9	returned	return	VERB
jbi-21742	131	10	are	be	AUX
jbi-21742	131	11	the	the	DET
jbi-21742	131	12	roc	roc	PROPN
jbi-21742	131	13	auc	auc	NOUN
jbi-21742	131	14	,	,	PUNCT
jbi-21742	131	15	sensitivity	sensitivity	NOUN
jbi-21742	131	16	,	,	PUNCT
jbi-21742	131	17	specificity	specificity	NOUN
jbi-21742	131	18	,	,	PUNCT
jbi-21742	131	19	accuracy	accuracy	NOUN
jbi-21742	131	20	,	,	PUNCT
jbi-21742	131	21	false	false	ADJ
jbi-21742	131	22	positive	positive	ADJ
jbi-21742	131	23	rate	rate	NOUN
jbi-21742	131	24	,	,	PUNCT
jbi-21742	131	25	and	and	CCONJ
jbi-21742	131	26	true	true	ADJ
jbi-21742	131	27	skill	skill	NOUN
jbi-21742	131	28	statistic	statistic	NOUN
jbi-21742	131	29	(	(	PUNCT
jbi-21742	131	30	tss	tss	NOUN
jbi-21742	131	31	)	)	PUNCT
jbi-21742	131	32	,	,	PUNCT
jbi-21742	131	33	and	and	CCONJ
jbi-21742	131	34	for	for	ADP
jbi-21742	131	35	three	three	NUM
jbi-21742	131	36	thresholds	threshold	NOUN
jbi-21742	131	37	(	(	PUNCT
jbi-21742	131	38	maximum	maximum	PROPN
jbi-21742	131	39	tss	tss	NOUN
jbi-21742	131	40	,	,	PUNCT
jbi-21742	131	41	equal	equal	ADJ
jbi-21742	131	42	sensitivity	sensitivity	NOUN
jbi-21742	131	43	and	and	CCONJ
jbi-21742	131	44	selectivity	selectivity	NOUN
jbi-21742	131	45	,	,	PUNCT
jbi-21742	131	46	and	and	CCONJ
jbi-21742	131	47	a	a	DET
jbi-21742	131	48	value	value	NOUN
jbi-21742	131	49	that	that	PRON
jbi-21742	131	50	ensures	ensure	VERB
jbi-21742	131	51	a	a	DET
jbi-21742	131	52	sensitivity	sensitivity	NOUN
jbi-21742	131	53	of	of	ADP
jbi-21742	131	54	90	90	NUM
jbi-21742	131	55	%	%	NOUN
jbi-21742	131	56	)	)	PUNCT
jbi-21742	131	57	.	.	PUNCT
jbi-21742	132	1	example	example	NOUN
jbi-21742	132	2	application	application	NOUN
jbi-21742	132	3	here	here	ADV
jbi-21742	132	4	,	,	PUNCT
jbi-21742	132	5	we	we	PRON
jbi-21742	132	6	provide	provide	VERB
jbi-21742	132	7	a	a	DET
jbi-21742	132	8	guide	guide	NOUN
jbi-21742	132	9	on	on	ADP
jbi-21742	132	10	how	how	SCONJ
jbi-21742	132	11	to	to	PART
jbi-21742	132	12	use	use	VERB
jbi-21742	132	13	enmpa	enmpa	NOUN
jbi-21742	132	14	,	,	PUNCT
jbi-21742	132	15	in	in	ADP
jbi-21742	132	16	the	the	DET
jbi-21742	132	17	form	form	NOUN
jbi-21742	132	18	of	of	ADP
jbi-21742	132	19	a	a	DET
jbi-21742	132	20	worked	work	VERB
jbi-21742	132	21	example	example	NOUN
jbi-21742	132	22	.	.	PUNCT
jbi-21742	133	1	this	this	DET
jbi-21742	133	2	example	example	NOUN
jbi-21742	133	3	includes	include	VERB
jbi-21742	133	4	the	the	DET
jbi-21742	133	5	processes	process	NOUN
jbi-21742	133	6	of	of	ADP
jbi-21742	133	7	variable	variable	ADJ
jbi-21742	133	8	exploration	exploration	NOUN
jbi-21742	133	9	,	,	PUNCT
jbi-21742	133	10	model	model	NOUN
jbi-21742	133	11	calibration	calibration	NOUN
jbi-21742	133	12	and	and	CCONJ
jbi-21742	133	13	selection	selection	NOUN
jbi-21742	133	14	,	,	PUNCT
jbi-21742	133	15	transfers	transfer	NOUN
jbi-21742	133	16	to	to	ADP
jbi-21742	133	17	specific	specific	ADJ
jbi-21742	133	18	areas	area	NOUN
jbi-21742	133	19	and	and	CCONJ
jbi-21742	133	20	scenarios	scenario	NOUN
jbi-21742	133	21	of	of	ADP
jbi-21742	133	22	interest	interest	NOUN
jbi-21742	133	23	,	,	PUNCT
jbi-21742	133	24	and	and	CCONJ
jbi-21742	133	25	post	post	ADJ
jbi-21742	133	26	-	-	ADJ
jbi-21742	133	27	modeling	modeling	ADJ
jbi-21742	133	28	analyses	analysis	NOUN
jbi-21742	133	29	.	.	PUNCT
jbi-21742	134	1	the	the	DET
jbi-21742	134	2	code	code	NOUN
jbi-21742	134	3	required	require	VERB
jbi-21742	134	4	to	to	PART
jbi-21742	134	5	reproduce	reproduce	VERB
jbi-21742	134	6	this	this	DET
jbi-21742	134	7	example	example	NOUN
jbi-21742	134	8	can	can	AUX
jbi-21742	134	9	be	be	AUX
jbi-21742	134	10	found	find	VERB
jbi-21742	134	11	in	in	ADP
jbi-21742	134	12	a	a	DET
jbi-21742	134	13	github	github	NOUN
jbi-21742	134	14	repository	repository	NOUN
jbi-21742	134	15	(	(	PUNCT
jbi-21742	134	16	available	available	ADJ
jbi-21742	134	17	at	at	ADP
jbi-21742	134	18	https://github.com/	https://github.com/	PROPN
jbi-21742	134	19	luisagi	luisagi	PROPN
jbi-21742	134	20	/	/	SYM
jbi-21742	134	21	enmpa_test	enmpa_test	NOUN
jbi-21742	134	22	)	)	PUNCT
jbi-21742	134	23	.	.	PUNCT
jbi-21742	135	1	the	the	DET
jbi-21742	135	2	presence	presence	NOUN
jbi-21742	135	3	-	-	PUNCT
jbi-21742	135	4	absence	absence	NOUN
jbi-21742	135	5	data	datum	NOUN
jbi-21742	135	6	,	,	PUNCT
jbi-21742	135	7	raster	raster	NOUN
jbi-21742	135	8	layers	layer	NOUN
jbi-21742	135	9	,	,	PUNCT
jbi-21742	135	10	and	and	CCONJ
jbi-21742	135	11	an	an	DET
jbi-21742	135	12	independent	independent	ADJ
jbi-21742	135	13	test	test	NOUN
jbi-21742	135	14	dataset	dataset	NOUN
jbi-21742	135	15	used	use	VERB
jbi-21742	135	16	in	in	ADP
jbi-21742	135	17	these	these	DET
jbi-21742	135	18	examples	example	NOUN
jbi-21742	135	19	are	be	AUX
jbi-21742	135	20	included	include	VERB
jbi-21742	135	21	in	in	ADP
jbi-21742	135	22	the	the	DET
jbi-21742	135	23	package	package	NOUN
jbi-21742	135	24	(	(	PUNCT
jbi-21742	135	25	available	available	ADJ
jbi-21742	135	26	at	at	ADP
jbi-21742	135	27	https://cran.r-project.org/package=enmpa	https://cran.r-project.org/package=enmpa	NOUN
jbi-21742	135	28	)	)	PUNCT
jbi-21742	135	29	.	.	PUNCT
jbi-21742	136	1	data	data	VERB
jbi-21742	136	2	the	the	DET
jbi-21742	136	3	example	example	NOUN
jbi-21742	136	4	data	datum	NOUN
jbi-21742	136	5	include	include	VERB
jbi-21742	136	6	500	500	NUM
jbi-21742	136	7	presence	presence	NOUN
jbi-21742	136	8	records	record	NOUN
jbi-21742	136	9	of	of	ADP
jbi-21742	136	10	a	a	DET
jbi-21742	136	11	virtual	virtual	ADJ
jbi-21742	136	12	pathogen	pathogen	NOUN
jbi-21742	136	13	detected	detect	VERB
jbi-21742	136	14	in	in	ADP
jbi-21742	136	15	a	a	DET
jbi-21742	136	16	total	total	NOUN
jbi-21742	136	17	of	of	ADP
jbi-21742	136	18	5627	5627	NUM
jbi-21742	136	19	virtual	virtual	ADJ
jbi-21742	136	20	host	host	NOUN
jbi-21742	136	21	samples	sample	NOUN
jbi-21742	136	22	(	(	PUNCT
jbi-21742	136	23	i.e.	i.e.	X
jbi-21742	136	24	,	,	PUNCT
jbi-21742	136	25	5127	5127	NUM
jbi-21742	136	26	absences	absence	NOUN
jbi-21742	136	27	)	)	PUNCT
jbi-21742	136	28	,	,	PUNCT
jbi-21742	136	29	for	for	ADP
jbi-21742	136	30	a	a	DET
jbi-21742	136	31	prevalence	prevalence	NOUN
jbi-21742	136	32	of	of	ADP
jbi-21742	136	33	8.9	8.9	NUM
jbi-21742	136	34	%	%	NOUN
jbi-21742	136	35	.	.	PUNCT
jbi-21742	137	1	the	the	DET
jbi-21742	137	2	example	example	NOUN
jbi-21742	137	3	data	datum	NOUN
jbi-21742	137	4	was	be	AUX
jbi-21742	137	5	generated	generate	VERB
jbi-21742	137	6	based	base	VERB
jbi-21742	137	7	on	on	ADP
jbi-21742	137	8	ellipsoidal	ellipsoidal	ADJ
jbi-21742	137	9	virtual	virtual	ADJ
jbi-21742	137	10	niches	niche	NOUN
jbi-21742	137	11	for	for	ADP
jbi-21742	137	12	the	the	DET
jbi-21742	137	13	host	host	NOUN
jbi-21742	137	14	and	and	CCONJ
jbi-21742	137	15	the	the	DET
jbi-21742	137	16	pathogen	pathogen	NOUN
jbi-21742	137	17	using	use	VERB
jbi-21742	137	18	the	the	DET
jbi-21742	137	19	package	package	NOUN
jbi-21742	137	20	evniche	evniche	NOUN
jbi-21742	137	21	(	(	PUNCT
jbi-21742	137	22	https://github.com/	https://github.com/	PROPN
jbi-21742	137	23	marlonecobos	marlonecobos	PROPN
jbi-21742	137	24	/	/	SYM
jbi-21742	137	25	evniche	evniche	NOUN
jbi-21742	137	26	)	)	PUNCT
jbi-21742	137	27	in	in	ADP
jbi-21742	137	28	r	r	NOUN
jbi-21742	137	29	v4.2.2	v4.2.2	NOUN
jbi-21742	137	30	(	(	PUNCT
jbi-21742	137	31	r	r	NOUN
jbi-21742	137	32	core	core	NOUN
jbi-21742	137	33	team	team	NOUN
jbi-21742	137	34	2022	2022	NUM
jbi-21742	137	35	)	)	PUNCT
jbi-21742	137	36	.	.	PUNCT
jbi-21742	138	1	the	the	DET
jbi-21742	138	2	pathogen	pathogen	NOUN
jbi-21742	138	3	was	be	AUX
jbi-21742	138	4	designed	design	VERB
jbi-21742	138	5	to	to	PART
jbi-21742	138	6	have	have	VERB
jbi-21742	138	7	a	a	DET
jbi-21742	138	8	higher	high	ADJ
jbi-21742	138	9	prevalence	prevalence	NOUN
jbi-21742	138	10	towards	towards	ADP
jbi-21742	138	11	warm	warm	ADJ
jbi-21742	138	12	and	and	CCONJ
jbi-21742	138	13	dry	dry	ADJ
jbi-21742	138	14	environmental	environmental	ADJ
jbi-21742	138	15	conditions	condition	NOUN
jbi-21742	138	16	.	.	PUNCT
jbi-21742	139	1	example	example	NOUN
jbi-21742	139	2	data	datum	NOUN
jbi-21742	139	3	to	to	PART
jbi-21742	139	4	illustrate	illustrate	VERB
jbi-21742	139	5	independent	independent	ADJ
jbi-21742	139	6	tests	test	NOUN
jbi-21742	139	7	were	be	AUX
jbi-21742	139	8	generated	generate	VERB
jbi-21742	139	9	the	the	DET
jbi-21742	139	10	same	same	ADJ
jbi-21742	139	11	way	way	NOUN
jbi-21742	139	12	but	but	CCONJ
jbi-21742	139	13	during	during	ADP
jbi-21742	139	14	a	a	DET
jbi-21742	139	15	posterior	posterior	ADJ
jbi-21742	139	16	set	set	NOUN
jbi-21742	139	17	of	of	ADP
jbi-21742	139	18	analyses	analysis	NOUN
jbi-21742	139	19	.	.	PUNCT
jbi-21742	140	1	the	the	DET
jbi-21742	140	2	environmental	environmental	ADJ
jbi-21742	140	3	data	datum	NOUN
jbi-21742	140	4	related	relate	VERB
jbi-21742	140	5	to	to	ADP
jbi-21742	140	6	occurrence	occurrence	NOUN
jbi-21742	140	7	records	record	NOUN
jbi-21742	140	8	were	be	AUX
jbi-21742	140	9	extracted	extract	VERB
jbi-21742	140	10	from	from	ADP
jbi-21742	140	11	raster	raster	NOUN
jbi-21742	140	12	layers	layer	NOUN
jbi-21742	140	13	(	(	PUNCT
jbi-21742	140	14	resolution	resolution	NOUN
jbi-21742	140	15	=	=	SYM
jbi-21742	140	16	10	10	NUM
jbi-21742	140	17	arc	arc	NOUN
jbi-21742	140	18	-	-	PUNCT
jbi-21742	140	19	minutes	minute	NOUN
jbi-21742	140	20	)	)	PUNCT
jbi-21742	140	21	that	that	PRON
jbi-21742	140	22	represent	represent	VERB
jbi-21742	140	23	two	two	NUM
jbi-21742	140	24	bioclimatic	bioclimatic	ADJ
jbi-21742	140	25	variables	variable	NOUN
jbi-21742	140	26	(	(	PUNCT
jbi-21742	140	27	annual	annual	ADJ
jbi-21742	140	28	mean	mean	ADJ
jbi-21742	140	29	temperature	temperature	NOUN
jbi-21742	140	30	and	and	CCONJ
jbi-21742	140	31	annual	annual	ADJ
jbi-21742	140	32	precipitation	precipitation	NOUN
jbi-21742	140	33	,	,	PUNCT
jbi-21742	140	34	bio-1	bio-1	PUNCT
jbi-21742	140	35	and	and	CCONJ
jbi-21742	140	36	bio-12	bio-12	NOUN
jbi-21742	140	37	)	)	PUNCT
jbi-21742	140	38	,	,	PUNCT
jbi-21742	140	39	from	from	ADP
jbi-21742	140	40	the	the	DET
jbi-21742	140	41	worldclim	worldclim	NUM
jbi-21742	140	42	database	database	NOUN
jbi-21742	140	43	v2.0	v2.0	X
jbi-21742	140	44	(	(	PUNCT
jbi-21742	140	45	fick	fick	NOUN
jbi-21742	140	46	and	and	CCONJ
jbi-21742	140	47	hijmans	hijman	NOUN
jbi-21742	140	48	2017	2017	NUM
jbi-21742	140	49	)	)	PUNCT
jbi-21742	140	50	.	.	PUNCT
jbi-21742	141	1	the	the	DET
jbi-21742	141	2	two	two	NUM
jbi-21742	141	3	datasets	dataset	NOUN
jbi-21742	141	4	associated	associate	VERB
jbi-21742	141	5	with	with	ADP
jbi-21742	141	6	environmental	environmental	ADJ
jbi-21742	141	7	values	value	NOUN
jbi-21742	141	8	are	be	AUX
jbi-21742	141	9	included	include	VERB
jbi-21742	141	10	as	as	ADP
jbi-21742	141	11	part	part	NOUN
jbi-21742	141	12	of	of	ADP
jbi-21742	141	13	example	example	NOUN
jbi-21742	141	14	data	datum	NOUN
jbi-21742	141	15	in	in	ADP
jbi-21742	141	16	enmpa	enmpa	NOUN
jbi-21742	141	17	.	.	PUNCT
jbi-21742	142	1	analysis	analysis	NOUN
jbi-21742	142	2	variable	variable	ADJ
jbi-21742	142	3	exploration	exploration	NOUN
jbi-21742	142	4	for	for	ADP
jbi-21742	142	5	niche	niche	NOUN
jbi-21742	142	6	signal	signal	NOUN
jbi-21742	142	7	detection.-we	detection.-we	NOUN
jbi-21742	142	8	started	start	VERB
jbi-21742	142	9	with	with	ADP
jbi-21742	142	10	exploratory	exploratory	ADJ
jbi-21742	142	11	analyses	analysis	NOUN
jbi-21742	142	12	to	to	PART
jbi-21742	142	13	detect	detect	VERB
jbi-21742	142	14	whether	whether	SCONJ
jbi-21742	142	15	the	the	DET
jbi-21742	142	16	environmental	environmental	ADJ
jbi-21742	142	17	variables	variable	NOUN
jbi-21742	142	18	can	can	AUX
jbi-21742	142	19	describe	describe	VERB
jbi-21742	142	20	the	the	DET
jbi-21742	142	21	niche	niche	NOUN
jbi-21742	142	22	of	of	ADP
jbi-21742	142	23	the	the	DET
jbi-21742	142	24	virtual	virtual	ADJ
jbi-21742	142	25	pathogen	pathogen	NOUN
jbi-21742	142	26	(	(	PUNCT
jbi-21742	142	27	cobos	cobo	NOUN
jbi-21742	142	28	and	and	CCONJ
jbi-21742	142	29	peterson	peterson	NOUN
jbi-21742	142	30	2022	2022	NUM
jbi-21742	142	31	)	)	PUNCT
jbi-21742	142	32	.	.	PUNCT
jbi-21742	143	1	we	we	PRON
jbi-21742	143	2	conducted	conduct	VERB
jbi-21742	143	3	the	the	DET
jbi-21742	143	4	two	two	NUM
jbi-21742	143	5	tests	test	NOUN
jbi-21742	143	6	(	(	PUNCT
jbi-21742	143	7	multivariate	multivariate	NOUN
jbi-21742	143	8	and	and	CCONJ
jbi-21742	143	9	univariate	univariate	ADJ
jbi-21742	143	10	approaches	approach	NOUN
jbi-21742	143	11	)	)	PUNCT
jbi-21742	143	12	to	to	PART
jbi-21742	143	13	assess	assess	VERB
jbi-21742	143	14	whether	whether	SCONJ
jbi-21742	143	15	the	the	DET
jbi-21742	143	16	position	position	NOUN
jbi-21742	143	17	and	and	CCONJ
jbi-21742	143	18	spread	spread	VERB
jbi-21742	143	19	of	of	ADP
jbi-21742	143	20	the	the	DET
jbi-21742	143	21	pathogen	pathogen	NOUN
jbi-21742	143	22	niche	niche	NOUN
jbi-21742	143	23	differed	differ	VERB
jbi-21742	143	24	from	from	ADP
jbi-21742	143	25	those	those	PRON
jbi-21742	143	26	of	of	ADP
jbi-21742	143	27	the	the	DET
jbi-21742	143	28	host	host	NOUN
jbi-21742	143	29	,	,	PUNCT
jbi-21742	143	30	considering	consider	VERB
jbi-21742	143	31	the	the	DET
jbi-21742	143	32	two	two	NUM
jbi-21742	143	33	environmental	environmental	ADJ
jbi-21742	143	34	variables	variable	NOUN
jbi-21742	143	35	in	in	ADP
jbi-21742	143	36	the	the	DET
jbi-21742	143	37	example	example	NOUN
jbi-21742	143	38	.	.	PUNCT
jbi-21742	144	1	calibration	calibration	NOUN
jbi-21742	144	2	and	and	CCONJ
jbi-21742	144	3	model	model	NOUN
jbi-21742	144	4	selection.--in	selection.--in	VERB
jbi-21742	144	5	all	all	DET
jbi-21742	144	6	31	31	NUM
jbi-21742	144	7	candidate	candidate	NOUN
jbi-21742	144	8	models	model	NOUN
jbi-21742	144	9	were	be	AUX
jbi-21742	144	10	created	create	VERB
jbi-21742	144	11	using	use	VERB
jbi-21742	144	12	combinations	combination	NOUN
jbi-21742	144	13	of	of	ADP
jbi-21742	144	14	the	the	DET
jbi-21742	144	15	two	two	NUM
jbi-21742	144	16	environmental	environmental	ADJ
jbi-21742	144	17	variables	variable	NOUN
jbi-21742	144	18	,	,	PUNCT
jbi-21742	144	19	with	with	ADP
jbi-21742	144	20	linear	linear	ADJ
jbi-21742	144	21	,	,	PUNCT
jbi-21742	144	22	quadratic	quadratic	ADJ
jbi-21742	144	23	,	,	PUNCT
jbi-21742	144	24	and	and	CCONJ
jbi-21742	144	25	product	product	NOUN
jbi-21742	144	26	responses	response	NOUN
jbi-21742	144	27	.	.	PUNCT
jbi-21742	145	1	each	each	DET
jbi-21742	145	2	model	model	NOUN
jbi-21742	145	3	was	be	AUX
jbi-21742	145	4	tested	test	VERB
jbi-21742	145	5	for	for	ADP
jbi-21742	145	6	model	model	NOUN
jbi-21742	145	7	complexity	complexity	NOUN
jbi-21742	145	8	(	(	PUNCT
jbi-21742	145	9	aic	aic	PROPN
jbi-21742	145	10	)	)	PUNCT
jbi-21742	145	11	using	use	VERB
jbi-21742	145	12	the	the	DET
jbi-21742	145	13	whole	whole	ADJ
jbi-21742	145	14	dataset	dataset	NOUN
jbi-21742	145	15	and	and	CCONJ
jbi-21742	145	16	with	with	ADP
jbi-21742	145	17	a	a	DET
jbi-21742	145	18	k	k	ADJ
jbi-21742	145	19	-	-	ADJ
jbi-21742	145	20	fold	fold	ADJ
jbi-21742	145	21	cross	cross	NOUN
jbi-21742	145	22	-	-	NOUN
jbi-21742	145	23	validation	validation	ADJ
jbi-21742	145	24	(	(	PUNCT
jbi-21742	145	25	k	k	NOUN
jbi-21742	145	26	=	=	SYM
jbi-21742	145	27	5	5	NUM
jbi-21742	145	28	)	)	PUNCT
jbi-21742	145	29	to	to	PART
jbi-21742	145	30	evaluate	evaluate	VERB
jbi-21742	145	31	its	its	PRON
jbi-21742	145	32	performance	performance	NOUN
jbi-21742	145	33	in	in	ADP
jbi-21742	145	34	terms	term	NOUN
jbi-21742	145	35	of	of	ADP
jbi-21742	145	36	discrimination	discrimination	NOUN
jbi-21742	145	37	(	(	PUNCT
jbi-21742	145	38	roc	roc	NOUN
jbi-21742	145	39	-	-	PUNCT
jbi-21742	145	40	auc	auc	NOUN
jbi-21742	145	41	)	)	PUNCT
jbi-21742	145	42	and	and	CCONJ
jbi-21742	145	43	classification	classification	NOUN
jbi-21742	145	44	capacity	capacity	NOUN
jbi-21742	145	45	(	(	PUNCT
jbi-21742	145	46	false	false	ADJ
jbi-21742	145	47	positive	positive	ADJ
jbi-21742	145	48	rate	rate	NOUN
jbi-21742	145	49	,	,	PUNCT
jbi-21742	145	50	accuracy	accuracy	NOUN
jbi-21742	145	51	,	,	PUNCT
jbi-21742	145	52	sensitivity	sensitivity	NOUN
jbi-21742	145	53	,	,	PUNCT
jbi-21742	145	54	specificity	specificity	NOUN
jbi-21742	145	55	,	,	PUNCT
jbi-21742	145	56	and	and	CCONJ
jbi-21742	145	57	tss	tss	PROPN
jbi-21742	145	58	)	)	PUNCT
jbi-21742	145	59	.	.	PUNCT
jbi-21742	146	1	the	the	DET
jbi-21742	146	2	classification	classification	NOUN
jbi-21742	146	3	metrics	metric	NOUN
jbi-21742	146	4	were	be	AUX
jbi-21742	146	5	based	base	VERB
jbi-21742	146	6	on	on	ADP
jbi-21742	146	7	three	three	NUM
jbi-21742	146	8	relevant	relevant	ADJ
jbi-21742	146	9	thresholds	threshold	NOUN
jbi-21742	146	10	:	:	PUNCT
jbi-21742	146	11	equal	equal	ADJ
jbi-21742	146	12	sensitivity	sensitivity	NOUN
jbi-21742	146	13	and	and	CCONJ
jbi-21742	146	14	specificity	specificity	NOUN
jbi-21742	146	15	(	(	PUNCT
jbi-21742	146	16	ess	ess	NOUN
jbi-21742	146	17	)	)	PUNCT
jbi-21742	146	18	,	,	PUNCT
jbi-21742	146	19	the	the	DET
jbi-21742	146	20	sensitivity	sensitivity	NOUN
jbi-21742	146	21	of	of	ADP
jbi-21742	146	22	90	90	NUM
jbi-21742	146	23	%	%	NOUN
jbi-21742	146	24	(	(	PUNCT
jbi-21742	146	25	sen90	sen90	NOUN
jbi-21742	146	26	)	)	PUNCT
jbi-21742	146	27	,	,	PUNCT
jbi-21742	146	28	and	and	CCONJ
jbi-21742	146	29	maximum	maximum	PROPN
jbi-21742	146	30	tss	tss	PROPN
jbi-21742	146	31	(	(	PUNCT
jbi-21742	146	32	maxtss	maxtss	PROPN
jbi-21742	146	33	)	)	PUNCT
jbi-21742	146	34	.	.	PUNCT
jbi-21742	147	1	the	the	DET
jbi-21742	147	2	best	good	ADJ
jbi-21742	147	3	models	model	NOUN
jbi-21742	147	4	were	be	AUX
jbi-21742	147	5	selected	select	VERB
jbi-21742	147	6	according	accord	VERB
jbi-21742	147	7	to	to	ADP
jbi-21742	147	8	enmpa	enmpa	NOUN
jbi-21742	147	9	criteria	criterion	NOUN
jbi-21742	147	10	:	:	PUNCT
jbi-21742	147	11	only	only	ADV
jbi-21742	147	12	models	model	NOUN
jbi-21742	147	13	with	with	ADP
jbi-21742	147	14	only	only	ADJ
jbi-21742	147	15	convex	convex	ADJ
jbi-21742	147	16	quadratic	quadratic	ADJ
jbi-21742	147	17	responses	response	NOUN
jbi-21742	147	18	were	be	AUX
jbi-21742	147	19	assessed	assess	VERB
jbi-21742	147	20	,	,	PUNCT
jbi-21742	147	21	then	then	ADV
jbi-21742	147	22	,	,	PUNCT
jbi-21742	147	23	models	model	NOUN
jbi-21742	147	24	with	with	ADP
jbi-21742	147	25	roc	roc	NOUN
jbi-21742	147	26	-	-	PUNCT
jbi-21742	147	27	auc	auc	NOUN
jbi-21742	147	28	>	>	X
jbi-21742	147	29	0.5	0.5	NUM
jbi-21742	147	30	were	be	AUX
jbi-21742	147	31	retained	retain	VERB
jbi-21742	147	32	,	,	PUNCT
jbi-21742	147	33	and	and	CCONJ
jbi-21742	147	34	after	after	ADP
jbi-21742	147	35	that	that	PRON
jbi-21742	147	36	,	,	PUNCT
jbi-21742	147	37	only	only	ADJ
jbi-21742	147	38	models	model	NOUN
jbi-21742	147	39	with	with	ADP
jbi-21742	147	40	a	a	DET
jbi-21742	147	41	good	good	ADJ
jbi-21742	147	42	classification	classification	NOUN
jbi-21742	147	43	capacity	capacity	NOUN
jbi-21742	147	44	(	(	PUNCT
jbi-21742	147	45	tss	tss	PROPN
jbi-21742	147	46	>	>	X
jbi-21742	147	47	0.4	0.4	NUM
jbi-21742	147	48	)	)	PUNCT
jbi-21742	147	49	were	be	AUX
jbi-21742	147	50	selected	select	VERB
jbi-21742	147	51	.	.	PUNCT
jbi-21742	148	1	finally	finally	ADV
jbi-21742	148	2	,	,	PUNCT
jbi-21742	148	3	only	only	ADV
jbi-21742	148	4	the	the	DET
jbi-21742	148	5	models	model	NOUN
jbi-21742	148	6	with	with	ADP
jbi-21742	148	7	δaicc	δaicc	NOUN
jbi-21742	148	8	values	value	NOUN
jbi-21742	148	9	≤	≤	NOUN
jbi-21742	148	10	2	2	NUM
jbi-21742	148	11	were	be	AUX
jbi-21742	148	12	chosen	choose	VERB
jbi-21742	148	13	as	as	ADP
jbi-21742	148	14	the	the	DET
jbi-21742	148	15	final	final	ADJ
jbi-21742	148	16	selected	select	VERB
jbi-21742	148	17	models	model	NOUN
jbi-21742	148	18	.	.	PUNCT
jbi-21742	149	1	post	post	ADJ
jbi-21742	149	2	-	-	ADJ
jbi-21742	149	3	modeling	modeling	ADJ
jbi-21742	149	4	analyses.--we	analyses.--we	NOUN
jbi-21742	149	5	analyzed	analyze	VERB
jbi-21742	149	6	the	the	DET
jbi-21742	149	7	contributions	contribution	NOUN
jbi-21742	149	8	of	of	ADP
jbi-21742	149	9	predictors	predictor	NOUN
jbi-21742	149	10	to	to	ADP
jbi-21742	149	11	the	the	DET
jbi-21742	149	12	model	model	NOUN
jbi-21742	149	13	and	and	CCONJ
jbi-21742	149	14	explored	explore	VERB
jbi-21742	149	15	variable	variable	ADJ
jbi-21742	149	16	response	response	NOUN
jbi-21742	149	17	curves	curve	NOUN
jbi-21742	149	18	for	for	ADP
jbi-21742	149	19	each	each	DET
jbi-21742	149	20	model	model	NOUN
jbi-21742	149	21	and	and	CCONJ
jbi-21742	149	22	the	the	DET
jbi-21742	149	23	consensus	consensus	NOUN
jbi-21742	149	24	results	result	VERB
jbi-21742	149	25	.	.	PUNCT
jbi-21742	150	1	projections	projection	NOUN
jbi-21742	150	2	to	to	ADP
jbi-21742	150	3	the	the	DET
jbi-21742	150	4	48	48	NUM
jbi-21742	150	5	contiguous	contiguous	ADJ
jbi-21742	150	6	united	united	ADJ
jbi-21742	150	7	states	state	NOUN
jbi-21742	150	8	were	be	AUX
jbi-21742	150	9	produced	produce	VERB
jbi-21742	150	10	for	for	ADP
jbi-21742	150	11	all	all	DET
jbi-21742	150	12	models	model	NOUN
jbi-21742	150	13	selected	select	VERB
jbi-21742	150	14	using	use	VERB
jbi-21742	150	15	the	the	DET
jbi-21742	150	16	aforementioned	aforementioned	ADJ
jbi-21742	150	17	criteria	criterion	NOUN
jbi-21742	150	18	.	.	PUNCT
jbi-21742	151	1	we	we	PRON
jbi-21742	151	2	produced	produce	VERB
jbi-21742	151	3	model	model	NOUN
jbi-21742	151	4	projections	projection	NOUN
jbi-21742	151	5	in	in	ADP
jbi-21742	151	6	conditions	condition	NOUN
jbi-21742	151	7	outside	outside	ADP
jbi-21742	151	8	calibration	calibration	NOUN
jbi-21742	151	9	ranges	range	VERB
jbi-21742	151	10	allowing	allow	VERB
jbi-21742	151	11	for	for	ADP
jbi-21742	151	12	free	free	ADJ
jbi-21742	151	13	extrapolation	extrapolation	NOUN
jbi-21742	151	14	,	,	PUNCT
jbi-21742	151	15	extrapolation	extrapolation	NOUN
jbi-21742	151	16	with	with	ADP
jbi-21742	151	17	clamping	clamping	NOUN
jbi-21742	151	18	,	,	PUNCT
jbi-21742	151	19	and	and	CCONJ
jbi-21742	151	20	no	no	DET
jbi-21742	151	21	extrapolation	extrapolation	NOUN
jbi-21742	151	22	.	.	PUNCT
jbi-21742	152	1	we	we	PRON
jbi-21742	152	2	used	use	VERB
jbi-21742	152	3	three	three	NUM
jbi-21742	152	4	approaches	approach	NOUN
jbi-21742	152	5	to	to	PART
jbi-21742	152	6	generate	generate	VERB
jbi-21742	152	7	consensus	consensus	NOUN
jbi-21742	152	8	results	result	NOUN
jbi-21742	152	9	:	:	PUNCT
jbi-21742	152	10	mean	mean	ADJ
jbi-21742	152	11	,	,	PUNCT
jbi-21742	152	12	median	median	NOUN
jbi-21742	152	13	,	,	PUNCT
jbi-21742	152	14	and	and	CCONJ
jbi-21742	152	15	weighted	weight	VERB
jbi-21742	152	16	average	average	ADJ
jbi-21742	152	17	.	.	PUNCT
jbi-21742	153	1	to	to	PART
jbi-21742	153	2	represent	represent	VERB
jbi-21742	153	3	model	model	NOUN
jbi-21742	153	4	variability	variability	NOUN
jbi-21742	153	5	,	,	PUNCT
jbi-21742	153	6	we	we	PRON
jbi-21742	153	7	also	also	ADV
jbi-21742	153	8	calculated	calculate	VERB
jbi-21742	153	9	the	the	DET
jbi-21742	153	10	variance	variance	NOUN
jbi-21742	153	11	among	among	ADP
jbi-21742	153	12	selected	select	VERB
jbi-21742	153	13	models	model	NOUN
jbi-21742	153	14	.	.	PUNCT
jbi-21742	154	1	finally	finally	ADV
jbi-21742	154	2	,	,	PUNCT
jbi-21742	154	3	the	the	DET
jbi-21742	154	4	independent	independent	ADJ
jbi-21742	154	5	data	datum	NOUN
jbi-21742	154	6	were	be	AUX
jbi-21742	154	7	used	use	VERB
jbi-21742	154	8	to	to	PART
jbi-21742	154	9	evaluate	evaluate	VERB
jbi-21742	154	10	the	the	DET
jbi-21742	154	11	models	model	NOUN
jbi-21742	154	12	selected	select	VERB
jbi-21742	154	13	and	and	CCONJ
jbi-21742	154	14	the	the	DET
jbi-21742	154	15	consensus	consensus	NOUN
jbi-21742	154	16	results	result	NOUN
jbi-21742	154	17	.	.	PUNCT
jbi-21742	155	1	example	example	NOUN
jbi-21742	155	2	results	result	VERB
jbi-21742	155	3	both	both	DET
jbi-21742	155	4	tests	test	VERB
jbi-21742	155	5	for	for	ADP
jbi-21742	155	6	environmental	environmental	ADJ
jbi-21742	155	7	sensitivity	sensitivity	NOUN
jbi-21742	155	8	consistently	consistently	ADV
jbi-21742	155	9	performed	perform	VERB
jbi-21742	155	10	well	well	ADV
jbi-21742	155	11	for	for	ADP
jbi-21742	155	12	the	the	DET
jbi-21742	155	13	two	two	NUM
jbi-21742	155	14	bioclimatic	bioclimatic	ADJ
jbi-21742	155	15	variables	variable	NOUN
jbi-21742	155	16	for	for	ADP
jbi-21742	155	17	the	the	DET
jbi-21742	155	18	virtual	virtual	ADJ
jbi-21742	155	19	pathogen	pathogen	NOUN
jbi-21742	155	20	case	case	NOUN
jbi-21742	155	21	.	.	PUNCT
jbi-21742	156	1	multivariate	multivariate	NOUN
jbi-21742	156	2	analysis	analysis	NOUN
jbi-21742	156	3	based	base	VERB
jbi-21742	156	4	on	on	ADP
jbi-21742	156	5	permanova	permanova	PROPN
jbi-21742	156	6	effectively	effectively	ADV
jbi-21742	156	7	detected	detect	VERB
jbi-21742	156	8	niche	niche	NOUN
jbi-21742	156	9	dissimilarities	dissimilarity	NOUN
jbi-21742	156	10	between	between	ADP
jbi-21742	156	11	the	the	DET
jbi-21742	156	12	pathogen	pathogen	NOUN
jbi-21742	156	13	and	and	CCONJ
jbi-21742	156	14	host	host	NOUN
jbi-21742	156	15	,	,	PUNCT
jbi-21742	156	16	with	with	ADP
jbi-21742	156	17	the	the	DET
jbi-21742	156	18	pathogen	pathogen	NOUN
jbi-21742	156	19	niche	niche	NOUN
jbi-21742	156	20	forming	form	VERB
jbi-21742	156	21	a	a	DET
jbi-21742	156	22	subgroup	subgroup	NOUN
jbi-21742	156	23	nested	nest	VERB
jbi-21742	156	24	within	within	ADP
jbi-21742	156	25	the	the	DET
jbi-21742	156	26	host	host	NOUN
jbi-21742	156	27	niche	niche	NOUN
jbi-21742	156	28	(	(	PUNCT
jbi-21742	156	29	fig	fig	NOUN
jbi-21742	156	30	.	.	PUNCT
jbi-21742	157	1	a1	a1	NOUN
jbi-21742	157	2	of	of	ADP
jbi-21742	157	3	appendix	appendix	NOUN
jbi-21742	157	4	)	)	PUNCT
jbi-21742	157	5	.	.	PUNCT
jbi-21742	158	1	using	use	VERB
jbi-21742	158	2	the	the	DET
jbi-21742	158	3	mean	mean	NOUN
jbi-21742	158	4	as	as	ADP
jbi-21742	158	5	the	the	DET
jbi-21742	158	6	comparison	comparison	NOUN
jbi-21742	158	7	metric	metric	ADJ
jbi-21742	158	8	for	for	ADP
jbi-21742	158	9	the	the	DET
jbi-21742	158	10	univariate	univariate	ADJ
jbi-21742	158	11	non	non	ADJ
jbi-21742	158	12	-	-	ADJ
jbi-21742	158	13	parametric	parametric	ADJ
jbi-21742	158	14	test	test	NOUN
jbi-21742	158	15	,	,	PUNCT
jbi-21742	158	16	we	we	PRON
jbi-21742	158	17	found	find	VERB
jbi-21742	158	18	that	that	SCONJ
jbi-21742	158	19	the	the	DET
jbi-21742	158	20	pathogen	pathogen	NOUN
jbi-21742	158	21	niche	niche	NOUN
jbi-21742	158	22	was	be	AUX
jbi-21742	158	23	shifted	shift	VERB
jbi-21742	158	24	towards	towards	ADP
jbi-21742	158	25	high	high	ADJ
jbi-21742	158	26	temperature	temperature	NOUN
jbi-21742	158	27	and	and	CCONJ
jbi-21742	158	28	https://github.com/luisagi/enmpa_test	https://github.com/luisagi/enmpa_t	ADJ
jbi-21742	158	29	https://github.com/luisagi/enmpa_test	https://github.com/luisagi/enmpa_test	NUM
jbi-21742	158	30	https://cran.r-project.org/package=enmpa	https://cran.r-project.org/package=enmpa	NOUN
jbi-21742	158	31	https://github.com/marlonecobos/evniche	https://github.com/marlonecobos/evniche	NOUN
jbi-21742	158	32	https://github.com/marlonecobos/evniche	https://github.com/marlonecobos/evniche	PROPN
jbi-21742	158	33	arias	arias	PROPN
jbi-21742	158	34	-	-	PUNCT
jbi-21742	158	35	giraldo	giraldo	PROPN
jbi-21742	158	36	et	et	PROPN
jbi-21742	158	37	al	al	PROPN
jbi-21742	158	38	.	.	PROPN
jbi-21742	158	39	–	–	PUNCT
jbi-21742	158	40	enmpa	enmpa	NOUN
jbi-21742	158	41	34	34	NUM
jbi-21742	158	42	lower	low	ADJ
jbi-21742	158	43	precipitation	precipitation	NOUN
jbi-21742	158	44	values	value	NOUN
jbi-21742	158	45	.	.	PUNCT
jbi-21742	159	1	comparisons	comparison	NOUN
jbi-21742	159	2	using	use	VERB
jbi-21742	159	3	the	the	DET
jbi-21742	159	4	standard	standard	ADJ
jbi-21742	159	5	deviation	deviation	NOUN
jbi-21742	159	6	showed	show	VERB
jbi-21742	159	7	that	that	SCONJ
jbi-21742	159	8	the	the	DET
jbi-21742	159	9	pathogen	pathogen	NOUN
jbi-21742	159	10	niche	niche	NOUN
jbi-21742	159	11	was	be	AUX
jbi-21742	159	12	narrower	narrow	ADJ
jbi-21742	159	13	than	than	ADP
jbi-21742	159	14	the	the	DET
jbi-21742	159	15	host	host	NOUN
jbi-21742	159	16	niche	niche	NOUN
jbi-21742	159	17	in	in	ADP
jbi-21742	159	18	both	both	DET
jbi-21742	159	19	variables	variable	NOUN
jbi-21742	159	20	(	(	PUNCT
jbi-21742	159	21	fig	fig	NOUN
jbi-21742	159	22	.	.	PUNCT
jbi-21742	160	1	a2	a2	PROPN
jbi-21742	160	2	of	of	ADP
jbi-21742	160	3	appendix	appendix	NOUN
jbi-21742	160	4	)	)	PUNCT
jbi-21742	160	5	.	.	PUNCT
jbi-21742	161	1	after	after	ADP
jbi-21742	161	2	model	model	NOUN
jbi-21742	161	3	calibration	calibration	NOUN
jbi-21742	161	4	,	,	PUNCT
jbi-21742	161	5	eight	eight	NUM
jbi-21742	161	6	models	model	NOUN
jbi-21742	161	7	were	be	AUX
jbi-21742	161	8	excluded	exclude	VERB
jbi-21742	161	9	because	because	SCONJ
jbi-21742	161	10	they	they	PRON
jbi-21742	161	11	presented	present	VERB
jbi-21742	161	12	concave	concave	ADJ
jbi-21742	161	13	quadratic	quadratic	ADJ
jbi-21742	161	14	responses	response	NOUN
jbi-21742	161	15	.	.	PUNCT
jbi-21742	162	1	the	the	DET
jbi-21742	162	2	remaining	remain	VERB
jbi-21742	162	3	23	23	NUM
jbi-21742	162	4	models	model	NOUN
jbi-21742	162	5	met	meet	VERB
jbi-21742	162	6	the	the	DET
jbi-21742	162	7	next	next	ADJ
jbi-21742	162	8	criterion	criterion	NOUN
jbi-21742	162	9	with	with	ADP
jbi-21742	162	10	a	a	DET
jbi-21742	162	11	roc	roc	NOUN
jbi-21742	162	12	-	-	PUNCT
jbi-21742	162	13	auc	auc	NOUN
jbi-21742	162	14	larger	large	ADJ
jbi-21742	162	15	than	than	ADP
jbi-21742	162	16	0.5	0.5	NUM
jbi-21742	162	17	(	(	PUNCT
jbi-21742	162	18	table	table	NOUN
jbi-21742	162	19	2	2	NUM
jbi-21742	162	20	)	)	PUNCT
jbi-21742	162	21	.	.	PUNCT
jbi-21742	163	1	of	of	ADP
jbi-21742	163	2	these	these	DET
jbi-21742	163	3	models	model	NOUN
jbi-21742	163	4	,	,	PUNCT
jbi-21742	163	5	19	19	NUM
jbi-21742	163	6	performed	perform	VERB
jbi-21742	163	7	well	well	ADV
jbi-21742	163	8	,	,	PUNCT
jbi-21742	163	9	with	with	ADP
jbi-21742	163	10	a	a	DET
jbi-21742	163	11	tss	tss	NOUN
jbi-21742	163	12	larger	large	ADJ
jbi-21742	163	13	than	than	ADP
jbi-21742	163	14	0.4	0.4	NUM
jbi-21742	163	15	.	.	PUNCT
jbi-21742	164	1	finally	finally	ADV
jbi-21742	164	2	,	,	PUNCT
jbi-21742	164	3	only	only	ADV
jbi-21742	164	4	two	two	NUM
jbi-21742	164	5	models	model	NOUN
jbi-21742	164	6	met	meet	VERB
jbi-21742	164	7	all	all	PRON
jbi-21742	164	8	of	of	ADP
jbi-21742	164	9	the	the	DET
jbi-21742	164	10	evaluation	evaluation	NOUN
jbi-21742	164	11	criteria	criterion	NOUN
jbi-21742	164	12	regarding	regard	VERB
jbi-21742	164	13	discrimination	discrimination	NOUN
jbi-21742	164	14	,	,	PUNCT
jbi-21742	164	15	prediction	prediction	NOUN
jbi-21742	164	16	ability	ability	NOUN
jbi-21742	164	17	,	,	PUNCT
jbi-21742	164	18	and	and	CCONJ
jbi-21742	164	19	fitting	fitting	ADJ
jbi-21742	164	20	considering	consider	VERB
jbi-21742	164	21	complexity	complexity	NOUN
jbi-21742	164	22	(	(	PUNCT
jbi-21742	164	23	δaic	δaic	PROPN
jbi-21742	164	24	≤	≤	PROPN
jbi-21742	164	25	2	2	NUM
jbi-21742	164	26	)	)	PUNCT
jbi-21742	164	27	.	.	PUNCT
jbi-21742	165	1	response	response	NOUN
jbi-21742	165	2	curves	curve	NOUN
jbi-21742	165	3	for	for	ADP
jbi-21742	165	4	the	the	DET
jbi-21742	165	5	two	two	NUM
jbi-21742	165	6	climatic	climatic	ADJ
jbi-21742	165	7	variables	variable	NOUN
jbi-21742	165	8	presented	present	VERB
jbi-21742	165	9	a	a	DET
jbi-21742	165	10	well	well	ADV
jbi-21742	165	11	-	-	PUNCT
jbi-21742	165	12	defined	define	VERB
jbi-21742	165	13	gaussian	gaussian	ADJ
jbi-21742	165	14	shape	shape	NOUN
jbi-21742	165	15	(	(	PUNCT
jbi-21742	165	16	fig	fig	NOUN
jbi-21742	165	17	.	.	PUNCT
jbi-21742	165	18	1	1	NUM
jbi-21742	165	19	)	)	PUNCT
jbi-21742	165	20	.	.	PUNCT
jbi-21742	166	1	the	the	DET
jbi-21742	166	2	peak	peak	NOUN
jbi-21742	166	3	probability	probability	NOUN
jbi-21742	166	4	for	for	ADP
jbi-21742	166	5	bio-1	bio-1	NOUN
jbi-21742	166	6	occurs	occur	VERB
jbi-21742	166	7	at	at	ADP
jbi-21742	166	8	i	i	PROPN
jbi-21742	166	9	d	d	PROPN
jbi-21742	166	10	models	model	NOUN
jbi-21742	166	11	threshold	threshold	VERB
jbi-21742	166	12	roc	roc	NOUN
jbi-21742	166	13	-	-	PUNCT
jbi-21742	166	14	auc	auc	NOUN
jbi-21742	166	15	sensitivity	sensitivity	NOUN
jbi-21742	166	16	specificity	specificity	NOUN
jbi-21742	166	17	tss	tss	PROPN
jbi-21742	166	18	aicc	aicc	NOUN
jbi-21742	166	19	δ	δ	PROPN
jbi-21742	166	20	aic	aic	PROPN
jbi-21742	166	21	wi	wi	PROPN
jbi-21742	166	22	bimodality	bimodality	PROPN
jbi-21742	166	23	1	1	NUM
jbi-21742	166	24	b1	b1	VERB
jbi-21742	166	25	0.07	0.07	NUM
jbi-21742	166	26	±	±	NUM
jbi-21742	166	27	0.01	0.01	NUM
jbi-21742	166	28	0.87	0.87	NUM
jbi-21742	166	29	±	±	NUM
jbi-21742	166	30	0.02	0.02	NUM
jbi-21742	166	31	0.86	0.86	NUM
jbi-21742	166	32	±	±	NUM
jbi-21742	166	33	0.02	0.02	NUM
jbi-21742	166	34	0.73	0.73	NUM
jbi-21742	166	35	±	±	NUM
jbi-21742	166	36	0.04	0.04	NUM
jbi-21742	166	37	0.59	0.59	NUM
jbi-21742	166	38	±	±	NUM
jbi-21742	166	39	0.03	0.03	NUM
jbi-21742	166	40	2509.56	2509.56	NUM
jbi-21742	166	41	323.88	323.88	NUM
jbi-21742	166	42	0.00	0.00	NUM
jbi-21742	166	43	2	2	NUM
jbi-21742	166	44	b12	b12	NOUN
jbi-21742	166	45	0.09	0.09	NUM
jbi-21742	166	46	±	±	NUM
jbi-21742	166	47	0.02	0.02	NUM
jbi-21742	166	48	0.69	0.69	NUM
jbi-21742	166	49	±	±	NUM
jbi-21742	166	50	0.03	0.03	NUM
jbi-21742	166	51	0.76	0.76	NUM
jbi-21742	166	52	±	±	NUM
jbi-21742	166	53	0.16	0.16	NUM
jbi-21742	166	54	0.54	0.54	NUM
jbi-21742	166	55	±	±	NUM
jbi-21742	166	56	0.18	0.18	NUM
jbi-21742	166	57	0.30	0.30	NUM
jbi-21742	166	58	±	±	NUM
jbi-21742	166	59	0.05	0.05	NUM
jbi-21742	166	60	3164.57	3164.57	NUM
jbi-21742	166	61	978.89	978.89	NUM
jbi-21742	166	62	0.00	0.00	NUM
jbi-21742	166	63	3	3	NUM
jbi-21742	166	64	i(b1	i(b1	NOUN
jbi-21742	166	65	^	^	SYM
jbi-21742	166	66	2	2	NUM
jbi-21742	166	67	)	)	PUNCT
jbi-21742	166	68	0.06	0.06	NUM
jbi-21742	166	69	±	±	NUM
jbi-21742	166	70	0.01	0.01	NUM
jbi-21742	166	71	0.86	0.86	NUM
jbi-21742	166	72	±	±	NUM
jbi-21742	166	73	0.02	0.02	NUM
jbi-21742	166	74	0.86	0.86	NUM
jbi-21742	166	75	±	±	NUM
jbi-21742	166	76	0.03	0.03	NUM
jbi-21742	166	77	0.73	0.73	NUM
jbi-21742	166	78	±	±	NUM
jbi-21742	166	79	0.03	0.03	NUM
jbi-21742	166	80	0.58	0.58	NUM
jbi-21742	166	81	±	±	NUM
jbi-21742	166	82	0.03	0.03	NUM
jbi-21742	166	83	2599.64	2599.64	NUM
jbi-21742	166	84	413.96	413.96	NUM
jbi-21742	166	85	0.00	0.00	NUM
jbi-21742	166	86	i(b1	i(b1	NOUN
jbi-21742	166	87	^	^	SYM
jbi-21742	166	88	2	2	NUM
jbi-21742	166	89	)	)	PUNCT
jbi-21742	166	90	4	4	NUM
jbi-21742	166	91	i(b12	i(b12	NUM
jbi-21742	166	92	^	^	SYM
jbi-21742	166	93	2	2	NUM
jbi-21742	166	94	)	)	PUNCT
jbi-21742	166	95	0.10	0.10	NUM
jbi-21742	166	96	±	±	NUM
jbi-21742	166	97	0.02	0.02	NUM
jbi-21742	166	98	0.69	0.69	NUM
jbi-21742	166	99	±	±	NUM
jbi-21742	166	100	0.03	0.03	NUM
jbi-21742	166	101	0.76	0.76	NUM
jbi-21742	166	102	±	±	NUM
jbi-21742	166	103	0.16	0.16	NUM
jbi-21742	166	104	0.54	0.54	NUM
jbi-21742	166	105	±	±	NUM
jbi-21742	166	106	0.18	0.18	NUM
jbi-21742	166	107	0.30	0.30	NUM
jbi-21742	166	108	±	±	NUM
jbi-21742	166	109	0.04	0.04	NUM
jbi-21742	166	110	3191.21	3191.21	NUM
jbi-21742	166	111	1005.53	1005.53	NUM
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jbi-21742	166	113	5	5	NUM
jbi-21742	166	114	b1	b1	NOUN
jbi-21742	166	115	:	:	PUNCT
jbi-21742	166	116	b12	b12	NOUN
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jbi-21742	166	118	±	±	NUM
jbi-21742	166	119	0.00	0.00	NUM
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jbi-21742	166	121	±	±	NUM
jbi-21742	166	122	0.03	0.03	NUM
jbi-21742	166	123	0.71	0.71	NUM
jbi-21742	166	124	±	±	NUM
jbi-21742	166	125	0.09	0.09	NUM
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jbi-21742	166	127	±	±	NUM
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jbi-21742	166	129	0.29	0.29	NUM
jbi-21742	166	130	±	±	NUM
jbi-21742	166	131	0.04	0.04	NUM
jbi-21742	166	132	3373.98	3373.98	NUM
jbi-21742	166	133	1188.30	1188.30	NUM
jbi-21742	166	134	0.00	0.00	NUM
jbi-21742	166	135	6	6	NUM
jbi-21742	166	136	b1	b1	NOUN
jbi-21742	166	137	+	+	CCONJ
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jbi-21742	166	143	±	±	NUM
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jbi-21742	166	146	±	±	NUM
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jbi-21742	166	149	±	±	NUM
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jbi-21742	166	152	±	±	NUM
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jbi-21742	166	158	b1	b1	NOUN
jbi-21742	166	159	+	+	CCONJ
jbi-21742	166	160	i(b1	i(b1	NOUN
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jbi-21742	166	166	0.02	0.02	NUM
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jbi-21742	166	171	±	±	NUM
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jbi-21742	166	175	0.05	0.05	NUM
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jbi-21742	166	177	±	±	NUM
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jbi-21742	166	184	+	+	CCONJ
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jbi-21742	166	190	±	±	NUM
jbi-21742	166	191	0.01	0.01	NUM
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jbi-21742	166	193	±	±	NUM
jbi-21742	166	194	0.02	0.02	NUM
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jbi-21742	166	196	±	±	NUM
jbi-21742	166	197	0.03	0.03	NUM
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jbi-21742	166	200	0.03	0.03	NUM
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jbi-21742	166	202	±	±	NUM
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jbi-21742	166	204	2308.20	2308.20	NUM
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jbi-21742	166	206	0.00	0.00	NUM
jbi-21742	166	207	9	9	NUM
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jbi-21742	166	209	+	+	CCONJ
jbi-21742	166	210	b1	b1	NOUN
jbi-21742	166	211	:	:	PUNCT
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jbi-21742	166	214	±	±	NUM
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jbi-21742	166	217	±	±	NUM
jbi-21742	166	218	0.02	0.02	NUM
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jbi-21742	166	220	±	±	NUM
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jbi-21742	166	223	±	±	NUM
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jbi-21742	166	227	0.04	0.04	NUM
jbi-21742	166	228	2370.91	2370.91	NUM
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jbi-21742	166	233	+	+	CCONJ
jbi-21742	166	234	i(b1	i(b1	NOUN
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jbi-21742	166	242	±	±	NUM
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jbi-21742	166	246	0.04	0.04	NUM
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jbi-21742	166	248	±	±	NUM
jbi-21742	166	249	0.01	0.01	NUM
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jbi-21742	166	251	±	±	NUM
jbi-21742	166	252	0.05	0.05	NUM
jbi-21742	166	253	2431.46	2431.46	NUM
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jbi-21742	166	257	^	^	SYM
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jbi-21742	166	259	)	)	PUNCT
jbi-21742	166	260	11	11	NUM
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jbi-21742	166	262	+	+	CCONJ
jbi-21742	166	263	i(b12	i(b12	NUM
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jbi-21742	166	267	0.09	0.09	NUM
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jbi-21742	166	283	978.00	978.00	NUM
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jbi-21742	166	291	+	+	CCONJ
jbi-21742	166	292	b1	b1	NOUN
jbi-21742	166	293	:	:	PUNCT
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jbi-21742	166	318	+	+	NUM
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jbi-21742	166	350	+	+	CCONJ
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jbi-21742	166	352	:	:	PUNCT
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jbi-21742	167	1	+	+	CCONJ
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jbi-21742	167	3	:	:	PUNCT
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jbi-21742	167	25	+	+	CCONJ
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jbi-21742	167	29	^	^	SYM
jbi-21742	167	30	2	2	NUM
jbi-21742	167	31	)	)	PUNCT
jbi-21742	167	32	0.09	0.09	NUM
jbi-21742	167	33	±	±	NUM
jbi-21742	167	34	0.02	0.02	NUM
jbi-21742	167	35	0.90	0.90	NUM
jbi-21742	167	36	±	±	NUM
jbi-21742	167	37	0.02	0.02	NUM
jbi-21742	167	38	0.86	0.86	NUM
jbi-21742	167	39	±	±	NUM
jbi-21742	167	40	0.04	0.04	NUM
jbi-21742	167	41	0.81	0.81	NUM
jbi-21742	167	42	±	±	NUM
jbi-21742	167	43	0.04	0.04	NUM
jbi-21742	167	44	0.68	0.68	NUM
jbi-21742	167	45	±	±	NUM
jbi-21742	167	46	0.04	0.04	NUM
jbi-21742	167	47	2257.71	2257.71	NUM
jbi-21742	167	48	72.03	72.03	NUM
jbi-21742	167	49	0.00	0.00	NUM
jbi-21742	167	50	17	17	NUM
jbi-21742	167	51	b1	b1	NOUN
jbi-21742	167	52	+	+	CCONJ
jbi-21742	167	53	b12	b12	NOUN
jbi-21742	167	54	+	+	CCONJ
jbi-21742	167	55	i(b12	i(b12	NUM
jbi-21742	167	56	^	^	SYM
jbi-21742	167	57	2	2	NUM
jbi-21742	167	58	)	)	PUNCT
jbi-21742	167	59	0.09	0.09	NUM
jbi-21742	167	60	±	±	NUM
jbi-21742	167	61	0.01	0.01	NUM
jbi-21742	167	62	0.90	0.90	NUM
jbi-21742	167	63	±	±	NUM
jbi-21742	167	64	0.02	0.02	NUM
jbi-21742	167	65	0.85	0.85	NUM
jbi-21742	167	66	±	±	NUM
jbi-21742	167	67	0.04	0.04	NUM
jbi-21742	167	68	0.83	0.83	NUM
jbi-21742	167	69	±	±	NUM
jbi-21742	167	70	0.03	0.03	NUM
jbi-21742	167	71	0.68	0.68	NUM
jbi-21742	167	72	±	±	NUM
jbi-21742	167	73	0.04	0.04	NUM
jbi-21742	167	74	2295.67	2295.67	NUM
jbi-21742	167	75	109.99	109.99	NUM
jbi-21742	167	76	0.00	0.00	NUM
jbi-21742	167	77	18	18	NUM
jbi-21742	167	78	b1	b1	NOUN
jbi-21742	167	79	+	+	CCONJ
jbi-21742	167	80	b12	b12	NOUN
jbi-21742	167	81	+	+	SYM
jbi-21742	167	82	b1	b1	NOUN
jbi-21742	167	83	:	:	PUNCT
jbi-21742	167	84	b12	b12	NOUN
jbi-21742	167	85	0.10	0.10	NUM
jbi-21742	167	86	±	±	NUM
jbi-21742	167	87	0.01	0.01	NUM
jbi-21742	167	88	0.89	0.89	NUM
jbi-21742	167	89	±	±	NUM
jbi-21742	167	90	0.02	0.02	NUM
jbi-21742	167	91	0.82	0.82	NUM
jbi-21742	167	92	±	±	NUM
jbi-21742	167	93	0.03	0.03	NUM
jbi-21742	167	94	0.83	0.83	NUM
jbi-21742	167	95	±	±	NUM
jbi-21742	167	96	0.03	0.03	NUM
jbi-21742	167	97	0.65	0.65	NUM
jbi-21742	167	98	±	±	NUM
jbi-21742	167	99	0.05	0.05	NUM
jbi-21742	167	100	2281.90	2281.90	NUM
jbi-21742	167	101	96.22	96.22	NUM
jbi-21742	167	102	0.00	0.00	NUM
jbi-21742	167	103	19	19	NUM
jbi-21742	167	104	b1	b1	NOUN
jbi-21742	167	105	+	+	CCONJ
jbi-21742	167	106	i(b1	i(b1	NOUN
jbi-21742	167	107	^	^	SYM
jbi-21742	167	108	2	2	NUM
jbi-21742	167	109	)	)	PUNCT
jbi-21742	167	110	+	+	NUM
jbi-21742	167	111	i(b12	i(b12	NUM
jbi-21742	167	112	^	^	SYM
jbi-21742	167	113	2	2	NUM
jbi-21742	167	114	)	)	PUNCT
jbi-21742	167	115	0.10	0.10	NUM
jbi-21742	167	116	±	±	NUM
jbi-21742	167	117	0.02	0.02	NUM
jbi-21742	167	118	0.90	0.90	NUM
jbi-21742	167	119	±	±	NUM
jbi-21742	167	120	0.02	0.02	NUM
jbi-21742	167	121	0.85	0.85	NUM
jbi-21742	167	122	±	±	NUM
jbi-21742	167	123	0.05	0.05	NUM
jbi-21742	167	124	0.83	0.83	NUM
jbi-21742	167	125	±	±	NUM
jbi-21742	167	126	0.03	0.03	NUM
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jbi-21742	167	128	±	±	NUM
jbi-21742	167	129	0.04	0.04	NUM
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jbi-21742	167	131	41.42	41.42	NUM
jbi-21742	167	132	0.00	0.00	NUM
jbi-21742	167	133	20	20	NUM
jbi-21742	167	134	b1	b1	NOUN
jbi-21742	167	135	+	+	CCONJ
jbi-21742	167	136	i(b1	i(b1	NOUN
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jbi-21742	167	138	2	2	NUM
jbi-21742	167	139	)	)	PUNCT
jbi-21742	167	140	+	+	CCONJ
jbi-21742	167	141	b1	b1	NOUN
jbi-21742	167	142	:	:	PUNCT
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jbi-21742	167	144	0.09	0.09	NUM
jbi-21742	167	145	±	±	NUM
jbi-21742	167	146	0.02	0.02	NUM
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jbi-21742	167	149	0.01	0.01	NUM
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jbi-21742	167	152	0.04	0.04	NUM
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jbi-21742	167	154	±	±	NUM
jbi-21742	167	155	0.03	0.03	NUM
jbi-21742	167	156	0.67	0.67	NUM
jbi-21742	167	157	±	±	NUM
jbi-21742	167	158	0.03	0.03	NUM
jbi-21742	167	159	2287.32	2287.32	NUM
jbi-21742	167	160	101.64	101.64	NUM
jbi-21742	167	161	0.00	0.00	NUM
jbi-21742	167	162	21	21	NUM
jbi-21742	167	163	b1	b1	NOUN
jbi-21742	167	164	+	+	CCONJ
jbi-21742	167	165	i(b12	i(b12	NUM
jbi-21742	167	166	^	^	SYM
jbi-21742	167	167	2	2	NUM
jbi-21742	167	168	)	)	PUNCT
jbi-21742	167	169	+	+	CCONJ
jbi-21742	168	1	b1	b1	NOUN
jbi-21742	168	2	:	:	PUNCT
jbi-21742	168	3	b12	b12	NOUN
jbi-21742	168	4	0.10	0.10	NUM
jbi-21742	168	5	±	±	NUM
jbi-21742	168	6	0.01	0.01	NUM
jbi-21742	168	7	0.90	0.90	NUM
jbi-21742	168	8	±	±	NUM
jbi-21742	168	9	0.02	0.02	NUM
jbi-21742	168	10	0.83	0.83	NUM
jbi-21742	168	11	±	±	NUM
jbi-21742	168	12	0.04	0.04	NUM
jbi-21742	168	13	0.85	0.85	NUM
jbi-21742	168	14	±	±	NUM
jbi-21742	168	15	0.03	0.03	NUM
jbi-21742	168	16	0.68	0.68	NUM
jbi-21742	168	17	±	±	NUM
jbi-21742	168	18	0.04	0.04	NUM
jbi-21742	168	19	2243.06	2243.06	NUM
jbi-21742	168	20	57.38	57.38	NUM
jbi-21742	168	21	0.00	0.00	NUM
jbi-21742	168	22	22	22	NUM
jbi-21742	168	23	b12	b12	NOUN
jbi-21742	168	24	+	+	CCONJ
jbi-21742	168	25	i(b1	i(b1	NOUN
jbi-21742	168	26	^	^	SYM
jbi-21742	168	27	2	2	NUM
jbi-21742	168	28	)	)	PUNCT
jbi-21742	168	29	+	+	NUM
jbi-21742	168	30	i(b12	i(b12	NUM
jbi-21742	168	31	^	^	SYM
jbi-21742	168	32	2	2	NUM
jbi-21742	168	33	)	)	PUNCT
jbi-21742	168	34	0.08	0.08	NUM
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jbi-21742	168	36	0.00	0.00	NUM
jbi-21742	168	37	0.90	0.90	NUM
jbi-21742	168	38	±	±	NUM
jbi-21742	168	39	0.02	0.02	NUM
jbi-21742	168	40	0.84	0.84	NUM
jbi-21742	168	41	±	±	NUM
jbi-21742	168	42	0.04	0.04	NUM
jbi-21742	168	43	0.84	0.84	NUM
jbi-21742	168	44	±	±	NUM
jbi-21742	168	45	0.03	0.03	NUM
jbi-21742	168	46	0.68	0.68	NUM
jbi-21742	168	47	±	±	NUM
jbi-21742	168	48	0.04	0.04	NUM
jbi-21742	168	49	2407.17	2407.17	NUM
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jbi-21742	168	52	i(b1	i(b1	NOUN
jbi-21742	168	53	^	^	SYM
jbi-21742	168	54	2	2	NUM
jbi-21742	168	55	)	)	PUNCT
jbi-21742	168	56	23	23	NUM
jbi-21742	168	57	b12	b12	NOUN
jbi-21742	168	58	+	+	CCONJ
jbi-21742	168	59	i(b1	i(b1	NOUN
jbi-21742	168	60	^	^	SYM
jbi-21742	168	61	2	2	NUM
jbi-21742	168	62	)	)	PUNCT
jbi-21742	168	63	+	+	CCONJ
jbi-21742	168	64	b1	b1	NOUN
jbi-21742	168	65	:	:	PUNCT
jbi-21742	168	66	b12	b12	NOUN
jbi-21742	168	67	0.10	0.10	NUM
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jbi-21742	168	69	0.02	0.02	NUM
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jbi-21742	168	72	0.02	0.02	NUM
jbi-21742	168	73	0.83	0.83	NUM
jbi-21742	168	74	±	±	NUM
jbi-21742	168	75	0.03	0.03	NUM
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jbi-21742	168	78	0.03	0.03	NUM
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jbi-21742	168	80	±	±	NUM
jbi-21742	168	81	0.06	0.06	NUM
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jbi-21742	168	84	0.00	0.00	NUM
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jbi-21742	168	86	^	^	SYM
jbi-21742	168	87	2	2	NUM
jbi-21742	168	88	)	)	PUNCT
jbi-21742	168	89	24	24	NUM
jbi-21742	168	90	b12	b12	NOUN
jbi-21742	168	91	+	+	CCONJ
jbi-21742	168	92	i(b12	i(b12	NUM
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jbi-21742	168	94	2	2	NUM
jbi-21742	168	95	)	)	PUNCT
jbi-21742	168	96	+	+	CCONJ
jbi-21742	168	97	b1	b1	NOUN
jbi-21742	168	98	:	:	PUNCT
jbi-21742	168	99	b12	b12	NOUN
jbi-21742	168	100	0.10	0.10	NUM
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jbi-21742	168	102	0.00	0.00	NUM
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jbi-21742	168	105	0.02	0.02	NUM
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jbi-21742	168	108	0.04	0.04	NUM
jbi-21742	168	109	0.82	0.82	NUM
jbi-21742	168	110	±	±	NUM
jbi-21742	168	111	0.01	0.01	NUM
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jbi-21742	168	113	±	±	NUM
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jbi-21742	168	123	+	+	NUM
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jbi-21742	168	126	2	2	NUM
jbi-21742	168	127	)	)	PUNCT
jbi-21742	169	1	+	+	CCONJ
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jbi-21742	169	3	:	:	PUNCT
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jbi-21742	169	7	0.01	0.01	NUM
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jbi-21742	169	9	±	±	NUM
jbi-21742	169	10	0.02	0.02	NUM
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jbi-21742	169	13	0.03	0.03	NUM
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jbi-21742	169	15	±	±	NUM
jbi-21742	169	16	0.03	0.03	NUM
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jbi-21742	169	21	82.88	82.88	NUM
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jbi-21742	169	25	2	2	NUM
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jbi-21742	169	27	26	26	NUM
jbi-21742	169	28	b1	b1	NOUN
jbi-21742	169	29	+	+	CCONJ
jbi-21742	169	30	b12	b12	NOUN
jbi-21742	169	31	+	+	CCONJ
jbi-21742	169	32	i(b1	i(b1	NOUN
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jbi-21742	169	36	+	+	NUM
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jbi-21742	169	46	0.02	0.02	NUM
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jbi-21742	169	49	0.04	0.04	NUM
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jbi-21742	169	51	±	±	NUM
jbi-21742	169	52	0.03	0.03	NUM
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jbi-21742	169	54	±	±	NUM
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jbi-21742	169	61	+	+	CCONJ
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jbi-21742	169	70	:	:	PUNCT
jbi-21742	169	71	b12	b12	NOUN
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jbi-21742	169	85	±	±	NUM
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jbi-21742	169	99	+	+	CCONJ
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jbi-21742	169	122	*	*	NOUN
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jbi-21742	169	129	+	+	NUM
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jbi-21742	170	3	:	:	PUNCT
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jbi-21742	170	15	±	±	NUM
jbi-21742	170	16	0.03	0.03	NUM
jbi-21742	170	17	0.68	0.68	NUM
jbi-21742	170	18	±	±	NUM
jbi-21742	170	19	0.04	0.04	NUM
jbi-21742	170	20	2186.70	2186.70	NUM
jbi-21742	170	21	01.02	01.02	NUM
jbi-21742	170	22	0.38	0.38	NUM
jbi-21742	170	23	30	30	NUM
jbi-21742	170	24	b12	b12	NOUN
jbi-21742	170	25	+	+	CCONJ
jbi-21742	170	26	i(b1	i(b1	NOUN
jbi-21742	170	27	^	^	SYM
jbi-21742	170	28	2	2	NUM
jbi-21742	170	29	)	)	PUNCT
jbi-21742	170	30	+	+	NUM
jbi-21742	170	31	i(b12	i(b12	NUM
jbi-21742	170	32	^	^	SYM
jbi-21742	170	33	2	2	NUM
jbi-21742	170	34	)	)	PUNCT
jbi-21742	171	1	+	+	CCONJ
jbi-21742	171	2	b1	b1	NOUN
jbi-21742	171	3	:	:	PUNCT
jbi-21742	171	4	b12	b12	NOUN
jbi-21742	171	5	0.10	0.10	NUM
jbi-21742	171	6	±	±	NUM
jbi-21742	171	7	0.01	0.01	NUM
jbi-21742	171	8	0.89	0.89	NUM
jbi-21742	171	9	±	±	NUM
jbi-21742	171	10	0.02	0.02	NUM
jbi-21742	171	11	0.84	0.84	NUM
jbi-21742	171	12	±	±	NUM
jbi-21742	171	13	0.05	0.05	NUM
jbi-21742	171	14	0.82	0.82	NUM
jbi-21742	171	15	±	±	NUM
jbi-21742	171	16	0.02	0.02	NUM
jbi-21742	171	17	0.66	0.66	NUM
jbi-21742	171	18	±	±	NUM
jbi-21742	171	19	0.05	0.05	NUM
jbi-21742	171	20	2243.56	2243.56	NUM
jbi-21742	171	21	57.88	57.88	NUM
jbi-21742	171	22	0.00	0.00	NUM
jbi-21742	171	23	31	31	NUM
jbi-21742	171	24	*	*	NOUN
jbi-21742	171	25	b1	b1	NOUN
jbi-21742	171	26	+	+	CCONJ
jbi-21742	171	27	b12	b12	NOUN
jbi-21742	171	28	+	+	CCONJ
jbi-21742	171	29	i(b1	i(b1	NOUN
jbi-21742	171	30	^	^	SYM
jbi-21742	171	31	2	2	NUM
jbi-21742	171	32	)	)	PUNCT
jbi-21742	171	33	+	+	NUM
jbi-21742	171	34	i(b12	i(b12	NUM
jbi-21742	171	35	^	^	SYM
jbi-21742	171	36	2	2	NUM
jbi-21742	171	37	)	)	PUNCT
jbi-21742	172	1	+	+	CCONJ
jbi-21742	172	2	b1	b1	NOUN
jbi-21742	172	3	:	:	PUNCT
jbi-21742	172	4	b12	b12	NOUN
jbi-21742	172	5	0.10	0.10	NUM
jbi-21742	172	6	±	±	NUM
jbi-21742	172	7	0.02	0.02	NUM
jbi-21742	172	8	0.90	0.90	NUM
jbi-21742	172	9	±	±	NUM
jbi-21742	172	10	0.02	0.02	NUM
jbi-21742	172	11	0.86	0.86	NUM
jbi-21742	172	12	±	±	NUM
jbi-21742	172	13	0.04	0.04	NUM
jbi-21742	172	14	0.83	0.83	NUM
jbi-21742	172	15	±	±	NUM
jbi-21742	172	16	0.02	0.02	NUM
jbi-21742	172	17	0.68	0.68	NUM
jbi-21742	172	18	±	±	NUM
jbi-21742	172	19	0.04	0.04	NUM
jbi-21742	172	20	2185.68	2185.68	NUM
jbi-21742	172	21	0.00	0.00	NUM
jbi-21742	172	22	0.62	0.62	NUM
jbi-21742	172	23	table	table	NOUN
jbi-21742	172	24	2	2	NUM
jbi-21742	172	25	.	.	PUNCT
jbi-21742	172	26	model	model	NOUN
jbi-21742	172	27	calibration	calibration	NOUN
jbi-21742	172	28	summary	summary	NOUN
jbi-21742	172	29	.	.	PUNCT
jbi-21742	173	1	the	the	DET
jbi-21742	173	2	table	table	NOUN
jbi-21742	173	3	displays	display	VERB
jbi-21742	173	4	the	the	DET
jbi-21742	173	5	evaluation	evaluation	NOUN
jbi-21742	173	6	of	of	ADP
jbi-21742	173	7	the	the	DET
jbi-21742	173	8	main	main	ADJ
jbi-21742	173	9	metrics	metric	NOUN
jbi-21742	173	10	for	for	ADP
jbi-21742	173	11	the	the	DET
jbi-21742	173	12	31	31	NUM
jbi-21742	173	13	candidates	candidate	NOUN
jbi-21742	173	14	evaluated	evaluate	VERB
jbi-21742	173	15	using	use	VERB
jbi-21742	173	16	a	a	DET
jbi-21742	173	17	cross	cross	ADJ
jbi-21742	173	18	-	-	ADJ
jbi-21742	173	19	validated	validated	ADJ
jbi-21742	173	20	k	k	NOUN
jbi-21742	173	21	-	-	ADJ
jbi-21742	173	22	fold	fold	ADJ
jbi-21742	173	23	(	(	PUNCT
jbi-21742	173	24	k	k	NOUN
jbi-21742	173	25	=	=	SYM
jbi-21742	173	26	5	5	NUM
jbi-21742	173	27	)	)	PUNCT
jbi-21742	173	28	analysis	analysis	NOUN
jbi-21742	173	29	.	.	PUNCT
jbi-21742	174	1	the	the	DET
jbi-21742	174	2	most	most	ADV
jbi-21742	174	3	robust	robust	ADJ
jbi-21742	174	4	models	model	NOUN
jbi-21742	174	5	selected	select	VERB
jbi-21742	174	6	using	use	VERB
jbi-21742	174	7	three	three	NUM
jbi-21742	174	8	criteria	criterion	NOUN
jbi-21742	174	9	implemented	implement	VERB
jbi-21742	174	10	in	in	ADP
jbi-21742	174	11	enmpa	enmpa	NOUN
jbi-21742	174	12	are	be	AUX
jbi-21742	174	13	indicated	indicate	VERB
jbi-21742	174	14	in	in	ADP
jbi-21742	174	15	bold	bold	ADJ
jbi-21742	174	16	.	.	PUNCT
jbi-21742	175	1	roc	roc	NOUN
jbi-21742	175	2	-	-	PUNCT
jbi-21742	175	3	auc	auc	NOUN
jbi-21742	175	4	,	,	PUNCT
jbi-21742	175	5	sensitivity	sensitivity	NOUN
jbi-21742	175	6	,	,	PUNCT
jbi-21742	175	7	specificity	specificity	NOUN
jbi-21742	175	8	,	,	PUNCT
jbi-21742	175	9	and	and	CCONJ
jbi-21742	175	10	tss	tss	NOUN
jbi-21742	175	11	values	value	NOUN
jbi-21742	175	12	are	be	AUX
jbi-21742	175	13	presented	present	VERB
jbi-21742	175	14	as	as	ADP
jbi-21742	175	15	mean	mean	NOUN
jbi-21742	175	16	±	±	NUM
jbi-21742	175	17	sd	sd	NOUN
jbi-21742	175	18	.	.	PUNCT
jbi-21742	176	1	threshold	threshold	NOUN
jbi-21742	176	2	values	value	NOUN
jbi-21742	176	3	were	be	AUX
jbi-21742	176	4	estimated	estimate	VERB
jbi-21742	176	5	based	base	VERB
jbi-21742	176	6	on	on	ADP
jbi-21742	176	7	the	the	DET
jbi-21742	176	8	maximum	maximum	PROPN
jbi-21742	176	9	tss	tss	PROPN
jbi-21742	176	10	criteria	criterion	NOUN
jbi-21742	176	11	.	.	PUNCT
jbi-21742	177	1	the	the	DET
jbi-21742	177	2	bimodality	bimodality	NOUN
jbi-21742	177	3	column	column	NOUN
jbi-21742	177	4	displays	display	VERB
jbi-21742	177	5	the	the	DET
jbi-21742	177	6	predictors	predictor	NOUN
jbi-21742	177	7	that	that	PRON
jbi-21742	177	8	demonstrate	demonstrate	VERB
jbi-21742	177	9	a	a	DET
jbi-21742	177	10	concave	concave	ADJ
jbi-21742	177	11	response	response	NOUN
jbi-21742	177	12	curve	curve	NOUN
jbi-21742	177	13	.	.	PUNCT
jbi-21742	178	1	the	the	DET
jbi-21742	178	2	name	name	NOUN
jbi-21742	178	3	of	of	ADP
jbi-21742	178	4	variables	variable	NOUN
jbi-21742	178	5	was	be	AUX
jbi-21742	178	6	shortened	shorten	VERB
jbi-21742	178	7	as	as	SCONJ
jbi-21742	178	8	follows	follow	VERB
jbi-21742	178	9	b	b	PROPN
jbi-21742	178	10	=	=	X
jbi-21742	178	11	bio	bio	NOUN
jbi-21742	178	12	.	.	PROPN
jbi-21742	178	13	*	*	PUNCT
jbi-21742	179	1	best	good	ADJ
jbi-21742	179	2	models	model	NOUN
jbi-21742	179	3	based	base	VERB
jbi-21742	179	4	on	on	ADP
jbi-21742	179	5	the	the	DET
jbi-21742	179	6	selection	selection	NOUN
jbi-21742	179	7	criteria	criterion	NOUN
jbi-21742	179	8	.	.	PUNCT
jbi-21742	180	1	arias	arias	PROPN
jbi-21742	180	2	-	-	PUNCT
jbi-21742	180	3	giraldo	giraldo	PROPN
jbi-21742	180	4	et	et	PROPN
jbi-21742	180	5	al	al	PROPN
jbi-21742	180	6	.	.	PROPN
jbi-21742	180	7	–	–	PUNCT
jbi-21742	180	8	enmpa	enmpa	NOUN
jbi-21742	180	9	35	35	NUM
jbi-21742	180	10	figure	figure	NOUN
jbi-21742	180	11	1	1	NUM
jbi-21742	180	12	.	.	PUNCT
jbi-21742	181	1	bioclimatic	bioclimatic	ADJ
jbi-21742	181	2	variable	variable	ADJ
jbi-21742	181	3	response	response	NOUN
jbi-21742	181	4	and	and	CCONJ
jbi-21742	181	5	importance	importance	NOUN
jbi-21742	181	6	across	across	ADP
jbi-21742	181	7	models	model	NOUN
jbi-21742	181	8	.	.	PUNCT
jbi-21742	182	1	the	the	DET
jbi-21742	182	2	upper	upper	ADJ
jbi-21742	182	3	half	half	NOUN
jbi-21742	182	4	illustrates	illustrate	VERB
jbi-21742	182	5	the	the	DET
jbi-21742	182	6	response	response	NOUN
jbi-21742	182	7	curves	curve	NOUN
jbi-21742	182	8	of	of	ADP
jbi-21742	182	9	the	the	DET
jbi-21742	182	10	species	specie	NOUN
jbi-21742	182	11	to	to	ADP
jbi-21742	182	12	variables	variable	NOUN
jbi-21742	182	13	bio-1	bio-1	PUNCT
jbi-21742	182	14	(	(	PUNCT
jbi-21742	182	15	annual	annual	ADJ
jbi-21742	182	16	mean	mean	ADJ
jbi-21742	182	17	temperature	temperature	NOUN
jbi-21742	182	18	ºc	ºc	PROPN
jbi-21742	182	19	)	)	PUNCT
jbi-21742	182	20	and	and	CCONJ
jbi-21742	182	21	bio-12	bio-12	NOUN
jbi-21742	182	22	(	(	PUNCT
jbi-21742	182	23	annual	annual	ADJ
jbi-21742	182	24	precipitation	precipitation	NOUN
jbi-21742	182	25	mm	mm	NOUN
jbi-21742	182	26	)	)	PUNCT
jbi-21742	182	27	across	across	ADP
jbi-21742	182	28	the	the	DET
jbi-21742	182	29	two	two	NUM
jbi-21742	182	30	best	good	ADJ
jbi-21742	182	31	models	model	NOUN
jbi-21742	182	32	(	(	PUNCT
jbi-21742	182	33	i	i	NOUN
jbi-21742	182	34	d	d	PROPN
jbi-21742	182	35	29	29	NUM
jbi-21742	182	36	and	and	CCONJ
jbi-21742	182	37	i	i	NOUN
jbi-21742	182	38	d	d	PROPN
jbi-21742	182	39	31	31	NUM
jbi-21742	182	40	)	)	PUNCT
jbi-21742	182	41	,	,	PUNCT
jbi-21742	182	42	and	and	CCONJ
jbi-21742	182	43	the	the	DET
jbi-21742	182	44	vertical	vertical	ADJ
jbi-21742	182	45	dashed	dash	VERB
jbi-21742	182	46	lines	line	NOUN
jbi-21742	182	47	mark	mark	VERB
jbi-21742	182	48	environmental	environmental	ADJ
jbi-21742	182	49	limits	limit	NOUN
jbi-21742	182	50	of	of	ADP
jbi-21742	182	51	the	the	DET
jbi-21742	182	52	calibration	calibration	NOUN
jbi-21742	182	53	data	datum	NOUN
jbi-21742	182	54	.	.	PUNCT
jbi-21742	183	1	the	the	DET
jbi-21742	183	2	lower	low	ADJ
jbi-21742	183	3	half	half	NOUN
jbi-21742	183	4	of	of	ADP
jbi-21742	183	5	the	the	DET
jbi-21742	183	6	figure	figure	NOUN
jbi-21742	183	7	shows	show	VERB
jbi-21742	183	8	a	a	DET
jbi-21742	183	9	boxplot	boxplot	NOUN
jbi-21742	183	10	detailing	detail	VERB
jbi-21742	183	11	the	the	DET
jbi-21742	183	12	distribution	distribution	NOUN
jbi-21742	183	13	of	of	ADP
jbi-21742	183	14	variable	variable	ADJ
jbi-21742	183	15	importance	importance	NOUN
jbi-21742	183	16	values	value	NOUN
jbi-21742	183	17	among	among	ADP
jbi-21742	183	18	selected	select	VERB
jbi-21742	183	19	models	model	NOUN
jbi-21742	183	20	and	and	CCONJ
jbi-21742	183	21	highlighting	highlight	VERB
jbi-21742	183	22	the	the	DET
jbi-21742	183	23	variability	variability	NOUN
jbi-21742	183	24	and	and	CCONJ
jbi-21742	183	25	median	median	ADJ
jbi-21742	183	26	importance	importance	NOUN
jbi-21742	183	27	of	of	ADP
jbi-21742	183	28	predictors	predictor	NOUN
jbi-21742	183	29	.	.	PUNCT
jbi-21742	184	1	the	the	DET
jbi-21742	184	2	importance	importance	NOUN
jbi-21742	184	3	of	of	ADP
jbi-21742	184	4	variables	variable	NOUN
jbi-21742	184	5	,	,	PUNCT
jbi-21742	184	6	measured	measure	VERB
jbi-21742	184	7	by	by	ADP
jbi-21742	184	8	explained	explain	VERB
jbi-21742	184	9	deviance	deviance	NOUN
jbi-21742	184	10	,	,	PUNCT
jbi-21742	184	11	incorporates	incorporate	VERB
jbi-21742	184	12	linear	linear	ADJ
jbi-21742	184	13	,	,	PUNCT
jbi-21742	184	14	quadratic	quadratic	ADJ
jbi-21742	184	15	terms	term	NOUN
jbi-21742	184	16	(	(	PUNCT
jbi-21742	184	17	denoted	denote	VERB
jbi-21742	184	18	as	as	ADP
jbi-21742	184	19	i(var^2	i(var^2	NOUN
jbi-21742	184	20	)	)	PUNCT
jbi-21742	184	21	)	)	PUNCT
jbi-21742	184	22	and	and	CCONJ
jbi-21742	184	23	two	two	NUM
jbi-21742	184	24	-	-	PUNCT
jbi-21742	184	25	way	way	NOUN
jbi-21742	184	26	interaction	interaction	NOUN
jbi-21742	184	27	.	.	PUNCT
jbi-21742	185	1	the	the	DET
jbi-21742	185	2	y	y	NOUN
jbi-21742	185	3	-	-	PUNCT
jbi-21742	185	4	axis	axis	NOUN
jbi-21742	185	5	represents	represent	VERB
jbi-21742	185	6	the	the	DET
jbi-21742	185	7	importance	importance	NOUN
jbi-21742	185	8	values	value	NOUN
jbi-21742	185	9	,	,	PUNCT
jbi-21742	185	10	with	with	ADP
jbi-21742	185	11	boxplots	boxplot	NOUN
jbi-21742	185	12	delineating	delineate	VERB
jbi-21742	185	13	the	the	DET
jbi-21742	185	14	interquartile	interquartile	ADJ
jbi-21742	185	15	range	range	NOUN
jbi-21742	185	16	and	and	CCONJ
jbi-21742	185	17	median	median	ADJ
jbi-21742	185	18	value	value	NOUN
jbi-21742	185	19	.	.	PUNCT
jbi-21742	186	1	the	the	DET
jbi-21742	186	2	frequency	frequency	NOUN
jbi-21742	186	3	of	of	ADP
jbi-21742	186	4	predictor	predictor	NOUN
jbi-21742	186	5	inclusion	inclusion	NOUN
jbi-21742	186	6	across	across	ADP
jbi-21742	186	7	models	model	NOUN
jbi-21742	186	8	is	be	AUX
jbi-21742	186	9	also	also	ADV
jbi-21742	186	10	noted	note	VERB
jbi-21742	186	11	,	,	PUNCT
jbi-21742	186	12	providing	provide	VERB
jbi-21742	186	13	insight	insight	NOUN
jbi-21742	186	14	into	into	ADP
jbi-21742	186	15	their	their	PRON
jbi-21742	186	16	relevance	relevance	NOUN
jbi-21742	186	17	for	for	ADP
jbi-21742	186	18	models	model	NOUN
jbi-21742	186	19	.	.	PUNCT
jbi-21742	187	1	arias	arias	PROPN
jbi-21742	187	2	-	-	PUNCT
jbi-21742	187	3	giraldo	giraldo	PROPN
jbi-21742	187	4	et	et	PROPN
jbi-21742	187	5	al	al	PROPN
jbi-21742	187	6	.	.	PROPN
jbi-21742	187	7	–	–	PUNCT
jbi-21742	187	8	enmpa	enmpa	NOUN
jbi-21742	187	9	36	36	NUM
jbi-21742	187	10	around	around	ADP
jbi-21742	187	11	20ºc	20ºc	ADJ
jbi-21742	187	12	,	,	PUNCT
jbi-21742	187	13	whereas	whereas	SCONJ
jbi-21742	187	14	for	for	ADP
jbi-21742	187	15	bio-12	bio-12	NOUN
jbi-21742	187	16	,	,	PUNCT
jbi-21742	187	17	the	the	DET
jbi-21742	187	18	maximum	maximum	ADJ
jbi-21742	187	19	probability	probability	NOUN
jbi-21742	187	20	was	be	AUX
jbi-21742	187	21	observed	observe	VERB
jbi-21742	187	22	for	for	ADP
jbi-21742	187	23	values	value	NOUN
jbi-21742	187	24	below	below	ADP
jbi-21742	187	25	500	500	NUM
jbi-21742	187	26	mm	mm	NOUN
jbi-21742	187	27	.	.	PUNCT
jbi-21742	188	1	extrapolation	extrapolation	NOUN
jbi-21742	188	2	of	of	ADP
jbi-21742	188	3	these	these	DET
jbi-21742	188	4	curves	curve	NOUN
jbi-21742	188	5	to	to	ADP
jbi-21742	188	6	values	value	NOUN
jbi-21742	188	7	outside	outside	ADP
jbi-21742	188	8	calibration	calibration	NOUN
jbi-21742	188	9	ranges	range	NOUN
jbi-21742	188	10	showed	show	VERB
jbi-21742	188	11	decreasing	decrease	VERB
jbi-21742	188	12	probabilities	probability	NOUN
jbi-21742	188	13	,	,	PUNCT
jbi-21742	188	14	indicating	indicate	VERB
jbi-21742	188	15	safe	safe	ADJ
jbi-21742	188	16	model	model	NOUN
jbi-21742	188	17	extrapolations	extrapolation	NOUN
jbi-21742	188	18	rather	rather	ADV
jbi-21742	188	19	than	than	ADP
jbi-21742	188	20	perpetual	perpetual	ADJ
jbi-21742	188	21	increments	increment	NOUN
jbi-21742	188	22	of	of	ADP
jbi-21742	188	23	probability	probability	NOUN
jbi-21742	188	24	towards	towards	ADP
jbi-21742	188	25	extreme	extreme	ADJ
jbi-21742	188	26	environmental	environmental	ADJ
jbi-21742	188	27	conditions	condition	NOUN
jbi-21742	188	28	.	.	PUNCT
jbi-21742	189	1	variable	variable	ADJ
jbi-21742	189	2	importance	importance	NOUN
jbi-21742	189	3	analysis	analysis	NOUN
jbi-21742	189	4	highlighted	highlight	VERB
jbi-21742	189	5	the	the	DET
jbi-21742	189	6	linear	linear	ADJ
jbi-21742	189	7	term	term	NOUN
jbi-21742	189	8	of	of	ADP
jbi-21742	189	9	bio-1	bio-1	PUNCT
jbi-21742	189	10	and	and	CCONJ
jbi-21742	189	11	the	the	DET
jbi-21742	189	12	quadratic	quadratic	ADJ
jbi-21742	189	13	terms	term	NOUN
jbi-21742	189	14	of	of	ADP
jbi-21742	189	15	both	both	DET
jbi-21742	189	16	variables	variable	NOUN
jbi-21742	189	17	as	as	ADP
jbi-21742	189	18	the	the	DET
jbi-21742	189	19	most	most	ADV
jbi-21742	189	20	relevant	relevant	ADJ
jbi-21742	189	21	predictors	predictor	NOUN
jbi-21742	189	22	(	(	PUNCT
jbi-21742	189	23	fig	fig	NOUN
jbi-21742	189	24	.	.	PUNCT
jbi-21742	189	25	1	1	NUM
jbi-21742	189	26	)	)	PUNCT
jbi-21742	189	27	.	.	PUNCT
jbi-21742	190	1	the	the	DET
jbi-21742	190	2	interaction	interaction	NOUN
jbi-21742	190	3	between	between	ADP
jbi-21742	190	4	variables	variable	NOUN
jbi-21742	190	5	,	,	PUNCT
jbi-21742	190	6	along	along	ADP
jbi-21742	190	7	with	with	ADP
jbi-21742	190	8	the	the	DET
jbi-21742	190	9	linear	linear	PROPN
jbi-21742	190	10	component	component	NOUN
jbi-21742	190	11	of	of	ADP
jbi-21742	190	12	bio-12	bio-12	NOUN
jbi-21742	190	13	,	,	PUNCT
jbi-21742	190	14	were	be	AUX
jbi-21742	190	15	found	find	VERB
jbi-21742	190	16	to	to	PART
jbi-21742	190	17	be	be	AUX
jbi-21742	190	18	less	less	ADV
jbi-21742	190	19	relevant	relevant	ADJ
jbi-21742	190	20	.	.	PUNCT
jbi-21742	191	1	despite	despite	SCONJ
jbi-21742	191	2	their	their	PRON
jbi-21742	191	3	minor	minor	ADJ
jbi-21742	191	4	contribution	contribution	NOUN
jbi-21742	191	5	,	,	PUNCT
jbi-21742	191	6	models	model	NOUN
jbi-21742	191	7	incorporating	incorporate	VERB
jbi-21742	191	8	these	these	DET
jbi-21742	191	9	predictors	predictor	NOUN
jbi-21742	191	10	were	be	AUX
jbi-21742	191	11	selected	select	VERB
jbi-21742	191	12	based	base	VERB
jbi-21742	191	13	on	on	ADP
jbi-21742	191	14	their	their	PRON
jbi-21742	191	15	superior	superior	ADJ
jbi-21742	191	16	goodness	goodness	NOUN
jbi-21742	191	17	of	of	ADP
jbi-21742	191	18	fit	fit	NOUN
jbi-21742	191	19	compared	compare	VERB
jbi-21742	191	20	to	to	ADP
jbi-21742	191	21	models	model	NOUN
jbi-21742	191	22	excluding	exclude	VERB
jbi-21742	191	23	them	they	PRON
jbi-21742	191	24	.	.	PUNCT
jbi-21742	192	1	the	the	DET
jbi-21742	192	2	geographic	geographic	ADJ
jbi-21742	192	3	predictions	prediction	NOUN
jbi-21742	192	4	of	of	ADP
jbi-21742	192	5	the	the	DET
jbi-21742	192	6	two	two	NUM
jbi-21742	192	7	selected	select	VERB
jbi-21742	192	8	models	model	NOUN
jbi-21742	192	9	showed	show	VERB
jbi-21742	192	10	consistent	consistent	ADJ
jbi-21742	192	11	patterns	pattern	NOUN
jbi-21742	192	12	,	,	PUNCT
jbi-21742	192	13	with	with	ADP
jbi-21742	192	14	higher	high	ADJ
jbi-21742	192	15	probability	probability	NOUN
jbi-21742	192	16	values	value	NOUN
jbi-21742	192	17	in	in	ADP
jbi-21742	192	18	the	the	DET
jbi-21742	192	19	southwestern	southwestern	ADJ
jbi-21742	192	20	parts	part	NOUN
jbi-21742	192	21	of	of	ADP
jbi-21742	192	22	the	the	DET
jbi-21742	192	23	united	united	PROPN
jbi-21742	192	24	states	states	PROPN
jbi-21742	192	25	(	(	PUNCT
jbi-21742	192	26	fig	fig	NOUN
jbi-21742	192	27	.	.	PUNCT
jbi-21742	193	1	2	2	NUM
jbi-21742	193	2	)	)	PUNCT
jbi-21742	193	3	.	.	PUNCT
jbi-21742	194	1	however	however	ADV
jbi-21742	194	2	,	,	PUNCT
jbi-21742	194	3	some	some	DET
jbi-21742	194	4	discrepancies	discrepancy	NOUN
jbi-21742	194	5	were	be	AUX
jbi-21742	194	6	noted	note	VERB
jbi-21742	194	7	in	in	ADP
jbi-21742	194	8	florida	florida	PROPN
jbi-21742	194	9	,	,	PUNCT
jbi-21742	194	10	where	where	SCONJ
jbi-21742	194	11	one	one	NUM
jbi-21742	194	12	model	model	NOUN
jbi-21742	194	13	estimates	estimate	VERB
jbi-21742	194	14	higher	high	ADJ
jbi-21742	194	15	probability	probability	NOUN
jbi-21742	194	16	values	value	NOUN
jbi-21742	194	17	than	than	ADP
jbi-21742	194	18	the	the	DET
jbi-21742	194	19	other	other	ADJ
jbi-21742	194	20	(	(	PUNCT
jbi-21742	194	21	fig	fig	NOUN
jbi-21742	194	22	.	.	PUNCT
jbi-21742	195	1	3	3	NUM
jbi-21742	195	2	)	)	PUNCT
jbi-21742	195	3	.	.	PUNCT
jbi-21742	196	1	the	the	DET
jbi-21742	196	2	effects	effect	NOUN
jbi-21742	196	3	of	of	ADP
jbi-21742	196	4	distinct	distinct	ADJ
jbi-21742	196	5	types	type	NOUN
jbi-21742	196	6	of	of	ADP
jbi-21742	196	7	extrapolation	extrapolation	NOUN
jbi-21742	196	8	were	be	AUX
jbi-21742	196	9	minor	minor	ADJ
jbi-21742	196	10	and	and	CCONJ
jbi-21742	196	11	mainly	mainly	ADV
jbi-21742	196	12	noticeable	noticeable	ADJ
jbi-21742	196	13	in	in	ADP
jbi-21742	196	14	florida	florida	PROPN
jbi-21742	196	15	(	(	PUNCT
jbi-21742	196	16	figs	fig	NOUN
jbi-21742	196	17	.	.	PUNCT
jbi-21742	197	1	2	2	NUM
jbi-21742	197	2	,	,	PUNCT
jbi-21742	197	3	3	3	NUM
jbi-21742	197	4	,	,	PUNCT
jbi-21742	197	5	fig	fig	NOUN
jbi-21742	197	6	.	.	PUNCT
jbi-21742	197	7	a3	a3	NOUN
jbi-21742	197	8	of	of	ADP
jbi-21742	197	9	appendix	appendix	NOUN
jbi-21742	197	10	)	)	PUNCT
jbi-21742	197	11	.	.	PUNCT
jbi-21742	198	1	independent	independent	ADJ
jbi-21742	198	2	data	data	PROPN
jbi-21742	198	3	validation	validation	NOUN
jbi-21742	198	4	confirmed	confirm	VERB
jbi-21742	198	5	the	the	DET
jbi-21742	198	6	comparable	comparable	ADJ
jbi-21742	198	7	performance	performance	NOUN
jbi-21742	198	8	of	of	ADP
jbi-21742	198	9	all	all	DET
jbi-21742	198	10	projected	project	VERB
jbi-21742	198	11	models	model	NOUN
jbi-21742	198	12	,	,	PUNCT
jbi-21742	198	13	although	although	SCONJ
jbi-21742	198	14	with	with	ADP
jbi-21742	198	15	slightly	slightly	ADV
jbi-21742	198	16	different	different	ADJ
jbi-21742	198	17	threshold	threshold	NOUN
jbi-21742	198	18	values	value	NOUN
jbi-21742	198	19	estimated	estimate	VERB
jbi-21742	198	20	for	for	ADP
jbi-21742	198	21	each	each	DET
jbi-21742	198	22	model	model	NOUN
jbi-21742	198	23	(	(	PUNCT
jbi-21742	198	24	tables	table	NOUN
jbi-21742	198	25	3	3	NUM
jbi-21742	198	26	and	and	CCONJ
jbi-21742	198	27	table	table	NOUN
jbi-21742	198	28	a1	a1	NOUN
jbi-21742	198	29	of	of	ADP
jbi-21742	198	30	appendix	appendix	NOUN
jbi-21742	198	31	)	)	PUNCT
jbi-21742	198	32	.	.	PUNCT
jbi-21742	199	1	discussion	discussion	NOUN
jbi-21742	199	2	understanding	understand	VERB
jbi-21742	199	3	how	how	SCONJ
jbi-21742	199	4	species	specie	NOUN
jbi-21742	199	5	are	be	AUX
jbi-21742	199	6	distributed	distribute	VERB
jbi-21742	199	7	in	in	ADP
jbi-21742	199	8	different	different	ADJ
jbi-21742	199	9	environments	environment	NOUN
jbi-21742	199	10	and	and	CCONJ
jbi-21742	199	11	predicting	predict	VERB
jbi-21742	199	12	how	how	SCONJ
jbi-21742	199	13	species	specie	NOUN
jbi-21742	199	14	will	will	AUX
jbi-21742	199	15	respond	respond	VERB
jbi-21742	199	16	to	to	ADP
jbi-21742	199	17	changes	change	NOUN
jbi-21742	199	18	is	be	AUX
jbi-21742	199	19	crucial	crucial	ADJ
jbi-21742	199	20	in	in	ADP
jbi-21742	199	21	research	research	NOUN
jbi-21742	199	22	in	in	ADP
jbi-21742	199	23	ecology	ecology	NOUN
jbi-21742	199	24	.	.	PUNCT
jbi-21742	200	1	ecological	ecological	ADJ
jbi-21742	200	2	niche	niche	NOUN
jbi-21742	200	3	modeling	modeling	NOUN
jbi-21742	200	4	helps	help	VERB
jbi-21742	200	5	in	in	ADP
jbi-21742	200	6	this	this	DET
jbi-21742	200	7	task	task	NOUN
jbi-21742	200	8	,	,	PUNCT
jbi-21742	200	9	and	and	CCONJ
jbi-21742	200	10	this	this	DET
jbi-21742	200	11	contribution	contribution	NOUN
jbi-21742	200	12	introduces	introduce	NOUN
jbi-21742	200	13	enmpa	enmpa	NOUN
jbi-21742	200	14	,	,	PUNCT
jbi-21742	200	15	an	an	DET
jbi-21742	200	16	r	r	NOUN
jbi-21742	200	17	package	package	NOUN
jbi-21742	200	18	that	that	PRON
jbi-21742	200	19	facilitates	facilitate	VERB
jbi-21742	200	20	calibration	calibration	NOUN
jbi-21742	200	21	of	of	ADP
jbi-21742	200	22	ecological	ecological	ADJ
jbi-21742	200	23	niche	niche	NOUN
jbi-21742	200	24	models	model	NOUN
jbi-21742	200	25	via	via	ADP
jbi-21742	200	26	glm	glm	PROPN
jbi-21742	200	27	.	.	PUNCT
jbi-21742	201	1	the	the	DET
jbi-21742	201	2	package	package	NOUN
jbi-21742	201	3	integrates	integrate	VERB
jbi-21742	201	4	a	a	DET
jbi-21742	201	5	set	set	NOUN
jbi-21742	201	6	of	of	ADP
jbi-21742	201	7	complex	complex	ADJ
jbi-21742	201	8	methodological	methodological	ADJ
jbi-21742	201	9	developments	development	NOUN
jbi-21742	201	10	in	in	ADP
jbi-21742	201	11	the	the	DET
jbi-21742	201	12	enm	enm	PROPN
jbi-21742	201	13	field	field	NOUN
jbi-21742	201	14	,	,	PUNCT
jbi-21742	201	15	using	use	VERB
jbi-21742	201	16	logistic	logistic	ADJ
jbi-21742	201	17	glms	glm	NOUN
jbi-21742	201	18	to	to	PART
jbi-21742	201	19	estimate	estimate	VERB
jbi-21742	201	20	the	the	DET
jbi-21742	201	21	probability	probability	NOUN
jbi-21742	201	22	of	of	ADP
jbi-21742	201	23	a	a	DET
jbi-21742	201	24	species	species	NOUN
jbi-21742	201	25	figure	figure	NOUN
jbi-21742	201	26	2	2	NUM
jbi-21742	201	27	.	.	PUNCT
jbi-21742	201	28	geographic	geographic	ADJ
jbi-21742	201	29	depiction	depiction	NOUN
jbi-21742	201	30	of	of	ADP
jbi-21742	201	31	estimated	estimate	VERB
jbi-21742	201	32	probability	probability	NOUN
jbi-21742	201	33	of	of	ADP
jbi-21742	201	34	occurrence	occurrence	NOUN
jbi-21742	201	35	for	for	ADP
jbi-21742	201	36	the	the	DET
jbi-21742	201	37	pathogen	pathogen	NOUN
jbi-21742	201	38	virtual	virtual	ADJ
jbi-21742	201	39	species	specie	NOUN
jbi-21742	201	40	deriving	derive	VERB
jbi-21742	201	41	from	from	ADP
jbi-21742	201	42	the	the	DET
jbi-21742	201	43	two	two	NUM
jbi-21742	201	44	final	final	ADJ
jbi-21742	201	45	selected	select	VERB
jbi-21742	201	46	models	model	NOUN
jbi-21742	201	47	allowing	allow	VERB
jbi-21742	201	48	free	free	ADJ
jbi-21742	201	49	extrapolation	extrapolation	NOUN
jbi-21742	201	50	.	.	PUNCT
jbi-21742	202	1	maps	map	NOUN
jbi-21742	202	2	are	be	AUX
jbi-21742	202	3	shown	show	VERB
jbi-21742	202	4	at	at	ADP
jbi-21742	202	5	a	a	DET
jbi-21742	202	6	spatial	spatial	ADJ
jbi-21742	202	7	resolution	resolution	NOUN
jbi-21742	202	8	of	of	ADP
jbi-21742	202	9	10	10	NUM
jbi-21742	202	10	’	'	PUNCT
jbi-21742	202	11	(	(	PUNCT
jbi-21742	202	12	~20	~20	NUM
jbi-21742	202	13	km	km	NOUN
jbi-21742	202	14	at	at	ADP
jbi-21742	202	15	the	the	DET
jbi-21742	202	16	equator	equator	NOUN
jbi-21742	202	17	)	)	PUNCT
jbi-21742	202	18	.	.	PUNCT
jbi-21742	203	1	arias	arias	PROPN
jbi-21742	203	2	-	-	PUNCT
jbi-21742	203	3	giraldo	giraldo	PROPN
jbi-21742	203	4	et	et	PROPN
jbi-21742	203	5	al	al	PROPN
jbi-21742	203	6	.	.	PROPN
jbi-21742	203	7	–	–	PUNCT
jbi-21742	203	8	enmpa	enmpa	NOUN
jbi-21742	203	9	37	37	NUM
jbi-21742	203	10	figure	figure	NOUN
jbi-21742	203	11	3	3	NUM
jbi-21742	203	12	.	.	PUNCT
jbi-21742	204	1	consensus	consensus	PROPN
jbi-21742	204	2	geographic	geographic	ADJ
jbi-21742	204	3	projection	projection	NOUN
jbi-21742	204	4	of	of	ADP
jbi-21742	204	5	probability	probability	NOUN
jbi-21742	204	6	of	of	ADP
jbi-21742	204	7	occurrence	occurrence	NOUN
jbi-21742	204	8	for	for	ADP
jbi-21742	204	9	the	the	DET
jbi-21742	204	10	pathogen	pathogen	NOUN
jbi-21742	204	11	virtual	virtual	ADJ
jbi-21742	204	12	species	specie	NOUN
jbi-21742	204	13	allowing	allow	VERB
jbi-21742	204	14	free	free	ADJ
jbi-21742	204	15	extrapolation	extrapolation	NOUN
jbi-21742	204	16	.	.	PUNCT
jbi-21742	205	1	the	the	DET
jbi-21742	205	2	figure	figure	NOUN
jbi-21742	205	3	displays	display	VERB
jbi-21742	205	4	the	the	DET
jbi-21742	205	5	probability	probability	NOUN
jbi-21742	205	6	of	of	ADP
jbi-21742	205	7	occurrence	occurrence	NOUN
jbi-21742	205	8	derived	derive	VERB
jbi-21742	205	9	from	from	ADP
jbi-21742	205	10	the	the	DET
jbi-21742	205	11	two	two	NUM
jbi-21742	205	12	final	final	ADJ
jbi-21742	205	13	selected	select	VERB
jbi-21742	205	14	models	model	NOUN
jbi-21742	205	15	using	use	VERB
jbi-21742	205	16	averaging	average	VERB
jbi-21742	205	17	metrics	metric	NOUN
jbi-21742	205	18	:	:	PUNCT
jbi-21742	205	19	mean	mean	ADJ
jbi-21742	205	20	,	,	PUNCT
jbi-21742	205	21	median	median	NOUN
jbi-21742	205	22	,	,	PUNCT
jbi-21742	205	23	and	and	CCONJ
jbi-21742	205	24	weighted	weight	VERB
jbi-21742	205	25	average	average	NOUN
jbi-21742	205	26	based	base	VERB
jbi-21742	205	27	on	on	ADP
jbi-21742	205	28	akaike	akaike	ADJ
jbi-21742	205	29	weights	weight	NOUN
jbi-21742	205	30	.	.	PUNCT
jbi-21742	206	1	in	in	ADP
jbi-21742	206	2	this	this	DET
jbi-21742	206	3	example	example	NOUN
jbi-21742	206	4	,	,	PUNCT
jbi-21742	206	5	since	since	SCONJ
jbi-21742	206	6	the	the	DET
jbi-21742	206	7	averaging	averaging	NOUN
jbi-21742	206	8	is	be	AUX
jbi-21742	206	9	calculated	calculate	VERB
jbi-21742	206	10	from	from	ADP
jbi-21742	206	11	two	two	NUM
jbi-21742	206	12	models	model	NOUN
jbi-21742	206	13	,	,	PUNCT
jbi-21742	206	14	the	the	DET
jbi-21742	206	15	median	median	NOUN
jbi-21742	206	16	coincides	coincide	VERB
jbi-21742	206	17	with	with	ADP
jbi-21742	206	18	the	the	DET
jbi-21742	206	19	mean	mean	NOUN
jbi-21742	206	20	.	.	PUNCT
jbi-21742	207	1	the	the	DET
jbi-21742	207	2	figure	figure	NOUN
jbi-21742	207	3	displays	display	VERB
jbi-21742	207	4	the	the	DET
jbi-21742	207	5	variance	variance	NOUN
jbi-21742	207	6	among	among	ADP
jbi-21742	207	7	the	the	DET
jbi-21742	207	8	three	three	NUM
jbi-21742	207	9	consensus	consensus	NOUN
jbi-21742	207	10	projections	projection	NOUN
jbi-21742	207	11	.	.	PUNCT
jbi-21742	208	1	the	the	DET
jbi-21742	208	2	maps	map	NOUN
jbi-21742	208	3	are	be	AUX
jbi-21742	208	4	shown	show	VERB
jbi-21742	208	5	at	at	ADP
jbi-21742	208	6	a	a	DET
jbi-21742	208	7	spatial	spatial	ADJ
jbi-21742	208	8	resolution	resolution	NOUN
jbi-21742	208	9	of	of	ADP
jbi-21742	208	10	10	10	NUM
jbi-21742	208	11	‘	'	PUNCT
jbi-21742	208	12	(	(	PUNCT
jbi-21742	208	13	~20	~20	NUM
jbi-21742	208	14	km	km	NOUN
jbi-21742	208	15	at	at	ADP
jbi-21742	208	16	the	the	DET
jbi-21742	208	17	equator	equator	NOUN
jbi-21742	208	18	)	)	PUNCT
jbi-21742	208	19	.	.	PUNCT
jbi-21742	209	1	model	model	NOUN
jbi-21742	209	2	threshold	threshold	NOUN
jbi-21742	209	3	criteria	criterion	NOUN
jbi-21742	209	4	threshold	threshold	VERB
jbi-21742	209	5	roc	roc	NOUN
jbi-21742	209	6	-	-	PUNCT
jbi-21742	209	7	auc	auc	NOUN
jbi-21742	209	8	false	false	ADJ
jbi-21742	209	9	positive	positive	ADJ
jbi-21742	209	10	rate	rate	NOUN
jbi-21742	209	11	accuracy	accuracy	NOUN
jbi-21742	209	12	sensitivity	sensitivity	NOUN
jbi-21742	209	13	specificity	specificity	NOUN
jbi-21742	209	14	tss	tss	PROPN
jbi-21742	209	15	i	i	PROPN
jbi-21742	209	16	d	d	PROPN
jbi-21742	209	17	29	29	NUM
jbi-21742	209	18	ess	ess	NOUN
jbi-21742	209	19	0.140	0.140	NUM
jbi-21742	209	20	0.957	0.957	NUM
jbi-21742	209	21	0.090	0.090	NUM
jbi-21742	209	22	0.910	0.910	NUM
jbi-21742	209	23	0.909	0.909	NUM
jbi-21742	209	24	0.910	0.910	NUM
jbi-21742	209	25	0.819	0.819	NUM
jbi-21742	209	26	maxtss	maxtss	VERB
jbi-21742	209	27	0.117	0.117	NUM
jbi-21742	209	28	0.957	0.957	NUM
jbi-21742	209	29	0.101	0.101	NUM
jbi-21742	209	30	0.910	0.910	NUM
jbi-21742	209	31	1.000	1.000	NUM
jbi-21742	209	32	0.899	0.899	NUM
jbi-21742	209	33	0.899	0.899	NUM
jbi-21742	210	1	sen90	sen90	PROPN
jbi-21742	210	2	0.131	0.131	NUM
jbi-21742	210	3	0.957	0.957	NUM
jbi-21742	210	4	0.101	0.101	NUM
jbi-21742	210	5	0.900	0.900	NUM
jbi-21742	210	6	0.909	0.909	NUM
jbi-21742	210	7	0.899	0.899	NUM
jbi-21742	210	8	0.808	0.808	NUM
jbi-21742	211	1	i	i	PROPN
jbi-21742	211	2	d	d	PROPN
jbi-21742	211	3	31	31	NUM
jbi-21742	211	4	ess	ess	VERB
jbi-21742	211	5	0.158	0.158	NUM
jbi-21742	211	6	0.957	0.957	NUM
jbi-21742	211	7	0.090	0.090	NUM
jbi-21742	211	8	0.910	0.910	NUM
jbi-21742	211	9	0.909	0.909	NUM
jbi-21742	211	10	0.910	0.910	NUM
jbi-21742	211	11	0.819	0.819	NUM
jbi-21742	211	12	maxtss	maxtss	NOUN
jbi-21742	211	13	0.135	0.135	NUM
jbi-21742	211	14	0.957	0.957	NUM
jbi-21742	211	15	0.101	0.101	NUM
jbi-21742	211	16	0.910	0.910	NUM
jbi-21742	211	17	1.000	1.000	NUM
jbi-21742	211	18	0.899	0.899	NUM
jbi-21742	211	19	0.899	0.899	NUM
jbi-21742	211	20	sen90	sen90	PROPN
jbi-21742	212	1	0.144	0.144	NUM
jbi-21742	212	2	0.957	0.957	NUM
jbi-21742	212	3	0.101	0.101	NUM
jbi-21742	212	4	0.900	0.900	NUM
jbi-21742	212	5	0.909	0.909	NUM
jbi-21742	212	6	0.899	0.899	NUM
jbi-21742	212	7	0.808	0.808	NUM
jbi-21742	212	8	consensus	consensus	NOUN
jbi-21742	212	9	(	(	PUNCT
jbi-21742	212	10	weighted	weight	VERB
jbi-21742	212	11	average	average	ADJ
jbi-21742	212	12	)	)	PUNCT
jbi-21742	212	13	ess	ess	NOUN
jbi-21742	212	14	0.150	0.150	NUM
jbi-21742	212	15	0.957	0.957	NUM
jbi-21742	212	16	0.090	0.090	NUM
jbi-21742	212	17	0.910	0.910	NUM
jbi-21742	212	18	0.909	0.909	NUM
jbi-21742	212	19	0.910	0.910	NUM
jbi-21742	212	20	0.819	0.819	NUM
jbi-21742	212	21	maxtss	maxtss	NOUN
jbi-21742	212	22	0.127	0.127	NUM
jbi-21742	212	23	0.957	0.957	NUM
jbi-21742	212	24	0.101	0.101	NUM
jbi-21742	212	25	0.910	0.910	NUM
jbi-21742	212	26	1.000	1.000	NUM
jbi-21742	212	27	0.899	0.899	NUM
jbi-21742	212	28	0.899	0.899	NUM
jbi-21742	212	29	sen90	sen90	PROPN
jbi-21742	212	30	0.139	0.139	NUM
jbi-21742	212	31	0.957	0.957	NUM
jbi-21742	212	32	0.101	0.101	NUM
jbi-21742	212	33	0.900	0.900	NUM
jbi-21742	212	34	0.909	0.909	NUM
jbi-21742	212	35	0.899	0.899	NUM
jbi-21742	212	36	0.810	0.810	NUM
jbi-21742	212	37	table	table	NOUN
jbi-21742	212	38	3	3	NUM
jbi-21742	212	39	.	.	PUNCT
jbi-21742	212	40	evaluation	evaluation	NOUN
jbi-21742	212	41	of	of	ADP
jbi-21742	212	42	the	the	DET
jbi-21742	212	43	two	two	NUM
jbi-21742	212	44	selected	select	VERB
jbi-21742	212	45	models	model	NOUN
jbi-21742	212	46	and	and	CCONJ
jbi-21742	212	47	the	the	DET
jbi-21742	212	48	consensus	consensus	NOUN
jbi-21742	212	49	using	use	VERB
jbi-21742	212	50	an	an	DET
jbi-21742	212	51	independent	independent	ADJ
jbi-21742	212	52	data	datum	NOUN
jbi-21742	212	53	set	set	VERB
jbi-21742	212	54	with	with	ADP
jbi-21742	212	55	presence	presence	NOUN
jbi-21742	212	56	and	and	CCONJ
jbi-21742	212	57	absence	absence	NOUN
jbi-21742	212	58	records	record	NOUN
jbi-21742	212	59	.	.	PUNCT
jbi-21742	213	1	the	the	DET
jbi-21742	213	2	classification	classification	NOUN
jbi-21742	213	3	capacities	capacity	NOUN
jbi-21742	213	4	of	of	ADP
jbi-21742	213	5	the	the	DET
jbi-21742	213	6	final	final	ADJ
jbi-21742	213	7	prediction	prediction	NOUN
jbi-21742	213	8	were	be	AUX
jbi-21742	213	9	calculated	calculate	VERB
jbi-21742	213	10	using	use	VERB
jbi-21742	213	11	the	the	DET
jbi-21742	213	12	confusion	confusion	NOUN
jbi-21742	213	13	matrix	matrix	NOUN
jbi-21742	213	14	based	base	VERB
jbi-21742	213	15	on	on	ADP
jbi-21742	213	16	three	three	NUM
jbi-21742	213	17	threshold	threshold	NOUN
jbi-21742	213	18	criteria	criterion	NOUN
jbi-21742	213	19	.	.	PUNCT
jbi-21742	214	1	occurring	occur	VERB
jbi-21742	214	2	in	in	ADP
jbi-21742	214	3	a	a	DET
jbi-21742	214	4	particular	particular	ADJ
jbi-21742	214	5	environment	environment	NOUN
jbi-21742	214	6	(	(	PUNCT
jbi-21742	214	7	austin	austin	PROPN
jbi-21742	214	8	2002	2002	NUM
jbi-21742	214	9	,	,	PUNCT
jbi-21742	214	10	2007	2007	NUM
jbi-21742	214	11	;	;	PUNCT
jbi-21742	214	12	ward	ward	NOUN
jbi-21742	214	13	et	et	PROPN
jbi-21742	214	14	al	al	PROPN
jbi-21742	214	15	.	.	PROPN
jbi-21742	214	16	2009	2009	NUM
jbi-21742	214	17	)	)	PUNCT
jbi-21742	214	18	.	.	PUNCT
jbi-21742	215	1	the	the	DET
jbi-21742	215	2	tools	tool	NOUN
jbi-21742	215	3	developed	develop	VERB
jbi-21742	215	4	in	in	ADP
jbi-21742	215	5	this	this	DET
jbi-21742	215	6	package	package	NOUN
jbi-21742	215	7	are	be	AUX
jbi-21742	215	8	particularly	particularly	ADV
jbi-21742	215	9	interesting	interesting	ADJ
jbi-21742	215	10	for	for	ADP
jbi-21742	215	11	studies	study	NOUN
jbi-21742	215	12	that	that	PRON
jbi-21742	215	13	involve	involve	VERB
jbi-21742	215	14	data	datum	NOUN
jbi-21742	215	15	derived	derive	VERB
jbi-21742	215	16	from	from	ADP
jbi-21742	215	17	detection	detection	NOUN
jbi-21742	215	18	/	/	SYM
jbi-21742	215	19	non	non	ADJ
jbi-21742	215	20	-	-	ADJ
jbi-21742	215	21	detection	detection	ADJ
jbi-21742	215	22	sampling	sample	VERB
jbi-21742	215	23	protocols	protocol	NOUN
jbi-21742	215	24	,	,	PUNCT
jbi-21742	215	25	such	such	ADJ
jbi-21742	215	26	as	as	ADP
jbi-21742	215	27	pathogen	pathogen	NOUN
jbi-21742	215	28	test	test	NOUN
jbi-21742	215	29	results	result	NOUN
jbi-21742	215	30	,	,	PUNCT
jbi-21742	215	31	detections	detection	NOUN
jbi-21742	215	32	of	of	ADP
jbi-21742	215	33	species	specie	NOUN
jbi-21742	215	34	on	on	ADP
jbi-21742	215	35	controlled	control	VERB
jbi-21742	215	36	-	-	PUNCT
jbi-21742	215	37	protocol	protocol	NOUN
jbi-21742	215	38	surveys	survey	NOUN
jbi-21742	215	39	,	,	PUNCT
jbi-21742	215	40	etc	etc	X
jbi-21742	215	41	.	.	X
jbi-21742	216	1	absence	absence	NOUN
jbi-21742	216	2	of	of	ADP
jbi-21742	216	3	a	a	DET
jbi-21742	216	4	species	species	NOUN
jbi-21742	216	5	is	be	AUX
jbi-21742	216	6	difficult	difficult	ADJ
jbi-21742	216	7	to	to	PART
jbi-21742	216	8	demonstrate	demonstrate	VERB
jbi-21742	216	9	because	because	SCONJ
jbi-21742	216	10	there	there	PRON
jbi-21742	216	11	are	be	VERB
jbi-21742	216	12	multiple	multiple	ADJ
jbi-21742	216	13	reasons	reason	NOUN
jbi-21742	216	14	and	and	CCONJ
jbi-21742	216	15	circumstances	circumstance	NOUN
jbi-21742	216	16	that	that	PRON
jbi-21742	216	17	can	can	AUX
jbi-21742	216	18	lead	lead	VERB
jbi-21742	216	19	not	not	PART
jbi-21742	216	20	to	to	PART
jbi-21742	216	21	detect	detect	VERB
jbi-21742	216	22	a	a	DET
jbi-21742	216	23	species	specie	NOUN
jbi-21742	216	24	(	(	PUNCT
jbi-21742	216	25	mackenzie	mackenzie	NOUN
jbi-21742	216	26	2005	2005	NUM
jbi-21742	216	27	;	;	PUNCT
jbi-21742	216	28	feng	feng	PROPN
jbi-21742	216	29	and	and	CCONJ
jbi-21742	216	30	papeş	papeş	NOUN
jbi-21742	216	31	2017	2017	NUM
jbi-21742	216	32	)	)	PUNCT
jbi-21742	216	33	.	.	PUNCT
jbi-21742	217	1	however	however	ADV
jbi-21742	217	2	,	,	PUNCT
jbi-21742	217	3	when	when	SCONJ
jbi-21742	217	4	the	the	DET
jbi-21742	217	5	sampling	sample	VERB
jbi-21742	217	6	protocol	protocol	NOUN
jbi-21742	217	7	is	be	AUX
jbi-21742	217	8	controlled	control	VERB
jbi-21742	217	9	(	(	PUNCT
jbi-21742	217	10	e.g.	e.g.	ADV
jbi-21742	217	11	,	,	PUNCT
jbi-21742	217	12	sampling	sample	VERB
jbi-21742	217	13	effort	effort	NOUN
jbi-21742	217	14	and	and	CCONJ
jbi-21742	217	15	methods	method	NOUN
jbi-21742	217	16	are	be	AUX
jbi-21742	217	17	comparable	comparable	ADJ
jbi-21742	217	18	)	)	PUNCT
jbi-21742	217	19	non	non	NOUN
jbi-21742	217	20	-	-	NOUN
jbi-21742	217	21	detections	detection	NOUN
jbi-21742	217	22	are	be	AUX
jbi-21742	217	23	a	a	DET
jbi-21742	217	24	valuable	valuable	ADJ
jbi-21742	217	25	source	source	NOUN
jbi-21742	217	26	of	of	ADP
jbi-21742	217	27	information	information	NOUN
jbi-21742	217	28	in	in	ADP
jbi-21742	217	29	characterizing	characterize	VERB
jbi-21742	217	30	environments	environment	NOUN
jbi-21742	217	31	that	that	PRON
jbi-21742	217	32	are	be	AUX
jbi-21742	217	33	favorable	favorable	ADJ
jbi-21742	217	34	or	or	CCONJ
jbi-21742	217	35	not	not	PART
jbi-21742	217	36	for	for	ADP
jbi-21742	217	37	the	the	DET
jbi-21742	217	38	occurrence	occurrence	NOUN
jbi-21742	217	39	of	of	ADP
jbi-21742	217	40	a	a	DET
jbi-21742	217	41	species	specie	NOUN
jbi-21742	217	42	(	(	PUNCT
jbi-21742	217	43	cobos	cobo	NOUN
jbi-21742	217	44	and	and	CCONJ
jbi-21742	217	45	peterson	peterson	NOUN
jbi-21742	217	46	2022	2022	NUM
jbi-21742	217	47	)	)	PUNCT
jbi-21742	217	48	.	.	PUNCT
jbi-21742	218	1	these	these	PRON
jbi-21742	218	2	non	non	NOUN
jbi-21742	218	3	-	-	NOUN
jbi-21742	218	4	detections	detection	NOUN
jbi-21742	218	5	are	be	AUX
jbi-21742	218	6	precisely	precisely	ADV
jbi-21742	218	7	what	what	PRON
jbi-21742	218	8	enmpa	enmpa	NOUN
jbi-21742	218	9	can	can	AUX
jbi-21742	218	10	use	use	VERB
jbi-21742	218	11	as	as	ADP
jbi-21742	218	12	absence	absence	NOUN
jbi-21742	218	13	records	record	NOUN
jbi-21742	218	14	,	,	PUNCT
jbi-21742	218	15	which	which	PRON
jbi-21742	218	16	together	together	ADV
jbi-21742	218	17	with	with	ADP
jbi-21742	218	18	presences	presence	NOUN
jbi-21742	218	19	can	can	AUX
jbi-21742	218	20	help	help	VERB
jbi-21742	218	21	to	to	PART
jbi-21742	218	22	develop	develop	VERB
jbi-21742	218	23	more	more	ADV
jbi-21742	218	24	robust	robust	ADJ
jbi-21742	218	25	models	model	NOUN
jbi-21742	218	26	.	.	PUNCT
jbi-21742	219	1	the	the	DET
jbi-21742	219	2	package	package	NOUN
jbi-21742	219	3	enmpa	enmpa	NOUN
jbi-21742	219	4	runs	run	VERB
jbi-21742	219	5	most	most	ADJ
jbi-21742	219	6	analyses	analysis	NOUN
jbi-21742	219	7	using	use	VERB
jbi-21742	219	8	data	datum	NOUN
jbi-21742	219	9	prepared	prepare	VERB
jbi-21742	219	10	by	by	ADP
jbi-21742	219	11	the	the	DET
jbi-21742	219	12	users	user	NOUN
jbi-21742	219	13	as	as	ADP
jbi-21742	219	14	a	a	DET
jbi-21742	219	15	“	"	PUNCT
jbi-21742	219	16	data.frame	data.frame	PROPN
jbi-21742	219	17	”	"	PUNCT
jbi-21742	219	18	that	that	PRON
jbi-21742	219	19	contains	contain	VERB
jbi-21742	219	20	presence	presence	NOUN
jbi-21742	219	21	-	-	PUNCT
jbi-21742	219	22	absence	absence	NOUN
jbi-21742	219	23	records	record	NOUN
jbi-21742	219	24	associated	associate	VERB
jbi-21742	219	25	with	with	ADP
jbi-21742	219	26	values	value	NOUN
jbi-21742	219	27	of	of	ADP
jbi-21742	219	28	environmental	environmental	ADJ
jbi-21742	219	29	variables	variable	NOUN
jbi-21742	219	30	.	.	PUNCT
jbi-21742	220	1	the	the	DET
jbi-21742	220	2	steps	step	NOUN
jbi-21742	220	3	of	of	ADP
jbi-21742	220	4	model	model	NOUN
jbi-21742	220	5	fitting	fitting	ADJ
jbi-21742	220	6	,	,	PUNCT
jbi-21742	220	7	training	training	NOUN
jbi-21742	220	8	,	,	PUNCT
jbi-21742	220	9	and	and	CCONJ
jbi-21742	220	10	testing	testing	NOUN
jbi-21742	220	11	do	do	AUX
jbi-21742	220	12	not	not	PART
jbi-21742	220	13	require	require	VERB
jbi-21742	220	14	variables	variable	NOUN
jbi-21742	220	15	as	as	ADP
jbi-21742	220	16	raster	raster	NOUN
jbi-21742	220	17	layers	layer	NOUN
jbi-21742	220	18	,	,	PUNCT
jbi-21742	220	19	which	which	PRON
jbi-21742	220	20	are	be	AUX
jbi-21742	220	21	only	only	ADV
jbi-21742	220	22	needed	need	VERB
jbi-21742	220	23	if	if	SCONJ
jbi-21742	220	24	mode	mode	PROPN
jbi-21742	220	25	geoarias	geoarias	PROPN
jbi-21742	220	26	-	-	PUNCT
jbi-21742	220	27	giraldo	giraldo	PROPN
jbi-21742	220	28	et	et	PROPN
jbi-21742	220	29	al	al	PROPN
jbi-21742	220	30	.	.	PROPN
jbi-21742	220	31	–	–	PUNCT
jbi-21742	220	32	enmpa	enmpa	NOUN
jbi-21742	220	33	38	38	NUM
jbi-21742	220	34	graphic	graphic	ADJ
jbi-21742	220	35	predictions	prediction	NOUN
jbi-21742	220	36	are	be	AUX
jbi-21742	220	37	to	to	PART
jbi-21742	220	38	be	be	AUX
jbi-21742	220	39	produced	produce	VERB
jbi-21742	220	40	.	.	PUNCT
jbi-21742	221	1	therefore	therefore	ADV
jbi-21742	221	2	,	,	PUNCT
jbi-21742	221	3	raster	raster	NOUN
jbi-21742	221	4	layer	layer	NOUN
jbi-21742	221	5	resolution	resolution	NOUN
jbi-21742	221	6	has	have	VERB
jbi-21742	221	7	few	few	ADJ
jbi-21742	221	8	implications	implication	NOUN
jbi-21742	221	9	in	in	ADP
jbi-21742	221	10	the	the	DET
jbi-21742	221	11	functionality	functionality	NOUN
jbi-21742	221	12	of	of	ADP
jbi-21742	221	13	enmpa	enmpa	NOUN
jbi-21742	221	14	,	,	PUNCT
jbi-21742	221	15	which	which	PRON
jbi-21742	221	16	makes	make	VERB
jbi-21742	221	17	it	it	PRON
jbi-21742	221	18	computationally	computationally	ADV
jbi-21742	221	19	efficient	efficient	ADJ
jbi-21742	221	20	.	.	PUNCT
jbi-21742	222	1	one	one	NUM
jbi-21742	222	2	of	of	ADP
jbi-21742	222	3	the	the	DET
jbi-21742	222	4	most	most	ADV
jbi-21742	222	5	notable	notable	ADJ
jbi-21742	222	6	features	feature	NOUN
jbi-21742	222	7	of	of	ADP
jbi-21742	222	8	enmpa	enmpa	NOUN
jbi-21742	222	9	is	be	AUX
jbi-21742	222	10	that	that	SCONJ
jbi-21742	222	11	it	it	PRON
jbi-21742	222	12	allows	allow	VERB
jbi-21742	222	13	users	user	NOUN
jbi-21742	222	14	to	to	PART
jbi-21742	222	15	explore	explore	VERB
jbi-21742	222	16	a	a	DET
jbi-21742	222	17	wide	wide	ADJ
jbi-21742	222	18	range	range	NOUN
jbi-21742	222	19	of	of	ADP
jbi-21742	222	20	predictor	predictor	NOUN
jbi-21742	222	21	combinations	combination	NOUN
jbi-21742	222	22	in	in	ADP
jbi-21742	222	23	a	a	DET
jbi-21742	222	24	glm	glm	NOUN
jbi-21742	222	25	framework	framework	NOUN
jbi-21742	222	26	to	to	PART
jbi-21742	222	27	find	find	VERB
jbi-21742	222	28	the	the	DET
jbi-21742	222	29	set	set	NOUN
jbi-21742	222	30	of	of	ADP
jbi-21742	222	31	combinations	combination	NOUN
jbi-21742	222	32	that	that	PRON
jbi-21742	222	33	better	well	ADV
jbi-21742	222	34	fit	fit	VERB
jbi-21742	222	35	the	the	DET
jbi-21742	222	36	data	datum	NOUN
jbi-21742	222	37	and	and	CCONJ
jbi-21742	222	38	explain	explain	VERB
jbi-21742	222	39	the	the	DET
jbi-21742	222	40	phenomenon	phenomenon	NOUN
jbi-21742	222	41	of	of	ADP
jbi-21742	222	42	study	study	NOUN
jbi-21742	222	43	.	.	PUNCT
jbi-21742	223	1	focusing	focus	VERB
jbi-21742	223	2	on	on	ADP
jbi-21742	223	3	exploring	explore	VERB
jbi-21742	223	4	different	different	ADJ
jbi-21742	223	5	predictor	predictor	NOUN
jbi-21742	223	6	features	feature	NOUN
jbi-21742	223	7	,	,	PUNCT
jbi-21742	223	8	including	include	VERB
jbi-21742	223	9	linear	linear	ADJ
jbi-21742	223	10	,	,	PUNCT
jbi-21742	223	11	quadratic	quadratic	ADJ
jbi-21742	223	12	,	,	PUNCT
jbi-21742	223	13	and	and	CCONJ
jbi-21742	223	14	two	two	NUM
jbi-21742	223	15	-	-	PUNCT
jbi-21742	223	16	way	way	NOUN
jbi-21742	223	17	interaction	interaction	NOUN
jbi-21742	223	18	responses	response	NOUN
jbi-21742	223	19	,	,	PUNCT
jbi-21742	223	20	enabling	enable	VERB
jbi-21742	223	21	a	a	DET
jbi-21742	223	22	detailed	detailed	ADJ
jbi-21742	223	23	analysis	analysis	NOUN
jbi-21742	223	24	of	of	ADP
jbi-21742	223	25	the	the	DET
jbi-21742	223	26	entire	entire	ADJ
jbi-21742	223	27	parameter	parameter	NOUN
jbi-21742	223	28	space	space	NOUN
jbi-21742	223	29	(	(	PUNCT
jbi-21742	223	30	cobos	cobo	NOUN
jbi-21742	223	31	et	et	PROPN
jbi-21742	223	32	al	al	PROPN
jbi-21742	223	33	.	.	PROPN
jbi-21742	223	34	2019b	2019b	NUM
jbi-21742	223	35	)	)	PUNCT
jbi-21742	223	36	.	.	PUNCT
jbi-21742	224	1	apart	apart	ADV
jbi-21742	224	2	from	from	ADP
jbi-21742	224	3	the	the	DET
jbi-21742	224	4	functionalities	functionality	NOUN
jbi-21742	224	5	corresponding	correspond	VERB
jbi-21742	224	6	to	to	ADP
jbi-21742	224	7	the	the	DET
jbi-21742	224	8	main	main	ADJ
jbi-21742	224	9	steps	step	NOUN
jbi-21742	224	10	in	in	ADP
jbi-21742	224	11	enm	enm	PROPN
jbi-21742	224	12	,	,	PUNCT
jbi-21742	224	13	enmpa	enmpa	NOUN
jbi-21742	224	14	implements	implement	VERB
jbi-21742	224	15	two	two	NUM
jbi-21742	224	16	novel	novel	ADJ
jbi-21742	224	17	methods	method	NOUN
jbi-21742	224	18	that	that	PRON
jbi-21742	224	19	allow	allow	VERB
jbi-21742	224	20	users	user	NOUN
jbi-21742	224	21	to	to	PART
jbi-21742	224	22	select	select	VERB
jbi-21742	224	23	variables	variable	NOUN
jbi-21742	224	24	based	base	VERB
jbi-21742	224	25	on	on	ADP
jbi-21742	224	26	niche	niche	NOUN
jbi-21742	224	27	signal	signal	NOUN
jbi-21742	224	28	detection	detection	NOUN
jbi-21742	224	29	(	(	PUNCT
jbi-21742	224	30	cobos	cobo	NOUN
jbi-21742	224	31	and	and	CCONJ
jbi-21742	224	32	peterson	peterson	NOUN
jbi-21742	224	33	2022	2022	NUM
jbi-21742	224	34	)	)	PUNCT
jbi-21742	224	35	and	and	CCONJ
jbi-21742	224	36	filter	filter	VERB
jbi-21742	224	37	those	those	DET
jbi-21742	224	38	models	model	NOUN
jbi-21742	224	39	with	with	ADP
jbi-21742	224	40	response	response	NOUN
jbi-21742	224	41	shapes	shape	NOUN
jbi-21742	224	42	that	that	PRON
jbi-21742	224	43	do	do	AUX
jbi-21742	224	44	not	not	PART
jbi-21742	224	45	align	align	VERB
jbi-21742	224	46	with	with	ADP
jbi-21742	224	47	ecological	ecological	ADJ
jbi-21742	224	48	theory	theory	NOUN
jbi-21742	224	49	(	(	PUNCT
jbi-21742	224	50	austin	austin	PROPN
jbi-21742	224	51	2002	2002	NUM
jbi-21742	224	52	,	,	PUNCT
jbi-21742	224	53	2007	2007	NUM
jbi-21742	224	54	;	;	PUNCT
jbi-21742	224	55	peterson	peterson	PROPN
jbi-21742	224	56	et	et	PROPN
jbi-21742	224	57	al	al	PROPN
jbi-21742	224	58	.	.	PROPN
jbi-21742	224	59	2011	2011	NUM
jbi-21742	224	60	;	;	PUNCT
jbi-21742	224	61	merow	merow	VERB
jbi-21742	224	62	et	et	PROPN
jbi-21742	224	63	al	al	PROPN
jbi-21742	224	64	.	.	PROPN
jbi-21742	224	65	2014	2014	NUM
jbi-21742	224	66	)	)	PUNCT
jbi-21742	224	67	.	.	PUNCT
jbi-21742	225	1	the	the	DET
jbi-21742	225	2	first	first	ADJ
jbi-21742	225	3	method	method	NOUN
jbi-21742	225	4	helps	help	VERB
jbi-21742	225	5	users	user	NOUN
jbi-21742	225	6	to	to	PART
jbi-21742	225	7	discard	discard	VERB
jbi-21742	225	8	potentially	potentially	ADV
jbi-21742	225	9	non	non	ADJ
jbi-21742	225	10	-	-	ADJ
jbi-21742	225	11	relevant	relevant	ADJ
jbi-21742	225	12	variables	variable	NOUN
jbi-21742	225	13	before	before	ADP
jbi-21742	225	14	modeling	modeling	NOUN
jbi-21742	225	15	,	,	PUNCT
jbi-21742	225	16	which	which	PRON
jbi-21742	225	17	prevents	prevent	VERB
jbi-21742	225	18	over	over	ADP
jbi-21742	225	19	-	-	PUNCT
jbi-21742	225	20	parameterization	parameterization	NOUN
jbi-21742	225	21	of	of	ADP
jbi-21742	225	22	models	model	NOUN
jbi-21742	225	23	and	and	CCONJ
jbi-21742	225	24	makes	make	VERB
jbi-21742	225	25	the	the	DET
jbi-21742	225	26	calibration	calibration	NOUN
jbi-21742	225	27	step	step	NOUN
jbi-21742	225	28	easier	easy	ADJ
jbi-21742	225	29	by	by	ADP
jbi-21742	225	30	avoiding	avoid	VERB
jbi-21742	225	31	exploring	explore	VERB
jbi-21742	225	32	irrelevant	irrelevant	ADJ
jbi-21742	225	33	predictor	predictor	NOUN
jbi-21742	225	34	combinations	combination	NOUN
jbi-21742	225	35	that	that	PRON
jbi-21742	225	36	do	do	AUX
jbi-21742	225	37	not	not	PART
jbi-21742	225	38	form	form	VERB
jbi-21742	225	39	part	part	NOUN
jbi-21742	225	40	of	of	ADP
jbi-21742	225	41	the	the	DET
jbi-21742	225	42	species	specie	NOUN
jbi-21742	225	43	’	'	PUNCT
jbi-21742	225	44	niche	niche	NOUN
jbi-21742	225	45	(	(	PUNCT
jbi-21742	225	46	cobos	cobo	NOUN
jbi-21742	225	47	and	and	CCONJ
jbi-21742	225	48	peterson	peterson	NOUN
jbi-21742	225	49	2022	2022	NUM
jbi-21742	225	50	)	)	PUNCT
jbi-21742	225	51	.	.	PUNCT
jbi-21742	226	1	although	although	SCONJ
jbi-21742	226	2	forward	forward	ADV
jbi-21742	226	3	,	,	PUNCT
jbi-21742	226	4	backward	backward	ADV
jbi-21742	226	5	,	,	PUNCT
jbi-21742	226	6	or	or	CCONJ
jbi-21742	226	7	stepwise	stepwise	NOUN
jbi-21742	226	8	selection	selection	NOUN
jbi-21742	226	9	processes	process	NOUN
jbi-21742	226	10	have	have	AUX
jbi-21742	226	11	been	be	AUX
jbi-21742	226	12	commonly	commonly	ADV
jbi-21742	226	13	used	use	VERB
jbi-21742	226	14	methods	method	NOUN
jbi-21742	226	15	for	for	ADP
jbi-21742	226	16	selecting	select	VERB
jbi-21742	226	17	predictors	predictor	NOUN
jbi-21742	226	18	in	in	ADP
jbi-21742	226	19	modeling	modeling	NOUN
jbi-21742	226	20	(	(	PUNCT
jbi-21742	226	21	efroymson	efroymson	NOUN
jbi-21742	226	22	1960	1960	NUM
jbi-21742	226	23	)	)	PUNCT
jbi-21742	226	24	,	,	PUNCT
jbi-21742	226	25	they	they	PRON
jbi-21742	226	26	have	have	AUX
jbi-21742	226	27	been	be	AUX
jbi-21742	226	28	criticized	criticize	VERB
jbi-21742	226	29	for	for	ADP
jbi-21742	226	30	misapplication	misapplication	NOUN
jbi-21742	226	31	of	of	ADP
jbi-21742	226	32	a	a	DET
jbi-21742	226	33	single	single	ADJ
jbi-21742	226	34	-	-	PUNCT
jbi-21742	226	35	step	step	NOUN
jbi-21742	226	36	statistical	statistical	ADJ
jbi-21742	226	37	test	test	NOUN
jbi-21742	226	38	in	in	ADP
jbi-21742	226	39	a	a	DET
jbi-21742	226	40	multi	multi	ADJ
jbi-21742	226	41	-	-	ADJ
jbi-21742	226	42	step	step	ADJ
jbi-21742	226	43	procedure	procedure	NOUN
jbi-21742	226	44	(	(	PUNCT
jbi-21742	226	45	harrell	harrell	PROPN
jbi-21742	226	46	2001	2001	NUM
jbi-21742	226	47	;	;	PUNCT
jbi-21742	226	48	flom	flom	PROPN
jbi-21742	226	49	and	and	CCONJ
jbi-21742	226	50	cassell	cassell	PROPN
jbi-21742	226	51	2007	2007	NUM
jbi-21742	226	52	;	;	PUNCT
jbi-21742	226	53	smith	smith	PROPN
jbi-21742	226	54	2018	2018	NUM
jbi-21742	226	55	)	)	PUNCT
jbi-21742	226	56	.	.	PUNCT
jbi-21742	227	1	this	this	DET
jbi-21742	227	2	problem	problem	NOUN
jbi-21742	227	3	may	may	AUX
jbi-21742	227	4	lead	lead	VERB
jbi-21742	227	5	to	to	ADP
jbi-21742	227	6	the	the	DET
jbi-21742	227	7	selection	selection	NOUN
jbi-21742	227	8	of	of	ADP
jbi-21742	227	9	nuisance	nuisance	ADJ
jbi-21742	227	10	variables	variable	NOUN
jbi-21742	227	11	or	or	CCONJ
jbi-21742	227	12	models	model	NOUN
jbi-21742	227	13	that	that	PRON
jbi-21742	227	14	perform	perform	VERB
jbi-21742	227	15	worse	bad	ADJ
jbi-21742	227	16	with	with	ADP
jbi-21742	227	17	independent	independent	ADJ
jbi-21742	227	18	data	datum	NOUN
jbi-21742	227	19	than	than	ADP
jbi-21742	227	20	in	in	ADP
jbi-21742	227	21	calibration	calibration	NOUN
jbi-21742	227	22	(	(	PUNCT
jbi-21742	227	23	smith	smith	NOUN
jbi-21742	227	24	2018	2018	NUM
jbi-21742	227	25	)	)	PUNCT
jbi-21742	227	26	.	.	PUNCT
jbi-21742	228	1	the	the	DET
jbi-21742	228	2	second	second	ADJ
jbi-21742	228	3	method	method	NOUN
jbi-21742	228	4	seeks	seek	VERB
jbi-21742	228	5	to	to	PART
jbi-21742	228	6	stay	stay	VERB
jbi-21742	228	7	in	in	ADP
jbi-21742	228	8	line	line	NOUN
jbi-21742	228	9	with	with	ADP
jbi-21742	228	10	the	the	DET
jbi-21742	228	11	standard	standard	NOUN
jbi-21742	228	12	of	of	ADP
jbi-21742	228	13	niche	niche	NOUN
jbi-21742	228	14	theory	theory	NOUN
jbi-21742	228	15	,	,	PUNCT
jbi-21742	228	16	in	in	ADP
jbi-21742	228	17	which	which	PRON
jbi-21742	228	18	species	specie	NOUN
jbi-21742	228	19	’	'	PUNCT
jbi-21742	228	20	fitness	fitness	NOUN
jbi-21742	228	21	responds	respond	VERB
jbi-21742	228	22	to	to	ADP
jbi-21742	228	23	environmental	environmental	ADJ
jbi-21742	228	24	conditions	condition	NOUN
jbi-21742	228	25	with	with	ADP
jbi-21742	228	26	a	a	DET
jbi-21742	228	27	unimodal	unimodal	ADJ
jbi-21742	228	28	response	response	NOUN
jbi-21742	228	29	.	.	PUNCT
jbi-21742	229	1	extreme	extreme	ADJ
jbi-21742	229	2	environmental	environmental	ADJ
jbi-21742	229	3	values	value	NOUN
jbi-21742	229	4	lead	lead	VERB
jbi-21742	229	5	to	to	ADP
jbi-21742	229	6	low	low	ADJ
jbi-21742	229	7	fitness	fitness	NOUN
jbi-21742	229	8	,	,	PUNCT
jbi-21742	229	9	while	while	SCONJ
jbi-21742	229	10	intermediate	intermediate	ADJ
jbi-21742	229	11	environmental	environmental	ADJ
jbi-21742	229	12	values	value	NOUN
jbi-21742	229	13	are	be	AUX
jbi-21742	229	14	optimal	optimal	ADJ
jbi-21742	229	15	for	for	ADP
jbi-21742	229	16	the	the	DET
jbi-21742	229	17	species	specie	NOUN
jbi-21742	229	18	(	(	PUNCT
jbi-21742	229	19	jiménez	jiménez	PROPN
jbi-21742	229	20	-	-	PUNCT
jbi-21742	229	21	valverde	valverde	PROPN
jbi-21742	229	22	et	et	PROPN
jbi-21742	229	23	al	al	PROPN
jbi-21742	229	24	.	.	PROPN
jbi-21742	229	25	2011	2011	NUM
jbi-21742	229	26	;	;	PUNCT
jbi-21742	229	27	escobar	escobar	PROPN
jbi-21742	229	28	2020	2020	NUM
jbi-21742	229	29	)	)	PUNCT
jbi-21742	229	30	.	.	PUNCT
jbi-21742	230	1	however	however	ADV
jbi-21742	230	2	,	,	PUNCT
jbi-21742	230	3	the	the	DET
jbi-21742	230	4	fitting	fitting	NOUN
jbi-21742	230	5	of	of	ADP
jbi-21742	230	6	quadratic	quadratic	ADJ
jbi-21742	230	7	terms	term	NOUN
jbi-21742	230	8	can	can	AUX
jbi-21742	230	9	be	be	AUX
jbi-21742	230	10	limited	limit	VERB
jbi-21742	230	11	if	if	SCONJ
jbi-21742	230	12	insufficient	insufficient	ADJ
jbi-21742	230	13	sampling	sampling	NOUN
jbi-21742	230	14	information	information	NOUN
jbi-21742	230	15	is	be	AUX
jbi-21742	230	16	available	available	ADJ
jbi-21742	230	17	and	and	CCONJ
jbi-21742	230	18	one	one	NUM
jbi-21742	230	19	extreme	extreme	NOUN
jbi-21742	230	20	of	of	ADP
jbi-21742	230	21	the	the	DET
jbi-21742	230	22	curve	curve	NOUN
jbi-21742	230	23	is	be	AUX
jbi-21742	230	24	not	not	PART
jbi-21742	230	25	captured	capture	VERB
jbi-21742	230	26	,	,	PUNCT
jbi-21742	230	27	which	which	PRON
jbi-21742	230	28	can	can	AUX
jbi-21742	230	29	lead	lead	VERB
jbi-21742	230	30	to	to	ADP
jbi-21742	230	31	estimation	estimation	NOUN
jbi-21742	230	32	of	of	ADP
jbi-21742	230	33	odd	odd	ADJ
jbi-21742	230	34	response	response	NOUN
jbi-21742	230	35	shapes	shape	NOUN
jbi-21742	230	36	.	.	PUNCT
jbi-21742	231	1	although	although	SCONJ
jbi-21742	231	2	bimodal	bimodal	NOUN
jbi-21742	231	3	responses	response	NOUN
jbi-21742	231	4	of	of	ADP
jbi-21742	231	5	species	specie	NOUN
jbi-21742	231	6	to	to	ADP
jbi-21742	231	7	variables	variable	NOUN
jbi-21742	231	8	may	may	AUX
jbi-21742	231	9	have	have	VERB
jbi-21742	231	10	interesting	interesting	ADJ
jbi-21742	231	11	and	and	CCONJ
jbi-21742	231	12	meaningful	meaningful	ADJ
jbi-21742	231	13	interpretations	interpretation	NOUN
jbi-21742	231	14	(	(	PUNCT
jbi-21742	231	15	e.g.	e.g.	ADV
jbi-21742	231	16	,	,	PUNCT
jbi-21742	231	17	indicating	indicate	VERB
jbi-21742	231	18	that	that	SCONJ
jbi-21742	231	19	a	a	DET
jbi-21742	231	20	niche	niche	NOUN
jbi-21742	231	21	is	be	AUX
jbi-21742	231	22	incompletely	incompletely	ADV
jbi-21742	231	23	represented	represent	VERB
jbi-21742	231	24	by	by	ADP
jbi-21742	231	25	the	the	DET
jbi-21742	231	26	data	datum	NOUN
jbi-21742	231	27	)	)	PUNCT
jbi-21742	231	28	,	,	PUNCT
jbi-21742	231	29	they	they	PRON
jbi-21742	231	30	need	need	VERB
jbi-21742	231	31	to	to	PART
jbi-21742	231	32	be	be	AUX
jbi-21742	231	33	evaluated	evaluate	VERB
jbi-21742	231	34	in	in	ADP
jbi-21742	231	35	detail	detail	NOUN
jbi-21742	231	36	for	for	ADP
jbi-21742	231	37	particular	particular	ADJ
jbi-21742	231	38	species	specie	NOUN
jbi-21742	231	39	.	.	PUNCT
jbi-21742	232	1	therefore	therefore	ADV
jbi-21742	232	2	,	,	PUNCT
jbi-21742	232	3	excluding	exclude	VERB
jbi-21742	232	4	quadratic	quadratic	ADJ
jbi-21742	232	5	predictors	predictor	NOUN
jbi-21742	232	6	with	with	ADP
jbi-21742	232	7	bimodal	bimodal	NOUN
jbi-21742	232	8	behavior	behavior	NOUN
jbi-21742	232	9	is	be	AUX
jbi-21742	232	10	crucial	crucial	ADJ
jbi-21742	232	11	in	in	ADP
jbi-21742	232	12	most	most	ADJ
jbi-21742	232	13	cases	case	NOUN
jbi-21742	232	14	to	to	PART
jbi-21742	232	15	avoid	avoid	VERB
jbi-21742	232	16	misleading	mislead	VERB
jbi-21742	232	17	conclusions	conclusion	NOUN
jbi-21742	232	18	.	.	PUNCT
jbi-21742	233	1	the	the	DET
jbi-21742	233	2	example	example	NOUN
jbi-21742	233	3	of	of	ADP
jbi-21742	233	4	a	a	DET
jbi-21742	233	5	virtual	virtual	ADJ
jbi-21742	233	6	pathogen	pathogen	NOUN
jbi-21742	233	7	species	specie	NOUN
jbi-21742	233	8	demonstrates	demonstrate	VERB
jbi-21742	233	9	the	the	DET
jbi-21742	233	10	usefulness	usefulness	NOUN
jbi-21742	233	11	and	and	CCONJ
jbi-21742	233	12	effectiveness	effectiveness	NOUN
jbi-21742	233	13	of	of	ADP
jbi-21742	233	14	enmpa	enmpa	NOUN
jbi-21742	233	15	.	.	PUNCT
jbi-21742	234	1	the	the	DET
jbi-21742	234	2	meticulous	meticulous	ADJ
jbi-21742	234	3	steps	step	NOUN
jbi-21742	234	4	involved	involve	VERB
jbi-21742	234	5	in	in	ADP
jbi-21742	234	6	model	model	NOUN
jbi-21742	234	7	calibration	calibration	NOUN
jbi-21742	234	8	,	,	PUNCT
jbi-21742	234	9	selection	selection	NOUN
jbi-21742	234	10	,	,	PUNCT
jbi-21742	234	11	and	and	CCONJ
jbi-21742	234	12	evaluation	evaluation	NOUN
jbi-21742	234	13	,	,	PUNCT
jbi-21742	234	14	in	in	ADP
jbi-21742	234	15	combination	combination	NOUN
jbi-21742	234	16	with	with	ADP
jbi-21742	234	17	the	the	DET
jbi-21742	234	18	consideration	consideration	NOUN
jbi-21742	234	19	of	of	ADP
jbi-21742	234	20	response	response	NOUN
jbi-21742	234	21	curves	curve	NOUN
jbi-21742	234	22	and	and	CCONJ
jbi-21742	234	23	variable	variable	ADJ
jbi-21742	234	24	contributions	contribution	NOUN
jbi-21742	234	25	,	,	PUNCT
jbi-21742	234	26	collectively	collectively	ADV
jbi-21742	234	27	contributed	contribute	VERB
jbi-21742	234	28	to	to	ADP
jbi-21742	234	29	a	a	DET
jbi-21742	234	30	refined	refined	ADJ
jbi-21742	234	31	understanding	understanding	NOUN
jbi-21742	234	32	of	of	ADP
jbi-21742	234	33	the	the	DET
jbi-21742	234	34	ecological	ecological	ADJ
jbi-21742	234	35	niche	niche	NOUN
jbi-21742	234	36	of	of	ADP
jbi-21742	234	37	the	the	DET
jbi-21742	234	38	virtual	virtual	ADJ
jbi-21742	234	39	species	specie	NOUN
jbi-21742	234	40	.	.	PUNCT
jbi-21742	235	1	for	for	ADP
jbi-21742	235	2	example	example	NOUN
jbi-21742	235	3	,	,	PUNCT
jbi-21742	235	4	the	the	DET
jbi-21742	235	5	results	result	NOUN
jbi-21742	235	6	suggest	suggest	VERB
jbi-21742	235	7	that	that	SCONJ
jbi-21742	235	8	the	the	DET
jbi-21742	235	9	virtual	virtual	ADJ
jbi-21742	235	10	pathogen	pathogen	NOUN
jbi-21742	235	11	would	would	AUX
jbi-21742	235	12	thrive	thrive	VERB
jbi-21742	235	13	in	in	ADP
jbi-21742	235	14	warmer	warm	ADJ
jbi-21742	235	15	climates	climate	NOUN
jbi-21742	235	16	with	with	ADP
jbi-21742	235	17	lower	low	ADJ
jbi-21742	235	18	rainfall	rainfall	NOUN
jbi-21742	235	19	.	.	PUNCT
jbi-21742	236	1	the	the	DET
jbi-21742	236	2	example	example	NOUN
jbi-21742	236	3	also	also	ADV
jbi-21742	236	4	highlights	highlight	VERB
jbi-21742	236	5	the	the	DET
jbi-21742	236	6	practicality	practicality	NOUN
jbi-21742	236	7	and	and	CCONJ
jbi-21742	236	8	accuracy	accuracy	NOUN
jbi-21742	236	9	of	of	ADP
jbi-21742	236	10	enmpa	enmpa	NOUN
jbi-21742	236	11	in	in	ADP
jbi-21742	236	12	modeling	model	VERB
jbi-21742	236	13	species	specie	NOUN
jbi-21742	236	14	’	'	PUNCT
jbi-21742	236	15	niches	niche	NOUN
jbi-21742	236	16	,	,	PUNCT
jbi-21742	236	17	when	when	SCONJ
jbi-21742	236	18	records	record	NOUN
jbi-21742	236	19	derived	derive	VERB
jbi-21742	236	20	from	from	ADP
jbi-21742	236	21	sampling	sample	VERB
jbi-21742	236	22	protocols	protocol	NOUN
jbi-21742	236	23	of	of	ADP
jbi-21742	236	24	detection	detection	NOUN
jbi-21742	236	25	and	and	CCONJ
jbi-21742	236	26	non	non	ADJ
jbi-21742	236	27	-	-	NOUN
jbi-21742	236	28	detection	detection	NOUN
jbi-21742	236	29	are	be	AUX
jbi-21742	236	30	available	available	ADJ
jbi-21742	236	31	.	.	PUNCT
jbi-21742	237	1	acknowledgments	acknowledgment	NOUN
jbi-21742	237	2	we	we	PRON
jbi-21742	237	3	thank	thank	VERB
jbi-21742	237	4	the	the	DET
jbi-21742	237	5	kuenm	kuenm	PROPN
jbi-21742	237	6	working	work	VERB
jbi-21742	237	7	group	group	NOUN
jbi-21742	237	8	for	for	ADP
jbi-21742	237	9	valuable	valuable	ADJ
jbi-21742	237	10	discussions	discussion	NOUN
jbi-21742	237	11	.	.	PUNCT
jbi-21742	238	1	lfag	lfag	PROPN
jbi-21742	238	2	thanks	thank	NOUN
jbi-21742	238	3	the	the	DET
jbi-21742	238	4	biodiversity	biodiversity	NOUN
jbi-21742	238	5	institute	institute	NOUN
jbi-21742	238	6	,	,	PUNCT
jbi-21742	238	7	university	university	PROPN
jbi-21742	238	8	of	of	ADP
jbi-21742	238	9	kansas	kansas	PROPN
jbi-21742	238	10	,	,	PUNCT
jbi-21742	238	11	for	for	ADP
jbi-21742	238	12	hosting	host	VERB
jbi-21742	238	13	him	he	PRON
jbi-21742	238	14	during	during	ADP
jbi-21742	238	15	the	the	DET
jbi-21742	238	16	development	development	NOUN
jbi-21742	238	17	of	of	ADP
jbi-21742	238	18	this	this	DET
jbi-21742	238	19	project	project	NOUN
jbi-21742	238	20	.	.	PUNCT
jbi-21742	239	1	lfag	lfag	PROPN
jbi-21742	239	2	thanks	thanks	PROPN
jbi-21742	239	3	juan	juan	PROPN
jbi-21742	239	4	a.	a.	PROPN
jbi-21742	239	5	navas	navas	PROPN
jbi-21742	239	6	-	-	PUNCT
jbi-21742	239	7	cortés	cortés	PROPN
jbi-21742	239	8	and	and	CCONJ
jbi-21742	239	9	blanca	blanca	PROPN
jbi-21742	239	10	b.	b.	PROPN
jbi-21742	239	11	landa	landa	PROPN
jbi-21742	239	12	for	for	ADP
jbi-21742	239	13	their	their	PRON
jbi-21742	239	14	support	support	NOUN
jbi-21742	239	15	during	during	ADP
jbi-21742	239	16	the	the	DET
jbi-21742	239	17	development	development	NOUN
jbi-21742	239	18	of	of	ADP
jbi-21742	239	19	this	this	DET
jbi-21742	239	20	work	work	NOUN
jbi-21742	239	21	.	.	PUNCT
jbi-21742	240	1	competing	compete	VERB
jbi-21742	240	2	interests	interest	NOUN
jbi-21742	240	3	the	the	DET
jbi-21742	240	4	authors	author	NOUN
jbi-21742	240	5	have	have	AUX
jbi-21742	240	6	declared	declare	VERB
jbi-21742	240	7	that	that	SCONJ
jbi-21742	240	8	no	no	DET
jbi-21742	240	9	competing	compete	VERB
jbi-21742	240	10	interests	interest	NOUN
jbi-21742	240	11	exist	exist	VERB
jbi-21742	240	12	.	.	PUNCT
jbi-21742	241	1	funding	fund	VERB
jbi-21742	241	2	this	this	DET
jbi-21742	241	3	research	research	NOUN
jbi-21742	241	4	was	be	AUX
jbi-21742	241	5	funded	fund	VERB
jbi-21742	241	6	partially	partially	ADV
jbi-21742	241	7	by	by	ADP
jbi-21742	241	8	an	an	DET
jbi-21742	241	9	international	international	ADJ
jbi-21742	241	10	mobility	mobility	NOUN
jbi-21742	241	11	grant	grant	NOUN
jbi-21742	241	12	for	for	ADP
jbi-21742	241	13	phd	phd	NOUN
jbi-21742	241	14	candidates	candidate	NOUN
jbi-21742	241	15	awarded	award	VERB
jbi-21742	241	16	to	to	PART
jbi-21742	241	17	lfag	lfag	VERB
jbi-21742	241	18	by	by	ADP
jbi-21742	241	19	the	the	DET
jbi-21742	241	20	university	university	PROPN
jbi-21742	241	21	of	of	ADP
jbi-21742	241	22	córdoba	córdoba	PROPN
jbi-21742	241	23	,	,	PUNCT
jbi-21742	241	24	spain	spain	PROPN
jbi-21742	241	25	.	.	PUNCT
jbi-21742	242	1	lfag	lfag	PROPN
jbi-21742	242	2	was	be	AUX
jbi-21742	242	3	also	also	ADV
jbi-21742	242	4	supported	support	VERB
jbi-21742	242	5	by	by	ADP
jbi-21742	242	6	the	the	DET
jbi-21742	242	7	consejo	consejo	PROPN
jbi-21742	242	8	superior	superior	PROPN
jbi-21742	242	9	de	de	PROPN
jbi-21742	242	10	investigaciones	investigaciones	PROPN
jbi-21742	242	11	científicas	científicas	VERB
jbi-21742	242	12	intramural	intramural	ADJ
jbi-21742	242	13	(	(	PUNCT
jbi-21742	242	14	project	project	NOUN
jbi-21742	242	15	202340e021	202340e021	NUM
jbi-21742	242	16	)	)	PUNCT
jbi-21742	242	17	.	.	PUNCT
jbi-21742	243	1	the	the	DET
jbi-21742	243	2	u.s	u.s	PROPN
jbi-21742	243	3	.	.	PROPN
jbi-21742	243	4	national	national	PROPN
jbi-21742	243	5	science	science	PROPN
jbi-21742	243	6	foundation	foundation	PROPN
jbi-21742	243	7	also	also	ADV
jbi-21742	243	8	supported	support	VERB
jbi-21742	243	9	the	the	DET
jbi-21742	243	10	work	work	NOUN
jbi-21742	243	11	via	via	ADP
jbi-21742	243	12	grant	grant	NOUN
jbi-21742	243	13	oia1920946	oia1920946	NOUN
jbi-21742	243	14	.	.	PUNCT
jbi-21742	244	1	literature	literature	PROPN
jbi-21742	244	2	cited	cite	VERB
jbi-21742	244	3	akaike	akaike	ADV
jbi-21742	244	4	,	,	PUNCT
jbi-21742	244	5	h.	h.	PROPN
jbi-21742	244	6	1998	1998	NUM
jbi-21742	244	7	.	.	PUNCT
jbi-21742	245	1	information	information	NOUN
jbi-21742	245	2	theory	theory	NOUN
jbi-21742	245	3	and	and	CCONJ
jbi-21742	245	4	an	an	DET
jbi-21742	245	5	extension	extension	NOUN
jbi-21742	245	6	of	of	ADP
jbi-21742	245	7	the	the	DET
jbi-21742	245	8	maximum	maximum	ADJ
jbi-21742	245	9	likelihood	likelihood	NOUN
jbi-21742	245	10	principle	principle	NOUN
jbi-21742	245	11	.	.	PUNCT
jbi-21742	246	1	pp	pp	ADV
jbi-21742	246	2	.	.	PUNCT
jbi-21742	247	1	199–213	199–213	NUM
jbi-21742	247	2	in	in	ADP
jbi-21742	247	3	e.	e.	PROPN
jbi-21742	247	4	parzen	parzen	PROPN
jbi-21742	247	5	,	,	PUNCT
jbi-21742	247	6	k.	k.	PROPN
jbi-21742	247	7	tanabe	tanabe	PROPN
jbi-21742	247	8	,	,	PUNCT
jbi-21742	247	9	and	and	CCONJ
jbi-21742	247	10	g.	g.	PROPN
jbi-21742	247	11	kitagawa	kitagawa	PROPN
jbi-21742	247	12	,	,	PUNCT
jbi-21742	247	13	eds	eds	PROPN
jbi-21742	247	14	.	.	PUNCT
jbi-21742	247	15	selected	select	VERB
jbi-21742	247	16	papers	paper	NOUN
jbi-21742	247	17	of	of	ADP
jbi-21742	247	18	hirotugu	hirotugu	NOUN
jbi-21742	247	19	akaike	akaike	ADJ
jbi-21742	247	20	.	.	PUNCT
jbi-21742	248	1	springer	springer	NOUN
jbi-21742	248	2	,	,	PUNCT
jbi-21742	248	3	new	new	PROPN
jbi-21742	248	4	york	york	PROPN
jbi-21742	248	5	,	,	PUNCT
jbi-21742	248	6	ny	ny	PROPN
jbi-21742	248	7	.	.	PROPN
jbi-21742	248	8	allouche	allouche	PROPN
jbi-21742	248	9	,	,	PUNCT
jbi-21742	248	10	o.	o.	PROPN
jbi-21742	248	11	,	,	PUNCT
jbi-21742	248	12	a.	a.	NOUN
jbi-21742	248	13	tsoar	tsoar	NOUN
jbi-21742	248	14	,	,	PUNCT
jbi-21742	248	15	and	and	CCONJ
jbi-21742	248	16	r.	r.	PROPN
jbi-21742	248	17	kadmon	kadmon	PROPN
jbi-21742	248	18	.	.	PUNCT
jbi-21742	249	1	2006	2006	NUM
jbi-21742	249	2	.	.	PUNCT
jbi-21742	250	1	assessing	assess	VERB
jbi-21742	250	2	the	the	DET
jbi-21742	250	3	accuracy	accuracy	NOUN
jbi-21742	250	4	of	of	ADP
jbi-21742	250	5	species	specie	NOUN
jbi-21742	250	6	distribution	distribution	NOUN
jbi-21742	250	7	models	model	NOUN
jbi-21742	250	8	:	:	PUNCT
jbi-21742	250	9	prevalence	prevalence	NOUN
jbi-21742	250	10	,	,	PUNCT
jbi-21742	250	11	kappa	kappa	NOUN
jbi-21742	250	12	and	and	CCONJ
jbi-21742	250	13	the	the	DET
jbi-21742	250	14	true	true	ADJ
jbi-21742	250	15	skill	skill	NOUN
jbi-21742	250	16	statistic	statistic	NOUN
jbi-21742	250	17	(	(	PUNCT
jbi-21742	250	18	tss	tss	PROPN
jbi-21742	250	19	)	)	PUNCT
jbi-21742	250	20	.	.	PUNCT
jbi-21742	251	1	j.	j.	PROPN
jbi-21742	251	2	appl	appl	PROPN
jbi-21742	251	3	.	.	PUNCT
jbi-21742	252	1	ecol	ecol	PROPN
jbi-21742	252	2	.	.	PUNCT
jbi-21742	253	1	43:1223	43:1223	NUM
jbi-21742	253	2	–	–	PUNCT
jbi-21742	253	3	1232	1232	NUM
jbi-21742	253	4	.	.	PUNCT
jbi-21742	254	1	anderson	anderson	PROPN
jbi-21742	254	2	,	,	PUNCT
jbi-21742	254	3	m.	m.	NOUN
jbi-21742	254	4	j.	j.	PROPN
jbi-21742	254	5	2017	2017	NUM
jbi-21742	254	6	.	.	PUNCT
jbi-21742	255	1	permutational	permutational	ADJ
jbi-21742	255	2	multivariate	multivariate	NOUN
jbi-21742	255	3	analysis	analysis	NOUN
jbi-21742	255	4	of	of	ADP
jbi-21742	255	5	variance	variance	NOUN
jbi-21742	255	6	(	(	PUNCT
jbi-21742	255	7	permanova	permanova	PROPN
jbi-21742	255	8	)	)	PUNCT
jbi-21742	255	9	.	.	PUNCT
jbi-21742	256	1	pp	pp	ADV
jbi-21742	256	2	.	.	PUNCT
jbi-21742	257	1	1–15	1–15	NUM
jbi-21742	257	2	in	in	ADP
jbi-21742	257	3	wiley	wiley	PROPN
jbi-21742	257	4	statsref	statsref	PROPN
jbi-21742	257	5	:	:	PUNCT
jbi-21742	257	6	statistics	statistics	PROPN
jbi-21742	257	7	reference	reference	PROPN
jbi-21742	257	8	online	online	ADV
jbi-21742	257	9	.	.	PUNCT
jbi-21742	258	1	john	john	PROPN
jbi-21742	258	2	wiley	wiley	PROPN
jbi-21742	258	3	&	&	CCONJ
jbi-21742	258	4	sons	sons	PROPN
jbi-21742	258	5	,	,	PUNCT
jbi-21742	258	6	ltd	ltd	PROPN
jbi-21742	258	7	.	.	PROPN
jbi-21742	258	8	araújo	araújo	PROPN
jbi-21742	258	9	,	,	PUNCT
jbi-21742	258	10	m.	m.	PROPN
jbi-21742	258	11	b.	b.	PROPN
jbi-21742	258	12	,	,	PUNCT
jbi-21742	258	13	and	and	CCONJ
jbi-21742	258	14	a.	a.	NOUN
jbi-21742	258	15	guisan	guisan	PROPN
jbi-21742	258	16	.	.	PUNCT
jbi-21742	259	1	2006	2006	NUM
jbi-21742	259	2	.	.	PUNCT
jbi-21742	260	1	five	five	NUM
jbi-21742	260	2	(	(	PUNCT
jbi-21742	260	3	or	or	CCONJ
jbi-21742	260	4	so	so	ADV
jbi-21742	260	5	)	)	PUNCT
jbi-21742	260	6	challenges	challenge	NOUN
jbi-21742	260	7	for	for	ADP
jbi-21742	260	8	species	specie	NOUN
jbi-21742	260	9	distribution	distribution	NOUN
jbi-21742	260	10	modelling	modelling	NOUN
jbi-21742	260	11	.	.	PUNCT
jbi-21742	261	1	j.	j.	PROPN
jbi-21742	261	2	biogeogr	biogeogr	PROPN
jbi-21742	261	3	.	.	PUNCT
jbi-21742	262	1	33:1677–1688	33:1677–1688	X
jbi-21742	262	2	.	.	PUNCT
jbi-21742	262	3	arias	arias	PROPN
jbi-21742	262	4	-	-	PUNCT
jbi-21742	262	5	giraldo	giraldo	PROPN
jbi-21742	262	6	et	et	PROPN
jbi-21742	262	7	al	al	PROPN
jbi-21742	262	8	.	.	PROPN
jbi-21742	262	9	–	–	PUNCT
jbi-21742	262	10	enmpa	enmpa	NOUN
jbi-21742	262	11	39	39	NUM
jbi-21742	262	12	austin	austin	PROPN
jbi-21742	262	13	,	,	PUNCT
jbi-21742	262	14	m.	m.	NOUN
jbi-21742	262	15	2007	2007	NUM
jbi-21742	262	16	.	.	PUNCT
jbi-21742	263	1	species	specie	NOUN
jbi-21742	263	2	distribution	distribution	NOUN
jbi-21742	263	3	models	model	NOUN
jbi-21742	263	4	and	and	CCONJ
jbi-21742	263	5	ecological	ecological	ADJ
jbi-21742	263	6	theory	theory	NOUN
jbi-21742	263	7	:	:	PUNCT
jbi-21742	263	8	a	a	DET
jbi-21742	263	9	critical	critical	ADJ
jbi-21742	263	10	assessment	assessment	NOUN
jbi-21742	263	11	and	and	CCONJ
jbi-21742	263	12	some	some	DET
jbi-21742	263	13	possible	possible	ADJ
jbi-21742	263	14	new	new	ADJ
jbi-21742	263	15	approaches	approach	NOUN
jbi-21742	263	16	.	.	PUNCT
jbi-21742	264	1	ecol	ecol	NOUN
jbi-21742	264	2	.	.	PUNCT
jbi-21742	265	1	model	model	NOUN
jbi-21742	265	2	.	.	PUNCT
jbi-21742	266	1	200:1–19	200:1–19	NUM
jbi-21742	266	2	.	.	PUNCT
jbi-21742	267	1	austin	austin	PROPN
jbi-21742	267	2	,	,	PUNCT
jbi-21742	267	3	m.	m.	NOUN
jbi-21742	267	4	p.	p.	PROPN
jbi-21742	267	5	2002	2002	NUM
jbi-21742	267	6	.	.	PUNCT
jbi-21742	268	1	spatial	spatial	ADJ
jbi-21742	268	2	prediction	prediction	NOUN
jbi-21742	268	3	of	of	ADP
jbi-21742	268	4	species	specie	NOUN
jbi-21742	268	5	distribution	distribution	NOUN
jbi-21742	268	6	:	:	PUNCT
jbi-21742	268	7	an	an	DET
jbi-21742	268	8	interface	interface	NOUN
jbi-21742	268	9	between	between	ADP
jbi-21742	268	10	ecological	ecological	ADJ
jbi-21742	268	11	theory	theory	NOUN
jbi-21742	268	12	and	and	CCONJ
jbi-21742	268	13	statistical	statistical	ADJ
jbi-21742	268	14	modelling	modelling	NOUN
jbi-21742	268	15	.	.	PUNCT
jbi-21742	269	1	ecol	ecol	NOUN
jbi-21742	269	2	.	.	PUNCT
jbi-21742	270	1	model	model	NOUN
jbi-21742	270	2	.	.	PUNCT
jbi-21742	271	1	157:101–118	157:101–118	NUM
jbi-21742	271	2	.	.	PUNCT
jbi-21742	272	1	austin	austin	PROPN
jbi-21742	272	2	,	,	PUNCT
jbi-21742	272	3	m.	m.	NOUN
jbi-21742	272	4	p.	p.	PROPN
jbi-21742	272	5	,	,	PUNCT
jbi-21742	272	6	a.	a.	PROPN
jbi-21742	272	7	o.	o.	PROPN
jbi-21742	272	8	nicholls	nicholls	PROPN
jbi-21742	272	9	,	,	PUNCT
jbi-21742	272	10	and	and	CCONJ
jbi-21742	272	11	c.	c.	PROPN
jbi-21742	272	12	r.	r.	PROPN
jbi-21742	272	13	margules	margules	PROPN
jbi-21742	272	14	.	.	PUNCT
jbi-21742	273	1	1990	1990	NUM
jbi-21742	273	2	.	.	PUNCT
jbi-21742	274	1	measurement	measurement	NOUN
jbi-21742	274	2	of	of	ADP
jbi-21742	274	3	the	the	DET
jbi-21742	274	4	realized	realize	VERB
jbi-21742	274	5	qualitative	qualitative	ADJ
jbi-21742	274	6	niche	niche	NOUN
jbi-21742	274	7	:	:	PUNCT
jbi-21742	274	8	environmental	environmental	ADJ
jbi-21742	274	9	niches	niche	NOUN
jbi-21742	274	10	of	of	ADP
jbi-21742	274	11	five	five	NUM
jbi-21742	274	12	eucalyptus	eucalyptus	NOUN
jbi-21742	274	13	species	specie	NOUN
jbi-21742	274	14	.	.	PUNCT
jbi-21742	275	1	ecol	ecol	PROPN
jbi-21742	275	2	.	.	PUNCT
jbi-21742	276	1	monogr	monogr	NOUN
jbi-21742	276	2	.	.	PUNCT
jbi-21742	277	1	60:161–177	60:161–177	PROPN
jbi-21742	277	2	.	.	PUNCT
jbi-21742	278	1	blowes	blowe	NOUN
jbi-21742	278	2	,	,	PUNCT
jbi-21742	278	3	s.	s.	PROPN
jbi-21742	278	4	a.	a.	PROPN
jbi-21742	278	5	,	,	PUNCT
jbi-21742	278	6	s.	s.	PROPN
jbi-21742	278	7	r.	r.	PROPN
jbi-21742	278	8	supp	supp	PROPN
jbi-21742	278	9	,	,	PUNCT
jbi-21742	278	10	l.	l.	PROPN
jbi-21742	278	11	h.	h.	PROPN
jbi-21742	278	12	antão	antão	PROPN
jbi-21742	278	13	,	,	PUNCT
jbi-21742	278	14	a.	a.	NOUN
jbi-21742	278	15	bates	bates	PROPN
jbi-21742	278	16	,	,	PUNCT
jbi-21742	278	17	h.	h.	PROPN
jbi-21742	278	18	bruelheide	bruelheide	PROPN
jbi-21742	278	19	,	,	PUNCT
jbi-21742	278	20	j.	j.	PROPN
jbi-21742	278	21	m.	m.	PROPN
jbi-21742	278	22	chase	chase	PROPN
jbi-21742	278	23	,	,	PUNCT
jbi-21742	278	24	f.	f.	PROPN
jbi-21742	278	25	moyes	moyes	PROPN
jbi-21742	278	26	,	,	PUNCT
jbi-21742	278	27	a.	a.	NOUN
jbi-21742	278	28	magurran	magurran	PROPN
jbi-21742	278	29	,	,	PUNCT
jbi-21742	278	30	b.	b.	PROPN
jbi-21742	278	31	mcgill	mcgill	PROPN
jbi-21742	278	32	,	,	PUNCT
jbi-21742	278	33	i.	i.	PROPN
jbi-21742	278	34	h.	h.	PROPN
jbi-21742	278	35	myerssmith	myerssmith	PROPN
jbi-21742	278	36	,	,	PUNCT
jbi-21742	278	37	m.	m.	NOUN
jbi-21742	278	38	winter	winter	NOUN
jbi-21742	278	39	,	,	PUNCT
jbi-21742	278	40	a.	a.	PROPN
jbi-21742	278	41	d.	d.	PROPN
jbi-21742	278	42	bjorkman	bjorkman	PROPN
jbi-21742	278	43	,	,	PUNCT
jbi-21742	278	44	d.	d.	PROPN
jbi-21742	278	45	e.	e.	PROPN
jbi-21742	278	46	bowler	bowler	PROPN
jbi-21742	278	47	,	,	PUNCT
jbi-21742	278	48	j.	j.	PROPN
jbi-21742	278	49	e.	e.	PROPN
jbi-21742	278	50	k.	k.	PROPN
jbi-21742	278	51	byrnes	byrnes	PROPN
jbi-21742	278	52	,	,	PUNCT
jbi-21742	278	53	a.	a.	PROPN
jbi-21742	278	54	gonzalez	gonzalez	PROPN
jbi-21742	278	55	,	,	PUNCT
jbi-21742	278	56	j.	j.	PROPN
jbi-21742	278	57	hines	hines	PROPN
jbi-21742	278	58	,	,	PUNCT
jbi-21742	278	59	f.	f.	PROPN
jbi-21742	278	60	isbell	isbell	PROPN
jbi-21742	278	61	,	,	PUNCT
jbi-21742	278	62	h.	h.	PROPN
jbi-21742	278	63	p.	p.	PROPN
jbi-21742	278	64	jones	jones	PROPN
jbi-21742	278	65	,	,	PUNCT
jbi-21742	278	66	l.	l.	PROPN
jbi-21742	278	67	m.	m.	PROPN
jbi-21742	278	68	navarro	navarro	PROPN
jbi-21742	278	69	,	,	PUNCT
jbi-21742	278	70	p.	p.	PROPN
jbi-21742	278	71	l.	l.	PROPN
jbi-21742	278	72	thompson	thompson	PROPN
jbi-21742	278	73	,	,	PUNCT
jbi-21742	278	74	m.	m.	NOUN
jbi-21742	278	75	vellend	vellend	NOUN
jbi-21742	278	76	,	,	PUNCT
jbi-21742	278	77	c.	c.	NOUN
jbi-21742	278	78	waldock	waldock	NOUN
jbi-21742	278	79	,	,	PUNCT
jbi-21742	278	80	and	and	CCONJ
jbi-21742	278	81	m.	m.	NOUN
jbi-21742	278	82	dornelas	dornela	NOUN
jbi-21742	278	83	.	.	PUNCT
jbi-21742	279	1	2019	2019	NUM
jbi-21742	279	2	.	.	PUNCT
jbi-21742	280	1	the	the	DET
jbi-21742	280	2	geography	geography	NOUN
jbi-21742	280	3	of	of	ADP
jbi-21742	280	4	biodiversity	biodiversity	NOUN
jbi-21742	280	5	change	change	NOUN
jbi-21742	280	6	in	in	ADP
jbi-21742	280	7	marine	marine	ADJ
jbi-21742	280	8	and	and	CCONJ
jbi-21742	280	9	terrestrial	terrestrial	ADJ
jbi-21742	280	10	assemblages	assemblage	NOUN
jbi-21742	280	11	.	.	PUNCT
jbi-21742	281	1	science	science	NOUN
jbi-21742	281	2	366:339–345	366:339–345	NUM
jbi-21742	281	3	.	.	PUNCT
jbi-21742	282	1	american	american	PROPN
jbi-21742	282	2	association	association	PROPN
jbi-21742	282	3	for	for	ADP
jbi-21742	282	4	the	the	DET
jbi-21742	282	5	advancement	advancement	NOUN
jbi-21742	282	6	of	of	ADP
jbi-21742	282	7	science	science	NOUN
jbi-21742	282	8	.	.	PUNCT
jbi-21742	283	1	bolker	bolker	PROPN
jbi-21742	283	2	,	,	PUNCT
jbi-21742	283	3	b.	b.	PROPN
jbi-21742	283	4	m.	m.	PROPN
jbi-21742	283	5	,	,	PUNCT
jbi-21742	283	6	m.	m.	PROPN
jbi-21742	283	7	e.	e.	PROPN
jbi-21742	283	8	brooks	brooks	PROPN
jbi-21742	283	9	,	,	PUNCT
jbi-21742	283	10	c.	c.	PROPN
jbi-21742	283	11	j.	j.	PROPN
jbi-21742	283	12	clark	clark	PROPN
jbi-21742	283	13	,	,	PUNCT
jbi-21742	283	14	s.	s.	PROPN
jbi-21742	283	15	w.	w.	PROPN
jbi-21742	283	16	geange	geange	PROPN
jbi-21742	283	17	,	,	PUNCT
jbi-21742	283	18	j.	j.	PROPN
jbi-21742	283	19	r.	r.	PROPN
jbi-21742	283	20	poulsen	poulsen	PROPN
jbi-21742	283	21	,	,	PUNCT
jbi-21742	283	22	m.	m.	PROPN
jbi-21742	283	23	h.	h.	PROPN
jbi-21742	283	24	h.	h.	PROPN
jbi-21742	283	25	stevens	stevens	PROPN
jbi-21742	283	26	,	,	PUNCT
jbi-21742	283	27	and	and	CCONJ
jbi-21742	283	28	j.-s	j.-	NOUN
jbi-21742	283	29	.	.	PUNCT
jbi-21742	284	1	s.	s.	PROPN
jbi-21742	284	2	white	white	PROPN
jbi-21742	284	3	.	.	PUNCT
jbi-21742	285	1	2009	2009	NUM
jbi-21742	285	2	.	.	PUNCT
jbi-21742	286	1	generalized	generalize	VERB
jbi-21742	286	2	linear	linear	ADJ
jbi-21742	286	3	mixed	mixed	ADJ
jbi-21742	286	4	models	model	NOUN
jbi-21742	286	5	:	:	PUNCT
jbi-21742	286	6	a	a	DET
jbi-21742	286	7	practical	practical	ADJ
jbi-21742	286	8	guide	guide	NOUN
jbi-21742	286	9	for	for	ADP
jbi-21742	286	10	ecology	ecology	NOUN
jbi-21742	286	11	and	and	CCONJ
jbi-21742	286	12	evolution	evolution	NOUN
jbi-21742	286	13	.	.	PUNCT
jbi-21742	287	1	trends	trend	NOUN
jbi-21742	287	2	ecol	ecol	PRON
jbi-21742	287	3	.	.	PUNCT
jbi-21742	288	1	evol	evol	NOUN
jbi-21742	288	2	.	.	PUNCT
jbi-21742	289	1	24:127–135	24:127–135	NOUN
jbi-21742	289	2	.	.	PUNCT
jbi-21742	290	1	burnham	burnham	PROPN
jbi-21742	290	2	,	,	PUNCT
jbi-21742	290	3	k.	k.	PROPN
jbi-21742	290	4	p.	p.	PROPN
jbi-21742	290	5	,	,	PUNCT
jbi-21742	290	6	and	and	CCONJ
jbi-21742	290	7	d.	d.	PROPN
jbi-21742	290	8	r.	r.	PROPN
jbi-21742	290	9	anderson	anderson	PROPN
jbi-21742	290	10	.	.	PUNCT
jbi-21742	291	1	1998	1998	NUM
jbi-21742	291	2	.	.	PUNCT
jbi-21742	292	1	practical	practical	ADJ
jbi-21742	292	2	use	use	NOUN
jbi-21742	292	3	of	of	ADP
jbi-21742	292	4	the	the	DET
jbi-21742	292	5	information	information	NOUN
jbi-21742	292	6	-	-	PUNCT
jbi-21742	292	7	theoretic	theoretic	NOUN
jbi-21742	292	8	approach	approach	NOUN
jbi-21742	292	9	.	.	PUNCT
jbi-21742	293	1	pp	pp	ADJ
jbi-21742	293	2	.	.	PUNCT
jbi-21742	294	1	75–117	75–117	NUM
jbi-21742	294	2	in	in	ADP
jbi-21742	294	3	k.	k.	PROPN
jbi-21742	294	4	p.	p.	PROPN
jbi-21742	294	5	burnham	burnham	PROPN
jbi-21742	294	6	and	and	CCONJ
jbi-21742	294	7	d.	d.	PROPN
jbi-21742	294	8	r.	r.	PROPN
jbi-21742	294	9	anderson	anderson	PROPN
jbi-21742	294	10	,	,	PUNCT
jbi-21742	294	11	eds	eds	PROPN
jbi-21742	294	12	.	.	PUNCT
jbi-21742	294	13	model	model	NOUN
jbi-21742	294	14	selection	selection	NOUN
jbi-21742	294	15	and	and	CCONJ
jbi-21742	294	16	inference	inference	NOUN
jbi-21742	294	17	:	:	PUNCT
jbi-21742	294	18	a	a	DET
jbi-21742	294	19	practical	practical	ADJ
jbi-21742	294	20	information	information	NOUN
jbi-21742	294	21	-	-	PUNCT
jbi-21742	294	22	theoretic	theoretic	NOUN
jbi-21742	294	23	approach	approach	NOUN
jbi-21742	294	24	.	.	PUNCT
jbi-21742	295	1	springer	springer	NOUN
jbi-21742	295	2	,	,	PUNCT
jbi-21742	295	3	new	new	PROPN
jbi-21742	295	4	york	york	PROPN
jbi-21742	295	5	,	,	PUNCT
jbi-21742	295	6	ny	ny	PROPN
jbi-21742	295	7	.	.	PROPN
jbi-21742	295	8	clouvel	clouvel	PROPN
jbi-21742	295	9	,	,	PUNCT
jbi-21742	295	10	l.	l.	PROPN
jbi-21742	295	11	,	,	PUNCT
jbi-21742	295	12	b.	b.	PROPN
jbi-21742	295	13	iooss	iooss	PROPN
jbi-21742	295	14	,	,	PUNCT
jbi-21742	295	15	v.	v.	PROPN
jbi-21742	295	16	chabridon	chabridon	NOUN
jbi-21742	295	17	,	,	PUNCT
jbi-21742	295	18	m.	m.	PROPN
jbi-21742	295	19	il	il	PROPN
jbi-21742	295	20	idrissi	idrissi	PROPN
jbi-21742	295	21	,	,	PUNCT
jbi-21742	295	22	and	and	CCONJ
jbi-21742	295	23	f.	f.	PROPN
jbi-21742	295	24	robin	robin	PROPN
jbi-21742	295	25	.	.	PUNCT
jbi-21742	296	1	2023	2023	NUM
jbi-21742	296	2	.	.	PUNCT
jbi-21742	297	1	a	a	DET
jbi-21742	297	2	review	review	NOUN
jbi-21742	297	3	on	on	ADP
jbi-21742	297	4	variance	variance	NOUN
jbi-21742	297	5	-	-	PUNCT
jbi-21742	297	6	based	base	VERB
jbi-21742	297	7	importance	importance	NOUN
jbi-21742	297	8	measures	measure	NOUN
jbi-21742	297	9	in	in	ADP
jbi-21742	297	10	the	the	DET
jbi-21742	297	11	linear	linear	ADJ
jbi-21742	297	12	regression	regression	NOUN
jbi-21742	297	13	context	context	NOUN
jbi-21742	297	14	.	.	PUNCT
jbi-21742	298	1	hal-04102053v2	hal-04102053v2	PROPN
jbi-21742	298	2	cobos	cobos	PROPN
jbi-21742	298	3	,	,	PUNCT
jbi-21742	298	4	m.	m.	PROPN
jbi-21742	298	5	e.	e.	PROPN
jbi-21742	298	6	,	,	PUNCT
jbi-21742	298	7	and	and	CCONJ
jbi-21742	298	8	a.	a.	NOUN
jbi-21742	298	9	t.	t.	PROPN
jbi-21742	298	10	peterson	peterson	PROPN
jbi-21742	298	11	.	.	PROPN
jbi-21742	298	12	2022	2022	NUM
jbi-21742	298	13	.	.	PUNCT
jbi-21742	299	1	detecting	detect	VERB
jbi-21742	299	2	signals	signal	NOUN
jbi-21742	299	3	of	of	ADP
jbi-21742	299	4	species	specie	NOUN
jbi-21742	299	5	’	'	PUNCT
jbi-21742	299	6	ecological	ecological	ADJ
jbi-21742	299	7	niches	niche	NOUN
jbi-21742	299	8	in	in	ADP
jbi-21742	299	9	results	result	NOUN
jbi-21742	299	10	of	of	ADP
jbi-21742	299	11	studies	study	NOUN
jbi-21742	299	12	with	with	ADP
jbi-21742	299	13	defined	define	VERB
jbi-21742	299	14	sampling	sample	VERB
jbi-21742	299	15	protocols	protocol	NOUN
jbi-21742	299	16	:	:	PUNCT
jbi-21742	299	17	example	example	NOUN
jbi-21742	299	18	application	application	NOUN
jbi-21742	299	19	to	to	PART
jbi-21742	299	20	pathogen	pathogen	VERB
jbi-21742	299	21	niches	niche	NOUN
jbi-21742	299	22	.	.	PUNCT
jbi-21742	300	1	biodivers	biodiver	NOUN
jbi-21742	300	2	.	.	PUNCT
jbi-21742	301	1	inform	inform	NOUN
jbi-21742	301	2	.	.	PUNCT
jbi-21742	302	1	17:50–58	17:50–58	PROPN
jbi-21742	302	2	.	.	PUNCT
jbi-21742	303	1	cobos	cobos	PROPN
jbi-21742	303	2	,	,	PUNCT
jbi-21742	303	3	m.	m.	PROPN
jbi-21742	303	4	e.	e.	PROPN
jbi-21742	303	5	,	,	PUNCT
jbi-21742	303	6	a.	a.	PROPN
jbi-21742	303	7	t.	t.	PROPN
jbi-21742	303	8	peterson	peterson	PROPN
jbi-21742	303	9	,	,	PUNCT
jbi-21742	303	10	n.	n.	PROPN
jbi-21742	303	11	barve	barve	PROPN
jbi-21742	303	12	,	,	PUNCT
jbi-21742	303	13	and	and	CCONJ
jbi-21742	303	14	l.	l.	PROPN
jbi-21742	303	15	osorio	osorio	PROPN
jbi-21742	303	16	-	-	PUNCT
jbi-21742	303	17	olvera	olvera	PROPN
jbi-21742	303	18	.	.	PUNCT
jbi-21742	304	1	2019a	2019a	NUM
jbi-21742	304	2	.	.	PUNCT
jbi-21742	305	1	kuenm	kuenm	ADV
jbi-21742	305	2	:	:	PUNCT
jbi-21742	305	3	an	an	DET
jbi-21742	305	4	r	r	NOUN
jbi-21742	305	5	package	package	NOUN
jbi-21742	305	6	for	for	ADP
jbi-21742	305	7	detailed	detailed	ADJ
jbi-21742	305	8	development	development	NOUN
jbi-21742	305	9	of	of	ADP
jbi-21742	305	10	ecological	ecological	ADJ
jbi-21742	305	11	niche	niche	NOUN
jbi-21742	305	12	models	model	NOUN
jbi-21742	305	13	using	use	VERB
jbi-21742	305	14	maxent	maxent	NOUN
jbi-21742	305	15	.	.	PUNCT
jbi-21742	306	1	peerj	peerj	PROPN
jbi-21742	306	2	7	7	NUM
jbi-21742	306	3	:	:	PUNCT
jbi-21742	306	4	e6281	e6281	PROPN
jbi-21742	306	5	.	.	PUNCT
jbi-21742	307	1	peerj	peerj	PROPN
jbi-21742	307	2	inc	inc	PROPN
jbi-21742	307	3	.	.	PROPN
jbi-21742	307	4	cobos	cobos	PROPN
jbi-21742	307	5	,	,	PUNCT
jbi-21742	307	6	m.	m.	PROPN
jbi-21742	307	7	e.	e.	PROPN
jbi-21742	307	8	,	,	PUNCT
jbi-21742	307	9	a.	a.	PROPN
jbi-21742	307	10	t.	t.	PROPN
jbi-21742	307	11	peterson	peterson	PROPN
jbi-21742	307	12	,	,	PUNCT
jbi-21742	307	13	l.	l.	PROPN
jbi-21742	307	14	osorio	osorio	PROPN
jbi-21742	307	15	-	-	PUNCT
jbi-21742	307	16	olvera	olvera	PROPN
jbi-21742	307	17	,	,	PUNCT
jbi-21742	307	18	and	and	CCONJ
jbi-21742	307	19	d.	d.	PROPN
jbi-21742	307	20	jiménezgarcía	jiménezgarcía	PROPN
jbi-21742	307	21	.	.	PUNCT
jbi-21742	308	1	2019b	2019b	NOUN
jbi-21742	308	2	.	.	PUNCT
jbi-21742	309	1	an	an	DET
jbi-21742	309	2	exhaustive	exhaustive	ADJ
jbi-21742	309	3	analysis	analysis	NOUN
jbi-21742	309	4	of	of	ADP
jbi-21742	309	5	heuristic	heuristic	ADJ
jbi-21742	309	6	methods	method	NOUN
jbi-21742	309	7	for	for	ADP
jbi-21742	309	8	variable	variable	ADJ
jbi-21742	309	9	selection	selection	NOUN
jbi-21742	309	10	in	in	ADP
jbi-21742	309	11	ecological	ecological	ADJ
jbi-21742	309	12	niche	niche	NOUN
jbi-21742	309	13	modeling	modeling	NOUN
jbi-21742	309	14	and	and	CCONJ
jbi-21742	309	15	species	species	NOUN
jbi-21742	309	16	distribution	distribution	NOUN
jbi-21742	309	17	modeling	modeling	NOUN
jbi-21742	309	18	.	.	PUNCT
jbi-21742	310	1	ecol	ecol	NOUN
jbi-21742	310	2	.	.	PUNCT
jbi-21742	311	1	inform	inform	NOUN
jbi-21742	311	2	.	.	PUNCT
jbi-21742	312	1	53:100983	53:100983	NOUN
jbi-21742	312	2	.	.	PUNCT
jbi-21742	313	1	cordier	cordier	PROPN
jbi-21742	313	2	,	,	PUNCT
jbi-21742	313	3	j.	j.	PROPN
jbi-21742	313	4	m.	m.	PROPN
jbi-21742	313	5	,	,	PUNCT
jbi-21742	313	6	r.	r.	PROPN
jbi-21742	313	7	loyola	loyola	PROPN
jbi-21742	313	8	,	,	PUNCT
jbi-21742	313	9	o.	o.	PROPN
jbi-21742	313	10	rojas	rojas	PROPN
jbi-21742	313	11	-	-	PUNCT
jbi-21742	313	12	soto	soto	PROPN
jbi-21742	313	13	,	,	PUNCT
jbi-21742	313	14	and	and	CCONJ
jbi-21742	313	15	j.	j.	PROPN
jbi-21742	313	16	nori	nori	PROPN
jbi-21742	313	17	.	.	PUNCT
jbi-21742	314	1	2020	2020	NUM
jbi-21742	314	2	.	.	PUNCT
jbi-21742	315	1	modeling	model	VERB
jbi-21742	315	2	invasive	invasive	ADJ
jbi-21742	315	3	species	specie	NOUN
jbi-21742	315	4	risk	risk	NOUN
jbi-21742	315	5	from	from	ADP
jbi-21742	315	6	established	establish	VERB
jbi-21742	315	7	populations	population	NOUN
jbi-21742	315	8	:	:	PUNCT
jbi-21742	315	9	insights	insight	NOUN
jbi-21742	315	10	for	for	ADP
jbi-21742	315	11	management	management	NOUN
jbi-21742	315	12	and	and	CCONJ
jbi-21742	315	13	conservation	conservation	NOUN
jbi-21742	315	14	.	.	PUNCT
jbi-21742	316	1	perspect	perspect	NOUN
jbi-21742	316	2	.	.	PUNCT
jbi-21742	317	1	ecol	ecol	PROPN
jbi-21742	317	2	.	.	PUNCT
jbi-21742	318	1	conserv	conserv	NOUN
jbi-21742	318	2	.	.	PUNCT
jbi-21742	319	1	18:132–138	18:132–138	PROPN
jbi-21742	319	2	.	.	PUNCT
jbi-21742	320	1	efroymson	efroymson	PROPN
jbi-21742	320	2	,	,	PUNCT
jbi-21742	320	3	m.	m.	NOUN
jbi-21742	320	4	a.	a.	NOUN
jbi-21742	320	5	1960	1960	NUM
jbi-21742	320	6	.	.	PUNCT
jbi-21742	321	1	multiple	multiple	ADJ
jbi-21742	321	2	regression	regression	NOUN
jbi-21742	321	3	analysis	analysis	NOUN
jbi-21742	321	4	.	.	PUNCT
jbi-21742	322	1	math	math	NOUN
jbi-21742	322	2	.	.	PUNCT
jbi-21742	323	1	methods	method	NOUN
jbi-21742	323	2	digit	digit	VERB
jbi-21742	323	3	.	.	PUNCT
jbi-21742	324	1	comput	comput	NOUN
jbi-21742	324	2	.	.	PUNCT
jbi-21742	325	1	191–203	191–203	NUM
jbi-21742	325	2	.	.	PUNCT
jbi-21742	326	1	john	john	PROPN
jbi-21742	326	2	wiley	wiley	PROPN
jbi-21742	326	3	&	&	CCONJ
jbi-21742	326	4	sons	son	NOUN
jbi-21742	326	5	.	.	PUNCT
jbi-21742	327	1	elith	elith	PROPN
jbi-21742	327	2	,	,	PUNCT
jbi-21742	327	3	j.	j.	PROPN
jbi-21742	327	4	,	,	PUNCT
jbi-21742	327	5	s.	s.	PROPN
jbi-21742	327	6	ferrier	ferrier	PROPN
jbi-21742	327	7	,	,	PUNCT
jbi-21742	327	8	f.	f.	PROPN
jbi-21742	327	9	huettmann	huettmann	PROPN
jbi-21742	327	10	,	,	PUNCT
jbi-21742	327	11	and	and	CCONJ
jbi-21742	327	12	j.	j.	PROPN
jbi-21742	327	13	leathwick	leathwick	PROPN
jbi-21742	327	14	.	.	PROPN
jbi-21742	327	15	2005	2005	NUM
jbi-21742	327	16	.	.	PUNCT
jbi-21742	328	1	the	the	DET
jbi-21742	328	2	evaluation	evaluation	NOUN
jbi-21742	328	3	strip	strip	PROPN
jbi-21742	328	4	:	:	PUNCT
jbi-21742	328	5	a	a	DET
jbi-21742	328	6	new	new	ADJ
jbi-21742	328	7	and	and	CCONJ
jbi-21742	328	8	robust	robust	ADJ
jbi-21742	328	9	method	method	NOUN
jbi-21742	328	10	for	for	ADP
jbi-21742	328	11	plotting	plot	VERB
jbi-21742	328	12	predicted	predict	VERB
jbi-21742	328	13	responses	response	NOUN
jbi-21742	328	14	from	from	ADP
jbi-21742	328	15	species	specie	NOUN
jbi-21742	328	16	distribution	distribution	NOUN
jbi-21742	328	17	models	model	NOUN
jbi-21742	328	18	.	.	PUNCT
jbi-21742	329	1	ecol	ecol	PROPN
jbi-21742	329	2	.	.	PUNCT
jbi-21742	330	1	model	model	NOUN
jbi-21742	330	2	.	.	PUNCT
jbi-21742	331	1	186:280–289	186:280–289	NUM
jbi-21742	331	2	.	.	PUNCT
jbi-21742	332	1	elith	elith	PROPN
jbi-21742	332	2	,	,	PUNCT
jbi-21742	332	3	j.	j.	PROPN
jbi-21742	332	4	,	,	PUNCT
jbi-21742	332	5	c.	c.	PROPN
jbi-21742	332	6	h.	h.	PROPN
jbi-21742	332	7	graham	graham	PROPN
jbi-21742	333	1	*	*	PROPN
jbi-21742	333	2	,	,	PUNCT
jbi-21742	333	3	r.	r.	PROPN
jbi-21742	333	4	p.	p.	PROPN
jbi-21742	333	5	anderson	anderson	PROPN
jbi-21742	333	6	,	,	PUNCT
jbi-21742	333	7	m.	m.	NOUN
jbi-21742	333	8	dudík	dudík	PROPN
jbi-21742	333	9	,	,	PUNCT
jbi-21742	333	10	s.	s.	PROPN
jbi-21742	333	11	ferrier	ferrier	PROPN
jbi-21742	333	12	,	,	PUNCT
jbi-21742	333	13	a.	a.	NOUN
jbi-21742	333	14	guisan	guisan	PROPN
jbi-21742	333	15	,	,	PUNCT
jbi-21742	333	16	r.	r.	PROPN
jbi-21742	333	17	j.	j.	PROPN
jbi-21742	333	18	hijmans	hijmans	PROPN
jbi-21742	333	19	,	,	PUNCT
jbi-21742	333	20	f.	f.	PROPN
jbi-21742	333	21	huettmann	huettmann	PROPN
jbi-21742	333	22	,	,	PUNCT
jbi-21742	333	23	j.	j.	PROPN
jbi-21742	333	24	r.	r.	PROPN
jbi-21742	333	25	leathwick	leathwick	PROPN
jbi-21742	333	26	,	,	PUNCT
jbi-21742	333	27	a.	a.	PROPN
jbi-21742	333	28	lehmann	lehmann	PROPN
jbi-21742	333	29	,	,	PUNCT
jbi-21742	333	30	j.	j.	PROPN
jbi-21742	333	31	li	li	PROPN
jbi-21742	333	32	,	,	PUNCT
jbi-21742	333	33	l.	l.	PROPN
jbi-21742	333	34	g.	g.	PROPN
jbi-21742	333	35	lohmann	lohmann	PROPN
jbi-21742	333	36	,	,	PUNCT
jbi-21742	333	37	b.	b.	PROPN
jbi-21742	333	38	a.	a.	PROPN
jbi-21742	333	39	loiselle	loiselle	PROPN
jbi-21742	333	40	,	,	PUNCT
jbi-21742	333	41	g.	g.	PROPN
jbi-21742	333	42	manion	manion	PROPN
jbi-21742	333	43	,	,	PUNCT
jbi-21742	333	44	c.	c.	PROPN
jbi-21742	333	45	moritz	moritz	PROPN
jbi-21742	333	46	,	,	PUNCT
jbi-21742	333	47	m.	m.	NOUN
jbi-21742	333	48	nakamura	nakamura	PROPN
jbi-21742	333	49	,	,	PUNCT
jbi-21742	333	50	y.	y.	PROPN
jbi-21742	333	51	nakazawa	nakazawa	PROPN
jbi-21742	333	52	,	,	PUNCT
jbi-21742	333	53	j.	j.	PROPN
jbi-21742	333	54	mcc	mcc	PROPN
jbi-21742	333	55	.	.	PROPN
jbi-21742	333	56	m.	m.	PROPN
jbi-21742	333	57	overton	overton	PROPN
jbi-21742	333	58	,	,	PUNCT
jbi-21742	333	59	a.	a.	PROPN
jbi-21742	333	60	townsend	townsend	PROPN
jbi-21742	333	61	peterson	peterson	PROPN
jbi-21742	333	62	,	,	PUNCT
jbi-21742	333	63	s.	s.	PROPN
jbi-21742	333	64	j.	j.	PROPN
jbi-21742	333	65	phillips	phillips	PROPN
jbi-21742	333	66	,	,	PUNCT
jbi-21742	333	67	k.	k.	PROPN
jbi-21742	333	68	richardson	richardson	PROPN
jbi-21742	333	69	,	,	PUNCT
jbi-21742	333	70	r.	r.	PROPN
jbi-21742	333	71	scachetti	scachetti	PROPN
jbi-21742	333	72	-	-	PUNCT
jbi-21742	333	73	pereira	pereira	PROPN
jbi-21742	333	74	,	,	PUNCT
jbi-21742	333	75	r.	r.	PROPN
jbi-21742	333	76	e.	e.	PROPN
jbi-21742	333	77	schapire	schapire	PROPN
jbi-21742	333	78	,	,	PUNCT
jbi-21742	333	79	j.	j.	PROPN
jbi-21742	333	80	soberón	soberón	PROPN
jbi-21742	333	81	,	,	PUNCT
jbi-21742	333	82	s.	s.	PROPN
jbi-21742	333	83	williams	williams	PROPN
jbi-21742	333	84	,	,	PUNCT
jbi-21742	333	85	m.	m.	PROPN
jbi-21742	333	86	s.	s.	PROPN
jbi-21742	333	87	wisz	wisz	PROPN
jbi-21742	333	88	,	,	PUNCT
jbi-21742	333	89	and	and	CCONJ
jbi-21742	333	90	n.	n.	PROPN
jbi-21742	333	91	e.	e.	PROPN
jbi-21742	333	92	zimmermann	zimmermann	PROPN
jbi-21742	333	93	.	.	PUNCT
jbi-21742	334	1	2006	2006	NUM
jbi-21742	334	2	.	.	PUNCT
jbi-21742	335	1	novel	novel	ADJ
jbi-21742	335	2	methods	method	NOUN
jbi-21742	335	3	improve	improve	VERB
jbi-21742	335	4	prediction	prediction	NOUN
jbi-21742	335	5	of	of	ADP
jbi-21742	335	6	species	specie	NOUN
jbi-21742	335	7	’	'	PUNCT
jbi-21742	335	8	distributions	distribution	NOUN
jbi-21742	335	9	from	from	ADP
jbi-21742	335	10	occurrence	occurrence	NOUN
jbi-21742	335	11	data	datum	NOUN
jbi-21742	335	12	.	.	PUNCT
jbi-21742	336	1	ecography	ecography	PROPN
jbi-21742	336	2	29:129–151	29:129–151	PROPN
jbi-21742	336	3	.	.	PUNCT
jbi-21742	337	1	escobar	escobar	PROPN
jbi-21742	337	2	,	,	PUNCT
jbi-21742	337	3	l.	l.	PROPN
jbi-21742	337	4	e.	e.	PROPN
jbi-21742	337	5	2020	2020	PROPN
jbi-21742	337	6	.	.	PUNCT
jbi-21742	338	1	ecological	ecological	ADJ
jbi-21742	338	2	niche	niche	NOUN
jbi-21742	338	3	modeling	modeling	NOUN
jbi-21742	338	4	:	:	PUNCT
jbi-21742	338	5	an	an	DET
jbi-21742	338	6	introduction	introduction	NOUN
jbi-21742	338	7	for	for	ADP
jbi-21742	338	8	veterinarians	veterinarian	NOUN
jbi-21742	338	9	and	and	CCONJ
jbi-21742	338	10	epidemiologists	epidemiologist	NOUN
jbi-21742	338	11	.	.	PUNCT
jbi-21742	339	1	front	front	ADJ
jbi-21742	339	2	.	.	PUNCT
jbi-21742	340	1	vet	vet	NOUN
jbi-21742	340	2	.	.	PUNCT
jbi-21742	341	1	sci	sci	PROPN
jbi-21742	341	2	.	.	PROPN
jbi-21742	342	1	7	7	X
jbi-21742	342	2	.	.	X
jbi-21742	342	3	ferrier	ferrier	NOUN
jbi-21742	342	4	,	,	PUNCT
jbi-21742	342	5	s.	s.	PROPN
jbi-21742	342	6	,	,	PUNCT
jbi-21742	342	7	m.	m.	NOUN
jbi-21742	342	8	drielsma	drielsma	PROPN
jbi-21742	342	9	,	,	PUNCT
jbi-21742	342	10	g.	g.	PROPN
jbi-21742	342	11	manion	manion	PROPN
jbi-21742	342	12	,	,	PUNCT
jbi-21742	342	13	and	and	CCONJ
jbi-21742	342	14	g.	g.	PROPN
jbi-21742	342	15	watson	watson	PROPN
jbi-21742	342	16	.	.	PUNCT
jbi-21742	343	1	2002	2002	NUM
jbi-21742	343	2	.	.	PUNCT
jbi-21742	344	1	extended	extend	VERB
jbi-21742	344	2	statistical	statistical	ADJ
jbi-21742	344	3	approaches	approach	NOUN
jbi-21742	344	4	to	to	ADP
jbi-21742	344	5	modelling	model	VERB
jbi-21742	344	6	spatial	spatial	ADJ
jbi-21742	344	7	pattern	pattern	NOUN
jbi-21742	344	8	in	in	ADP
jbi-21742	344	9	biodiversity	biodiversity	NOUN
jbi-21742	344	10	in	in	ADP
jbi-21742	344	11	northeast	northeast	ADJ
jbi-21742	344	12	new	new	ADJ
jbi-21742	344	13	south	south	PROPN
jbi-21742	344	14	wales	wales	PROPN
jbi-21742	344	15	.	.	PUNCT
jbi-21742	345	1	ii	ii	PROPN
jbi-21742	345	2	.	.	PUNCT
jbi-21742	345	3	community	community	NOUN
jbi-21742	345	4	-	-	PUNCT
jbi-21742	345	5	level	level	NOUN
jbi-21742	345	6	modelling	modelling	NOUN
jbi-21742	345	7	.	.	PUNCT
jbi-21742	346	1	biodivers	biodiver	NOUN
jbi-21742	346	2	.	.	PUNCT
jbi-21742	347	1	conserv	conserv	NOUN
jbi-21742	347	2	.	.	PUNCT
jbi-21742	348	1	11:2309	11:2309	NUM
jbi-21742	348	2	–	–	PUNCT
jbi-21742	348	3	2338	2338	NUM
jbi-21742	348	4	.	.	PUNCT
jbi-21742	349	1	feng	feng	PROPN
jbi-21742	349	2	,	,	PUNCT
jbi-21742	349	3	x.	x.	NOUN
jbi-21742	349	4	,	,	PUNCT
jbi-21742	349	5	and	and	CCONJ
jbi-21742	349	6	papeş	papeş	NOUN
jbi-21742	349	7	,	,	PUNCT
jbi-21742	349	8	m.	m.	NOUN
jbi-21742	349	9	2017	2017	NUM
jbi-21742	349	10	.	.	PUNCT
jbi-21742	350	1	can	can	AUX
jbi-21742	350	2	incomplete	incomplete	VERB
jbi-21742	350	3	knowledge	knowledge	NOUN
jbi-21742	350	4	of	of	ADP
jbi-21742	350	5	species	specie	NOUN
jbi-21742	350	6	’	'	PUNCT
jbi-21742	350	7	physiology	physiology	NOUN
jbi-21742	350	8	facilitate	facilitate	VERB
jbi-21742	350	9	ecological	ecological	ADJ
jbi-21742	350	10	niche	niche	NOUN
jbi-21742	350	11	modelling	modelling	NOUN
jbi-21742	350	12	?	?	PUNCT
jbi-21742	351	1	a	a	DET
jbi-21742	351	2	case	case	NOUN
jbi-21742	351	3	study	study	NOUN
jbi-21742	351	4	with	with	ADP
jbi-21742	351	5	virtual	virtual	ADJ
jbi-21742	351	6	species	specie	NOUN
jbi-21742	351	7	.	.	PUNCT
jbi-21742	352	1	diversity	diversity	NOUN
jbi-21742	352	2	and	and	CCONJ
jbi-21742	352	3	distributions	distribution	NOUN
jbi-21742	352	4	,	,	PUNCT
jbi-21742	352	5	23	23	NUM
jbi-21742	352	6	:	:	SYM
jbi-21742	352	7	1157	1157	NUM
jbi-21742	352	8	-	-	SYM
jbi-21742	352	9	1168	1168	NUM
jbi-21742	352	10	.	.	PUNCT
jbi-21742	353	1	fick	fick	PROPN
jbi-21742	353	2	,	,	PUNCT
jbi-21742	353	3	s.	s.	PROPN
jbi-21742	353	4	e.	e.	PROPN
jbi-21742	353	5	,	,	PUNCT
jbi-21742	353	6	and	and	CCONJ
jbi-21742	353	7	r.	r.	PROPN
jbi-21742	353	8	j.	j.	PROPN
jbi-21742	353	9	hijmans	hijmans	PROPN
jbi-21742	353	10	.	.	PUNCT
jbi-21742	354	1	2017	2017	NUM
jbi-21742	354	2	.	.	PUNCT
jbi-21742	355	1	worldclim	worldclim	NOUN
jbi-21742	355	2	2	2	NUM
jbi-21742	355	3	:	:	PUNCT
jbi-21742	355	4	new	new	ADJ
jbi-21742	355	5	1	1	NUM
jbi-21742	355	6	-	-	PUNCT
jbi-21742	355	7	km	km	NOUN
jbi-21742	355	8	spatial	spatial	ADJ
jbi-21742	355	9	resolution	resolution	NOUN
jbi-21742	355	10	climate	climate	NOUN
jbi-21742	355	11	surfaces	surface	NOUN
jbi-21742	355	12	for	for	ADP
jbi-21742	355	13	global	global	ADJ
jbi-21742	355	14	land	land	NOUN
jbi-21742	355	15	areas	area	NOUN
jbi-21742	355	16	.	.	PUNCT
jbi-21742	356	1	int	int	NOUN
jbi-21742	356	2	.	.	PUNCT
jbi-21742	357	1	j.	j.	PROPN
jbi-21742	357	2	climatol	climatol	PROPN
jbi-21742	357	3	.	.	PUNCT
jbi-21742	358	1	37:4302–4315	37:4302–4315	X
jbi-21742	358	2	.	.	PUNCT
jbi-21742	358	3	fielding	fielding	NOUN
jbi-21742	358	4	,	,	PUNCT
jbi-21742	358	5	a.	a.	PROPN
jbi-21742	358	6	h.	h.	PROPN
jbi-21742	358	7	,	,	PUNCT
jbi-21742	358	8	and	and	CCONJ
jbi-21742	358	9	j.	j.	PROPN
jbi-21742	358	10	f.	f.	PROPN
jbi-21742	358	11	bell	bell	PROPN
jbi-21742	358	12	.	.	PUNCT
jbi-21742	359	1	1997	1997	NUM
jbi-21742	359	2	.	.	PUNCT
jbi-21742	360	1	a	a	DET
jbi-21742	360	2	review	review	NOUN
jbi-21742	360	3	of	of	ADP
jbi-21742	360	4	methods	method	NOUN
jbi-21742	360	5	for	for	ADP
jbi-21742	360	6	the	the	DET
jbi-21742	360	7	assessment	assessment	NOUN
jbi-21742	360	8	of	of	ADP
jbi-21742	360	9	prediction	prediction	NOUN
jbi-21742	360	10	errors	error	NOUN
jbi-21742	360	11	in	in	ADP
jbi-21742	360	12	conservation	conservation	NOUN
jbi-21742	360	13	presence/	presence/	NUM
jbi-21742	360	14	absence	absence	NOUN
jbi-21742	360	15	models	model	NOUN
jbi-21742	360	16	.	.	PUNCT
jbi-21742	361	1	environ	environ	PROPN
jbi-21742	361	2	.	.	PUNCT
jbi-21742	361	3	conserv	conserv	NOUN
jbi-21742	361	4	.	.	PUNCT
jbi-21742	362	1	24:38–49	24:38–49	NUM
jbi-21742	362	2	.	.	PUNCT
jbi-21742	363	1	flom	flom	PROPN
jbi-21742	363	2	,	,	PUNCT
jbi-21742	363	3	p.	p.	PROPN
jbi-21742	363	4	l.	l.	PROPN
jbi-21742	363	5	,	,	PUNCT
jbi-21742	363	6	and	and	CCONJ
jbi-21742	363	7	d.	d.	PROPN
jbi-21742	363	8	l.	l.	PROPN
jbi-21742	363	9	cassell	cassell	PROPN
jbi-21742	363	10	.	.	PUNCT
jbi-21742	364	1	2007	2007	NUM
jbi-21742	364	2	.	.	PUNCT
jbi-21742	365	1	stopping	stop	VERB
jbi-21742	365	2	stepwise	stepwise	NOUN
jbi-21742	365	3	:	:	PUNCT
jbi-21742	365	4	why	why	SCONJ
jbi-21742	365	5	stepwise	stepwise	NOUN
jbi-21742	365	6	and	and	CCONJ
jbi-21742	365	7	similar	similar	ADJ
jbi-21742	365	8	selection	selection	NOUN
jbi-21742	365	9	methods	method	NOUN
jbi-21742	365	10	are	be	AUX
jbi-21742	365	11	bad	bad	ADJ
jbi-21742	365	12	,	,	PUNCT
jbi-21742	365	13	and	and	CCONJ
jbi-21742	365	14	what	what	PRON
jbi-21742	365	15	you	you	PRON
jbi-21742	365	16	should	should	AUX
jbi-21742	365	17	use	use	VERB
jbi-21742	365	18	.	.	PUNCT
jbi-21742	366	1	p.	p.	NOUN
jbi-21742	366	2	in	in	ADP
jbi-21742	366	3	northeast	northeast	PROPN
jbi-21742	366	4	sas	sas	PROPN
jbi-21742	366	5	users	users	PROPN
jbi-21742	366	6	group	group	PROPN
jbi-21742	366	7	inc	inc	PROPN
jbi-21742	366	8	20th	20th	PROPN
jbi-21742	366	9	annual	annual	ADJ
jbi-21742	366	10	conference	conference	NOUN
jbi-21742	366	11	.	.	PUNCT
jbi-21742	367	1	franklin	franklin	PROPN
jbi-21742	367	2	,	,	PUNCT
jbi-21742	367	3	j.	j.	PROPN
jbi-21742	367	4	2010	2010	NUM
jbi-21742	367	5	.	.	PUNCT
jbi-21742	368	1	moving	move	VERB
jbi-21742	368	2	beyond	beyond	ADP
jbi-21742	368	3	static	static	ADJ
jbi-21742	368	4	species	species	NOUN
jbi-21742	368	5	distribution	distribution	NOUN
jbi-21742	368	6	models	model	NOUN
jbi-21742	368	7	in	in	ADP
jbi-21742	368	8	support	support	NOUN
jbi-21742	368	9	of	of	ADP
jbi-21742	368	10	conservation	conservation	NOUN
jbi-21742	368	11	biogeography	biogeography	NOUN
jbi-21742	368	12	.	.	PUNCT
jbi-21742	369	1	divers	diver	NOUN
jbi-21742	369	2	.	.	PUNCT
jbi-21742	370	1	distrib	distrib	PROPN
jbi-21742	370	2	.	.	PUNCT
jbi-21742	371	1	16:321–330	16:321–330	NUM
jbi-21742	371	2	.	.	PUNCT
jbi-21742	372	1	franklin	franklin	PROPN
jbi-21742	372	2	,	,	PUNCT
jbi-21742	372	3	j.	j.	PROPN
jbi-21742	372	4	2013	2013	NUM
jbi-21742	372	5	.	.	PUNCT
jbi-21742	373	1	species	species	NOUN
jbi-21742	373	2	distribution	distribution	NOUN
jbi-21742	373	3	models	model	NOUN
jbi-21742	373	4	in	in	ADP
jbi-21742	373	5	conservation	conservation	NOUN
jbi-21742	373	6	biogeography	biogeography	NOUN
jbi-21742	373	7	:	:	PUNCT
jbi-21742	373	8	developments	development	NOUN
jbi-21742	373	9	and	and	CCONJ
jbi-21742	373	10	challenges	challenge	NOUN
jbi-21742	373	11	.	.	PUNCT
jbi-21742	374	1	divers	diver	NOUN
jbi-21742	374	2	.	.	PUNCT
jbi-21742	375	1	distrib	distrib	PROPN
jbi-21742	375	2	.	.	PUNCT
jbi-21742	376	1	19:1217–1223	19:1217–1223	PROPN
jbi-21742	376	2	.	.	PUNCT
jbi-21742	377	1	ghanbarian	ghanbarian	PROPN
jbi-21742	377	2	,	,	PUNCT
jbi-21742	377	3	g.	g.	PROPN
jbi-21742	377	4	,	,	PUNCT
jbi-21742	377	5	m.	m.	PROPN
jbi-21742	377	6	r.	r.	PROPN
jbi-21742	377	7	raoufat	raoufat	PROPN
jbi-21742	377	8	,	,	PUNCT
jbi-21742	377	9	h.	h.	PROPN
jbi-21742	377	10	r.	r.	PROPN
jbi-21742	377	11	pourghasemi	pourghasemi	PROPN
jbi-21742	377	12	,	,	PUNCT
jbi-21742	377	13	and	and	CCONJ
jbi-21742	377	14	r.	r.	PROPN
jbi-21742	377	15	safaeian	safaeian	PROPN
jbi-21742	377	16	.	.	PUNCT
jbi-21742	378	1	2019	2019	NUM
jbi-21742	378	2	.	.	X
jbi-21742	379	1	9	9	NUM
jbi-21742	379	2	habitat	habitat	NOUN
jbi-21742	379	3	suitability	suitability	NOUN
jbi-21742	379	4	mapping	mapping	NOUN
jbi-21742	379	5	of	of	ADP
jbi-21742	379	6	artemisia	artemisia	PROPN
jbi-21742	379	7	aucheri	aucheri	PROPN
jbi-21742	379	8	boiss	boiss	PROPN
jbi-21742	379	9	based	base	VERB
jbi-21742	379	10	on	on	ADP
jbi-21742	379	11	the	the	DET
jbi-21742	379	12	glm	glm	PROPN
jbi-21742	379	13	model	model	NOUN
jbi-21742	379	14	in	in	ADP
jbi-21742	379	15	r.	r.	PROPN
jbi-21742	379	16	pp	pp	PROPN
jbi-21742	379	17	.	.	PUNCT
jbi-21742	380	1	213–227	213–227	NUM
jbi-21742	380	2	in	in	ADP
jbi-21742	380	3	h.	h.	PROPN
jbi-21742	380	4	r.	r.	PROPN
jbi-21742	380	5	pourghasemi	pourghasemi	PROPN
jbi-21742	380	6	and	and	CCONJ
jbi-21742	380	7	c.	c.	PROPN
jbi-21742	380	8	gokceoglu	gokceoglu	PROPN
jbi-21742	380	9	,	,	PUNCT
jbi-21742	380	10	eds	ed	NOUN
jbi-21742	380	11	.	.	PUNCT
jbi-21742	381	1	spatial	spatial	ADJ
jbi-21742	381	2	modeling	modeling	NOUN
jbi-21742	381	3	in	in	ADP
jbi-21742	381	4	gis	gis	PROPN
jbi-21742	381	5	and	and	CCONJ
jbi-21742	381	6	r	r	NOUN
jbi-21742	381	7	for	for	ADP
jbi-21742	381	8	earth	earth	NOUN
jbi-21742	381	9	and	and	CCONJ
jbi-21742	381	10	environmental	environmental	ADJ
jbi-21742	381	11	sciences	science	NOUN
jbi-21742	381	12	.	.	PUNCT
jbi-21742	382	1	elsevier	elsevier	NOUN
jbi-21742	382	2	.	.	PUNCT
jbi-21742	383	1	guisan	guisan	PROPN
jbi-21742	383	2	,	,	PUNCT
jbi-21742	383	3	a.	a.	NOUN
jbi-21742	383	4	,	,	PUNCT
jbi-21742	383	5	t.	t.	PROPN
jbi-21742	383	6	c.	c.	PROPN
jbi-21742	383	7	edwards	edwards	PROPN
jbi-21742	383	8	,	,	PUNCT
jbi-21742	383	9	and	and	CCONJ
jbi-21742	383	10	t.	t.	PROPN
jbi-21742	383	11	hastie	hastie	PROPN
jbi-21742	383	12	.	.	PUNCT
jbi-21742	384	1	2002	2002	NUM
jbi-21742	384	2	.	.	PUNCT
jbi-21742	385	1	generalized	generalize	VERB
jbi-21742	385	2	linear	linear	NOUN
jbi-21742	385	3	and	and	CCONJ
jbi-21742	385	4	generalized	generalized	ADJ
jbi-21742	385	5	additive	additive	ADJ
jbi-21742	385	6	models	model	NOUN
jbi-21742	385	7	in	in	ADP
jbi-21742	385	8	studies	study	NOUN
jbi-21742	385	9	of	of	ADP
jbi-21742	385	10	species	species	NOUN
jbi-21742	385	11	distributions	distribution	NOUN
jbi-21742	385	12	:	:	PUNCT
jbi-21742	385	13	setting	set	VERB
jbi-21742	385	14	the	the	DET
jbi-21742	385	15	scene	scene	NOUN
jbi-21742	385	16	.	.	PUNCT
jbi-21742	386	1	ecol	ecol	PROPN
jbi-21742	386	2	.	.	PUNCT
jbi-21742	387	1	model	model	NOUN
jbi-21742	387	2	.	.	PUNCT
jbi-21742	388	1	157:89–100	157:89–100	NUM
jbi-21742	388	2	.	.	PUNCT
jbi-21742	389	1	guisan	guisan	PROPN
jbi-21742	389	2	,	,	PUNCT
jbi-21742	389	3	a.	a.	NOUN
jbi-21742	389	4	,	,	PUNCT
jbi-21742	389	5	and	and	CCONJ
jbi-21742	389	6	n.	n.	PROPN
jbi-21742	389	7	e.	e.	PROPN
jbi-21742	389	8	zimmermann	zimmermann	PROPN
jbi-21742	389	9	.	.	PUNCT
jbi-21742	390	1	2000	2000	NUM
jbi-21742	390	2	.	.	PUNCT
jbi-21742	391	1	predictive	predictive	ADJ
jbi-21742	391	2	habitat	habitat	NOUN
jbi-21742	391	3	distribution	distribution	NOUN
jbi-21742	391	4	models	model	NOUN
jbi-21742	391	5	in	in	ADP
jbi-21742	391	6	ecology	ecology	NOUN
jbi-21742	391	7	.	.	PUNCT
jbi-21742	392	1	ecol	ecol	PROPN
jbi-21742	392	2	.	.	PUNCT
jbi-21742	393	1	model	model	NOUN
jbi-21742	393	2	.	.	PUNCT
jbi-21742	394	1	135:147–186	135:147–186	NUM
jbi-21742	394	2	.	.	PUNCT
jbi-21742	395	1	hannah	hannah	PROPN
jbi-21742	395	2	,	,	PUNCT
jbi-21742	395	3	l.	l.	PROPN
jbi-21742	395	4	,	,	PUNCT
jbi-21742	395	5	p.	p.	PROPN
jbi-21742	395	6	r.	r.	PROPN
jbi-21742	395	7	roehrdanz	roehrdanz	PROPN
jbi-21742	395	8	,	,	PUNCT
jbi-21742	395	9	p.	p.	NOUN
jbi-21742	395	10	a.	a.	NOUN
jbi-21742	395	11	marquet	marquet	PROPN
jbi-21742	395	12	,	,	PUNCT
jbi-21742	395	13	b.	b.	PROPN
jbi-21742	395	14	j.	j.	PROPN
jbi-21742	395	15	enquist	enquist	PROPN
jbi-21742	395	16	,	,	PUNCT
jbi-21742	395	17	g.	g.	PROPN
jbi-21742	395	18	midgley	midgley	PROPN
jbi-21742	395	19	,	,	PUNCT
jbi-21742	395	20	w.	w.	PROPN
jbi-21742	395	21	foden	foden	PROPN
jbi-21742	395	22	,	,	PUNCT
jbi-21742	395	23	j.	j.	PROPN
jbi-21742	395	24	c.	c.	PROPN
jbi-21742	395	25	lovett	lovett	PROPN
jbi-21742	395	26	,	,	PUNCT
jbi-21742	395	27	r.	r.	PROPN
jbi-21742	395	28	t.	t.	PROPN
jbi-21742	395	29	corlett	corlett	PROPN
jbi-21742	395	30	,	,	PUNCT
jbi-21742	395	31	d.	d.	PROPN
jbi-21742	395	32	corcoran	corcoran	PROPN
jbi-21742	395	33	,	,	PUNCT
jbi-21742	395	34	s.	s.	PROPN
jbi-21742	395	35	h.	h.	PROPN
jbi-21742	395	36	m.	m.	PROPN
jbi-21742	395	37	butchart	butchart	PROPN
jbi-21742	395	38	,	,	PUNCT
jbi-21742	395	39	b.	b.	PROPN
jbi-21742	395	40	boyle	boyle	PROPN
jbi-21742	395	41	,	,	PUNCT
jbi-21742	395	42	x.	x.	PROPN
jbi-21742	395	43	feng	feng	PROPN
jbi-21742	395	44	,	,	PUNCT
jbi-21742	395	45	b.	b.	PROPN
jbi-21742	395	46	maitner	maitner	PROPN
jbi-21742	395	47	,	,	PUNCT
jbi-21742	395	48	j.	j.	PROPN
jbi-21742	395	49	fajardo	fajardo	PROPN
jbi-21742	395	50	,	,	PUNCT
jbi-21742	395	51	b.	b.	PROPN
jbi-21742	395	52	j.	j.	PROPN
jbi-21742	395	53	mcgill	mcgill	PROPN
jbi-21742	395	54	,	,	PUNCT
jbi-21742	395	55	c.	c.	PROPN
jbi-21742	395	56	merow	merow	PROPN
jbi-21742	395	57	,	,	PUNCT
jbi-21742	395	58	n.	n.	PROPN
jbi-21742	395	59	morueta	morueta	PROPN
jbi-21742	395	60	-	-	PUNCT
jbi-21742	395	61	holme	holme	PROPN
jbi-21742	395	62	,	,	PUNCT
jbi-21742	395	63	e.	e.	PROPN
jbi-21742	395	64	a.	a.	PROPN
jbi-21742	395	65	newman	newman	PROPN
jbi-21742	395	66	,	,	PUNCT
jbi-21742	395	67	d.	d.	PROPN
jbi-21742	395	68	s.	s.	PROPN
jbi-21742	395	69	park	park	PROPN
jbi-21742	395	70	,	,	PUNCT
jbi-21742	395	71	n.	n.	PROPN
jbi-21742	395	72	raes	raes	PROPN
jbi-21742	395	73	,	,	PUNCT
jbi-21742	395	74	and	and	CCONJ
jbi-21742	395	75	j.-c	j.-c	PROPN
jbi-21742	395	76	.	.	PUNCT
jbi-21742	396	1	svenning	svenne	VERB
jbi-21742	396	2	.	.	PUNCT
jbi-21742	397	1	2020	2020	NUM
jbi-21742	397	2	.	.	PUNCT
jbi-21742	398	1	30	30	NUM
jbi-21742	398	2	%	%	NOUN
jbi-21742	398	3	land	land	NOUN
jbi-21742	398	4	conservation	conservation	NOUN
jbi-21742	398	5	and	and	CCONJ
jbi-21742	398	6	climate	climate	NOUN
jbi-21742	398	7	action	action	NOUN
jbi-21742	398	8	reduces	reduce	VERB
jbi-21742	398	9	tropical	tropical	ADJ
jbi-21742	398	10	extinction	extinction	NOUN
jbi-21742	398	11	risk	risk	NOUN
jbi-21742	398	12	by	by	ADP
jbi-21742	398	13	more	more	ADJ
jbi-21742	398	14	than	than	ADP
jbi-21742	398	15	50	50	NUM
jbi-21742	398	16	%	%	NOUN
jbi-21742	398	17	.	.	PUNCT
jbi-21742	399	1	ecography	ecography	NOUN
jbi-21742	399	2	43:943–953	43:943–953	PROPN
jbi-21742	399	3	.	.	PUNCT
jbi-21742	400	1	hao	hao	PROPN
jbi-21742	400	2	,	,	PUNCT
jbi-21742	400	3	t.	t.	PROPN
jbi-21742	400	4	,	,	PUNCT
jbi-21742	400	5	j.	j.	PROPN
jbi-21742	400	6	elith	elith	PROPN
jbi-21742	400	7	,	,	PUNCT
jbi-21742	400	8	j.	j.	PROPN
jbi-21742	400	9	j.	j.	PROPN
jbi-21742	400	10	lahoz	lahoz	PROPN
jbi-21742	400	11	-	-	PUNCT
jbi-21742	400	12	monfort	monfort	NOUN
jbi-21742	400	13	,	,	PUNCT
jbi-21742	400	14	and	and	CCONJ
jbi-21742	400	15	g.	g.	PROPN
jbi-21742	400	16	guillera	guillera	PROPN
jbi-21742	400	17	-	-	PUNCT
jbi-21742	400	18	arroita	arroita	PROPN
jbi-21742	400	19	.	.	PUNCT
jbi-21742	401	1	2020	2020	NUM
jbi-21742	401	2	.	.	PUNCT
jbi-21742	402	1	testing	test	VERB
jbi-21742	402	2	whether	whether	SCONJ
jbi-21742	402	3	ensemble	ensemble	ADJ
jbi-21742	402	4	modelling	modelling	NOUN
jbi-21742	402	5	is	be	AUX
jbi-21742	402	6	advantageous	advantageous	ADJ
jbi-21742	402	7	for	for	ADP
jbi-21742	402	8	maximising	maximise	VERB
jbi-21742	402	9	predictive	predictive	ADJ
jbi-21742	402	10	performance	performance	NOUN
jbi-21742	402	11	of	of	ADP
jbi-21742	402	12	species	specie	NOUN
jbi-21742	402	13	distribution	distribution	NOUN
jbi-21742	402	14	models	model	NOUN
jbi-21742	402	15	.	.	PUNCT
jbi-21742	403	1	ecography	ecography	NOUN
jbi-21742	403	2	43:549–558	43:549–558	PROPN
jbi-21742	403	3	.	.	PUNCT
jbi-21742	404	1	arias	arias	PROPN
jbi-21742	404	2	-	-	PUNCT
jbi-21742	404	3	giraldo	giraldo	PROPN
jbi-21742	404	4	et	et	PROPN
jbi-21742	404	5	al	al	PROPN
jbi-21742	404	6	.	.	PROPN
jbi-21742	404	7	–	–	PUNCT
jbi-21742	404	8	enmpa	enmpa	NOUN
jbi-21742	404	9	40	40	NUM
jbi-21742	404	10	harrell	harrell	PROPN
jbi-21742	404	11	,	,	PUNCT
jbi-21742	404	12	f.	f.	PROPN
jbi-21742	404	13	e.	e.	PROPN
jbi-21742	404	14	2001	2001	PROPN
jbi-21742	404	15	.	.	PUNCT
jbi-21742	405	1	regression	regression	NOUN
jbi-21742	405	2	modeling	modeling	NOUN
jbi-21742	405	3	strategies	strategy	NOUN
jbi-21742	405	4	:	:	PUNCT
jbi-21742	405	5	with	with	ADP
jbi-21742	405	6	applications	application	NOUN
jbi-21742	405	7	to	to	ADP
jbi-21742	405	8	linear	linear	PROPN
jbi-21742	405	9	models	model	NOUN
jbi-21742	405	10	,	,	PUNCT
jbi-21742	405	11	logistic	logistic	ADJ
jbi-21742	405	12	regression	regression	NOUN
jbi-21742	405	13	,	,	PUNCT
jbi-21742	405	14	and	and	CCONJ
jbi-21742	405	15	survival	survival	NOUN
jbi-21742	405	16	analysis	analysis	NOUN
jbi-21742	405	17	.	.	PUNCT
jbi-21742	406	1	springer	springer	NOUN
jbi-21742	406	2	.	.	PUNCT
jbi-21742	407	1	hastie	hastie	PROPN
jbi-21742	407	2	,	,	PUNCT
jbi-21742	407	3	t.	t.	PROPN
jbi-21742	407	4	,	,	PUNCT
jbi-21742	407	5	r.	r.	PROPN
jbi-21742	407	6	tibshirani	tibshirani	PROPN
jbi-21742	407	7	,	,	PUNCT
jbi-21742	407	8	and	and	CCONJ
jbi-21742	407	9	j.	j.	PROPN
jbi-21742	407	10	friedman	friedman	PROPN
jbi-21742	407	11	.	.	PROPN
jbi-21742	407	12	2009	2009	NUM
jbi-21742	407	13	.	.	PUNCT
jbi-21742	408	1	model	model	NOUN
jbi-21742	408	2	assessment	assessment	NOUN
jbi-21742	408	3	and	and	CCONJ
jbi-21742	408	4	selection	selection	NOUN
jbi-21742	408	5	.	.	PUNCT
jbi-21742	409	1	pp	pp	X
jbi-21742	409	2	.	.	PUNCT
jbi-21742	410	1	219–259	219–259	NUM
jbi-21742	410	2	in	in	ADP
jbi-21742	410	3	the	the	DET
jbi-21742	410	4	elements	element	NOUN
jbi-21742	410	5	of	of	ADP
jbi-21742	410	6	statistical	statistical	ADJ
jbi-21742	410	7	learning	learning	NOUN
jbi-21742	410	8	:	:	PUNCT
jbi-21742	410	9	data	datum	NOUN
jbi-21742	410	10	mining	mining	NOUN
jbi-21742	410	11	,	,	PUNCT
jbi-21742	410	12	inference	inference	NOUN
jbi-21742	410	13	,	,	PUNCT
jbi-21742	410	14	and	and	CCONJ
jbi-21742	410	15	prediction	prediction	NOUN
jbi-21742	410	16	.	.	PUNCT
jbi-21742	411	1	springer	springer	PROPN
jbi-21742	411	2	new	new	PROPN
jbi-21742	411	3	york	york	PROPN
jbi-21742	411	4	,	,	PUNCT
jbi-21742	411	5	new	new	PROPN
jbi-21742	411	6	york	york	PROPN
jbi-21742	411	7	,	,	PUNCT
jbi-21742	411	8	ny	ny	PROPN
jbi-21742	411	9	.	.	PUNCT
jbi-21742	412	1	jiménez	jiménez	PROPN
jbi-21742	412	2	-	-	PUNCT
jbi-21742	412	3	valverde	valverde	PROPN
jbi-21742	412	4	,	,	PUNCT
jbi-21742	412	5	a.	a.	PROPN
jbi-21742	412	6	,	,	PUNCT
jbi-21742	412	7	a.	a.	PROPN
jbi-21742	412	8	t.	t.	PROPN
jbi-21742	412	9	peterson	peterson	PROPN
jbi-21742	412	10	,	,	PUNCT
jbi-21742	412	11	j.	j.	PROPN
jbi-21742	412	12	soberón	soberón	PROPN
jbi-21742	412	13	,	,	PUNCT
jbi-21742	412	14	j.	j.	PROPN
jbi-21742	412	15	m.	m.	PROPN
jbi-21742	412	16	overton	overton	PROPN
jbi-21742	412	17	,	,	PUNCT
jbi-21742	412	18	p.	p.	NOUN
jbi-21742	412	19	aragón	aragón	PROPN
jbi-21742	412	20	,	,	PUNCT
jbi-21742	412	21	and	and	CCONJ
jbi-21742	412	22	j.	j.	PROPN
jbi-21742	412	23	m.	m.	PROPN
jbi-21742	412	24	lobo	lobo	PROPN
jbi-21742	412	25	.	.	PUNCT
jbi-21742	413	1	2011	2011	NUM
jbi-21742	413	2	.	.	PUNCT
jbi-21742	414	1	use	use	NOUN
jbi-21742	414	2	of	of	ADP
jbi-21742	414	3	niche	niche	NOUN
jbi-21742	414	4	models	model	NOUN
jbi-21742	414	5	in	in	ADP
jbi-21742	414	6	invasive	invasive	ADJ
jbi-21742	414	7	species	specie	NOUN
jbi-21742	414	8	risk	risk	NOUN
jbi-21742	414	9	assessments	assessment	NOUN
jbi-21742	414	10	.	.	PUNCT
jbi-21742	415	1	biol	biol	PROPN
jbi-21742	415	2	.	.	PUNCT
jbi-21742	416	1	invasions	invasion	NOUN
jbi-21742	416	2	13:2785	13:2785	NUM
jbi-21742	416	3	–	–	PUNCT
jbi-21742	416	4	2797	2797	NUM
jbi-21742	416	5	.	.	PUNCT
jbi-21742	417	1	liu	liu	PROPN
jbi-21742	417	2	,	,	PUNCT
jbi-21742	417	3	c.	c.	PROPN
jbi-21742	417	4	,	,	PUNCT
jbi-21742	417	5	m.	m.	NOUN
jbi-21742	417	6	white	white	PROPN
jbi-21742	417	7	,	,	PUNCT
jbi-21742	417	8	and	and	CCONJ
jbi-21742	417	9	g.	g.	PROPN
jbi-21742	417	10	newell	newell	PROPN
jbi-21742	417	11	.	.	PUNCT
jbi-21742	418	1	2011	2011	NUM
jbi-21742	418	2	.	.	PUNCT
jbi-21742	419	1	measuring	measure	VERB
jbi-21742	419	2	and	and	CCONJ
jbi-21742	419	3	comparing	compare	VERB
jbi-21742	419	4	the	the	DET
jbi-21742	419	5	accuracy	accuracy	NOUN
jbi-21742	419	6	of	of	ADP
jbi-21742	419	7	species	specie	NOUN
jbi-21742	419	8	distribution	distribution	NOUN
jbi-21742	419	9	models	model	NOUN
jbi-21742	419	10	with	with	ADP
jbi-21742	419	11	presence	presence	NOUN
jbi-21742	419	12	-	-	PUNCT
jbi-21742	419	13	absence	absence	NOUN
jbi-21742	419	14	data	datum	NOUN
jbi-21742	419	15	.	.	PUNCT
jbi-21742	420	1	ecography	ecography	NOUN
jbi-21742	420	2	34:232–243	34:232–243	PROPN
jbi-21742	420	3	.	.	PUNCT
jbi-21742	421	1	lobo	lobo	PROPN
jbi-21742	421	2	,	,	PUNCT
jbi-21742	421	3	j.	j.	PROPN
jbi-21742	421	4	m.	m.	PROPN
jbi-21742	421	5	,	,	PUNCT
jbi-21742	421	6	a.	a.	PROPN
jbi-21742	421	7	jiménez	jiménez	PROPN
jbi-21742	421	8	-	-	PUNCT
jbi-21742	421	9	valverde	valverde	PROPN
jbi-21742	421	10	,	,	PUNCT
jbi-21742	421	11	and	and	CCONJ
jbi-21742	421	12	r.	r.	PROPN
jbi-21742	421	13	real	real	PROPN
jbi-21742	421	14	.	.	PUNCT
jbi-21742	422	1	2008	2008	NUM
jbi-21742	422	2	.	.	PUNCT
jbi-21742	423	1	auc	auc	NOUN
jbi-21742	423	2	:	:	PUNCT
jbi-21742	423	3	a	a	DET
jbi-21742	423	4	misleading	misleading	ADJ
jbi-21742	423	5	measure	measure	NOUN
jbi-21742	423	6	of	of	ADP
jbi-21742	423	7	the	the	DET
jbi-21742	423	8	performance	performance	NOUN
jbi-21742	423	9	of	of	ADP
jbi-21742	423	10	predictive	predictive	ADJ
jbi-21742	423	11	distribution	distribution	NOUN
jbi-21742	423	12	models	model	NOUN
jbi-21742	423	13	.	.	PUNCT
jbi-21742	424	1	glob	glob	NOUN
jbi-21742	424	2	.	.	PUNCT
jbi-21742	425	1	ecol	ecol	PROPN
jbi-21742	425	2	.	.	PUNCT
jbi-21742	426	1	biogeogr	biogeogr	NOUN
jbi-21742	426	2	.	.	PUNCT
jbi-21742	427	1	17:145–151	17:145–151	NUM
jbi-21742	427	2	.	.	PUNCT
jbi-21742	428	1	mackenzie	mackenzie	PROPN
jbi-21742	428	2	,	,	PUNCT
jbi-21742	428	3	d.	d.	PROPN
jbi-21742	428	4	i.	i.	PROPN
jbi-21742	428	5	2005	2005	NUM
jbi-21742	428	6	.	.	PUNCT
jbi-21742	428	7	was	be	AUX
jbi-21742	428	8	it	it	PRON
jbi-21742	428	9	there	there	ADV
jbi-21742	428	10	?	?	PUNCT
jbi-21742	429	1	dealing	deal	VERB
jbi-21742	429	2	with	with	ADP
jbi-21742	429	3	imperfect	imperfect	ADJ
jbi-21742	429	4	detection	detection	NOUN
jbi-21742	429	5	for	for	ADP
jbi-21742	429	6	species	species	NOUN
jbi-21742	429	7	presence	presence	NOUN
jbi-21742	429	8	/	/	SYM
jbi-21742	429	9	absence	absence	NOUN
jbi-21742	429	10	data	datum	NOUN
jbi-21742	429	11	.	.	PUNCT
jbi-21742	430	1	australian	australian	PROPN
jbi-21742	430	2	&	&	CCONJ
jbi-21742	430	3	new	new	PROPN
jbi-21742	430	4	zealand	zealand	PROPN
jbi-21742	430	5	journal	journal	PROPN
jbi-21742	430	6	of	of	ADP
jbi-21742	430	7	statistics	statistic	NOUN
jbi-21742	430	8	.	.	PUNCT
jbi-21742	431	1	47(1	47(1	NUM
jbi-21742	431	2	)	)	PUNCT
jbi-21742	431	3	,	,	PUNCT
jbi-21742	431	4	65	65	NUM
jbi-21742	431	5	-	-	SYM
jbi-21742	431	6	74	74	NUM
jbi-21742	431	7	.	.	PUNCT
jbi-21742	432	1	manel	manel	NOUN
jbi-21742	432	2	,	,	PUNCT
jbi-21742	432	3	s.	s.	PROPN
jbi-21742	432	4	,	,	PUNCT
jbi-21742	432	5	h.	h.	PROPN
jbi-21742	432	6	c.	c.	PROPN
jbi-21742	432	7	williams	williams	PROPN
jbi-21742	432	8	,	,	PUNCT
jbi-21742	432	9	and	and	CCONJ
jbi-21742	432	10	s.	s.	PROPN
jbi-21742	432	11	j.	j.	PROPN
jbi-21742	432	12	ormerod	ormerod	PROPN
jbi-21742	432	13	.	.	PUNCT
jbi-21742	432	14	2001	2001	NUM
jbi-21742	432	15	.	.	PUNCT
jbi-21742	433	1	evaluating	evaluate	VERB
jbi-21742	433	2	presence	presence	NOUN
jbi-21742	433	3	-	-	PUNCT
jbi-21742	433	4	absence	absence	NOUN
jbi-21742	433	5	models	model	NOUN
jbi-21742	433	6	in	in	ADP
jbi-21742	433	7	ecology	ecology	NOUN
jbi-21742	433	8	:	:	PUNCT
jbi-21742	433	9	the	the	DET
jbi-21742	433	10	need	need	NOUN
jbi-21742	433	11	to	to	PART
jbi-21742	433	12	account	account	VERB
jbi-21742	433	13	for	for	ADP
jbi-21742	433	14	prevalence	prevalence	NOUN
jbi-21742	433	15	.	.	PUNCT
jbi-21742	434	1	j.	j.	PROPN
jbi-21742	434	2	appl	appl	PROPN
jbi-21742	434	3	.	.	PUNCT
jbi-21742	435	1	ecol	ecol	PROPN
jbi-21742	435	2	.	.	PUNCT
jbi-21742	436	1	38:921–931	38:921–931	PROPN
jbi-21742	436	2	.	.	PUNCT
jbi-21742	437	1	merow	merow	PROPN
jbi-21742	437	2	,	,	PUNCT
jbi-21742	437	3	c.	c.	PROPN
jbi-21742	437	4	,	,	PUNCT
jbi-21742	437	5	m.	m.	PROPN
jbi-21742	437	6	j.	j.	PROPN
jbi-21742	437	7	smith	smith	PROPN
jbi-21742	437	8	,	,	PUNCT
jbi-21742	437	9	t.	t.	PROPN
jbi-21742	437	10	c.	c.	PROPN
jbi-21742	437	11	edwards	edwards	PROPN
jbi-21742	437	12	jr	jr	PROPN
jbi-21742	437	13	,	,	PUNCT
jbi-21742	437	14	a.	a.	PROPN
jbi-21742	437	15	guisan	guisan	PROPN
jbi-21742	437	16	,	,	PUNCT
jbi-21742	437	17	s.	s.	PROPN
jbi-21742	437	18	m.	m.	PROPN
jbi-21742	437	19	mcmahon	mcmahon	PROPN
jbi-21742	437	20	,	,	PUNCT
jbi-21742	437	21	s.	s.	PROPN
jbi-21742	437	22	normand	normand	PROPN
jbi-21742	437	23	,	,	PUNCT
jbi-21742	437	24	w.	w.	PROPN
jbi-21742	437	25	thuiller	thuiller	PROPN
jbi-21742	437	26	,	,	PUNCT
jbi-21742	437	27	r.	r.	PROPN
jbi-21742	437	28	o.	o.	PROPN
jbi-21742	437	29	wüest	wüest	PROPN
jbi-21742	437	30	,	,	PUNCT
jbi-21742	437	31	n.	n.	PROPN
jbi-21742	437	32	e.	e.	PROPN
jbi-21742	437	33	zimmermann	zimmermann	PROPN
jbi-21742	437	34	,	,	PUNCT
jbi-21742	437	35	and	and	CCONJ
jbi-21742	437	36	j.	j.	PROPN
jbi-21742	437	37	elith	elith	PROPN
jbi-21742	437	38	.	.	PUNCT
jbi-21742	438	1	2014	2014	NUM
jbi-21742	438	2	.	.	PUNCT
jbi-21742	439	1	what	what	PRON
jbi-21742	439	2	do	do	AUX
jbi-21742	439	3	we	we	PRON
jbi-21742	439	4	gain	gain	VERB
jbi-21742	439	5	from	from	ADP
jbi-21742	439	6	simplicity	simplicity	NOUN
jbi-21742	439	7	versus	versus	ADP
jbi-21742	439	8	complexity	complexity	NOUN
jbi-21742	439	9	in	in	ADP
jbi-21742	439	10	species	specie	NOUN
jbi-21742	439	11	distribution	distribution	NOUN
jbi-21742	439	12	models	model	NOUN
jbi-21742	439	13	?	?	PUNCT
jbi-21742	440	1	ecography	ecography	NOUN
jbi-21742	440	2	37:1267–1281	37:1267–1281	NUM
jbi-21742	440	3	.	.	PUNCT
jbi-21742	441	1	murray	murray	PROPN
jbi-21742	441	2	,	,	PUNCT
jbi-21742	441	3	k.	k.	PROPN
jbi-21742	441	4	,	,	PUNCT
jbi-21742	441	5	and	and	CCONJ
jbi-21742	441	6	m.	m.	NOUN
jbi-21742	441	7	m.	m.	PROPN
jbi-21742	441	8	conner	conner	PROPN
jbi-21742	441	9	.	.	PUNCT
jbi-21742	442	1	2009	2009	NUM
jbi-21742	442	2	.	.	PUNCT
jbi-21742	443	1	methods	method	NOUN
jbi-21742	443	2	to	to	PART
jbi-21742	443	3	quantify	quantify	VERB
jbi-21742	443	4	variable	variable	ADJ
jbi-21742	443	5	importance	importance	NOUN
jbi-21742	443	6	:	:	PUNCT
jbi-21742	443	7	implications	implication	NOUN
jbi-21742	443	8	for	for	ADP
jbi-21742	443	9	the	the	DET
jbi-21742	443	10	analysis	analysis	NOUN
jbi-21742	443	11	of	of	ADP
jbi-21742	443	12	noisy	noisy	ADJ
jbi-21742	443	13	ecological	ecological	ADJ
jbi-21742	443	14	data	datum	NOUN
jbi-21742	443	15	.	.	PUNCT
jbi-21742	444	1	ecology	ecology	NOUN
jbi-21742	444	2	90:348–355	90:348–355	PROPN
jbi-21742	444	3	.	.	PUNCT
jbi-21742	445	1	muscarella	muscarella	PROPN
jbi-21742	445	2	,	,	PUNCT
jbi-21742	445	3	r.	r.	PROPN
jbi-21742	445	4	,	,	PUNCT
jbi-21742	445	5	p.	p.	PROPN
jbi-21742	445	6	j.	j.	PROPN
jbi-21742	445	7	galante	galante	PROPN
jbi-21742	445	8	,	,	PUNCT
jbi-21742	445	9	m.	m.	NOUN
jbi-21742	445	10	soley	soley	PROPN
jbi-21742	445	11	-	-	PUNCT
jbi-21742	445	12	guardia	guardia	PROPN
jbi-21742	445	13	,	,	PUNCT
jbi-21742	445	14	r.	r.	PROPN
jbi-21742	445	15	a.	a.	PROPN
jbi-21742	445	16	boria	boria	PROPN
jbi-21742	445	17	,	,	PUNCT
jbi-21742	445	18	j.	j.	PROPN
jbi-21742	445	19	m.	m.	PROPN
jbi-21742	445	20	kass	kass	PROPN
jbi-21742	445	21	,	,	PUNCT
jbi-21742	445	22	m.	m.	NOUN
jbi-21742	445	23	uriarte	uriarte	PROPN
jbi-21742	445	24	,	,	PUNCT
jbi-21742	445	25	and	and	CCONJ
jbi-21742	445	26	r.	r.	PROPN
jbi-21742	445	27	p.	p.	PROPN
jbi-21742	445	28	anderson	anderson	PROPN
jbi-21742	445	29	.	.	PUNCT
jbi-21742	446	1	2014	2014	NUM
jbi-21742	446	2	.	.	PUNCT
jbi-21742	447	1	enmeval	enmeval	NOUN
jbi-21742	447	2	:	:	PUNCT
jbi-21742	447	3	an	an	DET
jbi-21742	447	4	r	r	NOUN
jbi-21742	447	5	package	package	NOUN
jbi-21742	447	6	for	for	ADP
jbi-21742	447	7	conducting	conduct	VERB
jbi-21742	447	8	spatially	spatially	ADV
jbi-21742	447	9	independent	independent	ADJ
jbi-21742	447	10	evaluations	evaluation	NOUN
jbi-21742	447	11	and	and	CCONJ
jbi-21742	447	12	estimating	estimate	VERB
jbi-21742	447	13	optimal	optimal	ADJ
jbi-21742	447	14	model	model	NOUN
jbi-21742	447	15	complexity	complexity	NOUN
jbi-21742	447	16	for	for	ADP
jbi-21742	447	17	maxent	maxent	ADJ
jbi-21742	447	18	ecological	ecological	ADJ
jbi-21742	447	19	niche	niche	NOUN
jbi-21742	447	20	models	model	NOUN
jbi-21742	447	21	.	.	PUNCT
jbi-21742	448	1	methods	method	NOUN
jbi-21742	448	2	ecol	ecol	PRON
jbi-21742	448	3	.	.	PUNCT
jbi-21742	449	1	evol	evol	NOUN
jbi-21742	449	2	.	.	PUNCT
jbi-21742	450	1	5:1198–1205	5:1198–1205	X
jbi-21742	450	2	.	.	PUNCT
jbi-21742	451	1	oksanen	oksanen	PROPN
jbi-21742	451	2	,	,	PUNCT
jbi-21742	451	3	j.	j.	PROPN
jbi-21742	451	4	,	,	PUNCT
jbi-21742	451	5	and	and	CCONJ
jbi-21742	451	6	p.	p.	PROPN
jbi-21742	451	7	r.	r.	PROPN
jbi-21742	451	8	minchin	minchin	PROPN
jbi-21742	451	9	.	.	PUNCT
jbi-21742	452	1	2002	2002	NUM
jbi-21742	452	2	.	.	PUNCT
jbi-21742	453	1	continuum	continuum	ADJ
jbi-21742	453	2	theory	theory	NOUN
jbi-21742	453	3	revisited	revisit	VERB
jbi-21742	453	4	:	:	PUNCT
jbi-21742	453	5	what	what	DET
jbi-21742	453	6	shape	shape	NOUN
jbi-21742	453	7	are	be	AUX
jbi-21742	453	8	species	species	NOUN
jbi-21742	453	9	responses	response	NOUN
jbi-21742	453	10	along	along	ADP
jbi-21742	453	11	ecological	ecological	ADJ
jbi-21742	453	12	gradients	gradient	NOUN
jbi-21742	453	13	?	?	PUNCT
jbi-21742	454	1	ecol	ecol	PROPN
jbi-21742	454	2	.	.	PUNCT
jbi-21742	455	1	model	model	NOUN
jbi-21742	455	2	.	.	PUNCT
jbi-21742	456	1	157:119–129	157:119–129	NUM
jbi-21742	456	2	.	.	PUNCT
jbi-21742	456	3	park	park	PROPN
jbi-21742	456	4	,	,	PUNCT
jbi-21742	456	5	d.	d.	PROPN
jbi-21742	456	6	s.	s.	PROPN
jbi-21742	456	7	,	,	PUNCT
jbi-21742	456	8	and	and	CCONJ
jbi-21742	456	9	d.	d.	PROPN
jbi-21742	456	10	potter	potter	PROPN
jbi-21742	456	11	.	.	PUNCT
jbi-21742	457	1	2015	2015	NUM
jbi-21742	457	2	.	.	PUNCT
jbi-21742	458	1	why	why	SCONJ
jbi-21742	458	2	close	close	ADJ
jbi-21742	458	3	relatives	relative	NOUN
jbi-21742	458	4	make	make	VERB
jbi-21742	458	5	bad	bad	ADJ
jbi-21742	458	6	neighbours	neighbour	NOUN
jbi-21742	458	7	:	:	PUNCT
jbi-21742	458	8	phylogenetic	phylogenetic	ADJ
jbi-21742	458	9	conservatism	conservatism	NOUN
jbi-21742	458	10	in	in	ADP
jbi-21742	458	11	niche	niche	NOUN
jbi-21742	458	12	preferences	preference	NOUN
jbi-21742	458	13	and	and	CCONJ
jbi-21742	458	14	dispersal	dispersal	NOUN
jbi-21742	458	15	disproves	disprove	NOUN
jbi-21742	458	16	darwin	darwin	PROPN
jbi-21742	458	17	’s	’s	PART
jbi-21742	458	18	naturalization	naturalization	NOUN
jbi-21742	458	19	hypothesis	hypothesis	NOUN
jbi-21742	458	20	in	in	ADP
jbi-21742	458	21	the	the	DET
jbi-21742	458	22	thistle	thistle	NOUN
jbi-21742	458	23	tribe	tribe	NOUN
jbi-21742	458	24	.	.	PUNCT
jbi-21742	459	1	mol	mol	PROPN
jbi-21742	459	2	.	.	PUNCT
jbi-21742	460	1	ecol	ecol	PROPN
jbi-21742	460	2	.	.	PUNCT
jbi-21742	461	1	24:3181–3193	24:3181–3193	NUM
jbi-21742	461	2	.	.	X
jbi-21742	461	3	peterson	peterson	PROPN
jbi-21742	461	4	,	,	PUNCT
jbi-21742	461	5	a.	a.	PROPN
jbi-21742	461	6	t.	t.	PROPN
jbi-21742	461	7	2014	2014	NUM
jbi-21742	461	8	.	.	PUNCT
jbi-21742	462	1	mapping	mapping	NOUN
jbi-21742	462	2	disease	disease	NOUN
jbi-21742	462	3	transmission	transmission	NOUN
jbi-21742	462	4	risk	risk	NOUN
jbi-21742	462	5	.	.	PUNCT
jbi-21742	463	1	johns	johns	PROPN
jbi-21742	463	2	hopkins	hopkins	PROPN
jbi-21742	463	3	university	university	PROPN
jbi-21742	463	4	press	press	NOUN
jbi-21742	463	5	.	.	PUNCT
jbi-21742	464	1	peterson	peterson	PROPN
jbi-21742	464	2	,	,	PUNCT
jbi-21742	464	3	a.	a.	PROPN
jbi-21742	464	4	t.	t.	PROPN
jbi-21742	464	5	,	,	PUNCT
jbi-21742	464	6	j.	j.	PROPN
jbi-21742	464	7	soberón	soberón	PROPN
jbi-21742	464	8	,	,	PUNCT
jbi-21742	464	9	r.	r.	PROPN
jbi-21742	464	10	g.	g.	PROPN
jbi-21742	464	11	pearson	pearson	PROPN
jbi-21742	464	12	,	,	PUNCT
jbi-21742	464	13	r.	r.	PROPN
jbi-21742	464	14	p.	p.	PROPN
jbi-21742	464	15	anderson	anderson	PROPN
jbi-21742	464	16	,	,	PUNCT
jbi-21742	464	17	e.	e.	PROPN
jbi-21742	464	18	martínez	martínez	PROPN
jbi-21742	464	19	-	-	PUNCT
jbi-21742	464	20	meyer	meyer	PROPN
jbi-21742	464	21	,	,	PUNCT
jbi-21742	464	22	m.	m.	NOUN
jbi-21742	464	23	nakamura	nakamura	PROPN
jbi-21742	464	24	,	,	PUNCT
jbi-21742	464	25	and	and	CCONJ
jbi-21742	464	26	m.	m.	PROPN
jbi-21742	464	27	b.	b.	PROPN
jbi-21742	464	28	araújo	araújo	PROPN
jbi-21742	464	29	.	.	PUNCT
jbi-21742	465	1	2011	2011	NUM
jbi-21742	465	2	.	.	PUNCT
jbi-21742	466	1	ecological	ecological	ADJ
jbi-21742	466	2	niches	niche	NOUN
jbi-21742	466	3	and	and	CCONJ
jbi-21742	466	4	geographic	geographic	ADJ
jbi-21742	466	5	distributions	distribution	NOUN
jbi-21742	466	6	(	(	PUNCT
jbi-21742	466	7	mpb-49	mpb-49	NOUN
jbi-21742	466	8	)	)	PUNCT
jbi-21742	466	9	.	.	PUNCT
jbi-21742	467	1	princeton	princeton	PROPN
jbi-21742	467	2	university	university	PROPN
jbi-21742	467	3	press	press	NOUN
jbi-21742	467	4	.	.	PUNCT
jbi-21742	468	1	phillips	phillips	PROPN
jbi-21742	468	2	,	,	PUNCT
jbi-21742	468	3	s.	s.	PROPN
jbi-21742	468	4	j.	j.	PROPN
jbi-21742	468	5	,	,	PUNCT
jbi-21742	468	6	r.	r.	PROPN
jbi-21742	468	7	p.	p.	PROPN
jbi-21742	468	8	anderson	anderson	PROPN
jbi-21742	468	9	,	,	PUNCT
jbi-21742	468	10	m.	m.	NOUN
jbi-21742	468	11	dudík	dudík	PROPN
jbi-21742	468	12	,	,	PUNCT
jbi-21742	468	13	r.	r.	PROPN
jbi-21742	468	14	e.	e.	PROPN
jbi-21742	468	15	schapire	schapire	PROPN
jbi-21742	468	16	,	,	PUNCT
jbi-21742	468	17	and	and	CCONJ
jbi-21742	468	18	m.	m.	PROPN
jbi-21742	468	19	e.	e.	PROPN
jbi-21742	468	20	blair	blair	PROPN
jbi-21742	468	21	.	.	PROPN
jbi-21742	468	22	2017	2017	NUM
jbi-21742	468	23	.	.	PUNCT
jbi-21742	469	1	opening	open	VERB
jbi-21742	469	2	the	the	DET
jbi-21742	469	3	black	black	ADJ
jbi-21742	469	4	box	box	NOUN
jbi-21742	469	5	:	:	PUNCT
jbi-21742	469	6	an	an	DET
jbi-21742	469	7	open	open	ADJ
jbi-21742	469	8	-	-	PUNCT
jbi-21742	469	9	source	source	NOUN
jbi-21742	469	10	release	release	NOUN
jbi-21742	469	11	of	of	ADP
jbi-21742	469	12	maxent	maxent	NOUN
jbi-21742	469	13	.	.	PUNCT
jbi-21742	470	1	ecography	ecography	NOUN
jbi-21742	470	2	40:887–893	40:887–893	PROPN
jbi-21742	470	3	.	.	PUNCT
jbi-21742	471	1	phillips	phillips	PROPN
jbi-21742	471	2	,	,	PUNCT
jbi-21742	471	3	s.	s.	PROPN
jbi-21742	471	4	j.	j.	PROPN
jbi-21742	471	5	,	,	PUNCT
jbi-21742	471	6	r.	r.	PROPN
jbi-21742	471	7	p.	p.	PROPN
jbi-21742	471	8	anderson	anderson	PROPN
jbi-21742	471	9	,	,	PUNCT
jbi-21742	471	10	and	and	CCONJ
jbi-21742	471	11	r.	r.	PROPN
jbi-21742	471	12	e.	e.	PROPN
jbi-21742	471	13	schapire	schapire	PROPN
jbi-21742	471	14	.	.	PUNCT
jbi-21742	472	1	2006	2006	NUM
jbi-21742	472	2	.	.	PUNCT
jbi-21742	473	1	maximum	maximum	ADJ
jbi-21742	473	2	entropy	entropy	PROPN
jbi-21742	473	3	modeling	modeling	NOUN
jbi-21742	473	4	of	of	ADP
jbi-21742	473	5	species	specie	NOUN
jbi-21742	473	6	geographic	geographic	ADJ
jbi-21742	473	7	distributions	distribution	NOUN
jbi-21742	473	8	.	.	PUNCT
jbi-21742	474	1	ecol	ecol	PROPN
jbi-21742	474	2	.	.	PUNCT
jbi-21742	475	1	model	model	NOUN
jbi-21742	475	2	.	.	PUNCT
jbi-21742	476	1	190:231–259	190:231–259	NUM
jbi-21742	476	2	.	.	PUNCT
jbi-21742	477	1	qiao	qiao	PROPN
jbi-21742	477	2	,	,	PUNCT
jbi-21742	477	3	h.	h.	PROPN
jbi-21742	477	4	,	,	PUNCT
jbi-21742	477	5	j.	j.	PROPN
jbi-21742	477	6	soberón	soberón	PROPN
jbi-21742	477	7	,	,	PUNCT
jbi-21742	477	8	and	and	CCONJ
jbi-21742	477	9	a.	a.	NOUN
jbi-21742	477	10	t.	t.	PROPN
jbi-21742	477	11	peterson	peterson	PROPN
jbi-21742	477	12	.	.	PROPN
jbi-21742	477	13	2015	2015	NUM
jbi-21742	477	14	.	.	PUNCT
jbi-21742	478	1	no	no	DET
jbi-21742	478	2	silver	silver	ADJ
jbi-21742	478	3	bullets	bullet	NOUN
jbi-21742	478	4	in	in	ADP
jbi-21742	478	5	correlative	correlative	ADJ
jbi-21742	478	6	ecological	ecological	ADJ
jbi-21742	478	7	niche	niche	NOUN
jbi-21742	478	8	modelling	modelling	NOUN
jbi-21742	478	9	:	:	PUNCT
jbi-21742	478	10	insights	insight	NOUN
jbi-21742	478	11	from	from	ADP
jbi-21742	478	12	testing	test	VERB
jbi-21742	478	13	among	among	ADP
jbi-21742	478	14	many	many	ADJ
jbi-21742	478	15	potential	potential	ADJ
jbi-21742	478	16	algorithms	algorithm	NOUN
jbi-21742	478	17	for	for	ADP
jbi-21742	478	18	niche	niche	NOUN
jbi-21742	478	19	estimation	estimation	NOUN
jbi-21742	478	20	.	.	PUNCT
jbi-21742	479	1	methods	method	NOUN
jbi-21742	479	2	ecol	ecol	VERB
jbi-21742	479	3	.	.	PUNCT
jbi-21742	480	1	evol	evol	NOUN
jbi-21742	480	2	.	.	PUNCT
jbi-21742	481	1	6:1126–1136	6:1126–1136	NUM
jbi-21742	481	2	.	.	PUNCT
jbi-21742	482	1	r	r	NOUN
jbi-21742	482	2	core	core	NOUN
jbi-21742	482	3	team	team	NOUN
jbi-21742	482	4	.	.	PUNCT
jbi-21742	483	1	2022	2022	NUM
jbi-21742	483	2	.	.	PUNCT
jbi-21742	484	1	r	r	X
jbi-21742	484	2	:	:	PUNCT
jbi-21742	484	3	a	a	DET
jbi-21742	484	4	language	language	NOUN
jbi-21742	484	5	and	and	CCONJ
jbi-21742	484	6	environment	environment	NOUN
jbi-21742	484	7	for	for	ADP
jbi-21742	484	8	statistical	statistical	ADJ
jbi-21742	484	9	computing	computing	NOUN
jbi-21742	484	10	.	.	PUNCT
jbi-21742	485	1	r	r	NOUN
jbi-21742	485	2	foundation	foundation	NOUN
jbi-21742	485	3	for	for	ADP
jbi-21742	485	4	statistical	statistical	ADJ
jbi-21742	485	5	computing	computing	NOUN
jbi-21742	485	6	,	,	PUNCT
jbi-21742	485	7	vienna	vienna	PROPN
jbi-21742	485	8	,	,	PUNCT
jbi-21742	485	9	austria	austria	PROPN
jbi-21742	485	10	.	.	PUNCT
jbi-21742	486	1	radosavljevic	radosavljevic	PROPN
jbi-21742	486	2	,	,	PUNCT
jbi-21742	486	3	a.	a.	NOUN
jbi-21742	486	4	,	,	PUNCT
jbi-21742	486	5	and	and	CCONJ
jbi-21742	486	6	r.	r.	PROPN
jbi-21742	486	7	p.	p.	PROPN
jbi-21742	486	8	anderson	anderson	PROPN
jbi-21742	486	9	.	.	PUNCT
jbi-21742	487	1	2014	2014	NUM
jbi-21742	487	2	.	.	PUNCT
jbi-21742	488	1	making	make	VERB
jbi-21742	488	2	better	well	ADJ
jbi-21742	488	3	maxent	maxent	ADJ
jbi-21742	488	4	models	model	NOUN
jbi-21742	488	5	of	of	ADP
jbi-21742	488	6	species	species	NOUN
jbi-21742	488	7	distributions	distribution	NOUN
jbi-21742	488	8	:	:	PUNCT
jbi-21742	488	9	complexity	complexity	NOUN
jbi-21742	488	10	,	,	PUNCT
jbi-21742	488	11	overfitting	overfitting	NOUN
jbi-21742	488	12	and	and	CCONJ
jbi-21742	488	13	evaluation	evaluation	NOUN
jbi-21742	488	14	.	.	PUNCT
jbi-21742	489	1	j.	j.	PROPN
jbi-21742	489	2	biogeogr	biogeogr	PROPN
jbi-21742	489	3	.	.	PUNCT
jbi-21742	490	1	41:629–643	41:629–643	NOUN
jbi-21742	490	2	.	.	PUNCT
jbi-21742	491	1	rupprecht	rupprecht	PROPN
jbi-21742	491	2	,	,	PUNCT
jbi-21742	491	3	f.	f.	PROPN
jbi-21742	491	4	,	,	PUNCT
jbi-21742	491	5	j.	j.	PROPN
jbi-21742	491	6	oldeland	oldeland	PROPN
jbi-21742	491	7	,	,	PUNCT
jbi-21742	491	8	and	and	CCONJ
jbi-21742	491	9	m.	m.	NOUN
jbi-21742	491	10	finckh	finckh	PROPN
jbi-21742	491	11	.	.	PUNCT
jbi-21742	492	1	2011	2011	NUM
jbi-21742	492	2	.	.	PUNCT
jbi-21742	493	1	modelling	model	VERB
jbi-21742	493	2	potential	potential	ADJ
jbi-21742	493	3	distribution	distribution	NOUN
jbi-21742	493	4	of	of	ADP
jbi-21742	493	5	the	the	DET
jbi-21742	493	6	threatened	threatened	ADJ
jbi-21742	493	7	tree	tree	NOUN
jbi-21742	493	8	species	specie	NOUN
jbi-21742	493	9	juniperus	juniperus	PROPN
jbi-21742	493	10	oxycedrus	oxycedrus	NOUN
jbi-21742	493	11	:	:	PUNCT
jbi-21742	493	12	how	how	SCONJ
jbi-21742	493	13	to	to	PART
jbi-21742	493	14	evaluate	evaluate	VERB
jbi-21742	493	15	the	the	DET
jbi-21742	493	16	predictions	prediction	NOUN
jbi-21742	493	17	of	of	ADP
jbi-21742	493	18	different	different	ADJ
jbi-21742	493	19	modelling	modelling	NOUN
jbi-21742	493	20	approaches	approach	NOUN
jbi-21742	493	21	?	?	PUNCT
jbi-21742	494	1	j.	j.	PROPN
jbi-21742	494	2	veg	veg	PROPN
jbi-21742	494	3	.	.	PUNCT
jbi-21742	495	1	sci	sci	PROPN
jbi-21742	495	2	.	.	PUNCT
jbi-21742	496	1	22:647–659	22:647–659	NUM
jbi-21742	496	2	.	.	PUNCT
jbi-21742	496	3	santika	santika	PROPN
jbi-21742	496	4	,	,	PUNCT
jbi-21742	496	5	t.	t.	PROPN
jbi-21742	496	6	,	,	PUNCT
jbi-21742	496	7	and	and	CCONJ
jbi-21742	496	8	m.	m.	PROPN
jbi-21742	496	9	f.	f.	PROPN
jbi-21742	496	10	hutchinson	hutchinson	PROPN
jbi-21742	496	11	.	.	PROPN
jbi-21742	496	12	2009	2009	NUM
jbi-21742	496	13	.	.	PUNCT
jbi-21742	497	1	the	the	DET
jbi-21742	497	2	effect	effect	NOUN
jbi-21742	497	3	of	of	ADP
jbi-21742	497	4	species	specie	NOUN
jbi-21742	497	5	response	response	NOUN
jbi-21742	497	6	form	form	NOUN
jbi-21742	497	7	on	on	ADP
jbi-21742	497	8	species	specie	NOUN
jbi-21742	497	9	distribution	distribution	NOUN
jbi-21742	497	10	model	model	NOUN
jbi-21742	497	11	prediction	prediction	NOUN
jbi-21742	497	12	and	and	CCONJ
jbi-21742	497	13	inference	inference	NOUN
jbi-21742	497	14	.	.	PUNCT
jbi-21742	498	1	ecol	ecol	PROPN
jbi-21742	498	2	.	.	PUNCT
jbi-21742	499	1	model	model	NOUN
jbi-21742	499	2	.	.	PUNCT
jbi-21742	500	1	220:2365–2379	220:2365–2379	PROPN
jbi-21742	500	2	.	.	PUNCT
jbi-21742	500	3	searcy	searcy	PROPN
jbi-21742	500	4	,	,	PUNCT
jbi-21742	500	5	c.	c.	PROPN
jbi-21742	500	6	a.	a.	PROPN
jbi-21742	500	7	,	,	PUNCT
jbi-21742	500	8	and	and	CCONJ
jbi-21742	500	9	h.	h.	PROPN
jbi-21742	500	10	b.	b.	PROPN
jbi-21742	500	11	shaffer	shaffer	PROPN
jbi-21742	500	12	.	.	PUNCT
jbi-21742	501	1	2016	2016	NUM
jbi-21742	501	2	.	.	PUNCT
jbi-21742	502	1	do	do	AUX
jbi-21742	502	2	ecological	ecological	ADJ
jbi-21742	502	3	niche	niche	NOUN
jbi-21742	502	4	models	model	NOUN
jbi-21742	502	5	accurately	accurately	ADV
jbi-21742	502	6	identify	identify	VERB
jbi-21742	502	7	climatic	climatic	ADJ
jbi-21742	502	8	determinants	determinant	NOUN
jbi-21742	502	9	of	of	ADP
jbi-21742	502	10	species	specie	NOUN
jbi-21742	502	11	ranges	range	VERB
jbi-21742	502	12	?	?	PUNCT
jbi-21742	503	1	am	be	AUX
jbi-21742	503	2	.	.	PUNCT
jbi-21742	504	1	nat	nat	NOUN
jbi-21742	504	2	.	.	PUNCT
jbi-21742	505	1	187:423–435	187:423–435	NUM
jbi-21742	505	2	.	.	PUNCT
jbi-21742	506	1	the	the	DET
jbi-21742	506	2	university	university	PROPN
jbi-21742	506	3	of	of	ADP
jbi-21742	506	4	chicago	chicago	PROPN
jbi-21742	506	5	press	press	PROPN
jbi-21742	506	6	.	.	PUNCT
jbi-21742	507	1	smith	smith	PROPN
jbi-21742	507	2	,	,	PUNCT
jbi-21742	507	3	g.	g.	PROPN
jbi-21742	507	4	2018	2018	NUM
jbi-21742	507	5	.	.	PUNCT
jbi-21742	508	1	step	step	VERB
jbi-21742	508	2	away	away	ADV
jbi-21742	508	3	from	from	ADP
jbi-21742	508	4	stepwise	stepwise	PROPN
jbi-21742	508	5	.	.	PUNCT
jbi-21742	509	1	j.	j.	PROPN
jbi-21742	509	2	big	big	PROPN
jbi-21742	509	3	data	data	PROPN
jbi-21742	509	4	5:32	5:32	NUM
jbi-21742	509	5	.	.	PUNCT
jbi-21742	510	1	steele	steele	PROPN
jbi-21742	510	2	,	,	PUNCT
jbi-21742	510	3	k.	k.	PROPN
jbi-21742	510	4	,	,	PUNCT
jbi-21742	510	5	and	and	CCONJ
jbi-21742	510	6	c.	c.	PROPN
jbi-21742	510	7	werndl	werndl	PROPN
jbi-21742	510	8	.	.	PUNCT
jbi-21742	511	1	2013	2013	NUM
jbi-21742	511	2	.	.	PUNCT
jbi-21742	512	1	climate	climate	NOUN
jbi-21742	512	2	models	model	NOUN
jbi-21742	512	3	,	,	PUNCT
jbi-21742	512	4	calibration	calibration	NOUN
jbi-21742	512	5	,	,	PUNCT
jbi-21742	512	6	and	and	CCONJ
jbi-21742	512	7	confirmation	confirmation	NOUN
jbi-21742	512	8	.	.	PUNCT
jbi-21742	513	1	br	br	X
jbi-21742	513	2	.	.	PUNCT
jbi-21742	513	3	j.	j.	PROPN
jbi-21742	513	4	philos	philos	PROPN
jbi-21742	513	5	.	.	PUNCT
jbi-21742	514	1	sci	sci	PROPN
jbi-21742	514	2	.	.	PUNCT
jbi-21742	515	1	64:609–635	64:609–635	PROPN
jbi-21742	515	2	.	.	PUNCT
jbi-21742	516	1	the	the	DET
jbi-21742	516	2	university	university	PROPN
jbi-21742	516	3	of	of	ADP
jbi-21742	516	4	chicago	chicago	PROPN
jbi-21742	516	5	press	press	NOUN
jbi-21742	516	6	.	.	PUNCT
jbi-21742	517	1	thuiller	thuiller	PROPN
jbi-21742	517	2	,	,	PUNCT
jbi-21742	517	3	w.	w.	PROPN
jbi-21742	517	4	2003	2003	NUM
jbi-21742	517	5	.	.	PUNCT
jbi-21742	518	1	biomod	biomod	ADJ
jbi-21742	518	2	–	–	PUNCT
jbi-21742	518	3	optimizing	optimize	VERB
jbi-21742	518	4	predictions	prediction	NOUN
jbi-21742	518	5	of	of	ADP
jbi-21742	518	6	species	specie	NOUN
jbi-21742	518	7	distributions	distribution	NOUN
jbi-21742	518	8	and	and	CCONJ
jbi-21742	518	9	projecting	project	VERB
jbi-21742	518	10	potential	potential	ADJ
jbi-21742	518	11	future	future	ADJ
jbi-21742	518	12	shifts	shift	NOUN
jbi-21742	518	13	under	under	ADP
jbi-21742	518	14	global	global	ADJ
jbi-21742	518	15	change	change	NOUN
jbi-21742	518	16	.	.	PUNCT
jbi-21742	519	1	glob	glob	NOUN
jbi-21742	519	2	.	.	PUNCT
jbi-21742	520	1	change	change	NOUN
jbi-21742	520	2	biol	biol	NOUN
jbi-21742	520	3	.	.	PUNCT
jbi-21742	521	1	9:1353–1362	9:1353–1362	NUM
jbi-21742	521	2	.	.	PUNCT
jbi-21742	522	1	wagenmakers	wagenmaker	NOUN
jbi-21742	522	2	,	,	PUNCT
jbi-21742	522	3	e.-j	e.-j	PROPN
jbi-21742	522	4	.	.	PROPN
jbi-21742	522	5	,	,	PUNCT
jbi-21742	522	6	and	and	CCONJ
jbi-21742	522	7	s.	s.	PROPN
jbi-21742	522	8	farrell	farrell	PROPN
jbi-21742	522	9	.	.	PUNCT
jbi-21742	523	1	2004	2004	NUM
jbi-21742	523	2	.	.	PUNCT
jbi-21742	524	1	aic	aic	PROPN
jbi-21742	524	2	model	model	PROPN
jbi-21742	524	3	selection	selection	NOUN
jbi-21742	524	4	using	use	VERB
jbi-21742	524	5	akaike	akaike	ADJ
jbi-21742	524	6	weights	weight	NOUN
jbi-21742	524	7	.	.	PUNCT
jbi-21742	525	1	psychon	psychon	PROPN
jbi-21742	525	2	.	.	PUNCT
jbi-21742	526	1	bull	bull	PROPN
jbi-21742	526	2	.	.	PUNCT
jbi-21742	527	1	rev	rev	PROPN
jbi-21742	527	2	.	.	PUNCT
jbi-21742	528	1	11:192–196	11:192–196	PROPN
jbi-21742	528	2	.	.	PUNCT
jbi-21742	529	1	ward	ward	PROPN
jbi-21742	529	2	,	,	PUNCT
jbi-21742	529	3	g.	g.	PROPN
jbi-21742	529	4	,	,	PUNCT
jbi-21742	529	5	t.	t.	PROPN
jbi-21742	529	6	hastie	hastie	PROPN
jbi-21742	529	7	,	,	PUNCT
jbi-21742	529	8	s.	s.	PROPN
jbi-21742	529	9	barry	barry	PROPN
jbi-21742	529	10	,	,	PUNCT
jbi-21742	529	11	j.	j.	PROPN
jbi-21742	529	12	elith	elith	PROPN
jbi-21742	529	13	,	,	PUNCT
jbi-21742	529	14	and	and	CCONJ
jbi-21742	529	15	j.	j.	PROPN
jbi-21742	529	16	r.	r.	PROPN
jbi-21742	529	17	leathwick	leathwick	PROPN
jbi-21742	529	18	.	.	PUNCT
jbi-21742	530	1	2009	2009	NUM
jbi-21742	530	2	.	.	PUNCT
jbi-21742	531	1	presence	presence	NOUN
jbi-21742	531	2	-	-	PUNCT
jbi-21742	531	3	only	only	ADV
jbi-21742	531	4	data	datum	NOUN
jbi-21742	531	5	and	and	CCONJ
jbi-21742	531	6	the	the	DET
jbi-21742	531	7	em	em	PROPN
jbi-21742	531	8	algorithm	algorithm	NOUN
jbi-21742	531	9	.	.	PUNCT
jbi-21742	532	1	biometrics	biometrics	PROPN
jbi-21742	532	2	65:554–563	65:554–563	PROPN
jbi-21742	532	3	.	.	PUNCT
jbi-21742	533	1	warren	warren	PROPN
jbi-21742	533	2	,	,	PUNCT
jbi-21742	533	3	d.	d.	PROPN
jbi-21742	533	4	l.	l.	PROPN
jbi-21742	533	5	,	,	PUNCT
jbi-21742	533	6	and	and	CCONJ
jbi-21742	533	7	s.	s.	PROPN
jbi-21742	533	8	n.	n.	PROPN
jbi-21742	533	9	seifert	seifert	PROPN
jbi-21742	533	10	.	.	PUNCT
jbi-21742	534	1	2011	2011	NUM
jbi-21742	534	2	.	.	PUNCT
jbi-21742	535	1	ecological	ecological	ADJ
jbi-21742	535	2	niche	niche	NOUN
jbi-21742	535	3	modeling	modeling	NOUN
jbi-21742	535	4	in	in	ADP
jbi-21742	535	5	maxent	maxent	NOUN
jbi-21742	535	6	:	:	PUNCT
jbi-21742	535	7	the	the	DET
jbi-21742	535	8	importance	importance	NOUN
jbi-21742	535	9	of	of	ADP
jbi-21742	535	10	model	model	NOUN
jbi-21742	535	11	complexity	complexity	NOUN
jbi-21742	535	12	and	and	CCONJ
jbi-21742	535	13	the	the	DET
jbi-21742	535	14	performance	performance	NOUN
jbi-21742	535	15	of	of	ADP
jbi-21742	535	16	model	model	NOUN
jbi-21742	535	17	selection	selection	NOUN
jbi-21742	535	18	criteria	criterion	NOUN
jbi-21742	535	19	.	.	PUNCT
jbi-21742	536	1	ecol	ecol	PROPN
jbi-21742	536	2	.	.	PUNCT
jbi-21742	537	1	appl	appl	PROPN
jbi-21742	537	2	.	.	PUNCT
jbi-21742	538	1	21:335–342	21:335–342	NUM
jbi-21742	538	2	.	.	PUNCT
jbi-21742	539	1	warren	warren	PROPN
jbi-21742	539	2	,	,	PUNCT
jbi-21742	539	3	d.	d.	PROPN
jbi-21742	539	4	l.	l.	PROPN
jbi-21742	539	5	,	,	PUNCT
jbi-21742	539	6	a.	a.	PROPN
jbi-21742	539	7	n.	n.	PROPN
jbi-21742	539	8	wright	wright	PROPN
jbi-21742	539	9	,	,	PUNCT
jbi-21742	539	10	s.	s.	PROPN
jbi-21742	539	11	n.	n.	PROPN
jbi-21742	539	12	seifert	seifert	PROPN
jbi-21742	539	13	,	,	PUNCT
jbi-21742	539	14	and	and	CCONJ
jbi-21742	539	15	h.	h.	PROPN
jbi-21742	539	16	b.	b.	PROPN
jbi-21742	539	17	shaffer	shaffer	PROPN
jbi-21742	539	18	.	.	PUNCT
jbi-21742	540	1	2014	2014	NUM
jbi-21742	540	2	.	.	PUNCT
jbi-21742	541	1	incorporating	incorporate	VERB
jbi-21742	541	2	model	model	NOUN
jbi-21742	541	3	complexity	complexity	NOUN
jbi-21742	541	4	and	and	CCONJ
jbi-21742	541	5	spatial	spatial	ADJ
jbi-21742	541	6	sampling	sampling	NOUN
jbi-21742	541	7	bias	bias	NOUN
jbi-21742	541	8	into	into	ADP
jbi-21742	541	9	ecological	ecological	ADJ
jbi-21742	541	10	niche	niche	NOUN
jbi-21742	541	11	models	model	NOUN
jbi-21742	541	12	of	of	ADP
jbi-21742	541	13	climate	climate	NOUN
jbi-21742	541	14	change	change	NOUN
jbi-21742	541	15	risks	risk	NOUN
jbi-21742	541	16	faced	face	VERB
jbi-21742	541	17	by	by	ADP
jbi-21742	541	18	90	90	NUM
jbi-21742	541	19	california	california	PROPN
jbi-21742	541	20	vertebrate	vertebrate	ADJ
jbi-21742	541	21	species	specie	NOUN
jbi-21742	541	22	of	of	ADP
jbi-21742	541	23	concern	concern	NOUN
jbi-21742	541	24	.	.	PUNCT
jbi-21742	542	1	divers	diver	NOUN
jbi-21742	542	2	.	.	PUNCT
jbi-21742	543	1	distrib	distrib	PROPN
jbi-21742	543	2	.	.	PUNCT
jbi-21742	544	1	20:334–343	20:334–343	PROPN
jbi-21742	544	2	.	.	PUNCT
jbi-21742	545	1	arias	arias	PROPN
jbi-21742	545	2	-	-	PUNCT
jbi-21742	545	3	giraldo	giraldo	PROPN
jbi-21742	545	4	et	et	PROPN
jbi-21742	545	5	al	al	PROPN
jbi-21742	545	6	.	.	PROPN
jbi-21742	545	7	–	–	PUNCT
jbi-21742	545	8	enmpa	enmpa	NOUN
jbi-21742	545	9	41	41	NUM
jbi-21742	545	10	appendix	appendix	NOUN
jbi-21742	545	11	:	:	PUNCT
jbi-21742	545	12	supplementary	supplementary	ADJ
jbi-21742	545	13	figures	figure	NOUN
jbi-21742	545	14	and	and	CCONJ
jbi-21742	545	15	tables	table	NOUN
jbi-21742	545	16	figure	figure	VERB
jbi-21742	545	17	a1	a1	NOUN
jbi-21742	545	18	.	.	PUNCT
jbi-21742	545	19	results	result	NOUN
jbi-21742	545	20	from	from	ADP
jbi-21742	545	21	niche	niche	NOUN
jbi-21742	545	22	comparison	comparison	NOUN
jbi-21742	545	23	using	use	VERB
jbi-21742	545	24	permanova	permanova	PROPN
jbi-21742	545	25	analysis	analysis	NOUN
jbi-21742	545	26	.	.	PUNCT
jbi-21742	546	1	the	the	DET
jbi-21742	546	2	figure	figure	NOUN
jbi-21742	546	3	on	on	ADP
jbi-21742	546	4	the	the	DET
jbi-21742	546	5	left	left	NOUN
jbi-21742	546	6	represents	represent	VERB
jbi-21742	546	7	positive	positive	ADJ
jbi-21742	546	8	and	and	CCONJ
jbi-21742	546	9	negative	negative	ADJ
jbi-21742	546	10	records	record	NOUN
jbi-21742	546	11	in	in	ADP
jbi-21742	546	12	the	the	DET
jbi-21742	546	13	environmental	environmental	ADJ
jbi-21742	546	14	space	space	NOUN
jbi-21742	546	15	for	for	ADP
jbi-21742	546	16	bio	bio	PROPN
jbi-21742	546	17	1	1	NUM
jbi-21742	546	18	and	and	CCONJ
jbi-21742	546	19	bio	bio	PROPN
jbi-21742	546	20	2	2	NUM
jbi-21742	546	21	.	.	PUNCT
jbi-21742	547	1	on	on	ADP
jbi-21742	547	2	the	the	DET
jbi-21742	547	3	right	right	NOUN
jbi-21742	547	4	,	,	PUNCT
jbi-21742	547	5	ellipsoids	ellipsoid	NOUN
jbi-21742	547	6	are	be	AUX
jbi-21742	547	7	derived	derive	VERB
jbi-21742	547	8	from	from	ADP
jbi-21742	547	9	the	the	DET
jbi-21742	547	10	data	datum	NOUN
jbi-21742	547	11	to	to	PART
jbi-21742	547	12	explore	explore	VERB
jbi-21742	547	13	and	and	CCONJ
jbi-21742	547	14	visualize	visualize	VERB
jbi-21742	547	15	the	the	DET
jbi-21742	547	16	position	position	NOUN
jbi-21742	547	17	and	and	CCONJ
jbi-21742	547	18	spread	spread	VERB
jbi-21742	547	19	of	of	ADP
jbi-21742	547	20	host	host	NOUN
jbi-21742	547	21	and	and	CCONJ
jbi-21742	547	22	pathogen	pathogen	NOUN
jbi-21742	547	23	niches	niche	NOUN
jbi-21742	547	24	.	.	PUNCT
jbi-21742	548	1	the	the	DET
jbi-21742	548	2	p	p	NOUN
jbi-21742	548	3	-	-	PUNCT
jbi-21742	548	4	value	value	NOUN
jbi-21742	548	5	represents	represent	VERB
jbi-21742	548	6	the	the	DET
jbi-21742	548	7	statistical	statistical	ADJ
jbi-21742	548	8	significance	significance	NOUN
jbi-21742	548	9	of	of	ADP
jbi-21742	548	10	the	the	DET
jbi-21742	548	11	permanova	permanova	PROPN
jbi-21742	548	12	test	test	NOUN
jbi-21742	548	13	.	.	PUNCT
jbi-21742	549	1	figure	figure	NOUN
jbi-21742	549	2	a2	a2	PROPN
jbi-21742	549	3	:	:	PUNCT
jbi-21742	549	4	visualization	visualization	NOUN
jbi-21742	549	5	of	of	ADP
jbi-21742	549	6	the	the	DET
jbi-21742	549	7	results	result	NOUN
jbi-21742	549	8	obtained	obtain	VERB
jbi-21742	549	9	from	from	ADP
jbi-21742	549	10	the	the	DET
jbi-21742	549	11	univariate	univariate	ADJ
jbi-21742	549	12	non	non	ADJ
jbi-21742	549	13	-	-	ADJ
jbi-21742	549	14	parametric	parametric	ADJ
jbi-21742	549	15	test	test	NOUN
jbi-21742	549	16	for	for	ADP
jbi-21742	549	17	detecting	detect	VERB
jbi-21742	549	18	signals	signal	NOUN
jbi-21742	549	19	of	of	ADP
jbi-21742	549	20	the	the	DET
jbi-21742	549	21	virtual	virtual	ADJ
jbi-21742	549	22	pathogen	pathogen	NOUN
jbi-21742	549	23	’s	’s	PART
jbi-21742	549	24	niche	niche	NOUN
jbi-21742	549	25	.	.	PUNCT
jbi-21742	550	1	the	the	DET
jbi-21742	550	2	top	top	ADV
jbi-21742	550	3	-	-	PUNCT
jbi-21742	550	4	left	left	ADJ
jbi-21742	550	5	and	and	CCONJ
jbi-21742	550	6	top	top	ADJ
jbi-21742	550	7	-	-	PUNCT
jbi-21742	550	8	right	right	ADJ
jbi-21742	550	9	panels	panel	NOUN
jbi-21742	550	10	depict	depict	VERB
jbi-21742	550	11	the	the	DET
jbi-21742	550	12	mean	mean	ADJ
jbi-21742	550	13	distribution	distribution	NOUN
jbi-21742	550	14	of	of	ADP
jbi-21742	550	15	the	the	DET
jbi-21742	550	16	niche	niche	NOUN
jbi-21742	550	17	position	position	NOUN
jbi-21742	550	18	of	of	ADP
jbi-21742	550	19	the	the	DET
jbi-21742	550	20	species	specie	NOUN
jbi-21742	550	21	about	about	ADP
jbi-21742	550	22	the	the	DET
jbi-21742	550	23	null	null	ADJ
jbi-21742	550	24	distribution	distribution	NOUN
jbi-21742	550	25	for	for	ADP
jbi-21742	550	26	the	the	DET
jbi-21742	550	27	bio	bio	NOUN
jbi-21742	550	28	1	1	NUM
jbi-21742	550	29	and	and	CCONJ
jbi-21742	550	30	bio	bio	PROPN
jbi-21742	550	31	12	12	NUM
jbi-21742	550	32	variables	variable	NOUN
jbi-21742	550	33	.	.	PUNCT
jbi-21742	551	1	bottom	bottom	ADV
jbi-21742	551	2	-	-	PUNCT
jbi-21742	551	3	left	left	ADJ
jbi-21742	551	4	and	and	CCONJ
jbi-21742	551	5	bottom	bottom	ADJ
jbi-21742	551	6	-	-	PUNCT
jbi-21742	551	7	right	right	NOUN
jbi-21742	551	8	panels	panel	NOUN
jbi-21742	551	9	depict	depict	VERB
jbi-21742	551	10	the	the	DET
jbi-21742	551	11	range	range	NOUN
jbi-21742	551	12	of	of	ADP
jbi-21742	551	13	environmental	environmental	ADJ
jbi-21742	551	14	conditions	condition	NOUN
jbi-21742	551	15	of	of	ADP
jbi-21742	551	16	the	the	DET
jbi-21742	551	17	niche	niche	NOUN
jbi-21742	551	18	about	about	ADP
jbi-21742	551	19	the	the	DET
jbi-21742	551	20	null	null	ADJ
jbi-21742	551	21	distribution	distribution	NOUN
jbi-21742	551	22	,	,	PUNCT
jbi-21742	551	23	as	as	SCONJ
jbi-21742	551	24	represented	represent	VERB
jbi-21742	551	25	by	by	ADP
jbi-21742	551	26	the	the	DET
jbi-21742	551	27	standard	standard	ADJ
jbi-21742	551	28	deviation	deviation	NOUN
jbi-21742	551	29	(	(	PUNCT
jbi-21742	551	30	sd	sd	NOUN
jbi-21742	551	31	)	)	PUNCT
jbi-21742	551	32	.	.	PUNCT
jbi-21742	552	1	the	the	DET
jbi-21742	552	2	vertical	vertical	ADJ
jbi-21742	552	3	dotted	dotted	ADJ
jbi-21742	552	4	blue	blue	ADJ
jbi-21742	552	5	lines	line	NOUN
jbi-21742	552	6	signify	signify	VERB
jbi-21742	552	7	the	the	DET
jbi-21742	552	8	observed	observe	VERB
jbi-21742	552	9	value	value	NOUN
jbi-21742	552	10	associated	associate	VERB
jbi-21742	552	11	with	with	ADP
jbi-21742	552	12	presences	presence	NOUN
jbi-21742	552	13	of	of	ADP
jbi-21742	552	14	the	the	DET
jbi-21742	552	15	pathogen	pathogen	NOUN
jbi-21742	552	16	.	.	PUNCT
jbi-21742	553	1	the	the	DET
jbi-21742	553	2	vertical	vertical	ADJ
jbi-21742	553	3	dotted	dotted	ADJ
jbi-21742	553	4	gray	gray	ADJ
jbi-21742	553	5	lines	line	NOUN
jbi-21742	553	6	represent	represent	VERB
jbi-21742	553	7	the	the	DET
jbi-21742	553	8	lower	low	ADJ
jbi-21742	553	9	and	and	CCONJ
jbi-21742	553	10	upper	upper	ADJ
jbi-21742	553	11	95	95	NUM
jbi-21742	553	12	%	%	NOUN
jbi-21742	553	13	confidence	confidence	NOUN
jbi-21742	553	14	limits	limit	NOUN
jbi-21742	553	15	of	of	ADP
jbi-21742	553	16	the	the	DET
jbi-21742	553	17	null	null	ADJ
jbi-21742	553	18	distribution	distribution	NOUN
jbi-21742	553	19	.	.	PUNCT
jbi-21742	554	1	the	the	DET
jbi-21742	554	2	barplot	barplot	NOUN
jbi-21742	554	3	histogram	histogram	NOUN
jbi-21742	554	4	represents	represent	VERB
jbi-21742	554	5	the	the	DET
jbi-21742	554	6	null	null	ADJ
jbi-21742	554	7	distribution	distribution	NOUN
jbi-21742	554	8	.	.	PUNCT
jbi-21742	555	1	arias	arias	PROPN
jbi-21742	555	2	-	-	PUNCT
jbi-21742	555	3	giraldo	giraldo	PROPN
jbi-21742	555	4	et	et	PROPN
jbi-21742	555	5	al	al	PROPN
jbi-21742	555	6	.	.	PROPN
jbi-21742	555	7	–	–	PUNCT
jbi-21742	555	8	enmpa	enmpa	NOUN
jbi-21742	555	9	42	42	NUM
jbi-21742	555	10	figure	figure	NOUN
jbi-21742	555	11	a3	a3	NOUN
jbi-21742	555	12	:	:	PUNCT
jbi-21742	555	13	geographic	geographic	ADJ
jbi-21742	555	14	projections	projection	NOUN
jbi-21742	555	15	of	of	ADP
jbi-21742	555	16	the	the	DET
jbi-21742	555	17	probability	probability	NOUN
jbi-21742	555	18	of	of	ADP
jbi-21742	555	19	occurrence	occurrence	NOUN
jbi-21742	555	20	for	for	ADP
jbi-21742	555	21	the	the	DET
jbi-21742	555	22	virtual	virtual	ADJ
jbi-21742	555	23	pathogen	pathogen	NOUN
jbi-21742	555	24	species	specie	NOUN
jbi-21742	555	25	,	,	PUNCT
jbi-21742	555	26	based	base	VERB
jbi-21742	555	27	on	on	ADP
jbi-21742	555	28	two	two	NUM
jbi-21742	555	29	final	final	ADJ
jbi-21742	555	30	selected	select	VERB
jbi-21742	555	31	models	model	NOUN
jbi-21742	555	32	and	and	CCONJ
jbi-21742	555	33	their	their	PRON
jbi-21742	555	34	weighted	weighted	ADJ
jbi-21742	555	35	average	average	ADJ
jbi-21742	555	36	consensus	consensus	NOUN
jbi-21742	555	37	.	.	PUNCT
jbi-21742	556	1	the	the	DET
jbi-21742	556	2	projections	projection	NOUN
jbi-21742	556	3	are	be	AUX
jbi-21742	556	4	displayed	display	VERB
jbi-21742	556	5	under	under	ADP
jbi-21742	556	6	two	two	NUM
jbi-21742	556	7	conditions	condition	NOUN
jbi-21742	556	8	:	:	PUNCT
jbi-21742	556	9	no	no	DET
jbi-21742	556	10	extrapolation	extrapolation	NOUN
jbi-21742	556	11	(	(	PUNCT
jbi-21742	556	12	ne	ne	NOUN
jbi-21742	556	13	)	)	PUNCT
jbi-21742	556	14	and	and	CCONJ
jbi-21742	556	15	extrapolation	extrapolation	NOUN
jbi-21742	556	16	with	with	ADP
jbi-21742	556	17	clamping	clamp	VERB
jbi-21742	556	18	(	(	PUNCT
jbi-21742	556	19	ec	ec	PROPN
jbi-21742	556	20	)	)	PUNCT
jbi-21742	556	21	.	.	PUNCT
jbi-21742	557	1	each	each	DET
jbi-21742	557	2	row	row	NOUN
jbi-21742	557	3	represents	represent	VERB
jbi-21742	557	4	different	different	ADJ
jbi-21742	557	5	models	model	NOUN
jbi-21742	557	6	(	(	PUNCT
jbi-21742	557	7	model	model	VERB
jbi-21742	557	8	i	i	PROPN
jbi-21742	557	9	d	d	PROPN
jbi-21742	557	10	29	29	NUM
jbi-21742	557	11	and	and	CCONJ
jbi-21742	557	12	model	model	NOUN
jbi-21742	557	13	i	i	PROPN
jbi-21742	557	14	d	d	PROPN
jbi-21742	557	15	31	31	NUM
jbi-21742	557	16	)	)	PUNCT
jbi-21742	557	17	and	and	CCONJ
jbi-21742	557	18	their	their	PRON
jbi-21742	557	19	weighted	weight	VERB
jbi-21742	557	20	averages	average	NOUN
jbi-21742	557	21	,	,	PUNCT
jbi-21742	557	22	with	with	ADP
jbi-21742	557	23	the	the	DET
jbi-21742	557	24	left	left	ADJ
jbi-21742	557	25	column	column	NOUN
jbi-21742	557	26	showing	show	VERB
jbi-21742	557	27	ne	ne	NOUN
jbi-21742	557	28	conditions	condition	NOUN
jbi-21742	557	29	and	and	CCONJ
jbi-21742	557	30	the	the	DET
jbi-21742	557	31	right	right	ADJ
jbi-21742	557	32	column	column	NOUN
jbi-21742	557	33	showing	show	VERB
jbi-21742	557	34	ec	ec	PROPN
jbi-21742	557	35	conditions	condition	NOUN
jbi-21742	557	36	.	.	PUNCT
jbi-21742	558	1	maps	map	NOUN
jbi-21742	558	2	are	be	AUX
jbi-21742	558	3	presented	present	VERB
jbi-21742	558	4	at	at	ADP
jbi-21742	558	5	a	a	DET
jbi-21742	558	6	spatial	spatial	ADJ
jbi-21742	558	7	resolution	resolution	NOUN
jbi-21742	558	8	of	of	ADP
jbi-21742	558	9	10	10	NUM
jbi-21742	558	10	'	'	PUNCT
jbi-21742	558	11	(	(	PUNCT
jbi-21742	558	12	~20	~20	ADP
jbi-21742	558	13	km	km	NOUN
jbi-21742	558	14	at	at	ADP
jbi-21742	558	15	the	the	DET
jbi-21742	558	16	equator	equator	NOUN
jbi-21742	558	17	)	)	PUNCT
jbi-21742	558	18	.	.	PUNCT
jbi-21742	559	1	models	model	NOUN
jbi-21742	559	2	threshold	threshold	VERB
jbi-21742	559	3	criteria	criterion	NOUN
jbi-21742	559	4	threshold	threshold	VERB
jbi-21742	559	5	omission	omission	NOUN
jbi-21742	559	6	error	error	NOUN
jbi-21742	559	7	mean	mean	VERB
jbi-21742	559	8	auc	auc	NOUN
jbi-21742	559	9	ratio	ratio	NOUN
jbi-21742	559	10	at	at	ADP
jbi-21742	559	11	5	5	NUM
jbi-21742	559	12	%	%	NOUN
jbi-21742	559	13	p	p	NOUN
jbi-21742	559	14	-	-	PUNCT
jbi-21742	559	15	value	value	NOUN
jbi-21742	559	16	proc	proc	NOUN
jbi-21742	559	17	i	i	PROPN
jbi-21742	559	18	d	d	PROPN
jbi-21742	559	19	29	29	NUM
jbi-21742	559	20	ess	ess	VERB
jbi-21742	559	21	0.137	0.137	NUM
jbi-21742	559	22	0.091	0.091	NUM
jbi-21742	559	23	1.648	1.648	NUM
jbi-21742	559	24	<	<	X
jbi-21742	559	25	0.0001	0.0001	NUM
jbi-21742	559	26	maxtss	maxtss	NOUN
jbi-21742	559	27	0.117	0.117	NUM
jbi-21742	559	28	0.000	0.000	NUM
jbi-21742	559	29	1.648	1.648	NUM
jbi-21742	559	30	<	<	NOUN
jbi-21742	559	31	0.0001	0.0001	NUM
jbi-21742	559	32	sen90	sen90	ADJ
jbi-21742	559	33	0.131	0.131	NUM
jbi-21742	559	34	0.091	0.091	NUM
jbi-21742	559	35	1.648	1.648	NUM
jbi-21742	559	36	<	<	X
jbi-21742	559	37	0.0001	0.0001	NUM
jbi-21742	559	38	i	i	PROPN
jbi-21742	559	39	d	d	PROPN
jbi-21742	559	40	31	31	NUM
jbi-21742	559	41	ess	ess	NOUN
jbi-21742	559	42	0.158	0.158	NUM
jbi-21742	559	43	0.091	0.091	NUM
jbi-21742	559	44	1.631	1.631	NUM
jbi-21742	559	45	<	<	X
jbi-21742	559	46	0.0001	0.0001	NUM
jbi-21742	559	47	maxtss	maxtss	NOUN
jbi-21742	559	48	0.135	0.135	NUM
jbi-21742	559	49	0.000	0.000	NUM
jbi-21742	559	50	1.630	1.630	NUM
jbi-21742	559	51	<	<	NOUN
jbi-21742	559	52	0.0001	0.0001	NUM
jbi-21742	559	53	sen90	sen90	PROPN
jbi-21742	559	54	0.144	0.144	NUM
jbi-21742	559	55	0.091	0.091	NUM
jbi-21742	559	56	1.636	1.636	NUM
jbi-21742	559	57	<	<	NOUN
jbi-21742	559	58	0.0001	0.0001	NUM
jbi-21742	559	59	consensus	consensus	NOUN
jbi-21742	559	60	(	(	PUNCT
jbi-21742	559	61	weighted	weight	VERB
jbi-21742	559	62	average	average	ADJ
jbi-21742	559	63	)	)	PUNCT
jbi-21742	559	64	ess	ess	NOUN
jbi-21742	559	65	0.150	0.150	NUM
jbi-21742	559	66	0.091	0.091	NUM
jbi-21742	559	67	1.635	1.635	NUM
jbi-21742	559	68	<	<	NOUN
jbi-21742	559	69	0.0001	0.0001	NUM
jbi-21742	559	70	maxtss	maxtss	NOUN
jbi-21742	559	71	0.127	0.127	NUM
jbi-21742	559	72	0.000	0.000	NUM
jbi-21742	559	73	1.640	1.640	NUM
jbi-21742	559	74	<	<	NOUN
jbi-21742	559	75	0.0001	0.0001	NUM
jbi-21742	559	76	sen90	sen90	PROPN
jbi-21742	559	77	0.139	0.139	NUM
jbi-21742	559	78	0.091	0.091	NUM
jbi-21742	559	79	1.640	1.640	NUM
jbi-21742	559	80	<	<	NOUN
jbi-21742	559	81	0.0001	0.0001	NUM
jbi-21742	559	82	table	table	NOUN
jbi-21742	559	83	a1	a1	NOUN
jbi-21742	559	84	.	.	PUNCT
jbi-21742	559	85	evaluation	evaluation	NOUN
jbi-21742	559	86	of	of	ADP
jbi-21742	559	87	the	the	DET
jbi-21742	559	88	two	two	NUM
jbi-21742	559	89	selected	select	VERB
jbi-21742	559	90	models	model	NOUN
jbi-21742	559	91	and	and	CCONJ
jbi-21742	559	92	the	the	DET
jbi-21742	559	93	consensus	consensus	NOUN
jbi-21742	559	94	using	use	VERB
jbi-21742	559	95	an	an	DET
jbi-21742	559	96	independent	independent	ADJ
jbi-21742	559	97	data	datum	NOUN
jbi-21742	559	98	set	set	VERB
jbi-21742	559	99	using	use	VERB
jbi-21742	559	100	presences	presence	NOUN
jbi-21742	559	101	-	-	PUNCT
jbi-21742	559	102	only	only	ADJ
jbi-21742	559	103	data	datum	NOUN
jbi-21742	559	104	.	.	PUNCT