id	sid	tid	token	lemma	pos
alces-101	1	1	alces	alce	NOUN
alces-101	1	2	vol	vol	NOUN
alces-101	1	3	.	.	PROPN
alces-101	2	1	48	48	NUM
alces-101	2	2	,	,	PUNCT
alces-101	2	3	2012	2012	NUM
alces-101	2	4	fieberg	fieberg	NOUN
alces-101	2	5	and	and	CCONJ
alces-101	2	6	lenarz	lenarz	ADJ
alces-101	2	7	–	–	PUNCT
alces-101	2	8	strata	strata	ADJ
alces-101	2	9	formation	formation	NOUN
alces-101	2	10	in	in	ADP
alces-101	2	11	aerial	aerial	ADJ
alces-101	2	12	moose	moose	NOUN
alces-101	2	13	surveys	survey	NOUN
alces-101	2	14	79	79	NUM
alces-101	2	15	comparing	compare	VERB
alces-101	2	16	stratification	stratification	NOUN
alces-101	2	17	schemes	scheme	NOUN
alces-101	2	18	for	for	ADP
alces-101	2	19	aerial	aerial	ADJ
alces-101	2	20	moose	moose	NOUN
alces-101	2	21	surveys	survey	NOUN
alces-101	2	22	john	john	PROPN
alces-101	2	23	r.	r.	PROPN
alces-101	2	24	fieberg1	fieberg1	PROPN
alces-101	2	25	and	and	CCONJ
alces-101	2	26	mark	mark	PROPN
alces-101	2	27	s.	s.	PROPN
alces-101	2	28	lenarz2	lenarz2	PROPN
alces-101	3	1	1minnesota	1minnesota	NUM
alces-101	3	2	department	department	NOUN
alces-101	3	3	of	of	ADP
alces-101	3	4	natural	natural	ADJ
alces-101	3	5	resources	resource	NOUN
alces-101	3	6	,	,	PUNCT
alces-101	3	7	biometrics	biometric	NOUN
alces-101	3	8	unit	unit	NOUN
alces-101	3	9	,	,	PUNCT
alces-101	3	10	5463	5463	NUM
alces-101	3	11	-	-	SYM
alces-101	3	12	c	c	PROPN
alces-101	3	13	west	west	PROPN
alces-101	3	14	broadway	broadway	PROPN
alces-101	3	15	,	,	PUNCT
alces-101	3	16	forest	forest	NOUN
alces-101	3	17	lake	lake	PROPN
alces-101	3	18	,	,	PUNCT
alces-101	3	19	minnesota	minnesota	PROPN
alces-101	3	20	55025	55025	NUM
alces-101	3	21	;	;	PUNCT
alces-101	3	22	2minnesota	2minnesota	NUM
alces-101	3	23	department	department	NOUN
alces-101	3	24	of	of	ADP
alces-101	3	25	natural	natural	ADJ
alces-101	3	26	resources	resource	NOUN
alces-101	3	27	,	,	PUNCT
alces-101	3	28	forest	forest	NOUN
alces-101	3	29	wildlife	wildlife	NOUN
alces-101	3	30	populations	population	NOUN
alces-101	3	31	and	and	CCONJ
alces-101	3	32	research	research	NOUN
alces-101	3	33	group	group	NOUN
alces-101	3	34	,	,	PUNCT
alces-101	3	35	1201	1201	NUM
alces-101	3	36	east	east	PROPN
alces-101	3	37	highway	highway	NOUN
alces-101	3	38	2	2	NUM
alces-101	3	39	,	,	PUNCT
alces-101	3	40	grand	grand	ADJ
alces-101	3	41	rapids	rapid	NOUN
alces-101	3	42	,	,	PUNCT
alces-101	3	43	minnesota	minnesota	PROPN
alces-101	3	44	55744	55744	NUM
alces-101	3	45	,	,	PUNCT
alces-101	3	46	usa	usa	PROPN
alces-101	3	47	.	.	PROPN
alces-101	3	48	abstract	abstract	PROPN
alces-101	3	49	:	:	PUNCT
alces-101	3	50	stratification	stratification	NOUN
alces-101	3	51	is	be	AUX
alces-101	3	52	generally	generally	ADV
alces-101	3	53	used	use	VERB
alces-101	3	54	to	to	PART
alces-101	3	55	improve	improve	VERB
alces-101	3	56	the	the	DET
alces-101	3	57	precision	precision	NOUN
alces-101	3	58	of	of	ADP
alces-101	3	59	aerial	aerial	ADJ
alces-101	3	60	surveys	survey	NOUN
alces-101	3	61	.	.	PUNCT
alces-101	4	1	in	in	ADP
alces-101	4	2	minnesota	minnesota	PROPN
alces-101	4	3	,	,	PUNCT
alces-101	4	4	moose	moose	X
alces-101	4	5	(	(	PUNCT
alces-101	4	6	alces	alce	NOUN
alces-101	4	7	alces	alce	NOUN
alces-101	4	8	)	)	PUNCT
alces-101	4	9	survey	survey	NOUN
alces-101	4	10	strata	strata	NOUN
alces-101	4	11	have	have	AUX
alces-101	4	12	been	be	AUX
alces-101	4	13	constructed	construct	VERB
alces-101	4	14	using	use	VERB
alces-101	4	15	expert	expert	ADJ
alces-101	4	16	opinion	opinion	NOUN
alces-101	4	17	informed	inform	VERB
alces-101	4	18	by	by	ADP
alces-101	4	19	moose	moose	NOUN
alces-101	4	20	density	density	NOUN
alces-101	4	21	from	from	ADP
alces-101	4	22	previous	previous	ADJ
alces-101	4	23	surveys	survey	NOUN
alces-101	4	24	(	(	PUNCT
alces-101	4	25	if	if	SCONJ
alces-101	4	26	available	available	ADJ
alces-101	4	27	)	)	PUNCT
alces-101	4	28	,	,	PUNCT
alces-101	4	29	recent	recent	ADJ
alces-101	4	30	disturbance	disturbance	NOUN
alces-101	4	31	,	,	PUNCT
alces-101	4	32	and	and	CCONJ
alces-101	4	33	cover	cover	NOUN
alces-101	4	34	-	-	PUNCT
alces-101	4	35	type	type	NOUN
alces-101	4	36	information	information	NOUN
alces-101	4	37	.	.	PUNCT
alces-101	5	1	stratum	stratum	ADJ
alces-101	5	2	-	-	PUNCT
alces-101	5	3	specific	specific	ADJ
alces-101	5	4	distributions	distribution	NOUN
alces-101	5	5	of	of	ADP
alces-101	5	6	observed	observed	ADJ
alces-101	5	7	moose	moose	NOUN
alces-101	5	8	from	from	ADP
alces-101	5	9	plots	plot	NOUN
alces-101	5	10	surveyed	survey	VERB
alces-101	5	11	during	during	ADP
alces-101	5	12	2005	2005	NUM
alces-101	5	13	-	-	SYM
alces-101	5	14	2010	2010	NUM
alces-101	5	15	overlapped	overlapped	ADJ
alces-101	5	16	,	,	PUNCT
alces-101	5	17	suggesting	suggest	VERB
alces-101	5	18	some	some	DET
alces-101	5	19	improvement	improvement	NOUN
alces-101	5	20	in	in	ADP
alces-101	5	21	precision	precision	NOUN
alces-101	5	22	might	might	AUX
alces-101	5	23	be	be	AUX
alces-101	5	24	accomplished	accomplish	VERB
alces-101	5	25	by	by	ADP
alces-101	5	26	using	use	VERB
alces-101	5	27	a	a	DET
alces-101	5	28	different	different	ADJ
alces-101	5	29	stratification	stratification	NOUN
alces-101	5	30	scheme	scheme	NOUN
alces-101	5	31	.	.	PUNCT
alces-101	6	1	therefore	therefore	ADV
alces-101	6	2	,	,	PUNCT
alces-101	6	3	we	we	PRON
alces-101	6	4	explored	explore	VERB
alces-101	6	5	the	the	DET
alces-101	6	6	feasibility	feasibility	NOUN
alces-101	6	7	of	of	ADP
alces-101	6	8	using	use	VERB
alces-101	6	9	remote	remote	NOUN
alces-101	6	10	-	-	PUNCT
alces-101	6	11	sensing	sense	VERB
alces-101	6	12	data	datum	NOUN
alces-101	6	13	to	to	PART
alces-101	6	14	define	define	VERB
alces-101	6	15	strata	strata	NOUN
alces-101	6	16	.	.	PUNCT
alces-101	7	1	stratum	stratum	PROPN
alces-101	7	2	boundaries	boundary	NOUN
alces-101	7	3	were	be	AUX
alces-101	7	4	formed	form	VERB
alces-101	7	5	using	use	VERB
alces-101	7	6	a	a	DET
alces-101	7	7	2	2	NUM
alces-101	7	8	-	-	PUNCT
alces-101	7	9	step	step	NOUN
alces-101	7	10	process	process	NOUN
alces-101	7	11	:	:	PUNCT
alces-101	7	12	1	1	X
alces-101	7	13	)	)	PUNCT
alces-101	7	14	we	we	PRON
alces-101	7	15	fit	fit	VERB
alces-101	7	16	parametric	parametric	ADJ
alces-101	7	17	and	and	CCONJ
alces-101	7	18	non	non	ADJ
alces-101	7	19	-	-	ADJ
alces-101	7	20	parametric	parametric	ADJ
alces-101	7	21	regression	regression	NOUN
alces-101	7	22	models	model	NOUN
alces-101	7	23	using	use	VERB
alces-101	7	24	landcover	landcover	NOUN
alces-101	7	25	data	datum	NOUN
alces-101	7	26	as	as	ADP
alces-101	7	27	predictors	predictor	NOUN
alces-101	7	28	of	of	ADP
alces-101	7	29	observed	observed	ADJ
alces-101	7	30	moose	moose	NOUN
alces-101	7	31	numbers	number	NOUN
alces-101	7	32	;	;	PUNCT
alces-101	7	33	2	2	X
alces-101	7	34	)	)	PUNCT
alces-101	7	35	we	we	PRON
alces-101	7	36	formed	form	VERB
alces-101	7	37	strata	strata	NOUN
alces-101	7	38	by	by	ADP
alces-101	7	39	applying	apply	VERB
alces-101	7	40	classical	classical	ADJ
alces-101	7	41	rules	rule	NOUN
alces-101	7	42	for	for	ADP
alces-101	7	43	determining	determine	VERB
alces-101	7	44	stratum	stratum	NOUN
alces-101	7	45	boundaries	boundary	NOUN
alces-101	7	46	to	to	ADP
alces-101	7	47	the	the	DET
alces-101	7	48	model	model	NOUN
alces-101	7	49	-	-	PUNCT
alces-101	7	50	based	base	VERB
alces-101	7	51	predictions	prediction	NOUN
alces-101	7	52	.	.	PUNCT
alces-101	8	1	although	although	SCONJ
alces-101	8	2	land	land	NOUN
alces-101	8	3	-	-	PUNCT
alces-101	8	4	cover	cover	NOUN
alces-101	8	5	data	datum	NOUN
alces-101	8	6	and	and	CCONJ
alces-101	8	7	moose	moose	NOUN
alces-101	8	8	numbers	number	NOUN
alces-101	8	9	were	be	AUX
alces-101	8	10	correlated	correlate	VERB
alces-101	8	11	,	,	PUNCT
alces-101	8	12	we	we	PRON
alces-101	8	13	were	be	AUX
alces-101	8	14	unable	unable	ADJ
alces-101	8	15	to	to	PART
alces-101	8	16	improve	improve	VERB
alces-101	8	17	upon	upon	SCONJ
alces-101	8	18	the	the	DET
alces-101	8	19	current	current	ADJ
alces-101	8	20	stratification	stratification	NOUN
alces-101	8	21	scheme	scheme	NOUN
alces-101	8	22	based	base	VERB
alces-101	8	23	on	on	ADP
alces-101	8	24	expert	expert	ADJ
alces-101	8	25	opinion	opinion	NOUN
alces-101	8	26	.	.	PUNCT
alces-101	9	1	alces	alce	NOUN
alces-101	9	2	vol	vol	NOUN
alces-101	9	3	.	.	PUNCT
alces-101	10	1	48	48	NUM
alces-101	10	2	:	:	SYM
alces-101	10	3	79	79	NUM
alces-101	10	4	-	-	SYM
alces-101	10	5	87	87	NUM
alces-101	10	6	(	(	PUNCT
alces-101	10	7	2012	2012	NUM
alces-101	10	8	)	)	PUNCT
alces-101	10	9	key	key	ADJ
alces-101	10	10	words	word	NOUN
alces-101	10	11	:	:	PUNCT
alces-101	10	12	alces	alce	NOUN
alces-101	10	13	alces	alce	NOUN
alces-101	10	14	,	,	PUNCT
alces-101	10	15	aerial	aerial	ADJ
alces-101	10	16	surveys	survey	NOUN
alces-101	10	17	,	,	PUNCT
alces-101	10	18	boosted	boost	VERB
alces-101	10	19	regression	regression	NOUN
alces-101	10	20	trees	tree	NOUN
alces-101	10	21	,	,	PUNCT
alces-101	10	22	cum√f	cum√f	PROPN
alces-101	10	23	rule	rule	VERB
alces-101	10	24	,	,	PUNCT
alces-101	10	25	land	land	NOUN
alces-101	10	26	cover	cover	NOUN
alces-101	10	27	types	type	NOUN
alces-101	10	28	,	,	PUNCT
alces-101	10	29	poisson	poisson	NOUN
alces-101	10	30	regression	regression	NOUN
alces-101	10	31	,	,	PUNCT
alces-101	10	32	stratification	stratification	NOUN
alces-101	10	33	.	.	PUNCT
alces-101	11	1	aerial	aerial	ADJ
alces-101	11	2	surveys	survey	NOUN
alces-101	11	3	are	be	AUX
alces-101	11	4	used	use	VERB
alces-101	11	5	to	to	PART
alces-101	11	6	estimate	estimate	VERB
alces-101	11	7	moose	moose	NOUN
alces-101	11	8	(	(	PUNCT
alces-101	11	9	alces	alce	NOUN
alces-101	11	10	alces	alce	NOUN
alces-101	11	11	)	)	PUNCT
alces-101	11	12	numbers	number	NOUN
alces-101	11	13	and	and	CCONJ
alces-101	11	14	population	population	NOUN
alces-101	11	15	parameters	parameter	NOUN
alces-101	11	16	throughout	throughout	ADP
alces-101	11	17	much	much	ADJ
alces-101	11	18	of	of	ADP
alces-101	11	19	north	north	PROPN
alces-101	11	20	america	america	PROPN
alces-101	11	21	,	,	PUNCT
alces-101	11	22	and	and	CCONJ
alces-101	11	23	in	in	ADP
alces-101	11	24	northeastern	northeastern	ADJ
alces-101	11	25	minnesota	minnesota	PROPN
alces-101	11	26	they	they	PRON
alces-101	11	27	have	have	AUX
alces-101	11	28	been	be	AUX
alces-101	11	29	conducted	conduct	VERB
alces-101	11	30	annually	annually	ADV
alces-101	11	31	since	since	SCONJ
alces-101	11	32	1959	1959	NUM
alces-101	11	33	(	(	PUNCT
alces-101	11	34	karns	karn	NOUN
alces-101	11	35	1982	1982	NUM
alces-101	11	36	)	)	PUNCT
alces-101	11	37	.	.	PUNCT
alces-101	12	1	the	the	DET
alces-101	12	2	minnesota	minnesota	PROPN
alces-101	12	3	survey	survey	NOUN
alces-101	12	4	is	be	AUX
alces-101	12	5	based	base	VERB
alces-101	12	6	on	on	ADP
alces-101	12	7	a	a	DET
alces-101	12	8	stratified	stratified	ADJ
alces-101	12	9	random	random	ADJ
alces-101	12	10	plot	plot	NOUN
alces-101	12	11	design	design	NOUN
alces-101	12	12	,	,	PUNCT
alces-101	12	13	in	in	ADP
alces-101	12	14	which	which	PRON
alces-101	12	15	aerial	aerial	ADJ
alces-101	12	16	units	unit	NOUN
alces-101	12	17	having	have	VERB
alces-101	12	18	similar	similar	ADJ
alces-101	12	19	expected	expect	VERB
alces-101	12	20	moose	moose	NOUN
alces-101	12	21	density	density	NOUN
alces-101	12	22	are	be	AUX
alces-101	12	23	grouped	group	VERB
alces-101	12	24	into	into	ADP
alces-101	12	25	strata	strata	NOUN
alces-101	12	26	to	to	PART
alces-101	12	27	minimize	minimize	VERB
alces-101	12	28	the	the	DET
alces-101	12	29	sampling	sample	VERB
alces-101	12	30	variance	variance	NOUN
alces-101	12	31	of	of	ADP
alces-101	12	32	the	the	DET
alces-101	12	33	population	population	NOUN
alces-101	12	34	estimate	estimate	NOUN
alces-101	12	35	.	.	PUNCT
alces-101	13	1	variance	variance	NOUN
alces-101	13	2	among	among	ADP
alces-101	13	3	stratum	stratum	NOUN
alces-101	13	4	-	-	PUNCT
alces-101	13	5	specific	specific	ADJ
alces-101	13	6	abundance	abundance	NOUN
alces-101	13	7	estimates	estimate	NOUN
alces-101	13	8	does	do	AUX
alces-101	13	9	not	not	PART
alces-101	13	10	contribute	contribute	VERB
alces-101	13	11	to	to	ADP
alces-101	13	12	the	the	DET
alces-101	13	13	sampling	sample	VERB
alces-101	13	14	variance	variance	NOUN
alces-101	13	15	of	of	ADP
alces-101	13	16	the	the	DET
alces-101	13	17	total	total	ADJ
alces-101	13	18	population	population	NOUN
alces-101	13	19	estimate	estimate	NOUN
alces-101	13	20	,	,	PUNCT
alces-101	13	21	and	and	CCONJ
alces-101	13	22	thus	thus	ADV
alces-101	13	23	,	,	PUNCT
alces-101	13	24	even	even	ADV
alces-101	13	25	poor	poor	ADJ
alces-101	13	26	stratification	stratification	NOUN
alces-101	13	27	will	will	AUX
alces-101	13	28	usually	usually	ADV
alces-101	13	29	improve	improve	VERB
alces-101	13	30	precision	precision	NOUN
alces-101	13	31	compared	compare	VERB
alces-101	13	32	to	to	ADP
alces-101	13	33	simple	simple	ADJ
alces-101	13	34	random	random	ADJ
alces-101	13	35	sampling	sampling	NOUN
alces-101	13	36	(	(	PUNCT
alces-101	13	37	cochran	cochran	NOUN
alces-101	13	38	1977	1977	NUM
alces-101	13	39	,	,	PUNCT
alces-101	13	40	gasaway	gasaway	NOUN
alces-101	13	41	et	et	PROPN
alces-101	13	42	al	al	PROPN
alces-101	13	43	.	.	PROPN
alces-101	13	44	1986	1986	NUM
alces-101	13	45	)	)	PUNCT
alces-101	13	46	.	.	PUNCT
alces-101	14	1	gasaway	gasaway	VERB
alces-101	14	2	et	et	PROPN
alces-101	14	3	al	al	PROPN
alces-101	14	4	.	.	PROPN
alces-101	15	1	(	(	PUNCT
alces-101	15	2	1986	1986	NUM
alces-101	15	3	)	)	PUNCT
alces-101	15	4	suggested	suggest	VERB
alces-101	15	5	using	use	VERB
alces-101	15	6	counts	count	NOUN
alces-101	15	7	from	from	ADP
alces-101	15	8	pre	pre	ADJ
alces-101	15	9	-	-	ADJ
alces-101	15	10	survey	survey	ADJ
alces-101	15	11	flights	flight	NOUN
alces-101	15	12	to	to	PART
alces-101	15	13	form	form	VERB
alces-101	15	14	strata	strata	NOUN
alces-101	15	15	,	,	PUNCT
alces-101	15	16	but	but	CCONJ
alces-101	15	17	logistical	logistical	ADJ
alces-101	15	18	and	and	CCONJ
alces-101	15	19	financial	financial	ADJ
alces-101	15	20	considerations	consideration	NOUN
alces-101	15	21	have	have	AUX
alces-101	15	22	made	make	VERB
alces-101	15	23	pre	pre	ADJ
alces-101	15	24	-	-	ADJ
alces-101	15	25	survey	survey	ADJ
alces-101	15	26	flights	flight	NOUN
alces-101	15	27	infeasible	infeasible	ADJ
alces-101	15	28	in	in	ADP
alces-101	15	29	minnesota	minnesota	PROPN
alces-101	15	30	.	.	PUNCT
alces-101	16	1	instead	instead	ADV
alces-101	16	2	,	,	PUNCT
alces-101	16	3	moose	moose	PROPN
alces-101	16	4	survey	survey	NOUN
alces-101	16	5	strata	strata	NOUN
alces-101	16	6	have	have	AUX
alces-101	16	7	been	be	AUX
alces-101	16	8	constructed	construct	VERB
alces-101	16	9	using	use	VERB
alces-101	16	10	expert	expert	ADJ
alces-101	16	11	opinion	opinion	NOUN
alces-101	16	12	informed	inform	VERB
alces-101	16	13	by	by	ADP
alces-101	16	14	moose	moose	NOUN
alces-101	16	15	density	density	NOUN
alces-101	16	16	from	from	ADP
alces-101	16	17	previous	previous	ADJ
alces-101	16	18	surveys	survey	NOUN
alces-101	16	19	(	(	PUNCT
alces-101	16	20	when	when	SCONJ
alces-101	16	21	available	available	ADJ
alces-101	16	22	)	)	PUNCT
alces-101	16	23	,	,	PUNCT
alces-101	16	24	recent	recent	ADJ
alces-101	16	25	disturbance	disturbance	NOUN
alces-101	16	26	(	(	PUNCT
alces-101	16	27	e.g.	e.g.	ADV
alces-101	16	28	,	,	PUNCT
alces-101	16	29	logging	logging	NOUN
alces-101	16	30	,	,	PUNCT
alces-101	16	31	insect	insect	NOUN
alces-101	16	32	damage	damage	NOUN
alces-101	16	33	,	,	PUNCT
alces-101	16	34	blowdown	blowdown	NOUN
alces-101	16	35	,	,	PUNCT
alces-101	16	36	fire	fire	NOUN
alces-101	16	37	)	)	PUNCT
alces-101	16	38	,	,	PUNCT
alces-101	16	39	and	and	CCONJ
alces-101	16	40	cover	cover	NOUN
alces-101	16	41	-	-	PUNCT
alces-101	16	42	type	type	NOUN
alces-101	16	43	information	information	NOUN
alces-101	16	44	;	;	PUNCT
alces-101	16	45	plots	plot	NOUN
alces-101	16	46	are	be	AUX
alces-101	16	47	periodically	periodically	ADV
alces-101	16	48	re	re	VERB
alces-101	16	49	-	-	VERB
alces-101	16	50	stratified	stratified	ADJ
alces-101	16	51	to	to	PART
alces-101	16	52	incorporate	incorporate	VERB
alces-101	16	53	real	real	ADJ
alces-101	16	54	or	or	CCONJ
alces-101	16	55	perceived	perceive	VERB
alces-101	16	56	changes	change	NOUN
alces-101	16	57	in	in	ADP
alces-101	16	58	these	these	DET
alces-101	16	59	factors	factor	NOUN
alces-101	16	60	.	.	PUNCT
alces-101	17	1	despite	despite	SCONJ
alces-101	17	2	best	good	ADJ
alces-101	17	3	efforts	effort	NOUN
alces-101	17	4	,	,	PUNCT
alces-101	17	5	we	we	PRON
alces-101	17	6	have	have	AUX
alces-101	17	7	occasionally	occasionally	ADV
alces-101	17	8	observed	observe	VERB
alces-101	17	9	few	few	ADJ
alces-101	17	10	moose	moose	NOUN
alces-101	17	11	in	in	ADP
alces-101	17	12	high	high	ADJ
alces-101	17	13	density	density	NOUN
alces-101	17	14	stratum	stratum	NOUN
alces-101	17	15	plots	plot	VERB
alces-101	17	16	or	or	CCONJ
alces-101	17	17	many	many	ADJ
alces-101	17	18	moose	moose	NOUN
alces-101	17	19	in	in	ADP
alces-101	17	20	low	low	ADJ
alces-101	17	21	or	or	CCONJ
alces-101	17	22	medium	medium	ADJ
alces-101	17	23	density	density	NOUN
alces-101	17	24	stratum	stratum	NOUN
alces-101	17	25	plots	plot	VERB
alces-101	17	26	.	.	PUNCT
alces-101	18	1	it	it	PRON
alces-101	18	2	has	have	AUX
alces-101	18	3	generally	generally	ADV
alces-101	18	4	been	be	AUX
alces-101	18	5	assumed	assume	VERB
alces-101	18	6	that	that	SCONJ
alces-101	18	7	more	more	ADV
alces-101	18	8	formal	formal	ADJ
alces-101	18	9	numerical	numerical	ADJ
alces-101	18	10	methods	method	NOUN
alces-101	18	11	could	could	AUX
alces-101	18	12	be	be	AUX
alces-101	18	13	employed	employ	VERB
alces-101	18	14	that	that	PRON
alces-101	18	15	would	would	AUX
alces-101	18	16	integrate	integrate	VERB
alces-101	18	17	cover	cover	NOUN
alces-101	18	18	-	-	PUNCT
alces-101	18	19	type	type	NOUN
alces-101	18	20	data	datum	NOUN
alces-101	18	21	to	to	PART
alces-101	18	22	better	well	ADV
alces-101	18	23	stratify	stratify	VERB
alces-101	18	24	the	the	DET
alces-101	18	25	survey	survey	NOUN
alces-101	18	26	plots	plot	NOUN
alces-101	18	27	(	(	PUNCT
alces-101	18	28	see	see	VERB
alces-101	18	29	moen	moen	PROPN
alces-101	18	30	et	et	PROPN
alces-101	18	31	al	al	PROPN
alces-101	18	32	.	.	PROPN
alces-101	18	33	2011	2011	NUM
alces-101	18	34	)	)	PUNCT
alces-101	18	35	.	.	PUNCT
alces-101	19	1	presumably	presumably	ADV
alces-101	19	2	,	,	PUNCT
alces-101	19	3	better	well	ADJ
alces-101	19	4	stratification	stratification	NOUN
alces-101	19	5	would	would	AUX
alces-101	19	6	increase	increase	VERB
alces-101	19	7	the	the	DET
alces-101	19	8	precision	precision	NOUN
alces-101	19	9	of	of	ADP
alces-101	19	10	population	population	NOUN
alces-101	19	11	estimates	estimate	NOUN
alces-101	19	12	and	and	CCONJ
alces-101	19	13	increase	increase	VERB
alces-101	19	14	the	the	DET
alces-101	19	15	power	power	NOUN
alces-101	19	16	to	to	PART
alces-101	19	17	detect	detect	VERB
alces-101	19	18	population	population	NOUN
alces-101	19	19	trends	trend	NOUN
alces-101	19	20	(	(	PUNCT
alces-101	19	21	lenarz	lenarz	PROPN
alces-101	19	22	et	et	PROPN
alces-101	19	23	al	al	PROPN
alces-101	19	24	.	.	PROPN
alces-101	19	25	2010	2010	NUM
alces-101	19	26	,	,	PUNCT
alces-101	19	27	lenarz	lenarz	PROPN
alces-101	19	28	2011	2011	NUM
alces-101	19	29	)	)	PUNCT
alces-101	19	30	.	.	PUNCT
alces-101	20	1	moose	moose	PROPN
alces-101	20	2	abundance	abundance	PROPN
alces-101	20	3	in	in	ADP
alces-101	20	4	minnesota	minnesota	PROPN
alces-101	20	5	is	be	AUX
alces-101	20	6	currently	currently	ADV
alces-101	20	7	estimated	estimate	VERB
alces-101	20	8	using	use	VERB
alces-101	20	9	a	a	DET
alces-101	20	10	sightability	sightability	NOUN
alces-101	20	11	model	model	NOUN
alces-101	20	12	estimator	estimator	NOUN
alces-101	20	13	,	,	PUNCT
alces-101	20	14	which	which	PRON
alces-101	20	15	inflates	inflate	VERB
alces-101	20	16	raw	raw	ADJ
alces-101	20	17	counts	count	NOUN
alces-101	20	18	by	by	ADP
alces-101	20	19	strata	strata	ADJ
alces-101	20	20	formation	formation	NOUN
alces-101	20	21	in	in	ADP
alces-101	20	22	aerial	aerial	ADJ
alces-101	20	23	moose	moose	NOUN
alces-101	20	24	surveys	survey	NOUN
alces-101	20	25	–	–	PUNCT
alces-101	20	26	fieberg	fieberg	NOUN
alces-101	20	27	and	and	CCONJ
alces-101	20	28	lenarz	lenarz	ADJ
alces-101	20	29	alces	alce	NOUN
alces-101	20	30	vol	vol	NOUN
alces-101	20	31	.	.	PROPN
alces-101	21	1	48	48	NUM
alces-101	21	2	,	,	PUNCT
alces-101	21	3	2012	2012	NUM
alces-101	21	4	80	80	NUM
alces-101	21	5	plot	plot	NOUN
alces-101	21	6	-	-	PUNCT
alces-101	21	7	level	level	NOUN
alces-101	21	8	sampling	sampling	NOUN
alces-101	21	9	probabilities	probability	NOUN
alces-101	21	10	as	as	ADV
alces-101	21	11	well	well	ADV
alces-101	21	12	as	as	ADP
alces-101	21	13	estimates	estimate	NOUN
alces-101	21	14	of	of	ADP
alces-101	21	15	the	the	DET
alces-101	21	16	probability	probability	NOUN
alces-101	21	17	of	of	ADP
alces-101	21	18	detecting	detect	VERB
alces-101	21	19	each	each	DET
alces-101	21	20	observed	observe	VERB
alces-101	21	21	moose	moose	NOUN
alces-101	21	22	group	group	NOUN
alces-101	21	23	(	(	PUNCT
alces-101	21	24	steinhorst	steinhorst	NOUN
alces-101	21	25	and	and	CCONJ
alces-101	21	26	samuel	samuel	PROPN
alces-101	21	27	1989	1989	NUM
alces-101	21	28	,	,	PUNCT
alces-101	21	29	giudice	giudice	PROPN
alces-101	21	30	et	et	PROPN
alces-101	21	31	al	al	PROPN
alces-101	21	32	.	.	PROPN
alces-101	21	33	2012	2012	NUM
alces-101	21	34	)	)	PUNCT
alces-101	21	35	.	.	PUNCT
alces-101	22	1	three	three	NUM
alces-101	22	2	random	random	ADJ
alces-101	22	3	processes	process	NOUN
alces-101	22	4	create	create	VERB
alces-101	22	5	uncertainty	uncertainty	NOUN
alces-101	22	6	in	in	ADP
alces-101	22	7	the	the	DET
alces-101	22	8	estimated	estimate	VERB
alces-101	22	9	abundance	abundance	NOUN
alces-101	22	10	:	:	PUNCT
alces-101	22	11	1	1	X
alces-101	22	12	)	)	PUNCT
alces-101	22	13	the	the	DET
alces-101	22	14	random	random	ADJ
alces-101	22	15	sampling	sampling	NOUN
alces-101	22	16	of	of	ADP
alces-101	22	17	survey	survey	NOUN
alces-101	22	18	plots	plot	NOUN
alces-101	22	19	;	;	PUNCT
alces-101	22	20	2	2	X
alces-101	22	21	)	)	PUNCT
alces-101	22	22	random	random	ADJ
alces-101	22	23	detection	detection	NOUN
alces-101	22	24	(	(	PUNCT
alces-101	22	25	and	and	CCONJ
alces-101	22	26	failed	failed	ADJ
alces-101	22	27	detection	detection	NOUN
alces-101	22	28	)	)	PUNCT
alces-101	22	29	of	of	ADP
alces-101	22	30	independent	independent	ADJ
alces-101	22	31	groups	group	NOUN
alces-101	22	32	within	within	ADP
alces-101	22	33	surveyed	survey	VERB
alces-101	22	34	plots	plot	NOUN
alces-101	22	35	;	;	PUNCT
alces-101	22	36	3	3	X
alces-101	22	37	)	)	PUNCT
alces-101	22	38	uncertainty	uncertainty	NOUN
alces-101	22	39	associated	associate	VERB
alces-101	22	40	with	with	ADP
alces-101	22	41	parameters	parameter	NOUN
alces-101	22	42	used	use	VERB
alces-101	22	43	to	to	PART
alces-101	22	44	model	model	VERB
alces-101	22	45	detection	detection	NOUN
alces-101	22	46	probabilities	probability	NOUN
alces-101	22	47	.	.	PUNCT
alces-101	23	1	the	the	DET
alces-101	23	2	coefficient	coefficient	NOUN
alces-101	23	3	of	of	ADP
alces-101	23	4	variation	variation	NOUN
alces-101	23	5	from	from	ADP
alces-101	23	6	past	past	ADJ
alces-101	23	7	survey	survey	NOUN
alces-101	23	8	estimates	estimate	NOUN
alces-101	23	9	(	(	PUNCT
alces-101	23	10	years	year	NOUN
alces-101	23	11	2004	2004	NUM
alces-101	23	12	-	-	SYM
alces-101	23	13	2010	2010	NUM
alces-101	23	14	)	)	PUNCT
alces-101	23	15	has	have	AUX
alces-101	23	16	ranged	range	VERB
alces-101	23	17	from	from	ADP
alces-101	23	18	14	14	NUM
alces-101	23	19	-	-	SYM
alces-101	23	20	23	23	NUM
alces-101	23	21	%	%	NOUN
alces-101	23	22	(	(	PUNCT
alces-101	23	23	mean	mean	NOUN
alces-101	23	24	=	=	SYM
alces-101	23	25	17	17	NUM
alces-101	23	26	%	%	NOUN
alces-101	23	27	)	)	PUNCT
alces-101	23	28	.	.	PUNCT
alces-101	24	1	on	on	ADP
alces-101	24	2	average	average	ADJ
alces-101	24	3	,	,	PUNCT
alces-101	24	4	45	45	NUM
alces-101	24	5	,	,	PUNCT
alces-101	24	6	16	16	NUM
alces-101	24	7	,	,	PUNCT
alces-101	24	8	and	and	CCONJ
alces-101	24	9	39	39	NUM
alces-101	24	10	%	%	NOUN
alces-101	24	11	of	of	ADP
alces-101	24	12	the	the	DET
alces-101	24	13	variance	variance	NOUN
alces-101	24	14	has	have	AUX
alces-101	24	15	been	be	AUX
alces-101	24	16	attributed	attribute	VERB
alces-101	24	17	to	to	ADP
alces-101	24	18	sampling	sampling	NOUN
alces-101	24	19	,	,	PUNCT
alces-101	24	20	detection	detection	NOUN
alces-101	24	21	,	,	PUNCT
alces-101	24	22	and	and	CCONJ
alces-101	24	23	model	model	NOUN
alces-101	24	24	estimation	estimation	NOUN
alces-101	24	25	processes	process	NOUN
alces-101	24	26	,	,	PUNCT
alces-101	24	27	respectively	respectively	ADV
alces-101	24	28	.	.	PUNCT
alces-101	25	1	our	our	PRON
alces-101	25	2	primary	primary	ADJ
alces-101	25	3	objective	objective	NOUN
alces-101	25	4	is	be	AUX
alces-101	25	5	to	to	PART
alces-101	25	6	report	report	VERB
alces-101	25	7	on	on	ADP
alces-101	25	8	our	our	PRON
alces-101	25	9	efforts	effort	NOUN
alces-101	25	10	to	to	PART
alces-101	25	11	develop	develop	VERB
alces-101	25	12	alternative	alternative	ADJ
alces-101	25	13	stratification	stratification	NOUN
alces-101	25	14	schemes	scheme	NOUN
alces-101	25	15	using	use	VERB
alces-101	25	16	cover	cover	NOUN
alces-101	25	17	-	-	PUNCT
alces-101	25	18	type	type	NOUN
alces-101	25	19	composition	composition	NOUN
alces-101	25	20	data	datum	NOUN
alces-101	25	21	which	which	PRON
alces-101	25	22	has	have	VERB
alces-101	25	23	the	the	DET
alces-101	25	24	potential	potential	NOUN
alces-101	25	25	to	to	PART
alces-101	25	26	reduce	reduce	VERB
alces-101	25	27	the	the	DET
alces-101	25	28	sampling	sample	VERB
alces-101	25	29	variance	variance	NOUN
alces-101	25	30	component	component	NOUN
alces-101	25	31	.	.	PUNCT
alces-101	26	1	methods	method	NOUN
alces-101	26	2	study	study	PROPN
alces-101	26	3	area	area	NOUN
alces-101	26	4	the	the	DET
alces-101	26	5	aerial	aerial	ADJ
alces-101	26	6	sampling	sampling	NOUN
alces-101	26	7	frame	frame	NOUN
alces-101	26	8	used	use	VERB
alces-101	26	9	for	for	ADP
alces-101	26	10	the	the	DET
alces-101	26	11	survey	survey	NOUN
alces-101	26	12	encompasses	encompass	VERB
alces-101	26	13	15,056	15,056	NUM
alces-101	26	14	km2	km2	NOUN
alces-101	26	15	of	of	ADP
alces-101	26	16	northeastern	northeastern	ADJ
alces-101	26	17	minnesota	minnesota	PROPN
alces-101	26	18	(	(	PUNCT
alces-101	26	19	47	47	NUM
alces-101	26	20	°	°	NUM
alces-101	26	21	40’n	40’n	PROPN
alces-101	26	22	,	,	PUNCT
alces-101	26	23	91º25’w	91º25’w	NUM
alces-101	26	24	;	;	PUNCT
alces-101	26	25	fig	fig	NOUN
alces-101	26	26	.	.	NOUN
alces-101	27	1	1	1	NUM
alces-101	27	2	)	)	PUNCT
alces-101	27	3	.	.	PUNCT
alces-101	28	1	the	the	DET
alces-101	28	2	forests	forest	NOUN
alces-101	28	3	were	be	AUX
alces-101	28	4	transitional	transitional	ADJ
alces-101	28	5	between	between	ADP
alces-101	28	6	canadian	canadian	ADJ
alces-101	28	7	boreal	boreal	NOUN
alces-101	28	8	forests	forest	NOUN
alces-101	28	9	and	and	CCONJ
alces-101	28	10	northern	northern	ADJ
alces-101	28	11	hardwood	hardwood	NOUN
alces-101	28	12	forests	forest	NOUN
alces-101	28	13	further	far	ADV
alces-101	28	14	south	south	ADV
alces-101	28	15	and	and	CCONJ
alces-101	28	16	includes	include	VERB
alces-101	28	17	all	all	PRON
alces-101	28	18	of	of	ADP
alces-101	28	19	the	the	DET
alces-101	28	20	boundary	boundary	ADJ
alces-101	28	21	waters	waters	PROPN
alces-101	28	22	canoe	canoe	NOUN
alces-101	28	23	area	area	PROPN
alces-101	28	24	wilderness	wilderness	NOUN
alces-101	28	25	(	(	PUNCT
alces-101	28	26	bwcaw	bwcaw	PROPN
alces-101	28	27	,	,	PUNCT
alces-101	28	28	pastor	pastor	NOUN
alces-101	28	29	and	and	CCONJ
alces-101	28	30	mladenoff	mladenoff	NOUN
alces-101	28	31	1992	1992	NUM
alces-101	28	32	)	)	PUNCT
alces-101	28	33	.	.	PUNCT
alces-101	29	1	wetlands	wetland	NOUN
alces-101	29	2	including	include	VERB
alces-101	29	3	small	small	ADJ
alces-101	29	4	to	to	PART
alces-101	29	5	medium	medium	ADJ
alces-101	29	6	sized	sized	ADJ
alces-101	29	7	lakes	lake	NOUN
alces-101	29	8	,	,	PUNCT
alces-101	29	9	bogs	bog	NOUN
alces-101	29	10	,	,	PUNCT
alces-101	29	11	marsh	marsh	NOUN
alces-101	29	12	,	,	PUNCT
alces-101	29	13	and	and	CCONJ
alces-101	29	14	small	small	ADJ
alces-101	29	15	streams	stream	NOUN
alces-101	29	16	are	be	AUX
alces-101	29	17	interspersed	intersperse	VERB
alces-101	29	18	on	on	ADP
alces-101	29	19	a	a	DET
alces-101	29	20	low	low	ADJ
alces-101	29	21	plateau	plateau	NOUN
alces-101	29	22	that	that	PRON
alces-101	29	23	rises	rise	VERB
alces-101	29	24	abruptly	abruptly	ADV
alces-101	29	25	from	from	ADP
alces-101	29	26	lake	lake	PROPN
alces-101	29	27	superior	superior	ADJ
alces-101	29	28	to	to	ADP
alces-101	29	29	a	a	DET
alces-101	29	30	crest	crest	NOUN
alces-101	29	31	approximately	approximately	ADV
alces-101	29	32	700	700	NUM
alces-101	29	33	m	m	VERB
alces-101	29	34	above	above	ADP
alces-101	29	35	sea	sea	NOUN
alces-101	29	36	level	level	NOUN
alces-101	29	37	(	(	PUNCT
alces-101	29	38	heinselman	heinselman	NOUN
alces-101	29	39	1996	1996	NUM
alces-101	29	40	)	)	PUNCT
alces-101	29	41	.	.	PUNCT
alces-101	30	1	a	a	DET
alces-101	30	2	northeast	northeast	NOUN
alces-101	30	3	-	-	PUNCT
alces-101	30	4	southwest	southwest	NOUN
alces-101	30	5	continental	continental	PROPN
alces-101	30	6	divide	divide	PROPN
alces-101	30	7	runs	run	VERB
alces-101	30	8	down	down	ADP
alces-101	30	9	the	the	DET
alces-101	30	10	middle	middle	NOUN
alces-101	30	11	of	of	ADP
alces-101	30	12	the	the	DET
alces-101	30	13	plateau	plateau	NOUN
alces-101	30	14	with	with	ADP
alces-101	30	15	water	water	NOUN
alces-101	30	16	flowing	flow	VERB
alces-101	30	17	southeast	southeast	ADV
alces-101	30	18	into	into	ADP
alces-101	30	19	lake	lake	PROPN
alces-101	30	20	superior	superior	ADJ
alces-101	30	21	or	or	CCONJ
alces-101	30	22	northwest	northwest	NOUN
alces-101	30	23	into	into	ADP
alces-101	30	24	the	the	DET
alces-101	30	25	hudsonian	hudsonian	NOUN
alces-101	30	26	watershed	watershed	PROPN
alces-101	30	27	.	.	PUNCT
alces-101	31	1	the	the	DET
alces-101	31	2	aerial	aerial	ADJ
alces-101	31	3	sampling	sampling	NOUN
alces-101	31	4	frame	frame	NOUN
alces-101	31	5	was	be	AUX
alces-101	31	6	a	a	DET
alces-101	31	7	mosaic	mosaic	ADJ
alces-101	31	8	of	of	ADP
alces-101	31	9	conifer	conifer	NOUN
alces-101	31	10	communities	community	NOUN
alces-101	31	11	classified	classify	VERB
alces-101	31	12	as	as	ADP
alces-101	31	13	the	the	DET
alces-101	31	14	northern	northern	ADJ
alces-101	31	15	superior	superior	ADJ
alces-101	31	16	upland	upland	NOUN
alces-101	31	17	section	section	NOUN
alces-101	31	18	(	(	PUNCT
alces-101	31	19	minnesota	minnesota	PROPN
alces-101	31	20	department	department	PROPN
alces-101	31	21	of	of	ADP
alces-101	31	22	natural	natural	ADJ
alces-101	31	23	resources	resource	NOUN
alces-101	31	24	[	[	X
alces-101	31	25	mndnr	mndnr	NOUN
alces-101	31	26	]	]	PUNCT
alces-101	31	27	2007	2007	NUM
alces-101	31	28	)	)	PUNCT
alces-101	31	29	.	.	PUNCT
alces-101	32	1	the	the	DET
alces-101	32	2	landscape	landscape	NOUN
alces-101	32	3	was	be	AUX
alces-101	32	4	characterized	characterize	VERB
alces-101	32	5	by	by	ADP
alces-101	32	6	northern	northern	ADJ
alces-101	32	7	white	white	PROPN
alces-101	32	8	cedar	cedar	PROPN
alces-101	32	9	(	(	PUNCT
alces-101	32	10	thuja	thuja	NOUN
alces-101	32	11	occidentalis	occidentalis	NOUN
alces-101	32	12	)	)	PUNCT
alces-101	32	13	,	,	PUNCT
alces-101	32	14	black	black	ADJ
alces-101	32	15	spruce	spruce	NOUN
alces-101	32	16	(	(	PUNCT
alces-101	32	17	picea	picea	NOUN
alces-101	32	18	mariana	mariana	PROPN
alces-101	32	19	)	)	PUNCT
alces-101	32	20	,	,	PUNCT
alces-101	32	21	and	and	CCONJ
alces-101	32	22	tamarack	tamarack	NOUN
alces-101	32	23	(	(	PUNCT
alces-101	32	24	larix	larix	PROPN
alces-101	32	25	laricina	laricina	PROPN
alces-101	32	26	)	)	PUNCT
alces-101	32	27	on	on	ADP
alces-101	32	28	the	the	DET
alces-101	32	29	lowlands	lowland	NOUN
alces-101	32	30	,	,	PUNCT
alces-101	32	31	and	and	CCONJ
alces-101	32	32	balsam	balsam	NOUN
alces-101	32	33	fir	fir	NOUN
alces-101	32	34	(	(	PUNCT
alces-101	32	35	abies	abie	NOUN
alces-101	32	36	balsamea	balsamea	VERB
alces-101	32	37	)	)	PUNCT
alces-101	32	38	,	,	PUNCT
alces-101	32	39	white	white	ADJ
alces-101	32	40	spruce	spruce	NOUN
alces-101	32	41	(	(	PUNCT
alces-101	32	42	p.	p.	NOUN
alces-101	32	43	glauca	glauca	NOUN
alces-101	32	44	)	)	PUNCT
alces-101	32	45	,	,	PUNCT
alces-101	32	46	and	and	CCONJ
alces-101	32	47	jack	jack	PROPN
alces-101	32	48	(	(	PUNCT
alces-101	32	49	pinus	pinus	PROPN
alces-101	32	50	banksiana	banksiana	PROPN
alces-101	32	51	)	)	PUNCT
alces-101	32	52	,	,	PUNCT
alces-101	32	53	white	white	X
alces-101	32	54	(	(	PUNCT
alces-101	32	55	p.	p.	NOUN
alces-101	32	56	strobus	strobus	PROPN
alces-101	32	57	)	)	PUNCT
alces-101	32	58	,	,	PUNCT
alces-101	32	59	and	and	CCONJ
alces-101	32	60	red	red	ADJ
alces-101	32	61	pine	pine	NOUN
alces-101	32	62	(	(	PUNCT
alces-101	32	63	p.	p.	NOUN
alces-101	32	64	resinosa	resinosa	PROPN
alces-101	32	65	)	)	PUNCT
alces-101	32	66	on	on	ADP
alces-101	32	67	the	the	DET
alces-101	32	68	uplands	upland	NOUN
alces-101	32	69	.	.	PUNCT
alces-101	33	1	deciduous	deciduous	ADJ
alces-101	33	2	species	specie	NOUN
alces-101	33	3	,	,	PUNCT
alces-101	33	4	primarily	primarily	ADV
alces-101	33	5	quaking	quake	VERB
alces-101	33	6	aspen	aspen	NOUN
alces-101	33	7	(	(	PUNCT
alces-101	33	8	populus	populus	ADJ
alces-101	33	9	tremuloides	tremuloide	NOUN
alces-101	33	10	)	)	PUNCT
alces-101	33	11	and	and	CCONJ
alces-101	33	12	white	white	PROPN
alces-101	33	13	birch	birch	NOUN
alces-101	33	14	(	(	PUNCT
alces-101	33	15	betula	betula	PROPN
alces-101	33	16	papyrifera	papyrifera	NOUN
alces-101	33	17	)	)	PUNCT
alces-101	33	18	,	,	PUNCT
alces-101	33	19	occurred	occur	VERB
alces-101	33	20	on	on	ADP
alces-101	33	21	the	the	DET
alces-101	33	22	uplands	upland	NOUN
alces-101	33	23	in	in	ADP
alces-101	33	24	hardwood	hardwood	NOUN
alces-101	33	25	stands	stand	VERB
alces-101	33	26	or	or	CCONJ
alces-101	33	27	were	be	AUX
alces-101	33	28	intermixed	intermix	VERB
alces-101	33	29	with	with	ADP
alces-101	33	30	conifers	conifer	NOUN
alces-101	33	31	.	.	PUNCT
alces-101	34	1	although	although	SCONJ
alces-101	34	2	logging	logging	NOUN
alces-101	34	3	is	be	AUX
alces-101	34	4	not	not	PART
alces-101	34	5	allowed	allow	VERB
alces-101	34	6	in	in	ADP
alces-101	34	7	the	the	DET
alces-101	34	8	bwcaw	bwcaw	NOUN
alces-101	34	9	portion	portion	NOUN
alces-101	34	10	of	of	ADP
alces-101	34	11	the	the	DET
alces-101	34	12	aerial	aerial	ADJ
alces-101	34	13	sampling	sampling	NOUN
alces-101	34	14	frame	frame	NOUN
alces-101	34	15	(	(	PUNCT
alces-101	34	16	fig	fig	NOUN
alces-101	34	17	.	.	NOUN
alces-101	35	1	1	1	NUM
alces-101	35	2	)	)	PUNCT
alces-101	35	3	,	,	PUNCT
alces-101	35	4	extensive	extensive	ADJ
alces-101	35	5	disturbance	disturbance	NOUN
alces-101	35	6	occurred	occur	VERB
alces-101	35	7	in	in	ADP
alces-101	35	8	1999	1999	NUM
alces-101	35	9	.	.	PUNCT
alces-101	36	1	a	a	DET
alces-101	36	2	severe	severe	ADJ
alces-101	36	3	windstorm	windstorm	NOUN
alces-101	36	4	broke	break	VERB
alces-101	36	5	off	off	ADP
alces-101	36	6	or	or	CCONJ
alces-101	36	7	uprooted	uproot	VERB
alces-101	36	8	millions	million	NOUN
alces-101	36	9	of	of	ADP
alces-101	36	10	trees	tree	NOUN
alces-101	36	11	in	in	ADP
alces-101	36	12	an	an	DET
alces-101	36	13	area	area	NOUN
alces-101	36	14	of	of	ADP
alces-101	36	15	roughly	roughly	ADV
alces-101	36	16	1,900	1,900	NUM
alces-101	36	17	km2	km2	NOUN
alces-101	36	18	(	(	PUNCT
alces-101	36	19	usda	usda	PROPN
alces-101	36	20	forest	forest	NOUN
alces-101	36	21	service	service	NOUN
alces-101	36	22	2002	2002	NUM
alces-101	36	23	)	)	PUNCT
alces-101	36	24	.	.	PUNCT
alces-101	37	1	large	large	ADJ
alces-101	37	2	wildfires	wildfire	NOUN
alces-101	37	3	disturbed	disturb	VERB
alces-101	37	4	an	an	DET
alces-101	37	5	additional	additional	ADJ
alces-101	37	6	430	430	NUM
alces-101	37	7	km2	km2	NOUN
alces-101	37	8	in	in	ADP
alces-101	37	9	2006	2006	NUM
alces-101	37	10	and	and	CCONJ
alces-101	37	11	2007	2007	NUM
alces-101	37	12	(	(	PUNCT
alces-101	37	13	fites	fit	VERB
alces-101	37	14	et	et	PROPN
alces-101	37	15	al	al	PROPN
alces-101	37	16	.	.	PROPN
alces-101	37	17	2007	2007	NUM
alces-101	37	18	)	)	PUNCT
alces-101	37	19	.	.	PUNCT
alces-101	38	1	outside	outside	ADP
alces-101	38	2	the	the	DET
alces-101	38	3	bwcaw	bwcaw	NOUN
alces-101	38	4	,	,	PUNCT
alces-101	38	5	extensive	extensive	ADJ
alces-101	38	6	commercial	commercial	ADJ
alces-101	38	7	logging	logging	NOUN
alces-101	38	8	has	have	AUX
alces-101	38	9	occurred	occur	VERB
alces-101	38	10	on	on	ADP
alces-101	38	11	state	state	NOUN
alces-101	38	12	,	,	PUNCT
alces-101	38	13	federal	federal	ADJ
alces-101	38	14	,	,	PUNCT
alces-101	38	15	and	and	CCONJ
alces-101	38	16	private	private	ADJ
alces-101	38	17	lands	land	NOUN
alces-101	38	18	.	.	PUNCT
alces-101	39	1	survey	survey	NOUN
alces-101	39	2	data	datum	NOUN
alces-101	39	3	and	and	CCONJ
alces-101	39	4	stratification	stratification	NOUN
alces-101	39	5	variables	variable	NOUN
alces-101	39	6	we	we	PRON
alces-101	39	7	limited	limit	VERB
alces-101	39	8	our	our	PRON
alces-101	39	9	analysis	analysis	NOUN
alces-101	39	10	to	to	ADP
alces-101	39	11	surveys	survey	NOUN
alces-101	39	12	after	after	ADP
alces-101	39	13	2005	2005	NUM
alces-101	39	14	when	when	SCONJ
alces-101	39	15	we	we	PRON
alces-101	39	16	made	make	VERB
alces-101	39	17	3	3	NUM
alces-101	39	18	major	major	ADJ
alces-101	39	19	changes	change	NOUN
alces-101	39	20	to	to	ADP
alces-101	39	21	the	the	DET
alces-101	39	22	protocol	protocol	NOUN
alces-101	39	23	.	.	PUNCT
alces-101	40	1	we	we	PRON
alces-101	40	2	switched	switch	VERB
alces-101	40	3	from	from	ADP
alces-101	40	4	fixed	fix	VERB
alces-101	40	5	-	-	PUNCT
alces-101	40	6	wing	wing	NOUN
alces-101	40	7	aircraft	aircraft	NOUN
alces-101	40	8	to	to	ADP
alces-101	40	9	helicopters	helicopter	NOUN
alces-101	40	10	,	,	PUNCT
alces-101	40	11	we	we	PRON
alces-101	40	12	shifted	shift	VERB
alces-101	40	13	from	from	ADP
alces-101	40	14	using	use	VERB
alces-101	40	15	irregularly	irregularly	ADV
alces-101	40	16	shaped	shape	VERB
alces-101	40	17	survey	survey	NOUN
alces-101	40	18	plots	plot	NOUN
alces-101	40	19	to	to	ADP
alces-101	40	20	a	a	DET
alces-101	40	21	grid	grid	NOUN
alces-101	40	22	of	of	ADP
alces-101	40	23	rectangular	rectangular	ADJ
alces-101	40	24	plots	plot	NOUN
alces-101	40	25	(	(	PUNCT
alces-101	40	26	4.3	4.3	NUM
alces-101	40	27	x	x	SYM
alces-101	40	28	8.0	8.0	NUM
alces-101	40	29	km	km	NOUN
alces-101	40	30	)	)	PUNCT
alces-101	40	31	,	,	PUNCT
alces-101	40	32	and	and	CCONJ
alces-101	40	33	we	we	PRON
alces-101	40	34	changed	change	VERB
alces-101	40	35	from	from	ADP
alces-101	40	36	using	use	VERB
alces-101	40	37	double	double	ADJ
alces-101	40	38	sampling	sampling	NOUN
alces-101	40	39	to	to	PART
alces-101	40	40	adjust	adjust	VERB
alces-101	40	41	for	for	ADP
alces-101	40	42	sightability	sightability	NOUN
alces-101	40	43	bias	bias	NOUN
alces-101	40	44	(	(	PUNCT
alces-101	40	45	gasaway	gasaway	NOUN
alces-101	40	46	et	et	PROPN
alces-101	40	47	al	al	PROPN
alces-101	40	48	.	.	PROPN
alces-101	40	49	1986	1986	NUM
alces-101	40	50	)	)	PUNCT
alces-101	40	51	to	to	ADP
alces-101	40	52	the	the	DET
alces-101	40	53	development	development	NOUN
alces-101	40	54	and	and	CCONJ
alces-101	40	55	use	use	NOUN
alces-101	40	56	of	of	ADP
alces-101	40	57	a	a	DET
alces-101	40	58	sightability	sightability	NOUN
alces-101	40	59	model	model	NOUN
alces-101	40	60	(	(	PUNCT
alces-101	40	61	anderson	anderson	PROPN
alces-101	40	62	and	and	CCONJ
alces-101	40	63	lindsey	lindsey	PROPN
alces-101	40	64	1996	1996	NUM
alces-101	40	65	,	,	PUNCT
alces-101	41	1	quayle	quayle	PROPN
alces-101	41	2	et	et	PROPN
alces-101	41	3	al	al	PROPN
alces-101	41	4	.	.	PROPN
alces-101	41	5	2001	2001	NUM
alces-101	41	6	,	,	PUNCT
alces-101	41	7	giudice	giudice	PROPN
alces-101	41	8	et	et	PROPN
alces-101	41	9	al	al	PROPN
alces-101	41	10	.	.	PROPN
alces-101	41	11	2012	2012	NUM
alces-101	41	12	)	)	PUNCT
alces-101	41	13	.	.	PUNCT
alces-101	42	1	prior	prior	ADV
alces-101	42	2	to	to	ADP
alces-101	42	3	the	the	DET
alces-101	42	4	2005	2005	NUM
alces-101	42	5	and	and	CCONJ
alces-101	42	6	2010	2010	NUM
alces-101	42	7	surveys	survey	NOUN
alces-101	42	8	,	,	PUNCT
alces-101	42	9	we	we	PRON
alces-101	42	10	re	re	VERB
alces-101	42	11	-	-	VERB
alces-101	42	12	stratified	stratify	VERB
alces-101	42	13	all	all	DET
alces-101	42	14	survey	survey	NOUN
alces-101	42	15	plots	plot	NOUN
alces-101	42	16	.	.	PUNCT
alces-101	43	1	low	low	ADJ
alces-101	43	2	density	density	NOUN
alces-101	43	3	plots	plot	NOUN
alces-101	43	4	were	be	AUX
alces-101	43	5	expected	expect	VERB
alces-101	43	6	to	to	PART
alces-101	43	7	contain	contain	VERB
alces-101	43	8	≤7	≤7	PROPN
alces-101	43	9	moose	moose	NOUN
alces-101	43	10	(	(	PUNCT
alces-101	43	11	0.2	0.2	NUM
alces-101	43	12	moose	moose	NOUN
alces-101	43	13	/	/	SYM
alces-101	43	14	km2	km2	PROPN
alces-101	43	15	)	)	PUNCT
alces-101	43	16	,	,	PUNCT
alces-101	43	17	medium	medium	ADJ
alces-101	43	18	density	density	NOUN
alces-101	43	19	plots	plot	VERB
alces-101	43	20	8	8	NUM
alces-101	43	21	-	-	SYM
alces-101	43	22	20	20	NUM
alces-101	43	23	moose	moose	NOUN
alces-101	43	24	(	(	PUNCT
alces-101	43	25	0.2	0.2	NUM
alces-101	43	26	-	-	PUNCT
alces-101	43	27	0.6	0.6	NUM
alces-101	43	28	moose/	moose/	NUM
alces-101	43	29	km2	km2	NOUN
alces-101	43	30	)	)	PUNCT
alces-101	43	31	,	,	PUNCT
alces-101	43	32	and	and	CCONJ
alces-101	43	33	high	high	ADJ
alces-101	43	34	density	density	NOUN
alces-101	43	35	plots	plot	NOUN
alces-101	43	36	≥21	≥21	VERB
alces-101	43	37	moose	moose	NOUN
alces-101	43	38	(	(	PUNCT
alces-101	43	39	0.6	0.6	NUM
alces-101	43	40	moose	moose	NOUN
alces-101	43	41	/	/	SYM
alces-101	43	42	km2	km2	NOUN
alces-101	43	43	)	)	PUNCT
alces-101	43	44	.	.	PUNCT
alces-101	44	1	as	as	SCONJ
alces-101	44	2	described	describe	VERB
alces-101	44	3	in	in	ADP
alces-101	44	4	lenarz	lenarz	PROPN
alces-101	44	5	et	et	PROPN
alces-101	44	6	al	al	PROPN
alces-101	44	7	.	.	PROPN
alces-101	45	1	(	(	PUNCT
alces-101	45	2	2011	2011	NUM
alces-101	45	3	)	)	PUNCT
alces-101	45	4	,	,	PUNCT
alces-101	45	5	we	we	PRON
alces-101	45	6	modified	modify	VERB
alces-101	45	7	a	a	DET
alces-101	45	8	land	land	NOUN
alces-101	45	9	use	use	NOUN
alces-101	45	10	and	and	CCONJ
alces-101	45	11	land	land	NOUN
alces-101	45	12	cover	cover	NOUN
alces-101	45	13	(	(	PUNCT
alces-101	45	14	lulc	lulc	PROPN
alces-101	45	15	)	)	PUNCT
alces-101	45	16	raster	raster	NOUN
alces-101	45	17	layer	layer	NOUN
alces-101	45	18	provided	provide	VERB
alces-101	45	19	by	by	ADP
alces-101	45	20	mndnr	mndnr	NOUN
alces-101	45	21	(	(	PUNCT
alces-101	45	22	1998	1998	NUM
alces-101	45	23	)	)	PUNCT
alces-101	45	24	for	for	ADP
alces-101	45	25	potential	potential	ADJ
alces-101	45	26	use	use	NOUN
alces-101	45	27	in	in	ADP
alces-101	45	28	determining	determine	VERB
alces-101	45	29	strata	strata	NOUN
alces-101	45	30	.	.	PUNCT
alces-101	46	1	the	the	DET
alces-101	46	2	base	base	NOUN
alces-101	46	3	source	source	NOUN
alces-101	46	4	layer	layer	NOUN
alces-101	46	5	was	be	AUX
alces-101	46	6	derived	derive	VERB
alces-101	46	7	from	from	ADP
alces-101	46	8	landsat	landsat	PROPN
alces-101	46	9	30	30	NUM
alces-101	46	10	-	-	PUNCT
alces-101	46	11	meter	meter	NOUN
alces-101	46	12	thematic	thematic	ADJ
alces-101	46	13	satellite	satellite	NOUN
alces-101	46	14	imagery	imagery	NOUN
alces-101	46	15	dated	date	VERB
alces-101	46	16	summers	summer	NOUN
alces-101	46	17	1991	1991	NUM
alces-101	46	18	-	-	SYM
alces-101	46	19	1996	1996	NUM
alces-101	46	20	and	and	CCONJ
alces-101	46	21	then	then	ADV
alces-101	46	22	divided	divide	VERB
alces-101	46	23	into	into	ADP
alces-101	46	24	16	16	NUM
alces-101	46	25	classes	class	NOUN
alces-101	46	26	based	base	VERB
alces-101	46	27	on	on	ADP
alces-101	46	28	imagery	imagery	NOUN
alces-101	46	29	dated	date	VERB
alces-101	46	30	1995	1995	NUM
alces-101	46	31	and	and	CCONJ
alces-101	46	32	alces	alce	NOUN
alces-101	46	33	vol	vol	NOUN
alces-101	46	34	.	.	PROPN
alces-101	47	1	48	48	NUM
alces-101	47	2	,	,	PUNCT
alces-101	47	3	2012	2012	NUM
alces-101	47	4	fieberg	fieberg	NOUN
alces-101	47	5	and	and	CCONJ
alces-101	47	6	lenarz	lenarz	ADJ
alces-101	47	7	–	–	PUNCT
alces-101	47	8	strata	strata	ADJ
alces-101	47	9	formation	formation	NOUN
alces-101	47	10	in	in	ADP
alces-101	47	11	aerial	aerial	ADJ
alces-101	47	12	moose	moose	NOUN
alces-101	47	13	surveys	survey	NOUN
alces-101	47	14	81	81	NUM
alces-101	47	15	1996	1996	NUM
alces-101	47	16	.	.	PUNCT
alces-101	48	1	forest	forest	NOUN
alces-101	48	2	disturbance	disturbance	PROPN
alces-101	48	3	data	datum	NOUN
alces-101	48	4	(	(	PUNCT
alces-101	48	5	p.	p.	NOUN
alces-101	48	6	t.	t.	PROPN
alces-101	48	7	wolter	wolter	PROPN
alces-101	48	8	,	,	PUNCT
alces-101	48	9	university	university	PROPN
alces-101	48	10	of	of	ADP
alces-101	48	11	wisconsin	wisconsin	PROPN
alces-101	48	12	,	,	PUNCT
alces-101	48	13	green	green	PROPN
alces-101	48	14	bay	bay	PROPN
alces-101	48	15	,	,	PUNCT
alces-101	48	16	unpublished	unpublished	ADJ
alces-101	48	17	data	datum	NOUN
alces-101	48	18	)	)	PUNCT
alces-101	48	19	were	be	AUX
alces-101	48	20	added	add	VERB
alces-101	48	21	to	to	PART
alces-101	48	22	reflect	reflect	VERB
alces-101	48	23	areas	area	NOUN
alces-101	48	24	of	of	ADP
alces-101	48	25	regenerating	regenerate	VERB
alces-101	48	26	deciduous	deciduous	ADJ
alces-101	48	27	and	and	CCONJ
alces-101	48	28	coniferous	coniferous	ADJ
alces-101	48	29	forest	forest	NOUN
alces-101	48	30	following	follow	VERB
alces-101	48	31	logging	log	VERB
alces-101	48	32	(	(	PUNCT
alces-101	48	33	1975	1975	NUM
alces-101	48	34	-	-	SYM
alces-101	48	35	2000	2000	NUM
alces-101	48	36	)	)	PUNCT
alces-101	48	37	,	,	PUNCT
alces-101	48	38	as	as	ADV
alces-101	48	39	well	well	ADV
alces-101	48	40	as	as	ADP
alces-101	48	41	areas	area	NOUN
alces-101	48	42	recovering	recover	VERB
alces-101	48	43	from	from	ADP
alces-101	48	44	the	the	DET
alces-101	48	45	1999	1999	NUM
alces-101	48	46	windstorm	windstorm	NOUN
alces-101	48	47	event	event	NOUN
alces-101	48	48	.	.	PUNCT
alces-101	49	1	we	we	PRON
alces-101	49	2	combined	combine	VERB
alces-101	49	3	blowdown	blowdown	NOUN
alces-101	49	4	,	,	PUNCT
alces-101	49	5	hardwood	hardwood	NOUN
alces-101	49	6	regeneration	regeneration	NOUN
alces-101	49	7	,	,	PUNCT
alces-101	49	8	and	and	CCONJ
alces-101	49	9	conifer	conifer	NOUN
alces-101	49	10	-	-	PUNCT
alces-101	49	11	regeneration	regeneration	NOUN
alces-101	49	12	classifications	classification	NOUN
alces-101	49	13	from	from	ADP
alces-101	49	14	wolter	wolter	NOUN
alces-101	49	15	’s	’s	PART
alces-101	49	16	data	datum	NOUN
alces-101	49	17	with	with	ADP
alces-101	49	18	the	the	DET
alces-101	49	19	cover	cover	NOUN
alces-101	49	20	type	type	NOUN
alces-101	49	21	listed	list	VERB
alces-101	49	22	as	as	ADP
alces-101	49	23	“	"	PUNCT
alces-101	49	24	cutover	cutover	NOUN
alces-101	49	25	”	"	PUNCT
alces-101	49	26	from	from	ADP
alces-101	49	27	the	the	DET
alces-101	49	28	lulc	lulc	PROPN
alces-101	49	29	layer	layer	NOUN
alces-101	49	30	into	into	ADP
alces-101	49	31	a	a	DET
alces-101	49	32	single	single	ADJ
alces-101	49	33	cover	cover	NOUN
alces-101	49	34	type	type	NOUN
alces-101	49	35	to	to	PART
alces-101	49	36	reflect	reflect	VERB
alces-101	49	37	disturbed	disturbed	ADJ
alces-101	49	38	habitats	habitat	NOUN
alces-101	49	39	.	.	PUNCT
alces-101	50	1	cutover	cutover	NOUN
alces-101	50	2	represented	represent	VERB
alces-101	50	3	areas	area	NOUN
alces-101	50	4	where	where	SCONJ
alces-101	50	5	commercial	commercial	ADJ
alces-101	50	6	timber	timber	NOUN
alces-101	50	7	was	be	AUX
alces-101	50	8	removed	remove	VERB
alces-101	50	9	between	between	ADP
alces-101	50	10	1980	1980	NUM
alces-101	50	11	and	and	CCONJ
alces-101	50	12	1995	1995	NUM
alces-101	50	13	.	.	PUNCT
alces-101	51	1	we	we	PRON
alces-101	51	2	also	also	ADV
alces-101	51	3	used	use	VERB
alces-101	51	4	6	6	NUM
alces-101	51	5	other	other	ADJ
alces-101	51	6	cover	cover	NOUN
alces-101	51	7	types	type	NOUN
alces-101	51	8	from	from	ADP
alces-101	51	9	the	the	DET
alces-101	51	10	lulc	lulc	PROPN
alces-101	51	11	layer	layer	NOUN
alces-101	51	12	:	:	PUNCT
alces-101	51	13	mixed	mixed	ADJ
alces-101	51	14	,	,	PUNCT
alces-101	51	15	conifer	conifer	NOUN
alces-101	51	16	,	,	PUNCT
alces-101	51	17	bog	bog	NOUN
alces-101	51	18	,	,	PUNCT
alces-101	51	19	deciduous	deciduous	ADJ
alces-101	51	20	,	,	PUNCT
alces-101	51	21	marsh	marsh	ADJ
alces-101	51	22	,	,	PUNCT
alces-101	51	23	and	and	CCONJ
alces-101	51	24	water	water	NOUN
alces-101	51	25	.	.	PUNCT
alces-101	52	1	in	in	ADP
alces-101	52	2	arcgis	arcgis	PROPN
alces-101	52	3	9.2	9.2	NUM
alces-101	52	4	(	(	PUNCT
alces-101	52	5	environmental	environmental	ADJ
alces-101	52	6	systems	systems	PROPN
alces-101	52	7	research	research	PROPN
alces-101	52	8	institute	institute	PROPN
alces-101	52	9	,	,	PUNCT
alces-101	52	10	redlands	redlands	PROPN
alces-101	52	11	,	,	PUNCT
alces-101	52	12	ca	ca	PROPN
alces-101	52	13	,	,	PUNCT
alces-101	52	14	usa	usa	PROPN
alces-101	52	15	)	)	PUNCT
alces-101	52	16	we	we	PRON
alces-101	52	17	clipped	clip	VERB
alces-101	52	18	the	the	DET
alces-101	52	19	vegetative	vegetative	ADJ
alces-101	52	20	cover	cover	NOUN
alces-101	52	21	layer	layer	NOUN
alces-101	52	22	for	for	ADP
alces-101	52	23	each	each	DET
alces-101	52	24	survey	survey	NOUN
alces-101	52	25	plot	plot	NOUN
alces-101	52	26	and	and	CCONJ
alces-101	52	27	computed	compute	VERB
alces-101	52	28	the	the	DET
alces-101	52	29	area	area	NOUN
alces-101	52	30	(	(	PUNCT
alces-101	52	31	m2	m2	PROPN
alces-101	52	32	)	)	PUNCT
alces-101	52	33	of	of	ADP
alces-101	52	34	each	each	DET
alces-101	52	35	cover	cover	NOUN
alces-101	52	36	type	type	NOUN
alces-101	52	37	within	within	ADP
alces-101	52	38	each	each	DET
alces-101	52	39	plot	plot	NOUN
alces-101	52	40	.	.	PUNCT
alces-101	53	1	finally	finally	ADV
alces-101	53	2	,	,	PUNCT
alces-101	53	3	we	we	PRON
alces-101	53	4	calculated	calculate	VERB
alces-101	53	5	the	the	DET
alces-101	53	6	proportion	proportion	NOUN
alces-101	53	7	of	of	ADP
alces-101	53	8	the	the	DET
alces-101	53	9	7	7	NUM
alces-101	53	10	cover	cover	NOUN
alces-101	53	11	types	type	NOUN
alces-101	53	12	that	that	PRON
alces-101	53	13	made	make	VERB
alces-101	53	14	up	up	ADP
alces-101	53	15	each	each	DET
alces-101	53	16	survey	survey	NOUN
alces-101	53	17	plot	plot	NOUN
alces-101	53	18	.	.	PUNCT
alces-101	54	1	alternative	alternative	ADJ
alces-101	54	2	stratification	stratification	NOUN
alces-101	54	3	schemes	scheme	NOUN
alces-101	54	4	several	several	ADJ
alces-101	54	5	classical	classical	ADJ
alces-101	54	6	rules	rule	NOUN
alces-101	54	7	have	have	AUX
alces-101	54	8	been	be	AUX
alces-101	54	9	developed	develop	VERB
alces-101	54	10	for	for	ADP
alces-101	54	11	forming	form	VERB
alces-101	54	12	stratum	stratum	NOUN
alces-101	54	13	boundaries	boundary	NOUN
alces-101	54	14	using	use	VERB
alces-101	54	15	a	a	DET
alces-101	54	16	single	single	ADJ
alces-101	54	17	stratification	stratification	NOUN
alces-101	54	18	variable	variable	NOUN
alces-101	54	19	,	,	PUNCT
alces-101	54	20	x	x	PRON
alces-101	54	21	,	,	PUNCT
alces-101	54	22	assumed	assume	VERB
alces-101	54	23	to	to	PART
alces-101	54	24	be	be	AUX
alces-101	54	25	correlated	correlate	VERB
alces-101	54	26	with	with	ADP
alces-101	54	27	the	the	DET
alces-101	54	28	survey	survey	NOUN
alces-101	54	29	response	response	NOUN
alces-101	54	30	variable	variable	NOUN
alces-101	54	31	,	,	PUNCT
alces-101	54	32	y.	y.	NOUN
alces-101	54	33	in	in	ADP
alces-101	54	34	particular	particular	ADJ
alces-101	54	35	,	,	PUNCT
alces-101	54	36	the	the	DET
alces-101	54	37	cumulative	cumulative	ADJ
alces-101	54	38	square	square	ADJ
alces-101	54	39	root	root	NOUN
alces-101	54	40	frequency	frequency	NOUN
alces-101	54	41	of	of	ADP
alces-101	54	42	sampling	sample	VERB
alces-101	54	43	units	unit	NOUN
alces-101	54	44	(	(	PUNCT
alces-101	54	45	“	"	PUNCT
alces-101	54	46	cum√f	cum√f	NOUN
alces-101	54	47	”	"	PUNCT
alces-101	54	48	)	)	PUNCT
alces-101	54	49	rule	rule	NOUN
alces-101	54	50	developed	develop	VERB
alces-101	54	51	by	by	ADP
alces-101	54	52	dalenius	dalenius	NOUN
alces-101	54	53	and	and	CCONJ
alces-101	54	54	hodges	hodge	NOUN
alces-101	54	55	(	(	PUNCT
alces-101	54	56	1959	1959	NUM
alces-101	54	57	)	)	PUNCT
alces-101	54	58	is	be	AUX
alces-101	54	59	widely	widely	ADV
alces-101	54	60	applied	apply	VERB
alces-101	54	61	in	in	ADP
alces-101	54	62	practice	practice	NOUN
alces-101	54	63	(	(	PUNCT
alces-101	54	64	see	see	VERB
alces-101	54	65	cochran	cochran	PROPN
alces-101	54	66	1977	1977	NUM
alces-101	54	67	:	:	PUNCT
alces-101	54	68	127	127	NUM
alces-101	54	69	-	-	SYM
alces-101	54	70	131	131	NUM
alces-101	54	71	for	for	ADP
alces-101	54	72	a	a	DET
alces-101	54	73	description	description	NOUN
alces-101	54	74	and	and	CCONJ
alces-101	54	75	exemplification	exemplification	NOUN
alces-101	54	76	of	of	ADP
alces-101	54	77	the	the	DET
alces-101	54	78	general	general	ADJ
alces-101	54	79	approach	approach	NOUN
alces-101	54	80	)	)	PUNCT
alces-101	54	81	.	.	PUNCT
alces-101	55	1	we	we	PRON
alces-101	55	2	illustrate	illustrate	VERB
alces-101	55	3	the	the	DET
alces-101	55	4	rule	rule	NOUN
alces-101	55	5	using	use	VERB
alces-101	55	6	x	x	X
alces-101	55	7	=	=	PUNCT
alces-101	55	8	the	the	DET
alces-101	55	9	proportion	proportion	NOUN
alces-101	55	10	of	of	ADP
alces-101	55	11	each	each	DET
alces-101	55	12	sample	sample	NOUN
alces-101	55	13	plot	plot	NOUN
alces-101	55	14	that	that	PRON
alces-101	55	15	is	be	AUX
alces-101	55	16	classified	classify	VERB
alces-101	55	17	as	as	ADP
alces-101	55	18	“	"	PUNCT
alces-101	55	19	disturbed	disturbed	ADJ
alces-101	55	20	”	"	PUNCT
alces-101	55	21	habitat	habitat	NOUN
alces-101	55	22	.	.	PUNCT
alces-101	56	1	to	to	PART
alces-101	56	2	apply	apply	VERB
alces-101	56	3	this	this	DET
alces-101	56	4	rule	rule	NOUN
alces-101	56	5	,	,	PUNCT
alces-101	56	6	one	one	NUM
alces-101	56	7	first	first	ADV
alces-101	56	8	forms	form	VERB
alces-101	56	9	a	a	DET
alces-101	56	10	frequency	frequency	NOUN
alces-101	56	11	fig.1	fig.1	PROPN
alces-101	56	12	.	.	PUNCT
alces-101	57	1	sampling	sample	VERB
alces-101	57	2	frame	frame	NOUN
alces-101	57	3	used	use	VERB
alces-101	57	4	for	for	ADP
alces-101	57	5	the	the	DET
alces-101	57	6	aerial	aerial	ADJ
alces-101	57	7	moose	moose	NOUN
alces-101	57	8	survey	survey	NOUN
alces-101	57	9	in	in	ADP
alces-101	57	10	northeastern	northeastern	ADJ
alces-101	57	11	minnesota	minnesota	PROPN
alces-101	57	12	,	,	PUNCT
alces-101	57	13	usa	usa	PROPN
alces-101	57	14	,	,	PUNCT
alces-101	57	15	2005	2005	NUM
alces-101	57	16	-	-	SYM
alces-101	57	17	2011	2011	NUM
alces-101	57	18	.	.	PUNCT
alces-101	58	1	stratification	stratification	NOUN
alces-101	58	2	indicated	indicate	VERB
alces-101	58	3	by	by	ADP
alces-101	58	4	shades	shade	NOUN
alces-101	58	5	of	of	ADP
alces-101	58	6	gray	gray	ADJ
alces-101	58	7	.	.	PUNCT
alces-101	59	1	white	white	ADJ
alces-101	59	2	grid	grid	NOUN
alces-101	59	3	blocks	block	NOUN
alces-101	59	4	(	(	PUNCT
alces-101	59	5	urban	urban	ADJ
alces-101	59	6	,	,	PUNCT
alces-101	59	7	iron	iron	NOUN
alces-101	59	8	mines	mine	NOUN
alces-101	59	9	)	)	PUNCT
alces-101	59	10	were	be	AUX
alces-101	59	11	expected	expect	VERB
alces-101	59	12	to	to	PART
alces-101	59	13	contain	contain	VERB
alces-101	59	14	0	0	NUM
alces-101	59	15	moose	moose	NOUN
alces-101	59	16	and	and	CCONJ
alces-101	59	17	were	be	AUX
alces-101	59	18	not	not	PART
alces-101	59	19	included	include	VERB
alces-101	59	20	in	in	ADP
alces-101	59	21	the	the	DET
alces-101	59	22	survey	survey	NOUN
alces-101	59	23	.	.	PUNCT
alces-101	60	1	strata	strata	ADJ
alces-101	60	2	formation	formation	NOUN
alces-101	60	3	in	in	ADP
alces-101	60	4	aerial	aerial	ADJ
alces-101	60	5	moose	moose	NOUN
alces-101	60	6	surveys	survey	NOUN
alces-101	60	7	–	–	PUNCT
alces-101	60	8	fieberg	fieberg	NOUN
alces-101	60	9	and	and	CCONJ
alces-101	60	10	lenarz	lenarz	ADJ
alces-101	60	11	alces	alce	NOUN
alces-101	60	12	vol	vol	NOUN
alces-101	60	13	.	.	PROPN
alces-101	61	1	48	48	NUM
alces-101	61	2	,	,	PUNCT
alces-101	61	3	2012	2012	NUM
alces-101	61	4	82	82	NUM
alces-101	61	5	table	table	NOUN
alces-101	61	6	containing	contain	VERB
alces-101	61	7	counts	count	NOUN
alces-101	61	8	of	of	ADP
alces-101	61	9	the	the	DET
alces-101	61	10	number	number	NOUN
alces-101	61	11	of	of	ADP
alces-101	61	12	observations	observation	NOUN
alces-101	61	13	falling	fall	VERB
alces-101	61	14	into	into	ADP
alces-101	61	15	(	(	PUNCT
alces-101	61	16	usually	usually	ADV
alces-101	61	17	,	,	PUNCT
alces-101	61	18	equally	equally	ADV
alces-101	61	19	sized	sized	ADJ
alces-101	61	20	)	)	PUNCT
alces-101	61	21	class	class	NOUN
alces-101	61	22	intervals	interval	NOUN
alces-101	61	23	;	;	PUNCT
alces-101	61	24	in	in	ADP
alces-101	61	25	our	our	PRON
alces-101	61	26	example	example	NOUN
alces-101	61	27	,	,	PUNCT
alces-101	61	28	we	we	PRON
alces-101	61	29	considered	consider	VERB
alces-101	61	30	30	30	NUM
alces-101	61	31	intervals	interval	NOUN
alces-101	61	32	(	(	PUNCT
alces-101	61	33	table	table	NOUN
alces-101	61	34	1	1	NUM
alces-101	61	35	)	)	PUNCT
alces-101	61	36	.	.	PUNCT
alces-101	62	1	next	next	ADV
alces-101	62	2	,	,	PUNCT
alces-101	62	3	one	one	PRON
alces-101	62	4	constructs	construct	VERB
alces-101	62	5	a	a	DET
alces-101	62	6	column	column	NOUN
alces-101	62	7	holding	hold	VERB
alces-101	62	8	the	the	DET
alces-101	62	9	square	square	ADJ
alces-101	62	10	root	root	NOUN
alces-101	62	11	of	of	ADP
alces-101	62	12	the	the	DET
alces-101	62	13	frequency	frequency	NOUN
alces-101	62	14	count	count	NOUN
alces-101	62	15	,	,	PUNCT
alces-101	62	16	√f	√f	PRON
alces-101	62	17	(	(	PUNCT
alces-101	62	18	column	column	NOUN
alces-101	62	19	3	3	NUM
alces-101	62	20	of	of	ADP
alces-101	62	21	table	table	NOUN
alces-101	62	22	1	1	NUM
alces-101	62	23	)	)	PUNCT
alces-101	62	24	,	,	PUNCT
alces-101	62	25	and	and	CCONJ
alces-101	62	26	a	a	DET
alces-101	62	27	column	column	NOUN
alces-101	62	28	holding	hold	VERB
alces-101	62	29	the	the	DET
alces-101	62	30	cumulative	cumulative	ADJ
alces-101	62	31	sum	sum	NOUN
alces-101	62	32	of	of	ADP
alces-101	62	33	√f	√f	PRON
alces-101	62	34	,	,	PUNCT
alces-101	62	35	cum√f	cum√f	NOUN
alces-101	62	36	(	(	PUNCT
alces-101	62	37	column	column	NOUN
alces-101	62	38	4	4	NUM
alces-101	62	39	of	of	ADP
alces-101	62	40	table	table	NOUN
alces-101	62	41	1	1	NUM
alces-101	62	42	)	)	PUNCT
alces-101	62	43	.	.	PUNCT
alces-101	63	1	stratum	stratum	PROPN
alces-101	63	2	boundaries	boundary	NOUN
alces-101	63	3	are	be	AUX
alces-101	63	4	chosen	choose	VERB
alces-101	63	5	to	to	PART
alces-101	63	6	give	give	VERB
alces-101	63	7	roughly	roughly	ADV
alces-101	63	8	equally	equally	ADV
alces-101	63	9	sized	sized	ADJ
alces-101	63	10	intervals	interval	NOUN
alces-101	63	11	on	on	ADP
alces-101	63	12	the	the	DET
alces-101	63	13	cum√f	cum√f	NOUN
alces-101	63	14	scale	scale	NOUN
alces-101	63	15	.	.	PUNCT
alces-101	64	1	for	for	ADP
alces-101	64	2	example	example	NOUN
alces-101	64	3	,	,	PUNCT
alces-101	64	4	to	to	PART
alces-101	64	5	form	form	VERB
alces-101	64	6	3	3	NUM
alces-101	64	7	strata	strata	NOUN
alces-101	64	8	we	we	PRON
alces-101	64	9	would	would	AUX
alces-101	64	10	divide	divide	VERB
alces-101	64	11	the	the	DET
alces-101	64	12	total	total	ADJ
alces-101	64	13	cum√f	cum√f	NOUN
alces-101	64	14	=	=	PUNCT
alces-101	64	15	75.15	75.15	NUM
alces-101	64	16	by	by	ADP
alces-101	64	17	3	3	NUM
alces-101	64	18	≈	≈	PROPN
alces-101	64	19	25	25	NUM
alces-101	64	20	,	,	PUNCT
alces-101	64	21	resulting	result	VERB
alces-101	64	22	in	in	ADP
alces-101	64	23	the	the	DET
alces-101	64	24	following	follow	VERB
alces-101	64	25	3	3	NUM
alces-101	64	26	strata	strata	NOUN
alces-101	64	27	definitions	definition	NOUN
alces-101	64	28	:	:	PUNCT
alces-101	64	29	cum√f	cum√f	NOUN
alces-101	64	30	≤	≤	ADV
alces-101	64	31	25	25	NUM
alces-101	64	32	(	(	PUNCT
alces-101	64	33	stratum	stratum	NOUN
alces-101	64	34	1	1	NUM
alces-101	64	35	)	)	PUNCT
alces-101	64	36	,	,	PUNCT
alces-101	64	37	25	25	NUM
alces-101	64	38	<	<	X
alces-101	64	39	cum√f	cum√f	PROPN
alces-101	64	40	≤	≤	ADV
alces-101	64	41	50	50	NUM
alces-101	64	42	(	(	PUNCT
alces-101	64	43	stratum	stratum	NOUN
alces-101	64	44	2	2	NUM
alces-101	64	45	)	)	PUNCT
alces-101	64	46	,	,	PUNCT
alces-101	64	47	and	and	CCONJ
alces-101	64	48	cum√f	cum√f	NOUN
alces-101	64	49	>	>	ADP
alces-101	64	50	50	50	NUM
alces-101	64	51	(	(	PUNCT
alces-101	64	52	stratum	stratum	NOUN
alces-101	64	53	3	3	NUM
alces-101	64	54	)	)	PUNCT
alces-101	64	55	.	.	PUNCT
alces-101	65	1	values	value	NOUN
alces-101	65	2	of	of	ADP
alces-101	65	3	disturb	disturb	NOUN
alces-101	65	4	=	=	SYM
alces-101	65	5	0.1	0.1	NUM
alces-101	65	6	and	and	CCONJ
alces-101	65	7	0.201	0.201	NUM
alces-101	65	8	create	create	VERB
alces-101	65	9	stratum	stratum	NOUN
alces-101	65	10	boundaries	boundary	NOUN
alces-101	65	11	that	that	PRON
alces-101	65	12	best	well	ADV
alces-101	65	13	approximate	approximate	VERB
alces-101	65	14	this	this	DET
alces-101	65	15	goal	goal	NOUN
alces-101	65	16	.	.	PUNCT
alces-101	66	1	fabrizi	fabrizi	ADJ
alces-101	66	2	and	and	CCONJ
alces-101	66	3	trivisano	trivisano	PROPN
alces-101	66	4	(	(	PUNCT
alces-101	66	5	2007	2007	NUM
alces-101	66	6	)	)	PUNCT
alces-101	66	7	suggested	suggest	VERB
alces-101	66	8	a	a	DET
alces-101	66	9	method	method	NOUN
alces-101	66	10	for	for	ADP
alces-101	66	11	determining	determine	VERB
alces-101	66	12	stratum	stratum	NOUN
alces-101	66	13	boundaries	boundary	NOUN
alces-101	66	14	when	when	SCONJ
alces-101	66	15	multiple	multiple	ADJ
alces-101	66	16	stratification	stratification	NOUN
alces-101	66	17	variables	variable	NOUN
alces-101	66	18	are	be	AUX
alces-101	66	19	available	available	ADJ
alces-101	66	20	along	along	ADP
alces-101	66	21	with	with	ADP
alces-101	66	22	prior	prior	ADJ
alces-101	66	23	-	-	PUNCT
alces-101	66	24	survey	survey	NOUN
alces-101	66	25	response	response	NOUN
alces-101	66	26	data	datum	NOUN
alces-101	66	27	.	.	PUNCT
alces-101	67	1	to	to	PART
alces-101	67	2	apply	apply	VERB
alces-101	67	3	their	their	PRON
alces-101	67	4	approach	approach	NOUN
alces-101	67	5	,	,	PUNCT
alces-101	67	6	stratum	stratum	PROPN
alces-101	67	7	boundaries	boundary	NOUN
alces-101	67	8	are	be	AUX
alces-101	67	9	formed	form	VERB
alces-101	67	10	using	use	VERB
alces-101	67	11	a	a	DET
alces-101	67	12	2	2	NUM
alces-101	67	13	-	-	PUNCT
alces-101	67	14	step	step	NOUN
alces-101	67	15	process	process	NOUN
alces-101	67	16	:	:	PUNCT
alces-101	67	17	1	1	X
alces-101	67	18	)	)	PUNCT
alces-101	67	19	a	a	DET
alces-101	67	20	model	model	NOUN
alces-101	67	21	is	be	AUX
alces-101	67	22	fit	fit	ADJ
alces-101	67	23	to	to	ADP
alces-101	67	24	prior	prior	ADJ
alces-101	67	25	survey	survey	NOUN
alces-101	67	26	data	datum	NOUN
alces-101	67	27	which	which	PRON
alces-101	67	28	allows	allow	VERB
alces-101	67	29	prediction	prediction	NOUN
alces-101	67	30	of	of	ADP
alces-101	67	31	survey	survey	NOUN
alces-101	67	32	responses	response	NOUN
alces-101	67	33	from	from	ADP
alces-101	67	34	the	the	DET
alces-101	67	35	group	group	NOUN
alces-101	67	36	of	of	ADP
alces-101	67	37	available	available	ADJ
alces-101	67	38	stratification	stratification	NOUN
alces-101	67	39	variables	variable	NOUN
alces-101	67	40	;	;	PUNCT
alces-101	67	41	2	2	X
alces-101	67	42	)	)	PUNCT
alces-101	67	43	stratum	stratum	PROPN
alces-101	67	44	boundaries	boundary	NOUN
alces-101	67	45	are	be	AUX
alces-101	67	46	formed	form	VERB
alces-101	67	47	by	by	ADP
alces-101	67	48	applying	apply	VERB
alces-101	67	49	the	the	DET
alces-101	67	50	cum√f	cum√f	NOUN
alces-101	67	51	rule	rule	VERB
alces-101	67	52	to	to	ADP
alces-101	67	53	these	these	DET
alces-101	67	54	model	model	NOUN
alces-101	67	55	-	-	PUNCT
alces-101	67	56	based	base	VERB
alces-101	67	57	predictions	prediction	NOUN
alces-101	67	58	(	(	PUNCT
alces-101	67	59	rather	rather	ADV
alces-101	67	60	than	than	ADP
alces-101	67	61	a	a	DET
alces-101	67	62	single	single	ADJ
alces-101	67	63	predictor	predictor	NOUN
alces-101	67	64	,	,	PUNCT
alces-101	67	65	x	x	NOUN
alces-101	67	66	)	)	PUNCT
alces-101	67	67	.	.	PUNCT
alces-101	68	1	following	follow	VERB
alces-101	68	2	this	this	DET
alces-101	68	3	general	general	ADJ
alces-101	68	4	approach	approach	NOUN
alces-101	68	5	,	,	PUNCT
alces-101	68	6	we	we	PRON
alces-101	68	7	evaluated	evaluate	VERB
alces-101	68	8	alternative	alternative	ADJ
alces-101	68	9	stratification	stratification	NOUN
alces-101	68	10	schemes	scheme	NOUN
alces-101	68	11	that	that	PRON
alces-101	68	12	incorporated	incorporate	VERB
alces-101	68	13	land	land	NOUN
alces-101	68	14	cover	cover	NOUN
alces-101	68	15	-	-	PUNCT
alces-101	68	16	type	type	NOUN
alces-101	68	17	composition	composition	NOUN
alces-101	68	18	data	datum	NOUN
alces-101	68	19	.	.	PUNCT
alces-101	69	1	we	we	PRON
alces-101	69	2	explored	explore	VERB
alces-101	69	3	2	2	NUM
alces-101	69	4	different	different	ADJ
alces-101	69	5	predictive	predictive	NOUN
alces-101	69	6	modeling	modeling	NOUN
alces-101	69	7	approaches	approach	NOUN
alces-101	69	8	using	use	VERB
alces-101	69	9	past	past	ADJ
alces-101	69	10	survey	survey	NOUN
alces-101	69	11	counts	count	NOUN
alces-101	69	12	as	as	ADP
alces-101	69	13	the	the	DET
alces-101	69	14	response	response	NOUN
alces-101	69	15	data	datum	NOUN
alces-101	69	16	:	:	PUNCT
alces-101	69	17	1	1	X
alces-101	69	18	)	)	PUNCT
alces-101	69	19	we	we	PRON
alces-101	69	20	fit	fit	VERB
alces-101	69	21	a	a	DET
alces-101	69	22	poisson	poisson	NOUN
alces-101	69	23	regression	regression	NOUN
alces-101	69	24	model	model	NOUN
alces-101	69	25	with	with	ADP
alces-101	69	26	linear	linear	ADJ
alces-101	69	27	and	and	CCONJ
alces-101	69	28	additive	additive	ADJ
alces-101	69	29	effects	effect	NOUN
alces-101	69	30	of	of	ADP
alces-101	69	31	land	land	NOUN
alces-101	69	32	-	-	PUNCT
alces-101	69	33	cover	cover	NOUN
alces-101	69	34	variables	variable	NOUN
alces-101	69	35	(	(	PUNCT
alces-101	69	36	on	on	ADP
alces-101	69	37	the	the	DET
alces-101	69	38	log	log	NOUN
alces-101	69	39	scale	scale	NOUN
alces-101	69	40	)	)	PUNCT
alces-101	69	41	;	;	PUNCT
alces-101	69	42	2	2	X
alces-101	69	43	)	)	PUNCT
alces-101	69	44	we	we	PRON
alces-101	69	45	formed	form	VERB
alces-101	69	46	predictions	prediction	NOUN
alces-101	69	47	using	use	VERB
alces-101	69	48	boosted	boost	VERB
alces-101	69	49	regression	regression	NOUN
alces-101	69	50	trees	tree	NOUN
alces-101	69	51	(	(	PUNCT
alces-101	69	52	hereafter	hereafter	ADV
alces-101	69	53	‘	'	PUNCT
alces-101	69	54	boosted	boost	VERB
alces-101	69	55	trees	tree	NOUN
alces-101	69	56	’	'	PUNCT
alces-101	69	57	)	)	PUNCT
alces-101	69	58	,	,	PUNCT
alces-101	69	59	a	a	DET
alces-101	69	60	non	non	ADJ
alces-101	69	61	-	-	ADJ
alces-101	69	62	parametric	parametric	ADJ
alces-101	69	63	method	method	NOUN
alces-101	69	64	that	that	PRON
alces-101	69	65	tends	tend	VERB
alces-101	69	66	to	to	PART
alces-101	69	67	perform	perform	VERB
alces-101	69	68	well	well	ADV
alces-101	69	69	in	in	ADP
alces-101	69	70	settings	setting	NOUN
alces-101	69	71	where	where	SCONJ
alces-101	69	72	interactions	interaction	NOUN
alces-101	69	73	are	be	AUX
alces-101	69	74	prevalent	prevalent	ADJ
alces-101	69	75	or	or	CCONJ
alces-101	69	76	the	the	DET
alces-101	69	77	relationship	relationship	NOUN
alces-101	69	78	between	between	ADP
alces-101	69	79	response	response	NOUN
alces-101	69	80	and	and	CCONJ
alces-101	69	81	predictor	predictor	NOUN
alces-101	69	82	variables	variable	NOUN
alces-101	69	83	is	be	AUX
alces-101	69	84	highly	highly	ADV
alces-101	69	85	non	non	ADJ
alces-101	69	86	-	-	ADJ
alces-101	69	87	linear	linear	ADJ
alces-101	69	88	(	(	PUNCT
alces-101	69	89	de’ath	de’ath	NOUN
alces-101	69	90	2007	2007	NUM
alces-101	69	91	,	,	PUNCT
alces-101	69	92	elith	elith	ADP
alces-101	69	93	et	et	PROPN
alces-101	69	94	al	al	PROPN
alces-101	69	95	.	.	PROPN
alces-101	69	96	2008	2008	NUM
alces-101	69	97	)	)	PUNCT
alces-101	69	98	.	.	PUNCT
alces-101	70	1	boosted	boost	VERB
alces-101	70	2	trees	tree	NOUN
alces-101	70	3	were	be	AUX
alces-101	70	4	among	among	ADP
alces-101	70	5	the	the	DET
alces-101	70	6	best	well	ADV
alces-101	70	7	-	-	PUNCT
alces-101	70	8	performing	perform	VERB
alces-101	70	9	methods	method	NOUN
alces-101	70	10	for	for	ADP
alces-101	70	11	forming	form	VERB
alces-101	70	12	strata	strata	NOUN
alces-101	70	13	across	across	ADP
alces-101	70	14	a	a	DET
alces-101	70	15	range	range	NOUN
alces-101	70	16	of	of	ADP
alces-101	70	17	simulation	simulation	NOUN
alces-101	70	18	scenarios	scenario	NOUN
alces-101	70	19	considered	consider	VERB
alces-101	70	20	by	by	ADP
alces-101	70	21	fabrizi	fabrizi	PROPN
alces-101	70	22	and	and	CCONJ
alces-101	70	23	trivsano	trivsano	PROPN
alces-101	70	24	(	(	PUNCT
alces-101	70	25	2007	2007	NUM
alces-101	70	26	)	)	PUNCT
alces-101	70	27	.	.	PUNCT
alces-101	71	1	boosted	boost	VERB
alces-101	71	2	trees	tree	NOUN
alces-101	71	3	require	require	VERB
alces-101	71	4	specification	specification	NOUN
alces-101	71	5	of	of	ADP
alces-101	71	6	several	several	ADJ
alces-101	71	7	tuning	tuning	NOUN
alces-101	71	8	parameters	parameter	NOUN
alces-101	71	9	;	;	PUNCT
alces-101	71	10	see	see	VERB
alces-101	71	11	appendix	appendix	VERB
alces-101	71	12	i	i	PRON
alces-101	71	13	for	for	ADP
alces-101	71	14	model	model	NOUN
alces-101	71	15	fitting	fitting	ADJ
alces-101	71	16	details	detail	NOUN
alces-101	71	17	.	.	PUNCT
alces-101	72	1	in	in	ADP
alces-101	72	2	addition	addition	NOUN
alces-101	72	3	,	,	PUNCT
alces-101	72	4	we	we	PRON
alces-101	72	5	recomclass	recomclass	VERB
alces-101	72	6	interval1	interval1	ADJ
alces-101	72	7	frequency	frequency	NOUN
alces-101	72	8	(	(	PUNCT
alces-101	72	9	f)2	f)2	NOUN
alces-101	72	10	√f	√f	PRON
alces-101	72	11	cum√f	cum√f	PROPN
alces-101	73	1	[	[	X
alces-101	73	2	0,0.0164	0,0.0164	NOUN
alces-101	73	3	]	]	X
alces-101	73	4	40	40	NUM
alces-101	73	5	6.32	6.32	NUM
alces-101	73	6	6.32	6.32	NUM
alces-101	73	7	(	(	PUNCT
alces-101	73	8	0.0164,0.0332	0.0164,0.0332	X
alces-101	73	9	]	]	X
alces-101	73	10	20	20	NUM
alces-101	73	11	4.47	4.47	NUM
alces-101	73	12	10.80	10.80	NUM
alces-101	73	13	(	(	PUNCT
alces-101	73	14	0.0332,0.05	0.0332,0.05	PROPN
alces-101	73	15	]	]	PUNCT
alces-101	73	16	17	17	NUM
alces-101	73	17	4.12	4.12	NUM
alces-101	73	18	14.92	14.92	NUM
alces-101	73	19	(	(	PUNCT
alces-101	73	20	0.05,0.0668	0.05,0.0668	NOUN
alces-101	73	21	]	]	PUNCT
alces-101	73	22	14	14	NUM
alces-101	73	23	3.74	3.74	NUM
alces-101	73	24	18.66	18.66	NUM
alces-101	73	25	(	(	PUNCT
alces-101	73	26	0.0668,0.0836	0.0668,0.0836	SYM
alces-101	73	27	]	]	X
alces-101	73	28	16	16	NUM
alces-101	73	29	4.00	4.00	NUM
alces-101	73	30	22.66	22.66	NUM
alces-101	73	31	(	(	PUNCT
alces-101	73	32	0.0836,0.1	0.0836,0.1	PROPN
alces-101	73	33	]	]	X
alces-101	73	34	18	18	NUM
alces-101	73	35	4.24	4.24	NUM
alces-101	73	36	26.90	26.90	NUM
alces-101	73	37	(	(	PUNCT
alces-101	73	38	0.1,0.117	0.1,0.117	NOUN
alces-101	73	39	]	]	X
alces-101	73	40	26	26	NUM
alces-101	73	41	5.10	5.10	NUM
alces-101	73	42	32.00	32.00	NUM
alces-101	73	43	(	(	PUNCT
alces-101	73	44	0.117,0.134	0.117,0.134	PROPN
alces-101	73	45	]	]	X
alces-101	73	46	13	13	NUM
alces-101	73	47	3.61	3.61	NUM
alces-101	73	48	35.61	35.61	NUM
alces-101	73	49	(	(	PUNCT
alces-101	73	50	0.134,0.151	0.134,0.151	NUM
alces-101	73	51	]	]	X
alces-101	73	52	12	12	NUM
alces-101	73	53	3.46	3.46	NUM
alces-101	73	54	39.07	39.07	NUM
alces-101	73	55	(	(	PUNCT
alces-101	73	56	0.151,0.168	0.151,0.168	PROPN
alces-101	73	57	]	]	X
alces-101	73	58	12	12	NUM
alces-101	73	59	3.46	3.46	NUM
alces-101	73	60	42.54	42.54	NUM
alces-101	73	61	(	(	PUNCT
alces-101	73	62	0.168,0.184	0.168,0.184	NOUN
alces-101	73	63	]	]	X
alces-101	73	64	21	21	NUM
alces-101	73	65	4.58	4.58	NUM
alces-101	73	66	47.12	47.12	NUM
alces-101	73	67	(	(	PUNCT
alces-101	73	68	0.184,0.201	0.184,0.201	PROPN
alces-101	73	69	]	]	X
alces-101	73	70	14	14	NUM
alces-101	73	71	3.74	3.74	NUM
alces-101	73	72	50.86	50.86	NUM
alces-101	73	73	(	(	PUNCT
alces-101	73	74	0.201,0.218	0.201,0.218	NOUN
alces-101	73	75	]	]	X
alces-101	73	76	6	6	NUM
alces-101	73	77	2.45	2.45	NUM
alces-101	73	78	53.31	53.31	NUM
alces-101	73	79	(	(	PUNCT
alces-101	73	80	0.218,0.235	0.218,0.235	PROPN
alces-101	73	81	]	]	X
alces-101	73	82	8	8	NUM
alces-101	73	83	2.83	2.83	NUM
alces-101	73	84	56.14	56.14	NUM
alces-101	73	85	(	(	PUNCT
alces-101	73	86	0.235,0.252	0.235,0.252	PROPN
alces-101	73	87	]	]	X
alces-101	73	88	7	7	NUM
alces-101	73	89	2.65	2.65	NUM
alces-101	73	90	58.78	58.78	NUM
alces-101	73	91	(	(	PUNCT
alces-101	73	92	0.252,0.268	0.252,0.268	PROPN
alces-101	73	93	]	]	X
alces-101	73	94	5	5	NUM
alces-101	73	95	2.24	2.24	NUM
alces-101	73	96	61.02	61.02	NUM
alces-101	73	97	(	(	PUNCT
alces-101	73	98	0.268,0.285	0.268,0.285	PROPN
alces-101	73	99	]	]	X
alces-101	73	100	6	6	NUM
alces-101	73	101	2.45	2.45	NUM
alces-101	73	102	63.47	63.47	NUM
alces-101	73	103	(	(	PUNCT
alces-101	73	104	0.285,0.302	0.285,0.302	PROPN
alces-101	73	105	]	]	X
alces-101	73	106	5	5	NUM
alces-101	73	107	2.24	2.24	NUM
alces-101	73	108	65.71	65.71	NUM
alces-101	73	109	(	(	PUNCT
alces-101	73	110	0.302,0.319	0.302,0.319	PROPN
alces-101	73	111	]	]	X
alces-101	73	112	6	6	NUM
alces-101	73	113	2.45	2.45	NUM
alces-101	73	114	68.16	68.16	NUM
alces-101	73	115	(	(	PUNCT
alces-101	73	116	0.319,0.336	0.319,0.336	PROPN
alces-101	73	117	]	]	X
alces-101	73	118	1	1	NUM
alces-101	73	119	1.00	1.00	NUM
alces-101	73	120	69.16	69.16	NUM
alces-101	73	121	(	(	PUNCT
alces-101	73	122	0.336,0.352	0.336,0.352	VERB
alces-101	73	123	]	]	X
alces-101	73	124	1	1	NUM
alces-101	73	125	1.00	1.00	NUM
alces-101	73	126	70.16	70.16	NUM
alces-101	73	127	(	(	PUNCT
alces-101	73	128	0.352,0.369	0.352,0.369	PROPN
alces-101	73	129	]	]	X
alces-101	73	130	1	1	NUM
alces-101	73	131	1.00	1.00	NUM
alces-101	73	132	71.16	71.16	NUM
alces-101	73	133	(	(	PUNCT
alces-101	73	134	0.369,0.386	0.369,0.386	PROPN
alces-101	73	135	]	]	X
alces-101	73	136	1	1	NUM
alces-101	73	137	1.00	1.00	NUM
alces-101	73	138	72.16	72.16	NUM
alces-101	73	139	(	(	PUNCT
alces-101	73	140	0.386,0.403	0.386,0.403	PROPN
alces-101	73	141	]	]	X
alces-101	73	142	1	1	NUM
alces-101	73	143	1.00	1.00	NUM
alces-101	73	144	73.16	73.16	NUM
alces-101	73	145	(	(	PUNCT
alces-101	73	146	0.403,0.42	0.403,0.42	NUM
alces-101	73	147	]	]	X
alces-101	73	148	1	1	NUM
alces-101	73	149	1.00	1.00	NUM
alces-101	73	150	74.16	74.16	NUM
alces-101	73	151	(	(	PUNCT
alces-101	73	152	0.42,0.436	0.42,0.436	NOUN
alces-101	73	153	]	]	X
alces-101	73	154	0	0	NUM
alces-101	73	155	0.00	0.00	NUM
alces-101	73	156	74.16	74.16	NUM
alces-101	73	157	(	(	PUNCT
alces-101	73	158	0.436,0.453	0.436,0.453	NUM
alces-101	73	159	]	]	PUNCT
alces-101	73	160	0	0	NUM
alces-101	73	161	0.00	0.00	NUM
alces-101	73	162	74.16	74.16	NUM
alces-101	73	163	(	(	PUNCT
alces-101	73	164	0.453,0.47	0.453,0.47	X
alces-101	73	165	]	]	X
alces-101	73	166	0	0	NUM
alces-101	73	167	0.00	0.00	NUM
alces-101	73	168	74.16	74.16	NUM
alces-101	73	169	(	(	PUNCT
alces-101	73	170	0.47,0.487	0.47,0.487	PROPN
alces-101	73	171	]	]	X
alces-101	73	172	0	0	NUM
alces-101	73	173	0.00	0.00	NUM
alces-101	73	174	74.16	74.16	NUM
alces-101	73	175	(	(	PUNCT
alces-101	73	176	0.487,0.504	0.487,0.504	SYM
alces-101	73	177	]	]	X
alces-101	73	178	1	1	NUM
alces-101	73	179	1.00	1.00	NUM
alces-101	73	180	75.16	75.16	NUM
alces-101	73	181	table	table	NOUN
alces-101	73	182	1	1	NUM
alces-101	73	183	.	.	PUNCT
alces-101	73	184	application	application	NOUN
alces-101	73	185	of	of	ADP
alces-101	73	186	the	the	DET
alces-101	73	187	cum√f	cum√f	NOUN
alces-101	73	188	rule	rule	VERB
alces-101	73	189	with	with	ADP
alces-101	73	190	“	"	PUNCT
alces-101	73	191	disturb	disturb	VERB
alces-101	73	192	”	"	PUNCT
alces-101	73	193	(	(	PUNCT
alces-101	73	194	percent	percent	NOUN
alces-101	73	195	of	of	ADP
alces-101	73	196	the	the	DET
alces-101	73	197	sample	sample	NOUN
alces-101	73	198	plot	plot	NOUN
alces-101	73	199	classified	classify	VERB
alces-101	73	200	as	as	ADP
alces-101	73	201	disturbed	disturbed	ADJ
alces-101	73	202	habitat	habitat	NOUN
alces-101	73	203	)	)	PUNCT
alces-101	73	204	as	as	ADP
alces-101	73	205	the	the	DET
alces-101	73	206	stratification	stratification	NOUN
alces-101	73	207	variable	variable	NOUN
alces-101	73	208	.	.	PUNCT
alces-101	74	1	1class	1class	NUM
alces-101	74	2	interval	interval	NOUN
alces-101	74	3	for	for	ADP
alces-101	74	4	the	the	DET
alces-101	74	5	“	"	PUNCT
alces-101	74	6	disturb	disturb	VERB
alces-101	74	7	”	"	PUNCT
alces-101	74	8	land	land	NOUN
alces-101	74	9	-	-	PUNCT
alces-101	74	10	cover	cover	NOUN
alces-101	74	11	variable	variable	NOUN
alces-101	74	12	(	(	PUNCT
alces-101	74	13	describing	describe	VERB
alces-101	74	14	the	the	DET
alces-101	74	15	amount	amount	NOUN
alces-101	74	16	of	of	ADP
alces-101	74	17	disturbed	disturbed	ADJ
alces-101	74	18	habitat	habitat	NOUN
alces-101	74	19	in	in	ADP
alces-101	74	20	a	a	DET
alces-101	74	21	sample	sample	NOUN
alces-101	74	22	plot	plot	NOUN
alces-101	74	23	)	)	PUNCT
alces-101	74	24	.	.	PUNCT
alces-101	75	1	the	the	DET
alces-101	75	2	(	(	PUNCT
alces-101	75	3	x1	x1	PROPN
alces-101	75	4	,	,	PUNCT
alces-101	75	5	x2	x2	ADJ
alces-101	75	6	]	]	PUNCT
alces-101	75	7	format	format	NOUN
alces-101	75	8	indicates	indicate	VERB
alces-101	75	9	the	the	DET
alces-101	75	10	interval	interval	NOUN
alces-101	75	11	includes	include	VERB
alces-101	75	12	all	all	DET
alces-101	75	13	values	value	NOUN
alces-101	75	14	>	>	X
alces-101	75	15	x1	x1	PROPN
alces-101	75	16	and	and	CCONJ
alces-101	75	17	≤	≤	ADJ
alces-101	75	18	x2	x2	PROPN
alces-101	75	19	.	.	PUNCT
alces-101	76	1	2count	2count	NUM
alces-101	76	2	of	of	ADP
alces-101	76	3	the	the	DET
alces-101	76	4	number	number	NOUN
alces-101	76	5	of	of	ADP
alces-101	76	6	observations	observation	NOUN
alces-101	76	7	falling	fall	VERB
alces-101	76	8	within	within	ADP
alces-101	76	9	the	the	DET
alces-101	76	10	class	class	NOUN
alces-101	76	11	interval	interval	NOUN
alces-101	76	12	.	.	PUNCT
alces-101	77	1	alces	alce	NOUN
alces-101	77	2	vol	vol	NOUN
alces-101	77	3	.	.	PROPN
alces-101	78	1	48	48	NUM
alces-101	78	2	,	,	PUNCT
alces-101	78	3	2012	2012	NUM
alces-101	78	4	fieberg	fieberg	NOUN
alces-101	78	5	and	and	CCONJ
alces-101	78	6	lenarz	lenarz	ADJ
alces-101	78	7	–	–	PUNCT
alces-101	78	8	strata	strata	ADJ
alces-101	78	9	formation	formation	NOUN
alces-101	78	10	in	in	ADP
alces-101	78	11	aerial	aerial	ADJ
alces-101	78	12	moose	moose	NOUN
alces-101	78	13	surveys	survey	NOUN
alces-101	78	14	83	83	NUM
alces-101	78	15	mend	mend	VERB
alces-101	78	16	de’ath	de’ath	NOUN
alces-101	78	17	(	(	PUNCT
alces-101	78	18	2007	2007	NUM
alces-101	78	19	)	)	PUNCT
alces-101	78	20	and	and	CCONJ
alces-101	78	21	elith	elith	ADP
alces-101	78	22	et	et	PROPN
alces-101	78	23	al	al	PROPN
alces-101	78	24	.	.	PROPN
alces-101	79	1	(	(	PUNCT
alces-101	79	2	2008	2008	NUM
alces-101	79	3	)	)	PUNCT
alces-101	79	4	for	for	ADP
alces-101	79	5	an	an	DET
alces-101	79	6	introduction	introduction	NOUN
alces-101	79	7	to	to	ADP
alces-101	79	8	boosted	boost	VERB
alces-101	79	9	trees	tree	NOUN
alces-101	79	10	.	.	PUNCT
alces-101	80	1	we	we	PRON
alces-101	80	2	evaluated	evaluate	VERB
alces-101	80	3	the	the	DET
alces-101	80	4	alternative	alternative	ADJ
alces-101	80	5	stratification	stratification	NOUN
alces-101	80	6	schemes	scheme	NOUN
alces-101	80	7	by	by	ADP
alces-101	80	8	constructing	construct	VERB
alces-101	80	9	side	side	NOUN
alces-101	80	10	-	-	PUNCT
alces-101	80	11	by	by	ADP
alces-101	80	12	-	-	PUNCT
alces-101	80	13	side	side	NOUN
alces-101	80	14	box	box	NOUN
alces-101	80	15	plots	plot	NOUN
alces-101	80	16	illustrating	illustrate	VERB
alces-101	80	17	stratum	stratum	ADJ
alces-101	80	18	-	-	PUNCT
alces-101	80	19	specific	specific	ADJ
alces-101	80	20	distributions	distribution	NOUN
alces-101	80	21	of	of	ADP
alces-101	80	22	observed	observed	ADJ
alces-101	80	23	moose	moose	NOUN
alces-101	80	24	.	.	PUNCT
alces-101	81	1	in	in	ADP
alces-101	81	2	addition	addition	NOUN
alces-101	81	3	,	,	PUNCT
alces-101	81	4	we	we	PRON
alces-101	81	5	compared	compare	VERB
alces-101	81	6	the	the	DET
alces-101	81	7	expected	expect	VERB
alces-101	81	8	precision	precision	NOUN
alces-101	81	9	of	of	ADP
alces-101	81	10	a	a	DET
alces-101	81	11	stratified	stratified	ADJ
alces-101	81	12	random	random	ADJ
alces-101	81	13	sample	sample	NOUN
alces-101	81	14	of	of	ADP
alces-101	81	15	size	size	NOUN
alces-101	81	16	40	40	NUM
alces-101	81	17	,	,	PUNCT
alces-101	81	18	with	with	ADP
alces-101	81	19	(	(	PUNCT
alces-101	81	20	stratum	stratum	NOUN
alces-101	81	21	-	-	PUNCT
alces-101	81	22	specific	specific	ADJ
alces-101	81	23	)	)	PUNCT
alces-101	81	24	sampling	sample	VERB
alces-101	81	25	rates	rate	NOUN
alces-101	81	26	determined	determine	VERB
alces-101	81	27	using	use	VERB
alces-101	81	28	optimal	optimal	ADJ
alces-101	81	29	allocation	allocation	NOUN
alces-101	81	30	formulas	formula	NOUN
alces-101	81	31	(	(	PUNCT
alces-101	81	32	cochran	cochran	NOUN
alces-101	81	33	1977	1977	NUM
alces-101	81	34	)	)	PUNCT
alces-101	81	35	.	.	PUNCT
alces-101	82	1	without	without	ADP
alces-101	82	2	any	any	DET
alces-101	82	3	adjustment	adjustment	NOUN
alces-101	82	4	,	,	PUNCT
alces-101	82	5	these	these	DET
alces-101	82	6	comparisons	comparison	NOUN
alces-101	82	7	would	would	AUX
alces-101	82	8	result	result	VERB
alces-101	82	9	in	in	ADP
alces-101	82	10	optimistic	optimistic	ADJ
alces-101	82	11	performance	performance	NOUN
alces-101	82	12	measures	measure	NOUN
alces-101	82	13	for	for	ADP
alces-101	82	14	the	the	DET
alces-101	82	15	model	model	NOUN
alces-101	82	16	-	-	PUNCT
alces-101	82	17	based	base	VERB
alces-101	82	18	stratification	stratification	NOUN
alces-101	82	19	schemes	scheme	NOUN
alces-101	82	20	since	since	SCONJ
alces-101	82	21	the	the	DET
alces-101	82	22	same	same	ADJ
alces-101	82	23	data	datum	NOUN
alces-101	82	24	would	would	AUX
alces-101	82	25	be	be	AUX
alces-101	82	26	used	use	VERB
alces-101	82	27	for	for	ADP
alces-101	82	28	model	model	NOUN
alces-101	82	29	fitting	fitting	ADJ
alces-101	82	30	and	and	CCONJ
alces-101	82	31	evaluation	evaluation	NOUN
alces-101	82	32	.	.	PUNCT
alces-101	83	1	by	by	ADP
alces-101	83	2	contrast	contrast	NOUN
alces-101	83	3	,	,	PUNCT
alces-101	83	4	strata	strata	NOUN
alces-101	83	5	based	base	VERB
alces-101	83	6	on	on	ADP
alces-101	83	7	expert	expert	ADJ
alces-101	83	8	opinion	opinion	NOUN
alces-101	83	9	were	be	AUX
alces-101	83	10	formed	form	VERB
alces-101	83	11	prior	prior	ADV
alces-101	83	12	to	to	ADP
alces-101	83	13	data	data	NOUN
alces-101	83	14	collection	collection	NOUN
alces-101	83	15	(	(	PUNCT
alces-101	83	16	although	although	SCONJ
alces-101	83	17	past	past	ADJ
alces-101	83	18	survey	survey	NOUN
alces-101	83	19	data	datum	NOUN
alces-101	83	20	were	be	AUX
alces-101	83	21	occasionally	occasionally	ADV
alces-101	83	22	used	use	VERB
alces-101	83	23	to	to	PART
alces-101	83	24	change	change	VERB
alces-101	83	25	stratum	stratum	NOUN
alces-101	83	26	assignments	assignment	NOUN
alces-101	83	27	,	,	PUNCT
alces-101	83	28	these	these	DET
alces-101	83	29	temporal	temporal	ADJ
alces-101	83	30	changes	change	NOUN
alces-101	83	31	were	be	AUX
alces-101	83	32	updated	update	VERB
alces-101	83	33	in	in	ADP
alces-101	83	34	our	our	PRON
alces-101	83	35	survey	survey	NOUN
alces-101	83	36	data	datum	NOUN
alces-101	83	37	only	only	ADV
alces-101	83	38	for	for	ADP
alces-101	83	39	future	future	NOUN
alces-101	83	40	,	,	PUNCT
alces-101	83	41	and	and	CCONJ
alces-101	83	42	not	not	PART
alces-101	83	43	prior	prior	ADJ
alces-101	83	44	years	year	NOUN
alces-101	83	45	)	)	PUNCT
alces-101	83	46	.	.	PUNCT
alces-101	84	1	we	we	PRON
alces-101	84	2	used	use	VERB
alces-101	84	3	a	a	DET
alces-101	84	4	10	10	NUM
alces-101	84	5	-	-	ADJ
alces-101	84	6	fold	fold	ADJ
alces-101	84	7	cross	cross	ADJ
alces-101	84	8	-	-	ADJ
alces-101	84	9	validation	validation	ADJ
alces-101	84	10	procedure	procedure	NOUN
alces-101	84	11	to	to	PART
alces-101	84	12	allow	allow	VERB
alces-101	84	13	for	for	ADP
alces-101	84	14	a	a	DET
alces-101	84	15	more	more	ADV
alces-101	84	16	fair	fair	ADJ
alces-101	84	17	comparison	comparison	NOUN
alces-101	84	18	of	of	ADP
alces-101	84	19	the	the	DET
alces-101	84	20	stratification	stratification	NOUN
alces-101	84	21	schemes	scheme	NOUN
alces-101	84	22	.	.	PUNCT
alces-101	85	1	specifically	specifically	ADV
alces-101	85	2	,	,	PUNCT
alces-101	85	3	we	we	PRON
alces-101	85	4	split	split	VERB
alces-101	85	5	the	the	DET
alces-101	85	6	data	datum	NOUN
alces-101	85	7	into	into	ADP
alces-101	85	8	10	10	NUM
alces-101	85	9	groups	group	NOUN
alces-101	85	10	and	and	CCONJ
alces-101	85	11	fit	fit	VERB
alces-101	85	12	both	both	DET
alces-101	85	13	models	model	NOUN
alces-101	85	14	(	(	PUNCT
alces-101	85	15	poisson	poisson	NOUN
alces-101	85	16	regression	regression	NOUN
alces-101	85	17	,	,	PUNCT
alces-101	85	18	boosted	boost	VERB
alces-101	85	19	tree	tree	NOUN
alces-101	85	20	)	)	PUNCT
alces-101	85	21	10	10	NUM
alces-101	85	22	times	time	NOUN
alces-101	85	23	,	,	PUNCT
alces-101	85	24	leaving	leave	VERB
alces-101	85	25	out	out	ADP
alces-101	85	26	1/10	1/10	NUM
alces-101	85	27	of	of	ADP
alces-101	85	28	the	the	DET
alces-101	85	29	data	datum	NOUN
alces-101	85	30	on	on	ADP
alces-101	85	31	each	each	DET
alces-101	85	32	occasion	occasion	NOUN
alces-101	85	33	.	.	PUNCT
alces-101	86	1	we	we	PRON
alces-101	86	2	then	then	ADV
alces-101	86	3	used	use	VERB
alces-101	86	4	the	the	DET
alces-101	86	5	fitted	fit	VERB
alces-101	86	6	models	model	NOUN
alces-101	86	7	to	to	PART
alces-101	86	8	predict	predict	VERB
alces-101	86	9	moose	moose	NOUN
alces-101	86	10	numbers	number	NOUN
alces-101	86	11	for	for	ADP
alces-101	86	12	the	the	DET
alces-101	86	13	observations	observation	NOUN
alces-101	86	14	not	not	PART
alces-101	86	15	used	use	VERB
alces-101	86	16	in	in	ADP
alces-101	86	17	the	the	DET
alces-101	86	18	model	model	NOUN
alces-101	86	19	-	-	PUNCT
alces-101	86	20	fitting	fit	VERB
alces-101	86	21	process	process	NOUN
alces-101	86	22	.	.	PUNCT
alces-101	87	1	these	these	DET
alces-101	87	2	“	"	PUNCT
alces-101	87	3	out	out	ADP
alces-101	87	4	-	-	PUNCT
alces-101	87	5	of	of	ADP
alces-101	87	6	-	-	PUNCT
alces-101	87	7	sample	sample	NOUN
alces-101	87	8	”	"	PUNCT
alces-101	87	9	predictions	prediction	NOUN
alces-101	87	10	were	be	AUX
alces-101	87	11	combined	combine	VERB
alces-101	87	12	into	into	ADP
alces-101	87	13	a	a	DET
alces-101	87	14	new	new	ADJ
alces-101	87	15	dataset	dataset	NOUN
alces-101	87	16	and	and	CCONJ
alces-101	87	17	the	the	DET
alces-101	87	18	cum√f	cum√f	PROPN
alces-101	87	19	rule	rule	NOUN
alces-101	87	20	was	be	AUX
alces-101	87	21	applied	apply	VERB
alces-101	87	22	to	to	PART
alces-101	87	23	form	form	VERB
alces-101	87	24	strata	strata	NOUN
alces-101	87	25	.	.	PUNCT
alces-101	88	1	the	the	DET
alces-101	88	2	out	out	ADV
alces-101	88	3	-	-	PUNCT
alces-101	88	4	of	of	ADP
alces-101	88	5	-	-	PUNCT
alces-101	88	6	sample	sample	NOUN
alces-101	88	7	predictions	prediction	NOUN
alces-101	88	8	were	be	AUX
alces-101	88	9	also	also	ADV
alces-101	88	10	used	use	VERB
alces-101	88	11	to	to	PART
alces-101	88	12	allocate	allocate	VERB
alces-101	88	13	sampling	sample	VERB
alces-101	88	14	effort	effort	NOUN
alces-101	88	15	among	among	ADP
alces-101	88	16	strata	strata	NOUN
alces-101	88	17	,	,	PUNCT
alces-101	88	18	but	but	CCONJ
alces-101	88	19	the	the	DET
alces-101	88	20	expected	expect	VERB
alces-101	88	21	precision	precision	NOUN
alces-101	88	22	was	be	AUX
alces-101	88	23	calculated	calculate	VERB
alces-101	88	24	using	use	VERB
alces-101	88	25	the	the	DET
alces-101	88	26	(	(	PUNCT
alces-101	88	27	true	true	ADJ
alces-101	88	28	)	)	PUNCT
alces-101	88	29	observed	observed	ADJ
alces-101	88	30	moose	moose	NOUN
alces-101	88	31	data	datum	NOUN
alces-101	88	32	.	.	PUNCT
alces-101	89	1	we	we	PRON
alces-101	89	2	used	use	VERB
alces-101	89	3	functions	function	NOUN
alces-101	89	4	in	in	ADP
alces-101	89	5	program	program	NOUN
alces-101	89	6	r	r	NOUN
alces-101	89	7	(	(	PUNCT
alces-101	89	8	r	r	NOUN
alces-101	89	9	development	development	NOUN
alces-101	89	10	core	core	NOUN
alces-101	89	11	team	team	NOUN
alces-101	89	12	2010	2010	NUM
alces-101	89	13	)	)	PUNCT
alces-101	89	14	for	for	ADP
alces-101	89	15	model	model	NOUN
alces-101	89	16	fitting	fitting	ADJ
alces-101	89	17	and	and	CCONJ
alces-101	89	18	for	for	ADP
alces-101	89	19	testing	testing	NOUN
alces-101	89	20	stratification	stratification	NOUN
alces-101	89	21	schemes	scheme	NOUN
alces-101	89	22	.	.	PUNCT
alces-101	90	1	we	we	PRON
alces-101	90	2	used	use	VERB
alces-101	90	3	the	the	DET
alces-101	90	4	‘	'	PUNCT
alces-101	90	5	glm	glm	NOUN
alces-101	90	6	’	'	PUNCT
alces-101	90	7	function	function	NOUN
alces-101	90	8	to	to	PART
alces-101	90	9	fit	fit	VERB
alces-101	90	10	the	the	DET
alces-101	90	11	poisson	poisson	NOUN
alces-101	90	12	regression	regression	NOUN
alces-101	90	13	models	model	NOUN
alces-101	90	14	.	.	PUNCT
alces-101	91	1	we	we	PRON
alces-101	91	2	used	use	VERB
alces-101	91	3	functions	function	NOUN
alces-101	91	4	in	in	ADP
alces-101	91	5	the	the	DET
alces-101	91	6	dismo	dismo	NOUN
alces-101	91	7	and	and	CCONJ
alces-101	91	8	gbm	gbm	NOUN
alces-101	91	9	packages	package	NOUN
alces-101	91	10	(	(	PUNCT
alces-101	91	11	ridgeway	ridgeway	NOUN
alces-101	91	12	2010	2010	NUM
alces-101	91	13	,	,	PUNCT
alces-101	91	14	hijmans	hijmans	PROPN
alces-101	91	15	et	et	PROPN
alces-101	91	16	al	al	PROPN
alces-101	91	17	.	.	PROPN
alces-101	91	18	2011	2011	NUM
alces-101	91	19	)	)	PUNCT
alces-101	91	20	to	to	PART
alces-101	91	21	fit	fit	VERB
alces-101	91	22	the	the	DET
alces-101	91	23	boosted	boosted	ADJ
alces-101	91	24	tree	tree	NOUN
alces-101	91	25	model	model	NOUN
alces-101	91	26	.	.	PUNCT
alces-101	92	1	lastly	lastly	ADV
alces-101	92	2	,	,	PUNCT
alces-101	92	3	we	we	PRON
alces-101	92	4	used	use	VERB
alces-101	92	5	functions	function	NOUN
alces-101	92	6	in	in	ADP
alces-101	92	7	the	the	DET
alces-101	92	8	stratification	stratification	NOUN
alces-101	92	9	package	package	NOUN
alces-101	92	10	(	(	PUNCT
alces-101	92	11	baillargeon	baillargeon	NOUN
alces-101	92	12	and	and	CCONJ
alces-101	92	13	rivest	riv	ADJ
alces-101	92	14	2011	2011	NUM
alces-101	92	15	)	)	PUNCT
alces-101	92	16	to	to	PART
alces-101	92	17	apply	apply	VERB
alces-101	92	18	the	the	DET
alces-101	92	19	cum√f	cum√f	NOUN
alces-101	92	20	rule	rule	NOUN
alces-101	92	21	to	to	ADP
alces-101	92	22	model	model	NOUN
alces-101	92	23	-	-	PUNCT
alces-101	92	24	based	base	VERB
alces-101	92	25	predictions	prediction	NOUN
alces-101	92	26	,	,	PUNCT
alces-101	92	27	specifying	specify	VERB
alces-101	92	28	that	that	SCONJ
alces-101	92	29	we	we	PRON
alces-101	92	30	desired	desire	VERB
alces-101	92	31	3	3	NUM
alces-101	92	32	strata	strata	NOUN
alces-101	92	33	.	.	PUNCT
alces-101	93	1	results	result	NOUN
alces-101	93	2	between	between	ADP
alces-101	93	3	2005	2005	NUM
alces-101	93	4	and	and	CCONJ
alces-101	93	5	2011	2011	NUM
alces-101	93	6	,	,	PUNCT
alces-101	93	7	237	237	NUM
alces-101	93	8	plots	plot	NOUN
alces-101	93	9	were	be	AUX
alces-101	93	10	surveyed	survey	VERB
alces-101	93	11	as	as	ADP
alces-101	93	12	part	part	NOUN
alces-101	93	13	of	of	ADP
alces-101	93	14	the	the	DET
alces-101	93	15	annual	annual	ADJ
alces-101	93	16	moose	moose	NOUN
alces-101	93	17	survey	survey	NOUN
alces-101	93	18	in	in	ADP
alces-101	93	19	northeastern	northeastern	ADJ
alces-101	93	20	minnesota	minnesota	PROPN
alces-101	93	21	.	.	PUNCT
alces-101	94	1	cover	cover	NOUN
alces-101	94	2	types	type	NOUN
alces-101	94	3	were	be	AUX
alces-101	94	4	ubiquitous	ubiquitous	ADJ
alces-101	94	5	across	across	ADP
alces-101	94	6	the	the	DET
alces-101	94	7	survey	survey	NOUN
alces-101	94	8	plots	plot	NOUN
alces-101	94	9	examined	examine	VERB
alces-101	94	10	;	;	PUNCT
alces-101	94	11	86	86	NUM
alces-101	94	12	%	%	NOUN
alces-101	94	13	of	of	ADP
alces-101	94	14	the	the	DET
alces-101	94	15	surveyed	survey	VERB
alces-101	94	16	plots	plot	NOUN
alces-101	94	17	contained	contain	VERB
alces-101	94	18	all	all	DET
alces-101	94	19	7	7	NUM
alces-101	94	20	cover	cover	NOUN
alces-101	94	21	types	type	NOUN
alces-101	94	22	and	and	CCONJ
alces-101	94	23	the	the	DET
alces-101	94	24	remaining	remain	VERB
alces-101	94	25	14	14	NUM
alces-101	94	26	%	%	NOUN
alces-101	94	27	had	have	VERB
alces-101	94	28	6	6	NUM
alces-101	94	29	cover	cover	NOUN
alces-101	94	30	types	type	NOUN
alces-101	94	31	.	.	PUNCT
alces-101	95	1	disturbed	disturb	VERB
alces-101	95	2	,	,	PUNCT
alces-101	95	3	conifer	conifer	NOUN
alces-101	95	4	,	,	PUNCT
alces-101	95	5	marsh	marsh	ADJ
alces-101	95	6	,	,	PUNCT
alces-101	95	7	mixed	mixed	ADJ
alces-101	95	8	,	,	PUNCT
alces-101	95	9	and	and	CCONJ
alces-101	95	10	water	water	NOUN
alces-101	95	11	were	be	AUX
alces-101	95	12	found	find	VERB
alces-101	95	13	in	in	ADP
alces-101	95	14	100	100	NUM
alces-101	95	15	%	%	NOUN
alces-101	95	16	of	of	ADP
alces-101	95	17	the	the	DET
alces-101	95	18	survey	survey	NOUN
alces-101	95	19	plots	plot	NOUN
alces-101	95	20	examined	examine	VERB
alces-101	95	21	;	;	PUNCT
alces-101	95	22	bog	bog	NOUN
alces-101	95	23	was	be	AUX
alces-101	95	24	found	find	VERB
alces-101	95	25	in	in	ADP
alces-101	95	26	99	99	NUM
alces-101	95	27	%	%	NOUN
alces-101	95	28	and	and	CCONJ
alces-101	95	29	deciduous	deciduous	ADJ
alces-101	95	30	88	88	NUM
alces-101	95	31	%	%	NOUN
alces-101	95	32	of	of	ADP
alces-101	95	33	the	the	DET
alces-101	95	34	plots	plot	NOUN
alces-101	95	35	.	.	PUNCT
alces-101	96	1	both	both	CCONJ
alces-101	96	2	the	the	DET
alces-101	96	3	poisson	poisson	PROPN
alces-101	96	4	regression	regression	NOUN
alces-101	96	5	model	model	NOUN
alces-101	96	6	and	and	CCONJ
alces-101	96	7	the	the	DET
alces-101	96	8	boosted	boosted	ADJ
alces-101	96	9	tree	tree	NOUN
alces-101	96	10	model	model	NOUN
alces-101	96	11	suggested	suggest	VERB
alces-101	96	12	the	the	DET
alces-101	96	13	7	7	NUM
alces-101	96	14	land	land	NOUN
alces-101	96	15	-	-	PUNCT
alces-101	96	16	cover	cover	NOUN
alces-101	96	17	predictors	predictor	NOUN
alces-101	96	18	were	be	AUX
alces-101	96	19	correlated	correlate	VERB
alces-101	96	20	with	with	ADP
alces-101	96	21	observed	observed	ADJ
alces-101	96	22	moose	moose	NOUN
alces-101	96	23	numbers	number	NOUN
alces-101	96	24	.	.	PUNCT
alces-101	97	1	regression	regression	NOUN
alces-101	97	2	coefficients	coefficient	NOUN
alces-101	97	3	in	in	ADP
alces-101	97	4	the	the	DET
alces-101	97	5	poisson	poisson	NOUN
alces-101	97	6	model	model	NOUN
alces-101	97	7	were	be	AUX
alces-101	97	8	all	all	ADV
alces-101	97	9	positive	positive	ADJ
alces-101	97	10	and	and	CCONJ
alces-101	97	11	statistically	statistically	ADV
alces-101	97	12	significant	significant	ADJ
alces-101	97	13	at	at	ADP
alces-101	97	14	the	the	DET
alces-101	97	15	p	p	NOUN
alces-101	97	16	=	=	NOUN
alces-101	97	17	0.01	0.01	NUM
alces-101	97	18	level	level	NOUN
alces-101	97	19	,	,	PUNCT
alces-101	97	20	suggesting	suggest	VERB
alces-101	97	21	moose	moose	NOUN
alces-101	97	22	were	be	AUX
alces-101	97	23	more	more	ADV
alces-101	97	24	likely	likely	ADJ
alces-101	97	25	to	to	PART
alces-101	97	26	be	be	AUX
alces-101	97	27	found	find	VERB
alces-101	97	28	in	in	ADP
alces-101	97	29	plots	plot	NOUN
alces-101	97	30	that	that	PRON
alces-101	97	31	contain	contain	VERB
alces-101	97	32	these	these	DET
alces-101	97	33	7	7	NUM
alces-101	97	34	cover	cover	NOUN
alces-101	97	35	types	type	NOUN
alces-101	97	36	,	,	PUNCT
alces-101	97	37	relative	relative	ADJ
alces-101	97	38	to	to	ADP
alces-101	97	39	those	those	PRON
alces-101	97	40	that	that	PRON
alces-101	97	41	have	have	VERB
alces-101	97	42	more	more	ADJ
alces-101	97	43	“	"	PUNCT
alces-101	97	44	shrub	shrub	NOUN
alces-101	97	45	”	"	PUNCT
alces-101	97	46	or	or	CCONJ
alces-101	97	47	“	"	PUNCT
alces-101	97	48	other	other	ADJ
alces-101	97	49	”	"	PUNCT
alces-101	97	50	(	(	PUNCT
alces-101	97	51	the	the	DET
alces-101	97	52	only	only	ADJ
alces-101	97	53	2	2	NUM
alces-101	97	54	land	land	NOUN
alces-101	97	55	-	-	PUNCT
alces-101	97	56	use	use	NOUN
alces-101	97	57	categories	category	NOUN
alces-101	97	58	not	not	PART
alces-101	97	59	included	include	VERB
alces-101	97	60	in	in	ADP
alces-101	97	61	the	the	DET
alces-101	97	62	model	model	NOUN
alces-101	97	63	)	)	PUNCT
alces-101	97	64	.	.	PUNCT
alces-101	98	1	functional	functional	ADJ
alces-101	98	2	relationships	relationship	NOUN
alces-101	98	3	are	be	AUX
alces-101	98	4	more	more	ADV
alces-101	98	5	difficult	difficult	ADJ
alces-101	98	6	to	to	PART
alces-101	98	7	infer	infer	VERB
alces-101	98	8	with	with	ADP
alces-101	98	9	boosted	boost	VERB
alces-101	98	10	tree	tree	NOUN
alces-101	98	11	models	model	NOUN
alces-101	98	12	,	,	PUNCT
alces-101	98	13	although	although	SCONJ
alces-101	98	14	various	various	ADJ
alces-101	98	15	tools	tool	NOUN
alces-101	98	16	and	and	CCONJ
alces-101	98	17	metrics	metric	NOUN
alces-101	98	18	have	have	AUX
alces-101	98	19	been	be	AUX
alces-101	98	20	developed	develop	VERB
alces-101	98	21	to	to	PART
alces-101	98	22	help	help	VERB
alces-101	98	23	interpret	interpret	VERB
alces-101	98	24	model	model	NOUN
alces-101	98	25	fit	fit	ADJ
alces-101	98	26	and	and	CCONJ
alces-101	98	27	predictor	predictor	NOUN
alces-101	98	28	importance	importance	NOUN
alces-101	98	29	(	(	PUNCT
alces-101	98	30	again	again	ADV
alces-101	98	31	,	,	PUNCT
alces-101	98	32	refer	refer	VERB
alces-101	98	33	to	to	ADP
alces-101	98	34	de’ath	de’ath	NOUN
alces-101	98	35	2007	2007	NUM
alces-101	98	36	and	and	CCONJ
alces-101	98	37	elith	elith	ADP
alces-101	98	38	et	et	PROPN
alces-101	98	39	al	al	PROPN
alces-101	98	40	.	.	PROPN
alces-101	98	41	2008	2008	NUM
alces-101	98	42	for	for	ADP
alces-101	98	43	useful	useful	ADJ
alces-101	98	44	reviews	review	NOUN
alces-101	98	45	)	)	PUNCT
alces-101	98	46	.	.	PUNCT
alces-101	99	1	in	in	ADP
alces-101	99	2	particular	particular	ADJ
alces-101	99	3	,	,	PUNCT
alces-101	99	4	partial	partial	ADJ
alces-101	99	5	dependence	dependence	NOUN
alces-101	99	6	plots	plot	NOUN
alces-101	99	7	can	can	AUX
alces-101	99	8	be	be	AUX
alces-101	99	9	used	use	VERB
alces-101	99	10	to	to	PART
alces-101	99	11	graphically	graphically	ADV
alces-101	99	12	explore	explore	VERB
alces-101	99	13	how	how	SCONJ
alces-101	99	14	predictions	prediction	NOUN
alces-101	99	15	vary	vary	VERB
alces-101	99	16	with	with	ADP
alces-101	99	17	each	each	DET
alces-101	99	18	covariate	covariate	NOUN
alces-101	99	19	(	(	PUNCT
alces-101	99	20	friedman	friedman	PROPN
alces-101	99	21	2001	2001	NUM
alces-101	99	22	)	)	PUNCT
alces-101	99	23	.	.	PUNCT
alces-101	100	1	the	the	DET
alces-101	100	2	partial	partial	ADJ
alces-101	100	3	dependence	dependence	NOUN
alces-101	100	4	plot	plot	NOUN
alces-101	100	5	for	for	ADP
alces-101	100	6	covariate	covariate	NOUN
alces-101	100	7	xi	xi	VERB
alces-101	100	8	is	be	AUX
alces-101	100	9	formed	form	VERB
alces-101	100	10	by	by	ADP
alces-101	100	11	averaging	average	VERB
alces-101	100	12	predictions	prediction	NOUN
alces-101	100	13	across	across	ADP
alces-101	100	14	all	all	DET
alces-101	100	15	observations	observation	NOUN
alces-101	100	16	while	while	SCONJ
alces-101	100	17	holding	hold	VERB
alces-101	100	18	xi	xi	NOUN
alces-101	100	19	constant	constant	ADJ
alces-101	100	20	.	.	PUNCT
alces-101	101	1	these	these	DET
alces-101	101	2	plots	plot	NOUN
alces-101	101	3	indicate	indicate	VERB
alces-101	101	4	fairly	fairly	ADV
alces-101	101	5	linear	linear	ADJ
alces-101	101	6	responses	response	NOUN
alces-101	101	7	(	(	PUNCT
alces-101	101	8	up	up	ADP
alces-101	101	9	to	to	ADP
alces-101	101	10	or	or	CCONJ
alces-101	101	11	down	down	ADV
alces-101	101	12	to	to	ADP
alces-101	101	13	a	a	DET
alces-101	101	14	threshold	threshold	NOUN
alces-101	101	15	)	)	PUNCT
alces-101	101	16	in	in	ADP
alces-101	101	17	relation	relation	NOUN
alces-101	101	18	to	to	ADP
alces-101	101	19	the	the	DET
alces-101	101	20	relative	relative	ADJ
alces-101	101	21	abundance	abundance	NOUN
alces-101	101	22	of	of	ADP
alces-101	101	23	bog	bog	NOUN
alces-101	101	24	,	,	PUNCT
alces-101	101	25	conifer	conifer	NOUN
alces-101	101	26	,	,	PUNCT
alces-101	101	27	mixed	mixed	ADJ
alces-101	101	28	,	,	PUNCT
alces-101	101	29	and	and	CCONJ
alces-101	101	30	disturbed	disturbed	ADJ
alces-101	101	31	cover	cover	NOUN
alces-101	101	32	types	type	NOUN
alces-101	101	33	(	(	PUNCT
alces-101	101	34	fig	fig	NOUN
alces-101	101	35	.	.	PUNCT
alces-101	101	36	2	2	NUM
alces-101	101	37	)	)	PUNCT
alces-101	101	38	;	;	PUNCT
alces-101	101	39	predicted	predict	VERB
alces-101	101	40	moose	moose	NOUN
alces-101	101	41	numbers	number	NOUN
alces-101	101	42	decreased	decrease	VERB
alces-101	101	43	with	with	ADP
alces-101	101	44	increases	increase	NOUN
alces-101	101	45	in	in	ADP
alces-101	101	46	%	%	NOUN
alces-101	101	47	bog	bog	NOUN
alces-101	101	48	and	and	CCONJ
alces-101	101	49	increased	increase	VERB
alces-101	101	50	with	with	ADP
alces-101	101	51	%	%	NOUN
alces-101	101	52	conifer	conifer	NOUN
alces-101	101	53	,	,	PUNCT
alces-101	101	54	%	%	NOUN
alces-101	101	55	mixed	mixed	ADJ
alces-101	101	56	,	,	PUNCT
alces-101	101	57	and	and	CCONJ
alces-101	101	58	%	%	INTJ
alces-101	101	59	disturbed	disturbed	ADJ
alces-101	101	60	.	.	PUNCT
alces-101	102	1	responses	response	NOUN
alces-101	102	2	to	to	ADP
alces-101	102	3	the	the	DET
alces-101	102	4	other	other	ADJ
alces-101	102	5	covariates	covariate	NOUN
alces-101	102	6	were	be	AUX
alces-101	102	7	non	non	ADJ
alces-101	102	8	-	-	ADJ
alces-101	102	9	linear	linear	ADJ
alces-101	102	10	,	,	PUNCT
alces-101	102	11	with	with	ADP
alces-101	102	12	modal	modal	ADJ
alces-101	102	13	responses	response	NOUN
alces-101	102	14	observed	observe	VERB
alces-101	102	15	for	for	ADP
alces-101	102	16	%	%	NOUN
alces-101	102	17	marsh	marsh	ADJ
alces-101	102	18	and	and	CCONJ
alces-101	102	19	%	%	NOUN
alces-101	102	20	water	water	NOUN
alces-101	102	21	.	.	PUNCT
alces-101	103	1	indices	index	NOUN
alces-101	103	2	of	of	ADP
alces-101	103	3	predictor	predictor	NOUN
alces-101	103	4	importance	importance	NOUN
alces-101	103	5	(	(	PUNCT
alces-101	103	6	given	give	VERB
alces-101	103	7	in	in	ADP
alces-101	103	8	the	the	DET
alces-101	103	9	x	x	ADJ
alces-101	103	10	-	-	ADJ
alces-101	103	11	axis	axis	ADJ
alces-101	103	12	labels	label	NOUN
alces-101	103	13	in	in	ADP
alces-101	103	14	fig	fig	NOUN
alces-101	103	15	.	.	PUNCT
alces-101	103	16	2	2	NUM
alces-101	103	17	)	)	PUNCT
alces-101	103	18	were	be	AUX
alces-101	103	19	large	large	ADJ
alces-101	103	20	for	for	ADP
alces-101	103	21	all	all	DET
alces-101	103	22	predictors	predictor	NOUN
alces-101	103	23	,	,	PUNCT
alces-101	103	24	but	but	CCONJ
alces-101	103	25	suggested	suggest	VERB
alces-101	103	26	that	that	SCONJ
alces-101	103	27	%	%	INTJ
alces-101	103	28	bog	bog	NOUN
alces-101	103	29	was	be	AUX
alces-101	103	30	the	the	DET
alces-101	103	31	most	most	ADV
alces-101	103	32	inforstrata	inforstrata	ADJ
alces-101	103	33	formation	formation	NOUN
alces-101	103	34	in	in	ADP
alces-101	103	35	aerial	aerial	ADJ
alces-101	103	36	moose	moose	NOUN
alces-101	103	37	surveys	survey	NOUN
alces-101	103	38	–	–	PUNCT
alces-101	103	39	fieberg	fieberg	NOUN
alces-101	103	40	and	and	CCONJ
alces-101	103	41	lenarz	lenarz	ADJ
alces-101	103	42	alces	alce	NOUN
alces-101	103	43	vol	vol	NOUN
alces-101	103	44	.	.	PROPN
alces-101	103	45	48	48	NUM
alces-101	103	46	,	,	PUNCT
alces-101	103	47	2012	2012	NUM
alces-101	103	48	84	84	NUM
alces-101	103	49	mative	mative	ADJ
alces-101	103	50	predictor	predictor	NOUN
alces-101	103	51	.	.	PUNCT
alces-101	104	1	despite	despite	SCONJ
alces-101	104	2	a	a	DET
alces-101	104	3	few	few	ADJ
alces-101	104	4	outliers	outlier	NOUN
alces-101	104	5	,	,	PUNCT
alces-101	104	6	side	side	NOUN
alces-101	104	7	-	-	PUNCT
alces-101	104	8	by	by	ADP
alces-101	104	9	-	-	PUNCT
alces-101	104	10	side	side	NOUN
alces-101	104	11	box	box	NOUN
alces-101	104	12	plots	plot	NOUN
alces-101	104	13	of	of	ADP
alces-101	104	14	the	the	DET
alces-101	104	15	distribution	distribution	NOUN
alces-101	104	16	of	of	ADP
alces-101	104	17	observed	observed	ADJ
alces-101	104	18	moose	moose	NOUN
alces-101	104	19	in	in	ADP
alces-101	104	20	each	each	DET
alces-101	104	21	stratum	stratum	NOUN
alces-101	104	22	indicated	indicate	VERB
alces-101	104	23	that	that	SCONJ
alces-101	104	24	the	the	DET
alces-101	104	25	current	current	ADJ
alces-101	104	26	expert	expert	NOUN
alces-101	104	27	opinion	opinion	NOUN
alces-101	104	28	process	process	NOUN
alces-101	104	29	has	have	AUX
alces-101	104	30	been	be	AUX
alces-101	104	31	effective	effective	ADJ
alces-101	104	32	at	at	ADP
alces-101	104	33	discriminating	discriminate	VERB
alces-101	104	34	among	among	ADP
alces-101	104	35	sample	sample	NOUN
alces-101	104	36	plots	plot	NOUN
alces-101	104	37	(	(	PUNCT
alces-101	104	38	fig	fig	NOUN
alces-101	104	39	.	.	PUNCT
alces-101	104	40	3a	3a	NUM
alces-101	104	41	)	)	PUNCT
alces-101	104	42	.	.	PUNCT
alces-101	105	1	the	the	DET
alces-101	105	2	boosted	boost	VERB
alces-101	105	3	tree	tree	NOUN
alces-101	105	4	model	model	NOUN
alces-101	105	5	resulted	result	VERB
alces-101	105	6	in	in	ADP
alces-101	105	7	a	a	DET
alces-101	105	8	better	well	ADJ
alces-101	105	9	stratification	stratification	NOUN
alces-101	105	10	scheme	scheme	NOUN
alces-101	105	11	than	than	ADP
alces-101	105	12	the	the	DET
alces-101	105	13	poisson	poisson	PROPN
alces-101	105	14	regression	regression	NOUN
alces-101	105	15	model	model	NOUN
alces-101	105	16	(	(	PUNCT
alces-101	105	17	fig	fig	NOUN
alces-101	105	18	.	.	PUNCT
alces-101	106	1	3d	3d	NUM
alces-101	106	2	,	,	PUNCT
alces-101	106	3	e	e	X
alces-101	106	4	versus	versus	ADP
alces-101	106	5	fig	fig	NOUN
alces-101	106	6	.	.	PUNCT
alces-101	107	1	3b	3b	NUM
alces-101	107	2	,	,	PUNCT
alces-101	107	3	c	c	NOUN
alces-101	107	4	)	)	PUNCT
alces-101	107	5	.	.	PUNCT
alces-101	108	1	further	far	ADV
alces-101	108	2	,	,	PUNCT
alces-101	108	3	when	when	SCONJ
alces-101	108	4	the	the	DET
alces-101	108	5	same	same	ADJ
alces-101	108	6	data	datum	NOUN
alces-101	108	7	were	be	AUX
alces-101	108	8	used	use	VERB
alces-101	108	9	to	to	PART
alces-101	108	10	fit	fit	VERB
alces-101	108	11	and	and	CCONJ
alces-101	108	12	evaluate	evaluate	VERB
alces-101	108	13	the	the	DET
alces-101	108	14	model	model	NOUN
alces-101	108	15	,	,	PUNCT
alces-101	108	16	the	the	DET
alces-101	108	17	boosted	boosted	ADJ
alces-101	108	18	tree	tree	NOUN
alces-101	108	19	approach	approach	NOUN
alces-101	108	20	resulted	result	VERB
alces-101	108	21	in	in	ADP
alces-101	108	22	a	a	DET
alces-101	108	23	smaller	small	ADJ
alces-101	108	24	expected	expect	VERB
alces-101	108	25	se	se	X
alces-101	108	26	than	than	ADP
alces-101	108	27	the	the	DET
alces-101	108	28	current	current	ADJ
alces-101	108	29	stratification	stratification	NOUN
alces-101	108	30	scheme	scheme	NOUN
alces-101	108	31	(	(	PUNCT
alces-101	108	32	264	264	NUM
alces-101	108	33	versus	versus	ADP
alces-101	108	34	289	289	NUM
alces-101	108	35	;	;	PUNCT
alces-101	108	36	fig	fig	NOUN
alces-101	108	37	.	.	PUNCT
alces-101	109	1	3a	3a	NUM
alces-101	109	2	,	,	PUNCT
alces-101	109	3	d	d	NOUN
alces-101	109	4	)	)	PUNCT
alces-101	109	5	.	.	PUNCT
alces-101	110	1	this	this	DET
alces-101	110	2	evaluation	evaluation	NOUN
alces-101	110	3	,	,	PUNCT
alces-101	110	4	however	however	ADV
alces-101	110	5	,	,	PUNCT
alces-101	110	6	assumes	assume	VERB
alces-101	110	7	that	that	SCONJ
alces-101	110	8	residual	residual	ADJ
alces-101	110	9	error	error	NOUN
alces-101	110	10	(	(	PUNCT
alces-101	110	11	i.e.	i.e.	X
alces-101	110	12	,	,	PUNCT
alces-101	110	13	differences	difference	NOUN
alces-101	110	14	between	between	ADP
alces-101	110	15	current	current	ADJ
alces-101	110	16	survey	survey	NOUN
alces-101	110	17	data	datum	NOUN
alces-101	110	18	and	and	CCONJ
alces-101	110	19	predictions	prediction	NOUN
alces-101	110	20	from	from	ADP
alces-101	110	21	models	model	NOUN
alces-101	110	22	fit	fit	ADJ
alces-101	110	23	to	to	ADP
alces-101	110	24	these	these	DET
alces-101	110	25	same	same	ADJ
alces-101	110	26	data	datum	NOUN
alces-101	110	27	)	)	PUNCT
alces-101	110	28	will	will	AUX
alces-101	110	29	provide	provide	VERB
alces-101	110	30	an	an	DET
alces-101	110	31	adequate	adequate	ADJ
alces-101	110	32	approximation	approximation	NOUN
alces-101	110	33	to	to	ADP
alces-101	110	34	prediction	prediction	NOUN
alces-101	110	35	error	error	NOUN
alces-101	110	36	in	in	ADP
alces-101	110	37	future	future	ADJ
alces-101	110	38	surveys	survey	NOUN
alces-101	110	39	.	.	PUNCT
alces-101	111	1	this	this	DET
alces-101	111	2	assumption	assumption	NOUN
alces-101	111	3	might	might	AUX
alces-101	111	4	be	be	AUX
alces-101	111	5	reasonable	reasonable	ADJ
alces-101	111	6	if	if	SCONJ
alces-101	111	7	no	no	DET
alces-101	111	8	new	new	ADJ
alces-101	111	9	plots	plot	NOUN
alces-101	111	10	will	will	AUX
alces-101	111	11	be	be	AUX
alces-101	111	12	sampled	sample	VERB
alces-101	111	13	in	in	ADP
alces-101	111	14	future	future	ADJ
alces-101	111	15	years	year	NOUN
alces-101	111	16	and	and	CCONJ
alces-101	111	17	moose	moose	NOUN
alces-101	111	18	counts	count	NOUN
alces-101	111	19	are	be	AUX
alces-101	111	20	relatively	relatively	ADV
alces-101	111	21	constant	constant	ADJ
alces-101	111	22	over	over	ADP
alces-101	111	23	time	time	NOUN
alces-101	111	24	(	(	PUNCT
alces-101	111	25	within	within	ADP
alces-101	111	26	a	a	DET
alces-101	111	27	plot	plot	NOUN
alces-101	111	28	)	)	PUNCT
alces-101	111	29	.	.	PUNCT
alces-101	112	1	we	we	PRON
alces-101	112	2	examined	examine	VERB
alces-101	112	3	moose	moose	NOUN
alces-101	112	4	counts	count	NOUN
alces-101	112	5	of	of	ADP
alces-101	112	6	52	52	NUM
alces-101	112	7	sample	sample	NOUN
alces-101	112	8	units	unit	NOUN
alces-101	112	9	that	that	PRON
alces-101	112	10	were	be	AUX
alces-101	112	11	surveyed	survey	VERB
alces-101	112	12	multiple	multiple	ADJ
alces-101	112	13	times	time	NOUN
alces-101	112	14	,	,	PUNCT
alces-101	112	15	and	and	CCONJ
alces-101	112	16	although	although	SCONJ
alces-101	112	17	counts	count	NOUN
alces-101	112	18	for	for	ADP
alces-101	112	19	some	some	DET
alces-101	112	20	plots	plot	NOUN
alces-101	112	21	were	be	AUX
alces-101	112	22	relatively	relatively	ADV
alces-101	112	23	constant	constant	ADJ
alces-101	112	24	,	,	PUNCT
alces-101	112	25	others	other	NOUN
alces-101	112	26	exhibited	exhibit	VERB
alces-101	112	27	a	a	DET
alces-101	112	28	high	high	ADJ
alces-101	112	29	degree	degree	NOUN
alces-101	112	30	of	of	ADP
alces-101	112	31	variability	variability	NOUN
alces-101	112	32	(	(	PUNCT
alces-101	112	33	fig	fig	NOUN
alces-101	112	34	.	.	PUNCT
alces-101	112	35	4	4	NUM
alces-101	112	36	)	)	PUNCT
alces-101	112	37	.	.	PUNCT
alces-101	113	1	thus	thus	ADV
alces-101	113	2	,	,	PUNCT
alces-101	113	3	the	the	DET
alces-101	113	4	cross	cross	ADJ
alces-101	113	5	-	-	ADJ
alces-101	113	6	validation	validation	ADJ
alces-101	113	7	approach	approach	NOUN
alces-101	113	8	,	,	PUNCT
alces-101	113	9	which	which	PRON
alces-101	113	10	approximates	approximate	VERB
alces-101	113	11	future	future	ADJ
alces-101	113	12	survey	survey	NOUN
alces-101	113	13	prediction	prediction	NOUN
alces-101	113	14	error	error	NOUN
alces-101	113	15	by	by	ADP
alces-101	113	16	comparing	compare	VERB
alces-101	113	17	model	model	NOUN
alces-101	113	18	predictions	prediction	NOUN
alces-101	113	19	to	to	PART
alces-101	113	20	survey	survey	VERB
alces-101	113	21	data	datum	NOUN
alces-101	113	22	not	not	PART
alces-101	113	23	used	use	VERB
alces-101	113	24	in	in	ADP
alces-101	113	25	the	the	DET
alces-101	113	26	model	model	NOUN
alces-101	113	27	fitting	fitting	ADJ
alces-101	113	28	process	process	NOUN
alces-101	113	29	,	,	PUNCT
alces-101	113	30	should	should	AUX
alces-101	113	31	provide	provide	VERB
alces-101	113	32	a	a	DET
alces-101	113	33	more	more	ADV
alces-101	113	34	accurate	accurate	ADJ
alces-101	113	35	evaluation	evaluation	NOUN
alces-101	113	36	of	of	ADP
alces-101	113	37	future	future	ADJ
alces-101	113	38	performance	performance	NOUN
alces-101	113	39	.	.	PUNCT
alces-101	114	1	the	the	DET
alces-101	114	2	use	use	NOUN
alces-101	114	3	of	of	ADP
alces-101	114	4	out	out	ADV
alces-101	114	5	-	-	PUNCT
alces-101	114	6	of	of	ADP
alces-101	114	7	-	-	PUNCT
alces-101	114	8	sample	sample	NOUN
alces-101	114	9	predictions	prediction	NOUN
alces-101	114	10	(	(	PUNCT
alces-101	114	11	from	from	ADP
alces-101	114	12	cross	cross	ADJ
alces-101	114	13	-	-	ADJ
alces-101	114	14	validation	validation	NOUN
alces-101	114	15	)	)	PUNCT
alces-101	114	16	degraded	degrade	VERB
alces-101	114	17	the	the	DET
alces-101	114	18	performance	performance	NOUN
alces-101	114	19	of	of	ADP
alces-101	114	20	both	both	DET
alces-101	114	21	model	model	NOUN
alces-101	114	22	-	-	PUNCT
alces-101	114	23	based	base	VERB
alces-101	114	24	stratification	stratification	NOUN
alces-101	114	25	schemes	scheme	NOUN
alces-101	114	26	(	(	PUNCT
alces-101	114	27	compare	compare	VERB
alces-101	114	28	fig	fig	NOUN
alces-101	114	29	.	.	PUNCT
alces-101	115	1	3c	3c	NUM
alces-101	115	2	,	,	PUNCT
alces-101	115	3	e	e	NOUN
alces-101	115	4	to	to	PART
alces-101	115	5	fig	fig	NOUN
alces-101	115	6	.	.	PUNCT
alces-101	116	1	3b	3b	NUM
alces-101	116	2	,	,	PUNCT
alces-101	116	3	d	d	NOUN
alces-101	116	4	)	)	PUNCT
alces-101	116	5	,	,	PUNCT
alces-101	116	6	and	and	CCONJ
alces-101	116	7	the	the	DET
alces-101	116	8	expected	expect	VERB
alces-101	116	9	se	se	X
alces-101	116	10	for	for	ADP
alces-101	116	11	the	the	DET
alces-101	116	12	boosted	boost	VERB
alces-101	116	13	regression	regression	NOUN
alces-101	116	14	tree	tree	NOUN
alces-101	116	15	approach	approach	NOUN
alces-101	116	16	(	(	PUNCT
alces-101	116	17	350	350	NUM
alces-101	116	18	)	)	PUNCT
alces-101	116	19	was	be	AUX
alces-101	116	20	no	no	ADV
alces-101	116	21	longer	long	ADV
alces-101	116	22	smaller	small	ADJ
alces-101	116	23	than	than	ADP
alces-101	116	24	the	the	DET
alces-101	116	25	corresponding	correspond	VERB
alces-101	116	26	se	se	PROPN
alces-101	116	27	for	for	ADP
alces-101	116	28	the	the	DET
alces-101	116	29	current	current	ADJ
alces-101	116	30	expert	expert	NOUN
alces-101	116	31	opinion	opinion	NOUN
alces-101	116	32	based	base	VERB
alces-101	116	33	system	system	NOUN
alces-101	116	34	(	(	PUNCT
alces-101	116	35	289	289	NUM
alces-101	116	36	)	)	PUNCT
alces-101	116	37	.	.	PUNCT
alces-101	117	1	thus	thus	ADV
alces-101	117	2	,	,	PUNCT
alces-101	117	3	we	we	PRON
alces-101	117	4	conclude	conclude	VERB
alces-101	117	5	that	that	SCONJ
alces-101	117	6	the	the	DET
alces-101	117	7	boosted	boosted	ADJ
alces-101	117	8	tree	tree	NOUN
alces-101	117	9	approach	approach	NOUN
alces-101	117	10	may	may	AUX
alces-101	117	11	be	be	AUX
alces-101	117	12	competitive	competitive	ADJ
alces-101	117	13	with	with	ADP
alces-101	117	14	(	(	PUNCT
alces-101	117	15	but	but	CCONJ
alces-101	117	16	not	not	PART
alces-101	117	17	a	a	DET
alces-101	117	18	clear	clear	ADJ
alces-101	117	19	improvement	improvement	NOUN
alces-101	117	20	over	over	ADP
alces-101	117	21	)	)	PUNCT
alces-101	117	22	the	the	DET
alces-101	117	23	current	current	ADJ
alces-101	117	24	stratification	stratification	NOUN
alces-101	117	25	scheme	scheme	NOUN
alces-101	117	26	.	.	PUNCT
alces-101	118	1	discussion	discussion	NOUN
alces-101	118	2	the	the	DET
alces-101	118	3	precision	precision	NOUN
alces-101	118	4	of	of	ADP
alces-101	118	5	population	population	NOUN
alces-101	118	6	estimates	estimate	NOUN
alces-101	118	7	obtained	obtain	VERB
alces-101	118	8	from	from	ADP
alces-101	118	9	a	a	DET
alces-101	118	10	stratified	stratified	ADJ
alces-101	118	11	random	random	ADJ
alces-101	118	12	survey	survey	NOUN
alces-101	118	13	will	will	AUX
alces-101	118	14	be	be	AUX
alces-101	118	15	influenced	influence	VERB
alces-101	118	16	by	by	ADP
alces-101	118	17	several	several	ADJ
alces-101	118	18	survey	survey	NOUN
alces-101	118	19	design	design	NOUN
alces-101	118	20	choices	choice	NOUN
alces-101	118	21	,	,	PUNCT
alces-101	118	22	including	include	VERB
alces-101	118	23	the	the	DET
alces-101	118	24	number	number	NOUN
alces-101	118	25	of	of	ADP
alces-101	118	26	strata	strata	NOUN
alces-101	118	27	,	,	PUNCT
alces-101	118	28	choice	choice	NOUN
alces-101	118	29	of	of	ADP
alces-101	118	30	strati	strati	PROPN
alces-101	118	31	0.0	0.0	NUM
alces-101	118	32	0.2	0.2	NUM
alces-101	118	33	0.4	0.4	NUM
alces-101	118	34	0.6	0.6	NUM
alces-101	118	35	0.8	0.8	NUM
alces-101	118	36	-0	-0	PUNCT
alces-101	118	37	.2	.2	NUM
alces-101	118	38	0	0	NUM
alces-101	118	39	.	.	NOUN
alces-101	118	40	0	0	NUM
alces-101	119	1	0	0	NUM
alces-101	119	2	.	.	NOUN
alces-101	120	1	2	2	NUM
alces-101	120	2	0	0	NUM
alces-101	120	3	.	.	NOUN
alces-101	121	1	4	4	NUM
alces-101	121	2	0	0	NUM
alces-101	121	3	.	.	NOUN
alces-101	121	4	6	6	NUM
alces-101	121	5	bog	bog	NOUN
alces-101	121	6	(	(	PUNCT
alces-101	121	7	23.6	23.6	NUM
alces-101	121	8	%	%	NOUN
alces-101	121	9	)	)	PUNCT
alces-101	121	10	fit	fit	ADJ
alces-101	121	11	te	te	PROPN
alces-101	121	12	d	d	PROPN
alces-101	121	13	fu	fu	PROPN
alces-101	121	14	nc	nc	PROPN
alces-101	121	15	tio	tio	PROPN
alces-101	121	16	n	n	ADV
alces-101	121	17	0.0	0.0	NUM
alces-101	121	18	0.2	0.2	NUM
alces-101	121	19	0.4	0.4	NUM
alces-101	121	20	-0	-0	PUNCT
alces-101	121	21	.2	.2	NUM
alces-101	121	22	0	0	NUM
alces-101	121	23	.	.	NOUN
alces-101	121	24	0	0	NUM
alces-101	121	25	0	0	NUM
alces-101	121	26	.	.	NOUN
alces-101	121	27	2	2	NUM
alces-101	121	28	0	0	NUM
alces-101	121	29	.	.	NOUN
alces-101	121	30	4	4	NUM
alces-101	121	31	0	0	NUM
alces-101	121	32	.	.	NOUN
alces-101	121	33	6	6	NUM
alces-101	121	34	disturb	disturb	NOUN
alces-101	121	35	(	(	PUNCT
alces-101	121	36	18.2	18.2	NUM
alces-101	121	37	%	%	NOUN
alces-101	121	38	)	)	PUNCT
alces-101	121	39	fit	fit	ADJ
alces-101	121	40	te	te	PROPN
alces-101	121	41	d	d	PROPN
alces-101	121	42	fu	fu	PROPN
alces-101	121	43	nc	nc	PROPN
alces-101	121	44	tio	tio	PROPN
alces-101	121	45	n	n	ADV
alces-101	121	46	0.00	0.00	NUM
alces-101	121	47	0.04	0.04	NUM
alces-101	121	48	0.08	0.08	NUM
alces-101	121	49	-0	-0	PUNCT
alces-101	121	50	.2	.2	NUM
alces-101	121	51	0	0	NUM
alces-101	121	52	.	.	NOUN
alces-101	121	53	0	0	NUM
alces-101	122	1	0	0	NUM
alces-101	122	2	.	.	NOUN
alces-101	123	1	2	2	NUM
alces-101	123	2	0	0	NUM
alces-101	123	3	.	.	NOUN
alces-101	124	1	4	4	NUM
alces-101	124	2	0	0	NUM
alces-101	124	3	.	.	PROPN
alces-101	124	4	6	6	NUM
alces-101	124	5	marsh	marsh	NOUN
alces-101	124	6	(	(	PUNCT
alces-101	124	7	13.9	13.9	NUM
alces-101	124	8	%	%	NOUN
alces-101	124	9	)	)	PUNCT
alces-101	124	10	fit	fit	ADJ
alces-101	124	11	te	te	PROPN
alces-101	124	12	d	d	PROPN
alces-101	124	13	fu	fu	PROPN
alces-101	124	14	nc	nc	PROPN
alces-101	124	15	tio	tio	PROPN
alces-101	124	16	n	n	ADV
alces-101	124	17	0.0	0.0	NUM
alces-101	124	18	0.2	0.2	NUM
alces-101	124	19	0.4	0.4	NUM
alces-101	124	20	-0	-0	PUNCT
alces-101	124	21	.2	.2	NUM
alces-101	124	22	0	0	NUM
alces-101	124	23	.	.	NOUN
alces-101	124	24	0	0	NUM
alces-101	124	25	0	0	NUM
alces-101	124	26	.	.	NOUN
alces-101	124	27	2	2	NUM
alces-101	124	28	0	0	NUM
alces-101	124	29	.	.	NOUN
alces-101	124	30	4	4	NUM
alces-101	124	31	0	0	NUM
alces-101	124	32	.	.	NOUN
alces-101	124	33	6	6	NUM
alces-101	124	34	water	water	NOUN
alces-101	124	35	(	(	PUNCT
alces-101	124	36	12.5	12.5	NUM
alces-101	124	37	%	%	NOUN
alces-101	124	38	)	)	PUNCT
alces-101	124	39	fit	fit	ADJ
alces-101	124	40	te	te	PROPN
alces-101	124	41	d	d	PROPN
alces-101	124	42	fu	fu	PROPN
alces-101	124	43	nc	nc	PROPN
alces-101	124	44	tio	tio	PROPN
alces-101	124	45	n	n	ADV
alces-101	124	46	0.0	0.0	NUM
alces-101	124	47	0.2	0.2	NUM
alces-101	124	48	0.4	0.4	NUM
alces-101	124	49	0.6	0.6	NUM
alces-101	124	50	-0	-0	PUNCT
alces-101	124	51	.2	.2	NUM
alces-101	124	52	0	0	NUM
alces-101	124	53	.	.	NOUN
alces-101	124	54	0	0	NUM
alces-101	125	1	0	0	NUM
alces-101	125	2	.	.	NOUN
alces-101	126	1	2	2	NUM
alces-101	126	2	0	0	NUM
alces-101	126	3	.	.	NOUN
alces-101	127	1	4	4	NUM
alces-101	127	2	0	0	NUM
alces-101	127	3	.	.	NOUN
alces-101	127	4	6	6	NUM
alces-101	127	5	mixed	mixed	ADJ
alces-101	127	6	(	(	PUNCT
alces-101	127	7	12.2	12.2	NUM
alces-101	127	8	%	%	NOUN
alces-101	127	9	)	)	PUNCT
alces-101	127	10	fit	fit	ADJ
alces-101	127	11	te	te	PROPN
alces-101	127	12	d	d	PROPN
alces-101	127	13	fu	fu	PROPN
alces-101	127	14	nc	nc	PROPN
alces-101	127	15	tio	tio	PROPN
alces-101	128	1	n	n	ADV
alces-101	128	2	0.0	0.0	NUM
alces-101	128	3	0.1	0.1	NUM
alces-101	128	4	0.2	0.2	NUM
alces-101	128	5	0.3	0.3	NUM
alces-101	128	6	-0	-0	PUNCT
alces-101	128	7	.2	.2	NUM
alces-101	128	8	0	0	NUM
alces-101	128	9	.	.	NOUN
alces-101	128	10	0	0	NUM
alces-101	129	1	0	0	NUM
alces-101	129	2	.	.	NOUN
alces-101	130	1	2	2	NUM
alces-101	130	2	0	0	NUM
alces-101	130	3	.	.	NOUN
alces-101	131	1	4	4	NUM
alces-101	131	2	0	0	NUM
alces-101	131	3	.	.	NOUN
alces-101	131	4	6	6	NUM
alces-101	131	5	deciduous	deciduous	ADJ
alces-101	131	6	(	(	PUNCT
alces-101	131	7	11.8	11.8	NUM
alces-101	131	8	%	%	NOUN
alces-101	131	9	)	)	PUNCT
alces-101	131	10	fit	fit	ADJ
alces-101	131	11	te	te	PROPN
alces-101	131	12	d	d	PROPN
alces-101	131	13	fu	fu	PROPN
alces-101	131	14	nc	nc	PROPN
alces-101	131	15	tio	tio	PROPN
alces-101	131	16	n	n	ADV
alces-101	131	17	0.0	0.0	NUM
alces-101	131	18	0.2	0.2	NUM
alces-101	131	19	0.4	0.4	NUM
alces-101	131	20	0.6	0.6	NUM
alces-101	131	21	-0	-0	PUNCT
alces-101	131	22	.2	.2	NUM
alces-101	131	23	0	0	NUM
alces-101	131	24	.	.	NOUN
alces-101	131	25	0	0	NUM
alces-101	132	1	0	0	NUM
alces-101	132	2	.	.	NOUN
alces-101	133	1	2	2	NUM
alces-101	133	2	0	0	NUM
alces-101	133	3	.	.	NOUN
alces-101	134	1	4	4	NUM
alces-101	134	2	0	0	NUM
alces-101	134	3	.	.	NOUN
alces-101	134	4	6	6	NUM
alces-101	134	5	conifer	conifer	NOUN
alces-101	134	6	(	(	PUNCT
alces-101	134	7	7.9	7.9	NUM
alces-101	134	8	%	%	NOUN
alces-101	134	9	)	)	PUNCT
alces-101	134	10	fit	fit	ADJ
alces-101	134	11	te	te	PROPN
alces-101	134	12	d	d	PROPN
alces-101	134	13	fu	fu	PROPN
alces-101	134	14	nc	nc	PROPN
alces-101	134	15	tio	tio	PROPN
alces-101	134	16	n	n	PROPN
alces-101	134	17	effects	effect	NOUN
alces-101	134	18	of	of	ADP
alces-101	134	19	land	land	NOUN
alces-101	134	20	cover	cover	NOUN
alces-101	134	21	data	datum	NOUN
alces-101	134	22	,	,	PUNCT
alces-101	134	23	boosted	boost	VERB
alces-101	134	24	regression	regression	NOUN
alces-101	134	25	tree	tree	NOUN
alces-101	134	26	fig	fig	NOUN
alces-101	134	27	.	.	PUNCT
alces-101	135	1	2	2	X
alces-101	135	2	.	.	X
alces-101	135	3	partial	partial	ADJ
alces-101	135	4	dependency	dependency	NOUN
alces-101	135	5	plots	plot	NOUN
alces-101	135	6	depicting	depict	VERB
alces-101	135	7	marginal	marginal	ADJ
alces-101	135	8	predictor	predictor	NOUN
alces-101	135	9	-	-	PUNCT
alces-101	135	10	response	response	NOUN
alces-101	135	11	relationships	relationship	NOUN
alces-101	135	12	from	from	ADP
alces-101	135	13	the	the	DET
alces-101	135	14	boosted	boosted	ADJ
alces-101	135	15	tree	tree	NOUN
alces-101	135	16	model	model	NOUN
alces-101	135	17	.	.	PUNCT
alces-101	136	1	the	the	DET
alces-101	136	2	partial	partial	ADJ
alces-101	136	3	dependence	dependence	NOUN
alces-101	136	4	plot	plot	NOUN
alces-101	136	5	for	for	ADP
alces-101	136	6	covariate	covariate	NOUN
alces-101	136	7	xi	xi	VERB
alces-101	136	8	is	be	AUX
alces-101	136	9	formed	form	VERB
alces-101	136	10	by	by	ADP
alces-101	136	11	averaging	average	VERB
alces-101	136	12	predictions	prediction	NOUN
alces-101	136	13	across	across	ADP
alces-101	136	14	all	all	DET
alces-101	136	15	observations	observation	NOUN
alces-101	136	16	while	while	SCONJ
alces-101	136	17	holding	hold	VERB
alces-101	136	18	xi	xi	NOUN
alces-101	136	19	constant	constant	ADJ
alces-101	136	20	.	.	PUNCT
alces-101	137	1	tick	tick	NOUN
alces-101	137	2	marks	mark	NOUN
alces-101	137	3	along	along	ADP
alces-101	137	4	the	the	DET
alces-101	137	5	x	x	ADJ
alces-101	137	6	-	-	ADJ
alces-101	137	7	axis	axis	ADJ
alces-101	137	8	depict	depict	NOUN
alces-101	137	9	the	the	DET
alces-101	137	10	distribution	distribution	NOUN
alces-101	137	11	of	of	ADP
alces-101	137	12	observed	observed	ADJ
alces-101	137	13	data	datum	NOUN
alces-101	137	14	.	.	PUNCT
alces-101	138	1	percentages	percentage	NOUN
alces-101	138	2	incorporated	incorporate	VERB
alces-101	138	3	in	in	ADP
alces-101	138	4	the	the	DET
alces-101	138	5	x	x	ADJ
alces-101	138	6	-	-	ADJ
alces-101	138	7	axis	axis	ADJ
alces-101	138	8	labels	label	NOUN
alces-101	138	9	give	give	VERB
alces-101	138	10	predictor	predictor	NOUN
alces-101	138	11	importance	importance	NOUN
alces-101	138	12	measures	measure	NOUN
alces-101	138	13	.	.	PUNCT
alces-101	139	1	alces	alce	NOUN
alces-101	139	2	vol	vol	NOUN
alces-101	139	3	.	.	PROPN
alces-101	140	1	48	48	NUM
alces-101	140	2	,	,	PUNCT
alces-101	140	3	2012	2012	NUM
alces-101	140	4	fieberg	fieberg	NOUN
alces-101	140	5	and	and	CCONJ
alces-101	140	6	lenarz	lenarz	ADJ
alces-101	140	7	–	–	PUNCT
alces-101	140	8	strata	strata	ADJ
alces-101	140	9	formation	formation	NOUN
alces-101	140	10	in	in	ADP
alces-101	140	11	aerial	aerial	ADJ
alces-101	140	12	moose	moose	NOUN
alces-101	140	13	surveys	survey	NOUN
alces-101	140	14	85	85	NUM
alces-101	140	15	fication	fication	NOUN
alces-101	140	16	variables	variable	NOUN
alces-101	140	17	and	and	CCONJ
alces-101	140	18	stratum	stratum	NOUN
alces-101	140	19	boundaries	boundary	NOUN
alces-101	140	20	,	,	PUNCT
alces-101	140	21	and	and	CCONJ
alces-101	140	22	sample	sample	NOUN
alces-101	140	23	allocation	allocation	NOUN
alces-101	140	24	among	among	ADP
alces-101	140	25	strata	strata	NOUN
alces-101	140	26	.	.	PUNCT
alces-101	141	1	we	we	PRON
alces-101	141	2	focused	focus	VERB
alces-101	141	3	here	here	ADV
alces-101	141	4	on	on	ADP
alces-101	141	5	the	the	DET
alces-101	141	6	choice	choice	NOUN
alces-101	141	7	of	of	ADP
alces-101	141	8	stratification	stratification	NOUN
alces-101	141	9	variables	variable	NOUN
alces-101	141	10	and	and	CCONJ
alces-101	141	11	stratum	stratum	NOUN
alces-101	141	12	boundaries	boundary	NOUN
alces-101	141	13	,	,	PUNCT
alces-101	141	14	assuming	assume	VERB
alces-101	141	15	3	3	NUM
alces-101	141	16	strata	strata	NOUN
alces-101	141	17	were	be	AUX
alces-101	141	18	desired	desire	VERB
alces-101	141	19	and	and	CCONJ
alces-101	141	20	that	that	SCONJ
alces-101	141	21	optimal	optimal	ADJ
alces-101	141	22	sampling	sampling	NOUN
alces-101	141	23	formulas	formula	NOUN
alces-101	141	24	would	would	AUX
alces-101	141	25	be	be	AUX
alces-101	141	26	used	use	VERB
alces-101	141	27	to	to	PART
alces-101	141	28	allocate	allocate	VERB
alces-101	141	29	sampling	sample	VERB
alces-101	141	30	effort	effort	NOUN
alces-101	141	31	among	among	ADP
alces-101	141	32	strata	strata	NOUN
alces-101	141	33	.	.	PUNCT
alces-101	142	1	we	we	PRON
alces-101	142	2	followed	follow	VERB
alces-101	142	3	fabrizi	fabrizi	ADJ
alces-101	142	4	and	and	CCONJ
alces-101	142	5	trivisano	trivisano	ADJ
alces-101	142	6	’s	’s	PART
alces-101	142	7	(	(	PUNCT
alces-101	142	8	2007	2007	NUM
alces-101	142	9	)	)	PUNCT
alces-101	142	10	general	general	ADJ
alces-101	142	11	approach	approach	NOUN
alces-101	142	12	to	to	ADP
alces-101	142	13	strata	strata	NOUN
alces-101	142	14	formation	formation	NOUN
alces-101	142	15	,	,	PUNCT
alces-101	142	16	but	but	CCONJ
alces-101	142	17	were	be	AUX
alces-101	142	18	unable	unable	ADJ
alces-101	142	19	to	to	PART
alces-101	142	20	demonstrate	demonstrate	VERB
alces-101	142	21	a	a	DET
alces-101	142	22	clear	clear	ADJ
alces-101	142	23	improvement	improvement	NOUN
alces-101	142	24	over	over	ADP
alces-101	142	25	the	the	DET
alces-101	142	26	current	current	ADJ
alces-101	142	27	stratification	stratification	NOUN
alces-101	142	28	scheme	scheme	NOUN
alces-101	142	29	.	.	PUNCT
alces-101	143	1	this	this	DET
alces-101	143	2	(	(	PUNCT
alces-101	143	3	negative	negative	ADJ
alces-101	143	4	)	)	PUNCT
alces-101	143	5	result	result	NOUN
alces-101	143	6	is	be	AUX
alces-101	143	7	likely	likely	ADJ
alces-101	143	8	due	due	ADJ
alces-101	143	9	,	,	PUNCT
alces-101	143	10	in	in	ADP
alces-101	143	11	part	part	NOUN
alces-101	143	12	,	,	PUNCT
alces-101	143	13	to	to	ADP
alces-101	143	14	the	the	DET
alces-101	143	15	effectiveness	effectiveness	NOUN
alces-101	143	16	of	of	ADP
alces-101	143	17	the	the	DET
alces-101	143	18	current	current	ADJ
alces-101	143	19	stratification	stratification	NOUN
alces-101	143	20	scheme	scheme	NOUN
alces-101	143	21	based	base	VERB
alces-101	143	22	on	on	ADP
alces-101	143	23	expert	expert	ADJ
alces-101	143	24	opinion	opinion	NOUN
alces-101	143	25	(	(	PUNCT
alces-101	143	26	fig	fig	NOUN
alces-101	143	27	.	.	PUNCT
alces-101	143	28	3a	3a	NUM
alces-101	143	29	)	)	PUNCT
alces-101	143	30	,	,	PUNCT
alces-101	143	31	but	but	CCONJ
alces-101	143	32	may	may	AUX
alces-101	143	33	also	also	ADV
alces-101	143	34	reflect	reflect	VERB
alces-101	143	35	the	the	DET
alces-101	143	36	difficulty	difficulty	NOUN
alces-101	143	37	of	of	ADP
alces-101	143	38	predicting	predict	VERB
alces-101	143	39	moose	moose	NOUN
alces-101	143	40	numbers	number	NOUN
alces-101	143	41	from	from	ADP
alces-101	143	42	coarse	coarse	ADJ
alces-101	143	43	-	-	PUNCT
alces-101	143	44	level	level	NOUN
alces-101	143	45	land	land	NOUN
alces-101	143	46	-	-	PUNCT
alces-101	143	47	cover	cover	NOUN
alces-101	143	48	layers	layer	NOUN
alces-101	143	49	developed	develop	VERB
alces-101	143	50	from	from	ADP
alces-101	143	51	remote	remote	ADJ
alces-101	143	52	sensing	sense	VERB
alces-101	143	53	data	datum	NOUN
alces-101	143	54	that	that	PRON
alces-101	143	55	were	be	AUX
alces-101	143	56	acquired	acquire	VERB
alces-101	143	57	several	several	ADJ
alces-101	143	58	years	year	NOUN
alces-101	143	59	prior	prior	ADV
alces-101	143	60	to	to	ADP
alces-101	143	61	the	the	DET
alces-101	143	62	survey	survey	NOUN
alces-101	143	63	.	.	PUNCT
alces-101	144	1	nonetheless	nonetheless	ADV
alces-101	144	2	,	,	PUNCT
alces-101	144	3	the	the	DET
alces-101	144	4	2	2	NUM
alces-101	144	5	-	-	PUNCT
alces-101	144	6	step	step	NOUN
alces-101	144	7	stratification	stratification	NOUN
alces-101	144	8	approach	approach	NOUN
alces-101	144	9	of	of	ADP
alces-101	144	10	fabrizi	fabrizi	PROPN
alces-101	144	11	and	and	CCONJ
alces-101	144	12	trivisano	trivisano	PROPN
alces-101	144	13	(	(	PUNCT
alces-101	144	14	2007	2007	NUM
alces-101	144	15	)	)	PUNCT
alces-101	144	16	may	may	AUX
alces-101	144	17	prove	prove	VERB
alces-101	144	18	useful	useful	ADJ
alces-101	144	19	in	in	ADP
alces-101	144	20	other	other	ADJ
alces-101	144	21	applications	application	NOUN
alces-101	144	22	.	.	PUNCT
alces-101	145	1	the	the	DET
alces-101	145	2	approach	approach	NOUN
alces-101	145	3	is	be	AUX
alces-101	145	4	transparent	transparent	ADJ
alces-101	145	5	,	,	PUNCT
alces-101	145	6	repeatable	repeatable	ADJ
alces-101	145	7	,	,	PUNCT
alces-101	145	8	and	and	CCONJ
alces-101	145	9	easy	easy	ADJ
alces-101	145	10	to	to	PART
alces-101	145	11	apply	apply	VERB
alces-101	145	12	in	in	ADP
alces-101	145	13	practice	practice	NOUN
alces-101	145	14	.	.	PUNCT
alces-101	146	1	although	although	SCONJ
alces-101	146	2	the	the	DET
alces-101	146	3	current	current	ADJ
alces-101	146	4	stratification	stratification	NOUN
alces-101	146	5	scheme	scheme	NOUN
alces-101	146	6	for	for	ADP
alces-101	146	7	minnesota	minnesota	PROPN
alces-101	146	8	’s	’s	PART
alces-101	146	9	aerial	aerial	ADJ
alces-101	146	10	moose	moose	NOUN
alces-101	146	11	survey	survey	NOUN
alces-101	146	12	is	be	AUX
alces-101	146	13	determined	determine	VERB
alces-101	146	14	by	by	ADP
alces-101	146	15	expert	expert	ADJ
alces-101	146	16	opinion	opinion	NOUN
alces-101	146	17	,	,	PUNCT
alces-101	146	18	land	land	NOUN
alces-101	146	19	cover	cover	NOUN
alces-101	146	20	data	datum	NOUN
alces-101	146	21	are	be	AUX
alces-101	146	22	considered	consider	VERB
alces-101	146	23	during	during	ADP
alces-101	146	24	this	this	DET
alces-101	146	25	process	process	NOUN
alces-101	146	26	(	(	PUNCT
alces-101	146	27	albeit	albeit	SCONJ
alces-101	146	28	more	more	ADV
alces-101	146	29	qualitatively	qualitatively	ADV
alces-101	146	30	)	)	PUNCT
alces-101	146	31	.	.	PUNCT
alces-101	147	1	past	past	ADP
alces-101	147	2	survey	survey	NOUN
alces-101	147	3	data	datum	NOUN
alces-101	147	4	and	and	CCONJ
alces-101	147	5	other	other	ADJ
alces-101	147	6	qualitative	qualitative	ADJ
alces-101	147	7	information	information	NOUN
alces-101	147	8	also	also	ADV
alces-101	147	9	play	play	VERB
alces-101	147	10	a	a	DET
alces-101	147	11	role	role	NOUN
alces-101	147	12	,	,	PUNCT
alces-101	147	13	and	and	CCONJ
alces-101	147	14	these	these	DET
alces-101	147	15	additional	additional	ADJ
alces-101	147	16	information	information	NOUN
alces-101	147	17	sources	source	NOUN
alces-101	147	18	can	can	AUX
alces-101	147	19	be	be	AUX
alces-101	147	20	difficult	difficult	ADJ
alces-101	147	21	to	to	PART
alces-101	147	22	incorporate	incorporate	VERB
alces-101	147	23	more	more	ADV
alces-101	147	24	formally	formally	ADV
alces-101	147	25	into	into	ADP
alces-101	147	26	a	a	DET
alces-101	147	27	quantitative	quantitative	ADJ
alces-101	147	28	approach	approach	NOUN
alces-101	147	29	(	(	PUNCT
alces-101	147	30	e.g.	e.g.	ADV
alces-101	147	31	,	,	PUNCT
alces-101	147	32	using	use	VERB
alces-101	147	33	past	past	ADJ
alces-101	147	34	data	datum	NOUN
alces-101	147	35	as	as	ADP
alces-101	147	36	a	a	DET
alces-101	147	37	predictor	predictor	NOUN
alces-101	147	38	would	would	AUX
alces-101	147	39	result	result	VERB
alces-101	147	40	in	in	ADP
alces-101	147	41	much	much	ADJ
alces-101	147	42	missing	missing	ADJ
alces-101	147	43	data	datum	NOUN
alces-101	147	44	)	)	PUNCT
alces-101	147	45	.	.	PUNCT
alces-101	148	1	lastly	lastly	ADV
alces-101	148	2	,	,	PUNCT
alces-101	148	3	we	we	PRON
alces-101	148	4	note	note	VERB
alces-101	148	5	that	that	SCONJ
alces-101	148	6	current	current	ADJ
alces-101	148	7	stratum	stratum	NOUN
alces-101	148	8	assignments	assignment	NOUN
alces-101	148	9	exhibit	exhibit	VERB
alces-101	148	10	a	a	DET
alces-101	148	11	high	high	ADJ
alces-101	148	12	degree	degree	NOUN
alces-101	148	13	of	of	ADP
alces-101	148	14	spatial	spatial	ADJ
alces-101	148	15	correlation	correlation	NOUN
alces-101	148	16	(	(	PUNCT
alces-101	148	17	fig	fig	NOUN
alces-101	148	18	.	.	PUNCT
alces-101	148	19	1	1	NUM
alces-101	148	20	)	)	PUNCT
alces-101	148	21	.	.	PUNCT
alces-101	149	1	in	in	ADP
alces-101	149	2	theory	theory	NOUN
alces-101	149	3	,	,	PUNCT
alces-101	149	4	one	one	PRON
alces-101	149	5	could	could	AUX
alces-101	149	6	incorporate	incorporate	VERB
alces-101	149	7	spatial	spatial	ADJ
alces-101	149	8	predictors	predictor	NOUN
alces-101	149	9	or	or	CCONJ
alces-101	149	10	use	use	VERB
alces-101	149	11	models	model	NOUN
alces-101	149	12	that	that	PRON
alces-101	149	13	allow	allow	VERB
alces-101	149	14	for	for	ADP
alces-101	149	15	spatial	spatial	ADJ
alces-101	149	16	correlation	correlation	NOUN
alces-101	149	17	in	in	ADP
alces-101	149	18	step	step	NOUN
alces-101	149	19	1	1	NUM
alces-101	149	20	of	of	ADP
alces-101	149	21	fabrizi	fabrizi	ADJ
alces-101	149	22	and	and	CCONJ
alces-101	149	23	trivisano	trivisano	ADJ
alces-101	149	24	’s	’s	PART
alces-101	149	25	(	(	PUNCT
alces-101	149	26	2007	2007	NUM
alces-101	149	27	)	)	PUNCT
alces-101	149	28	approach	approach	NOUN
alces-101	149	29	to	to	ADP
alces-101	149	30	forming	form	VERB
alces-101	149	31	strata	strata	NOUN
alces-101	149	32	,	,	PUNCT
alces-101	149	33	but	but	CCONJ
alces-101	149	34	doing	do	VERB
alces-101	149	35	so	so	ADV
alces-101	149	36	would	would	AUX
alces-101	149	37	complicate	complicate	VERB
alces-101	149	38	the	the	DET
alces-101	149	39	analysis	analysis	NOUN
alces-101	149	40	considerably	considerably	ADV
alces-101	149	41	.	.	PUNCT
alces-101	150	1	1	1	NUM
alces-101	150	2	2	2	NUM
alces-101	150	3	3	3	NUM
alces-101	150	4	0	0	NUM
alces-101	150	5	20	20	NUM
alces-101	150	6	40	40	NUM
alces-101	150	7	expert	expert	NOUN
alces-101	150	8	opinion	opinion	NOUN
alces-101	150	9	(	(	PUNCT
alces-101	150	10	se	se	X
alces-101	150	11	=	=	SYM
alces-101	150	12	289	289	NUM
alces-101	150	13	)	)	PUNCT
alces-101	150	14	a	a	X
alces-101	150	15	)	)	PUNCT
alces-101	150	16	1	1	NUM
alces-101	150	17	2	2	NUM
alces-101	150	18	3	3	NUM
alces-101	150	19	0	0	NUM
alces-101	150	20	20	20	NUM
alces-101	150	21	40	40	NUM
alces-101	150	22	poisson	poisson	NOUN
alces-101	150	23	regression	regression	NOUN
alces-101	150	24	(	(	PUNCT
alces-101	150	25	se	se	X
alces-101	150	26	=	=	SYM
alces-101	150	27	354	354	NUM
alces-101	150	28	)	)	PUNCT
alces-101	150	29	b	b	NOUN
alces-101	150	30	)	)	PUNCT
alces-101	150	31	1	1	NUM
alces-101	150	32	2	2	NUM
alces-101	150	33	3	3	NUM
alces-101	150	34	0	0	NUM
alces-101	150	35	20	20	NUM
alces-101	150	36	40	40	NUM
alces-101	150	37	poisson	poisson	NOUN
alces-101	150	38	regression	regression	NOUN
alces-101	150	39	(	(	PUNCT
alces-101	150	40	se	se	X
alces-101	150	41	=	=	SYM
alces-101	150	42	365	365	NUM
alces-101	150	43	)	)	PUNCT
alces-101	150	44	c	c	NOUN
alces-101	150	45	)	)	PUNCT
alces-101	150	46	1	1	NUM
alces-101	150	47	2	2	NUM
alces-101	150	48	3	3	NUM
alces-101	150	49	0	0	NUM
alces-101	150	50	20	20	NUM
alces-101	150	51	40	40	NUM
alces-101	150	52	boosted	boost	VERB
alces-101	150	53	trees	tree	NOUN
alces-101	150	54	(	(	PUNCT
alces-101	150	55	se	se	X
alces-101	150	56	=	=	SYM
alces-101	150	57	264	264	NUM
alces-101	150	58	)	)	PUNCT
alces-101	150	59	d	d	NOUN
alces-101	150	60	)	)	PUNCT
alces-101	150	61	1	1	NUM
alces-101	150	62	2	2	NUM
alces-101	150	63	3	3	NUM
alces-101	150	64	0	0	NUM
alces-101	150	65	20	20	NUM
alces-101	150	66	40	40	NUM
alces-101	150	67	boosted	boost	VERB
alces-101	150	68	trees	tree	NOUN
alces-101	150	69	(	(	PUNCT
alces-101	150	70	se	se	X
alces-101	150	71	=	=	SYM
alces-101	150	72	350	350	NUM
alces-101	150	73	)	)	PUNCT
alces-101	150	74	e	e	NOUN
alces-101	150	75	)	)	PUNCT
alces-101	150	76	to	to	ADP
alces-101	150	77	ta	ta	ADP
alces-101	150	78	l	l	NOUN
alces-101	150	79	m	m	VERB
alces-101	150	80	oo	oo	INTJ
alces-101	150	81	se	se	X
alces-101	150	82	(	(	PUNCT
alces-101	150	83	o	o	NOUN
alces-101	150	84	bs	bs	INTJ
alces-101	150	85	er	er	INTJ
alces-101	150	86	ve	ve	PROPN
alces-101	150	87	d	d	NOUN
alces-101	150	88	)	)	PUNCT
alces-101	150	89	fig	fig	NOUN
alces-101	150	90	.	.	PUNCT
alces-101	151	1	3	3	X
alces-101	151	2	.	.	X
alces-101	151	3	side	side	NOUN
alces-101	151	4	-	-	PUNCT
alces-101	151	5	by	by	ADP
alces-101	151	6	-	-	PUNCT
alces-101	151	7	side	side	NOUN
alces-101	151	8	box	box	NOUN
alces-101	151	9	plots	plot	NOUN
alces-101	151	10	of	of	ADP
alces-101	151	11	total	total	ADJ
alces-101	151	12	moose	moose	NOUN
alces-101	151	13	observed	observe	VERB
alces-101	151	14	in	in	ADP
alces-101	151	15	survey	survey	NOUN
alces-101	151	16	plots	plot	NOUN
alces-101	151	17	by	by	ADP
alces-101	151	18	stratum	stratum	NOUN
alces-101	151	19	in	in	ADP
alces-101	151	20	northeastern	northeastern	ADJ
alces-101	151	21	minnesota	minnesota	PROPN
alces-101	151	22	,	,	PUNCT
alces-101	151	23	usa	usa	PROPN
alces-101	151	24	,	,	PUNCT
alces-101	151	25	2005	2005	NUM
alces-101	151	26	-	-	SYM
alces-101	151	27	2011	2011	NUM
alces-101	151	28	for	for	ADP
alces-101	151	29	:	:	PUNCT
alces-101	151	30	a	a	X
alces-101	151	31	)	)	PUNCT
alces-101	151	32	the	the	DET
alces-101	151	33	current	current	ADJ
alces-101	151	34	expert	expert	NOUN
alces-101	151	35	opinion	opinion	NOUN
alces-101	151	36	based	base	VERB
alces-101	151	37	stratification	stratification	NOUN
alces-101	151	38	scheme	scheme	NOUN
alces-101	151	39	;	;	PUNCT
alces-101	151	40	b	b	X
alces-101	151	41	)	)	PUNCT
alces-101	151	42	the	the	DET
alces-101	151	43	poisson	poisson	PROPN
alces-101	151	44	regression	regression	PROPN
alces-101	151	45	model	model	NOUN
alces-101	151	46	based	base	VERB
alces-101	151	47	stratification	stratification	NOUN
alces-101	151	48	scheme	scheme	NOUN
alces-101	151	49	(	(	PUNCT
alces-101	151	50	using	use	VERB
alces-101	151	51	the	the	DET
alces-101	151	52	same	same	ADJ
alces-101	151	53	data	datum	NOUN
alces-101	151	54	to	to	ADP
alces-101	151	55	fit	fit	ADJ
alces-101	151	56	models	model	NOUN
alces-101	151	57	and	and	CCONJ
alces-101	151	58	determine	determine	VERB
alces-101	151	59	strata	strata	NOUN
alces-101	151	60	)	)	PUNCT
alces-101	151	61	;	;	PUNCT
alces-101	151	62	c	c	X
alces-101	151	63	)	)	PUNCT
alces-101	151	64	the	the	DET
alces-101	151	65	poisson	poisson	PROPN
alces-101	151	66	regression	regression	PROPN
alces-101	151	67	model	model	NOUN
alces-101	151	68	based	base	VERB
alces-101	151	69	stratification	stratification	NOUN
alces-101	151	70	scheme	scheme	NOUN
alces-101	151	71	using	use	VERB
alces-101	151	72	out	out	ADV
alces-101	151	73	-	-	PUNCT
alces-101	151	74	of	of	ADP
alces-101	151	75	-	-	PUNCT
alces-101	151	76	sample	sample	NOUN
alces-101	151	77	predictions	prediction	NOUN
alces-101	151	78	(	(	PUNCT
alces-101	151	79	from	from	ADP
alces-101	151	80	cross	cross	NOUN
alces-101	151	81	validation	validation	NOUN
alces-101	151	82	)	)	PUNCT
alces-101	151	83	;	;	PUNCT
alces-101	151	84	d	d	X
alces-101	151	85	)	)	PUNCT
alces-101	151	86	boosted	boost	VERB
alces-101	151	87	tree	tree	NOUN
alces-101	151	88	stratification	stratification	NOUN
alces-101	151	89	scheme	scheme	NOUN
alces-101	151	90	(	(	PUNCT
alces-101	151	91	using	use	VERB
alces-101	151	92	the	the	DET
alces-101	151	93	same	same	ADJ
alces-101	151	94	data	datum	NOUN
alces-101	151	95	to	to	ADP
alces-101	151	96	fit	fit	ADJ
alces-101	151	97	models	model	NOUN
alces-101	151	98	and	and	CCONJ
alces-101	151	99	determine	determine	VERB
alces-101	151	100	strata	strata	NOUN
alces-101	151	101	)	)	PUNCT
alces-101	151	102	;	;	PUNCT
alces-101	152	1	e	e	X
alces-101	152	2	)	)	PUNCT
alces-101	152	3	boosted	boost	VERB
alces-101	152	4	tree	tree	NOUN
alces-101	152	5	stratification	stratification	NOUN
alces-101	152	6	scheme	scheme	NOUN
alces-101	152	7	using	use	VERB
alces-101	152	8	out	out	ADV
alces-101	152	9	-	-	PUNCT
alces-101	152	10	of	of	ADP
alces-101	152	11	-	-	PUNCT
alces-101	152	12	sample	sample	NOUN
alces-101	152	13	predictions	prediction	NOUN
alces-101	152	14	(	(	PUNCT
alces-101	152	15	from	from	ADP
alces-101	152	16	cross	cross	NOUN
alces-101	152	17	validation	validation	NOUN
alces-101	152	18	)	)	PUNCT
alces-101	152	19	.	.	PUNCT
alces-101	153	1	the	the	DET
alces-101	153	2	x	x	ADJ
alces-101	153	3	-	-	ADJ
alces-101	153	4	axis	axis	ADJ
alces-101	153	5	labels	label	NOUN
alces-101	153	6	give	give	VERB
alces-101	153	7	the	the	DET
alces-101	153	8	expected	expect	VERB
alces-101	153	9	standard	standard	ADJ
alces-101	153	10	error	error	NOUN
alces-101	153	11	associated	associate	VERB
alces-101	153	12	with	with	ADP
alces-101	153	13	an	an	DET
alces-101	153	14	estimate	estimate	NOUN
alces-101	153	15	of	of	ADP
alces-101	153	16	the	the	DET
alces-101	153	17	total	total	ADJ
alces-101	153	18	number	number	NOUN
alces-101	153	19	of	of	ADP
alces-101	153	20	observed	observed	ADJ
alces-101	153	21	moose	moose	NOUN
alces-101	153	22	from	from	ADP
alces-101	153	23	a	a	DET
alces-101	153	24	sample	sample	NOUN
alces-101	153	25	of	of	ADP
alces-101	153	26	40	40	NUM
alces-101	153	27	plots	plot	NOUN
alces-101	153	28	allocated	allocate	VERB
alces-101	153	29	using	use	VERB
alces-101	153	30	optimal	optimal	ADJ
alces-101	153	31	allocation	allocation	NOUN
alces-101	153	32	formula	formula	NOUN
alces-101	153	33	.	.	PUNCT
alces-101	154	1	strata	strata	ADJ
alces-101	154	2	formation	formation	NOUN
alces-101	154	3	in	in	ADP
alces-101	154	4	aerial	aerial	ADJ
alces-101	154	5	moose	moose	NOUN
alces-101	154	6	surveys	survey	NOUN
alces-101	154	7	–	–	PUNCT
alces-101	154	8	fieberg	fieberg	NOUN
alces-101	154	9	and	and	CCONJ
alces-101	154	10	lenarz	lenarz	ADJ
alces-101	154	11	alces	alce	NOUN
alces-101	154	12	vol	vol	NOUN
alces-101	154	13	.	.	PROPN
alces-101	155	1	48	48	NUM
alces-101	155	2	,	,	PUNCT
alces-101	155	3	2012	2012	NUM
alces-101	155	4	86	86	NUM
alces-101	155	5	acknowledgements	acknowledgement	NOUN
alces-101	155	6	the	the	DET
alces-101	155	7	mndnr	mndnr	NOUN
alces-101	155	8	,	,	PUNCT
alces-101	155	9	the	the	DET
alces-101	155	10	fond	fond	ADJ
alces-101	155	11	du	du	PROPN
alces-101	155	12	lac	lac	PROPN
alces-101	155	13	band	band	NOUN
alces-101	155	14	of	of	ADP
alces-101	155	15	lake	lake	PROPN
alces-101	155	16	superior	superior	PROPN
alces-101	155	17	chippewa	chippewa	PROPN
alces-101	155	18	,	,	PUNCT
alces-101	155	19	and	and	CCONJ
alces-101	155	20	the	the	DET
alces-101	155	21	1854	1854	NUM
alces-101	155	22	treaty	treaty	NOUN
alces-101	155	23	authority	authority	NOUN
alces-101	155	24	provided	provide	VERB
alces-101	155	25	funding	funding	NOUN
alces-101	155	26	and	and	CCONJ
alces-101	155	27	field	field	NOUN
alces-101	155	28	support	support	NOUN
alces-101	155	29	for	for	ADP
alces-101	155	30	the	the	DET
alces-101	155	31	aerial	aerial	ADJ
alces-101	155	32	moose	moose	NOUN
alces-101	155	33	surveys	survey	NOUN
alces-101	155	34	.	.	PUNCT
alces-101	156	1	mndnr	mndnr	VERB
alces-101	156	2	wildlife	wildlife	NOUN
alces-101	156	3	gis	gis	PROPN
alces-101	156	4	specialist	specialist	PROPN
alces-101	156	5	r.	r.	PROPN
alces-101	156	6	wright	wright	PROPN
alces-101	156	7	prepared	prepare	VERB
alces-101	156	8	the	the	DET
alces-101	156	9	cover	cover	NOUN
alces-101	156	10	type	type	NOUN
alces-101	156	11	layer	layer	NOUN
alces-101	156	12	.	.	PUNCT
alces-101	157	1	we	we	PRON
alces-101	157	2	thank	thank	VERB
alces-101	157	3	j.	j.	PROPN
alces-101	157	4	giudice	giudice	PROPN
alces-101	157	5	for	for	ADP
alces-101	157	6	helpful	helpful	ADJ
alces-101	157	7	comments	comment	NOUN
alces-101	157	8	on	on	ADP
alces-101	157	9	an	an	DET
alces-101	157	10	earlier	early	ADJ
alces-101	157	11	draft	draft	NOUN
alces-101	157	12	.	.	PUNCT
alces-101	158	1	references	reference	NOUN
alces-101	158	2	anderson	anderson	PROPN
alces-101	158	3	,	,	PUNCT
alces-101	158	4	c.	c.	PROPN
alces-101	158	5	r.	r.	PROPN
alces-101	158	6	,	,	PUNCT
alces-101	158	7	and	and	CCONJ
alces-101	158	8	f.	f.	PROPN
alces-101	158	9	g.	g.	PROPN
alces-101	158	10	lindzey	lindzey	PROPN
alces-101	158	11	.	.	PUNCT
alces-101	159	1	1996	1996	NUM
alces-101	159	2	.	.	PUNCT
alces-101	160	1	moose	moose	PROPN
alces-101	160	2	sightability	sightability	PROPN
alces-101	160	3	model	model	NOUN
alces-101	160	4	developed	develop	VERB
alces-101	160	5	for	for	ADP
alces-101	160	6	helicopter	helicopter	NOUN
alces-101	160	7	surveys	survey	NOUN
alces-101	160	8	.	.	PUNCT
alces-101	161	1	wildlife	wildlife	NOUN
alces-101	161	2	society	society	NOUN
alces-101	161	3	bulletin	bulletin	NOUN
alces-101	161	4	24	24	NUM
alces-101	161	5	:	:	SYM
alces-101	161	6	247	247	NUM
alces-101	161	7	-	-	SYM
alces-101	161	8	259	259	NUM
alces-101	161	9	.	.	PUNCT
alces-101	162	1	baillargeon	baillargeon	PROPN
alces-101	162	2	,	,	PUNCT
alces-101	162	3	s.	s.	PROPN
alces-101	162	4	,	,	PUNCT
alces-101	162	5	and	and	CCONJ
alces-101	162	6	l	l	X
alces-101	162	7	-	-	PROPN
alces-101	162	8	p.	p.	NOUN
alces-101	162	9	rivest	riv	ADJ
alces-101	162	10	.	.	PUNCT
alces-101	163	1	2011	2011	NUM
alces-101	163	2	.	.	PUNCT
alces-101	164	1	stratification	stratification	NOUN
alces-101	164	2	:	:	PUNCT
alces-101	164	3	univariate	univariate	ADJ
alces-101	164	4	stratification	stratification	NOUN
alces-101	164	5	of	of	ADP
alces-101	164	6	survey	survey	NOUN
alces-101	164	7	populations	population	NOUN
alces-101	164	8	.	.	PUNCT
alces-101	165	1	r	r	NOUN
alces-101	165	2	package	package	NOUN
alces-101	165	3	version	version	NOUN
alces-101	165	4	2.0	2.0	NUM
alces-101	165	5	-	-	SYM
alces-101	165	6	3	3	NUM
alces-101	165	7	.	.	PUNCT
alces-101	166	1	<	<	X
alces-101	166	2	http://cran.r	http://cran.r	NOUN
alces-101	166	3	-	-	PUNCT
alces-101	166	4	project	project	NOUN
alces-101	166	5	.	.	PUNCT
alces-101	167	1	org	org	ADJ
alces-101	167	2	/	/	SYM
alces-101	167	3	package	package	NOUN
alces-101	167	4	=	=	NOUN
alces-101	167	5	stratification	stratification	NOUN
alces-101	167	6	>	>	X
alces-101	167	7	(	(	PUNCT
alces-101	167	8	accessed	access	VERB
alces-101	167	9	august	august	PROPN
alces-101	167	10	2011	2011	NUM
alces-101	167	11	)	)	PUNCT
alces-101	167	12	.	.	PUNCT
alces-101	168	1	cochran	cochran	PROPN
alces-101	168	2	,	,	PUNCT
alces-101	168	3	w.	w.	PROPN
alces-101	168	4	g.	g.	PROPN
alces-101	168	5	1977	1977	NUM
alces-101	168	6	.	.	PUNCT
alces-101	169	1	sampling	sample	VERB
alces-101	169	2	techniques	technique	NOUN
alces-101	169	3	.	.	PUNCT
alces-101	170	1	john	john	PROPN
alces-101	170	2	wiley	wiley	PROPN
alces-101	170	3	and	and	CCONJ
alces-101	170	4	sons	son	NOUN
alces-101	170	5	,	,	PUNCT
alces-101	170	6	new	new	PROPN
alces-101	170	7	york	york	PROPN
alces-101	170	8	,	,	PUNCT
alces-101	170	9	new	new	PROPN
alces-101	170	10	york	york	PROPN
alces-101	170	11	,	,	PUNCT
alces-101	170	12	usa	usa	PROPN
alces-101	170	13	.	.	PROPN
alces-101	170	14	dalenius	dalenius	PROPN
alces-101	170	15	,	,	PUNCT
alces-101	170	16	t.	t.	PROPN
alces-101	170	17	,	,	PUNCT
alces-101	170	18	and	and	CCONJ
alces-101	170	19	j.	j.	PROPN
alces-101	170	20	l.	l.	PROPN
alces-101	170	21	hodges	hodges	PROPN
alces-101	170	22	.	.	PUNCT
alces-101	170	23	,	,	PUNCT
alces-101	170	24	jr	jr	PROPN
alces-101	170	25	.	.	PROPN
alces-101	170	26	1959	1959	NUM
alces-101	170	27	.	.	PUNCT
alces-101	171	1	minimum	minimum	ADJ
alces-101	171	2	variance	variance	NOUN
alces-101	171	3	stratification	stratification	NOUN
alces-101	171	4	.	.	PUNCT
alces-101	172	1	journal	journal	NOUN
alces-101	172	2	of	of	ADP
alces-101	172	3	the	the	DET
alces-101	172	4	american	american	PROPN
alces-101	172	5	statistical	statistical	ADJ
alces-101	172	6	association	association	NOUN
alces-101	172	7	54	54	NUM
alces-101	172	8	:	:	SYM
alces-101	172	9	88	88	NUM
alces-101	172	10	-	-	SYM
alces-101	172	11	101	101	NUM
alces-101	172	12	.	.	PUNCT
alces-101	173	1	de’ath	de’ath	PROPN
alces-101	173	2	,	,	PUNCT
alces-101	173	3	g.	g.	PROPN
alces-101	173	4	2007	2007	NUM
alces-101	173	5	.	.	PUNCT
alces-101	174	1	boosted	boost	VERB
alces-101	174	2	trees	tree	NOUN
alces-101	174	3	for	for	ADP
alces-101	174	4	ecological	ecological	ADJ
alces-101	174	5	modeling	modeling	NOUN
alces-101	174	6	and	and	CCONJ
alces-101	174	7	prediction	prediction	NOUN
alces-101	174	8	.	.	PUNCT
alces-101	175	1	ecology	ecology	NOUN
alces-101	175	2	88	88	NUM
alces-101	175	3	:	:	PUNCT
alces-101	175	4	243	243	NUM
alces-101	175	5	-	-	SYM
alces-101	175	6	251	251	NUM
alces-101	175	7	.	.	PUNCT
alces-101	176	1	elith	elith	NOUN
alces-101	176	2	,	,	PUNCT
alces-101	176	3	j.	j.	PROPN
alces-101	176	4	,	,	PUNCT
alces-101	176	5	j.	j.	PROPN
alces-101	176	6	r.	r.	PROPN
alces-101	176	7	leathwick	leathwick	PROPN
alces-101	176	8	,	,	PUNCT
alces-101	176	9	and	and	CCONJ
alces-101	176	10	t.	t.	PROPN
alces-101	176	11	hastie	hastie	PROPN
alces-101	176	12	.	.	PUNCT
alces-101	177	1	2008	2008	NUM
alces-101	177	2	.	.	PUNCT
alces-101	178	1	a	a	DET
alces-101	178	2	working	work	VERB
alces-101	178	3	guide	guide	NOUN
alces-101	178	4	to	to	PART
alces-101	178	5	boosted	boost	VERB
alces-101	178	6	regression	regression	NOUN
alces-101	178	7	trees	tree	NOUN
alces-101	178	8	.	.	PUNCT
alces-101	179	1	journal	journal	PROPN
alces-101	179	2	of	of	ADP
alces-101	179	3	animal	animal	NOUN
alces-101	179	4	ecology	ecology	NOUN
alces-101	179	5	77	77	NUM
alces-101	179	6	:	:	PUNCT
alces-101	179	7	802	802	NUM
alces-101	179	8	-	-	SYM
alces-101	179	9	813	813	NUM
alces-101	179	10	.	.	PUNCT
alces-101	180	1	fabrizi	fabrizi	PROPN
alces-101	180	2	,	,	PUNCT
alces-101	180	3	e.	e.	PROPN
alces-101	180	4	,	,	PUNCT
alces-101	180	5	and	and	CCONJ
alces-101	180	6	c.	c.	PROPN
alces-101	180	7	trivisano	trivisano	PROPN
alces-101	180	8	.	.	PUNCT
alces-101	181	1	2007	2007	NUM
alces-101	181	2	.	.	PUNCT
alces-101	182	1	efficient	efficient	ADJ
alces-101	182	2	stratification	stratification	NOUN
alces-101	182	3	based	base	VERB
alces-101	182	4	on	on	ADP
alces-101	182	5	nonparametric	nonparametric	NOUN
alces-101	182	6	regression	regression	NOUN
alces-101	182	7	methods	method	NOUN
alces-101	182	8	.	.	PUNCT
alces-101	183	1	journal	journal	PROPN
alces-101	183	2	of	of	ADP
alces-101	183	3	official	official	ADJ
alces-101	183	4	statistics	statistic	NOUN
alces-101	183	5	23	23	NUM
alces-101	183	6	:	:	PUNCT
alces-101	183	7	35	35	NUM
alces-101	183	8	-	-	SYM
alces-101	183	9	50	50	NUM
alces-101	183	10	.	.	PUNCT
alces-101	184	1	fites	fite	NOUN
alces-101	184	2	,	,	PUNCT
alces-101	184	3	j.	j.	PROPN
alces-101	184	4	a.	a.	PROPN
alces-101	184	5	,	,	PUNCT
alces-101	184	6	a.	a.	NOUN
alces-101	184	7	reiner	reiner	NOUN
alces-101	184	8	,	,	PUNCT
alces-101	184	9	m.	m.	NOUN
alces-101	184	10	campbell	campbell	PROPN
alces-101	184	11	,	,	PUNCT
alces-101	184	12	and	and	CCONJ
alces-101	184	13	z.	z.	PROPN
alces-101	184	14	taylor	taylor	PROPN
alces-101	184	15	.	.	PROPN
alces-101	185	1	2007	2007	NUM
alces-101	185	2	.	.	PUNCT
alces-101	186	1	fire	fire	NOUN
alces-101	186	2	behavior	behavior	NOUN
alces-101	186	3	and	and	CCONJ
alces-101	186	4	effects	effect	NOUN
alces-101	186	5	,	,	PUNCT
alces-101	186	6	suppression	suppression	NOUN
alces-101	186	7	,	,	PUNCT
alces-101	186	8	and	and	CCONJ
alces-101	186	9	fuel	fuel	NOUN
alces-101	186	10	treatments	treatment	NOUN
alces-101	186	11	on	on	ADP
alces-101	186	12	the	the	DET
alces-101	186	13	ham	ham	PROPN
alces-101	186	14	lake	lake	NOUN
alces-101	186	15	and	and	CCONJ
alces-101	186	16	cavity	cavity	NOUN
alces-101	186	17	lake	lake	NOUN
alces-101	186	18	fires	fire	NOUN
alces-101	186	19	.	.	PUNCT
alces-101	187	1	usda	usda	PROPN
alces-101	187	2	forest	forest	PROPN
alces-101	187	3	service	service	PROPN
alces-101	187	4	,	,	PUNCT
alces-101	187	5	superior	superior	ADJ
alces-101	187	6	national	national	ADJ
alces-101	187	7	forest	forest	NOUN
alces-101	187	8	,	,	PUNCT
alces-101	187	9	eastern	eastern	ADJ
alces-101	187	10	region	region	NOUN
alces-101	187	11	,	,	PUNCT
alces-101	187	12	milwaukee	milwaukee	PROPN
alces-101	187	13	,	,	PUNCT
alces-101	187	14	wisconsin	wisconsin	PROPN
alces-101	187	15	,	,	PUNCT
alces-101	187	16	usa	usa	PROPN
alces-101	187	17	.	.	PROPN
alces-101	188	1	<	<	X
alces-101	188	2	http://www.fs.fed	http://www.fs.fed	PROPN
alces-101	188	3	.	.	PUNCT
alces-101	189	1	us	we	PRON
alces-101	189	2	/	/	SYM
alces-101	189	3	adaptivemanagement	adaptivemanagement	ADJ
alces-101	189	4	/	/	SYM
alces-101	189	5	projects	project	NOUN
alces-101	189	6	/	/	SYM
alces-101	189	7	fbat/	fbat/	NUM
alces-101	189	8	docs	doc	NOUN
alces-101	189	9	/	/	SYM
alces-101	189	10	hamlake07_22_08.pdf	hamlake07_22_08.pdf	NOUN
alces-101	189	11	>	>	X
alces-101	189	12	(	(	PUNCT
alces-101	189	13	accessed	access	VERB
alces-101	189	14	july	july	PROPN
alces-101	189	15	2011	2011	NUM
alces-101	189	16	)	)	PUNCT
alces-101	189	17	.	.	PUNCT
alces-101	190	1	friedman	friedman	PROPN
alces-101	190	2	,	,	PUNCT
alces-101	190	3	j.	j.	PROPN
alces-101	190	4	h.	h.	PROPN
alces-101	190	5	2001	2001	NUM
alces-101	190	6	.	.	PUNCT
alces-101	191	1	greedy	greedy	ADJ
alces-101	191	2	function	function	NOUN
alces-101	191	3	approximation	approximation	NOUN
alces-101	191	4	:	:	PUNCT
alces-101	191	5	a	a	DET
alces-101	191	6	gradient	gradient	ADJ
alces-101	191	7	boosting	boost	VERB
alces-101	191	8	machine	machine	NOUN
alces-101	191	9	.	.	PUNCT
alces-101	192	1	annals	annal	NOUN
alces-101	192	2	of	of	ADP
alces-101	192	3	statistics	statistic	NOUN
alces-101	192	4	29	29	NUM
alces-101	192	5	:	:	PUNCT
alces-101	192	6	1189	1189	NUM
alces-101	192	7	-	-	SYM
alces-101	192	8	1232	1232	NUM
alces-101	192	9	.	.	PUNCT
alces-101	193	1	gasaway	gasaway	PROPN
alces-101	193	2	,	,	PUNCT
alces-101	193	3	w.	w.	PROPN
alces-101	193	4	c.	c.	PROPN
alces-101	193	5	,	,	PUNCT
alces-101	193	6	s.	s.	PROPN
alces-101	193	7	d.	d.	PROPN
alces-101	193	8	dubois	dubois	PROPN
alces-101	193	9	,	,	PUNCT
alces-101	193	10	d.	d.	PROPN
alces-101	193	11	j.	j.	PROPN
alces-101	193	12	reed	reed	PROPN
alces-101	193	13	,	,	PUNCT
alces-101	193	14	and	and	CCONJ
alces-101	193	15	s.	s.	PROPN
alces-101	193	16	j.	j.	PROPN
alces-101	193	17	harbo	harbo	PROPN
alces-101	193	18	.	.	PUNCT
alces-101	194	1	1986	1986	NUM
alces-101	194	2	.	.	PUNCT
alces-101	195	1	estimating	estimate	VERB
alces-101	195	2	moose	moose	NOUN
alces-101	195	3	population	population	NOUN
alces-101	195	4	parameters	parameter	NOUN
alces-101	195	5	from	from	ADP
alces-101	195	6	aerial	aerial	ADJ
alces-101	195	7	surveys	survey	NOUN
alces-101	195	8	.	.	PUNCT
alces-101	196	1	biological	biological	ADJ
alces-101	196	2	papers	paper	NOUN
alces-101	196	3	of	of	ADP
alces-101	196	4	the	the	DET
alces-101	196	5	university	university	PROPN
alces-101	196	6	of	of	ADP
alces-101	196	7	alaska	alaska	PROPN
alces-101	196	8	,	,	PUNCT
alces-101	196	9	no	no	INTJ
alces-101	196	10	.	.	NOUN
alces-101	196	11	22	22	NUM
alces-101	196	12	.	.	PUNCT
alces-101	197	1	fairbanks	fairbanks	PROPN
alces-101	197	2	,	,	PUNCT
alces-101	197	3	alaska	alaska	PROPN
alces-101	197	4	,	,	PUNCT
alces-101	197	5	usa	usa	PROPN
alces-101	197	6	.	.	PROPN
alces-101	197	7	giudice	giudice	PROPN
alces-101	197	8	,	,	PUNCT
alces-101	197	9	j.	j.	PROPN
alces-101	197	10	h.	h.	PROPN
alces-101	197	11	,	,	PUNCT
alces-101	197	12	j.	j.	PROPN
alces-101	197	13	r.	r.	PROPN
alces-101	197	14	fieberg	fieberg	PROPN
alces-101	197	15	,	,	PUNCT
alces-101	197	16	and	and	CCONJ
alces-101	197	17	m.	m.	PROPN
alces-101	197	18	s.	s.	PROPN
alces-101	197	19	lenarz	lenarz	PROPN
alces-101	197	20	.	.	PROPN
alces-101	197	21	2012	2012	NUM
alces-101	197	22	.	.	PUNCT
alces-101	198	1	spending	spending	NOUN
alces-101	198	2	degrees	degree	NOUN
alces-101	198	3	of	of	ADP
alces-101	198	4	freedom	freedom	NOUN
alces-101	198	5	in	in	ADP
alces-101	198	6	a	a	DET
alces-101	198	7	plot	plot	NOUN
alces-101	198	8	i	i	NOUN
alces-101	199	1	d	d	X
alces-101	199	2	to	to	ADP
alces-101	199	3	ta	ta	ADP
alces-101	199	4	l	l	NOUN
alces-101	199	5	m	m	VERB
alces-101	199	6	oo	oo	INTJ
alces-101	199	7	se	se	INTJ
alces-101	199	8	o	o	NOUN
alces-101	200	1	bs	bs	INTJ
alces-101	200	2	er	er	INTJ
alces-101	200	3	ve	ve	VERB
alces-101	200	4	d	d	NOUN
alces-101	200	5	0	0	NUM
alces-101	200	6	10	10	NUM
alces-101	200	7	20	20	NUM
alces-101	200	8	30	30	NUM
alces-101	200	9	40	40	NUM
alces-101	200	10	1	1	NUM
alces-101	200	11	2	2	NUM
alces-101	200	12	3	3	NUM
alces-101	200	13	4	4	NUM
alces-101	200	14	5	5	NUM
alces-101	200	15	6	6	NUM
alces-101	200	16	7	7	NUM
alces-101	200	17	8	8	NUM
alces-101	200	18	9	9	NUM
alces-101	200	19	10	10	NUM
alces-101	200	20	11	11	NUM
alces-101	200	21	12	12	NUM
alces-101	200	22	13	13	NUM
alces-101	200	23	1415	1415	NUM
alces-101	200	24	16	16	NUM
alces-101	200	25	17	17	NUM
alces-101	200	26	18	18	NUM
alces-101	200	27	19	19	NUM
alces-101	200	28	20	20	NUM
alces-101	200	29	21	21	NUM
alces-101	200	30	2223	2223	NUM
alces-101	200	31	24	24	NUM
alces-101	200	32	25	25	NUM
alces-101	200	33	26	26	NUM
alces-101	200	34	27	27	NUM
alces-101	200	35	28	28	NUM
alces-101	200	36	29	29	NUM
alces-101	200	37	3031	3031	NUM
alces-101	200	38	32	32	NUM
alces-101	200	39	33	33	NUM
alces-101	200	40	34	34	NUM
alces-101	200	41	35	35	NUM
alces-101	200	42	36	36	NUM
alces-101	200	43	37	37	NUM
alces-101	200	44	3839	3839	NUM
alces-101	200	45	40	40	NUM
alces-101	200	46	41	41	NUM
alces-101	200	47	42	42	NUM
alces-101	200	48	43	43	NUM
alces-101	200	49	44	44	NUM
alces-101	200	50	45	45	NUM
alces-101	200	51	46	46	NUM
alces-101	200	52	4748	4748	NUM
alces-101	200	53	49	49	NUM
alces-101	200	54	50	50	NUM
alces-101	200	55	51	51	NUM
alces-101	200	56	52	52	NUM
alces-101	200	57	fig	fig	NOUN
alces-101	200	58	.	.	PUNCT
alces-101	201	1	4	4	X
alces-101	201	2	.	.	X
alces-101	201	3	total	total	ADJ
alces-101	201	4	moose	moose	NOUN
alces-101	201	5	observed	observe	VERB
alces-101	201	6	for	for	ADP
alces-101	201	7	plots	plot	NOUN
alces-101	201	8	that	that	PRON
alces-101	201	9	were	be	AUX
alces-101	201	10	sampled	sample	VERB
alces-101	201	11	more	more	ADV
alces-101	201	12	than	than	ADP
alces-101	201	13	once	once	ADV
alces-101	201	14	between	between	ADP
alces-101	201	15	2005	2005	NUM
alces-101	201	16	and	and	CCONJ
alces-101	201	17	2010	2010	NUM
alces-101	201	18	.	.	PUNCT
alces-101	202	1	each	each	DET
alces-101	202	2	vertical	vertical	ADJ
alces-101	202	3	line	line	NOUN
alces-101	202	4	corresponds	correspond	VERB
alces-101	202	5	to	to	ADP
alces-101	202	6	a	a	DET
alces-101	202	7	different	different	ADJ
alces-101	202	8	sample	sample	NOUN
alces-101	202	9	plot	plot	NOUN
alces-101	202	10	.	.	PUNCT
alces-101	203	1	observations	observation	NOUN
alces-101	203	2	have	have	AUX
alces-101	203	3	been	be	AUX
alces-101	203	4	jittered	jittere	VERB
alces-101	203	5	slightly	slightly	ADV
alces-101	203	6	to	to	PART
alces-101	203	7	allow	allow	VERB
alces-101	203	8	viewing	viewing	NOUN
alces-101	203	9	of	of	ADP
alces-101	203	10	multiple	multiple	ADJ
alces-101	203	11	observations	observation	NOUN
alces-101	203	12	with	with	ADP
alces-101	203	13	the	the	DET
alces-101	203	14	same	same	ADJ
alces-101	203	15	value	value	NOUN
alces-101	203	16	(	(	PUNCT
alces-101	203	17	e.g.	e.g.	ADV
alces-101	203	18	,	,	PUNCT
alces-101	203	19	two	two	NUM
alces-101	203	20	observations	observation	NOUN
alces-101	203	21	of	of	ADP
alces-101	203	22	0	0	NUM
alces-101	203	23	moose	moose	NOUN
alces-101	203	24	)	)	PUNCT
alces-101	203	25	.	.	PUNCT
alces-101	204	1	alces	alce	NOUN
alces-101	204	2	vol	vol	NOUN
alces-101	204	3	.	.	PROPN
alces-101	205	1	48	48	NUM
alces-101	205	2	,	,	PUNCT
alces-101	205	3	2012	2012	NUM
alces-101	205	4	fieberg	fieberg	NOUN
alces-101	205	5	and	and	CCONJ
alces-101	205	6	lenarz	lenarz	ADJ
alces-101	205	7	–	–	PUNCT
alces-101	205	8	strata	strata	ADJ
alces-101	205	9	formation	formation	NOUN
alces-101	205	10	in	in	ADP
alces-101	205	11	aerial	aerial	ADJ
alces-101	205	12	moose	moose	NOUN
alces-101	205	13	surveys	survey	NOUN
alces-101	205	14	87	87	NUM
alces-101	205	15	poor	poor	ADJ
alces-101	205	16	economy	economy	NOUN
alces-101	205	17	:	:	PUNCT
alces-101	205	18	a	a	DET
alces-101	205	19	case	case	NOUN
alces-101	205	20	study	study	NOUN
alces-101	205	21	of	of	ADP
alces-101	205	22	building	build	VERB
alces-101	205	23	a	a	DET
alces-101	205	24	sightability	sightability	NOUN
alces-101	205	25	model	model	NOUN
alces-101	205	26	for	for	ADP
alces-101	205	27	moose	moose	NOUN
alces-101	205	28	in	in	ADP
alces-101	205	29	northeastern	northeastern	ADJ
alces-101	205	30	minnesota	minnesota	PROPN
alces-101	205	31	.	.	PUNCT
alces-101	206	1	journal	journal	PROPN
alces-101	206	2	of	of	ADP
alces-101	206	3	wildlife	wildlife	NOUN
alces-101	206	4	management	management	NOUN
alces-101	206	5	76	76	NUM
alces-101	206	6	:	:	PUNCT
alces-101	206	7	75	75	NUM
alces-101	206	8	-	-	SYM
alces-101	206	9	87	87	NUM
alces-101	206	10	.	.	PUNCT
alces-101	207	1	heinselman	heinselman	NOUN
alces-101	207	2	,	,	PUNCT
alces-101	207	3	m.	m.	NOUN
alces-101	207	4	1996	1996	NUM
alces-101	207	5	.	.	PUNCT
alces-101	208	1	the	the	DET
alces-101	208	2	boundary	boundary	ADJ
alces-101	208	3	waters	water	NOUN
alces-101	208	4	wilderness	wilderness	VERB
alces-101	208	5	ecosystem	ecosystem	NOUN
alces-101	208	6	.	.	PUNCT
alces-101	209	1	university	university	PROPN
alces-101	209	2	of	of	ADP
alces-101	209	3	minnesota	minnesota	PROPN
alces-101	209	4	press	press	PROPN
alces-101	209	5	,	,	PUNCT
alces-101	209	6	minneapolis	minneapolis	PROPN
alces-101	209	7	,	,	PUNCT
alces-101	209	8	minnesota	minnesota	PROPN
alces-101	209	9	,	,	PUNCT
alces-101	209	10	usa	usa	PROPN
alces-101	209	11	.	.	PROPN
alces-101	209	12	hijmans	hijmans	PROPN
alces-101	209	13	,	,	PUNCT
alces-101	209	14	r.	r.	PROPN
alces-101	209	15	j.	j.	PROPN
alces-101	209	16	,	,	PUNCT
alces-101	209	17	s.	s.	PROPN
alces-101	209	18	phillips	phillips	PROPN
alces-101	209	19	,	,	PUNCT
alces-101	209	20	j.	j.	PROPN
alces-101	209	21	leathwick	leathwick	PROPN
alces-101	209	22	,	,	PUNCT
alces-101	209	23	and	and	CCONJ
alces-101	209	24	j.	j.	PROPN
alces-101	209	25	elith	elith	PROPN
alces-101	209	26	.	.	PUNCT
alces-101	210	1	2011	2011	NUM
alces-101	210	2	.	.	PUNCT
alces-101	211	1	dismo	dismo	NOUN
alces-101	211	2	:	:	PUNCT
alces-101	211	3	species	specie	NOUN
alces-101	211	4	distribution	distribution	NOUN
alces-101	211	5	modeling	modeling	NOUN
alces-101	211	6	.	.	PUNCT
alces-101	212	1	r	r	NOUN
alces-101	212	2	package	package	NOUN
alces-101	212	3	version	version	NOUN
alces-101	212	4	0.7	0.7	NUM
alces-101	212	5	-	-	SYM
alces-101	212	6	2	2	NUM
alces-101	212	7	.	.	PUNCT
alces-101	213	1	<	<	X
alces-101	213	2	http://cran.r	http://cran.r	NOUN
alces-101	213	3	-	-	PUNCT
alces-101	213	4	project	project	NOUN
alces-101	213	5	.	.	PUNCT
alces-101	214	1	org	org	ADJ
alces-101	214	2	/	/	SYM
alces-101	214	3	package	package	NOUN
alces-101	214	4	=	=	NOUN
alces-101	214	5	dismo	dismo	VERB
alces-101	214	6	>	>	X
alces-101	214	7	(	(	PUNCT
alces-101	214	8	accessed	access	VERB
alces-101	214	9	august	august	PROPN
alces-101	214	10	2011	2011	NUM
alces-101	214	11	)	)	PUNCT
alces-101	214	12	.	.	PUNCT
alces-101	215	1	karns	karns	PROPN
alces-101	215	2	,	,	PUNCT
alces-101	215	3	p.	p.	PROPN
alces-101	215	4	d.	d.	PROPN
alces-101	215	5	1982	1982	NUM
alces-101	215	6	.	.	PUNCT
alces-101	216	1	twenty	twenty	NUM
alces-101	216	2	-	-	PUNCT
alces-101	216	3	plus	plus	CCONJ
alces-101	216	4	years	year	NOUN
alces-101	216	5	of	of	ADP
alces-101	216	6	aerial	aerial	ADJ
alces-101	216	7	moose	moose	NOUN
alces-101	216	8	census	census	NOUN
alces-101	216	9	in	in	ADP
alces-101	216	10	minnesota	minnesota	PROPN
alces-101	216	11	.	.	PUNCT
alces-101	217	1	alces	alce	NOUN
alces-101	217	2	18	18	NUM
alces-101	217	3	:	:	SYM
alces-101	217	4	186	186	NUM
alces-101	217	5	-	-	SYM
alces-101	217	6	196	196	NUM
alces-101	217	7	.	.	PUNCT
alces-101	218	1	lenarz	lenarz	PROPN
alces-101	218	2	,	,	PUNCT
alces-101	218	3	m.	m.	NOUN
alces-101	218	4	s.	s.	PROPN
alces-101	218	5	2011	2011	NUM
alces-101	218	6	.	.	PUNCT
alces-101	219	1	2011	2011	NUM
alces-101	219	2	aerial	aerial	ADJ
alces-101	219	3	moose	moose	NOUN
alces-101	219	4	survey	survey	NOUN
alces-101	219	5	.	.	PUNCT
alces-101	220	1	minnesota	minnesota	PROPN
alces-101	220	2	department	department	PROPN
alces-101	220	3	of	of	ADP
alces-101	220	4	natural	natural	ADJ
alces-101	220	5	resources	resource	NOUN
alces-101	220	6	,	,	PUNCT
alces-101	220	7	st	st	PROPN
alces-101	220	8	.	.	PROPN
alces-101	220	9	paul	paul	PROPN
alces-101	220	10	,	,	PUNCT
alces-101	220	11	minnesota	minnesota	PROPN
alces-101	220	12	,	,	PUNCT
alces-101	220	13	usa	usa	PROPN
alces-101	220	14	.	.	PROPN
alces-101	221	1	<	<	PROPN
alces-101	221	2	http://	http://	PROPN
alces-101	221	3	files.dnr.state.mn.us/outdoor_activities/	files.dnr.state.mn.us/outdoor_activities/	PROPN
alces-101	221	4	hunting	hunting	NOUN
alces-101	221	5	/	/	SYM
alces-101	221	6	moose	moose	NOUN
alces-101	221	7	/	/	SYM
alces-101	221	8	moose_survey_2011	moose_survey_2011	PROPN
alces-101	221	9	.	.	PUNCT
alces-101	222	1	pdf	pdf	PROPN
alces-101	222	2	>	>	X
alces-101	222	3	(	(	PUNCT
alces-101	222	4	accessed	access	VERB
alces-101	222	5	july	july	PROPN
alces-101	222	6	2011	2011	NUM
alces-101	222	7	)	)	PUNCT
alces-101	222	8	.	.	PUNCT
alces-101	223	1	_	_	PUNCT
alces-101	224	1	_	_	PUNCT
alces-101	225	1	_	_	PUNCT
alces-101	226	1	_	_	PUNCT
alces-101	227	1	_	_	PUNCT
alces-101	227	2	,	,	PUNCT
alces-101	227	3	j.	j.	PROPN
alces-101	227	4	fieberg	fieberg	PROPN
alces-101	227	5	,	,	PUNCT
alces-101	227	6	m.	m.	NOUN
alces-101	227	7	w.	w.	PROPN
alces-101	227	8	schrage	schrage	PROPN
alces-101	227	9	,	,	PUNCT
alces-101	227	10	and	and	CCONJ
alces-101	227	11	a.	a.	PROPN
alces-101	227	12	j.	j.	PROPN
alces-101	227	13	edwards	edwards	PROPN
alces-101	227	14	.	.	PROPN
alces-101	227	15	2010	2010	NUM
alces-101	227	16	.	.	PUNCT
alces-101	228	1	living	live	VERB
alces-101	228	2	on	on	ADP
alces-101	228	3	the	the	DET
alces-101	228	4	edge	edge	NOUN
alces-101	228	5	:	:	PUNCT
alces-101	228	6	viability	viability	NOUN
alces-101	228	7	of	of	ADP
alces-101	228	8	moose	moose	NOUN
alces-101	228	9	in	in	ADP
alces-101	228	10	northeastern	northeastern	ADJ
alces-101	228	11	minnesota	minnesota	PROPN
alces-101	228	12	.	.	PUNCT
alces-101	229	1	journal	journal	PROPN
alces-101	229	2	of	of	ADP
alces-101	229	3	wildlife	wildlife	NOUN
alces-101	229	4	management	management	NOUN
alces-101	229	5	74	74	NUM
alces-101	229	6	:	:	SYM
alces-101	229	7	1013	1013	NUM
alces-101	229	8	-	-	SYM
alces-101	229	9	1023	1023	NUM
alces-101	229	10	.	.	PUNCT
alces-101	230	1	_	_	PUNCT
alces-101	231	1	_	_	PUNCT
alces-101	232	1	_	_	PUNCT
alces-101	233	1	_	_	PUNCT
alces-101	234	1	_	_	PUNCT
alces-101	234	2	,	,	PUNCT
alces-101	234	3	r.	r.	PROPN
alces-101	234	4	wright	wright	PROPN
alces-101	234	5	,	,	PUNCT
alces-101	234	6	m.	m.	PROPN
alces-101	234	7	w.	w.	PROPN
alces-101	234	8	schrage	schrage	PROPN
alces-101	234	9	,	,	PUNCT
alces-101	234	10	and	and	CCONJ
alces-101	234	11	a.	a.	PROPN
alces-101	234	12	j.	j.	PROPN
alces-101	234	13	edwards	edwards	PROPN
alces-101	234	14	.	.	PROPN
alces-101	235	1	2011	2011	NUM
alces-101	235	2	.	.	PUNCT
alces-101	236	1	compositional	compositional	ADJ
alces-101	236	2	analysis	analysis	NOUN
alces-101	236	3	of	of	ADP
alces-101	236	4	moose	moose	NOUN
alces-101	236	5	habitat	habitat	NOUN
alces-101	236	6	in	in	ADP
alces-101	236	7	northeastern	northeastern	ADJ
alces-101	236	8	minnesota	minnesota	PROPN
alces-101	236	9	.	.	PUNCT
alces-101	237	1	alces	alce	VERB
alces-101	237	2	47	47	NUM
alces-101	237	3	:	:	SYM
alces-101	237	4	135	135	NUM
alces-101	237	5	-	-	SYM
alces-101	237	6	149	149	NUM
alces-101	237	7	.	.	PUNCT
alces-101	238	1	(	(	PUNCT
alces-101	238	2	mndnr	mndnr	PROPN
alces-101	238	3	)	)	PUNCT
alces-101	238	4	minnesota	minnesota	PROPN
alces-101	238	5	department	department	PROPN
alces-101	238	6	of	of	ADP
alces-101	238	7	natural	natural	ADJ
alces-101	238	8	resources	resource	NOUN
alces-101	238	9	.	.	PUNCT
alces-101	239	1	1998	1998	NUM
alces-101	239	2	.	.	PUNCT
alces-101	240	1	landsatbased	landsatbase	VERB
alces-101	240	2	land	land	NOUN
alces-101	240	3	use	use	NOUN
alces-101	240	4	-	-	PUNCT
alces-101	240	5	land	land	NOUN
alces-101	240	6	cover	cover	NOUN
alces-101	240	7	(	(	PUNCT
alces-101	240	8	raster	raster	NOUN
alces-101	240	9	)	)	PUNCT
alces-101	240	10	.	.	PUNCT
alces-101	241	1	minnesota	minnesota	PROPN
alces-101	241	2	department	department	PROPN
alces-101	241	3	of	of	ADP
alces-101	241	4	natural	natural	ADJ
alces-101	241	5	resources	resource	NOUN
alces-101	241	6	,	,	PUNCT
alces-101	241	7	st	st	PROPN
alces-101	241	8	.	.	PROPN
alces-101	241	9	paul	paul	PROPN
alces-101	241	10	,	,	PUNCT
alces-101	241	11	minnesota	minnesota	PROPN
alces-101	241	12	,	,	PUNCT
alces-101	241	13	usa	usa	PROPN
alces-101	241	14	.	.	PROPN
alces-101	241	15	<	<	X
alces-101	241	16	http://deli.dnr.state.mn.us/metadata	http://deli.dnr.state.mn.us/metadata	PROPN
alces-101	241	17	.	.	PUNCT
alces-101	242	1	html?id	html?id	PROPN
alces-101	242	2	=	=	SYM
alces-101	242	3	l250000120604	l250000120604	NOUN
alces-101	242	4	>	>	X
alces-101	242	5	(	(	PUNCT
alces-101	242	6	accessed	access	VERB
alces-101	242	7	april	april	PROPN
alces-101	242	8	2011	2011	NUM
alces-101	242	9	)	)	PUNCT
alces-101	242	10	.	.	PUNCT
alces-101	243	1	_	_	PUNCT
alces-101	244	1	_	_	PUNCT
alces-101	245	1	_	_	PUNCT
alces-101	246	1	_	_	PUNCT
alces-101	247	1	_	_	PUNCT
alces-101	247	2	.	.	PUNCT
alces-101	248	1	2007	2007	NUM
alces-101	248	2	.	.	PUNCT
alces-101	249	1	ecological	ecological	ADJ
alces-101	249	2	classification	classification	NOUN
alces-101	249	3	system	system	NOUN
alces-101	249	4	.	.	PUNCT
alces-101	250	1	minnesota	minnesota	PROPN
alces-101	250	2	department	department	PROPN
alces-101	250	3	of	of	ADP
alces-101	250	4	natural	natural	ADJ
alces-101	250	5	resources	resource	NOUN
alces-101	250	6	,	,	PUNCT
alces-101	250	7	st	st	PROPN
alces-101	250	8	.	.	PROPN
alces-101	250	9	paul	paul	PROPN
alces-101	250	10	,	,	PUNCT
alces-101	250	11	minnesota	minnesota	PROPN
alces-101	250	12	,	,	PUNCT
alces-101	250	13	usa	usa	PROPN
alces-101	250	14	.	.	PROPN
alces-101	251	1	<	<	X
alces-101	252	1	http://www.dnr.state.mn.us/ecs/index	http://www.dnr.state.mn.us/ecs/index	PROPN
alces-101	252	2	.	.	PUNCT
alces-101	253	1	html	html	PROPN
alces-101	253	2	>	>	X
alces-101	253	3	(	(	PUNCT
alces-101	253	4	accessed	access	VERB
alces-101	253	5	april	april	PROPN
alces-101	253	6	2011	2011	NUM
alces-101	253	7	)	)	PUNCT
alces-101	253	8	.	.	PUNCT
alces-101	254	1	moen	moen	PROPN
alces-101	254	2	,	,	PUNCT
alces-101	254	3	r.	r.	PROPN
alces-101	254	4	,	,	PUNCT
alces-101	254	5	m.	m.	PROPN
alces-101	254	6	e.	e.	PROPN
alces-101	254	7	nelson	nelson	PROPN
alces-101	254	8	,	,	PUNCT
alces-101	254	9	and	and	CCONJ
alces-101	254	10	a.	a.	PROPN
alces-101	254	11	j.	j.	PROPN
alces-101	254	12	edwards	edwards	PROPN
alces-101	254	13	.	.	PROPN
alces-101	254	14	2011	2011	NUM
alces-101	254	15	.	.	PUNCT
alces-101	255	1	radiotelemetry	radiotelemetry	NOUN
alces-101	255	2	locations	location	NOUN
alces-101	255	3	,	,	PUNCT
alces-101	255	4	home	home	NOUN
alces-101	255	5	ranges	range	NOUN
alces-101	255	6	,	,	PUNCT
alces-101	255	7	and	and	CCONJ
alces-101	255	8	aerial	aerial	ADJ
alces-101	255	9	surveys	survey	NOUN
alces-101	255	10	in	in	ADP
alces-101	255	11	minnesota	minnesota	PROPN
alces-101	255	12	.	.	PUNCT
alces-101	256	1	alces	alce	VERB
alces-101	256	2	47	47	NUM
alces-101	256	3	:	:	PUNCT
alces-101	256	4	101	101	NUM
alces-101	256	5	-	-	SYM
alces-101	256	6	112	112	NUM
alces-101	256	7	.	.	PUNCT
alces-101	257	1	pastor	pastor	NOUN
alces-101	257	2	,	,	PUNCT
alces-101	257	3	j.	j.	PROPN
alces-101	257	4	,	,	PUNCT
alces-101	257	5	and	and	CCONJ
alces-101	257	6	d.	d.	PROPN
alces-101	257	7	j.	j.	PROPN
alces-101	257	8	mladenoff	mladenoff	PROPN
alces-101	257	9	.	.	PUNCT
alces-101	257	10	1992	1992	NUM
alces-101	257	11	.	.	PUNCT
alces-101	258	1	the	the	DET
alces-101	258	2	southern	southern	ADJ
alces-101	258	3	boreal	boreal	ADJ
alces-101	258	4	northern	northern	ADJ
alces-101	258	5	hardwood	hardwood	NOUN
alces-101	258	6	forest	forest	NOUN
alces-101	258	7	border	border	NOUN
alces-101	258	8	.	.	PUNCT
alces-101	259	1	pages	page	NOUN
alces-101	259	2	216	216	NUM
alces-101	259	3	-	-	SYM
alces-101	259	4	240	240	NUM
alces-101	259	5	in	in	ADP
alces-101	259	6	h.h	h.h	PROPN
alces-101	259	7	.	.	PROPN
alces-101	259	8	shugart	shugart	PROPN
alces-101	259	9	,	,	PUNCT
alces-101	259	10	r.	r.	PROPN
alces-101	259	11	leemans	leemans	PROPN
alces-101	259	12	,	,	PUNCT
alces-101	259	13	and	and	CCONJ
alces-101	259	14	g.	g.	PROPN
alces-101	259	15	b.	b.	PROPN
alces-101	259	16	bonan	bonan	PROPN
alces-101	259	17	,	,	PUNCT
alces-101	259	18	editors	editor	NOUN
alces-101	259	19	.	.	PUNCT
alces-101	260	1	a	a	DET
alces-101	260	2	systems	system	NOUN
alces-101	260	3	analysis	analysis	NOUN
alces-101	260	4	of	of	ADP
alces-101	260	5	the	the	DET
alces-101	260	6	global	global	ADJ
alces-101	260	7	boreal	boreal	PROPN
alces-101	260	8	forest	forest	NOUN
alces-101	260	9	.	.	PUNCT
alces-101	261	1	cambridge	cambridge	PROPN
alces-101	261	2	university	university	PROPN
alces-101	261	3	press	press	PROPN
alces-101	261	4	,	,	PUNCT
alces-101	261	5	cambridge	cambridge	PROPN
alces-101	261	6	,	,	PUNCT
alces-101	261	7	england	england	PROPN
alces-101	261	8	.	.	PUNCT
alces-101	262	1	quayle	quayle	PROPN
alces-101	262	2	,	,	PUNCT
alces-101	262	3	j.f	j.f	PROPN
alces-101	262	4	.	.	PROPN
alces-101	262	5	,	,	PUNCT
alces-101	262	6	a.	a.	PROPN
alces-101	262	7	g.	g.	PROPN
alces-101	262	8	machutchon	machutchon	PROPN
alces-101	262	9	,	,	PUNCT
alces-101	262	10	and	and	CCONJ
alces-101	262	11	d.	d.	PROPN
alces-101	262	12	n.	n.	PROPN
alces-101	262	13	jury	jury	PROPN
alces-101	262	14	.	.	PUNCT
alces-101	263	1	2001	2001	NUM
alces-101	263	2	.	.	PUNCT
alces-101	264	1	modeling	model	VERB
alces-101	264	2	moose	moose	NOUN
alces-101	264	3	sightability	sightability	NOUN
alces-101	264	4	in	in	ADP
alces-101	264	5	south	south	ADJ
alces-101	264	6	-	-	PUNCT
alces-101	264	7	central	central	ADJ
alces-101	264	8	british	british	PROPN
alces-101	264	9	columbia	columbia	PROPN
alces-101	264	10	.	.	PUNCT
alces-101	265	1	alces	alce	VERB
alces-101	265	2	37	37	NUM
alces-101	265	3	:	:	SYM
alces-101	265	4	43	43	NUM
alces-101	265	5	-	-	SYM
alces-101	265	6	54	54	NUM
alces-101	265	7	.	.	PUNCT
alces-101	266	1	r	r	NOUN
alces-101	266	2	development	development	NOUN
alces-101	266	3	core	core	NOUN
alces-101	266	4	team	team	NOUN
alces-101	266	5	.	.	PUNCT
alces-101	267	1	2010	2010	NUM
alces-101	267	2	.	.	PUNCT
alces-101	268	1	r	r	X
alces-101	268	2	:	:	PUNCT
alces-101	268	3	a	a	DET
alces-101	268	4	language	language	NOUN
alces-101	268	5	and	and	CCONJ
alces-101	268	6	environment	environment	NOUN
alces-101	268	7	for	for	ADP
alces-101	268	8	statistical	statistical	ADJ
alces-101	268	9	computing	computing	NOUN
alces-101	268	10	.	.	PUNCT
alces-101	269	1	r	r	NOUN
alces-101	269	2	foundation	foundation	NOUN
alces-101	269	3	for	for	ADP
alces-101	269	4	statistical	statistical	ADJ
alces-101	269	5	computing	computing	NOUN
alces-101	269	6	,	,	PUNCT
alces-101	269	7	vienna	vienna	PROPN
alces-101	269	8	,	,	PUNCT
alces-101	269	9	austria	austria	PROPN
alces-101	269	10	.	.	PUNCT
alces-101	270	1	isbn	isbn	PROPN
alces-101	270	2	3	3	NUM
alces-101	270	3	-	-	SYM
alces-101	270	4	900051	900051	NUM
alces-101	270	5	-	-	PUNCT
alces-101	270	6	07	07	NUM
alces-101	270	7	-	-	PUNCT
alces-101	270	8	0	0	NUM
alces-101	270	9	.	.	PUNCT
alces-101	271	1	<	<	X
alces-101	271	2	http://www.r	http://www.r	NOUN
alces-101	271	3	-	-	PUNCT
alces-101	271	4	project	project	NOUN
alces-101	271	5	.	.	PUNCT
alces-101	272	1	org/	org/	PRON
alces-101	272	2	>	>	X
alces-101	272	3	(	(	PUNCT
alces-101	272	4	accessed	access	VERB
alces-101	272	5	august	august	PROPN
alces-101	272	6	2011	2011	NUM
alces-101	272	7	)	)	PUNCT
alces-101	272	8	.	.	PUNCT
alces-101	273	1	ridgeway	ridgeway	NOUN
alces-101	273	2	,	,	PUNCT
alces-101	273	3	g.	g.	PROPN
alces-101	273	4	2010	2010	NUM
alces-101	273	5	.	.	PUNCT
alces-101	274	1	gbm	gbm	NOUN
alces-101	274	2	:	:	PUNCT
alces-101	274	3	generalized	generalize	VERB
alces-101	274	4	boosted	boost	VERB
alces-101	274	5	regression	regression	NOUN
alces-101	274	6	models	model	NOUN
alces-101	274	7	.	.	PUNCT
alces-101	275	1	r	r	NOUN
alces-101	275	2	package	package	NOUN
alces-101	275	3	version	version	NOUN
alces-101	275	4	1.6	1.6	NUM
alces-101	275	5	-	-	SYM
alces-101	275	6	3.1	3.1	NUM
alces-101	275	7	.	.	PUNCT
alces-101	276	1	<	<	X
alces-101	276	2	http://cran.r	http://cran.r	NOUN
alces-101	276	3	-	-	PUNCT
alces-101	276	4	project	project	NOUN
alces-101	276	5	.	.	PUNCT
alces-101	277	1	org	org	ADJ
alces-101	277	2	/	/	SYM
alces-101	277	3	package	package	NOUN
alces-101	277	4	=	=	SYM
alces-101	277	5	gbm	gbm	NOUN
alces-101	277	6	>	>	X
alces-101	277	7	(	(	PUNCT
alces-101	277	8	accessed	access	VERB
alces-101	277	9	august	august	PROPN
alces-101	277	10	2011	2011	NUM
alces-101	277	11	)	)	PUNCT
alces-101	277	12	.	.	PUNCT
alces-101	278	1	steinhorst	steinhorst	PROPN
alces-101	278	2	,	,	PUNCT
alces-101	278	3	r.	r.	PROPN
alces-101	278	4	k.	k.	PROPN
alces-101	278	5	,	,	PUNCT
alces-101	278	6	and	and	CCONJ
alces-101	278	7	m.	m.	PROPN
alces-101	278	8	d.	d.	PROPN
alces-101	278	9	samuel	samuel	PROPN
alces-101	278	10	.	.	PUNCT
alces-101	279	1	1989	1989	NUM
alces-101	279	2	.	.	PUNCT
alces-101	280	1	sightability	sightability	NOUN
alces-101	280	2	adjustment	adjustment	NOUN
alces-101	280	3	methods	method	NOUN
alces-101	280	4	for	for	ADP
alces-101	280	5	aerial	aerial	ADJ
alces-101	280	6	surveys	survey	NOUN
alces-101	280	7	of	of	ADP
alces-101	280	8	wildlife	wildlife	NOUN
alces-101	280	9	populations	population	NOUN
alces-101	280	10	.	.	PUNCT
alces-101	281	1	biometrics	biometric	NOUN
alces-101	281	2	45	45	NUM
alces-101	281	3	:	:	SYM
alces-101	281	4	415	415	NUM
alces-101	281	5	-	-	SYM
alces-101	281	6	425	425	NUM
alces-101	281	7	.	.	PUNCT
alces-101	282	1	usda	usda	PROPN
alces-101	282	2	forest	forest	PROPN
alces-101	282	3	service	service	PROPN
alces-101	282	4	.	.	PUNCT
alces-101	283	1	2002	2002	NUM
alces-101	283	2	.	.	PUNCT
alces-101	284	1	after	after	ADP
alces-101	284	2	the	the	DET
alces-101	284	3	storm	storm	NOUN
alces-101	284	4	:	:	PUNCT
alces-101	284	5	a	a	DET
alces-101	284	6	progress	progress	NOUN
alces-101	284	7	report	report	NOUN
alces-101	284	8	:	:	PUNCT
alces-101	284	9	july	july	PROPN
alces-101	284	10	2002	2002	NUM
alces-101	284	11	.	.	PUNCT
alces-101	285	1	usda	usda	PROPN
alces-101	285	2	forest	forest	PROPN
alces-101	285	3	service	service	PROPN
alces-101	285	4	,	,	PUNCT
alces-101	285	5	superior	superior	ADJ
alces-101	285	6	national	national	ADJ
alces-101	285	7	forest	forest	NOUN
alces-101	285	8	,	,	PUNCT
alces-101	285	9	eastern	eastern	ADJ
alces-101	285	10	region	region	NOUN
alces-101	285	11	,	,	PUNCT
alces-101	285	12	milwaukee	milwaukee	PROPN
alces-101	285	13	,	,	PUNCT
alces-101	285	14	wisconsin	wisconsin	PROPN
alces-101	285	15	,	,	PUNCT
alces-101	285	16	usa	usa	PROPN
alces-101	285	17	.	.	PROPN
alces-101	286	1	<	<	X
alces-101	286	2	http://www.fs.fed.us/r9/forests/	http://www.fs.fed.us/r9/forests/	PROPN
alces-101	286	3	superior	superior	ADJ
alces-101	286	4	/	/	SYM
alces-101	286	5	storm_recovery	storm_recovery	NOUN
alces-101	286	6	/	/	SYM
alces-101	286	7	afterstorm/	afterstorm/	NUM
alces-101	286	8	>	>	X
alces-101	286	9	(	(	PUNCT
alces-101	286	10	accessed	access	VERB
alces-101	286	11	july	july	PROPN
alces-101	286	12	2011	2011	NUM
alces-101	286	13	)	)	PUNCT
alces-101	286	14	.	.	PUNCT