id	sid	tid	token	lemma	pos
jbi-40	1	1	microsoft	microsoft	PROPN
jbi-40	1	2	word	word	NOUN
jbi-40	1	3	lobo_final_20080201_new.doc	lobo_final_20080201_new.doc	PROPN
jbi-40	1	4	biodiversity	biodiversity	NOUN
jbi-40	1	5	informatics	informatic	NOUN
jbi-40	1	6	,	,	PUNCT
jbi-40	1	7	5	5	NUM
jbi-40	1	8	,	,	PUNCT
jbi-40	1	9	2008	2008	NUM
jbi-40	1	10	,	,	PUNCT
jbi-40	1	11	pp	pp	ADJ
jbi-40	1	12	.	.	PUNCT
jbi-40	2	1	14	14	NUM
jbi-40	2	2	-	-	SYM
jbi-40	2	3	19	19	NUM
jbi-40	2	4	14	14	NUM
jbi-40	2	5	more	more	ADJ
jbi-40	2	6	complex	complex	ADJ
jbi-40	2	7	distribution	distribution	NOUN
jbi-40	2	8	models	model	NOUN
jbi-40	2	9	or	or	CCONJ
jbi-40	2	10	more	more	ADJ
jbi-40	2	11	representative	representative	ADJ
jbi-40	2	12	data	datum	NOUN
jbi-40	2	13	?	?	PUNCT
jbi-40	3	1	jorge	jorge	PROPN
jbi-40	3	2	m.	m.	PROPN
jbi-40	3	3	lobo	lobo	PROPN
jbi-40	3	4	dpto	dpto	PROPN
jbi-40	3	5	.	.	PUNCT
jbi-40	4	1	de	de	PROPN
jbi-40	4	2	biodiversidad	biodiversidad	PROPN
jbi-40	4	3	y	y	PROPN
jbi-40	4	4	biología	biología	PROPN
jbi-40	4	5	evolutiva	evolutiva	PROPN
jbi-40	4	6	,	,	PUNCT
jbi-40	4	7	museo	museo	PROPN
jbi-40	4	8	nacional	nacional	PROPN
jbi-40	4	9	de	de	PROPN
jbi-40	4	10	ciencias	ciencias	PROPN
jbi-40	4	11	naturales	naturales	PROPN
jbi-40	4	12	(	(	PUNCT
jbi-40	4	13	csic	csic	PROPN
jbi-40	4	14	)	)	PUNCT
jbi-40	4	15	,	,	PUNCT
jbi-40	4	16	c	c	PROPN
jbi-40	4	17	/	/	SYM
jbi-40	4	18	josé	josé	PROPN
jbi-40	4	19	gutiérrez	gutiérrez	PROPN
jbi-40	4	20	abascal	abascal	ADJ
jbi-40	4	21	,	,	PUNCT
jbi-40	4	22	2	2	NUM
jbi-40	4	23	–	–	PUNCT
jbi-40	4	24	28006	28006	NUM
jbi-40	4	25	,	,	PUNCT
jbi-40	4	26	madrid	madrid	PROPN
jbi-40	4	27	,	,	PUNCT
jbi-40	4	28	spain	spain	PROPN
jbi-40	4	29	.	.	PUNCT
jbi-40	5	1	e	e	X
jbi-40	5	2	-	-	NOUN
jbi-40	5	3	mail	mail	NOUN
jbi-40	5	4	:	:	PUNCT
jbi-40	5	5	mcnj117@mncn.csic.es	mcnj117@mncn.csic.es	NOUN
jbi-40	5	6	abstract.⎯	abstract.⎯	ADP
jbi-40	5	7	distribution	distribution	NOUN
jbi-40	5	8	models	model	NOUN
jbi-40	5	9	for	for	ADP
jbi-40	5	10	species	specie	NOUN
jbi-40	5	11	are	be	AUX
jbi-40	5	12	increasingly	increasingly	ADV
jbi-40	5	13	used	use	VERB
jbi-40	5	14	to	to	PART
jbi-40	5	15	summarize	summarize	VERB
jbi-40	5	16	species	specie	NOUN
jbi-40	5	17	’	'	PUNCT
jbi-40	5	18	geography	geography	NOUN
jbi-40	5	19	in	in	ADP
jbi-40	5	20	conservation	conservation	NOUN
jbi-40	5	21	analyses	analysis	NOUN
jbi-40	5	22	.	.	PUNCT
jbi-40	6	1	these	these	DET
jbi-40	6	2	models	model	NOUN
jbi-40	6	3	use	use	VERB
jbi-40	6	4	increasingly	increasingly	ADV
jbi-40	6	5	sophisticated	sophisticated	ADJ
jbi-40	6	6	modeling	modeling	NOUN
jbi-40	6	7	techniques	technique	NOUN
jbi-40	6	8	,	,	PUNCT
jbi-40	6	9	but	but	CCONJ
jbi-40	6	10	often	often	ADV
jbi-40	6	11	lack	lack	VERB
jbi-40	6	12	detailed	detailed	ADJ
jbi-40	6	13	examination	examination	NOUN
jbi-40	6	14	of	of	ADP
jbi-40	6	15	the	the	DET
jbi-40	6	16	quality	quality	NOUN
jbi-40	6	17	of	of	ADP
jbi-40	6	18	the	the	DET
jbi-40	6	19	biological	biological	ADJ
jbi-40	6	20	occurrence	occurrence	NOUN
jbi-40	6	21	data	datum	NOUN
jbi-40	6	22	on	on	ADP
jbi-40	6	23	which	which	PRON
jbi-40	6	24	they	they	PRON
jbi-40	6	25	are	be	AUX
jbi-40	6	26	based	base	VERB
jbi-40	6	27	.	.	PUNCT
jbi-40	7	1	i	i	PRON
jbi-40	7	2	analyze	analyze	VERB
jbi-40	7	3	the	the	DET
jbi-40	7	4	results	result	NOUN
jbi-40	7	5	of	of	ADP
jbi-40	7	6	the	the	DET
jbi-40	7	7	best	good	ADJ
jbi-40	7	8	comparative	comparative	ADJ
jbi-40	7	9	study	study	NOUN
jbi-40	7	10	of	of	ADP
jbi-40	7	11	the	the	DET
jbi-40	7	12	performance	performance	NOUN
jbi-40	7	13	of	of	ADP
jbi-40	7	14	different	different	ADJ
jbi-40	7	15	modeling	modeling	NOUN
jbi-40	7	16	techniques	technique	NOUN
jbi-40	7	17	,	,	PUNCT
jbi-40	7	18	which	which	PRON
jbi-40	7	19	used	use	VERB
jbi-40	7	20	pseudo	pseudo	NOUN
jbi-40	7	21	-	-	NOUN
jbi-40	7	22	absence	absence	NOUN
jbi-40	7	23	data	datum	NOUN
jbi-40	7	24	selected	select	VERB
jbi-40	7	25	at	at	ADP
jbi-40	7	26	random	random	ADJ
jbi-40	7	27	.	.	PUNCT
jbi-40	8	1	i	i	PRON
jbi-40	8	2	provide	provide	VERB
jbi-40	8	3	an	an	DET
jbi-40	8	4	example	example	NOUN
jbi-40	8	5	of	of	ADP
jbi-40	8	6	variation	variation	NOUN
jbi-40	8	7	in	in	ADP
jbi-40	8	8	model	model	NOUN
jbi-40	8	9	accuracy	accuracy	NOUN
jbi-40	8	10	depending	depend	VERB
jbi-40	8	11	on	on	ADP
jbi-40	8	12	the	the	DET
jbi-40	8	13	type	type	NOUN
jbi-40	8	14	of	of	ADP
jbi-40	8	15	absence	absence	NOUN
jbi-40	8	16	information	information	NOUN
jbi-40	8	17	used	use	VERB
jbi-40	8	18	,	,	PUNCT
jbi-40	8	19	showing	show	VERB
jbi-40	8	20	that	that	PRON
jbi-40	8	21	good	good	ADJ
jbi-40	8	22	model	model	NOUN
jbi-40	8	23	predictions	prediction	NOUN
jbi-40	8	24	depend	depend	VERB
jbi-40	8	25	most	most	ADV
jbi-40	8	26	critically	critically	ADV
jbi-40	8	27	on	on	ADP
jbi-40	8	28	better	well	ADJ
jbi-40	8	29	biological	biological	ADJ
jbi-40	8	30	data	datum	NOUN
jbi-40	8	31	.	.	PUNCT
jbi-40	9	1	key	key	ADJ
jbi-40	9	2	words.⎯	words.⎯	NOUN
jbi-40	9	3	distribution	distribution	NOUN
jbi-40	9	4	models	model	NOUN
jbi-40	9	5	,	,	PUNCT
jbi-40	9	6	model	model	NOUN
jbi-40	9	7	reliability	reliability	NOUN
jbi-40	9	8	,	,	PUNCT
jbi-40	9	9	pseudo	pseudo	NOUN
jbi-40	9	10	-	-	NOUN
jbi-40	9	11	absences	absence	NOUN
jbi-40	9	12	,	,	PUNCT
jbi-40	9	13	conservation	conservation	NOUN
jbi-40	9	14	usefulness	usefulness	NOUN
jbi-40	9	15	.	.	PUNCT
jbi-40	10	1	recently	recently	ADV
jbi-40	10	2	,	,	PUNCT
jbi-40	10	3	many	many	ADJ
jbi-40	10	4	efforts	effort	NOUN
jbi-40	10	5	have	have	AUX
jbi-40	10	6	focused	focus	VERB
jbi-40	10	7	on	on	ADP
jbi-40	10	8	creation	creation	NOUN
jbi-40	10	9	of	of	ADP
jbi-40	10	10	models	model	NOUN
jbi-40	10	11	able	able	ADJ
jbi-40	10	12	to	to	PART
jbi-40	10	13	predict	predict	VERB
jbi-40	10	14	species	specie	NOUN
jbi-40	10	15	’	'	PUNCT
jbi-40	10	16	distributions	distribution	NOUN
jbi-40	10	17	from	from	ADP
jbi-40	10	18	partial	partial	ADJ
jbi-40	10	19	data	datum	NOUN
jbi-40	10	20	.	.	PUNCT
jbi-40	11	1	these	these	DET
jbi-40	11	2	distributional	distributional	ADJ
jbi-40	11	3	models	model	NOUN
jbi-40	11	4	use	use	VERB
jbi-40	11	5	known	know	VERB
jbi-40	11	6	distribution	distribution	NOUN
jbi-40	11	7	records	record	NOUN
jbi-40	11	8	of	of	ADP
jbi-40	11	9	a	a	DET
jbi-40	11	10	species	specie	NOUN
jbi-40	11	11	,	,	PUNCT
jbi-40	11	12	as	as	ADV
jbi-40	11	13	well	well	ADV
jbi-40	11	14	as	as	ADP
jbi-40	11	15	environmental	environmental	ADJ
jbi-40	11	16	and	and	CCONJ
jbi-40	11	17	spatial	spatial	ADJ
jbi-40	11	18	explanatory	explanatory	ADJ
jbi-40	11	19	variables	variable	NOUN
jbi-40	11	20	,	,	PUNCT
jbi-40	11	21	to	to	PART
jbi-40	11	22	build	build	VERB
jbi-40	11	23	statistical	statistical	ADJ
jbi-40	11	24	functions	function	NOUN
jbi-40	11	25	for	for	ADP
jbi-40	11	26	interpolating	interpolate	VERB
jbi-40	11	27	species	specie	NOUN
jbi-40	11	28	’	'	PUNCT
jbi-40	11	29	distributions	distribution	NOUN
jbi-40	11	30	across	across	ADP
jbi-40	11	31	the	the	DET
jbi-40	11	32	environmental	environmental	ADJ
jbi-40	11	33	spectrum	spectrum	NOUN
jbi-40	11	34	(	(	PUNCT
jbi-40	11	35	guisan	guisan	PROPN
jbi-40	11	36	&	&	CCONJ
jbi-40	11	37	zimmermann	zimmermann	PROPN
jbi-40	11	38	2000	2000	NUM
jbi-40	11	39	)	)	PUNCT
jbi-40	11	40	.	.	PUNCT
jbi-40	12	1	models	model	NOUN
jbi-40	12	2	may	may	AUX
jbi-40	12	3	also	also	ADV
jbi-40	12	4	extrapolate	extrapolate	VERB
jbi-40	12	5	species	specie	NOUN
jbi-40	12	6	’	'	PUNCT
jbi-40	12	7	distributions	distribution	NOUN
jbi-40	12	8	to	to	ADP
jbi-40	12	9	sets	set	NOUN
jbi-40	12	10	of	of	ADP
jbi-40	12	11	environmental	environmental	ADJ
jbi-40	12	12	conditions	condition	NOUN
jbi-40	12	13	outside	outside	ADP
jbi-40	12	14	those	those	PRON
jbi-40	12	15	used	use	VERB
jbi-40	12	16	to	to	PART
jbi-40	12	17	build	build	VERB
jbi-40	12	18	the	the	DET
jbi-40	12	19	models	model	NOUN
jbi-40	12	20	(	(	PUNCT
jbi-40	12	21	peterson	peterson	NOUN
jbi-40	12	22	2003	2003	NUM
jbi-40	12	23	)	)	PUNCT
jbi-40	12	24	.	.	PUNCT
jbi-40	13	1	the	the	DET
jbi-40	13	2	reliability	reliability	NOUN
jbi-40	13	3	of	of	ADP
jbi-40	13	4	these	these	DET
jbi-40	13	5	predictions	prediction	NOUN
jbi-40	13	6	depends	depend	VERB
jbi-40	13	7	on	on	ADP
jbi-40	13	8	many	many	ADJ
jbi-40	13	9	factors	factor	NOUN
jbi-40	13	10	,	,	PUNCT
jbi-40	13	11	but	but	CCONJ
jbi-40	13	12	the	the	DET
jbi-40	13	13	three	three	NUM
jbi-40	13	14	main	main	ADJ
jbi-40	13	15	ones	one	NOUN
jbi-40	13	16	are	be	AUX
jbi-40	13	17	(	(	PUNCT
jbi-40	13	18	1	1	X
jbi-40	13	19	)	)	PUNCT
jbi-40	13	20	quality	quality	NOUN
jbi-40	13	21	of	of	ADP
jbi-40	13	22	data	datum	NOUN
jbi-40	13	23	used	use	VERB
jbi-40	13	24	for	for	ADP
jbi-40	13	25	model	model	NOUN
jbi-40	13	26	calibration	calibration	NOUN
jbi-40	13	27	,	,	PUNCT
jbi-40	13	28	(	(	PUNCT
jbi-40	13	29	2	2	X
jbi-40	13	30	)	)	PUNCT
jbi-40	13	31	predictive	predictive	ADJ
jbi-40	13	32	power	power	NOUN
jbi-40	13	33	of	of	ADP
jbi-40	13	34	the	the	DET
jbi-40	13	35	explanatory	explanatory	ADJ
jbi-40	13	36	variables	variable	NOUN
jbi-40	13	37	,	,	PUNCT
jbi-40	13	38	and	and	CCONJ
jbi-40	13	39	(	(	PUNCT
jbi-40	13	40	3	3	X
jbi-40	13	41	)	)	PUNCT
jbi-40	13	42	the	the	DET
jbi-40	13	43	modeling	modeling	NOUN
jbi-40	13	44	technique	technique	NOUN
jbi-40	13	45	chosen	choose	VERB
jbi-40	13	46	to	to	PART
jbi-40	13	47	produce	produce	VERB
jbi-40	13	48	predictions	prediction	NOUN
jbi-40	13	49	from	from	ADP
jbi-40	13	50	such	such	ADJ
jbi-40	13	51	variables	variable	NOUN
jbi-40	13	52	.	.	PUNCT
jbi-40	14	1	in	in	ADP
jbi-40	14	2	spite	spite	NOUN
jbi-40	14	3	of	of	ADP
jbi-40	14	4	recent	recent	ADJ
jbi-40	14	5	theoretical	theoretical	ADJ
jbi-40	14	6	opinions	opinion	NOUN
jbi-40	14	7	on	on	ADP
jbi-40	14	8	the	the	DET
jbi-40	14	9	errors	error	NOUN
jbi-40	14	10	that	that	PRON
jbi-40	14	11	may	may	AUX
jbi-40	14	12	result	result	VERB
jbi-40	14	13	from	from	ADP
jbi-40	14	14	the	the	DET
jbi-40	14	15	first	first	ADJ
jbi-40	14	16	two	two	NUM
jbi-40	14	17	sources	source	NOUN
jbi-40	14	18	(	(	PUNCT
jbi-40	14	19	soberón	soberón	PROPN
jbi-40	14	20	&	&	CCONJ
jbi-40	14	21	peterson	peterson	PROPN
jbi-40	14	22	2005	2005	NUM
jbi-40	14	23	,	,	PUNCT
jbi-40	14	24	barry	barry	PROPN
jbi-40	14	25	&	&	CCONJ
jbi-40	14	26	elith	elith	ADP
jbi-40	14	27	2006	2006	NUM
jbi-40	14	28	,	,	PUNCT
jbi-40	14	29	araújo	araújo	PROPN
jbi-40	14	30	&	&	CCONJ
jbi-40	14	31	guisan	guisan	PROPN
jbi-40	14	32	2006	2006	NUM
jbi-40	14	33	)	)	PUNCT
jbi-40	14	34	,	,	PUNCT
jbi-40	14	35	little	little	ADJ
jbi-40	14	36	effort	effort	NOUN
jbi-40	14	37	has	have	AUX
jbi-40	14	38	been	be	AUX
jbi-40	14	39	devoted	devote	VERB
jbi-40	14	40	to	to	ADP
jbi-40	14	41	testing	test	VERB
jbi-40	14	42	experimentally	experimentally	ADV
jbi-40	14	43	the	the	DET
jbi-40	14	44	effects	effect	NOUN
jbi-40	14	45	of	of	ADP
jbi-40	14	46	these	these	DET
jbi-40	14	47	factors	factor	NOUN
jbi-40	14	48	on	on	ADP
jbi-40	14	49	the	the	DET
jbi-40	14	50	reliability	reliability	NOUN
jbi-40	14	51	of	of	ADP
jbi-40	14	52	model	model	NOUN
jbi-40	14	53	outputs	output	NOUN
jbi-40	14	54	.	.	PUNCT
jbi-40	15	1	instead	instead	ADV
jbi-40	15	2	,	,	PUNCT
jbi-40	15	3	much	much	ADJ
jbi-40	15	4	effort	effort	NOUN
jbi-40	15	5	has	have	AUX
jbi-40	15	6	been	be	AUX
jbi-40	15	7	devoted	devote	VERB
jbi-40	15	8	to	to	ADP
jbi-40	15	9	comparisons	comparison	NOUN
jbi-40	15	10	of	of	ADP
jbi-40	15	11	the	the	DET
jbi-40	15	12	different	different	ADJ
jbi-40	15	13	available	available	ADJ
jbi-40	15	14	modeling	modeling	NOUN
jbi-40	15	15	techniques	technique	NOUN
jbi-40	15	16	(	(	PUNCT
jbi-40	15	17	brotons	broton	NOUN
jbi-40	15	18	et	et	PROPN
jbi-40	15	19	al	al	PROPN
jbi-40	15	20	.	.	PROPN
jbi-40	15	21	2004	2004	NUM
jbi-40	15	22	,	,	PUNCT
jbi-40	15	23	segurado	segurado	NOUN
jbi-40	15	24	&	&	CCONJ
jbi-40	15	25	araújo	araújo	PROPN
jbi-40	15	26	2004	2004	NUM
jbi-40	15	27	,	,	PUNCT
jbi-40	15	28	pearson	pearson	PROPN
jbi-40	15	29	et	et	PROPN
jbi-40	15	30	al	al	PROPN
jbi-40	15	31	.	.	PROPN
jbi-40	15	32	2006	2006	NUM
jbi-40	15	33	,	,	PUNCT
jbi-40	15	34	and	and	CCONJ
jbi-40	15	35	references	reference	NOUN
jbi-40	15	36	therein	therein	ADV
jbi-40	15	37	)	)	PUNCT
jbi-40	15	38	.	.	PUNCT
jbi-40	16	1	some	some	DET
jbi-40	16	2	recent	recent	ADJ
jbi-40	16	3	papers	paper	NOUN
jbi-40	16	4	(	(	PUNCT
jbi-40	16	5	drake	drake	NOUN
jbi-40	16	6	et	et	PROPN
jbi-40	16	7	al	al	PROPN
jbi-40	16	8	.	.	PROPN
jbi-40	16	9	2006	2006	NUM
jbi-40	16	10	,	,	PUNCT
jbi-40	16	11	elith	elith	ADP
jbi-40	16	12	et	et	PROPN
jbi-40	16	13	al	al	PROPN
jbi-40	16	14	.	.	PROPN
jbi-40	16	15	2006	2006	NUM
jbi-40	16	16	)	)	PUNCT
jbi-40	16	17	suggest	suggest	VERB
jbi-40	16	18	that	that	SCONJ
jbi-40	16	19	certain	certain	ADJ
jbi-40	16	20	newly	newly	ADV
jbi-40	16	21	developed	develop	VERB
jbi-40	16	22	modeling	modeling	NOUN
jbi-40	16	23	techniques	technique	NOUN
jbi-40	16	24	are	be	AUX
jbi-40	16	25	better	well	ADJ
jbi-40	16	26	able	able	ADJ
jbi-40	16	27	to	to	PART
jbi-40	16	28	parametrize	parametrize	VERB
jbi-40	16	29	complex	complex	ADJ
jbi-40	16	30	relationships	relationship	NOUN
jbi-40	16	31	,	,	PUNCT
jbi-40	16	32	producing	produce	VERB
jbi-40	16	33	better	well	ADJ
jbi-40	16	34	distributional	distributional	ADJ
jbi-40	16	35	hypotheses	hypothesis	NOUN
jbi-40	16	36	for	for	ADP
jbi-40	16	37	conservation	conservation	NOUN
jbi-40	16	38	purposes	purpose	NOUN
jbi-40	16	39	.	.	PUNCT
jbi-40	17	1	the	the	DET
jbi-40	17	2	study	study	NOUN
jbi-40	17	3	by	by	ADP
jbi-40	17	4	elith	elith	ADP
jbi-40	17	5	and	and	CCONJ
jbi-40	17	6	collaborators	collaborator	NOUN
jbi-40	17	7	(	(	PUNCT
jbi-40	17	8	2006	2006	NUM
jbi-40	17	9	)	)	PUNCT
jbi-40	17	10	drew	draw	VERB
jbi-40	17	11	especially	especially	ADV
jbi-40	17	12	interesting	interesting	ADJ
jbi-40	17	13	conclusions	conclusion	NOUN
jbi-40	17	14	.	.	PUNCT
jbi-40	18	1	this	this	DET
jbi-40	18	2	research	research	NOUN
jbi-40	18	3	paper	paper	NOUN
jbi-40	18	4	is	be	AUX
jbi-40	18	5	undoubtedly	undoubtedly	ADV
jbi-40	18	6	the	the	DET
jbi-40	18	7	best	good	ADJ
jbi-40	18	8	comparative	comparative	ADJ
jbi-40	18	9	study	study	NOUN
jbi-40	18	10	of	of	ADP
jbi-40	18	11	the	the	DET
jbi-40	18	12	relative	relative	ADJ
jbi-40	18	13	performance	performance	NOUN
jbi-40	18	14	of	of	ADP
jbi-40	18	15	different	different	ADJ
jbi-40	18	16	modeling	modeling	NOUN
jbi-40	18	17	techniques	technique	NOUN
jbi-40	18	18	.	.	PUNCT
jbi-40	19	1	comparing	compare	VERB
jbi-40	19	2	the	the	DET
jbi-40	19	3	reliability	reliability	NOUN
jbi-40	19	4	of	of	ADP
jbi-40	19	5	16	16	NUM
jbi-40	19	6	techniques	technique	NOUN
jbi-40	19	7	,	,	PUNCT
jbi-40	19	8	and	and	CCONJ
jbi-40	19	9	modeling	model	VERB
jbi-40	19	10	226	226	NUM
jbi-40	19	11	species	specie	NOUN
jbi-40	19	12	from	from	ADP
jbi-40	19	13	six	six	NUM
jbi-40	19	14	world	world	NOUN
jbi-40	19	15	regions	region	NOUN
jbi-40	19	16	,	,	PUNCT
jbi-40	19	17	the	the	DET
jbi-40	19	18	researchers	researcher	NOUN
jbi-40	19	19	validated	validate	VERB
jbi-40	19	20	the	the	DET
jbi-40	19	21	predicted	predict	VERB
jbi-40	19	22	distributions	distribution	NOUN
jbi-40	19	23	with	with	ADP
jbi-40	19	24	“	"	PUNCT
jbi-40	19	25	independent	independent	ADJ
jbi-40	19	26	”	"	PUNCT
jbi-40	19	27	and	and	CCONJ
jbi-40	19	28	reliable	reliable	ADJ
jbi-40	19	29	species	species	NOUN
jbi-40	19	30	presence	presence	NOUN
jbi-40	19	31	/	/	SYM
jbi-40	19	32	absence	absence	NOUN
jbi-40	19	33	data	datum	NOUN
jbi-40	19	34	that	that	PRON
jbi-40	19	35	were	be	AUX
jbi-40	19	36	withheld	withhold	VERB
jbi-40	19	37	from	from	ADP
jbi-40	19	38	model	model	NOUN
jbi-40	19	39	building	building	NOUN
jbi-40	19	40	.	.	PUNCT
jbi-40	20	1	as	as	SCONJ
jbi-40	20	2	distribution	distribution	NOUN
jbi-40	20	3	models	model	NOUN
jbi-40	20	4	were	be	AUX
jbi-40	20	5	derived	derive	VERB
jbi-40	20	6	from	from	ADP
jbi-40	20	7	both	both	PRON
jbi-40	20	8	presence	presence	NOUN
jbi-40	20	9	and	and	CCONJ
jbi-40	20	10	presence	presence	NOUN
jbi-40	20	11	-	-	PUNCT
jbi-40	20	12	pseudo	pseudo	NOUN
jbi-40	20	13	absence	absence	NOUN
jbi-40	20	14	data	datum	NOUN
jbi-40	20	15	,	,	PUNCT
jbi-40	20	16	with	with	ADP
jbi-40	20	17	absences	absence	NOUN
jbi-40	20	18	randomly	randomly	ADV
jbi-40	20	19	distributed	distribute	VERB
jbi-40	20	20	throughout	throughout	ADP
jbi-40	20	21	the	the	DET
jbi-40	20	22	territory	territory	NOUN
jbi-40	20	23	considered	consider	VERB
jbi-40	20	24	,	,	PUNCT
jbi-40	20	25	results	result	NOUN
jbi-40	20	26	illustrate	illustrate	VERB
jbi-40	20	27	the	the	DET
jbi-40	20	28	potential	potential	NOUN
jbi-40	20	29	of	of	ADP
jbi-40	20	30	existing	exist	VERB
jbi-40	20	31	techniques	technique	NOUN
jbi-40	20	32	applied	apply	VERB
jbi-40	20	33	to	to	ADP
jbi-40	20	34	widely	widely	ADV
jbi-40	20	35	available	available	ADJ
jbi-40	20	36	information	information	NOUN
jbi-40	20	37	.	.	PUNCT
jbi-40	21	1	this	this	DET
jbi-40	21	2	short	short	ADJ
jbi-40	21	3	paper	paper	NOUN
jbi-40	21	4	is	be	AUX
jbi-40	21	5	designed	design	VERB
jbi-40	21	6	to	to	PART
jbi-40	21	7	illustrate	illustrate	VERB
jbi-40	21	8	the	the	DET
jbi-40	21	9	shortcomings	shortcoming	NOUN
jbi-40	21	10	of	of	ADP
jbi-40	21	11	the	the	DET
jbi-40	21	12	model	model	NOUN
jbi-40	21	13	comparison	comparison	NOUN
jbi-40	21	14	approach	approach	NOUN
jbi-40	21	15	in	in	ADP
jbi-40	21	16	improving	improve	VERB
jbi-40	21	17	the	the	DET
jbi-40	21	18	results	result	NOUN
jbi-40	21	19	of	of	ADP
jbi-40	21	20	predictive	predictive	ADJ
jbi-40	21	21	models	model	NOUN
jbi-40	21	22	of	of	ADP
jbi-40	21	23	species	specie	NOUN
jbi-40	21	24	’	'	PUNCT
jbi-40	21	25	distributions	distribution	NOUN
jbi-40	21	26	:	:	PUNCT
jbi-40	21	27	improvements	improvement	NOUN
jbi-40	21	28	in	in	ADP
jbi-40	21	29	the	the	DET
jbi-40	21	30	biological	biological	ADJ
jbi-40	21	31	occurrence	occurrence	NOUN
jbi-40	21	32	data	datum	NOUN
jbi-40	21	33	may	may	AUX
jbi-40	21	34	provide	provide	VERB
jbi-40	21	35	more	more	ADV
jbi-40	21	36	important	important	ADJ
jbi-40	21	37	advances	advance	NOUN
jbi-40	21	38	than	than	ADP
jbi-40	21	39	a	a	DET
jbi-40	21	40	more	more	ADV
jbi-40	21	41	complex	complex	ADJ
jbi-40	21	42	modeling	modeling	NOUN
jbi-40	21	43	approach	approach	NOUN
jbi-40	21	44	.	.	PUNCT
jbi-40	22	1	enough	enough	ADJ
jbi-40	22	2	accuracy	accuracy	NOUN
jbi-40	22	3	for	for	ADP
jbi-40	22	4	conservation	conservation	NOUN
jbi-40	22	5	?	?	PUNCT
jbi-40	23	1	unfortunately	unfortunately	ADV
jbi-40	23	2	,	,	PUNCT
jbi-40	23	3	in	in	ADP
jbi-40	23	4	the	the	DET
jbi-40	23	5	study	study	NOUN
jbi-40	23	6	by	by	ADP
jbi-40	23	7	elith	elith	ADP
jbi-40	23	8	and	and	CCONJ
jbi-40	23	9	collaborators	collaborator	NOUN
jbi-40	23	10	(	(	PUNCT
jbi-40	23	11	elith	elith	ADP
jbi-40	23	12	et	et	PROPN
jbi-40	23	13	al	al	PROPN
jbi-40	23	14	.	.	PROPN
jbi-40	23	15	2006	2006	NUM
jbi-40	23	16	)	)	PUNCT
jbi-40	23	17	,	,	PUNCT
jbi-40	23	18	maximum	maximum	ADJ
jbi-40	23	19	mean	mean	NOUN
jbi-40	23	20	scores	score	NOUN
jbi-40	23	21	of	of	ADP
jbi-40	23	22	the	the	DET
jbi-40	23	23	area	area	NOUN
jbi-40	23	24	under	under	ADP
jbi-40	23	25	the	the	DET
jbi-40	23	26	receiver	receiver	NOUN
jbi-40	23	27	operating	operate	VERB
jbi-40	23	28	characteristic	characteristic	ADJ
jbi-40	23	29	curve	curve	NOUN
jbi-40	23	30	(	(	PUNCT
jbi-40	23	31	auc	auc	NOUN
jbi-40	23	32	)	)	PUNCT
jbi-40	23	33	,	,	PUNCT
jbi-40	23	34	a	a	DET
jbi-40	23	35	measure	measure	NOUN
jbi-40	23	36	of	of	ADP
jbi-40	23	37	predictive	predictive	ADJ
jbi-40	23	38	accuracy	accuracy	NOUN
jbi-40	23	39	,	,	PUNCT
jbi-40	23	40	do	do	AUX
jbi-40	23	41	not	not	PART
jbi-40	23	42	surpass	surpass	VERB
jbi-40	23	43	0.82	0.82	NUM
jbi-40	23	44	(	(	PUNCT
jbi-40	23	45	mean	mean	INTJ
jbi-40	23	46	auc	auc	ADJ
jbi-40	23	47	score	score	NOUN
jbi-40	23	48	around	around	ADP
jbi-40	23	49	0.70	0.70	NUM
jbi-40	23	50	for	for	ADP
jbi-40	23	51	most	most	ADJ
jbi-40	23	52	species	specie	NOUN
jbi-40	23	53	and	and	CCONJ
jbi-40	23	54	types	type	NOUN
jbi-40	23	55	of	of	ADP
jbi-40	23	56	models	model	NOUN
jbi-40	23	57	)	)	PUNCT
jbi-40	23	58	.	.	PUNCT
jbi-40	24	1	average	average	ADJ
jbi-40	24	2	auc	auc	NOUN
jbi-40	24	3	score	score	NOUN
jbi-40	24	4	for	for	ADP
jbi-40	24	5	the	the	DET
jbi-40	24	6	modeling	modeling	NOUN
jbi-40	24	7	technique	technique	NOUN
jbi-40	24	8	with	with	ADP
jbi-40	24	9	the	the	DET
jbi-40	24	10	best	good	ADJ
jbi-40	24	11	predictions	prediction	NOUN
jbi-40	24	12	for	for	ADP
jbi-40	24	13	all	all	DET
jbi-40	24	14	regions	region	NOUN
jbi-40	24	15	lobo	lobo	NOUN
jbi-40	24	16	–	–	PUNCT
jbi-40	24	17	more	more	ADJ
jbi-40	24	18	complex	complex	ADJ
jbi-40	24	19	models	model	NOUN
jbi-40	24	20	or	or	CCONJ
jbi-40	24	21	representative	representative	ADJ
jbi-40	24	22	data	datum	NOUN
jbi-40	24	23	?	?	PUNCT
jbi-40	25	1	15	15	NUM
jbi-40	25	2	was	be	AUX
jbi-40	25	3	0.73	0.73	NUM
jbi-40	25	4	.	.	PUNCT
jbi-40	26	1	the	the	DET
jbi-40	26	2	average	average	ADJ
jbi-40	26	3	auc	auc	NOUN
jbi-40	26	4	score	score	NOUN
jbi-40	26	5	in	in	ADP
jbi-40	26	6	the	the	DET
jbi-40	26	7	study	study	NOUN
jbi-40	26	8	of	of	ADP
jbi-40	26	9	drake	drake	NOUN
jbi-40	26	10	and	and	CCONJ
jbi-40	26	11	collaborators	collaborator	NOUN
jbi-40	26	12	is	be	AUX
jbi-40	26	13	similar	similar	ADJ
jbi-40	26	14	(	(	PUNCT
jbi-40	26	15	0.79	0.79	NUM
jbi-40	26	16	)	)	PUNCT
jbi-40	26	17	.	.	PUNCT
jbi-40	27	1	let	let	VERB
jbi-40	27	2	us	we	PRON
jbi-40	27	3	suppose	suppose	VERB
jbi-40	27	4	that	that	SCONJ
jbi-40	27	5	we	we	PRON
jbi-40	27	6	obtain	obtain	VERB
jbi-40	27	7	an	an	DET
jbi-40	27	8	auc	auc	ADJ
jbi-40	27	9	score	score	NOUN
jbi-40	27	10	of	of	ADP
jbi-40	27	11	0.82	0.82	NUM
jbi-40	27	12	for	for	ADP
jbi-40	27	13	a	a	DET
jbi-40	27	14	model	model	NOUN
jbi-40	27	15	accomplished	accomplish	VERB
jbi-40	27	16	at	at	ADP
jbi-40	27	17	a	a	DET
jbi-40	27	18	100	100	NUM
jbi-40	27	19	x	x	SYM
jbi-40	27	20	100	100	NUM
jbi-40	27	21	m	m	NOUN
jbi-40	27	22	resolution	resolution	NOUN
jbi-40	27	23	in	in	ADP
jbi-40	27	24	switzerland	switzerland	PROPN
jbi-40	27	25	(	(	PUNCT
jbi-40	27	26	41.290	41.290	NUM
jbi-40	27	27	km2	km2	NUM
jbi-40	27	28	or	or	CCONJ
jbi-40	27	29	4.129.000	4.129.000	NUM
jbi-40	27	30	pixels	pixel	NOUN
jbi-40	27	31	)	)	PUNCT
jbi-40	27	32	,	,	PUNCT
jbi-40	27	33	using	use	VERB
jbi-40	27	34	for	for	ADP
jbi-40	27	35	that	that	DET
jbi-40	27	36	6000	6000	NUM
jbi-40	27	37	presence	presence	NOUN
jbi-40	27	38	points	point	NOUN
jbi-40	27	39	(	(	PUNCT
jbi-40	27	40	similar	similar	ADJ
jbi-40	27	41	conditions	condition	NOUN
jbi-40	27	42	to	to	ADP
jbi-40	27	43	those	those	PRON
jbi-40	27	44	of	of	ADP
jbi-40	27	45	the	the	DET
jbi-40	27	46	best	good	ADJ
jbi-40	27	47	model	model	NOUN
jbi-40	27	48	in	in	ADP
jbi-40	27	49	the	the	DET
jbi-40	27	50	elith	elith	NOUN
jbi-40	27	51	et	et	PROPN
jbi-40	27	52	al	al	PROPN
jbi-40	27	53	.	.	PROPN
jbi-40	27	54	study	study	PROPN
jbi-40	27	55	)	)	PUNCT
jbi-40	27	56	.	.	PUNCT
jbi-40	28	1	for	for	ADP
jbi-40	28	2	an	an	DET
jbi-40	28	3	auc	auc	ADJ
jbi-40	28	4	score	score	NOUN
jbi-40	28	5	like	like	ADP
jbi-40	28	6	this	this	PRON
jbi-40	28	7	it	it	PRON
jbi-40	28	8	is	be	AUX
jbi-40	28	9	exceptional	exceptional	ADJ
jbi-40	28	10	to	to	PART
jbi-40	28	11	obtain	obtain	VERB
jbi-40	28	12	an	an	DET
jbi-40	28	13	outstanding	outstanding	ADJ
jbi-40	28	14	specificity	specificity	NOUN
jbi-40	28	15	score	score	NOUN
jbi-40	28	16	of	of	ADP
jbi-40	28	17	0.99	0.99	NUM
jbi-40	28	18	(	(	PUNCT
jbi-40	28	19	99	99	NUM
jbi-40	28	20	%	%	NOUN
jbi-40	28	21	of	of	ADP
jbi-40	28	22	absences	absence	NOUN
jbi-40	28	23	correctly	correctly	ADV
jbi-40	28	24	predicted	predict	VERB
jbi-40	28	25	)	)	PUNCT
jbi-40	28	26	,	,	PUNCT
jbi-40	28	27	but	but	CCONJ
jbi-40	28	28	even	even	ADV
jbi-40	28	29	in	in	ADP
jbi-40	28	30	this	this	DET
jbi-40	28	31	case	case	NOUN
jbi-40	28	32	41,230	41,230	NUM
jbi-40	28	33	pixels	pixel	NOUN
jbi-40	28	34	were	be	AUX
jbi-40	28	35	erroneously	erroneously	ADV
jbi-40	28	36	ascribed	ascribe	VERB
jbi-40	28	37	as	as	ADP
jbi-40	28	38	presences	presence	NOUN
jbi-40	28	39	(	(	PUNCT
jbi-40	28	40	4.123.000	4.123.000	NUM
jbi-40	28	41	absence	absence	NOUN
jbi-40	28	42	pixels	pixel	NOUN
jbi-40	28	43	x	x	NOUN
jbi-40	28	44	0.01	0.01	NUM
jbi-40	28	45	)	)	PUNCT
jbi-40	28	46	;	;	PUNCT
jbi-40	28	47	a	a	DET
jbi-40	28	48	predicted	predict	VERB
jbi-40	28	49	area	area	NOUN
jbi-40	28	50	almost	almost	ADV
jbi-40	28	51	7fold	7fold	NUM
jbi-40	28	52	larger	large	ADJ
jbi-40	28	53	(	(	PUNCT
jbi-40	28	54	413	413	NUM
jbi-40	28	55	km2	km2	NOUN
jbi-40	28	56	)	)	PUNCT
jbi-40	28	57	than	than	ADP
jbi-40	28	58	the	the	DET
jbi-40	28	59	observed	observed	ADJ
jbi-40	28	60	one	one	NUM
jbi-40	28	61	(	(	PUNCT
jbi-40	28	62	60	60	NUM
jbi-40	28	63	km2	km2	NUM
jbi-40	28	64	)	)	PUNCT
jbi-40	28	65	.	.	PUNCT
jbi-40	29	1	hence	hence	ADV
jbi-40	29	2	,	,	PUNCT
jbi-40	29	3	the	the	DET
jbi-40	29	4	usefulness	usefulness	NOUN
jbi-40	29	5	for	for	ADP
jbi-40	29	6	conservation	conservation	NOUN
jbi-40	29	7	of	of	ADP
jbi-40	29	8	even	even	ADV
jbi-40	29	9	the	the	DET
jbi-40	29	10	best	good	ADJ
jbi-40	29	11	models	model	NOUN
jbi-40	29	12	identified	identify	VERB
jbi-40	29	13	by	by	ADP
jbi-40	29	14	these	these	DET
jbi-40	29	15	studies	study	NOUN
jbi-40	29	16	is	be	AUX
jbi-40	29	17	questionable	questionable	ADJ
jbi-40	29	18	.	.	PUNCT
jbi-40	30	1	should	should	AUX
jbi-40	30	2	we	we	PRON
jbi-40	30	3	prioritize	prioritize	VERB
jbi-40	30	4	the	the	DET
jbi-40	30	5	use	use	NOUN
jbi-40	30	6	of	of	ADP
jbi-40	30	7	such	such	ADJ
jbi-40	30	8	techniques	technique	NOUN
jbi-40	30	9	,	,	PUNCT
jbi-40	30	10	or	or	CCONJ
jbi-40	30	11	search	search	VERB
jbi-40	30	12	for	for	ADP
jbi-40	30	13	others	other	NOUN
jbi-40	30	14	that	that	PRON
jbi-40	30	15	are	be	AUX
jbi-40	30	16	still	still	ADV
jbi-40	30	17	more	more	ADV
jbi-40	30	18	sophisticated	sophisticated	ADJ
jbi-40	30	19	?	?	PUNCT
jbi-40	31	1	an	an	DET
jbi-40	31	2	example	example	NOUN
jbi-40	31	3	although	although	SCONJ
jbi-40	31	4	biologists	biologist	NOUN
jbi-40	31	5	may	may	AUX
jbi-40	31	6	know	know	VERB
jbi-40	31	7	the	the	DET
jbi-40	31	8	places	place	NOUN
jbi-40	31	9	in	in	ADP
jbi-40	31	10	which	which	PRON
jbi-40	31	11	a	a	DET
jbi-40	31	12	species	species	NOUN
jbi-40	31	13	is	be	AUX
jbi-40	31	14	unlikely	unlikely	ADJ
jbi-40	31	15	to	to	PART
jbi-40	31	16	be	be	AUX
jbi-40	31	17	observed	observe	VERB
jbi-40	31	18	(	(	PUNCT
jbi-40	31	19	e.g.	e.g.	ADV
jbi-40	31	20	,	,	PUNCT
jbi-40	31	21	species	specie	NOUN
jbi-40	31	22	not	not	PART
jbi-40	31	23	detected	detect	VERB
jbi-40	31	24	at	at	ADP
jbi-40	31	25	a	a	DET
jbi-40	31	26	locality	locality	NOUN
jbi-40	31	27	after	after	ADP
jbi-40	31	28	intense	intense	ADJ
jbi-40	31	29	sampling	sampling	NOUN
jbi-40	31	30	)	)	PUNCT
jbi-40	31	31	,	,	PUNCT
jbi-40	31	32	such	such	ADJ
jbi-40	31	33	data	datum	NOUN
jbi-40	31	34	are	be	AUX
jbi-40	31	35	not	not	PART
jbi-40	31	36	usually	usually	ADV
jbi-40	31	37	published	publish	VERB
jbi-40	31	38	.	.	PUNCT
jbi-40	32	1	thus	thus	ADV
jbi-40	32	2	,	,	PUNCT
jbi-40	32	3	despite	despite	SCONJ
jbi-40	32	4	the	the	DET
jbi-40	32	5	potential	potential	ADJ
jbi-40	32	6	usefulness	usefulness	NOUN
jbi-40	32	7	of	of	ADP
jbi-40	32	8	relatively	relatively	ADV
jbi-40	32	9	reliable	reliable	ADJ
jbi-40	32	10	absence	absence	NOUN
jbi-40	32	11	data	datum	NOUN
jbi-40	32	12	,	,	PUNCT
jbi-40	32	13	such	such	ADJ
jbi-40	32	14	information	information	NOUN
jbi-40	32	15	is	be	AUX
jbi-40	32	16	generally	generally	ADV
jbi-40	32	17	not	not	PART
jbi-40	32	18	available	available	ADJ
jbi-40	32	19	.	.	PUNCT
jbi-40	33	1	random	random	ADJ
jbi-40	33	2	selection	selection	NOUN
jbi-40	33	3	of	of	ADP
jbi-40	33	4	absences	absence	NOUN
jbi-40	33	5	,	,	PUNCT
jbi-40	33	6	a	a	DET
jbi-40	33	7	crude	crude	ADJ
jbi-40	33	8	approach	approach	NOUN
jbi-40	33	9	,	,	PUNCT
jbi-40	33	10	may	may	AUX
jbi-40	33	11	introduce	introduce	VERB
jbi-40	33	12	an	an	DET
jbi-40	33	13	indeterminate	indeterminate	ADJ
jbi-40	33	14	number	number	NOUN
jbi-40	33	15	of	of	ADP
jbi-40	33	16	false	false	ADJ
jbi-40	33	17	absences	absence	NOUN
jbi-40	33	18	into	into	ADP
jbi-40	33	19	models	model	NOUN
jbi-40	33	20	owing	owe	VERB
jbi-40	33	21	to	to	ADP
jbi-40	33	22	the	the	DET
jbi-40	33	23	all	all	ADV
jbi-40	33	24	-	-	PUNCT
jbi-40	33	25	too	too	ADV
jbi-40	33	26	-	-	PUNCT
jbi-40	33	27	frequent	frequent	ADJ
jbi-40	33	28	sampling	sampling	NOUN
jbi-40	33	29	biases	bias	NOUN
jbi-40	33	30	in	in	ADP
jbi-40	33	31	biological	biological	ADJ
jbi-40	33	32	information	information	NOUN
jbi-40	33	33	(	(	PUNCT
jbi-40	33	34	see	see	VERB
jbi-40	33	35	dennis	dennis	PROPN
jbi-40	33	36	et	et	PROPN
jbi-40	33	37	al	al	PROPN
jbi-40	33	38	.	.	PROPN
jbi-40	33	39	1999	1999	NUM
jbi-40	33	40	,	,	PUNCT
jbi-40	33	41	dennis	dennis	PROPN
jbi-40	33	42	&	&	CCONJ
jbi-40	33	43	thomas	thomas	PROPN
jbi-40	33	44	2000	2000	NUM
jbi-40	33	45	,	,	PUNCT
jbi-40	33	46	zaniewski	zaniewski	PROPN
jbi-40	33	47	et	et	PROPN
jbi-40	33	48	al	al	PROPN
jbi-40	33	49	.	.	PROPN
jbi-40	33	50	2002	2002	NUM
jbi-40	33	51	,	,	PUNCT
jbi-40	33	52	reutter	reutter	NOUN
jbi-40	33	53	et	et	PROPN
jbi-40	33	54	al	al	PROPN
jbi-40	33	55	.	.	PROPN
jbi-40	33	56	2003	2003	NUM
jbi-40	33	57	,	,	PUNCT
jbi-40	33	58	graham	graham	PROPN
jbi-40	33	59	et	et	PROPN
jbi-40	33	60	al	al	PROPN
jbi-40	33	61	.	.	PROPN
jbi-40	33	62	2004	2004	NUM
jbi-40	33	63	,	,	PUNCT
jbi-40	33	64	martínez	martínez	PROPN
jbi-40	33	65	-	-	PUNCT
jbi-40	33	66	meyer	meyer	PROPN
jbi-40	33	67	2005	2005	NUM
jbi-40	33	68	)	)	PUNCT
jbi-40	33	69	.	.	PUNCT
jbi-40	34	1	the	the	DET
jbi-40	34	2	influence	influence	NOUN
jbi-40	34	3	of	of	ADP
jbi-40	34	4	random	random	ADJ
jbi-40	34	5	selection	selection	NOUN
jbi-40	34	6	of	of	ADP
jbi-40	34	7	absences	absence	NOUN
jbi-40	34	8	on	on	ADP
jbi-40	34	9	distribution	distribution	NOUN
jbi-40	34	10	models	model	NOUN
jbi-40	34	11	was	be	AUX
jbi-40	34	12	illustrated	illustrate	VERB
jbi-40	34	13	for	for	ADP
jbi-40	34	14	a	a	DET
jbi-40	34	15	large	large	ADJ
jbi-40	34	16	iberian	iberian	ADJ
jbi-40	34	17	dung	dung	NOUN
jbi-40	34	18	beetle	beetle	NOUN
jbi-40	34	19	species	specie	NOUN
jbi-40	34	20	(	(	PUNCT
jbi-40	34	21	copris	copris	PROPN
jbi-40	34	22	hispanus	hispanus	PROPN
jbi-40	34	23	)	)	PUNCT
jbi-40	34	24	that	that	PRON
jbi-40	34	25	occurs	occur	VERB
jbi-40	34	26	mainly	mainly	ADV
jbi-40	34	27	in	in	ADP
jbi-40	34	28	the	the	DET
jbi-40	34	29	southern	southern	ADJ
jbi-40	34	30	half	half	NOUN
jbi-40	34	31	of	of	ADP
jbi-40	34	32	the	the	DET
jbi-40	34	33	iberian	iberian	ADJ
jbi-40	34	34	peninsula	peninsula	NOUN
jbi-40	34	35	.	.	PUNCT
jbi-40	35	1	using	use	VERB
jbi-40	35	2	an	an	DET
jbi-40	35	3	exhaustive	exhaustive	ADJ
jbi-40	35	4	compilation	compilation	NOUN
jbi-40	35	5	of	of	ADP
jbi-40	35	6	all	all	DET
jbi-40	35	7	available	available	ADJ
jbi-40	35	8	occurrence	occurrence	NOUN
jbi-40	35	9	information	information	NOUN
jbi-40	35	10	regarding	regard	VERB
jbi-40	35	11	iberian	iberian	ADJ
jbi-40	35	12	dung	dung	NOUN
jbi-40	35	13	beetles	beetle	NOUN
jbi-40	35	14	(	(	PUNCT
jbi-40	35	15	54	54	NUM
jbi-40	35	16	species	specie	NOUN
jbi-40	35	17	,	,	PUNCT
jbi-40	35	18	15,924	15,924	NUM
jbi-40	35	19	database	database	NOUN
jbi-40	35	20	records	record	NOUN
jbi-40	35	21	)	)	PUNCT
jbi-40	35	22	,	,	PUNCT
jbi-40	35	23	i	i	PRON
jbi-40	35	24	first	first	ADV
jbi-40	35	25	used	use	VERB
jbi-40	35	26	accumulation	accumulation	NOUN
jbi-40	35	27	curves	curve	NOUN
jbi-40	35	28	to	to	PART
jbi-40	35	29	select	select	VERB
jbi-40	35	30	reliably	reliably	ADV
jbi-40	35	31	inventoried	inventorie	VERB
jbi-40	35	32	50	50	NUM
jbi-40	35	33	x	x	SYM
jbi-40	35	34	50	50	NUM
jbi-40	35	35	km	km	NOUN
jbi-40	35	36	utm	utm	ADJ
jbi-40	35	37	cells	cell	NOUN
jbi-40	35	38	.	.	PUNCT
jbi-40	36	1	for	for	ADP
jbi-40	36	2	each	each	DET
jbi-40	36	3	cell	cell	NOUN
jbi-40	36	4	,	,	PUNCT
jbi-40	36	5	i	i	PRON
jbi-40	36	6	examined	examine	VERB
jbi-40	36	7	the	the	DET
jbi-40	36	8	number	number	NOUN
jbi-40	36	9	of	of	ADP
jbi-40	36	10	species	specie	NOUN
jbi-40	36	11	accumulated	accumulate	VERB
jbi-40	36	12	with	with	ADP
jbi-40	36	13	the	the	DET
jbi-40	36	14	increase	increase	NOUN
jbi-40	36	15	in	in	ADP
jbi-40	36	16	the	the	DET
jbi-40	36	17	number	number	NOUN
jbi-40	36	18	of	of	ADP
jbi-40	36	19	database	database	NOUN
jbi-40	36	20	records	record	NOUN
jbi-40	36	21	(	(	PUNCT
jbi-40	36	22	an	an	DET
jbi-40	36	23	effective	effective	ADJ
jbi-40	36	24	surrogate	surrogate	NOUN
jbi-40	36	25	of	of	ADP
jbi-40	36	26	the	the	DET
jbi-40	36	27	sampling	sample	VERB
jbi-40	36	28	effort	effort	NOUN
jbi-40	36	29	carried	carry	VERB
jbi-40	36	30	out	out	ADP
jbi-40	36	31	in	in	ADP
jbi-40	36	32	each	each	DET
jbi-40	36	33	cell	cell	NOUN
jbi-40	36	34	,	,	PUNCT
jbi-40	36	35	see	see	VERB
jbi-40	36	36	hortal	hortal	ADJ
jbi-40	36	37	et	et	PROPN
jbi-40	36	38	al	al	PROPN
jbi-40	36	39	.	.	PROPN
jbi-40	36	40	2006	2006	NUM
jbi-40	36	41	)	)	PUNCT
jbi-40	36	42	.	.	PUNCT
jbi-40	37	1	each	each	DET
jbi-40	37	2	curve	curve	NOUN
jbi-40	37	3	was	be	AUX
jbi-40	37	4	estimated	estimate	VERB
jbi-40	37	5	100	100	NUM
jbi-40	37	6	times	time	NOUN
jbi-40	37	7	,	,	PUNCT
jbi-40	37	8	randomizing	randomize	VERB
jbi-40	37	9	the	the	DET
jbi-40	37	10	entry	entry	NOUN
jbi-40	37	11	order	order	NOUN
jbi-40	37	12	of	of	ADP
jbi-40	37	13	the	the	DET
jbi-40	37	14	database	database	NOUN
jbi-40	37	15	records	record	VERB
jbi-40	37	16	to	to	PART
jbi-40	37	17	smooth	smooth	VERB
jbi-40	37	18	the	the	DET
jbi-40	37	19	curve	curve	NOUN
jbi-40	37	20	,	,	PUNCT
jbi-40	37	21	and	and	CCONJ
jbi-40	37	22	subsequently	subsequently	ADV
jbi-40	37	23	fitted	fit	VERB
jbi-40	37	24	to	to	ADP
jbi-40	37	25	the	the	DET
jbi-40	37	26	clench	clench	NOUN
jbi-40	37	27	function	function	NOUN
jbi-40	37	28	(	(	PUNCT
jbi-40	37	29	colwell	colwell	PROPN
jbi-40	37	30	&	&	CCONJ
jbi-40	37	31	coddington	coddington	PROPN
jbi-40	37	32	1994	1994	NUM
jbi-40	37	33	,	,	PUNCT
jbi-40	37	34	soberón	soberón	PROPN
jbi-40	37	35	&	&	CCONJ
jbi-40	37	36	llorente	llorente	PROPN
jbi-40	37	37	1993	1993	NUM
jbi-40	37	38	)	)	PUNCT
jbi-40	37	39	to	to	PART
jbi-40	37	40	estimate	estimate	VERB
jbi-40	37	41	the	the	DET
jbi-40	37	42	asymptotic	asymptotic	ADJ
jbi-40	37	43	value	value	NOUN
jbi-40	37	44	(	(	PUNCT
jbi-40	37	45	i.e.	i.e.	X
jbi-40	37	46	the	the	DET
jbi-40	37	47	estimated	estimate	VERB
jbi-40	37	48	total	total	ADJ
jbi-40	37	49	richness	richness	NOUN
jbi-40	37	50	score	score	NOUN
jbi-40	37	51	for	for	ADP
jbi-40	37	52	an	an	DET
jbi-40	37	53	unlimited	unlimited	ADJ
jbi-40	37	54	number	number	NOUN
jbi-40	37	55	of	of	ADP
jbi-40	37	56	samples	sample	NOUN
jbi-40	37	57	)	)	PUNCT
jbi-40	37	58	.	.	PUNCT
jbi-40	38	1	the	the	DET
jbi-40	38	2	adequately	adequately	ADV
jbi-40	38	3	-	-	PUNCT
jbi-40	38	4	inventoried	inventorie	VERB
jbi-40	38	5	utm	utm	PROPN
jbi-40	38	6	cells	cell	NOUN
jbi-40	38	7	were	be	AUX
jbi-40	38	8	defined	define	VERB
jbi-40	38	9	as	as	ADP
jbi-40	38	10	those	those	PRON
jbi-40	38	11	with	with	ADP
jbi-40	38	12	observed	observed	ADJ
jbi-40	38	13	species	specie	NOUN
jbi-40	38	14	richness	richness	NOUN
jbi-40	38	15	of	of	ADP
jbi-40	38	16	>	>	PUNCT
jbi-40	38	17	80	80	NUM
jbi-40	38	18	%	%	NOUN
jbi-40	38	19	of	of	ADP
jbi-40	38	20	the	the	DET
jbi-40	38	21	asymptotic	asymptotic	ADJ
jbi-40	38	22	predicted	predict	VERB
jbi-40	38	23	scores	score	NOUN
jbi-40	38	24	.	.	PUNCT
jbi-40	39	1	all	all	PRON
jbi-40	39	2	of	of	ADP
jbi-40	39	3	the	the	DET
jbi-40	39	4	100	100	NUM
jbi-40	39	5	km2	km2	NOUN
jbi-40	39	6	utm	utm	PROPN
jbi-40	39	7	cells	cell	NOUN
jbi-40	39	8	belonging	belong	VERB
jbi-40	39	9	to	to	ADP
jbi-40	39	10	the	the	DET
jbi-40	39	11	2500	2500	NUM
jbi-40	39	12	km2	km2	NOUN
jbi-40	39	13	well	well	ADV
jbi-40	39	14	-	-	PUNCT
jbi-40	39	15	surveyed	survey	VERB
jbi-40	39	16	cells	cell	NOUN
jbi-40	39	17	at	at	ADP
jbi-40	39	18	which	which	PRON
jbi-40	39	19	c.	c.	PROPN
jbi-40	39	20	hispanus	hispanus	PROPN
jbi-40	39	21	had	have	AUX
jbi-40	39	22	not	not	PART
jbi-40	39	23	been	be	AUX
jbi-40	39	24	detected	detect	VERB
jbi-40	39	25	were	be	AUX
jbi-40	39	26	considered	consider	VERB
jbi-40	39	27	as	as	ADP
jbi-40	39	28	true	true	ADJ
jbi-40	39	29	absences	absence	NOUN
jbi-40	39	30	.	.	PUNCT
jbi-40	40	1	forty	forty	NUM
jbi-40	40	2	-	-	PUNCT
jbi-40	40	3	seven	seven	NUM
jbi-40	40	4	presence	presence	NOUN
jbi-40	40	5	points	point	NOUN
jbi-40	40	6	and	and	CCONJ
jbi-40	40	7	an	an	DET
jbi-40	40	8	equal	equal	ADJ
jbi-40	40	9	number	number	NOUN
jbi-40	40	10	of	of	ADP
jbi-40	40	11	absences	absence	NOUN
jbi-40	40	12	were	be	AUX
jbi-40	40	13	selected	select	VERB
jbi-40	40	14	:	:	PUNCT
jbi-40	40	15	(	(	PUNCT
jbi-40	40	16	1	1	X
jbi-40	40	17	)	)	PUNCT
jbi-40	40	18	at	at	ADP
jbi-40	40	19	random	random	ADJ
jbi-40	40	20	from	from	ADP
jbi-40	40	21	all	all	DET
jbi-40	40	22	cells	cell	NOUN
jbi-40	40	23	lacking	lack	VERB
jbi-40	40	24	presence	presence	NOUN
jbi-40	40	25	or	or	CCONJ
jbi-40	40	26	(	(	PUNCT
jbi-40	40	27	2	2	NUM
jbi-40	40	28	)	)	PUNCT
jbi-40	40	29	from	from	ADP
jbi-40	40	30	the	the	DET
jbi-40	40	31	cells	cell	NOUN
jbi-40	40	32	considered	consider	VERB
jbi-40	40	33	to	to	PART
jbi-40	40	34	be	be	AUX
jbi-40	40	35	true	true	ADJ
jbi-40	40	36	absences	absence	NOUN
jbi-40	40	37	,	,	PUNCT
jbi-40	40	38	and	and	CCONJ
jbi-40	40	39	were	be	AUX
jbi-40	40	40	modeled	model	VERB
jbi-40	40	41	via	via	ADP
jbi-40	40	42	a	a	DET
jbi-40	40	43	widely	widely	ADV
jbi-40	40	44	-	-	PUNCT
jbi-40	40	45	accepted	accept	VERB
jbi-40	40	46	prediction	prediction	NOUN
jbi-40	40	47	technique	technique	NOUN
jbi-40	40	48	(	(	PUNCT
jbi-40	40	49	gams	gams	PROPN
jbi-40	40	50	)	)	PUNCT
jbi-40	40	51	.	.	PUNCT
jbi-40	41	1	the	the	DET
jbi-40	41	2	model	model	NOUN
jbi-40	41	3	used	use	VERB
jbi-40	41	4	9	9	NUM
jbi-40	41	5	climatic	climatic	ADJ
jbi-40	41	6	and	and	CCONJ
jbi-40	41	7	lithological	lithological	ADJ
jbi-40	41	8	variables	variable	NOUN
jbi-40	41	9	as	as	ADP
jbi-40	41	10	predictors	predictor	NOUN
jbi-40	41	11	(	(	PUNCT
jbi-40	41	12	total	total	ADJ
jbi-40	41	13	annual	annual	ADJ
jbi-40	41	14	precipitation	precipitation	NOUN
jbi-40	41	15	,	,	PUNCT
jbi-40	41	16	rainfall	rainfall	NOUN
jbi-40	41	17	during	during	ADP
jbi-40	41	18	summer	summer	NOUN
jbi-40	41	19	months	month	NOUN
jbi-40	41	20	,	,	PUNCT
jbi-40	41	21	yearly	yearly	ADJ
jbi-40	41	22	mean	mean	NOUN
jbi-40	41	23	temperature	temperature	NOUN
jbi-40	41	24	,	,	PUNCT
jbi-40	41	25	minimum	minimum	ADJ
jbi-40	41	26	annual	annual	ADJ
jbi-40	41	27	temperature	temperature	NOUN
jbi-40	41	28	,	,	PUNCT
jbi-40	41	29	an	an	DET
jbi-40	41	30	aridity	aridity	NOUN
jbi-40	41	31	index	index	NOUN
jbi-40	41	32	,	,	PUNCT
jbi-40	41	33	area	area	NOUN
jbi-40	41	34	with	with	ADP
jbi-40	41	35	stony	stony	PROPN
jbi-40	41	36	siliceous	siliceous	ADJ
jbi-40	41	37	soils	soil	NOUN
jbi-40	41	38	,	,	PUNCT
jbi-40	41	39	calcareous	calcareous	ADJ
jbi-40	41	40	soils	soil	NOUN
jbi-40	41	41	,	,	PUNCT
jbi-40	41	42	siliceous	siliceous	ADJ
jbi-40	41	43	sediments	sediment	NOUN
jbi-40	41	44	and	and	CCONJ
jbi-40	41	45	calcareous	calcareous	ADJ
jbi-40	41	46	sediments	sediment	NOUN
jbi-40	41	47	)	)	PUNCT
jbi-40	41	48	.	.	PUNCT
jbi-40	42	1	all	all	DET
jbi-40	42	2	models	model	NOUN
jbi-40	42	3	were	be	AUX
jbi-40	42	4	repeated	repeat	VERB
jbi-40	42	5	10	10	NUM
jbi-40	42	6	times	time	NOUN
jbi-40	42	7	,	,	PUNCT
jbi-40	42	8	and	and	CCONJ
jbi-40	42	9	predictions	prediction	NOUN
jbi-40	42	10	were	be	AUX
jbi-40	42	11	validated	validate	VERB
jbi-40	42	12	using	use	VERB
jbi-40	42	13	information	information	NOUN
jbi-40	42	14	from	from	ADP
jbi-40	42	15	205	205	NUM
jbi-40	42	16	cells	cell	NOUN
jbi-40	42	17	(	(	PUNCT
jbi-40	42	18	158	158	NUM
jbi-40	42	19	presences	presence	NOUN
jbi-40	42	20	and	and	CCONJ
jbi-40	42	21	47	47	NUM
jbi-40	42	22	sound	sound	ADJ
jbi-40	42	23	absences	absence	NOUN
jbi-40	42	24	)	)	PUNCT
jbi-40	42	25	not	not	PART
jbi-40	42	26	used	use	VERB
jbi-40	42	27	in	in	ADP
jbi-40	42	28	model	model	NOUN
jbi-40	42	29	calibration	calibration	NOUN
jbi-40	42	30	.	.	PUNCT
jbi-40	43	1	beside	beside	ADP
jbi-40	43	2	the	the	DET
jbi-40	43	3	auc	auc	NOUN
jbi-40	43	4	scores	score	NOUN
jbi-40	43	5	for	for	ADP
jbi-40	43	6	the	the	DET
jbi-40	43	7	validation	validation	NOUN
jbi-40	43	8	data	datum	NOUN
jbi-40	43	9	,	,	PUNCT
jbi-40	43	10	percentages	percentage	NOUN
jbi-40	43	11	of	of	ADP
jbi-40	43	12	presences	presence	NOUN
jbi-40	43	13	and	and	CCONJ
jbi-40	43	14	absences	absence	NOUN
jbi-40	43	15	correctly	correctly	ADV
jbi-40	43	16	predicted	predict	VERB
jbi-40	43	17	(	(	PUNCT
jbi-40	43	18	sensitivity	sensitivity	NOUN
jbi-40	43	19	and	and	CCONJ
jbi-40	43	20	specificity	specificity	NOUN
jbi-40	43	21	scores	score	NOUN
jbi-40	43	22	)	)	PUNCT
jbi-40	43	23	were	be	AUX
jbi-40	43	24	also	also	ADV
jbi-40	43	25	calculated	calculate	VERB
jbi-40	43	26	after	after	ADP
jbi-40	43	27	applying	apply	VERB
jbi-40	43	28	to	to	ADP
jbi-40	43	29	model	model	NOUN
jbi-40	43	30	probabilities	probability	NOUN
jbi-40	43	31	the	the	DET
jbi-40	43	32	threshold	threshold	NOUN
jbi-40	43	33	that	that	PRON
jbi-40	43	34	minimizes	minimize	VERB
jbi-40	43	35	the	the	DET
jbi-40	43	36	difference	difference	NOUN
jbi-40	43	37	between	between	ADP
jbi-40	43	38	sensitivity	sensitivity	NOUN
jbi-40	43	39	and	and	CCONJ
jbi-40	43	40	specificity	specificity	NOUN
jbi-40	43	41	(	(	PUNCT
jbi-40	43	42	see	see	VERB
jbi-40	43	43	jiménez	jiménez	PROPN
jbi-40	43	44	-	-	PUNCT
jbi-40	43	45	valverde	valverde	PROPN
jbi-40	43	46	&	&	CCONJ
jbi-40	43	47	lobo	lobo	PROPN
jbi-40	43	48	2006	2006	NUM
jbi-40	43	49	and	and	CCONJ
jbi-40	43	50	2007	2007	NUM
jbi-40	43	51	)	)	PUNCT
jbi-40	43	52	.	.	PUNCT
jbi-40	44	1	model	model	NOUN
jbi-40	44	2	predictions	prediction	NOUN
jbi-40	44	3	were	be	AUX
jbi-40	44	4	obtained	obtain	VERB
jbi-40	44	5	for	for	ADP
jbi-40	44	6	both	both	CCONJ
jbi-40	44	7	the	the	DET
jbi-40	44	8	entire	entire	ADJ
jbi-40	44	9	iberian	iberian	ADJ
jbi-40	44	10	peninsula	peninsula	NOUN
jbi-40	44	11	and	and	CCONJ
jbi-40	44	12	only	only	ADV
jbi-40	44	13	the	the	DET
jbi-40	44	14	southern	southern	ADJ
jbi-40	44	15	half	half	NOUN
jbi-40	44	16	of	of	ADP
jbi-40	44	17	the	the	DET
jbi-40	44	18	peninsula	peninsula	NOUN
jbi-40	44	19	to	to	PART
jbi-40	44	20	illustrate	illustrate	VERB
jbi-40	44	21	the	the	DET
jbi-40	44	22	effects	effect	NOUN
jbi-40	44	23	of	of	ADP
jbi-40	44	24	the	the	DET
jbi-40	44	25	geographic	geographic	ADJ
jbi-40	44	26	extent	extent	NOUN
jbi-40	44	27	at	at	ADP
jbi-40	44	28	which	which	PRON
jbi-40	44	29	these	these	DET
jbi-40	44	30	types	type	NOUN
jbi-40	44	31	of	of	ADP
jbi-40	44	32	models	model	NOUN
jbi-40	44	33	are	be	AUX
jbi-40	44	34	developed	develop	VERB
jbi-40	44	35	on	on	ADP
jbi-40	44	36	output	output	NOUN
jbi-40	44	37	probabilities	probability	NOUN
jbi-40	44	38	and	and	CCONJ
jbi-40	44	39	validation	validation	NOUN
jbi-40	44	40	scores	score	NOUN
jbi-40	44	41	.	.	PUNCT
jbi-40	45	1	predicting	predict	VERB
jbi-40	45	2	with	with	ADP
jbi-40	45	3	sound	sound	ADJ
jbi-40	45	4	absence	absence	NOUN
jbi-40	45	5	data	data	NOUN
jbi-40	45	6	inclusion	inclusion	NOUN
jbi-40	45	7	of	of	ADP
jbi-40	45	8	reliable	reliable	ADJ
jbi-40	45	9	absence	absence	NOUN
jbi-40	45	10	data	datum	NOUN
jbi-40	45	11	significantly	significantly	ADV
jbi-40	45	12	improved	improve	VERB
jbi-40	45	13	model	model	NOUN
jbi-40	45	14	predictions	prediction	NOUN
jbi-40	45	15	,	,	PUNCT
jbi-40	45	16	especially	especially	ADV
jbi-40	45	17	for	for	ADP
jbi-40	45	18	smaller	small	ADJ
jbi-40	45	19	territories	territory	NOUN
jbi-40	45	20	with	with	ADP
jbi-40	45	21	a	a	DET
jbi-40	45	22	less	less	ADV
jbi-40	45	23	variable	variable	ADJ
jbi-40	45	24	environment	environment	NOUN
jbi-40	45	25	(	(	PUNCT
jbi-40	45	26	fig	fig	NOUN
jbi-40	45	27	.	.	PUNCT
jbi-40	45	28	1	1	NUM
jbi-40	45	29	)	)	PUNCT
jbi-40	45	30	.	.	PUNCT
jbi-40	46	1	as	as	SCONJ
jbi-40	46	2	anticipated	anticipate	VERB
jbi-40	46	3	,	,	PUNCT
jbi-40	46	4	average	average	ADJ
jbi-40	46	5	auc	auc	NOUN
jbi-40	46	6	scores	score	NOUN
jbi-40	46	7	for	for	ADP
jbi-40	46	8	the	the	DET
jbi-40	46	9	entire	entire	ADJ
jbi-40	46	10	iberian	iberian	ADJ
jbi-40	46	11	peninsula	peninsula	NOUN
jbi-40	46	12	(	(	PUNCT
jbi-40	46	13	±	±	NOUN
jbi-40	46	14	95	95	NUM
jbi-40	46	15	%	%	NOUN
jbi-40	46	16	confidence	confidence	NOUN
jbi-40	46	17	intervals	interval	NOUN
jbi-40	46	18	)	)	PUNCT
jbi-40	46	19	using	use	VERB
jbi-40	46	20	random	random	ADJ
jbi-40	46	21	absences	absence	NOUN
jbi-40	46	22	are	be	AUX
jbi-40	46	23	significantly	significantly	ADV
jbi-40	46	24	lower	low	ADJ
jbi-40	46	25	(	(	PUNCT
jbi-40	46	26	0.951	0.951	NUM
jbi-40	46	27	±	±	NUM
jbi-40	46	28	0.011	0.011	NUM
jbi-40	46	29	)	)	PUNCT
jbi-40	46	30	than	than	ADP
jbi-40	46	31	in	in	ADP
jbi-40	46	32	the	the	DET
jbi-40	46	33	case	case	NOUN
jbi-40	46	34	of	of	ADP
jbi-40	46	35	absences	absence	NOUN
jbi-40	46	36	selected	select	VERB
jbi-40	46	37	among	among	ADP
jbi-40	46	38	well	well	ADV
jbi-40	46	39	-	-	PUNCT
jbi-40	46	40	surveyed	survey	VERB
jbi-40	46	41	cells	cell	NOUN
jbi-40	46	42	(	(	PUNCT
jbi-40	46	43	0.977	0.977	NUM
jbi-40	46	44	±	±	NUM
jbi-40	46	45	0.007	0.007	NUM
jbi-40	46	46	;	;	PUNCT
jbi-40	46	47	f(2	f(2	PROPN
jbi-40	46	48	,	,	PUNCT
jbi-40	46	49	27	27	NUM
jbi-40	46	50	)	)	PUNCT
jbi-40	46	51	=	=	SYM
jbi-40	46	52	42.14	42.14	NUM
jbi-40	46	53	,	,	PUNCT
jbi-40	46	54	p	p	X
jbi-40	46	55	<	<	X
jbi-40	46	56	0.0001	0.0001	NUM
jbi-40	46	57	)	)	PUNCT
jbi-40	46	58	.	.	PUNCT
jbi-40	47	1	interestingly	interestingly	ADV
jbi-40	47	2	,	,	PUNCT
jbi-40	47	3	this	this	DET
jbi-40	47	4	difference	difference	NOUN
jbi-40	47	5	is	be	AUX
jbi-40	47	6	still	still	ADV
jbi-40	47	7	greater	great	ADJ
jbi-40	47	8	when	when	SCONJ
jbi-40	47	9	only	only	ADV
jbi-40	47	10	the	the	DET
jbi-40	47	11	southern	southern	ADJ
jbi-40	47	12	lobo	lobo	NOUN
jbi-40	47	13	–	–	PUNCT
jbi-40	47	14	more	more	ADJ
jbi-40	47	15	complex	complex	ADJ
jbi-40	47	16	models	model	NOUN
jbi-40	47	17	or	or	CCONJ
jbi-40	47	18	representative	representative	ADJ
jbi-40	47	19	data	datum	NOUN
jbi-40	47	20	?	?	PUNCT
jbi-40	48	1	16	16	NUM
jbi-40	48	2	random	random	ADJ
jbi-40	48	3	well	well	INTJ
jbi-40	48	4	surveyed	survey	VERB
jbi-40	48	5	0.50	0.50	NUM
jbi-40	48	6	0.55	0.55	NUM
jbi-40	48	7	0.60	0.60	NUM
jbi-40	48	8	0.65	0.65	NUM
jbi-40	48	9	0.70	0.70	NUM
jbi-40	48	10	0.75	0.75	NUM
jbi-40	48	11	0.80	0.80	NUM
jbi-40	48	12	0.85	0.85	NUM
jbi-40	48	13	0.90	0.90	NUM
jbi-40	48	14	0.95	0.95	NUM
jbi-40	48	15	1.00	1.00	NUM
jbi-40	48	16	a	a	DET
jbi-40	48	17	u	u	NOUN
jbi-40	48	18	c	c	NOUN
jbi-40	48	19	random	random	ADJ
jbi-40	49	1	well	well	INTJ
jbi-40	49	2	surveyed	survey	VERB
jbi-40	49	3	0.75	0.75	NUM
jbi-40	49	4	0.80	0.80	NUM
jbi-40	49	5	0.85	0.85	NUM
jbi-40	49	6	0.90	0.90	NUM
jbi-40	49	7	0.95	0.95	NUM
jbi-40	49	8	1.00	1.00	NUM
jbi-40	49	9	a	a	DET
jbi-40	49	10	u	u	NOUN
jbi-40	49	11	c	c	NOUN
jbi-40	49	12	figure	figure	NOUN
jbi-40	49	13	1	1	NUM
jbi-40	49	14	.	.	PUNCT
jbi-40	50	1	mean	mean	VERB
jbi-40	50	2	auc	auc	NOUN
jbi-40	50	3	scores	score	NOUN
jbi-40	50	4	(	(	PUNCT
jbi-40	50	5	±	±	NUM
jbi-40	50	6	95	95	NUM
jbi-40	50	7	%	%	NOUN
jbi-40	50	8	confidence	confidence	NOUN
jbi-40	50	9	intervals	interval	NOUN
jbi-40	50	10	)	)	PUNCT
jbi-40	50	11	with	with	ADP
jbi-40	50	12	respect	respect	NOUN
jbi-40	50	13	to	to	ADP
jbi-40	50	14	method	method	NOUN
jbi-40	50	15	of	of	ADP
jbi-40	50	16	selection	selection	NOUN
jbi-40	50	17	of	of	ADP
jbi-40	50	18	absence	absence	NOUN
jbi-40	50	19	information	information	NOUN
jbi-40	50	20	(	(	PUNCT
jbi-40	50	21	at	at	ADP
jbi-40	50	22	random	random	ADJ
jbi-40	50	23	or	or	CCONJ
jbi-40	50	24	from	from	ADP
jbi-40	50	25	among	among	ADP
jbi-40	50	26	well	well	ADV
jbi-40	50	27	-	-	PUNCT
jbi-40	50	28	surveyed	survey	VERB
jbi-40	50	29	cells	cell	NOUN
jbi-40	50	30	)	)	PUNCT
jbi-40	50	31	.	.	PUNCT
jbi-40	51	1	left	leave	VERB
jbi-40	51	2	:	:	PUNCT
jbi-40	51	3	model	model	NOUN
jbi-40	51	4	based	base	VERB
jbi-40	51	5	on	on	ADP
jbi-40	51	6	southern	southern	ADJ
jbi-40	51	7	half	half	NOUN
jbi-40	51	8	of	of	ADP
jbi-40	51	9	the	the	DET
jbi-40	51	10	iberian	iberian	ADJ
jbi-40	51	11	peninsula	peninsula	NOUN
jbi-40	51	12	;	;	PUNCT
jbi-40	51	13	right	right	ADJ
jbi-40	51	14	:	:	PUNCT
jbi-40	51	15	model	model	NOUN
jbi-40	51	16	based	base	VERB
jbi-40	51	17	on	on	ADP
jbi-40	51	18	the	the	DET
jbi-40	51	19	entire	entire	ADJ
jbi-40	51	20	iberian	iberian	ADJ
jbi-40	51	21	peninsula	peninsula	NOUN
jbi-40	51	22	.	.	PUNCT
jbi-40	52	1	half	half	NOUN
jbi-40	52	2	of	of	ADP
jbi-40	52	3	the	the	DET
jbi-40	52	4	iberian	iberian	ADJ
jbi-40	52	5	territory	territory	NOUN
jbi-40	52	6	is	be	AUX
jbi-40	52	7	considered	consider	VERB
jbi-40	52	8	:	:	PUNCT
jbi-40	52	9	auc	auc	VERB
jbi-40	52	10	scores	score	NOUN
jbi-40	52	11	derived	derive	VERB
jbi-40	52	12	from	from	ADP
jbi-40	52	13	random	random	ADJ
jbi-40	52	14	absences	absence	NOUN
jbi-40	52	15	are	be	AUX
jbi-40	52	16	even	even	ADV
jbi-40	52	17	lower	low	ADJ
jbi-40	52	18	and	and	CCONJ
jbi-40	52	19	more	more	ADJ
jbi-40	52	20	variable	variable	ADJ
jbi-40	52	21	(	(	PUNCT
jbi-40	52	22	0.723	0.723	NUM
jbi-40	52	23	±	±	NUM
jbi-40	52	24	0.090	0.090	NUM
jbi-40	52	25	)	)	PUNCT
jbi-40	52	26	than	than	ADP
jbi-40	52	27	with	with	ADP
jbi-40	52	28	well	well	ADV
jbi-40	52	29	-	-	PUNCT
jbi-40	52	30	surveyed	survey	VERB
jbi-40	52	31	cells	cell	NOUN
jbi-40	52	32	(	(	PUNCT
jbi-40	52	33	0.907	0.907	NUM
jbi-40	52	34	±	±	NUM
jbi-40	52	35	0.027	0.027	NUM
jbi-40	52	36	;	;	PUNCT
jbi-40	52	37	f(2	f(2	PROPN
jbi-40	52	38	,	,	PUNCT
jbi-40	52	39	27	27	NUM
jbi-40	52	40	)	)	PUNCT
jbi-40	52	41	=	=	SYM
jbi-40	52	42	10.87	10.87	NUM
jbi-40	52	43	,	,	PUNCT
jbi-40	52	44	p=	p=	NOUN
jbi-40	52	45	0.0003	0.0003	NUM
jbi-40	52	46	)	)	PUNCT
jbi-40	52	47	.	.	PUNCT
jbi-40	53	1	thus	thus	ADV
jbi-40	53	2	,	,	PUNCT
jbi-40	53	3	the	the	DET
jbi-40	53	4	inclusion	inclusion	NOUN
jbi-40	53	5	of	of	ADP
jbi-40	53	6	reliable	reliable	ADJ
jbi-40	53	7	absence	absence	NOUN
jbi-40	53	8	data	datum	NOUN
jbi-40	53	9	significantly	significantly	ADV
jbi-40	53	10	improves	improve	VERB
jbi-40	53	11	model	model	NOUN
jbi-40	53	12	predictions	prediction	NOUN
jbi-40	53	13	,	,	PUNCT
jbi-40	53	14	especially	especially	ADV
jbi-40	53	15	for	for	ADP
jbi-40	53	16	smaller	small	ADJ
jbi-40	53	17	ranges	range	NOUN
jbi-40	53	18	with	with	ADP
jbi-40	53	19	less	less	ADJ
jbi-40	53	20	variable	variable	ADJ
jbi-40	53	21	environments	environment	NOUN
jbi-40	53	22	(	(	PUNCT
jbi-40	53	23	see	see	VERB
jbi-40	53	24	fig	fig	NOUN
jbi-40	53	25	.	.	PUNCT
jbi-40	54	1	2	2	NUM
jbi-40	54	2	)	)	PUNCT
jbi-40	54	3	.	.	PUNCT
jbi-40	55	1	put	put	VERB
jbi-40	55	2	another	another	DET
jbi-40	55	3	way	way	NOUN
jbi-40	55	4	,	,	PUNCT
jbi-40	55	5	absences	absence	NOUN
jbi-40	55	6	randomly	randomly	ADV
jbi-40	55	7	distributed	distribute	VERB
jbi-40	55	8	in	in	ADP
jbi-40	55	9	a	a	DET
jbi-40	55	10	larger	large	ADJ
jbi-40	55	11	area	area	NOUN
jbi-40	55	12	lead	lead	VERB
jbi-40	55	13	to	to	ADP
jbi-40	55	14	better	well	ADJ
jbi-40	55	15	predictions	prediction	NOUN
jbi-40	55	16	through	through	ADP
jbi-40	55	17	reduced	reduce	VERB
jbi-40	55	18	possibility	possibility	NOUN
jbi-40	55	19	of	of	ADP
jbi-40	55	20	including	include	VERB
jbi-40	55	21	false	false	ADJ
jbi-40	55	22	absences	absence	NOUN
jbi-40	55	23	.	.	PUNCT
jbi-40	56	1	the	the	DET
jbi-40	56	2	study	study	NOUN
jbi-40	56	3	by	by	ADP
jbi-40	56	4	elith	elith	ADP
jbi-40	56	5	and	and	CCONJ
jbi-40	56	6	collaborators	collaborator	NOUN
jbi-40	56	7	(	(	PUNCT
jbi-40	56	8	elith	elith	ADP
jbi-40	56	9	et	et	PROPN
jbi-40	56	10	al	al	PROPN
jbi-40	56	11	.	.	PROPN
jbi-40	56	12	2006	2006	NUM
jbi-40	56	13	)	)	PUNCT
jbi-40	56	14	is	be	AUX
jbi-40	56	15	,	,	PUNCT
jbi-40	56	16	without	without	ADP
jbi-40	56	17	a	a	DET
jbi-40	56	18	doubt	doubt	NOUN
jbi-40	56	19	,	,	PUNCT
jbi-40	56	20	the	the	DET
jbi-40	56	21	most	most	ADV
jbi-40	56	22	comprehensive	comprehensive	ADJ
jbi-40	56	23	of	of	ADP
jbi-40	56	24	all	all	PRON
jbi-40	56	25	to	to	ADP
jbi-40	56	26	date	date	NOUN
jbi-40	56	27	.	.	PUNCT
jbi-40	57	1	unlike	unlike	ADP
jbi-40	57	2	preceding	precede	VERB
jbi-40	57	3	studies	study	NOUN
jbi-40	57	4	,	,	PUNCT
jbi-40	57	5	the	the	DET
jbi-40	57	6	authors	author	NOUN
jbi-40	57	7	validated	validate	VERB
jbi-40	57	8	model	model	NOUN
jbi-40	57	9	predictions	prediction	NOUN
jbi-40	57	10	with	with	ADP
jbi-40	57	11	independent	independent	ADJ
jbi-40	57	12	data	datum	NOUN
jbi-40	57	13	and	and	CCONJ
jbi-40	57	14	good	good	ADJ
jbi-40	57	15	absence	absence	NOUN
jbi-40	57	16	information	information	NOUN
jbi-40	57	17	.	.	PUNCT
jbi-40	58	1	what	what	PRON
jbi-40	58	2	would	would	AUX
jbi-40	58	3	have	have	AUX
jbi-40	58	4	been	be	AUX
jbi-40	58	5	the	the	DET
jbi-40	58	6	result	result	NOUN
jbi-40	58	7	if	if	SCONJ
jbi-40	58	8	the	the	DET
jbi-40	58	9	reliable	reliable	ADJ
jbi-40	58	10	absence	absence	NOUN
jbi-40	58	11	information	information	NOUN
jbi-40	58	12	used	use	VERB
jbi-40	58	13	to	to	PART
jbi-40	58	14	validate	validate	VERB
jbi-40	58	15	their	their	PRON
jbi-40	58	16	models	model	NOUN
jbi-40	58	17	had	have	AUX
jbi-40	58	18	been	be	AUX
jbi-40	58	19	used	use	VERB
jbi-40	58	20	for	for	ADP
jbi-40	58	21	calibration	calibration	NOUN
jbi-40	58	22	?	?	PUNCT
jbi-40	59	1	interestingly	interestingly	ADV
jbi-40	59	2	,	,	PUNCT
jbi-40	59	3	when	when	SCONJ
jbi-40	59	4	good	good	ADJ
jbi-40	59	5	data	datum	NOUN
jbi-40	59	6	and	and	CCONJ
jbi-40	59	7	predictors	predictor	NOUN
jbi-40	59	8	were	be	AUX
jbi-40	59	9	used	use	VERB
jbi-40	59	10	by	by	ADP
jbi-40	59	11	elith	elith	ADP
jbi-40	59	12	and	and	CCONJ
jbi-40	59	13	collaborators	collaborator	NOUN
jbi-40	59	14	(	(	PUNCT
jbi-40	59	15	elith	elith	ADP
jbi-40	59	16	et	et	PROPN
jbi-40	59	17	al	al	PROPN
jbi-40	59	18	.	.	PROPN
jbi-40	59	19	2006	2006	NUM
jbi-40	59	20	;	;	PUNCT
jbi-40	59	21	see	see	VERB
jbi-40	59	22	,	,	PUNCT
jbi-40	59	23	e.g.	e.g.	ADV
jbi-40	59	24	,	,	PUNCT
jbi-40	59	25	the	the	DET
jbi-40	59	26	case	case	NOUN
jbi-40	59	27	of	of	ADP
jbi-40	59	28	switzerland	switzerland	PROPN
jbi-40	59	29	)	)	PUNCT
jbi-40	59	30	,	,	PUNCT
jbi-40	59	31	accuracy	accuracy	NOUN
jbi-40	59	32	differences	difference	NOUN
jbi-40	59	33	among	among	ADP
jbi-40	59	34	modeling	modeling	NOUN
jbi-40	59	35	methods	method	NOUN
jbi-40	59	36	seemed	seem	VERB
jbi-40	59	37	to	to	PART
jbi-40	59	38	diminish	diminish	VERB
jbi-40	59	39	.	.	PUNCT
jbi-40	60	1	unfortunately	unfortunately	ADV
jbi-40	60	2	,	,	PUNCT
jbi-40	60	3	most	most	ADJ
jbi-40	60	4	such	such	ADJ
jbi-40	60	5	modeling	modeling	NOUN
jbi-40	60	6	exercises	exercise	NOUN
jbi-40	60	7	do	do	AUX
jbi-40	60	8	not	not	PART
jbi-40	60	9	use	use	VERB
jbi-40	60	10	reliable	reliable	ADJ
jbi-40	60	11	absence	absence	NOUN
jbi-40	60	12	information	information	NOUN
jbi-40	60	13	either	either	CCONJ
jbi-40	60	14	to	to	PART
jbi-40	60	15	calibrate	calibrate	VERB
jbi-40	60	16	models	model	NOUN
jbi-40	60	17	or	or	CCONJ
jbi-40	60	18	to	to	PART
jbi-40	60	19	validate	validate	VERB
jbi-40	60	20	them	they	PRON
jbi-40	60	21	.	.	PUNCT
jbi-40	61	1	this	this	DET
jbi-40	61	2	undesirable	undesirable	ADJ
jbi-40	61	3	practice	practice	NOUN
jbi-40	61	4	highly	highly	ADV
jbi-40	61	5	compromises	compromise	VERB
jbi-40	61	6	the	the	DET
jbi-40	61	7	conservation	conservation	NOUN
jbi-40	61	8	usefulness	usefulness	NOUN
jbi-40	61	9	of	of	ADP
jbi-40	61	10	distribution	distribution	NOUN
jbi-40	61	11	model	model	NOUN
jbi-40	61	12	results	result	NOUN
jbi-40	61	13	.	.	PUNCT
jbi-40	62	1	if	if	SCONJ
jbi-40	62	2	one	one	PRON
jbi-40	62	3	wants	want	VERB
jbi-40	62	4	to	to	PART
jbi-40	62	5	generate	generate	VERB
jbi-40	62	6	a	a	DET
jbi-40	62	7	distributional	distributional	ADJ
jbi-40	62	8	simulation	simulation	NOUN
jbi-40	62	9	able	able	ADJ
jbi-40	62	10	to	to	PART
jbi-40	62	11	reflect	reflect	VERB
jbi-40	62	12	the	the	DET
jbi-40	62	13	realized	realize	VERB
jbi-40	62	14	distribution	distribution	NOUN
jbi-40	62	15	of	of	ADP
jbi-40	62	16	the	the	DET
jbi-40	62	17	species	specie	NOUN
jbi-40	62	18	,	,	PUNCT
jbi-40	62	19	good	good	ADJ
jbi-40	62	20	absence	absence	NOUN
jbi-40	62	21	data	datum	NOUN
jbi-40	62	22	need	need	VERB
jbi-40	62	23	to	to	PART
jbi-40	62	24	be	be	AUX
jbi-40	62	25	incorporated	incorporate	VERB
jbi-40	62	26	.	.	PUNCT
jbi-40	63	1	these	these	DET
jbi-40	63	2	data	datum	NOUN
jbi-40	63	3	should	should	AUX
jbi-40	63	4	be	be	AUX
jbi-40	63	5	located	locate	VERB
jbi-40	63	6	in	in	ADP
jbi-40	63	7	climatically	climatically	ADV
jbi-40	63	8	suitable	suitable	ADJ
jbi-40	63	9	localities	locality	NOUN
jbi-40	63	10	in	in	ADP
jbi-40	63	11	which	which	PRON
jbi-40	63	12	the	the	DET
jbi-40	63	13	species	specie	NOUN
jbi-40	63	14	does	do	AUX
jbi-40	63	15	not	not	PART
jbi-40	63	16	occur	occur	VERB
jbi-40	63	17	due	due	ADJ
jbi-40	63	18	to	to	ADP
jbi-40	63	19	historical	historical	ADJ
jbi-40	63	20	factors	factor	NOUN
jbi-40	63	21	,	,	PUNCT
jbi-40	63	22	biotic	biotic	ADJ
jbi-40	63	23	interactions	interaction	NOUN
jbi-40	63	24	or	or	CCONJ
jbi-40	63	25	dispersal	dispersal	NOUN
jbi-40	63	26	limitation	limitation	NOUN
jbi-40	63	27	processes	process	NOUN
jbi-40	63	28	(	(	PUNCT
jbi-40	63	29	pulliam	pulliam	PROPN
jbi-40	63	30	1988	1988	NUM
jbi-40	63	31	,	,	PUNCT
jbi-40	63	32	ricklefts	rickleft	VERB
jbi-40	63	33	&	&	CCONJ
jbi-40	63	34	schluter	schluter	PROPN
jbi-40	63	35	1993	1993	NUM
jbi-40	63	36	,	,	PUNCT
jbi-40	63	37	hanski	hanski	ADJ
jbi-40	63	38	1998	1998	NUM
jbi-40	63	39	,	,	PUNCT
jbi-40	63	40	pulliam	pulliam	PROPN
jbi-40	63	41	2000	2000	NUM
jbi-40	63	42	)	)	PUNCT
jbi-40	63	43	.	.	PUNCT
jbi-40	64	1	including	include	VERB
jbi-40	64	2	absences	absence	NOUN
jbi-40	64	3	from	from	ADP
jbi-40	64	4	a	a	DET
jbi-40	64	5	priori	priori	ADV
jbi-40	64	6	favorable	favorable	ADJ
jbi-40	64	7	environmental	environmental	ADJ
jbi-40	64	8	localities	locality	NOUN
jbi-40	64	9	will	will	AUX
jbi-40	64	10	inevitably	inevitably	ADV
jbi-40	64	11	diminish	diminish	VERB
jbi-40	64	12	the	the	DET
jbi-40	64	13	predicted	predict	VERB
jbi-40	64	14	range	range	NOUN
jbi-40	64	15	size	size	NOUN
jbi-40	64	16	,	,	PUNCT
jbi-40	64	17	so	so	SCONJ
jbi-40	64	18	that	that	SCONJ
jbi-40	64	19	the	the	DET
jbi-40	64	20	modeled	model	VERB
jbi-40	64	21	distribution	distribution	NOUN
jbi-40	64	22	approaches	approach	VERB
jbi-40	64	23	the	the	DET
jbi-40	64	24	realized	realize	VERB
jbi-40	64	25	one	one	NUM
jbi-40	64	26	(	(	PUNCT
jbi-40	64	27	see	see	VERB
jbi-40	64	28	chefaoui	chefaoui	ADV
jbi-40	64	29	&	&	CCONJ
jbi-40	64	30	lobo	lobo	PROPN
jbi-40	64	31	2008	2008	NUM
jbi-40	64	32	)	)	PUNCT
jbi-40	64	33	.	.	PUNCT
jbi-40	65	1	on	on	ADP
jbi-40	65	2	the	the	DET
jbi-40	65	3	other	other	ADJ
jbi-40	65	4	hand	hand	NOUN
jbi-40	65	5	,	,	PUNCT
jbi-40	65	6	including	include	VERB
jbi-40	65	7	absences	absence	NOUN
jbi-40	65	8	from	from	ADP
jbi-40	65	9	environmentally	environmentally	ADV
jbi-40	65	10	unsuitable	unsuitable	ADJ
jbi-40	65	11	places	place	NOUN
jbi-40	65	12	generates	generate	VERB
jbi-40	65	13	simulations	simulation	NOUN
jbi-40	65	14	which	which	PRON
jbi-40	65	15	approach	approach	VERB
jbi-40	65	16	the	the	DET
jbi-40	65	17	potential	potential	ADJ
jbi-40	65	18	distribution	distribution	NOUN
jbi-40	65	19	(	(	PUNCT
jbi-40	65	20	all	all	DET
jbi-40	65	21	the	the	DET
jbi-40	65	22	environmentally	environmentally	ADV
jbi-40	65	23	suitable	suitable	ADJ
jbi-40	65	24	places	place	NOUN
jbi-40	65	25	in	in	ADP
jbi-40	65	26	which	which	PRON
jbi-40	65	27	a	a	DET
jbi-40	65	28	species	specie	NOUN
jbi-40	65	29	could	could	AUX
jbi-40	65	30	occur	occur	VERB
jbi-40	65	31	according	accord	VERB
jbi-40	65	32	to	to	ADP
jbi-40	65	33	a	a	DET
jbi-40	65	34	group	group	NOUN
jbi-40	65	35	of	of	ADP
jbi-40	65	36	environmental	environmental	ADJ
jbi-40	65	37	variables	variable	NOUN
jbi-40	65	38	;	;	PUNCT
jbi-40	65	39	see	see	VERB
jbi-40	65	40	soberón	soberón	PROPN
jbi-40	65	41	&	&	CCONJ
jbi-40	65	42	peterson	peterson	PROPN
jbi-40	65	43	2005	2005	NUM
jbi-40	65	44	,	,	PUNCT
jbi-40	65	45	peterson	peterson	NOUN
jbi-40	65	46	2006	2006	NUM
jbi-40	65	47	)	)	PUNCT
jbi-40	65	48	.	.	PUNCT
jbi-40	66	1	the	the	DET
jbi-40	66	2	probability	probability	NOUN
jbi-40	66	3	of	of	ADP
jbi-40	66	4	including	include	VERB
jbi-40	66	5	false	false	ADJ
jbi-40	66	6	absences	absence	NOUN
jbi-40	66	7	when	when	SCONJ
jbi-40	66	8	absences	absence	NOUN
jbi-40	66	9	are	be	AUX
jbi-40	66	10	selected	select	VERB
jbi-40	66	11	at	at	ADP
jbi-40	66	12	random	random	ADJ
jbi-40	66	13	increases	increase	NOUN
jbi-40	66	14	at	at	ADP
jbi-40	66	15	lobo	lobo	NOUN
jbi-40	66	16	–	–	PUNCT
jbi-40	66	17	more	more	ADJ
jbi-40	66	18	complex	complex	ADJ
jbi-40	66	19	models	model	NOUN
jbi-40	66	20	or	or	CCONJ
jbi-40	66	21	representative	representative	ADJ
jbi-40	66	22	data	datum	NOUN
jbi-40	66	23	?	?	PUNCT
jbi-40	67	1	17	17	NUM
jbi-40	67	2	figure	figure	NOUN
jbi-40	67	3	2	2	NUM
jbi-40	67	4	.	.	PUNCT
jbi-40	67	5	left	leave	VERB
jbi-40	67	6	:	:	PUNCT
jbi-40	67	7	gam	gam	ADJ
jbi-40	67	8	-	-	ADJ
jbi-40	67	9	derived	derive	VERB
jbi-40	67	10	distributional	distributional	ADJ
jbi-40	67	11	prediction	prediction	NOUN
jbi-40	67	12	for	for	ADP
jbi-40	67	13	the	the	DET
jbi-40	67	14	iberian	iberian	ADJ
jbi-40	67	15	dung	dung	NOUN
jbi-40	67	16	beetle	beetle	NOUN
jbi-40	67	17	species	specie	NOUN
jbi-40	67	18	copris	copris	PROPN
jbi-40	67	19	hispanus	hispanus	PROPN
jbi-40	67	20	based	base	VERB
jbi-40	67	21	on	on	ADP
jbi-40	67	22	absence	absence	NOUN
jbi-40	67	23	information	information	NOUN
jbi-40	67	24	derived	derive	VERB
jbi-40	67	25	from	from	ADP
jbi-40	67	26	adequately	adequately	ADV
jbi-40	67	27	-	-	PUNCT
jbi-40	67	28	inventoried	inventorie	VERB
jbi-40	67	29	50x50	50x50	NUM
jbi-40	67	30	km	km	NOUN
jbi-40	67	31	utm	utm	PROPN
jbi-40	67	32	cells	cell	NOUN
jbi-40	67	33	(	(	PUNCT
jbi-40	67	34	yellow	yellow	ADJ
jbi-40	67	35	squares	square	NOUN
jbi-40	67	36	)	)	PUNCT
jbi-40	67	37	.	.	PUNCT
jbi-40	68	1	white	white	PROPN
jbi-40	68	2	dots	dot	NOUN
jbi-40	68	3	represent	represent	VERB
jbi-40	68	4	known	know	VERB
jbi-40	68	5	presence	presence	NOUN
jbi-40	68	6	localities	locality	NOUN
jbi-40	68	7	(	(	PUNCT
jbi-40	68	8	100	100	NUM
jbi-40	68	9	km2	km2	X
jbi-40	68	10	utm	utm	PROPN
jbi-40	68	11	cells	cell	NOUN
jbi-40	68	12	)	)	PUNCT
jbi-40	68	13	.	.	PUNCT
jbi-40	69	1	the	the	DET
jbi-40	69	2	three	three	NUM
jbi-40	69	3	figures	figure	NOUN
jbi-40	69	4	at	at	ADP
jbi-40	69	5	right	right	NOUN
jbi-40	69	6	are	be	AUX
jbi-40	69	7	distributional	distributional	ADJ
jbi-40	69	8	predictions	prediction	NOUN
jbi-40	69	9	based	base	VERB
jbi-40	69	10	on	on	ADP
jbi-40	69	11	absences	absence	NOUN
jbi-40	69	12	randomly	randomly	ADV
jbi-40	69	13	selected	select	VERB
jbi-40	69	14	from	from	ADP
jbi-40	69	15	the	the	DET
jbi-40	69	16	whole	whole	ADJ
jbi-40	69	17	iberian	iberian	ADJ
jbi-40	69	18	peninsula	peninsula	NOUN
jbi-40	69	19	(	(	PUNCT
jbi-40	69	20	a	a	X
jbi-40	69	21	)	)	PUNCT
jbi-40	69	22	;	;	PUNCT
jbi-40	69	23	analyzing	analyze	VERB
jbi-40	69	24	only	only	ADV
jbi-40	69	25	the	the	DET
jbi-40	69	26	southern	southern	ADJ
jbi-40	69	27	half	half	NOUN
jbi-40	69	28	of	of	ADP
jbi-40	69	29	the	the	DET
jbi-40	69	30	iberian	iberian	ADJ
jbi-40	69	31	peninsula	peninsula	NOUN
jbi-40	69	32	based	base	VERB
jbi-40	69	33	on	on	ADP
jbi-40	69	34	reliable	reliable	ADJ
jbi-40	69	35	(	(	PUNCT
jbi-40	69	36	b	b	NOUN
jbi-40	69	37	)	)	PUNCT
jbi-40	69	38	and	and	CCONJ
jbi-40	69	39	randomly	randomly	ADV
jbi-40	69	40	selected	select	VERB
jbi-40	69	41	(	(	PUNCT
jbi-40	69	42	c	c	NOUN
jbi-40	69	43	)	)	PUNCT
jbi-40	69	44	absence	absence	NOUN
jbi-40	69	45	information	information	NOUN
jbi-40	69	46	.	.	PUNCT
jbi-40	70	1	the	the	DET
jbi-40	70	2	different	different	ADJ
jbi-40	70	3	shades	shade	NOUN
jbi-40	70	4	represent	represent	VERB
jbi-40	70	5	probabilities	probability	NOUN
jbi-40	70	6	from	from	ADP
jbi-40	70	7	0	0	NUM
jbi-40	70	8	(	(	PUNCT
jbi-40	70	9	white	white	ADJ
jbi-40	70	10	)	)	PUNCT
jbi-40	70	11	to	to	ADP
jbi-40	70	12	1	1	NUM
jbi-40	70	13	(	(	PUNCT
jbi-40	70	14	dark	dark	ADJ
jbi-40	70	15	red	red	NOUN
jbi-40	70	16	)	)	PUNCT
jbi-40	70	17	that	that	PRON
jbi-40	70	18	are	be	AUX
jbi-40	70	19	averages	average	NOUN
jbi-40	70	20	of	of	ADP
jbi-40	70	21	10	10	NUM
jbi-40	70	22	replicate	replicate	ADJ
jbi-40	70	23	model	model	NOUN
jbi-40	70	24	predictions	prediction	NOUN
jbi-40	70	25	.	.	PUNCT
jbi-40	71	1	note	note	VERB
jbi-40	71	2	that	that	SCONJ
jbi-40	71	3	use	use	NOUN
jbi-40	71	4	of	of	ADP
jbi-40	71	5	randomly	randomly	ADV
jbi-40	71	6	selected	select	VERB
jbi-40	71	7	absences	absence	NOUN
jbi-40	71	8	generates	generate	VERB
jbi-40	71	9	higher	high	ADJ
jbi-40	71	10	probability	probability	NOUN
jbi-40	71	11	scores	score	NOUN
jbi-40	71	12	in	in	ADP
jbi-40	71	13	regions	region	NOUN
jbi-40	71	14	of	of	ADP
jbi-40	71	15	absence	absence	NOUN
jbi-40	71	16	.	.	PUNCT
jbi-40	72	1	smaller	small	ADJ
jbi-40	72	2	extents	extent	NOUN
jbi-40	72	3	;	;	PUNCT
jbi-40	72	4	at	at	ADP
jbi-40	72	5	larger	large	ADJ
jbi-40	72	6	extents	extent	NOUN
jbi-40	72	7	,	,	PUNCT
jbi-40	72	8	it	it	PRON
jbi-40	72	9	is	be	AUX
jbi-40	72	10	more	more	ADV
jbi-40	72	11	likely	likely	ADJ
jbi-40	72	12	that	that	SCONJ
jbi-40	72	13	random	random	ADJ
jbi-40	72	14	absence	absence	NOUN
jbi-40	72	15	data	datum	NOUN
jbi-40	72	16	are	be	AUX
jbi-40	72	17	environmentally	environmentally	ADV
jbi-40	72	18	distant	distant	ADJ
jbi-40	72	19	from	from	ADP
jbi-40	72	20	the	the	DET
jbi-40	72	21	presence	presence	NOUN
jbi-40	72	22	domain	domain	NOUN
jbi-40	72	23	.	.	PUNCT
jbi-40	73	1	thus	thus	ADV
jbi-40	73	2	,	,	PUNCT
jbi-40	73	3	the	the	DET
jbi-40	73	4	drawback	drawback	NOUN
jbi-40	73	5	of	of	ADP
jbi-40	73	6	selecting	select	VERB
jbi-40	73	7	random	random	ADJ
jbi-40	73	8	absences	absence	NOUN
jbi-40	73	9	is	be	AUX
jbi-40	73	10	higher	high	ADJ
jbi-40	73	11	when	when	SCONJ
jbi-40	73	12	the	the	DET
jbi-40	73	13	ratio	ratio	NOUN
jbi-40	73	14	between	between	ADP
jbi-40	73	15	the	the	DET
jbi-40	73	16	extent	extent	NOUN
jbi-40	73	17	of	of	ADP
jbi-40	73	18	species	specie	NOUN
jbi-40	73	19	occurrence	occurrence	NOUN
jbi-40	73	20	and	and	CCONJ
jbi-40	73	21	the	the	DET
jbi-40	73	22	extent	extent	NOUN
jbi-40	73	23	of	of	ADP
jbi-40	73	24	the	the	DET
jbi-40	73	25	entire	entire	ADJ
jbi-40	73	26	studied	study	VERB
jbi-40	73	27	territory	territory	NOUN
jbi-40	73	28	increases	increase	NOUN
jbi-40	73	29	(	(	PUNCT
jbi-40	73	30	the	the	DET
jbi-40	73	31	relative	relative	ADJ
jbi-40	73	32	occurrence	occurrence	NOUN
jbi-40	73	33	area	area	NOUN
jbi-40	73	34	)	)	PUNCT
jbi-40	73	35	.	.	PUNCT
jbi-40	74	1	this	this	DET
jbi-40	74	2	point	point	NOUN
jbi-40	74	3	is	be	AUX
jbi-40	74	4	exemplified	exemplify	VERB
jbi-40	74	5	by	by	ADP
jbi-40	74	6	the	the	DET
jbi-40	74	7	model	model	NOUN
jbi-40	74	8	based	base	VERB
jbi-40	74	9	on	on	ADP
jbi-40	74	10	the	the	DET
jbi-40	74	11	southern	southern	ADJ
jbi-40	74	12	half	half	NOUN
jbi-40	74	13	of	of	ADP
jbi-40	74	14	the	the	DET
jbi-40	74	15	iberian	iberian	ADJ
jbi-40	74	16	peninsula	peninsula	NOUN
jbi-40	74	17	(	(	PUNCT
jbi-40	74	18	fig	fig	NOUN
jbi-40	74	19	.	.	PUNCT
jbi-40	75	1	2	2	NUM
jbi-40	75	2	)	)	PUNCT
jbi-40	75	3	.	.	PUNCT
jbi-40	76	1	for	for	ADP
jbi-40	76	2	the	the	DET
jbi-40	76	3	same	same	ADJ
jbi-40	76	4	species	specie	NOUN
jbi-40	76	5	,	,	PUNCT
jbi-40	76	6	a	a	DET
jbi-40	76	7	model	model	NOUN
jbi-40	76	8	built	build	VERB
jbi-40	76	9	at	at	ADP
jbi-40	76	10	a	a	DET
jbi-40	76	11	smaller	small	ADJ
jbi-40	76	12	extent	extent	NOUN
jbi-40	76	13	will	will	AUX
jbi-40	76	14	produce	produce	VERB
jbi-40	76	15	inferior	inferior	ADJ
jbi-40	76	16	results	result	NOUN
jbi-40	76	17	if	if	SCONJ
jbi-40	76	18	the	the	DET
jbi-40	76	19	absence	absence	NOUN
jbi-40	76	20	data	datum	NOUN
jbi-40	76	21	used	use	VERB
jbi-40	76	22	are	be	AUX
jbi-40	76	23	not	not	PART
jbi-40	76	24	reliable	reliable	ADJ
jbi-40	76	25	.	.	PUNCT
jbi-40	77	1	as	as	SCONJ
jbi-40	77	2	species	specie	NOUN
jbi-40	77	3	modeled	model	VERB
jbi-40	77	4	across	across	ADP
jbi-40	77	5	the	the	DET
jbi-40	77	6	same	same	ADJ
jbi-40	77	7	region	region	NOUN
jbi-40	77	8	will	will	AUX
jbi-40	77	9	frequently	frequently	ADV
jbi-40	77	10	differ	differ	VERB
jbi-40	77	11	in	in	ADP
jbi-40	77	12	relative	relative	ADJ
jbi-40	77	13	occurrence	occurrence	NOUN
jbi-40	77	14	area	area	NOUN
jbi-40	77	15	,	,	PUNCT
jbi-40	77	16	the	the	DET
jbi-40	77	17	accuracy	accuracy	NOUN
jbi-40	77	18	of	of	ADP
jbi-40	77	19	models	model	NOUN
jbi-40	77	20	results	result	NOUN
jbi-40	77	21	can	can	AUX
jbi-40	77	22	not	not	PART
jbi-40	77	23	be	be	AUX
jbi-40	77	24	compared	compare	VERB
jbi-40	77	25	among	among	ADP
jbi-40	77	26	species	specie	NOUN
jbi-40	77	27	(	(	PUNCT
jbi-40	77	28	lobo	lobo	PROPN
jbi-40	77	29	et	et	PROPN
jbi-40	77	30	al	al	PROPN
jbi-40	77	31	.	.	PROPN
jbi-40	77	32	2008	2008	NUM
jbi-40	77	33	)	)	PUNCT
jbi-40	77	34	,	,	PUNCT
jbi-40	77	35	particularly	particularly	ADV
jbi-40	77	36	when	when	SCONJ
jbi-40	77	37	random	random	ADJ
jbi-40	77	38	selection	selection	NOUN
jbi-40	77	39	of	of	ADP
jbi-40	77	40	absences	absence	NOUN
jbi-40	77	41	implies	imply	VERB
jbi-40	77	42	the	the	DET
jbi-40	77	43	choice	choice	NOUN
jbi-40	77	44	of	of	ADP
jbi-40	77	45	a	a	DET
jbi-40	77	46	high	high	ADJ
jbi-40	77	47	number	number	NOUN
jbi-40	77	48	of	of	ADP
jbi-40	77	49	false	false	ADJ
jbi-40	77	50	absences	absence	NOUN
jbi-40	77	51	.	.	PUNCT
jbi-40	78	1	while	while	SCONJ
jbi-40	78	2	recognizing	recognize	VERB
jbi-40	78	3	the	the	DET
jbi-40	78	4	relevance	relevance	NOUN
jbi-40	78	5	of	of	ADP
jbi-40	78	6	the	the	DET
jbi-40	78	7	search	search	NOUN
jbi-40	78	8	for	for	ADP
jbi-40	78	9	improved	improved	ADJ
jbi-40	78	10	modeling	modeling	NOUN
jbi-40	78	11	techniques	technique	NOUN
jbi-40	78	12	,	,	PUNCT
jbi-40	78	13	researchers	researcher	NOUN
jbi-40	78	14	must	must	AUX
jbi-40	78	15	not	not	PART
jbi-40	78	16	forget	forget	VERB
jbi-40	78	17	that	that	DET
jbi-40	78	18	model	model	NOUN
jbi-40	78	19	prediction	prediction	NOUN
jbi-40	78	20	quality	quality	NOUN
jbi-40	78	21	depends	depend	VERB
jbi-40	78	22	on	on	ADP
jbi-40	78	23	data	datum	NOUN
jbi-40	78	24	quality	quality	NOUN
jbi-40	78	25	,	,	PUNCT
jbi-40	78	26	and	and	CCONJ
jbi-40	78	27	that	that	SCONJ
jbi-40	78	28	species	specie	NOUN
jbi-40	78	29	’	'	PUNCT
jbi-40	78	30	absences	absence	NOUN
jbi-40	78	31	input	input	NOUN
jbi-40	78	32	into	into	ADP
jbi-40	78	33	such	such	ADJ
jbi-40	78	34	models	model	NOUN
jbi-40	78	35	should	should	AUX
jbi-40	78	36	be	be	AUX
jbi-40	78	37	as	as	ADV
jbi-40	78	38	reliable	reliable	ADJ
jbi-40	78	39	as	as	ADP
jbi-40	78	40	species	specie	NOUN
jbi-40	78	41	’	'	PUNCT
jbi-40	78	42	presences	presence	NOUN
jbi-40	78	43	.	.	PUNCT
jbi-40	79	1	among	among	ADP
jbi-40	79	2	other	other	ADJ
jbi-40	79	3	steps	step	NOUN
jbi-40	79	4	,	,	PUNCT
jbi-40	79	5	collaboration	collaboration	NOUN
jbi-40	79	6	between	between	ADP
jbi-40	79	7	modelers	modeler	NOUN
jbi-40	79	8	and	and	CCONJ
jbi-40	79	9	taxonomists	taxonomist	NOUN
jbi-40	79	10	in	in	ADP
jbi-40	79	11	designing	design	VERB
jbi-40	79	12	data	datum	NOUN
jbi-40	79	13	selection	selection	NOUN
jbi-40	79	14	,	,	PUNCT
jbi-40	79	15	and	and	CCONJ
jbi-40	79	16	databases	database	NOUN
jbi-40	79	17	compiling	compile	VERB
jbi-40	79	18	all	all	DET
jbi-40	79	19	available	available	ADJ
jbi-40	79	20	information	information	NOUN
jbi-40	79	21	can	can	AUX
jbi-40	79	22	allow	allow	VERB
jbi-40	79	23	assessment	assessment	NOUN
jbi-40	79	24	of	of	ADP
jbi-40	79	25	inventory	inventory	NOUN
jbi-40	79	26	completeness	completeness	NOUN
jbi-40	79	27	;	;	PUNCT
jbi-40	79	28	both	both	PRON
jbi-40	79	29	of	of	ADP
jbi-40	79	30	these	these	DET
jbi-40	79	31	points	point	NOUN
jbi-40	79	32	offer	offer	VERB
jbi-40	79	33	strategies	strategy	NOUN
jbi-40	79	34	towards	towards	ADP
jbi-40	79	35	better	well	ADJ
jbi-40	79	36	distribution	distribution	NOUN
jbi-40	79	37	hypotheses	hypothesis	NOUN
jbi-40	79	38	for	for	ADP
jbi-40	79	39	conservation	conservation	NOUN
jbi-40	79	40	purposes	purpose	NOUN
jbi-40	79	41	.	.	PUNCT
jbi-40	80	1	acknowledgments	acknowledgment	NOUN
jbi-40	80	2	this	this	DET
jbi-40	80	3	paper	paper	NOUN
jbi-40	80	4	was	be	AUX
jbi-40	80	5	supported	support	VERB
jbi-40	80	6	by	by	ADP
jbi-40	80	7	a	a	DET
jbi-40	80	8	fundación	fundación	PROPN
jbi-40	80	9	bbva	bbva	PROPN
jbi-40	80	10	project	project	NOUN
jbi-40	80	11	(	(	PUNCT
jbi-40	80	12	diseño	diseño	PROPN
jbi-40	80	13	de	de	X
jbi-40	80	14	una	una	PROPN
jbi-40	80	15	red	red	PROPN
jbi-40	80	16	de	de	PROPN
jbi-40	80	17	reservas	reservas	PROPN
jbi-40	80	18	para	para	PROPN
jbi-40	80	19	la	la	PROPN
jbi-40	80	20	protección	protección	PROPN
jbi-40	80	21	de	de	PROPN
jbi-40	80	22	la	la	PROPN
jbi-40	80	23	biodiversidad	biodiversidad	PROPN
jbi-40	80	24	en	en	PROPN
jbi-40	80	25	américa	américa	PROPN
jbi-40	80	26	austral	austral	PROPN
jbi-40	80	27	)	)	PUNCT
jbi-40	80	28	,	,	PUNCT
jbi-40	80	29	and	and	CCONJ
jbi-40	80	30	two	two	NUM
jbi-40	80	31	mec	mec	NOUN
jbi-40	80	32	projects	project	NOUN
jbi-40	80	33	(	(	PUNCT
jbi-40	80	34	cgl2004	cgl2004	NOUN
jbi-40	80	35	-	-	PUNCT
jbi-40	80	36	04309	04309	NUM
jbi-40	80	37	and	and	CCONJ
jbi-40	80	38	cgl2006	cgl2006	ADJ
jbi-40	80	39	-	-	PUNCT
jbi-40	80	40	09567	09567	NUM
jbi-40	80	41	/	/	SYM
jbi-40	80	42	bos	bo	NOUN
jbi-40	80	43	)	)	PUNCT
jbi-40	80	44	.	.	PUNCT
jbi-40	81	1	special	special	ADJ
jbi-40	81	2	thanks	thank	NOUN
jbi-40	81	3	to	to	ADP
jbi-40	81	4	alberto	alberto	PROPN
jbi-40	81	5	jiménez	jiménez	PROPN
jbi-40	81	6	valverde	valverde	PROPN
jbi-40	81	7	for	for	ADP
jbi-40	81	8	his	his	PRON
jbi-40	81	9	valuable	valuable	ADJ
jbi-40	81	10	comments	comment	NOUN
jbi-40	81	11	references	reference	NOUN
jbi-40	81	12	araújo	araújo	PROPN
jbi-40	81	13	,	,	PUNCT
jbi-40	81	14	m.	m.	PROPN
jbi-40	81	15	b.	b.	PROPN
jbi-40	81	16	and	and	CCONJ
jbi-40	81	17	a.	a.	PROPN
jbi-40	81	18	guisan	guisan	PROPN
jbi-40	81	19	.	.	PUNCT
jbi-40	82	1	2006	2006	NUM
jbi-40	82	2	.	.	PUNCT
jbi-40	83	1	five	five	NUM
jbi-40	83	2	(	(	PUNCT
jbi-40	83	3	or	or	CCONJ
jbi-40	83	4	so	so	ADV
jbi-40	83	5	)	)	PUNCT
jbi-40	83	6	challenges	challenge	NOUN
jbi-40	83	7	for	for	ADP
jbi-40	83	8	species	specie	NOUN
jbi-40	83	9	distribution	distribution	NOUN
jbi-40	83	10	modelling	modelling	NOUN
jbi-40	83	11	.	.	PUNCT
jbi-40	84	1	journal	journal	NOUN
jbi-40	84	2	of	of	ADP
jbi-40	84	3	biogeography	biogeography	NOUN
jbi-40	84	4	33:1677	33:1677	NUM
jbi-40	84	5	-	-	SYM
jbi-40	84	6	1688	1688	NUM
jbi-40	84	7	.	.	PUNCT
jbi-40	85	1	a	a	DET
jbi-40	85	2	b	b	NOUN
jbi-40	85	3	c	c	X
jbi-40	85	4	lobo	lobo	NOUN
jbi-40	85	5	–	–	PUNCT
jbi-40	85	6	more	more	ADJ
jbi-40	85	7	complex	complex	ADJ
jbi-40	85	8	models	model	NOUN
jbi-40	85	9	or	or	CCONJ
jbi-40	85	10	representative	representative	ADJ
jbi-40	85	11	data	datum	NOUN
jbi-40	85	12	?	?	PUNCT
jbi-40	86	1	18	18	NUM
jbi-40	86	2	barry	barry	PROPN
jbi-40	86	3	,	,	PUNCT
jbi-40	86	4	s.	s.	PROPN
jbi-40	86	5	and	and	CCONJ
jbi-40	86	6	j.	j.	PROPN
jbi-40	86	7	elith	elith	PROPN
jbi-40	86	8	.	.	PUNCT
jbi-40	87	1	2006	2006	NUM
jbi-40	87	2	.	.	PUNCT
jbi-40	88	1	error	error	NOUN
jbi-40	88	2	and	and	CCONJ
jbi-40	88	3	uncertainty	uncertainty	NOUN
jbi-40	88	4	in	in	ADP
jbi-40	88	5	habitat	habitat	NOUN
jbi-40	88	6	models	model	NOUN
jbi-40	88	7	.	.	PUNCT
jbi-40	89	1	journal	journal	NOUN
jbi-40	89	2	of	of	ADP
jbi-40	89	3	applied	applied	ADJ
jbi-40	89	4	ecology	ecology	NOUN
jbi-40	89	5	43:413	43:413	PROPN
jbi-40	89	6	-	-	PUNCT
jbi-40	89	7	423	423	NUM
jbi-40	89	8	.	.	PUNCT
jbi-40	90	1	brotons	broton	NOUN
jbi-40	90	2	,	,	PUNCT
jbi-40	90	3	l.	l.	PROPN
jbi-40	90	4	,	,	PUNCT
jbi-40	90	5	w.	w.	PROPN
jbi-40	90	6	thuiller	thuiller	NOUN
jbi-40	90	7	,	,	PUNCT
jbi-40	90	8	m.	m.	PROPN
jbi-40	90	9	b.	b.	PROPN
jbi-40	90	10	araújo	araújo	PROPN
jbi-40	90	11	,	,	PUNCT
jbi-40	90	12	and	and	CCONJ
jbi-40	90	13	a.	a.	PROPN
jbi-40	90	14	h.	h.	PROPN
jbi-40	90	15	hirzel	hirzel	PROPN
jbi-40	90	16	.	.	PUNCT
jbi-40	91	1	2004	2004	NUM
jbi-40	91	2	.	.	PUNCT
jbi-40	92	1	presence	presence	NOUN
jbi-40	92	2	-	-	PUNCT
jbi-40	92	3	absence	absence	NOUN
jbi-40	92	4	versus	versus	ADP
jbi-40	92	5	presence	presence	NOUN
jbi-40	92	6	-	-	PUNCT
jbi-40	92	7	only	only	ADV
jbi-40	92	8	modelling	model	VERB
jbi-40	92	9	methods	method	NOUN
jbi-40	92	10	for	for	ADP
jbi-40	92	11	predicting	predict	VERB
jbi-40	92	12	bird	bird	NOUN
jbi-40	92	13	habitat	habitat	NOUN
jbi-40	92	14	suitability	suitability	NOUN
jbi-40	92	15	.	.	PUNCT
jbi-40	93	1	ecography	ecography	NOUN
jbi-40	93	2	27:437	27:437	NUM
jbi-40	93	3	-	-	SYM
jbi-40	93	4	448	448	NUM
jbi-40	93	5	.	.	PUNCT
jbi-40	94	1	chefaoui	chefaoui	ADV
jbi-40	94	2	,	,	PUNCT
jbi-40	94	3	r.	r.	PROPN
jbi-40	94	4	m.	m.	PROPN
jbi-40	94	5	and	and	CCONJ
jbi-40	94	6	j.	j.	PROPN
jbi-40	94	7	m.	m.	PROPN
jbi-40	94	8	lobo	lobo	PROPN
jbi-40	94	9	.	.	PROPN
jbi-40	94	10	2008	2008	NUM
jbi-40	94	11	.	.	PUNCT
jbi-40	95	1	assessing	assess	VERB
jbi-40	95	2	the	the	DET
jbi-40	95	3	effects	effect	NOUN
jbi-40	95	4	of	of	ADP
jbi-40	95	5	pseudo	pseudo	NOUN
jbi-40	95	6	-	-	NOUN
jbi-40	95	7	absences	absence	NOUN
jbi-40	95	8	on	on	ADP
jbi-40	95	9	predictive	predictive	ADJ
jbi-40	95	10	distribution	distribution	NOUN
jbi-40	95	11	model	model	NOUN
jbi-40	95	12	performance	performance	NOUN
jbi-40	95	13	.	.	PUNCT
jbi-40	96	1	ecological	ecological	ADJ
jbi-40	96	2	modelling	model	VERB
jbi-40	96	3	210	210	NUM
jbi-40	96	4	:	:	PUNCT
jbi-40	96	5	478	478	NUM
jbi-40	96	6	-	-	NUM
jbi-40	96	7	486	486	NUM
jbi-40	96	8	.	.	PUNCT
jbi-40	97	1	colwell	colwell	PROPN
jbi-40	97	2	,	,	PUNCT
jbi-40	97	3	r.	r.	PROPN
jbi-40	97	4	k.	k.	PROPN
jbi-40	97	5	and	and	CCONJ
jbi-40	97	6	j.	j.	PROPN
jbi-40	97	7	a.	a.	PROPN
jbi-40	97	8	coddington	coddington	PROPN
jbi-40	97	9	.	.	PUNCT
jbi-40	97	10	1994	1994	NUM
jbi-40	97	11	.	.	PUNCT
jbi-40	98	1	estimating	estimate	VERB
jbi-40	98	2	terrestrial	terrestrial	ADJ
jbi-40	98	3	biodiversity	biodiversity	NOUN
jbi-40	98	4	through	through	ADP
jbi-40	98	5	extrapolation	extrapolation	NOUN
jbi-40	98	6	.	.	PUNCT
jbi-40	99	1	philosophical	philosophical	ADJ
jbi-40	99	2	transactions	transaction	NOUN
jbi-40	99	3	of	of	ADP
jbi-40	99	4	the	the	DET
jbi-40	99	5	royal	royal	ADJ
jbi-40	99	6	society	society	NOUN
jbi-40	99	7	of	of	ADP
jbi-40	99	8	london	london	PROPN
jbi-40	99	9	b	b	PROPN
jbi-40	99	10	345:101	345:101	PROPN
jbi-40	99	11	-	-	PUNCT
jbi-40	99	12	118	118	NUM
jbi-40	99	13	.	.	PUNCT
jbi-40	100	1	dennis	dennis	PROPN
jbi-40	100	2	,	,	PUNCT
jbi-40	100	3	r.	r.	PROPN
jbi-40	100	4	l.	l.	PROPN
jbi-40	100	5	h.	h.	PROPN
jbi-40	100	6	,	,	PUNCT
jbi-40	100	7	t.	t.	PROPN
jbi-40	100	8	h.	h.	PROPN
jbi-40	100	9	sparks	spark	VERB
jbi-40	100	10	,	,	PUNCT
jbi-40	100	11	and	and	CCONJ
jbi-40	100	12	p.	p.	NOUN
jbi-40	100	13	hardy	hardy	ADJ
jbi-40	100	14	.	.	PUNCT
jbi-40	101	1	1999	1999	NUM
jbi-40	101	2	.	.	PUNCT
jbi-40	102	1	bias	bias	NOUN
jbi-40	102	2	in	in	ADP
jbi-40	102	3	butterfly	butterfly	NOUN
jbi-40	102	4	distribution	distribution	NOUN
jbi-40	102	5	maps	map	NOUN
jbi-40	102	6	:	:	PUNCT
jbi-40	102	7	the	the	DET
jbi-40	102	8	effects	effect	NOUN
jbi-40	102	9	of	of	ADP
jbi-40	102	10	sampling	sample	VERB
jbi-40	102	11	effort	effort	NOUN
jbi-40	102	12	.	.	PUNCT
jbi-40	103	1	journal	journal	NOUN
jbi-40	103	2	of	of	ADP
jbi-40	103	3	insect	insect	NOUN
jbi-40	103	4	conservation	conservation	NOUN
jbi-40	103	5	3:33	3:33	NUM
jbi-40	103	6	-	-	SYM
jbi-40	103	7	42	42	NUM
jbi-40	103	8	.	.	PUNCT
jbi-40	104	1	dennis	dennis	PROPN
jbi-40	104	2	,	,	PUNCT
jbi-40	104	3	r.	r.	PROPN
jbi-40	104	4	l.	l.	PROPN
jbi-40	104	5	h.	h.	PROPN
jbi-40	104	6	and	and	CCONJ
jbi-40	104	7	c.	c.	PROPN
jbi-40	104	8	d.	d.	PROPN
jbi-40	104	9	thomas	thomas	PROPN
jbi-40	104	10	.	.	PROPN
jbi-40	105	1	2000	2000	NUM
jbi-40	105	2	.	.	PUNCT
jbi-40	106	1	bias	bias	NOUN
jbi-40	106	2	in	in	ADP
jbi-40	106	3	butterfly	butterfly	NOUN
jbi-40	106	4	distribution	distribution	NOUN
jbi-40	106	5	maps	map	NOUN
jbi-40	106	6	:	:	PUNCT
jbi-40	106	7	the	the	DET
jbi-40	106	8	influence	influence	NOUN
jbi-40	106	9	of	of	ADP
jbi-40	106	10	hot	hot	ADJ
jbi-40	106	11	spots	spot	NOUN
jbi-40	106	12	and	and	CCONJ
jbi-40	106	13	recorder	recorder	NOUN
jbi-40	106	14	's	's	PART
jbi-40	106	15	home	home	NOUN
jbi-40	106	16	range	range	NOUN
jbi-40	106	17	.	.	PUNCT
jbi-40	107	1	journal	journal	NOUN
jbi-40	107	2	of	of	ADP
jbi-40	107	3	insect	insect	NOUN
jbi-40	107	4	conservation	conservation	NOUN
jbi-40	107	5	4:73	4:73	NUM
jbi-40	107	6	-	-	SYM
jbi-40	107	7	77	77	NUM
jbi-40	107	8	.	.	PUNCT
jbi-40	108	1	drake	drake	PROPN
jbi-40	108	2	,	,	PUNCT
jbi-40	108	3	j.	j.	PROPN
jbi-40	108	4	m.	m.	PROPN
jbi-40	108	5	,	,	PUNCT
jbi-40	108	6	c.	c.	PROPN
jbi-40	108	7	randin	randin	ADV
jbi-40	108	8	,	,	PUNCT
jbi-40	108	9	and	and	CCONJ
jbi-40	108	10	a.	a.	NOUN
jbi-40	108	11	guisan	guisan	PROPN
jbi-40	108	12	.	.	PUNCT
jbi-40	109	1	2006	2006	NUM
jbi-40	109	2	.	.	PUNCT
jbi-40	110	1	modelling	model	VERB
jbi-40	110	2	ecological	ecological	ADJ
jbi-40	110	3	niches	niche	NOUN
jbi-40	110	4	with	with	ADP
jbi-40	110	5	support	support	NOUN
jbi-40	110	6	vector	vector	NOUN
jbi-40	110	7	machines	machine	NOUN
jbi-40	110	8	.	.	PUNCT
jbi-40	111	1	journal	journal	PROPN
jbi-40	111	2	of	of	ADP
jbi-40	111	3	applied	applied	ADJ
jbi-40	111	4	ecology	ecology	NOUN
jbi-40	111	5	43:424	43:424	NUM
jbi-40	111	6	-	-	PUNCT
jbi-40	111	7	432	432	NUM
jbi-40	111	8	.	.	PUNCT
jbi-40	112	1	elith	elith	NOUN
jbi-40	112	2	,	,	PUNCT
jbi-40	112	3	j.	j.	PROPN
jbi-40	112	4	,	,	PUNCT
jbi-40	112	5	c.	c.	PROPN
jbi-40	112	6	h.	h.	PROPN
jbi-40	112	7	graham	graham	PROPN
jbi-40	112	8	,	,	PUNCT
jbi-40	112	9	r.	r.	PROPN
jbi-40	112	10	p.	p.	PROPN
jbi-40	112	11	anderson	anderson	PROPN
jbi-40	112	12	,	,	PUNCT
jbi-40	112	13	m.	m.	NOUN
jbi-40	112	14	dudík	dudík	PROPN
jbi-40	112	15	,	,	PUNCT
jbi-40	112	16	s.	s.	PROPN
jbi-40	112	17	ferrier	ferrier	PROPN
jbi-40	112	18	,	,	PUNCT
jbi-40	112	19	a.	a.	NOUN
jbi-40	112	20	guisan	guisan	PROPN
jbi-40	112	21	,	,	PUNCT
jbi-40	112	22	r.	r.	PROPN
jbi-40	112	23	j.	j.	PROPN
jbi-40	112	24	hijmans	hijmans	PROPN
jbi-40	112	25	,	,	PUNCT
jbi-40	112	26	f.	f.	PROPN
jbi-40	112	27	huettmann	huettmann	PROPN
jbi-40	112	28	,	,	PUNCT
jbi-40	112	29	j.	j.	PROPN
jbi-40	112	30	r.	r.	PROPN
jbi-40	112	31	leathwick	leathwick	PROPN
jbi-40	112	32	,	,	PUNCT
jbi-40	112	33	a.	a.	PROPN
jbi-40	112	34	lehmann	lehmann	PROPN
jbi-40	112	35	,	,	PUNCT
jbi-40	112	36	j.	j.	PROPN
jbi-40	112	37	li	li	PROPN
jbi-40	112	38	,	,	PUNCT
jbi-40	112	39	l.	l.	PROPN
jbi-40	112	40	g.	g.	PROPN
jbi-40	112	41	lohmann	lohmann	PROPN
jbi-40	112	42	,	,	PUNCT
jbi-40	112	43	b.	b.	PROPN
jbi-40	112	44	a.	a.	PROPN
jbi-40	112	45	loiselle	loiselle	PROPN
jbi-40	112	46	,	,	PUNCT
jbi-40	112	47	g.	g.	PROPN
jbi-40	112	48	manion	manion	PROPN
jbi-40	112	49	,	,	PUNCT
jbi-40	112	50	c.	c.	PROPN
jbi-40	112	51	moritz	moritz	PROPN
jbi-40	112	52	,	,	PUNCT
jbi-40	112	53	m.	m.	NOUN
jbi-40	112	54	nakamura	nakamura	PROPN
jbi-40	112	55	,	,	PUNCT
jbi-40	112	56	y.	y.	PROPN
jbi-40	112	57	nakazawa	nakazawa	PROPN
jbi-40	112	58	,	,	PUNCT
jbi-40	112	59	j.	j.	PROPN
jbi-40	112	60	m.	m.	PROPN
jbi-40	112	61	overton	overton	PROPN
jbi-40	112	62	,	,	PUNCT
jbi-40	112	63	a.	a.	PROPN
jbi-40	112	64	t.	t.	PROPN
jbi-40	112	65	peterson	peterson	PROPN
jbi-40	112	66	,	,	PUNCT
jbi-40	112	67	s.	s.	PROPN
jbi-40	112	68	j.	j.	PROPN
jbi-40	112	69	phillips	phillips	PROPN
jbi-40	112	70	,	,	PUNCT
jbi-40	112	71	k.	k.	PROPN
jbi-40	112	72	richardson	richardson	PROPN
jbi-40	112	73	,	,	PUNCT
jbi-40	112	74	r.	r.	PROPN
jbi-40	112	75	scachetti	scachetti	PROPN
jbi-40	112	76	-	-	PUNCT
jbi-40	112	77	pereira	pereira	PROPN
jbi-40	112	78	,	,	PUNCT
jbi-40	112	79	r.	r.	PROPN
jbi-40	112	80	e.	e.	PROPN
jbi-40	112	81	schapire	schapire	PROPN
jbi-40	112	82	,	,	PUNCT
jbi-40	112	83	j.	j.	PROPN
jbi-40	112	84	soberón	soberón	PROPN
jbi-40	112	85	,	,	PUNCT
jbi-40	112	86	s.	s.	PROPN
jbi-40	112	87	williams	williams	PROPN
jbi-40	112	88	,	,	PUNCT
jbi-40	112	89	m.	m.	PROPN
jbi-40	112	90	s.	s.	PROPN
jbi-40	112	91	wisz	wisz	PROPN
jbi-40	112	92	,	,	PUNCT
jbi-40	112	93	and	and	CCONJ
jbi-40	112	94	n.	n.	PROPN
jbi-40	112	95	e.	e.	PROPN
jbi-40	112	96	zimmermann	zimmermann	PROPN
jbi-40	112	97	.	.	PUNCT
jbi-40	113	1	2006	2006	NUM
jbi-40	113	2	.	.	PUNCT
jbi-40	114	1	novel	novel	ADJ
jbi-40	114	2	methods	method	NOUN
jbi-40	114	3	improve	improve	VERB
jbi-40	114	4	prediction	prediction	NOUN
jbi-40	114	5	of	of	ADP
jbi-40	114	6	species	specie	NOUN
jbi-40	114	7	’	'	PUNCT
jbi-40	114	8	distributions	distribution	NOUN
jbi-40	114	9	from	from	ADP
jbi-40	114	10	occurrence	occurrence	NOUN
jbi-40	114	11	data	datum	NOUN
jbi-40	114	12	.	.	PUNCT
jbi-40	115	1	ecography	ecography	NOUN
jbi-40	115	2	29:129	29:129	NUM
jbi-40	115	3	-	-	SYM
jbi-40	115	4	151	151	NUM
jbi-40	115	5	.	.	PUNCT
jbi-40	115	6	engler	engler	PROPN
jbi-40	115	7	,	,	PUNCT
jbi-40	115	8	r.	r.	PROPN
jbi-40	115	9	,	,	PUNCT
jbi-40	115	10	a.	a.	PROPN
jbi-40	115	11	guisan	guisan	PROPN
jbi-40	115	12	,	,	PUNCT
jbi-40	115	13	and	and	CCONJ
jbi-40	115	14	l.	l.	PROPN
jbi-40	115	15	rechsteiner	rechsteiner	PROPN
jbi-40	115	16	.	.	PUNCT
jbi-40	116	1	2004	2004	NUM
jbi-40	116	2	.	.	PUNCT
jbi-40	117	1	an	an	DET
jbi-40	117	2	improved	improved	ADJ
jbi-40	117	3	approach	approach	NOUN
jbi-40	117	4	for	for	ADP
jbi-40	117	5	predicting	predict	VERB
jbi-40	117	6	the	the	DET
jbi-40	117	7	distribution	distribution	NOUN
jbi-40	117	8	of	of	ADP
jbi-40	117	9	rare	rare	ADJ
jbi-40	117	10	and	and	CCONJ
jbi-40	117	11	endangered	endangered	ADJ
jbi-40	117	12	species	specie	NOUN
jbi-40	117	13	from	from	ADP
jbi-40	117	14	occurrence	occurrence	NOUN
jbi-40	117	15	and	and	CCONJ
jbi-40	117	16	pseudo	pseudo	NOUN
jbi-40	117	17	-	-	NOUN
jbi-40	117	18	absence	absence	NOUN
jbi-40	117	19	data	datum	NOUN
jbi-40	117	20	.	.	PUNCT
jbi-40	118	1	journal	journal	PROPN
jbi-40	118	2	of	of	ADP
jbi-40	118	3	applied	apply	VERB
jbi-40	118	4	ecology	ecology	NOUN
jbi-40	118	5	41:263	41:263	NUM
jbi-40	118	6	-	-	SYM
jbi-40	118	7	274	274	NUM
jbi-40	118	8	.	.	PUNCT
jbi-40	119	1	graham	graham	PROPN
jbi-40	119	2	,	,	PUNCT
jbi-40	119	3	c.	c.	PROPN
jbi-40	119	4	h.	h.	PROPN
jbi-40	119	5	,	,	PUNCT
jbi-40	119	6	s.	s.	PROPN
jbi-40	119	7	ferrier	ferrier	PROPN
jbi-40	119	8	,	,	PUNCT
jbi-40	119	9	f.	f.	PROPN
jbi-40	119	10	huettman	huettman	PROPN
jbi-40	119	11	,	,	PUNCT
jbi-40	119	12	c.	c.	PROPN
jbi-40	119	13	moritz	moritz	PROPN
jbi-40	119	14	,	,	PUNCT
jbi-40	119	15	and	and	CCONJ
jbi-40	119	16	a.	a.	NOUN
jbi-40	119	17	t.	t.	PROPN
jbi-40	119	18	peterson	peterson	PROPN
jbi-40	119	19	.	.	PUNCT
jbi-40	119	20	2004	2004	NUM
jbi-40	119	21	.	.	PUNCT
jbi-40	120	1	new	new	ADJ
jbi-40	120	2	developments	development	NOUN
jbi-40	120	3	in	in	ADP
jbi-40	120	4	museum	museum	NOUN
jbi-40	120	5	-	-	PUNCT
jbi-40	120	6	based	base	VERB
jbi-40	120	7	informatics	informatic	NOUN
jbi-40	120	8	and	and	CCONJ
jbi-40	120	9	applications	application	NOUN
jbi-40	120	10	in	in	ADP
jbi-40	120	11	biodiversity	biodiversity	NOUN
jbi-40	120	12	analysis	analysis	NOUN
jbi-40	120	13	.	.	PUNCT
jbi-40	121	1	trends	trend	NOUN
jbi-40	121	2	in	in	ADP
jbi-40	121	3	ecology	ecology	NOUN
jbi-40	121	4	and	and	CCONJ
jbi-40	121	5	evolution	evolution	NOUN
jbi-40	121	6	19:497	19:497	NUM
jbi-40	121	7	-	-	SYM
jbi-40	121	8	503	503	NUM
jbi-40	121	9	.	.	PUNCT
jbi-40	122	1	guisan	guisan	PROPN
jbi-40	122	2	,	,	PUNCT
jbi-40	122	3	a.	a.	NOUN
jbi-40	122	4	and	and	CCONJ
jbi-40	122	5	n.	n.	PROPN
jbi-40	122	6	e.	e.	PROPN
jbi-40	122	7	zimmermann	zimmermann	PROPN
jbi-40	122	8	.	.	PUNCT
jbi-40	123	1	2000	2000	NUM
jbi-40	123	2	.	.	PUNCT
jbi-40	124	1	predictive	predictive	ADJ
jbi-40	124	2	habitat	habitat	NOUN
jbi-40	124	3	distribution	distribution	NOUN
jbi-40	124	4	models	model	NOUN
jbi-40	124	5	in	in	ADP
jbi-40	124	6	ecology	ecology	NOUN
jbi-40	124	7	.	.	PUNCT
jbi-40	125	1	ecological	ecological	ADJ
jbi-40	125	2	modelling	model	VERB
jbi-40	125	3	135:147	135:147	PROPN
jbi-40	125	4	-	-	SYM
jbi-40	125	5	186	186	NUM
jbi-40	125	6	.	.	PUNCT
jbi-40	126	1	hanski	hanski	PROPN
jbi-40	126	2	,	,	PUNCT
jbi-40	126	3	i.	i.	PROPN
jbi-40	126	4	,	,	PUNCT
jbi-40	126	5	1998	1998	NUM
jbi-40	126	6	.	.	PUNCT
jbi-40	127	1	metapopulation	metapopulation	NOUN
jbi-40	127	2	dynamics	dynamic	NOUN
jbi-40	127	3	.	.	PUNCT
jbi-40	128	1	nature	nature	NOUN
jbi-40	128	2	396:41	396:41	NUM
jbi-40	128	3	-	-	SYM
jbi-40	128	4	49	49	NUM
jbi-40	128	5	.	.	PUNCT
jbi-40	129	1	hortal	hortal	PROPN
jbi-40	129	2	,	,	PUNCT
jbi-40	129	3	j.	j.	PROPN
jbi-40	129	4	,	,	PUNCT
jbi-40	129	5	borges	borge	NOUN
jbi-40	129	6	,	,	PUNCT
jbi-40	129	7	p.	p.	NOUN
jbi-40	129	8	a.	a.	NOUN
jbi-40	129	9	,	,	PUNCT
jbi-40	129	10	and	and	CCONJ
jbi-40	129	11	c.	c.	PROPN
jbi-40	129	12	gaspar	gaspar	PROPN
jbi-40	129	13	.	.	PUNCT
jbi-40	130	1	2006	2006	NUM
jbi-40	130	2	.	.	PUNCT
jbi-40	131	1	evaluating	evaluate	VERB
jbi-40	131	2	the	the	DET
jbi-40	131	3	performance	performance	NOUN
jbi-40	131	4	of	of	ADP
jbi-40	131	5	species	specie	NOUN
jbi-40	131	6	richness	richness	NOUN
jbi-40	131	7	estimators	estimator	NOUN
jbi-40	131	8	:	:	PUNCT
jbi-40	131	9	sensitivity	sensitivity	NOUN
jbi-40	131	10	to	to	PART
jbi-40	131	11	sample	sample	VERB
jbi-40	131	12	grain	grain	NOUN
jbi-40	131	13	size	size	NOUN
jbi-40	131	14	.	.	PUNCT
jbi-40	132	1	journal	journal	NOUN
jbi-40	132	2	of	of	ADP
jbi-40	132	3	animal	animal	NOUN
jbi-40	132	4	ecology	ecology	NOUN
jbi-40	132	5	75:274	75:274	NUM
jbi-40	132	6	-	-	SYM
jbi-40	132	7	287	287	NUM
jbi-40	132	8	.	.	PUNCT
jbi-40	133	1	jiménez	jiménez	PROPN
jbi-40	133	2	-	-	PUNCT
jbi-40	133	3	valverde	valverde	PROPN
jbi-40	133	4	,	,	PUNCT
jbi-40	133	5	a.	a.	PROPN
jbi-40	133	6	and	and	CCONJ
jbi-40	133	7	j.	j.	PROPN
jbi-40	133	8	m.	m.	PROPN
jbi-40	133	9	lobo	lobo	PROPN
jbi-40	133	10	.	.	PUNCT
jbi-40	134	1	2006	2006	NUM
jbi-40	134	2	.	.	PUNCT
jbi-40	135	1	the	the	DET
jbi-40	135	2	ghost	ghost	NOUN
jbi-40	135	3	of	of	ADP
jbi-40	135	4	unbalanced	unbalanced	ADJ
jbi-40	135	5	species	species	NOUN
jbi-40	135	6	distribution	distribution	NOUN
jbi-40	135	7	data	datum	NOUN
jbi-40	135	8	in	in	ADP
jbi-40	135	9	geographic	geographic	ADJ
jbi-40	135	10	model	model	NOUN
jbi-40	135	11	predictions	prediction	NOUN
jbi-40	135	12	.	.	PUNCT
jbi-40	136	1	diversity	diversity	NOUN
jbi-40	136	2	and	and	CCONJ
jbi-40	136	3	distributions	distribution	NOUN
jbi-40	136	4	12:521	12:521	NUM
jbi-40	136	5	-	-	SYM
jbi-40	136	6	524	524	NUM
jbi-40	136	7	.	.	PUNCT
jbi-40	137	1	jiménez	jiménez	PROPN
jbi-40	137	2	-	-	PUNCT
jbi-40	137	3	valverde	valverde	PROPN
jbi-40	137	4	,	,	PUNCT
jbi-40	137	5	a.	a.	PROPN
jbi-40	137	6	and	and	CCONJ
jbi-40	137	7	j.	j.	PROPN
jbi-40	137	8	m.	m.	PROPN
jbi-40	137	9	lobo	lobo	PROPN
jbi-40	137	10	.	.	PROPN
jbi-40	137	11	2007	2007	NUM
jbi-40	137	12	.	.	PUNCT
jbi-40	138	1	threshold	threshold	NOUN
jbi-40	138	2	criteria	criterion	NOUN
jbi-40	138	3	for	for	ADP
jbi-40	138	4	conversion	conversion	NOUN
jbi-40	138	5	of	of	ADP
jbi-40	138	6	probability	probability	NOUN
jbi-40	138	7	of	of	ADP
jbi-40	138	8	species	specie	NOUN
jbi-40	138	9	presence	presence	NOUN
jbi-40	138	10	to	to	ADP
jbi-40	138	11	either	either	ADV
jbi-40	138	12	-	-	PUNCT
jbi-40	138	13	or	or	CCONJ
jbi-40	138	14	presenceabsence	presenceabsence	NOUN
jbi-40	138	15	.	.	PUNCT
jbi-40	139	1	acta	acta	PROPN
jbi-40	139	2	oecologica	oecologica	PROPN
jbi-40	139	3	31:361	31:361	PROPN
jbi-40	139	4	-	-	SYM
jbi-40	139	5	369	369	NUM
jbi-40	139	6	.	.	PUNCT
jbi-40	140	1	lobo	lobo	PROPN
jbi-40	140	2	,	,	PUNCT
jbi-40	140	3	j.	j.	PROPN
jbi-40	140	4	m.	m.	PROPN
jbi-40	140	5	,	,	PUNCT
jbi-40	140	6	a.	a.	PROPN
jbi-40	140	7	jiménez	jiménez	PROPN
jbi-40	140	8	-	-	PUNCT
jbi-40	140	9	valverde	valverde	PROPN
jbi-40	140	10	,	,	PUNCT
jbi-40	140	11	and	and	CCONJ
jbi-40	140	12	r.	r.	PROPN
jbi-40	140	13	real	real	PROPN
jbi-40	140	14	.	.	PUNCT
jbi-40	141	1	2008	2008	NUM
jbi-40	141	2	.	.	PUNCT
jbi-40	142	1	auc	auc	NOUN
jbi-40	142	2	:	:	PUNCT
jbi-40	142	3	a	a	DET
jbi-40	142	4	misleading	misleading	ADJ
jbi-40	142	5	measure	measure	NOUN
jbi-40	142	6	of	of	ADP
jbi-40	142	7	the	the	DET
jbi-40	142	8	performance	performance	NOUN
jbi-40	142	9	of	of	ADP
jbi-40	142	10	predictive	predictive	ADJ
jbi-40	142	11	distribution	distribution	NOUN
jbi-40	142	12	models	model	NOUN
jbi-40	142	13	.	.	PUNCT
jbi-40	143	1	global	global	ADJ
jbi-40	143	2	ecology	ecology	NOUN
jbi-40	143	3	and	and	CCONJ
jbi-40	143	4	biogeography	biogeography	NOUN
jbi-40	143	5	17	17	NUM
jbi-40	143	6	:	:	PUNCT
jbi-40	143	7	145151	145151	NUM
jbi-40	143	8	.	.	PUNCT
jbi-40	144	1	martínez	martínez	PROPN
jbi-40	144	2	-	-	PUNCT
jbi-40	144	3	meyer	meyer	PROPN
jbi-40	144	4	,	,	PUNCT
jbi-40	144	5	e.	e.	PROPN
jbi-40	144	6	2005	2005	NUM
jbi-40	144	7	.	.	PUNCT
jbi-40	145	1	climate	climate	NOUN
jbi-40	145	2	change	change	NOUN
jbi-40	145	3	and	and	CCONJ
jbi-40	145	4	biodiversity	biodiversity	NOUN
jbi-40	145	5	:	:	PUNCT
jbi-40	145	6	some	some	DET
jbi-40	145	7	considerations	consideration	NOUN
jbi-40	145	8	in	in	ADP
jbi-40	145	9	forecasting	forecast	VERB
jbi-40	145	10	shifts	shift	NOUN
jbi-40	145	11	in	in	ADP
jbi-40	145	12	species	specie	NOUN
jbi-40	145	13	potential	potential	ADJ
jbi-40	145	14	distributions	distribution	NOUN
jbi-40	145	15	.	.	PUNCT
jbi-40	146	1	biodiversity	biodiversity	NOUN
jbi-40	146	2	informatics	informatic	NOUN
jbi-40	146	3	2:42	2:42	NUM
jbi-40	146	4	-	-	SYM
jbi-40	146	5	55	55	NUM
jbi-40	146	6	.	.	PUNCT
jbi-40	147	1	pearson	pearson	PROPN
jbi-40	147	2	,	,	PUNCT
jbi-40	147	3	r.	r.	PROPN
jbi-40	147	4	g.	g.	PROPN
jbi-40	147	5	,	,	PUNCT
jbi-40	147	6	w.	w.	PROPN
jbi-40	147	7	thuiller	thuiller	NOUN
jbi-40	147	8	,	,	PUNCT
jbi-40	147	9	m.	m.	PROPN
jbi-40	147	10	b.	b.	PROPN
jbi-40	147	11	araújo	araújo	PROPN
jbi-40	147	12	,	,	PUNCT
jbi-40	147	13	e.	e.	PROPN
jbi-40	147	14	martinez	martinez	PROPN
jbi-40	147	15	-	-	PUNCT
jbi-40	147	16	meyer	meyer	PROPN
jbi-40	147	17	,	,	PUNCT
jbi-40	147	18	l.	l.	PROPN
jbi-40	147	19	brotons	brotons	PROPN
jbi-40	147	20	,	,	PUNCT
jbi-40	147	21	c.	c.	PROPN
jbi-40	147	22	mcclean	mcclean	PROPN
jbi-40	147	23	,	,	PUNCT
jbi-40	147	24	l.	l.	PROPN
jbi-40	147	25	miles	miles	PROPN
jbi-40	147	26	,	,	PUNCT
jbi-40	147	27	p.	p.	NOUN
jbi-40	147	28	segurado	segurado	NOUN
jbi-40	147	29	,	,	PUNCT
jbi-40	147	30	t.	t.	PROPN
jbi-40	147	31	p.	p.	PROPN
jbi-40	147	32	dawson	dawson	PROPN
jbi-40	147	33	,	,	PUNCT
jbi-40	147	34	and	and	CCONJ
jbi-40	147	35	d.	d.	PROPN
jbi-40	147	36	c.	c.	PROPN
jbi-40	147	37	lees	lee	NOUN
jbi-40	147	38	.	.	PUNCT
jbi-40	148	1	2006	2006	NUM
jbi-40	148	2	.	.	PUNCT
jbi-40	149	1	model	model	NOUN
jbi-40	149	2	-	-	PUNCT
jbi-40	149	3	based	base	VERB
jbi-40	149	4	uncertainty	uncertainty	NOUN
jbi-40	149	5	in	in	ADP
jbi-40	149	6	species	specie	NOUN
jbi-40	149	7	range	range	NOUN
jbi-40	149	8	prediction	prediction	NOUN
jbi-40	149	9	.	.	PUNCT
jbi-40	150	1	journal	journal	NOUN
jbi-40	150	2	of	of	ADP
jbi-40	150	3	biogeography	biogeography	NOUN
jbi-40	150	4	33:1704	33:1704	NUM
jbi-40	150	5	-	-	SYM
jbi-40	150	6	1711	1711	NUM
jbi-40	150	7	.	.	PUNCT
jbi-40	151	1	peterson	peterson	PROPN
jbi-40	151	2	,	,	PUNCT
jbi-40	151	3	a.	a.	NOUN
jbi-40	151	4	t.	t.	PROPN
jbi-40	151	5	2003	2003	NUM
jbi-40	151	6	.	.	PUNCT
jbi-40	152	1	predicting	predict	VERB
jbi-40	152	2	the	the	DET
jbi-40	152	3	geography	geography	NOUN
jbi-40	152	4	of	of	ADP
jbi-40	152	5	species	specie	NOUN
jbi-40	152	6	’	'	PUNCT
jbi-40	152	7	invasions	invasion	NOUN
jbi-40	152	8	vias	via	NOUN
jbi-40	152	9	ecological	ecological	ADJ
jbi-40	152	10	niche	niche	NOUN
jbi-40	152	11	modelling	modelling	NOUN
jbi-40	152	12	.	.	PUNCT
jbi-40	153	1	quarterly	quarterly	ADJ
jbi-40	153	2	review	review	NOUN
jbi-40	153	3	of	of	ADP
jbi-40	153	4	biology	biology	NOUN
jbi-40	153	5	78:419	78:419	NUM
jbi-40	153	6	-	-	SYM
jbi-40	153	7	433	433	NUM
jbi-40	153	8	.	.	PUNCT
jbi-40	154	1	peterson	peterson	PROPN
jbi-40	154	2	,	,	PUNCT
jbi-40	154	3	a.	a.	NOUN
jbi-40	154	4	t.	t.	PROPN
jbi-40	154	5	2006	2006	NUM
jbi-40	154	6	.	.	PUNCT
jbi-40	155	1	uses	use	NOUN
jbi-40	155	2	and	and	CCONJ
jbi-40	155	3	requirements	requirement	NOUN
jbi-40	155	4	of	of	ADP
jbi-40	155	5	ecological	ecological	ADJ
jbi-40	155	6	niche	niche	NOUN
jbi-40	155	7	models	model	NOUN
jbi-40	155	8	and	and	CCONJ
jbi-40	155	9	related	relate	VERB
jbi-40	155	10	distributional	distributional	ADJ
jbi-40	155	11	models	model	NOUN
jbi-40	155	12	.	.	PUNCT
jbi-40	156	1	biodiversity	biodiversity	NOUN
jbi-40	156	2	informatics	informatic	NOUN
jbi-40	156	3	3:59	3:59	NUM
jbi-40	156	4	-	-	SYM
jbi-40	156	5	72	72	NUM
jbi-40	156	6	.	.	PUNCT
jbi-40	157	1	pulliam	pulliam	PROPN
jbi-40	157	2	,	,	PUNCT
jbi-40	157	3	h.	h.	PROPN
jbi-40	157	4	r.	r.	PROPN
jbi-40	157	5	1988	1988	NUM
jbi-40	157	6	.	.	PUNCT
jbi-40	158	1	sources	source	NOUN
jbi-40	158	2	,	,	PUNCT
jbi-40	158	3	sinks	sink	NOUN
jbi-40	158	4	and	and	CCONJ
jbi-40	158	5	population	population	NOUN
jbi-40	158	6	regulation	regulation	NOUN
jbi-40	158	7	.	.	PUNCT
jbi-40	159	1	american	american	PROPN
jbi-40	159	2	naturalist	naturalist	PROPN
jbi-40	159	3	132:652	132:652	NUM
jbi-40	159	4	-	-	PUNCT
jbi-40	159	5	661	661	NUM
jbi-40	159	6	.	.	PUNCT
jbi-40	160	1	pulliam	pulliam	PROPN
jbi-40	160	2	,	,	PUNCT
jbi-40	160	3	h.	h.	PROPN
jbi-40	160	4	r.	r.	PROPN
jbi-40	160	5	2000	2000	NUM
jbi-40	160	6	.	.	PUNCT
jbi-40	161	1	on	on	ADP
jbi-40	161	2	the	the	DET
jbi-40	161	3	relationship	relationship	NOUN
jbi-40	161	4	between	between	ADP
jbi-40	161	5	niche	niche	NOUN
jbi-40	161	6	and	and	CCONJ
jbi-40	161	7	distribution	distribution	NOUN
jbi-40	161	8	.	.	PUNCT
jbi-40	162	1	ecology	ecology	NOUN
jbi-40	162	2	letters	letter	NOUN
jbi-40	162	3	3:349361	3:349361	NUM
jbi-40	162	4	.	.	PUNCT
jbi-40	163	1	reutter	reutter	PROPN
jbi-40	163	2	,	,	PUNCT
jbi-40	163	3	b.	b.	PROPN
jbi-40	163	4	a.	a.	PROPN
jbi-40	163	5	,	,	PUNCT
jbi-40	163	6	v.	v.	PROPN
jbi-40	163	7	helfer	helfer	PROPN
jbi-40	163	8	,	,	PUNCT
jbi-40	163	9	a.	a.	PROPN
jbi-40	163	10	h.	h.	PROPN
jbi-40	163	11	hirzel	hirzel	PROPN
jbi-40	163	12	,	,	PUNCT
jbi-40	163	13	and	and	CCONJ
jbi-40	163	14	p.	p.	PROPN
jbi-40	163	15	vogel	vogel	NOUN
jbi-40	163	16	.	.	PUNCT
jbi-40	163	17	2003	2003	NUM
jbi-40	163	18	.	.	PUNCT
jbi-40	164	1	modelling	model	VERB
jbi-40	164	2	habitat	habitat	NOUN
jbi-40	164	3	-	-	PUNCT
jbi-40	164	4	suitability	suitability	NOUN
jbi-40	164	5	using	use	VERB
jbi-40	164	6	museum	museum	NOUN
jbi-40	164	7	collections	collection	NOUN
jbi-40	164	8	:	:	PUNCT
jbi-40	164	9	an	an	DET
jbi-40	164	10	example	example	NOUN
jbi-40	164	11	with	with	ADP
jbi-40	164	12	three	three	NUM
jbi-40	164	13	sympatric	sympatric	ADJ
jbi-40	164	14	apodemus	apodemus	NOUN
jbi-40	164	15	species	specie	NOUN
jbi-40	164	16	from	from	ADP
jbi-40	164	17	the	the	DET
jbi-40	164	18	alps	alps	PROPN
jbi-40	164	19	.	.	PUNCT
jbi-40	165	1	journal	journal	PROPN
jbi-40	165	2	of	of	ADP
jbi-40	165	3	biogeography	biogeography	NOUN
jbi-40	165	4	30:581–590	30:581–590	NUM
jbi-40	165	5	.	.	PUNCT
jbi-40	166	1	lobo	lobo	NOUN
jbi-40	166	2	–	–	PUNCT
jbi-40	166	3	more	more	ADJ
jbi-40	166	4	complex	complex	ADJ
jbi-40	166	5	models	model	NOUN
jbi-40	166	6	or	or	CCONJ
jbi-40	166	7	representative	representative	ADJ
jbi-40	166	8	data	datum	NOUN
jbi-40	166	9	?	?	PUNCT
jbi-40	167	1	19	19	NUM
jbi-40	167	2	ricklefs	ricklef	NOUN
jbi-40	167	3	,	,	PUNCT
jbi-40	167	4	r.	r.	PROPN
jbi-40	167	5	e.	e.	PROPN
jbi-40	167	6	and	and	CCONJ
jbi-40	167	7	d.	d.	PROPN
jbi-40	167	8	schluter	schluter	PROPN
jbi-40	167	9	.	.	PUNCT
jbi-40	167	10	1993	1993	NUM
jbi-40	167	11	.	.	PUNCT
jbi-40	168	1	species	specie	NOUN
jbi-40	168	2	diversity	diversity	NOUN
jbi-40	168	3	in	in	ADP
jbi-40	168	4	ecological	ecological	ADJ
jbi-40	168	5	communities	community	NOUN
jbi-40	168	6	.	.	PUNCT
jbi-40	169	1	historical	historical	ADJ
jbi-40	169	2	and	and	CCONJ
jbi-40	169	3	geographical	geographical	ADJ
jbi-40	169	4	perspectives	perspective	NOUN
jbi-40	169	5	.	.	PUNCT
jbi-40	170	1	university	university	NOUN
jbi-40	170	2	chicago	chicago	PROPN
jbi-40	170	3	press	press	PROPN
jbi-40	170	4	,	,	PUNCT
jbi-40	170	5	chicago	chicago	PROPN
jbi-40	170	6	.	.	PUNCT
jbi-40	171	1	segurado	segurado	PROPN
jbi-40	171	2	,	,	PUNCT
jbi-40	171	3	p.	p.	NOUN
jbi-40	171	4	and	and	CCONJ
jbi-40	171	5	m.	m.	NOUN
jbi-40	171	6	b.araújo	b.araújo	NOUN
jbi-40	171	7	.	.	PUNCT
jbi-40	172	1	2004	2004	NUM
jbi-40	172	2	.	.	PUNCT
jbi-40	173	1	an	an	DET
jbi-40	173	2	evaluation	evaluation	NOUN
jbi-40	173	3	of	of	ADP
jbi-40	173	4	methods	method	NOUN
jbi-40	173	5	for	for	ADP
jbi-40	173	6	modelling	model	VERB
jbi-40	173	7	species	species	NOUN
jbi-40	173	8	distributions	distribution	NOUN
jbi-40	173	9	.	.	PUNCT
jbi-40	174	1	journal	journal	NOUN
jbi-40	174	2	of	of	ADP
jbi-40	174	3	biogeography	biogeography	NOUN
jbi-40	174	4	31:1555	31:1555	NUM
jbi-40	174	5	-	-	SYM
jbi-40	174	6	1568	1568	NUM
jbi-40	174	7	.	.	PUNCT
jbi-40	175	1	soberón	soberón	NOUN
jbi-40	175	2	,	,	PUNCT
jbi-40	175	3	j.	j.	PROPN
jbi-40	175	4	and	and	CCONJ
jbi-40	175	5	j.	j.	PROPN
jbi-40	175	6	llorente	llorente	PROPN
jbi-40	175	7	.	.	PUNCT
jbi-40	176	1	1993	1993	NUM
jbi-40	176	2	.	.	PUNCT
jbi-40	177	1	the	the	DET
jbi-40	177	2	use	use	NOUN
jbi-40	177	3	of	of	ADP
jbi-40	177	4	species	specie	NOUN
jbi-40	177	5	accumulation	accumulation	NOUN
jbi-40	177	6	functions	function	NOUN
jbi-40	177	7	for	for	ADP
jbi-40	177	8	the	the	DET
jbi-40	177	9	prediction	prediction	NOUN
jbi-40	177	10	of	of	ADP
jbi-40	177	11	species	specie	NOUN
jbi-40	177	12	richness	richness	NOUN
jbi-40	177	13	.	.	PUNCT
jbi-40	178	1	conservation	conservation	NOUN
jbi-40	178	2	biology	biology	NOUN
jbi-40	178	3	7:480	7:480	NOUN
jbi-40	178	4	-	-	SYM
jbi-40	178	5	488	488	NUM
jbi-40	178	6	.	.	PUNCT
jbi-40	179	1	soberón	soberón	NOUN
jbi-40	179	2	,	,	PUNCT
jbi-40	179	3	j.	j.	PROPN
jbi-40	179	4	and	and	CCONJ
jbi-40	179	5	a.	a.	PROPN
jbi-40	179	6	t.	t.	PROPN
jbi-40	179	7	peterson	peterson	PROPN
jbi-40	179	8	.	.	PROPN
jbi-40	179	9	2005	2005	NUM
jbi-40	179	10	.	.	PUNCT
jbi-40	180	1	interpretation	interpretation	NOUN
jbi-40	180	2	of	of	ADP
jbi-40	180	3	models	model	NOUN
jbi-40	180	4	of	of	ADP
jbi-40	180	5	fundamental	fundamental	ADJ
jbi-40	180	6	ecological	ecological	ADJ
jbi-40	180	7	niches	niche	NOUN
jbi-40	180	8	and	and	CCONJ
jbi-40	180	9	species	specie	NOUN
jbi-40	180	10	’	'	PUNCT
jbi-40	180	11	distributional	distributional	ADJ
jbi-40	180	12	areas	area	NOUN
jbi-40	180	13	.	.	PUNCT
jbi-40	181	1	biodiversity	biodiversity	NOUN
jbi-40	181	2	informatics	informatic	NOUN
jbi-40	181	3	2:1	2:1	NUM
jbi-40	181	4	-	-	SYM
jbi-40	181	5	10	10	NUM
jbi-40	181	6	.	.	PUNCT
jbi-40	182	1	zaniewski	zaniewski	PROPN
jbi-40	182	2	,	,	PUNCT
jbi-40	182	3	a.	a.	PROPN
jbi-40	182	4	e.	e.	PROPN
jbi-40	182	5	,	,	PUNCT
jbi-40	182	6	a.	a.	PROPN
jbi-40	182	7	lehmann	lehmann	PROPN
jbi-40	182	8	,	,	PUNCT
jbi-40	182	9	and	and	CCONJ
jbi-40	182	10	j.	j.	PROPN
jbi-40	182	11	m.	m.	PROPN
jbi-40	182	12	overton	overton	PROPN
jbi-40	182	13	.	.	PUNCT
jbi-40	182	14	2002	2002	NUM
jbi-40	182	15	.	.	PUNCT
jbi-40	183	1	predicting	predict	VERB
jbi-40	183	2	species	specie	NOUN
jbi-40	183	3	spatial	spatial	ADJ
jbi-40	183	4	distributions	distribution	NOUN
jbi-40	183	5	using	use	VERB
jbi-40	183	6	presence	presence	NOUN
jbi-40	183	7	-	-	PUNCT
jbi-40	183	8	only	only	ADV
jbi-40	183	9	data	datum	NOUN
jbi-40	183	10	:	:	PUNCT
jbi-40	183	11	a	a	DET
jbi-40	183	12	case	case	NOUN
jbi-40	183	13	study	study	NOUN
jbi-40	183	14	of	of	ADP
jbi-40	183	15	native	native	ADJ
jbi-40	183	16	new	new	PROPN
jbi-40	183	17	zealand	zealand	PROPN
jbi-40	183	18	ferns	fern	NOUN
jbi-40	183	19	.	.	PUNCT
jbi-40	184	1	ecological	ecological	ADJ
jbi-40	184	2	modelling	model	VERB
jbi-40	184	3	157:261	157:261	NOUN
jbi-40	184	4	-	-	SYM
jbi-40	184	5	280	280	NUM
jbi-40	184	6	.	.	PUNCT