id	sid	tid	token	lemma	pos
alces-146	1	1	estimating	estimate	VERB
alces-146	1	2	moose	moose	NOUN
alces-146	1	3	abundance	abundance	NOUN
alces-146	1	4	and	and	CCONJ
alces-146	1	5	trends	trend	NOUN
alces-146	1	6	in	in	ADP
alces-146	1	7	northeastern	northeastern	ADJ
alces-146	1	8	washington	washington	PROPN
alces-146	1	9	state	state	PROPN
alces-146	1	10	:	:	PUNCT
alces-146	1	11	index	index	NOUN
alces-146	1	12	counts	count	NOUN
alces-146	1	13	,	,	PUNCT
alces-146	1	14	sightability	sightability	NOUN
alces-146	1	15	models	model	NOUN
alces-146	1	16	,	,	PUNCT
alces-146	1	17	and	and	CCONJ
alces-146	1	18	reducing	reduce	VERB
alces-146	1	19	uncertainty	uncertainty	NOUN
alces-146	1	20	richard	richard	PROPN
alces-146	1	21	b.	b.	PROPN
alces-146	1	22	harris1	harris1	PROPN
alces-146	1	23	,	,	PUNCT
alces-146	1	24	michael	michael	PROPN
alces-146	1	25	atamian2	atamian2	PROPN
alces-146	1	26	,	,	PUNCT
alces-146	1	27	howard	howard	PROPN
alces-146	1	28	ferguson3	ferguson3	PROPN
alces-146	1	29	,	,	PUNCT
alces-146	1	30	and	and	CCONJ
alces-146	1	31	ilai	ilai	NOUN
alces-146	1	32	keren1	keren1	PROPN
alces-146	2	1	1washington	1washington	PROPN
alces-146	2	2	department	department	NOUN
alces-146	2	3	of	of	ADP
alces-146	2	4	fish	fish	NOUN
alces-146	2	5	and	and	CCONJ
alces-146	2	6	wildlife	wildlife	NOUN
alces-146	2	7	,	,	PUNCT
alces-146	2	8	600	600	NUM
alces-146	2	9	capital	capital	NOUN
alces-146	2	10	way	way	NOUN
alces-146	2	11	north	north	NOUN
alces-146	2	12	,	,	PUNCT
alces-146	2	13	olympia	olympia	PROPN
alces-146	2	14	,	,	PUNCT
alces-146	2	15	washington	washington	PROPN
alces-146	2	16	98504	98504	NUM
alces-146	2	17	;	;	PUNCT
alces-146	2	18	2washington	2washington	NUM
alces-146	2	19	department	department	NOUN
alces-146	2	20	of	of	ADP
alces-146	2	21	fish	fish	NOUN
alces-146	2	22	and	and	CCONJ
alces-146	2	23	wildlife	wildlife	NOUN
alces-146	2	24	,	,	PUNCT
alces-146	2	25	2315	2315	NUM
alces-146	2	26	n.	n.	NOUN
alces-146	2	27	discovery	discovery	PROPN
alces-146	2	28	place	place	NOUN
alces-146	2	29	,	,	PUNCT
alces-146	2	30	spokane	spokane	PROPN
alces-146	2	31	valley	valley	PROPN
alces-146	2	32	,	,	PUNCT
alces-146	2	33	washington	washington	PROPN
alces-146	2	34	99216	99216	NUM
alces-146	2	35	;	;	PUNCT
alces-146	2	36	3retired	3retired	NUM
alces-146	2	37	abstract	abstract	NOUN
alces-146	2	38	:	:	PUNCT
alces-146	2	39	the	the	DET
alces-146	2	40	state	state	NOUN
alces-146	2	41	of	of	ADP
alces-146	2	42	washington	washington	PROPN
alces-146	2	43	was	be	AUX
alces-146	2	44	historically	historically	ADV
alces-146	2	45	considered	consider	VERB
alces-146	2	46	to	to	PART
alces-146	2	47	be	be	AUX
alces-146	2	48	unoccupied	unoccupie	VERB
alces-146	2	49	by	by	ADP
alces-146	2	50	moose	moose	NOUN
alces-146	2	51	(	(	PUNCT
alces-146	2	52	alces	alce	NOUN
alces-146	2	53	alces	alce	NOUN
alces-146	2	54	)	)	PUNCT
alces-146	2	55	with	with	ADP
alces-146	2	56	initial	initial	ADJ
alces-146	2	57	colonization	colonization	NOUN
alces-146	2	58	in	in	ADP
alces-146	2	59	the	the	DET
alces-146	2	60	1920s	1920s	NUM
alces-146	2	61	primarily	primarily	ADV
alces-146	2	62	in	in	ADP
alces-146	2	63	the	the	DET
alces-146	2	64	northeastern	northeastern	ADJ
alces-146	2	65	quarter	quarter	NOUN
alces-146	2	66	of	of	ADP
alces-146	2	67	the	the	DET
alces-146	2	68	state	state	NOUN
alces-146	2	69	.	.	PUNCT
alces-146	3	1	all	all	DET
alces-146	3	2	evidence	evidence	NOUN
alces-146	3	3	indicates	indicate	VERB
alces-146	3	4	a	a	DET
alces-146	3	5	steadily	steadily	ADV
alces-146	3	6	increasing	increase	VERB
alces-146	3	7	population	population	NOUN
alces-146	3	8	since	since	SCONJ
alces-146	3	9	,	,	PUNCT
alces-146	3	10	with	with	ADP
alces-146	3	11	moose	moose	NOUN
alces-146	3	12	and	and	CCONJ
alces-146	3	13	moose	moose	NOUN
alces-146	3	14	hunting	hunting	NOUN
alces-146	3	15	now	now	ADV
alces-146	3	16	firmly	firmly	ADV
alces-146	3	17	established	establish	VERB
alces-146	3	18	.	.	PUNCT
alces-146	4	1	given	give	VERB
alces-146	4	2	the	the	DET
alces-146	4	3	expectation	expectation	NOUN
alces-146	4	4	that	that	SCONJ
alces-146	4	5	washington	washington	PROPN
alces-146	4	6	's	's	PART
alces-146	4	7	moose	moose	NOUN
alces-146	4	8	population	population	NOUN
alces-146	4	9	will	will	AUX
alces-146	4	10	face	face	VERB
alces-146	4	11	increasing	increase	VERB
alces-146	4	12	challenges	challenge	NOUN
alces-146	4	13	in	in	ADP
alces-146	4	14	the	the	DET
alces-146	4	15	coming	come	VERB
alces-146	4	16	decades	decade	NOUN
alces-146	4	17	,	,	PUNCT
alces-146	4	18	our	our	PRON
alces-146	4	19	monitoring	monitoring	NOUN
alces-146	4	20	objective	objective	NOUN
alces-146	4	21	is	be	AUX
alces-146	4	22	to	to	PART
alces-146	4	23	move	move	VERB
alces-146	4	24	from	from	ADP
alces-146	4	25	index	index	NOUN
alces-146	4	26	-	-	PUNCT
alces-146	4	27	counts	count	NOUN
alces-146	4	28	to	to	ADP
alces-146	4	29	valid	valid	ADJ
alces-146	4	30	estimates	estimate	NOUN
alces-146	4	31	of	of	ADP
alces-146	4	32	abundance	abundance	NOUN
alces-146	4	33	.	.	PUNCT
alces-146	5	1	we	we	PRON
alces-146	5	2	documented	document	VERB
alces-146	5	3	environmental	environmental	ADJ
alces-146	5	4	covariates	covariate	NOUN
alces-146	5	5	as	as	ADP
alces-146	5	6	an	an	DET
alces-146	5	7	adjunct	adjunct	ADJ
alces-146	5	8	to	to	ADP
alces-146	5	9	simple	simple	ADJ
alces-146	5	10	counts	count	NOUN
alces-146	5	11	from	from	ADP
alces-146	5	12	annual	annual	ADJ
alces-146	5	13	helicopter	helicopter	NOUN
alces-146	5	14	-	-	PUNCT
alces-146	5	15	based	base	VERB
alces-146	5	16	surveys	survey	NOUN
alces-146	5	17	in	in	ADP
alces-146	5	18	2002–2012	2002–2012	NUM
alces-146	5	19	,	,	PUNCT
alces-146	5	20	and	and	CCONJ
alces-146	5	21	examined	examine	VERB
alces-146	5	22	the	the	DET
alces-146	5	23	performance	performance	NOUN
alces-146	5	24	of	of	ADP
alces-146	5	25	existing	exist	VERB
alces-146	5	26	moose	moose	NOUN
alces-146	5	27	sightability	sightability	NOUN
alces-146	5	28	models	model	NOUN
alces-146	5	29	on	on	ADP
alces-146	5	30	these	these	DET
alces-146	5	31	data	datum	NOUN
alces-146	5	32	.	.	PUNCT
alces-146	6	1	while	while	SCONJ
alces-146	6	2	acknowledging	acknowledge	VERB
alces-146	6	3	our	our	PRON
alces-146	6	4	inability	inability	NOUN
alces-146	6	5	to	to	PART
alces-146	6	6	compare	compare	VERB
alces-146	6	7	modeled	model	VERB
alces-146	6	8	estimates	estimate	NOUN
alces-146	6	9	with	with	ADP
alces-146	6	10	actual	actual	ADJ
alces-146	6	11	abundance	abundance	NOUN
alces-146	6	12	,	,	PUNCT
alces-146	6	13	we	we	PRON
alces-146	6	14	reasoned	reason	VERB
alces-146	6	15	that	that	SCONJ
alces-146	6	16	if	if	SCONJ
alces-146	6	17	existing	exist	VERB
alces-146	6	18	models	model	NOUN
alces-146	6	19	converged	converge	VERB
alces-146	6	20	on	on	ADP
alces-146	6	21	similar	similar	ADJ
alces-146	6	22	results	result	NOUN
alces-146	6	23	,	,	PUNCT
alces-146	6	24	this	this	PRON
alces-146	6	25	would	would	AUX
alces-146	6	26	suggest	suggest	VERB
alces-146	6	27	that	that	SCONJ
alces-146	6	28	moose	moose	NOUN
alces-146	6	29	sightability	sightability	NOUN
alces-146	6	30	is	be	AUX
alces-146	6	31	a	a	DET
alces-146	6	32	sufficiently	sufficiently	ADV
alces-146	6	33	general	general	ADJ
alces-146	6	34	phenomenon	phenomenon	NOUN
alces-146	6	35	that	that	SCONJ
alces-146	6	36	the	the	DET
alces-146	6	37	cost	cost	NOUN
alces-146	6	38	of	of	ADP
alces-146	6	39	developing	develop	VERB
alces-146	6	40	a	a	DET
alces-146	6	41	specific	specific	ADJ
alces-146	6	42	local	local	ADJ
alces-146	6	43	model	model	NOUN
alces-146	6	44	might	might	AUX
alces-146	6	45	not	not	PART
alces-146	6	46	be	be	AUX
alces-146	6	47	justified	justify	VERB
alces-146	6	48	.	.	PUNCT
alces-146	7	1	however	however	ADV
alces-146	7	2	,	,	PUNCT
alces-146	7	3	despite	despite	SCONJ
alces-146	7	4	using	use	VERB
alces-146	7	5	similar	similar	ADJ
alces-146	7	6	covariates	covariate	NOUN
alces-146	7	7	,	,	PUNCT
alces-146	7	8	the	the	DET
alces-146	7	9	sightability	sightability	NOUN
alces-146	7	10	models	model	NOUN
alces-146	7	11	applied	apply	VERB
alces-146	7	12	to	to	ADP
alces-146	7	13	our	our	PRON
alces-146	7	14	data	datum	NOUN
alces-146	7	15	produced	produce	VERB
alces-146	7	16	widely	widely	ADV
alces-146	7	17	disparate	disparate	ADJ
alces-146	7	18	abundances	abundance	NOUN
alces-146	7	19	and	and	CCONJ
alces-146	7	20	estimates	estimate	NOUN
alces-146	7	21	with	with	ADP
alces-146	7	22	poor	poor	ADJ
alces-146	7	23	precision	precision	NOUN
alces-146	7	24	.	.	PUNCT
alces-146	8	1	specifically	specifically	ADV
alces-146	8	2	,	,	PUNCT
alces-146	8	3	where	where	SCONJ
alces-146	8	4	coniferous	coniferous	ADJ
alces-146	8	5	forest	forest	NOUN
alces-146	8	6	cover	cover	NOUN
alces-146	8	7	renders	render	VERB
alces-146	8	8	expected	expect	VERB
alces-146	8	9	detection	detection	NOUN
alces-146	8	10	probability	probability	NOUN
alces-146	8	11	low	low	ADJ
alces-146	8	12	,	,	PUNCT
alces-146	8	13	sightability	sightability	NOUN
alces-146	8	14	models	model	NOUN
alces-146	8	15	tend	tend	VERB
alces-146	8	16	to	to	PART
alces-146	8	17	behave	behave	VERB
alces-146	8	18	erratically	erratically	ADV
alces-146	8	19	.	.	PUNCT
alces-146	9	1	we	we	PRON
alces-146	9	2	also	also	ADV
alces-146	9	3	used	use	VERB
alces-146	9	4	covariate	covariate	ADJ
alces-146	9	5	data	datum	NOUN
alces-146	9	6	bearing	bear	VERB
alces-146	9	7	on	on	ADP
alces-146	9	8	sampling	sample	VERB
alces-146	9	9	variation	variation	NOUN
alces-146	9	10	to	to	PART
alces-146	9	11	refine	refine	VERB
alces-146	9	12	our	our	PRON
alces-146	9	13	estimate	estimate	NOUN
alces-146	9	14	of	of	ADP
alces-146	9	15	population	population	NOUN
alces-146	9	16	trend	trend	NOUN
alces-146	9	17	.	.	PUNCT
alces-146	10	1	multiple	multiple	ADJ
alces-146	10	2	regression	regression	NOUN
alces-146	10	3	analyses	analysis	NOUN
alces-146	10	4	revised	revise	VERB
alces-146	10	5	the	the	DET
alces-146	10	6	linear	linear	ADJ
alces-146	10	7	rate	rate	NOUN
alces-146	10	8	of	of	ADP
alces-146	10	9	increase	increase	NOUN
alces-146	10	10	associated	associate	VERB
alces-146	10	11	with	with	ADP
alces-146	10	12	the	the	DET
alces-146	10	13	raw	raw	ADJ
alces-146	10	14	counts	count	NOUN
alces-146	10	15	of	of	ADP
alces-146	10	16	the	the	DET
alces-146	10	17	instantaneous	instantaneous	ADJ
alces-146	10	18	rate	rate	NOUN
alces-146	10	19	of	of	ADP
alces-146	10	20	growth	growth	NOUN
alces-146	10	21	,	,	PUNCT
alces-146	10	22	r	r	NOUN
alces-146	10	23	=	=	SYM
alces-146	10	24	0.084	0.084	NUM
alces-146	10	25	(	(	PUNCT
alces-146	10	26	se	se	X
alces-146	10	27	=	=	X
alces-146	10	28	0.019	0.019	NUM
alces-146	10	29	)	)	PUNCT
alces-146	10	30	to	to	ADP
alces-146	10	31	an	an	DET
alces-146	10	32	adjusted	adjust	VERB
alces-146	10	33	estimate	estimate	NOUN
alces-146	10	34	of	of	ADP
alces-146	10	35	r	r	NOUN
alces-146	10	36	=	=	SYM
alces-146	10	37	0.077	0.077	NUM
alces-146	10	38	(	(	PUNCT
alces-146	10	39	se	se	X
alces-146	10	40	=	=	NOUN
alces-146	10	41	0.075	0.075	NUM
alces-146	10	42	)	)	PUNCT
alces-146	10	43	.	.	PUNCT
alces-146	11	1	while	while	SCONJ
alces-146	11	2	incapable	incapable	ADJ
alces-146	11	3	of	of	ADP
alces-146	11	4	transforming	transform	VERB
alces-146	11	5	an	an	DET
alces-146	11	6	index	index	NOUN
alces-146	11	7	into	into	ADP
alces-146	11	8	a	a	DET
alces-146	11	9	population	population	NOUN
alces-146	11	10	estimate	estimate	NOUN
alces-146	11	11	,	,	PUNCT
alces-146	11	12	accounting	account	VERB
alces-146	11	13	for	for	ADP
alces-146	11	14	variables	variable	NOUN
alces-146	11	15	likely	likely	ADJ
alces-146	11	16	to	to	PART
alces-146	11	17	affect	affect	VERB
alces-146	11	18	raw	raw	ADJ
alces-146	11	19	counts	count	NOUN
alces-146	11	20	may	may	AUX
alces-146	11	21	be	be	AUX
alces-146	11	22	useful	useful	ADJ
alces-146	11	23	to	to	PART
alces-146	11	24	refine	refine	VERB
alces-146	11	25	estimates	estimate	NOUN
alces-146	11	26	of	of	ADP
alces-146	11	27	trend	trend	NOUN
alces-146	11	28	.	.	PUNCT
alces-146	12	1	the	the	DET
alces-146	12	2	use	use	NOUN
alces-146	12	3	of	of	ADP
alces-146	12	4	an	an	DET
alces-146	12	5	approach	approach	NOUN
alces-146	12	6	that	that	PRON
alces-146	12	7	avoids	avoid	VERB
alces-146	12	8	the	the	DET
alces-146	12	9	autocorrelation	autocorrelation	NOUN
alces-146	12	10	inherent	inherent	ADJ
alces-146	12	11	in	in	ADP
alces-146	12	12	a	a	DET
alces-146	12	13	simple	simple	ADJ
alces-146	12	14	regression	regression	NOUN
alces-146	12	15	of	of	ADP
alces-146	12	16	counts	count	NOUN
alces-146	12	17	on	on	ADP
alces-146	12	18	time	time	NOUN
alces-146	12	19	better	well	ADV
alces-146	12	20	reflects	reflect	VERB
alces-146	12	21	true	true	ADJ
alces-146	12	22	uncertainty	uncertainty	NOUN
alces-146	12	23	.	.	PUNCT
alces-146	13	1	alces	alce	NOUN
alces-146	13	2	vol	vol	NOUN
alces-146	13	3	.	.	PUNCT
alces-146	14	1	51	51	NUM
alces-146	14	2	:	:	SYM
alces-146	14	3	57–69	57–69	NUM
alces-146	14	4	(	(	PUNCT
alces-146	14	5	2015	2015	NUM
alces-146	14	6	)	)	PUNCT
alces-146	14	7	key	key	ADJ
alces-146	14	8	words	word	NOUN
alces-146	14	9	:	:	PUNCT
alces-146	14	10	aerial	aerial	ADJ
alces-146	14	11	survey	survey	NOUN
alces-146	14	12	,	,	PUNCT
alces-146	14	13	alces	alce	NOUN
alces-146	14	14	alces	alce	NOUN
alces-146	14	15	,	,	PUNCT
alces-146	14	16	moose	moose	NOUN
alces-146	14	17	,	,	PUNCT
alces-146	14	18	regression	regression	NOUN
alces-146	14	19	,	,	PUNCT
alces-146	14	20	sampling	sample	VERB
alces-146	14	21	variation	variation	NOUN
alces-146	14	22	,	,	PUNCT
alces-146	14	23	sightability	sightability	NOUN
alces-146	14	24	models	model	NOUN
alces-146	14	25	moose	moose	VERB
alces-146	14	26	(	(	PUNCT
alces-146	14	27	alces	alce	NOUN
alces-146	14	28	alces	alce	NOUN
alces-146	14	29	)	)	PUNCT
alces-146	14	30	are	be	AUX
alces-146	14	31	generally	generally	ADV
alces-146	14	32	considered	consider	VERB
alces-146	14	33	to	to	PART
alces-146	14	34	have	have	AUX
alces-146	14	35	colonized	colonize	VERB
alces-146	14	36	the	the	DET
alces-146	14	37	northeastern	northeastern	ADJ
alces-146	14	38	portion	portion	NOUN
alces-146	14	39	of	of	ADP
alces-146	14	40	the	the	DET
alces-146	14	41	u.s	u.s	PROPN
alces-146	14	42	.	.	PROPN
alces-146	14	43	state	state	PROPN
alces-146	14	44	of	of	ADP
alces-146	14	45	washington	washington	PROPN
alces-146	14	46	in	in	ADP
alces-146	14	47	the	the	DET
alces-146	14	48	1920s	1920s	NUM
alces-146	14	49	,	,	PUNCT
alces-146	14	50	but	but	CCONJ
alces-146	14	51	did	do	AUX
alces-146	14	52	not	not	PART
alces-146	14	53	become	become	AUX
alces-146	14	54	well	well	ADV
alces-146	14	55	established	establish	VERB
alces-146	14	56	until	until	ADP
alces-146	14	57	the	the	DET
alces-146	14	58	1970s	1970	NOUN
alces-146	14	59	(	(	PUNCT
alces-146	14	60	base	base	NOUN
alces-146	14	61	et	et	PROPN
alces-146	14	62	al	al	PROPN
alces-146	14	63	.	.	PROPN
alces-146	14	64	2006	2006	NUM
alces-146	14	65	)	)	PUNCT
alces-146	14	66	.	.	PUNCT
alces-146	15	1	the	the	DET
alces-146	15	2	population	population	NOUN
alces-146	15	3	evidently	evidently	ADV
alces-146	15	4	increased	increase	VERB
alces-146	15	5	in	in	ADP
alces-146	15	6	the	the	DET
alces-146	15	7	latter	latter	ADJ
alces-146	15	8	part	part	NOUN
alces-146	15	9	of	of	ADP
alces-146	15	10	the	the	DET
alces-146	15	11	20th	20th	ADJ
alces-146	15	12	century	century	NOUN
alces-146	15	13	,	,	PUNCT
alces-146	15	14	with	with	ADP
alces-146	15	15	limitedentry	limitedentry	NOUN
alces-146	15	16	hunting	hunting	NOUN
alces-146	15	17	initiated	initiate	VERB
alces-146	15	18	by	by	ADP
alces-146	15	19	the	the	DET
alces-146	15	20	then	then	PROPN
alces-146	15	21	washington	washington	PROPN
alces-146	15	22	department	department	PROPN
alces-146	15	23	of	of	ADP
alces-146	15	24	game	game	NOUN
alces-146	15	25	in	in	ADP
alces-146	15	26	1977	1977	NUM
alces-146	15	27	,	,	PUNCT
alces-146	15	28	and	and	CCONJ
alces-146	15	29	increasing	increase	VERB
alces-146	15	30	to	to	ADP
alces-146	15	31	approximately	approximately	ADV
alces-146	15	32	130	130	NUM
alces-146	15	33	permits	permit	NOUN
alces-146	15	34	drawn	draw	VERB
alces-146	15	35	annually	annually	ADV
alces-146	15	36	in	in	ADP
alces-146	15	37	2012	2012	NUM
alces-146	15	38	(	(	PUNCT
alces-146	15	39	wdfw	wdfw	NOUN
alces-146	15	40	2013	2013	NUM
alces-146	15	41	)	)	PUNCT
alces-146	15	42	.	.	PUNCT
alces-146	16	1	evidence	evidence	NOUN
alces-146	16	2	available	available	ADJ
alces-146	16	3	from	from	ADP
alces-146	16	4	hunters	hunter	NOUN
alces-146	16	5	suggests	suggest	VERB
alces-146	16	6	that	that	SCONJ
alces-146	16	7	moose	moose	NOUN
alces-146	16	8	have	have	AUX
alces-146	16	9	increased	increase	VERB
alces-146	16	10	since	since	SCONJ
alces-146	16	11	2001	2001	NUM
alces-146	16	12	,	,	PUNCT
alces-146	16	13	at	at	ADP
alces-146	16	14	least	least	ADJ
alces-146	16	15	within	within	ADP
alces-146	16	16	areas	area	NOUN
alces-146	16	17	open	open	ADJ
alces-146	16	18	to	to	ADP
alces-146	16	19	hunting	hunt	VERB
alces-146	16	20	.	.	PUNCT
alces-146	17	1	the	the	DET
alces-146	17	2	mean	mean	ADJ
alces-146	17	3	annual	annual	ADJ
alces-146	17	4	number	number	NOUN
alces-146	17	5	of	of	ADP
alces-146	17	6	moose	moose	NOUN
alces-146	17	7	observed	observe	VERB
alces-146	17	8	/	/	SYM
alces-146	17	9	day	day	NOUN
alces-146	17	10	/	/	SYM
alces-146	17	11	hunter	hunter	NOUN
alces-146	17	12	(	(	PUNCT
alces-146	17	13	as	as	SCONJ
alces-146	17	14	documented	document	VERB
alces-146	17	15	via	via	ADP
alces-146	17	16	a	a	DET
alces-146	17	17	mandatory	mandatory	ADJ
alces-146	17	18	,	,	PUNCT
alces-146	17	19	webbased	webbased	ADJ
alces-146	17	20	reporting	reporting	NOUN
alces-146	17	21	system	system	NOUN
alces-146	17	22	)	)	PUNCT
alces-146	17	23	increased	increase	VERB
alces-146	17	24	from	from	ADP
alces-146	17	25	2001	2001	NUM
alces-146	17	26	to	to	ADP
alces-146	17	27	2012	2012	NUM
alces-146	17	28	(	(	PUNCT
alces-146	17	29	linear	linear	ADJ
alces-146	17	30	regression	regression	NOUN
alces-146	17	31	of	of	ADP
alces-146	17	32	raw	raw	ADJ
alces-146	17	33	counts	count	NOUN
alces-146	17	34	on	on	ADP
alces-146	17	35	time	time	NOUN
alces-146	17	36	:	:	PUNCT
alces-146	17	37	β	β	X
alces-146	17	38	=	=	PUNCT
alces-146	17	39	0.086	0.086	NUM
alces-146	17	40	,	,	PUNCT
alces-146	17	41	se	se	X
alces-146	17	42	=	=	PROPN
alces-146	17	43	0.034	0.034	NUM
alces-146	17	44	,	,	PUNCT
alces-146	17	45	n	n	NOUN
alces-146	17	46	=	=	NUM
alces-146	17	47	11	11	NUM
alces-146	17	48	,	,	PUNCT
alces-146	17	49	t	t	NOUN
alces-146	17	50	=	=	SYM
alces-146	17	51	2.57	2.57	NUM
alces-146	17	52	,	,	PUNCT
alces-146	17	53	p	p	X
alces-146	17	54	=	=	NOUN
alces-146	17	55	0.030	0.030	NUM
alces-146	17	56	;	;	PUNCT
alces-146	17	57	marginal	marginal	ADJ
alces-146	17	58	decline	decline	NOUN
alces-146	17	59	in	in	ADP
alces-146	17	60	days	day	NOUN
alces-146	17	61	required	require	VERB
alces-146	17	62	/	/	SYM
alces-146	17	63	successful	successful	ADJ
alces-146	17	64	hunt	hunt	NOUN
alces-146	17	65	:	:	PUNCT
alces-146	17	66	β	β	X
alces-146	17	67	=	=	SYM
alces-146	17	68	−0.295	−0.295	PROPN
alces-146	17	69	,	,	PUNCT
alces-146	17	70	se	se	X
alces-146	17	71	=	=	NOUN
alces-146	17	72	0.164	0.164	NUM
alces-146	17	73	,	,	PUNCT
alces-146	17	74	n	n	NOUN
alces-146	17	75	=	=	NUM
alces-146	17	76	11	11	NUM
alces-146	17	77	,	,	PUNCT
alces-146	17	78	t	t	PROPN
alces-146	17	79	=	=	SYM
alces-146	17	80	−1.8	−1.8	PROPN
alces-146	17	81	,	,	PUNCT
alces-146	17	82	p	p	X
alces-146	17	83	=	=	NOUN
alces-146	17	84	0.102	0.102	NUM
alces-146	17	85	)	)	PUNCT
alces-146	17	86	at	at	ADP
alces-146	17	87	the	the	DET
alces-146	17	88	same	same	ADJ
alces-146	17	89	time	time	NOUN
alces-146	17	90	that	that	PRON
alces-146	17	91	hunter	hunter	NOUN
alces-146	17	92	success	success	NOUN
alces-146	17	93	rate	rate	NOUN
alces-146	17	94	(	(	PUNCT
alces-146	17	95	average	average	ADJ
alces-146	17	96	=	=	SYM
alces-146	17	97	93	93	NUM
alces-146	17	98	%	%	NOUN
alces-146	17	99	)	)	PUNCT
alces-146	17	100	increased	increase	VERB
alces-146	17	101	(	(	PUNCT
alces-146	17	102	β	β	X
alces-146	17	103	=	=	SYM
alces-146	17	104	0.009	0.009	NUM
alces-146	17	105	,	,	PUNCT
alces-146	17	106	se	se	X
alces-146	17	107	=	=	NOUN
alces-146	17	108	0.001	0.001	NUM
alces-146	17	109	,	,	PUNCT
alces-146	17	110	57	57	NUM
alces-146	17	111	n	n	NOUN
alces-146	17	112	=	=	SYM
alces-146	17	113	11	11	NUM
alces-146	17	114	,	,	PUNCT
alces-146	17	115	t	t	PROPN
alces-146	17	116	=	=	SYM
alces-146	17	117	4.27	4.27	NUM
alces-146	17	118	,	,	PUNCT
alces-146	17	119	p	p	X
alces-146	17	120	=	=	NOUN
alces-146	17	121	0.002	0.002	NUM
alces-146	17	122	)	)	PUNCT
alces-146	17	123	.	.	PUNCT
alces-146	18	1	however	however	ADV
alces-146	18	2	,	,	PUNCT
alces-146	18	3	with	with	ADP
alces-146	18	4	the	the	DET
alces-146	18	5	decline	decline	NOUN
alces-146	18	6	of	of	ADP
alces-146	18	7	many	many	ADJ
alces-146	18	8	moose	moose	NOUN
alces-146	18	9	populations	population	NOUN
alces-146	18	10	in	in	ADP
alces-146	18	11	adjacent	adjacent	ADJ
alces-146	18	12	jurisdictions	jurisdiction	NOUN
alces-146	18	13	due	due	ADP
alces-146	18	14	to	to	ADP
alces-146	18	15	forest	forest	NOUN
alces-146	18	16	maturation	maturation	NOUN
alces-146	18	17	,	,	PUNCT
alces-146	18	18	increases	increase	NOUN
alces-146	18	19	in	in	ADP
alces-146	18	20	parasites	parasite	NOUN
alces-146	18	21	,	,	PUNCT
alces-146	18	22	increases	increase	NOUN
alces-146	18	23	in	in	ADP
alces-146	18	24	predators	predator	NOUN
alces-146	18	25	,	,	PUNCT
alces-146	18	26	and	and	CCONJ
alces-146	18	27	the	the	DET
alces-146	18	28	effects	effect	NOUN
alces-146	18	29	of	of	ADP
alces-146	18	30	climate	climate	NOUN
alces-146	18	31	change	change	NOUN
alces-146	18	32	,	,	PUNCT
alces-146	18	33	the	the	DET
alces-146	18	34	status	status	NOUN
alces-146	18	35	of	of	ADP
alces-146	18	36	washington	washington	PROPN
alces-146	18	37	's	's	PART
alces-146	18	38	moose	moose	NOUN
alces-146	18	39	population	population	NOUN
alces-146	18	40	has	have	AUX
alces-146	18	41	elicited	elicit	VERB
alces-146	18	42	increased	increase	VERB
alces-146	18	43	concern	concern	NOUN
alces-146	18	44	among	among	ADP
alces-146	18	45	the	the	DET
alces-146	18	46	public	public	NOUN
alces-146	18	47	.	.	PUNCT
alces-146	19	1	the	the	DET
alces-146	19	2	problem	problem	NOUN
alces-146	19	3	of	of	ADP
alces-146	19	4	estimating	estimate	VERB
alces-146	19	5	abundance	abundance	NOUN
alces-146	19	6	and	and	CCONJ
alces-146	19	7	trends	trend	NOUN
alces-146	19	8	of	of	ADP
alces-146	19	9	moose	moose	NOUN
alces-146	19	10	populations	population	NOUN
alces-146	19	11	has	have	AUX
alces-146	19	12	vexed	vex	VERB
alces-146	19	13	biologists	biologist	NOUN
alces-146	19	14	and	and	CCONJ
alces-146	19	15	managers	manager	NOUN
alces-146	19	16	(	(	PUNCT
alces-146	19	17	e.g.	e.g.	ADV
alces-146	19	18	,	,	PUNCT
alces-146	19	19	gasaway	gasaway	NOUN
alces-146	19	20	et	et	PROPN
alces-146	19	21	al	al	PROPN
alces-146	19	22	.	.	PROPN
alces-146	19	23	1985	1985	NUM
alces-146	19	24	)	)	PUNCT
alces-146	19	25	,	,	PUNCT
alces-146	19	26	just	just	ADV
alces-146	19	27	as	as	ADV
alces-146	19	28	surely	surely	ADV
alces-146	19	29	as	as	SCONJ
alces-146	19	30	the	the	DET
alces-146	19	31	public	public	NOUN
alces-146	19	32	at	at	ADP
alces-146	19	33	large	large	ADJ
alces-146	19	34	–	–	PUNCT
alces-146	19	35	and	and	CCONJ
alces-146	19	36	hunters	hunter	NOUN
alces-146	19	37	in	in	ADP
alces-146	19	38	particular	particular	ADJ
alces-146	19	39	–	–	PUNCT
alces-146	19	40	have	have	AUX
alces-146	19	41	expressed	express	VERB
alces-146	19	42	the	the	DET
alces-146	19	43	expectation	expectation	NOUN
alces-146	19	44	that	that	SCONJ
alces-146	19	45	such	such	ADJ
alces-146	19	46	figures	figure	NOUN
alces-146	19	47	be	be	AUX
alces-146	19	48	available	available	ADJ
alces-146	19	49	.	.	PUNCT
alces-146	20	1	as	as	ADP
alces-146	20	2	an	an	DET
alces-146	20	3	often	often	ADV
alces-146	20	4	solitary	solitary	ADJ
alces-146	20	5	,	,	PUNCT
alces-146	20	6	generally	generally	ADV
alces-146	20	7	forestdwelling	forestdwelle	VERB
alces-146	20	8	and	and	CCONJ
alces-146	20	9	invariable	invariable	ADJ
alces-146	20	10	shy	shy	ADJ
alces-146	20	11	animal	animal	NOUN
alces-146	20	12	that	that	SCONJ
alces-146	20	13	eschews	eschew	VERB
alces-146	20	14	large	large	ADJ
alces-146	20	15	aggregations	aggregation	NOUN
alces-146	20	16	,	,	PUNCT
alces-146	20	17	moose	moose	NOUN
alces-146	20	18	share	share	NOUN
alces-146	20	19	with	with	ADP
alces-146	20	20	white	white	ADJ
alces-146	20	21	-	-	PUNCT
alces-146	20	22	tailed	tail	VERB
alces-146	20	23	deer	deer	NOUN
alces-146	20	24	(	(	PUNCT
alces-146	20	25	odocoileus	odocoileus	ADJ
alces-146	20	26	virginianus	virginianus	PROPN
alces-146	20	27	)	)	PUNCT
alces-146	20	28	characteristics	characteristic	NOUN
alces-146	20	29	that	that	PRON
alces-146	20	30	make	make	VERB
alces-146	20	31	it	it	PRON
alces-146	20	32	among	among	ADP
alces-146	20	33	the	the	DET
alces-146	20	34	more	more	ADV
alces-146	20	35	difficult	difficult	ADJ
alces-146	20	36	of	of	ADP
alces-146	20	37	north	north	ADJ
alces-146	20	38	american	american	ADJ
alces-146	20	39	ungulates	ungulate	NOUN
alces-146	20	40	to	to	PART
alces-146	20	41	survey	survey	VERB
alces-146	20	42	.	.	PUNCT
alces-146	21	1	due	due	ADP
alces-146	21	2	to	to	ADP
alces-146	21	3	the	the	DET
alces-146	21	4	logistical	logistical	ADJ
alces-146	21	5	challenges	challenge	NOUN
alces-146	21	6	of	of	ADP
alces-146	21	7	estimating	estimate	VERB
alces-146	21	8	abundance	abundance	NOUN
alces-146	21	9	over	over	ADP
alces-146	21	10	large	large	ADJ
alces-146	21	11	areas	area	NOUN
alces-146	21	12	,	,	PUNCT
alces-146	21	13	surveys	survey	NOUN
alces-146	21	14	from	from	ADP
alces-146	21	15	fixedor	fixedor	ADJ
alces-146	21	16	rotary	rotary	ADJ
alces-146	21	17	-	-	PUNCT
alces-146	21	18	wing	wing	NOUN
alces-146	21	19	aircraft	aircraft	NOUN
alces-146	21	20	have	have	AUX
alces-146	21	21	become	become	VERB
alces-146	21	22	the	the	DET
alces-146	21	23	staple	staple	NOUN
alces-146	21	24	among	among	ADP
alces-146	21	25	north	north	ADJ
alces-146	21	26	american	american	ADJ
alces-146	21	27	wildlife	wildlife	NOUN
alces-146	21	28	management	management	NOUN
alces-146	21	29	agencies	agency	NOUN
alces-146	21	30	(	(	PUNCT
alces-146	21	31	timmermann	timmermann	VERB
alces-146	21	32	1993	1993	NUM
alces-146	21	33	,	,	PUNCT
alces-146	21	34	although	although	SCONJ
alces-146	21	35	see	see	VERB
alces-146	21	36	rönnegård	rönnegård	PROPN
alces-146	21	37	et	et	PROPN
alces-146	21	38	al	al	PROPN
alces-146	21	39	.	.	PROPN
alces-146	21	40	2008	2008	NUM
alces-146	21	41	,	,	PUNCT
alces-146	21	42	månsson	månsson	PROPN
alces-146	21	43	et	et	PROPN
alces-146	21	44	al	al	PROPN
alces-146	21	45	.	.	PROPN
alces-146	21	46	2011	2011	NUM
alces-146	21	47	,	,	PUNCT
alces-146	21	48	and	and	CCONJ
alces-146	21	49	boyce	boyce	PROPN
alces-146	21	50	et	et	PROPN
alces-146	21	51	al	al	PROPN
alces-146	21	52	.	.	PROPN
alces-146	21	53	2012	2012	NUM
alces-146	21	54	for	for	ADP
alces-146	21	55	alternatives	alternative	NOUN
alces-146	21	56	to	to	ADP
alces-146	21	57	aerial	aerial	ADJ
alces-146	21	58	survey	survey	NOUN
alces-146	21	59	)	)	PUNCT
alces-146	21	60	.	.	PUNCT
alces-146	22	1	but	but	CCONJ
alces-146	22	2	,	,	PUNCT
alces-146	22	3	it	it	PRON
alces-146	22	4	has	have	AUX
alces-146	22	5	long	long	ADV
alces-146	22	6	been	be	AUX
alces-146	22	7	recognized	recognize	VERB
alces-146	22	8	that	that	SCONJ
alces-146	22	9	even	even	ADV
alces-146	22	10	raw	raw	ADJ
alces-146	22	11	counts	count	NOUN
alces-146	22	12	of	of	ADP
alces-146	22	13	animals	animal	NOUN
alces-146	22	14	from	from	ADP
alces-146	22	15	aerial	aerial	ADJ
alces-146	22	16	surveys	survey	NOUN
alces-146	22	17	are	be	AUX
alces-146	22	18	often	often	ADV
alces-146	22	19	insufficient	insufficient	ADJ
alces-146	22	20	to	to	PART
alces-146	22	21	estimate	estimate	VERB
alces-146	22	22	either	either	CCONJ
alces-146	22	23	abundance	abundance	NOUN
alces-146	22	24	or	or	CCONJ
alces-146	22	25	trends	trend	NOUN
alces-146	22	26	.	.	PUNCT
alces-146	23	1	among	among	ADP
alces-146	23	2	approaches	approach	NOUN
alces-146	23	3	used	use	VERB
alces-146	23	4	to	to	PART
alces-146	23	5	move	move	VERB
alces-146	23	6	from	from	ADP
alces-146	23	7	raw	raw	ADJ
alces-146	23	8	index	index	NOUN
alces-146	23	9	counts	count	NOUN
alces-146	23	10	of	of	ADP
alces-146	23	11	moose	moose	NOUN
alces-146	23	12	to	to	ADP
alces-146	23	13	population	population	NOUN
alces-146	23	14	estimates	estimate	NOUN
alces-146	23	15	are	be	AUX
alces-146	23	16	double	double	ADJ
alces-146	23	17	-	-	PUNCT
alces-146	23	18	sampling	sample	VERB
alces-146	23	19	(	(	PUNCT
alces-146	23	20	gasaway	gasaway	NOUN
alces-146	23	21	et	et	PROPN
alces-146	23	22	al	al	PROPN
alces-146	23	23	.	.	PROPN
alces-146	23	24	1986	1986	NUM
alces-146	23	25	)	)	PUNCT
alces-146	23	26	,	,	PUNCT
alces-146	23	27	conventional	conventional	ADJ
alces-146	23	28	distance	distance	NOUN
alces-146	23	29	sampling	sampling	NOUN
alces-146	23	30	(	(	PUNCT
alces-146	23	31	dalton	dalton	PROPN
alces-146	23	32	1990	1990	NUM
alces-146	23	33	)	)	PUNCT
alces-146	23	34	,	,	PUNCT
alces-146	23	35	sightability	sightability	NOUN
alces-146	23	36	models	model	NOUN
alces-146	23	37	(	(	PUNCT
alces-146	23	38	i.e.	i.e.	X
alces-146	23	39	,	,	PUNCT
alces-146	23	40	logistic	logistic	ADJ
alces-146	23	41	regression	regression	NOUN
alces-146	23	42	based	base	VERB
alces-146	23	43	upon	upon	SCONJ
alces-146	23	44	detectability	detectability	NOUN
alces-146	23	45	of	of	ADP
alces-146	23	46	marked	mark	VERB
alces-146	23	47	animals	animal	NOUN
alces-146	23	48	;	;	PUNCT
alces-146	23	49	anderson	anderson	PROPN
alces-146	23	50	and	and	CCONJ
alces-146	23	51	lindzey	lindzey	PROPN
alces-146	23	52	1996	1996	NUM
alces-146	23	53	,	,	PUNCT
alces-146	23	54	drummer	drummer	NOUN
alces-146	23	55	and	and	CCONJ
alces-146	23	56	aho	aho	PROPN
alces-146	23	57	1998	1998	NUM
alces-146	23	58	,	,	PUNCT
alces-146	23	59	quayle	quayle	PROPN
alces-146	23	60	et	et	PROPN
alces-146	23	61	al	al	PROPN
alces-146	23	62	.	.	PROPN
alces-146	23	63	2001	2001	NUM
alces-146	23	64	,	,	PUNCT
alces-146	23	65	guidice	guidice	PROPN
alces-146	23	66	et	et	PROPN
alces-146	23	67	al	al	PROPN
alces-146	23	68	.	.	PROPN
alces-146	23	69	2012	2012	NUM
alces-146	23	70	)	)	PUNCT
alces-146	23	71	,	,	PUNCT
alces-146	23	72	application	application	NOUN
alces-146	23	73	of	of	ADP
alces-146	23	74	infra	infra	NOUN
alces-146	23	75	-	-	PUNCT
alces-146	23	76	red	red	ADJ
alces-146	23	77	thermal	thermal	ADJ
alces-146	23	78	imagery	imagery	NOUN
alces-146	23	79	to	to	ADP
alces-146	23	80	doubly	doubly	ADV
alces-146	23	81	-	-	PUNCT
alces-146	23	82	sampled	sample	VERB
alces-146	23	83	units	unit	NOUN
alces-146	23	84	(	(	PUNCT
alces-146	23	85	bontaites	bontaite	NOUN
alces-146	23	86	et	et	PROPN
alces-146	23	87	al	al	PROPN
alces-146	23	88	.	.	PROPN
alces-146	23	89	2000	2000	NUM
alces-146	23	90	)	)	PUNCT
alces-146	23	91	,	,	PUNCT
alces-146	23	92	mark	mark	NOUN
alces-146	23	93	-	-	PUNCT
alces-146	23	94	recapture	recapture	NOUN
alces-146	23	95	distance	distance	NOUN
alces-146	23	96	sampling	sampling	NOUN
alces-146	23	97	(	(	PUNCT
alces-146	23	98	nielson	nielson	PROPN
alces-146	23	99	et	et	PROPN
alces-146	23	100	al	al	PROPN
alces-146	23	101	.	.	PROPN
alces-146	23	102	2006	2006	NUM
alces-146	23	103	)	)	PUNCT
alces-146	23	104	,	,	PUNCT
alces-146	23	105	and	and	CCONJ
alces-146	23	106	independent	independent	ADJ
alces-146	23	107	double	double	ADJ
alces-146	23	108	-	-	PUNCT
alces-146	23	109	observer	observer	NOUN
alces-146	23	110	surveys	survey	NOUN
alces-146	23	111	(	(	PUNCT
alces-146	23	112	cumberland	cumberland	NOUN
alces-146	23	113	2012	2012	NUM
alces-146	23	114	)	)	PUNCT
alces-146	23	115	.	.	PUNCT
alces-146	24	1	since	since	SCONJ
alces-146	24	2	2002	2002	NUM
alces-146	24	3	,	,	PUNCT
alces-146	24	4	the	the	DET
alces-146	24	5	washington	washington	PROPN
alces-146	24	6	department	department	PROPN
alces-146	24	7	of	of	ADP
alces-146	24	8	fish	fish	NOUN
alces-146	24	9	and	and	CCONJ
alces-146	24	10	wildlife	wildlife	NOUN
alces-146	24	11	(	(	PUNCT
alces-146	24	12	wdfw	wdfw	PROPN
alces-146	24	13	)	)	PUNCT
alces-146	24	14	has	have	AUX
alces-146	24	15	conducted	conduct	VERB
alces-146	24	16	standardized	standardized	ADJ
alces-146	24	17	moose	moose	NOUN
alces-146	24	18	surveys	survey	NOUN
alces-146	24	19	from	from	ADP
alces-146	24	20	helicopters	helicopter	NOUN
alces-146	24	21	in	in	ADP
alces-146	24	22	both	both	CCONJ
alces-146	24	23	the	the	DET
alces-146	24	24	colville	colville	PROPN
alces-146	24	25	and	and	CCONJ
alces-146	24	26	spokane	spokane	PROPN
alces-146	24	27	districts	district	NOUN
alces-146	24	28	to	to	PART
alces-146	24	29	produce	produce	VERB
alces-146	24	30	indices	index	NOUN
alces-146	24	31	of	of	ADP
alces-146	24	32	population	population	NOUN
alces-146	24	33	abundance	abundance	NOUN
alces-146	24	34	.	.	PUNCT
alces-146	25	1	although	although	SCONJ
alces-146	25	2	referenced	reference	VERB
alces-146	25	3	when	when	SCONJ
alces-146	25	4	devising	devise	VERB
alces-146	25	5	hunting	hunt	VERB
alces-146	25	6	seasons	season	NOUN
alces-146	25	7	and	and	CCONJ
alces-146	25	8	harvest	harvest	NOUN
alces-146	25	9	limits	limit	NOUN
alces-146	25	10	,	,	PUNCT
alces-146	25	11	these	these	DET
alces-146	25	12	surveys	survey	NOUN
alces-146	25	13	have	have	AUX
alces-146	25	14	not	not	PART
alces-146	25	15	been	be	AUX
alces-146	25	16	used	use	VERB
alces-146	25	17	to	to	PART
alces-146	25	18	estimate	estimate	VERB
alces-146	25	19	abundance	abundance	NOUN
alces-146	25	20	.	.	PUNCT
alces-146	26	1	rather	rather	ADV
alces-146	26	2	,	,	PUNCT
alces-146	26	3	management	management	NOUN
alces-146	26	4	has	have	AUX
alces-146	26	5	been	be	AUX
alces-146	26	6	based	base	VERB
alces-146	26	7	on	on	ADP
alces-146	26	8	informal	informal	ADJ
alces-146	26	9	evaluation	evaluation	NOUN
alces-146	26	10	of	of	ADP
alces-146	26	11	these	these	DET
alces-146	26	12	surveys	survey	NOUN
alces-146	26	13	in	in	ADP
alces-146	26	14	combination	combination	NOUN
alces-146	26	15	with	with	ADP
alces-146	26	16	hunting	hunt	VERB
alces-146	26	17	statistics	statistic	NOUN
alces-146	26	18	,	,	PUNCT
alces-146	26	19	implicitly	implicitly	ADV
alces-146	26	20	assuming	assume	VERB
alces-146	26	21	that	that	SCONJ
alces-146	26	22	these	these	DET
alces-146	26	23	indices	index	NOUN
alces-146	26	24	track	track	VERB
alces-146	26	25	population	population	NOUN
alces-146	26	26	abundance	abundance	NOUN
alces-146	26	27	.	.	PUNCT
alces-146	27	1	over	over	ADP
alces-146	27	2	the	the	DET
alces-146	27	3	years	year	NOUN
alces-146	27	4	,	,	PUNCT
alces-146	27	5	the	the	DET
alces-146	27	6	number	number	NOUN
alces-146	27	7	and	and	CCONJ
alces-146	27	8	distribution	distribution	NOUN
alces-146	27	9	of	of	ADP
alces-146	27	10	survey	survey	NOUN
alces-146	27	11	units	unit	NOUN
alces-146	27	12	flown	fly	VERB
alces-146	27	13	has	have	AUX
alces-146	27	14	varied	vary	VERB
alces-146	27	15	,	,	PUNCT
alces-146	27	16	as	as	SCONJ
alces-146	27	17	have	have	VERB
alces-146	27	18	biological	biological	ADJ
alces-146	27	19	and	and	CCONJ
alces-146	27	20	environmental	environmental	ADJ
alces-146	27	21	attributes	attribute	NOUN
alces-146	27	22	(	(	PUNCT
alces-146	27	23	documented	document	VERB
alces-146	27	24	elsewhere	elsewhere	ADV
alces-146	27	25	)	)	PUNCT
alces-146	27	26	that	that	PRON
alces-146	27	27	influence	influence	VERB
alces-146	27	28	detection	detection	NOUN
alces-146	27	29	probability	probability	NOUN
alces-146	27	30	.	.	PUNCT
alces-146	28	1	in	in	ADP
alces-146	28	2	short	short	ADJ
alces-146	28	3	,	,	PUNCT
alces-146	28	4	understanding	understand	VERB
alces-146	28	5	the	the	DET
alces-146	28	6	various	various	ADJ
alces-146	28	7	environmental	environmental	ADJ
alces-146	28	8	factors	factor	NOUN
alces-146	28	9	that	that	PRON
alces-146	28	10	interfere	interfere	VERB
alces-146	28	11	with	with	ADP
alces-146	28	12	a	a	DET
alces-146	28	13	simple	simple	ADJ
alces-146	28	14	equating	equating	NOUN
alces-146	28	15	of	of	ADP
alces-146	28	16	animals	animal	NOUN
alces-146	28	17	observed	observe	VERB
alces-146	28	18	to	to	ADP
alces-146	28	19	animals	animal	NOUN
alces-146	28	20	present	present	ADJ
alces-146	28	21	has	have	AUX
alces-146	28	22	become	become	VERB
alces-146	28	23	indispensable	indispensable	ADJ
alces-146	28	24	to	to	ADP
alces-146	28	25	our	our	PRON
alces-146	28	26	understanding	understanding	NOUN
alces-146	28	27	of	of	ADP
alces-146	28	28	the	the	DET
alces-146	28	29	count	count	NOUN
alces-146	28	30	data	datum	NOUN
alces-146	28	31	.	.	PUNCT
alces-146	29	1	sightability	sightability	NOUN
alces-146	29	2	models	model	NOUN
alces-146	29	3	(	(	PUNCT
alces-146	29	4	samuel	samuel	NOUN
alces-146	29	5	and	and	CCONJ
alces-146	29	6	pollock	pollock	NOUN
alces-146	29	7	1981	1981	NUM
alces-146	29	8	)	)	PUNCT
alces-146	29	9	have	have	AUX
alces-146	29	10	been	be	AUX
alces-146	29	11	used	use	VERB
alces-146	29	12	for	for	ADP
alces-146	29	13	a	a	DET
alces-146	29	14	variety	variety	NOUN
alces-146	29	15	of	of	ADP
alces-146	29	16	hunted	hunt	VERB
alces-146	29	17	ungulate	ungulate	ADJ
alces-146	29	18	species	specie	NOUN
alces-146	29	19	in	in	ADP
alces-146	29	20	western	western	ADJ
alces-146	29	21	north	north	PROPN
alces-146	29	22	america	america	PROPN
alces-146	29	23	(	(	PUNCT
alces-146	29	24	e.g.	e.g.	ADV
alces-146	29	25	,	,	PUNCT
alces-146	29	26	elk	elk	PROPN
alces-146	29	27	[	[	X
alces-146	29	28	cervus	cervu	NOUN
alces-146	29	29	elaphus	elaphu	NOUN
alces-146	29	30	;	;	PUNCT
alces-146	29	31	samuel	samuel	PROPN
alces-146	29	32	et	et	PROPN
alces-146	29	33	al	al	PROPN
alces-146	29	34	.	.	PROPN
alces-146	29	35	1987	1987	NUM
alces-146	29	36	,	,	PUNCT
alces-146	29	37	gilbert	gilbert	PROPN
alces-146	29	38	and	and	CCONJ
alces-146	29	39	moeller	moeller	PROPN
alces-146	29	40	2008	2008	NUM
alces-146	29	41	]	]	PUNCT
alces-146	29	42	and	and	CCONJ
alces-146	29	43	mule	mule	ADJ
alces-146	29	44	deer	deer	NOUN
alces-146	30	1	[	[	X
alces-146	30	2	odocoileus	odocoileus	ADJ
alces-146	30	3	hemionus	hemionus	NOUN
alces-146	30	4	;	;	PUNCT
alces-146	30	5	ackerman	ackerman	NOUN
alces-146	30	6	1988	1988	NUM
alces-146	30	7	]	]	PUNCT
alces-146	30	8	)	)	PUNCT
alces-146	30	9	,	,	PUNCT
alces-146	30	10	and	and	CCONJ
alces-146	30	11	have	have	AUX
alces-146	30	12	been	be	AUX
alces-146	30	13	the	the	DET
alces-146	30	14	focus	focus	NOUN
alces-146	30	15	of	of	ADP
alces-146	30	16	considerable	considerable	ADJ
alces-146	30	17	efforts	effort	NOUN
alces-146	30	18	by	by	ADP
alces-146	30	19	wdfw	wdfw	NOUN
alces-146	30	20	(	(	PUNCT
alces-146	30	21	mccorquodale	mccorquodale	NOUN
alces-146	30	22	2001	2001	NUM
alces-146	30	23	,	,	PUNCT
alces-146	30	24	rice	rice	NOUN
alces-146	30	25	et	et	PROPN
alces-146	30	26	al	al	PROPN
alces-146	30	27	.	.	PROPN
alces-146	30	28	2009	2009	NUM
alces-146	30	29	)	)	PUNCT
alces-146	30	30	.	.	PUNCT
alces-146	31	1	biologists	biologist	NOUN
alces-146	31	2	in	in	ADP
alces-146	31	3	the	the	DET
alces-146	31	4	wdfw	wdfw	PROPN
alces-146	31	5	spokane	spokane	PROPN
alces-146	31	6	district	district	PROPN
alces-146	31	7	have	have	AUX
alces-146	31	8	gathered	gather	VERB
alces-146	31	9	physical	physical	ADJ
alces-146	31	10	attribute	attribute	NOUN
alces-146	31	11	data	datum	NOUN
alces-146	31	12	commonly	commonly	ADV
alces-146	31	13	assumed	assume	VERB
alces-146	31	14	to	to	PART
alces-146	31	15	affect	affect	VERB
alces-146	31	16	detection	detection	NOUN
alces-146	31	17	of	of	ADP
alces-146	31	18	moose	moose	NOUN
alces-146	31	19	.	.	PUNCT
alces-146	32	1	although	although	SCONJ
alces-146	32	2	not	not	PART
alces-146	32	3	collected	collect	VERB
alces-146	32	4	for	for	ADP
alces-146	32	5	application	application	NOUN
alces-146	32	6	to	to	ADP
alces-146	32	7	a	a	DET
alces-146	32	8	specific	specific	ADJ
alces-146	32	9	sightability	sightability	NOUN
alces-146	32	10	model	model	NOUN
alces-146	32	11	,	,	PUNCT
alces-146	32	12	these	these	DET
alces-146	32	13	covariate	covariate	ADJ
alces-146	32	14	data	datum	NOUN
alces-146	32	15	allowed	allow	VERB
alces-146	32	16	us	we	PRON
alces-146	32	17	to	to	PART
alces-146	32	18	apply	apply	VERB
alces-146	32	19	existing	exist	VERB
alces-146	32	20	sightability	sightability	NOUN
alces-146	32	21	models	model	NOUN
alces-146	32	22	retrospectively	retrospectively	ADV
alces-146	32	23	.	.	PUNCT
alces-146	33	1	a	a	DET
alces-146	33	2	number	number	NOUN
alces-146	33	3	of	of	ADP
alces-146	33	4	situation	situation	NOUN
alces-146	33	5	-	-	PUNCT
alces-146	33	6	specific	specific	ADJ
alces-146	33	7	sightability	sightability	NOUN
alces-146	33	8	models	model	NOUN
alces-146	33	9	for	for	ADP
alces-146	33	10	moose	moose	NOUN
alces-146	33	11	have	have	AUX
alces-146	33	12	been	be	AUX
alces-146	33	13	developed	develop	VERB
alces-146	33	14	,	,	PUNCT
alces-146	33	15	including	include	VERB
alces-146	33	16	those	those	PRON
alces-146	33	17	in	in	ADP
alces-146	33	18	wyoming	wyoming	PROPN
alces-146	33	19	(	(	PUNCT
alces-146	33	20	anderson	anderson	PROPN
alces-146	33	21	and	and	CCONJ
alces-146	33	22	lindzey	lindzey	PROPN
alces-146	33	23	1996	1996	NUM
alces-146	33	24	)	)	PUNCT
alces-146	33	25	,	,	PUNCT
alces-146	33	26	michigan	michigan	PROPN
alces-146	33	27	(	(	PUNCT
alces-146	33	28	drummer	drummer	NOUN
alces-146	33	29	and	and	CCONJ
alces-146	33	30	aho	aho	PROPN
alces-146	33	31	1998	1998	NUM
alces-146	33	32	)	)	PUNCT
alces-146	33	33	,	,	PUNCT
alces-146	33	34	british	british	PROPN
alces-146	33	35	columbia	columbia	PROPN
alces-146	33	36	(	(	PUNCT
alces-146	33	37	quayle	quayle	PROPN
alces-146	33	38	et	et	PROPN
alces-146	33	39	al	al	PROPN
alces-146	33	40	.	.	PROPN
alces-146	33	41	2001	2001	NUM
alces-146	33	42	)	)	PUNCT
alces-146	33	43	,	,	PUNCT
alces-146	33	44	alberta	alberta	PROPN
alces-146	33	45	(	(	PUNCT
alces-146	33	46	peters	peters	PROPN
alces-146	33	47	2010	2010	NUM
alces-146	33	48	)	)	PUNCT
alces-146	33	49	,	,	PUNCT
alces-146	33	50	interior	interior	ADJ
alces-146	33	51	alaska	alaska	PROPN
alces-146	33	52	(	(	PUNCT
alces-146	33	53	christ	christ	PROPN
alces-146	33	54	2011	2011	NUM
alces-146	33	55	)	)	PUNCT
alces-146	33	56	,	,	PUNCT
alces-146	33	57	minnesota	minnesota	PROPN
alces-146	33	58	(	(	PUNCT
alces-146	33	59	guidice	guidice	PROPN
alces-146	33	60	et	et	PROPN
alces-146	33	61	al	al	PROPN
alces-146	33	62	.	.	PROPN
alces-146	33	63	2012	2012	NUM
alces-146	33	64	)	)	PUNCT
alces-146	33	65	,	,	PUNCT
alces-146	33	66	and	and	CCONJ
alces-146	33	67	coastal	coastal	ADJ
alces-146	33	68	alaska	alaska	PROPN
alces-146	33	69	(	(	PUNCT
alces-146	33	70	oehlers	oehler	NOUN
alces-146	33	71	et	et	PROPN
alces-146	33	72	al	al	PROPN
alces-146	33	73	.	.	PROPN
alces-146	33	74	58	58	NUM
alces-146	33	75	estimating	estimate	VERB
alces-146	33	76	moose	moose	NOUN
alces-146	33	77	abundance	abundance	NOUN
alces-146	33	78	–	–	PUNCT
alces-146	33	79	harris	harris	PROPN
alces-146	33	80	et	et	PROPN
alces-146	33	81	al	al	PROPN
alces-146	33	82	.	.	PROPN
alces-146	34	1	alces	alce	NOUN
alces-146	34	2	vol	vol	NOUN
alces-146	34	3	.	.	PROPN
alces-146	34	4	51	51	NUM
alces-146	34	5	,	,	PUNCT
alces-146	34	6	2015	2015	NUM
alces-146	34	7	2012	2012	NUM
alces-146	34	8	)	)	PUNCT
alces-146	34	9	.	.	PUNCT
alces-146	35	1	although	although	SCONJ
alces-146	35	2	differing	differ	VERB
alces-146	35	3	in	in	ADP
alces-146	35	4	details	detail	NOUN
alces-146	35	5	,	,	PUNCT
alces-146	35	6	these	these	DET
alces-146	35	7	models	model	NOUN
alces-146	35	8	are	be	AUX
alces-146	35	9	all	all	ADV
alces-146	35	10	notable	notable	ADJ
alces-146	35	11	in	in	ADP
alces-146	35	12	their	their	PRON
alces-146	35	13	common	common	ADJ
alces-146	35	14	finding	finding	NOUN
alces-146	35	15	that	that	SCONJ
alces-146	35	16	vegetative	vegetative	ADJ
alces-146	35	17	cover	cover	NOUN
alces-146	35	18	(	(	PUNCT
alces-146	35	19	typically	typically	ADV
alces-146	35	20	,	,	PUNCT
alces-146	35	21	coniferous	coniferous	ADJ
alces-146	35	22	forest	forest	NOUN
alces-146	35	23	)	)	PUNCT
alces-146	35	24	was	be	AUX
alces-146	35	25	the	the	DET
alces-146	35	26	most	most	ADV
alces-146	35	27	important	important	ADJ
alces-146	35	28	,	,	PUNCT
alces-146	35	29	and	and	CCONJ
alces-146	35	30	in	in	ADP
alces-146	35	31	some	some	DET
alces-146	35	32	cases	case	NOUN
alces-146	35	33	,	,	PUNCT
alces-146	35	34	the	the	DET
alces-146	35	35	only	only	ADJ
alces-146	35	36	covariate	covariate	ADJ
alces-146	35	37	affecting	affect	VERB
alces-146	35	38	detection	detection	NOUN
alces-146	35	39	probability	probability	NOUN
alces-146	35	40	of	of	ADP
alces-146	35	41	moose	moose	NOUN
alces-146	35	42	groups	group	NOUN
alces-146	35	43	.	.	PUNCT
alces-146	36	1	other	other	ADJ
alces-146	36	2	putative	putative	ADJ
alces-146	36	3	variables	variable	NOUN
alces-146	36	4	bearing	bear	VERB
alces-146	36	5	on	on	ADP
alces-146	36	6	detection	detection	NOUN
alces-146	36	7	probability	probability	NOUN
alces-146	36	8	(	(	PUNCT
alces-146	36	9	e.g.	e.g.	ADV
alces-146	36	10	,	,	PUNCT
alces-146	36	11	snow	snow	NOUN
alces-146	36	12	cover	cover	NOUN
alces-146	36	13	,	,	PUNCT
alces-146	36	14	group	group	NOUN
alces-146	36	15	size	size	NOUN
alces-146	36	16	,	,	PUNCT
alces-146	36	17	weather	weather	NOUN
alces-146	36	18	conditions	condition	NOUN
alces-146	36	19	,	,	PUNCT
alces-146	36	20	individual	individual	ADJ
alces-146	36	21	observers	observer	NOUN
alces-146	36	22	)	)	PUNCT
alces-146	36	23	were	be	AUX
alces-146	36	24	generally	generally	ADV
alces-146	36	25	unimportant	unimportant	ADJ
alces-146	36	26	.	.	PUNCT
alces-146	37	1	thus	thus	ADV
alces-146	37	2	,	,	PUNCT
alces-146	37	3	we	we	PRON
alces-146	37	4	were	be	AUX
alces-146	37	5	motivated	motivate	VERB
alces-146	37	6	by	by	ADP
alces-146	37	7	the	the	DET
alces-146	37	8	following	following	ADJ
alces-146	37	9	notion	notion	NOUN
alces-146	37	10	:	:	PUNCT
alces-146	37	11	given	give	VERB
alces-146	37	12	the	the	DET
alces-146	37	13	similarity	similarity	NOUN
alces-146	37	14	of	of	ADP
alces-146	37	15	covariates	covariate	NOUN
alces-146	37	16	shown	show	VERB
alces-146	37	17	to	to	PART
alces-146	37	18	be	be	AUX
alces-146	37	19	predictive	predictive	ADJ
alces-146	37	20	of	of	ADP
alces-146	37	21	detection	detection	NOUN
alces-146	37	22	in	in	ADP
alces-146	37	23	sightability	sightability	NOUN
alces-146	37	24	models	model	NOUN
alces-146	37	25	,	,	PUNCT
alces-146	37	26	might	might	AUX
alces-146	37	27	it	it	PRON
alces-146	37	28	be	be	AUX
alces-146	37	29	the	the	DET
alces-146	37	30	case	case	NOUN
alces-146	37	31	that	that	SCONJ
alces-146	37	32	“	"	PUNCT
alces-146	37	33	moose	moose	NOUN
alces-146	37	34	detectability	detectability	NOUN
alces-146	37	35	”	"	PUNCT
alces-146	37	36	is	be	AUX
alces-146	37	37	a	a	DET
alces-146	37	38	general	general	ADJ
alces-146	37	39	-	-	PUNCT
alces-146	37	40	enough	enough	ADJ
alces-146	37	41	phenomenon	phenomenon	NOUN
alces-146	37	42	that	that	SCONJ
alces-146	37	43	existing	exist	VERB
alces-146	37	44	models	model	NOUN
alces-146	37	45	can	can	AUX
alces-146	37	46	be	be	AUX
alces-146	37	47	applied	apply	VERB
alces-146	37	48	in	in	ADP
alces-146	37	49	northeastern	northeastern	ADJ
alces-146	37	50	washington	washington	PROPN
alces-146	37	51	to	to	PART
alces-146	37	52	estimate	estimate	VERB
alces-146	37	53	abundance	abundance	NOUN
alces-146	37	54	,	,	PUNCT
alces-146	37	55	obviating	obviate	VERB
alces-146	37	56	the	the	DET
alces-146	37	57	need	need	NOUN
alces-146	37	58	to	to	PART
alces-146	37	59	develop	develop	VERB
alces-146	37	60	a	a	DET
alces-146	37	61	local	local	ADJ
alces-146	37	62	model	model	NOUN
alces-146	37	63	?	?	PUNCT
alces-146	38	1	we	we	PRON
alces-146	38	2	did	do	AUX
alces-146	38	3	not	not	PART
alces-146	38	4	attempt	attempt	VERB
alces-146	38	5	to	to	PART
alces-146	38	6	validate	validate	VERB
alces-146	38	7	or	or	CCONJ
alces-146	38	8	recalibrate	recalibrate	VERB
alces-146	38	9	any	any	DET
alces-146	38	10	one	one	NUM
alces-146	38	11	model	model	NOUN
alces-146	38	12	,	,	PUNCT
alces-146	38	13	but	but	CCONJ
alces-146	38	14	reasoned	reason	VERB
alces-146	38	15	that	that	SCONJ
alces-146	38	16	a	a	DET
alces-146	38	17	first	first	ADJ
alces-146	38	18	approximation	approximation	NOUN
alces-146	38	19	to	to	ADP
alces-146	38	20	answering	answer	VERB
alces-146	38	21	the	the	DET
alces-146	38	22	question	question	NOUN
alces-146	38	23	of	of	ADP
alces-146	38	24	generalizability	generalizability	NOUN
alces-146	38	25	would	would	AUX
alces-146	38	26	result	result	VERB
alces-146	38	27	from	from	ADP
alces-146	38	28	comparing	compare	VERB
alces-146	38	29	the	the	DET
alces-146	38	30	performance	performance	NOUN
alces-146	38	31	of	of	ADP
alces-146	38	32	alternative	alternative	ADJ
alces-146	38	33	models	model	NOUN
alces-146	38	34	on	on	ADP
alces-146	38	35	an	an	DET
alces-146	38	36	identical	identical	ADJ
alces-146	38	37	data	data	NOUN
alces-146	38	38	set	set	VERB
alces-146	38	39	.	.	PUNCT
alces-146	39	1	if	if	SCONJ
alces-146	39	2	they	they	PRON
alces-146	39	3	generated	generate	VERB
alces-146	39	4	similar	similar	ADJ
alces-146	39	5	results	result	NOUN
alces-146	39	6	,	,	PUNCT
alces-146	39	7	this	this	PRON
alces-146	39	8	would	would	AUX
alces-146	39	9	suggest	suggest	VERB
alces-146	39	10	that	that	SCONJ
alces-146	39	11	the	the	DET
alces-146	39	12	probability	probability	NOUN
alces-146	39	13	of	of	ADP
alces-146	39	14	moose	moose	NOUN
alces-146	39	15	detection	detection	NOUN
alces-146	39	16	is	be	AUX
alces-146	39	17	a	a	DET
alces-146	39	18	generalizable	generalizable	ADJ
alces-146	39	19	phenomenon	phenomenon	NOUN
alces-146	39	20	.	.	PUNCT
alces-146	40	1	if	if	SCONJ
alces-146	40	2	results	result	NOUN
alces-146	40	3	diverged	diverge	VERB
alces-146	40	4	widely	widely	ADV
alces-146	40	5	,	,	PUNCT
alces-146	40	6	it	it	PRON
alces-146	40	7	would	would	AUX
alces-146	40	8	suggest	suggest	VERB
alces-146	40	9	that	that	SCONJ
alces-146	40	10	moose	moose	NOUN
alces-146	40	11	detection	detection	NOUN
alces-146	40	12	is	be	AUX
alces-146	40	13	situationspecific	situationspecific	ADJ
alces-146	40	14	,	,	PUNCT
alces-146	40	15	and	and	CCONJ
alces-146	40	16	that	that	SCONJ
alces-146	40	17	a	a	DET
alces-146	40	18	novel	novel	ADJ
alces-146	40	19	sightability	sightability	NOUN
alces-146	40	20	model	model	NOUN
alces-146	40	21	would	would	AUX
alces-146	40	22	be	be	AUX
alces-146	40	23	required	require	VERB
alces-146	40	24	for	for	ADP
alces-146	40	25	site	site	NOUN
alces-146	40	26	-	-	PUNCT
alces-146	40	27	specific	specific	ADJ
alces-146	40	28	and	and	CCONJ
alces-146	40	29	survey	survey	NOUN
alces-146	40	30	-	-	PUNCT
alces-146	40	31	specific	specific	ADJ
alces-146	40	32	data	datum	NOUN
alces-146	40	33	.	.	PUNCT
alces-146	41	1	additionally	additionally	ADV
alces-146	41	2	,	,	PUNCT
alces-146	41	3	if	if	SCONJ
alces-146	41	4	our	our	PRON
alces-146	41	5	analysis	analysis	NOUN
alces-146	41	6	suggested	suggest	VERB
alces-146	41	7	that	that	SCONJ
alces-146	41	8	adopting	adopt	VERB
alces-146	41	9	an	an	DET
alces-146	41	10	existing	exist	VERB
alces-146	41	11	sightability	sightability	NOUN
alces-146	41	12	model	model	NOUN
alces-146	41	13	in	in	ADP
alces-146	41	14	eastern	eastern	PROPN
alces-146	41	15	washington	washington	PROPN
alces-146	41	16	was	be	AUX
alces-146	41	17	unwarranted	unwarranted	ADJ
alces-146	41	18	,	,	PUNCT
alces-146	41	19	we	we	PRON
alces-146	41	20	wondered	wonder	VERB
alces-146	41	21	if	if	SCONJ
alces-146	41	22	covariate	covariate	ADJ
alces-146	41	23	data	datum	NOUN
alces-146	41	24	could	could	AUX
alces-146	41	25	refine	refine	VERB
alces-146	41	26	our	our	PRON
alces-146	41	27	estimates	estimate	NOUN
alces-146	41	28	of	of	ADP
alces-146	41	29	population	population	NOUN
alces-146	41	30	trend	trend	NOUN
alces-146	41	31	.	.	PUNCT
alces-146	42	1	methods	method	NOUN
alces-146	42	2	aerial	aerial	ADJ
alces-146	42	3	winter	winter	NOUN
alces-146	42	4	surveys	survey	NOUN
alces-146	42	5	(	(	PUNCT
alces-146	42	6	decemberfebruary	decemberfebruary	NOUN
alces-146	42	7	)	)	PUNCT
alces-146	42	8	of	of	ADP
alces-146	42	9	moose	moose	NOUN
alces-146	42	10	using	use	VERB
alces-146	42	11	a	a	DET
alces-146	42	12	helicopter	helicopter	NOUN
alces-146	42	13	have	have	AUX
alces-146	42	14	been	be	AUX
alces-146	42	15	conducted	conduct	VERB
alces-146	42	16	annually	annually	ADV
alces-146	42	17	by	by	ADP
alces-146	42	18	wdfw	wdfw	ADJ
alces-146	42	19	staff	staff	NOUN
alces-146	42	20	in	in	ADP
alces-146	42	21	the	the	DET
alces-146	42	22	spokane	spokane	PROPN
alces-146	42	23	district	district	NOUN
alces-146	42	24	since	since	SCONJ
alces-146	42	25	2002	2002	NUM
alces-146	42	26	.	.	PUNCT
alces-146	43	1	these	these	DET
alces-146	43	2	surveys	survey	NOUN
alces-146	43	3	were	be	AUX
alces-146	43	4	not	not	PART
alces-146	43	5	designed	design	VERB
alces-146	43	6	to	to	PART
alces-146	43	7	generate	generate	VERB
alces-146	43	8	population	population	NOUN
alces-146	43	9	estimates	estimate	NOUN
alces-146	43	10	,	,	PUNCT
alces-146	43	11	but	but	CCONJ
alces-146	43	12	rather	rather	ADV
alces-146	43	13	were	be	AUX
alces-146	43	14	considered	consider	VERB
alces-146	43	15	as	as	ADP
alces-146	43	16	index	index	NOUN
alces-146	43	17	counts	count	NOUN
alces-146	43	18	that	that	PRON
alces-146	43	19	correlated	correlate	VERB
alces-146	43	20	positively	positively	ADV
alces-146	43	21	with	with	ADP
alces-146	43	22	true	true	ADJ
alces-146	43	23	abundance	abundance	NOUN
alces-146	43	24	.	.	PUNCT
alces-146	44	1	we	we	PRON
alces-146	44	2	identified	identify	VERB
alces-146	44	3	51	51	NUM
alces-146	44	4	survey	survey	NOUN
alces-146	44	5	blocks	block	NOUN
alces-146	44	6	based	base	VERB
alces-146	44	7	on	on	ADP
alces-146	44	8	field	field	NOUN
alces-146	44	9	landmarks	landmark	NOUN
alces-146	44	10	;	;	PUNCT
alces-146	44	11	average	average	ADJ
alces-146	44	12	block	block	NOUN
alces-146	44	13	size	size	NOUN
alces-146	44	14	was	be	AUX
alces-146	44	15	13.5	13.5	NUM
alces-146	44	16	km2	km2	NOUN
alces-146	44	17	ranging	range	VERB
alces-146	44	18	from	from	ADP
alces-146	44	19	9.0–17.8	9.0–17.8	NUM
alces-146	44	20	km2	km2	NOUN
alces-146	44	21	.	.	PUNCT
alces-146	45	1	prior	prior	ADV
alces-146	45	2	to	to	ADP
alces-146	45	3	each	each	DET
alces-146	45	4	annual	annual	ADJ
alces-146	45	5	survey	survey	NOUN
alces-146	45	6	,	,	PUNCT
alces-146	45	7	each	each	DET
alces-146	45	8	block	block	NOUN
alces-146	45	9	was	be	AUX
alces-146	45	10	categorized	categorize	VERB
alces-146	45	11	into	into	ADP
alces-146	45	12	1	1	NUM
alces-146	45	13	of	of	ADP
alces-146	45	14	3	3	NUM
alces-146	45	15	population	population	NOUN
alces-146	45	16	density	density	NOUN
alces-146	45	17	strata	strata	NOUN
alces-146	45	18	(	(	PUNCT
alces-146	45	19	low	low	ADJ
alces-146	45	20	,	,	PUNCT
alces-146	45	21	medium	medium	ADJ
alces-146	45	22	,	,	PUNCT
alces-146	45	23	high	high	ADJ
alces-146	45	24	)	)	PUNCT
alces-146	45	25	based	base	VERB
alces-146	45	26	on	on	ADP
alces-146	45	27	the	the	DET
alces-146	45	28	previous	previous	ADJ
alces-146	45	29	years	year	NOUN
alces-146	45	30	’	'	PUNCT
alces-146	45	31	survey	survey	NOUN
alces-146	45	32	,	,	PUNCT
alces-146	45	33	or	or	CCONJ
alces-146	45	34	if	if	SCONJ
alces-146	45	35	lacking	lacking	ADJ
alces-146	45	36	,	,	PUNCT
alces-146	45	37	general	general	ADJ
alces-146	45	38	field	field	NOUN
alces-146	45	39	knowledge	knowledge	NOUN
alces-146	45	40	.	.	PUNCT
alces-146	46	1	the	the	DET
alces-146	46	2	annual	annual	ADJ
alces-146	46	3	selection	selection	NOUN
alces-146	46	4	of	of	ADP
alces-146	46	5	blocks	block	NOUN
alces-146	46	6	followed	follow	VERB
alces-146	46	7	a	a	DET
alces-146	46	8	stratified	stratified	ADJ
alces-146	46	9	random	random	ADJ
alces-146	46	10	design	design	NOUN
alces-146	46	11	:	:	PUNCT
alces-146	46	12	all	all	DET
alces-146	46	13	high	high	ADJ
alces-146	46	14	density	density	NOUN
alces-146	46	15	blocks	block	NOUN
alces-146	46	16	were	be	AUX
alces-146	46	17	surveyed	survey	VERB
alces-146	46	18	each	each	DET
alces-146	46	19	year	year	NOUN
alces-146	46	20	,	,	PUNCT
alces-146	46	21	whereas	whereas	SCONJ
alces-146	46	22	a	a	DET
alces-146	46	23	random	random	ADJ
alces-146	46	24	selection	selection	NOUN
alces-146	46	25	of	of	ADP
alces-146	46	26	medium	medium	ADJ
alces-146	46	27	and	and	CCONJ
alces-146	46	28	low	low	ADJ
alces-146	46	29	density	density	NOUN
alces-146	46	30	blocks	block	NOUN
alces-146	46	31	was	be	AUX
alces-146	46	32	flown	fly	VERB
alces-146	46	33	,	,	PUNCT
alces-146	46	34	depending	depend	VERB
alces-146	46	35	on	on	ADP
alces-146	46	36	available	available	ADJ
alces-146	46	37	funding	funding	NOUN
alces-146	46	38	.	.	PUNCT
alces-146	47	1	survey	survey	NOUN
alces-146	47	2	coverage	coverage	NOUN
alces-146	47	3	(	(	PUNCT
alces-146	47	4	i.e.	i.e.	X
alces-146	47	5	,	,	PUNCT
alces-146	47	6	proportion	proportion	NOUN
alces-146	47	7	of	of	ADP
alces-146	47	8	all	all	DET
alces-146	47	9	mapped	map	VERB
alces-146	47	10	survey	survey	NOUN
alces-146	47	11	blocks	block	NOUN
alces-146	47	12	included	include	VERB
alces-146	47	13	within	within	ADP
alces-146	47	14	that	that	DET
alces-146	47	15	year	year	NOUN
alces-146	47	16	's	's	PART
alces-146	47	17	survey	survey	NOUN
alces-146	47	18	)	)	PUNCT
alces-146	47	19	averaged	average	VERB
alces-146	47	20	33	33	NUM
alces-146	47	21	%	%	NOUN
alces-146	47	22	ranging	range	VERB
alces-146	47	23	from	from	ADP
alces-146	47	24	18–44	18–44	NUM
alces-146	47	25	%	%	NOUN
alces-146	47	26	.	.	PUNCT
alces-146	48	1	flight	flight	NOUN
alces-146	48	2	lines	line	NOUN
alces-146	48	3	within	within	ADP
alces-146	48	4	blocks	block	NOUN
alces-146	48	5	were	be	AUX
alces-146	48	6	not	not	PART
alces-146	48	7	mapped	map	VERB
alces-146	48	8	prior	prior	ADV
alces-146	48	9	to	to	ADP
alces-146	48	10	the	the	DET
alces-146	48	11	survey	survey	NOUN
alces-146	48	12	,	,	PUNCT
alces-146	48	13	nor	nor	CCONJ
alces-146	48	14	were	be	AUX
alces-146	48	15	they	they	PRON
alces-146	48	16	strictly	strictly	ADV
alces-146	48	17	controlled	control	VERB
alces-146	48	18	.	.	PUNCT
alces-146	49	1	rather	rather	ADV
alces-146	49	2	,	,	PUNCT
alces-146	49	3	flight	flight	NOUN
alces-146	49	4	paths	path	NOUN
alces-146	49	5	were	be	AUX
alces-146	49	6	designed	design	VERB
alces-146	49	7	to	to	PART
alces-146	49	8	maximize	maximize	VERB
alces-146	49	9	coverage	coverage	NOUN
alces-146	49	10	within	within	ADP
alces-146	49	11	each	each	DET
alces-146	49	12	block	block	NOUN
alces-146	49	13	,	,	PUNCT
alces-146	49	14	reflecting	reflect	VERB
alces-146	49	15	the	the	DET
alces-146	49	16	shape	shape	NOUN
alces-146	49	17	and	and	CCONJ
alces-146	49	18	topographic	topographic	NOUN
alces-146	49	19	features	feature	NOUN
alces-146	49	20	within	within	ADV
alces-146	49	21	,	,	PUNCT
alces-146	49	22	and	and	CCONJ
alces-146	49	23	were	be	AUX
alces-146	49	24	generally	generally	ADV
alces-146	49	25	∼400	∼400	NUM
alces-146	49	26	m	m	VERB
alces-146	49	27	apart	apart	ADV
alces-146	49	28	.	.	PUNCT
alces-146	50	1	flight	flight	NOUN
alces-146	50	2	lines	line	NOUN
alces-146	50	3	and	and	CCONJ
alces-146	50	4	locations	location	NOUN
alces-146	50	5	of	of	ADP
alces-146	50	6	each	each	DET
alces-146	50	7	moose	moose	NOUN
alces-146	50	8	group	group	NOUN
alces-146	50	9	were	be	AUX
alces-146	50	10	recorded	record	VERB
alces-146	50	11	using	use	VERB
alces-146	50	12	hand	hand	NOUN
alces-146	50	13	-	-	PUNCT
alces-146	50	14	held	hold	VERB
alces-146	50	15	gps	gps	NOUN
alces-146	50	16	units	unit	NOUN
alces-146	50	17	.	.	PUNCT
alces-146	51	1	all	all	DET
alces-146	51	2	surveys	survey	NOUN
alces-146	51	3	were	be	AUX
alces-146	51	4	conducted	conduct	VERB
alces-146	51	5	with	with	ADP
alces-146	51	6	a	a	DET
alces-146	51	7	robinson	robinson	PROPN
alces-146	51	8	r-44	r-44	NOUN
alces-146	51	9	helicopter	helicopter	NOUN
alces-146	51	10	;	;	PUNCT
alces-146	51	11	typically	typically	ADV
alces-146	51	12	2	2	NUM
alces-146	51	13	experienced	experienced	ADJ
alces-146	51	14	observers	observer	NOUN
alces-146	51	15	were	be	AUX
alces-146	51	16	used	use	VERB
alces-146	51	17	(	(	PUNCT
alces-146	51	18	front	front	NOUN
alces-146	51	19	left	leave	VERB
alces-146	51	20	,	,	PUNCT
alces-146	51	21	rear	rear	ADJ
alces-146	51	22	right	right	NOUN
alces-146	51	23	)	)	PUNCT
alces-146	51	24	,	,	PUNCT
alces-146	51	25	and	and	CCONJ
alces-146	51	26	observations	observation	NOUN
alces-146	51	27	by	by	ADP
alces-146	51	28	the	the	DET
alces-146	51	29	helicopter	helicopter	NOUN
alces-146	51	30	pilot	pilot	NOUN
alces-146	51	31	were	be	AUX
alces-146	51	32	also	also	ADV
alces-146	51	33	counted	count	VERB
alces-146	51	34	.	.	PUNCT
alces-146	52	1	surveys	survey	NOUN
alces-146	52	2	were	be	AUX
alces-146	52	3	timed	time	VERB
alces-146	52	4	to	to	PART
alces-146	52	5	coincide	coincide	VERB
alces-146	52	6	with	with	ADP
alces-146	52	7	good	good	ADJ
alces-146	52	8	weather	weather	NOUN
alces-146	52	9	occurring	occur	VERB
alces-146	52	10	shortly	shortly	ADV
alces-146	52	11	after	after	ADP
alces-146	52	12	a	a	DET
alces-146	52	13	snowfall	snowfall	NOUN
alces-146	52	14	to	to	ADP
alces-146	52	15	the	the	DET
alces-146	52	16	extent	extent	NOUN
alces-146	52	17	practical	practical	ADJ
alces-146	52	18	,	,	PUNCT
alces-146	52	19	avoiding	avoid	VERB
alces-146	52	20	patchy	patchy	ADJ
alces-146	52	21	snow	snow	NOUN
alces-146	52	22	cover	cover	NOUN
alces-146	52	23	,	,	PUNCT
alces-146	52	24	and	and	CCONJ
alces-146	52	25	occurred	occur	VERB
alces-146	52	26	as	as	ADV
alces-146	52	27	early	early	ADV
alces-146	52	28	as	as	ADP
alces-146	52	29	8	8	NUM
alces-146	52	30	december	december	NOUN
alces-146	52	31	and	and	CCONJ
alces-146	52	32	as	as	ADV
alces-146	52	33	late	late	ADJ
alces-146	52	34	as	as	ADP
alces-146	52	35	3	3	NUM
alces-146	52	36	february	february	NOUN
alces-146	52	37	.	.	PUNCT
alces-146	53	1	surveys	survey	NOUN
alces-146	53	2	generally	generally	ADV
alces-146	53	3	occurred	occur	VERB
alces-146	53	4	over	over	ADP
alces-146	53	5	3–6	3–6	NUM
alces-146	53	6	days	day	NOUN
alces-146	53	7	each	each	DET
alces-146	53	8	winter	winter	NOUN
alces-146	53	9	in	in	ADP
alces-146	53	10	response	response	NOUN
alces-146	53	11	to	to	ADP
alces-146	53	12	weather	weather	NOUN
alces-146	53	13	conditions	condition	NOUN
alces-146	53	14	.	.	PUNCT
alces-146	54	1	although	although	SCONJ
alces-146	54	2	never	never	ADV
alces-146	54	3	applied	apply	VERB
alces-146	54	4	formally	formally	ADV
alces-146	54	5	in	in	ADP
alces-146	54	6	a	a	DET
alces-146	54	7	model	model	NOUN
alces-146	54	8	setting	setting	NOUN
alces-146	54	9	,	,	PUNCT
alces-146	54	10	covariates	covariate	NOUN
alces-146	54	11	hypothesized	hypothesize	VERB
alces-146	54	12	to	to	PART
alces-146	54	13	influence	influence	VERB
alces-146	54	14	detection	detection	NOUN
alces-146	54	15	of	of	ADP
alces-146	54	16	moose	moose	NOUN
alces-146	54	17	groups	group	NOUN
alces-146	54	18	were	be	AUX
alces-146	54	19	collected	collect	VERB
alces-146	54	20	in	in	ADP
alces-146	54	21	the	the	DET
alces-146	54	22	same	same	ADJ
alces-146	54	23	manner	manner	NOUN
alces-146	54	24	and	and	CCONJ
alces-146	54	25	with	with	ADP
alces-146	54	26	the	the	DET
alces-146	54	27	same	same	ADJ
alces-146	54	28	definitions	definition	NOUN
alces-146	54	29	each	each	DET
alces-146	54	30	year	year	NOUN
alces-146	54	31	(	(	PUNCT
alces-146	54	32	samuel	samuel	PROPN
alces-146	54	33	et	et	PROPN
alces-146	54	34	al	al	PROPN
alces-146	54	35	.	.	PROPN
alces-146	54	36	1987	1987	NUM
alces-146	54	37	)	)	PUNCT
alces-146	54	38	.	.	PUNCT
alces-146	55	1	in	in	ADP
alces-146	55	2	addition	addition	NOUN
alces-146	55	3	to	to	ADP
alces-146	55	4	group	group	NOUN
alces-146	55	5	size	size	NOUN
alces-146	55	6	(	(	PUNCT
alces-146	55	7	and	and	CCONJ
alces-146	55	8	sex	sex	NOUN
alces-146	55	9	/	/	SYM
alces-146	55	10	age	age	NOUN
alces-146	55	11	composition	composition	NOUN
alces-146	55	12	)	)	PUNCT
alces-146	55	13	,	,	PUNCT
alces-146	55	14	these	these	PRON
alces-146	55	15	were	be	AUX
alces-146	55	16	activity	activity	NOUN
alces-146	55	17	(	(	PUNCT
alces-146	55	18	bedded	bed	VERB
alces-146	55	19	,	,	PUNCT
alces-146	55	20	standing	standing	NOUN
alces-146	55	21	,	,	PUNCT
alces-146	55	22	moving	move	VERB
alces-146	55	23	)	)	PUNCT
alces-146	55	24	,	,	PUNCT
alces-146	55	25	percent	percent	NOUN
alces-146	55	26	snow	snow	NOUN
alces-146	55	27	cover	cover	NOUN
alces-146	55	28	,	,	PUNCT
alces-146	55	29	percent	percent	NOUN
alces-146	55	30	obstructing	obstruct	VERB
alces-146	55	31	vegetative	vegetative	ADJ
alces-146	55	32	cover	cover	NOUN
alces-146	55	33	(	(	PUNCT
alces-146	55	34	visually	visually	ADV
alces-146	55	35	estimated	estimate	VERB
alces-146	55	36	to	to	ADP
alces-146	55	37	alces	alce	NOUN
alces-146	55	38	vol	vol	NOUN
alces-146	55	39	.	.	PROPN
alces-146	56	1	51	51	NUM
alces-146	56	2	,	,	PUNCT
alces-146	56	3	2015	2015	NUM
alces-146	56	4	harris	harris	X
alces-146	56	5	et	et	PROPN
alces-146	56	6	al	al	PROPN
alces-146	56	7	.	.	PROPN
alces-146	56	8	–	–	PUNCT
alces-146	56	9	estimating	estimate	VERB
alces-146	56	10	moose	moose	NOUN
alces-146	56	11	abundance	abundance	NOUN
alces-146	56	12	59	59	NUM
alces-146	56	13	nearest	near	ADJ
alces-146	56	14	5	5	NUM
alces-146	56	15	%	%	NOUN
alces-146	56	16	)	)	PUNCT
alces-146	56	17	,	,	PUNCT
alces-146	56	18	and	and	CCONJ
alces-146	56	19	an	an	DET
alces-146	56	20	index	index	NOUN
alces-146	56	21	of	of	ADP
alces-146	56	22	terrain	terrain	NOUN
alces-146	56	23	type	type	NOUN
alces-146	56	24	(	(	PUNCT
alces-146	56	25	flat	flat	ADJ
alces-146	56	26	or	or	CCONJ
alces-146	56	27	hilly	hilly	ADV
alces-146	56	28	)	)	PUNCT
alces-146	56	29	.	.	PUNCT
alces-146	57	1	to	to	PART
alces-146	57	2	assess	assess	VERB
alces-146	57	3	the	the	DET
alces-146	57	4	behavior	behavior	NOUN
alces-146	57	5	of	of	ADP
alces-146	57	6	existing	exist	VERB
alces-146	57	7	sightability	sightability	NOUN
alces-146	57	8	models	model	NOUN
alces-146	57	9	when	when	SCONJ
alces-146	57	10	applied	apply	VERB
alces-146	57	11	to	to	ADP
alces-146	57	12	these	these	DET
alces-146	57	13	data	datum	NOUN
alces-146	57	14	,	,	PUNCT
alces-146	57	15	we	we	PRON
alces-146	57	16	programmed	program	VERB
alces-146	57	17	the	the	DET
alces-146	57	18	sightability	sightability	NOUN
alces-146	57	19	model	model	NOUN
alces-146	57	20	package	package	NOUN
alces-146	57	21	(	(	PUNCT
alces-146	57	22	fieberg	fieberg	PROPN
alces-146	57	23	2012	2012	NUM
alces-146	57	24	)	)	PUNCT
alces-146	57	25	in	in	ADP
alces-146	57	26	r	r	NOUN
alces-146	57	27	3.1.1	3.1.1	NUM
alces-146	57	28	(	(	PUNCT
alces-146	57	29	r	r	NOUN
alces-146	57	30	development	development	NOUN
alces-146	57	31	core	core	NOUN
alces-146	57	32	team	team	NOUN
alces-146	57	33	2011	2011	NUM
alces-146	57	34	)	)	PUNCT
alces-146	57	35	to	to	PART
alces-146	57	36	replicate	replicate	VERB
alces-146	57	37	the	the	DET
alces-146	57	38	models	model	NOUN
alces-146	57	39	developed	develop	VERB
alces-146	57	40	in	in	ADP
alces-146	57	41	the	the	DET
alces-146	57	42	3	3	NUM
alces-146	57	43	closest	close	ADJ
alces-146	57	44	geographic	geographic	ADJ
alces-146	57	45	regions	region	NOUN
alces-146	57	46	to	to	ADP
alces-146	57	47	eastern	eastern	ADJ
alces-146	57	48	washington	washington	PROPN
alces-146	57	49	:	:	PUNCT
alces-146	58	1	wyoming	wyoming	PROPN
alces-146	58	2	(	(	PUNCT
alces-146	58	3	anderson	anderson	PROPN
alces-146	58	4	and	and	CCONJ
alces-146	58	5	lindzey	lindzey	PROPN
alces-146	58	6	1996	1996	NUM
alces-146	58	7	)	)	PUNCT
alces-146	58	8	,	,	PUNCT
alces-146	58	9	british	british	PROPN
alces-146	58	10	columbia	columbia	PROPN
alces-146	58	11	(	(	PUNCT
alces-146	58	12	quayle	quayle	PROPN
alces-146	58	13	et	et	PROPN
alces-146	58	14	al	al	PROPN
alces-146	58	15	.	.	PROPN
alces-146	58	16	2001	2001	NUM
alces-146	58	17	)	)	PUNCT
alces-146	58	18	,	,	PUNCT
alces-146	58	19	and	and	CCONJ
alces-146	58	20	minnesota	minnesota	PROPN
alces-146	58	21	(	(	PUNCT
alces-146	58	22	guidice	guidice	PROPN
alces-146	58	23	et	et	PROPN
alces-146	58	24	al	al	PROPN
alces-146	58	25	.	.	PROPN
alces-146	58	26	2012	2012	NUM
alces-146	58	27	)	)	PUNCT
alces-146	58	28	.	.	PUNCT
alces-146	59	1	in	in	ADP
alces-146	59	2	addition	addition	NOUN
alces-146	59	3	,	,	PUNCT
alces-146	59	4	we	we	PRON
alces-146	59	5	obtained	obtain	VERB
alces-146	59	6	the	the	DET
alces-146	59	7	parameters	parameter	NOUN
alces-146	59	8	for	for	ADP
alces-146	59	9	an	an	DET
alces-146	59	10	additional	additional	ADJ
alces-146	59	11	model	model	NOUN
alces-146	59	12	produced	produce	VERB
alces-146	59	13	for	for	ADP
alces-146	59	14	a	a	DET
alces-146	59	15	different	different	ADJ
alces-146	59	16	geographic	geographic	ADJ
alces-146	59	17	region	region	NOUN
alces-146	59	18	of	of	ADP
alces-146	59	19	british	british	PROPN
alces-146	59	20	columbia	columbia	PROPN
alces-146	59	21	,	,	PUNCT
alces-146	59	22	but	but	CCONJ
alces-146	59	23	not	not	PART
alces-146	59	24	published	publish	VERB
alces-146	59	25	at	at	ADP
alces-146	59	26	the	the	DET
alces-146	59	27	time	time	NOUN
alces-146	59	28	(	(	PUNCT
alces-146	59	29	j.	j.	PROPN
alces-146	59	30	quayle	quayle	PROPN
alces-146	59	31	,	,	PUNCT
alces-146	59	32	british	british	PROPN
alces-146	59	33	columbia	columbia	PROPN
alces-146	59	34	ministry	ministry	PROPN
alces-146	59	35	of	of	ADP
alces-146	59	36	environment	environment	PROPN
alces-146	59	37	,	,	PUNCT
alces-146	59	38	victoria	victoria	PROPN
alces-146	59	39	,	,	PUNCT
alces-146	59	40	british	british	PROPN
alces-146	59	41	columbia	columbia	PROPN
alces-146	59	42	,	,	PUNCT
alces-146	59	43	pers	per	NOUN
alces-146	59	44	.	.	PUNCT
alces-146	60	1	comm	comm	NOUN
alces-146	60	2	.	.	PUNCT
alces-146	60	3	)	)	PUNCT
alces-146	60	4	.	.	PUNCT
alces-146	61	1	these	these	DET
alces-146	61	2	4	4	NUM
alces-146	61	3	models	model	NOUN
alces-146	61	4	,	,	PUNCT
alces-146	61	5	hereafter	hereafter	ADV
alces-146	61	6	referred	refer	VERB
alces-146	61	7	to	to	ADP
alces-146	61	8	as	as	ADP
alces-146	61	9	“	"	PUNCT
alces-146	61	10	wyoming	wyoming	NOUN
alces-146	61	11	”	"	PUNCT
alces-146	61	12	,	,	PUNCT
alces-146	61	13	“	"	PUNCT
alces-146	61	14	bc	bc	PROPN
alces-146	61	15	”	"	PUNCT
alces-146	61	16	,	,	PUNCT
alces-146	61	17	“	"	PUNCT
alces-146	61	18	bc-2	bc-2	NUM
alces-146	61	19	”	"	PUNCT
alces-146	61	20	,	,	PUNCT
alces-146	61	21	and	and	CCONJ
alces-146	61	22	“	"	PUNCT
alces-146	61	23	minnesota	minnesota	PROPN
alces-146	61	24	”	"	PUNCT
alces-146	61	25	,	,	PUNCT
alces-146	61	26	defined	define	VERB
alces-146	61	27	and	and	CCONJ
alces-146	61	28	categorized	categorize	VERB
alces-146	61	29	vegetative	vegetative	ADJ
alces-146	61	30	cover	cover	NOUN
alces-146	61	31	slightly	slightly	ADV
alces-146	61	32	differently	differently	ADV
alces-146	61	33	;	;	PUNCT
alces-146	61	34	therefore	therefore	ADV
alces-146	61	35	,	,	PUNCT
alces-146	61	36	we	we	PRON
alces-146	61	37	binned	bin	VERB
alces-146	61	38	our	our	PRON
alces-146	61	39	continuous	continuous	ADJ
alces-146	61	40	data	datum	NOUN
alces-146	61	41	into	into	ADP
alces-146	61	42	the	the	DET
alces-146	61	43	categories	category	NOUN
alces-146	61	44	needed	need	VERB
alces-146	61	45	for	for	ADP
alces-146	61	46	each	each	PRON
alces-146	61	47	of	of	ADP
alces-146	61	48	the	the	DET
alces-146	61	49	4	4	NUM
alces-146	61	50	models	model	NOUN
alces-146	61	51	.	.	PUNCT
alces-146	62	1	we	we	PRON
alces-146	62	2	summarized	summarize	VERB
alces-146	62	3	data	datum	NOUN
alces-146	62	4	using	use	VERB
alces-146	62	5	jmp	jmp	PROPN
alces-146	62	6	v.	v.	ADP
alces-146	62	7	11.1	11.1	NUM
alces-146	62	8	(	(	PUNCT
alces-146	62	9	sas	sas	PROPN
alces-146	62	10	institute	institute	PROPN
alces-146	62	11	,	,	PUNCT
alces-146	62	12	cary	cary	PROPN
alces-146	62	13	,	,	PUNCT
alces-146	62	14	north	north	PROPN
alces-146	62	15	carolina	carolina	PROPN
alces-146	62	16	,	,	PUNCT
alces-146	62	17	usa	usa	PROPN
alces-146	62	18	)	)	PUNCT
alces-146	62	19	.	.	PUNCT
alces-146	63	1	we	we	PRON
alces-146	63	2	further	far	ADV
alces-146	63	3	explored	explore	VERB
alces-146	63	4	our	our	PRON
alces-146	63	5	covariate	covariate	ADJ
alces-146	63	6	information	information	NOUN
alces-146	63	7	to	to	PART
alces-146	63	8	determine	determine	VERB
alces-146	63	9	if	if	SCONJ
alces-146	63	10	it	it	PRON
alces-146	63	11	could	could	AUX
alces-146	63	12	improve	improve	VERB
alces-146	63	13	our	our	PRON
alces-146	63	14	estimate	estimate	NOUN
alces-146	63	15	of	of	ADP
alces-146	63	16	the	the	DET
alces-146	63	17	rate	rate	NOUN
alces-146	63	18	of	of	ADP
alces-146	63	19	change	change	NOUN
alces-146	63	20	of	of	ADP
alces-146	63	21	the	the	DET
alces-146	63	22	moose	moose	NOUN
alces-146	63	23	population	population	NOUN
alces-146	63	24	,	,	PUNCT
alces-146	63	25	even	even	ADV
alces-146	63	26	if	if	SCONJ
alces-146	63	27	it	it	PRON
alces-146	63	28	failed	fail	VERB
alces-146	63	29	to	to	PART
alces-146	63	30	find	find	VERB
alces-146	63	31	application	application	NOUN
alces-146	63	32	in	in	ADP
alces-146	63	33	existing	exist	VERB
alces-146	63	34	sightability	sightability	NOUN
alces-146	63	35	models	model	NOUN
alces-146	63	36	.	.	PUNCT
alces-146	64	1	a	a	DET
alces-146	64	2	simple	simple	ADJ
alces-146	64	3	regression	regression	NOUN
alces-146	64	4	of	of	ADP
alces-146	64	5	the	the	DET
alces-146	64	6	natural	natural	ADJ
alces-146	64	7	logarithm	logarithm	NOUN
alces-146	64	8	of	of	ADP
alces-146	64	9	raw	raw	ADJ
alces-146	64	10	index	index	NOUN
alces-146	64	11	counts	count	NOUN
alces-146	64	12	on	on	ADP
alces-146	64	13	time	time	NOUN
alces-146	64	14	would	would	AUX
alces-146	64	15	ignore	ignore	VERB
alces-146	64	16	the	the	DET
alces-146	64	17	effects	effect	NOUN
alces-146	64	18	of	of	ADP
alces-146	64	19	environmental	environmental	ADJ
alces-146	64	20	variation	variation	NOUN
alces-146	64	21	on	on	ADP
alces-146	64	22	detection	detection	NOUN
alces-146	64	23	completely	completely	ADV
alces-146	64	24	,	,	PUNCT
alces-146	64	25	as	as	ADV
alces-146	64	26	well	well	ADV
alces-146	64	27	as	as	ADP
alces-146	64	28	the	the	DET
alces-146	64	29	existence	existence	NOUN
alces-146	64	30	of	of	ADP
alces-146	64	31	temporal	temporal	ADJ
alces-146	64	32	correlation	correlation	NOUN
alces-146	64	33	in	in	ADP
alces-146	64	34	population	population	NOUN
alces-146	64	35	indices	index	NOUN
alces-146	64	36	,	,	PUNCT
alces-146	64	37	thereby	thereby	ADV
alces-146	64	38	under	under	ADV
alces-146	64	39	-	-	PUNCT
alces-146	64	40	estimating	estimate	VERB
alces-146	64	41	true	true	ADJ
alces-146	64	42	process	process	NOUN
alces-146	64	43	variance	variance	NOUN
alces-146	64	44	and	and	CCONJ
alces-146	64	45	creating	create	VERB
alces-146	64	46	a	a	DET
alces-146	64	47	sense	sense	NOUN
alces-146	64	48	of	of	ADP
alces-146	64	49	false	false	ADJ
alces-146	64	50	precision	precision	NOUN
alces-146	64	51	.	.	PUNCT
alces-146	65	1	thus	thus	ADV
alces-146	65	2	,	,	PUNCT
alces-146	65	3	we	we	PRON
alces-146	65	4	adopted	adopt	VERB
alces-146	65	5	the	the	DET
alces-146	65	6	approach	approach	NOUN
alces-146	65	7	suggested	suggest	VERB
alces-146	65	8	by	by	ADP
alces-146	65	9	dennis	dennis	PROPN
alces-146	65	10	et	et	PROPN
alces-146	65	11	al	al	PROPN
alces-146	65	12	.	.	PUNCT
alces-146	66	1	(	(	PUNCT
alces-146	66	2	1991:120	1991:120	NOUN
alces-146	66	3	;	;	PUNCT
alces-146	66	4	see	see	VERB
alces-146	66	5	also	also	ADV
alces-146	66	6	morris	morris	PROPN
alces-146	66	7	and	and	CCONJ
alces-146	66	8	doak	doak	PROPN
alces-146	66	9	2002:68	2002:68	PROPN
alces-146	66	10	and	and	CCONJ
alces-146	66	11	mills	mill	NOUN
alces-146	66	12	2007:109	2007:109	VERB
alces-146	66	13	)	)	PUNCT
alces-146	66	14	in	in	ADP
alces-146	66	15	which	which	PRON
alces-146	66	16	natural	natural	ADJ
alces-146	66	17	logarithms	logarithm	NOUN
alces-146	66	18	of	of	ADP
alces-146	66	19	the	the	DET
alces-146	66	20	ratios	ratio	NOUN
alces-146	66	21	of	of	ADP
alces-146	66	22	successive	successive	ADJ
alces-146	66	23	raw	raw	ADJ
alces-146	66	24	counts	count	NOUN
alces-146	66	25	are	be	AUX
alces-146	66	26	regressed	regress	VERB
alces-146	66	27	on	on	ADP
alces-146	66	28	the	the	DET
alces-146	66	29	intervals	interval	NOUN
alces-146	66	30	between	between	ADP
alces-146	66	31	surveys	survey	NOUN
alces-146	66	32	,	,	PUNCT
alces-146	66	33	forced	force	VERB
alces-146	66	34	through	through	ADP
alces-146	66	35	the	the	DET
alces-146	66	36	origin	origin	NOUN
alces-146	66	37	.	.	PUNCT
alces-146	67	1	we	we	PRON
alces-146	67	2	added	add	VERB
alces-146	67	3	to	to	ADP
alces-146	67	4	the	the	DET
alces-146	67	5	basic	basic	ADJ
alces-146	67	6	regression	regression	NOUN
alces-146	67	7	model	model	NOUN
alces-146	67	8	a	a	DET
alces-146	67	9	suite	suite	NOUN
alces-146	67	10	of	of	ADP
alces-146	67	11	covariates	covariate	NOUN
alces-146	67	12	hypothesized	hypothesize	VERB
alces-146	67	13	to	to	PART
alces-146	67	14	affect	affect	VERB
alces-146	67	15	detection	detection	NOUN
alces-146	67	16	probability	probability	NOUN
alces-146	67	17	or	or	CCONJ
alces-146	67	18	reflect	reflect	VERB
alces-146	67	19	survey	survey	NOUN
alces-146	67	20	effort	effort	NOUN
alces-146	67	21	,	,	PUNCT
alces-146	67	22	and	and	CCONJ
alces-146	67	23	thereby	thereby	ADV
alces-146	67	24	influence	influence	VERB
alces-146	67	25	population	population	NOUN
alces-146	67	26	trend	trend	NOUN
alces-146	67	27	estimates	estimate	VERB
alces-146	67	28	.	.	PUNCT
alces-146	68	1	we	we	PRON
alces-146	68	2	took	take	VERB
alces-146	68	3	as	as	SCONJ
alces-146	68	4	covariates	covariate	NOUN
alces-146	68	5	the	the	DET
alces-146	68	6	percent	percent	NOUN
alces-146	68	7	forest	forest	NOUN
alces-146	68	8	cover	cover	NOUN
alces-146	68	9	information	information	NOUN
alces-146	68	10	used	use	VERB
alces-146	68	11	in	in	ADP
alces-146	68	12	the	the	DET
alces-146	68	13	sightability	sightability	NOUN
alces-146	68	14	models	model	NOUN
alces-146	68	15	above	above	ADV
alces-146	68	16	(	(	PUNCT
alces-146	68	17	in	in	ADP
alces-146	68	18	this	this	DET
alces-146	68	19	case	case	NOUN
alces-146	68	20	,	,	PUNCT
alces-146	68	21	using	use	VERB
alces-146	68	22	the	the	DET
alces-146	68	23	mean	mean	ADJ
alces-146	68	24	annual	annual	ADJ
alces-146	68	25	percent	percent	NOUN
alces-146	68	26	cover	cover	NOUN
alces-146	68	27	for	for	ADP
alces-146	68	28	all	all	DET
alces-146	68	29	observed	observed	ADJ
alces-146	68	30	moose	moose	NOUN
alces-146	68	31	,	,	PUNCT
alces-146	68	32	weighted	weight	VERB
alces-146	68	33	by	by	ADP
alces-146	68	34	moose	moose	NOUN
alces-146	68	35	group	group	NOUN
alces-146	68	36	size	size	NOUN
alces-146	68	37	)	)	PUNCT
alces-146	68	38	.	.	PUNCT
alces-146	69	1	we	we	PRON
alces-146	69	2	further	far	ADV
alces-146	69	3	added	add	VERB
alces-146	69	4	other	other	ADJ
alces-146	69	5	covariate	covariate	ADJ
alces-146	69	6	data	datum	NOUN
alces-146	69	7	collected	collect	VERB
alces-146	69	8	during	during	ADP
alces-146	69	9	2002–2012	2002–2012	NUM
alces-146	69	10	that	that	PRON
alces-146	69	11	did	do	AUX
alces-146	69	12	not	not	PART
alces-146	69	13	enter	enter	VERB
alces-146	69	14	into	into	ADP
alces-146	69	15	the	the	DET
alces-146	69	16	top	top	ADJ
alces-146	69	17	sightability	sightability	NOUN
alces-146	69	18	models	model	NOUN
alces-146	69	19	.	.	PUNCT
alces-146	70	1	these	these	PRON
alces-146	70	2	were	be	AUX
alces-146	70	3	the	the	DET
alces-146	70	4	weighted	weight	VERB
alces-146	70	5	mean	mean	ADJ
alces-146	70	6	annual	annual	ADJ
alces-146	70	7	percent	percent	NOUN
alces-146	70	8	snow	snow	NOUN
alces-146	70	9	cover	cover	NOUN
alces-146	70	10	recorded	record	VERB
alces-146	70	11	at	at	ADP
alces-146	70	12	each	each	DET
alces-146	70	13	moose	moose	NOUN
alces-146	70	14	observation	observation	NOUN
alces-146	70	15	,	,	PUNCT
alces-146	70	16	the	the	DET
alces-146	70	17	weighted	weight	VERB
alces-146	70	18	mean	mean	ADJ
alces-146	70	19	annual	annual	ADJ
alces-146	70	20	index	index	NOUN
alces-146	70	21	of	of	ADP
alces-146	70	22	moose	moose	NOUN
alces-146	70	23	activity	activity	NOUN
alces-146	70	24	of	of	ADP
alces-146	70	25	each	each	DET
alces-146	70	26	observed	observe	VERB
alces-146	70	27	moose	moose	NOUN
alces-146	70	28	group	group	NOUN
alces-146	70	29	(	(	PUNCT
alces-146	70	30	1	1	NUM
alces-146	70	31	=	=	SYM
alces-146	70	32	sitting	sit	VERB
alces-146	70	33	,	,	PUNCT
alces-146	70	34	2	2	NUM
alces-146	70	35	=	=	SYM
alces-146	70	36	standing	standing	NOUN
alces-146	70	37	,	,	PUNCT
alces-146	70	38	3	3	NUM
alces-146	70	39	=	=	SYM
alces-146	70	40	moving	move	VERB
alces-146	70	41	)	)	PUNCT
alces-146	70	42	,	,	PUNCT
alces-146	70	43	and	and	CCONJ
alces-146	70	44	the	the	DET
alces-146	70	45	number	number	NOUN
alces-146	70	46	of	of	ADP
alces-146	70	47	survey	survey	NOUN
alces-146	70	48	units	unit	NOUN
alces-146	70	49	entering	enter	VERB
alces-146	70	50	the	the	DET
alces-146	70	51	survey	survey	NOUN
alces-146	70	52	in	in	ADP
alces-146	70	53	each	each	DET
alces-146	70	54	year	year	NOUN
alces-146	70	55	(	(	PUNCT
alces-146	70	56	table	table	NOUN
alces-146	70	57	1	1	NUM
alces-146	70	58	)	)	PUNCT
alces-146	70	59	.	.	PUNCT
alces-146	71	1	each	each	PRON
alces-146	71	2	of	of	ADP
alces-146	71	3	these	these	PRON
alces-146	71	4	varied	varied	ADJ
alces-146	71	5	annually	annually	ADV
alces-146	71	6	and	and	CCONJ
alces-146	71	7	was	be	AUX
alces-146	71	8	a	a	DET
alces-146	71	9	plausible	plausible	ADJ
alces-146	71	10	candidate	candidate	NOUN
alces-146	71	11	as	as	ADP
alces-146	71	12	a	a	DET
alces-146	71	13	covariate	covariate	NOUN
alces-146	71	14	that	that	PRON
alces-146	71	15	affected	affect	VERB
alces-146	71	16	our	our	PRON
alces-146	71	17	interpretation	interpretation	NOUN
alces-146	71	18	of	of	ADP
alces-146	71	19	index	index	NOUN
alces-146	71	20	counts	count	NOUN
alces-146	71	21	.	.	PUNCT
alces-146	72	1	because	because	SCONJ
alces-146	72	2	the	the	DET
alces-146	72	3	response	response	NOUN
alces-146	72	4	variable	variable	NOUN
alces-146	72	5	in	in	ADP
alces-146	72	6	each	each	DET
alces-146	72	7	case	case	NOUN
alces-146	72	8	was	be	AUX
alces-146	72	9	the	the	DET
alces-146	72	10	ratio	ratio	NOUN
alces-146	72	11	of	of	ADP
alces-146	72	12	the	the	DET
alces-146	72	13	natural	natural	ADJ
alces-146	72	14	logarithm	logarithm	NOUN
alces-146	72	15	of	of	ADP
alces-146	72	16	raw	raw	ADJ
alces-146	72	17	counts	count	NOUN
alces-146	72	18	in	in	ADP
alces-146	72	19	successive	successive	ADJ
alces-146	72	20	years	year	NOUN
alces-146	72	21	,	,	PUNCT
alces-146	72	22	we	we	PRON
alces-146	72	23	used	use	VERB
alces-146	72	24	as	as	ADP
alces-146	72	25	independent	independent	ADJ
alces-146	72	26	variables	variable	NOUN
alces-146	72	27	the	the	DET
alces-146	72	28	ratios	ratio	NOUN
alces-146	72	29	of	of	ADP
alces-146	72	30	the	the	DET
alces-146	72	31	natural	natural	ADJ
alces-146	72	32	logarithms	logarithm	NOUN
alces-146	72	33	of	of	ADP
alces-146	72	34	the	the	DET
alces-146	72	35	putative	putative	ADJ
alces-146	72	36	explanatory	explanatory	ADJ
alces-146	72	37	variables	variable	NOUN
alces-146	72	38	in	in	ADP
alces-146	72	39	those	those	DET
alces-146	72	40	same	same	ADJ
alces-146	72	41	2	2	NUM
alces-146	72	42	years	year	NOUN
alces-146	72	43	.	.	PUNCT
alces-146	73	1	thus	thus	ADV
alces-146	73	2	,	,	PUNCT
alces-146	73	3	our	our	PRON
alces-146	73	4	models	model	NOUN
alces-146	73	5	took	take	VERB
alces-146	73	6	the	the	DET
alces-146	73	7	form	form	NOUN
alces-146	73	8	:	:	PUNCT
alces-146	73	9	y	y	PROPN
alces-146	73	10	¼	¼	NOUN
alces-146	73	11	aþ	aþ	NOUN
alces-146	73	12	b1x1	b1x1	PROPN
alces-146	73	13	þ	þ	NOUN
alces-146	73	14	.	.	PUNCT
alces-146	73	15	.	.	PUNCT
alces-146	73	16	.	.	PUNCT
alces-146	74	1	þ	þ	PROPN
alces-146	75	1	b4x4	b4x4	ADP
alces-146	75	2	þ	þ	NOUN
alces-146	75	3	e	e	X
alces-146	75	4	ð1þ	ð1þ	X
alces-146	75	5	where	where	SCONJ
alces-146	75	6	:	:	PUNCT
alces-146	75	7	y	y	PROPN
alces-146	75	8	=	=	PUNCT
alces-146	75	9	ln	ln	PROPN
alces-146	75	10	(	(	PUNCT
alces-146	75	11	count	count	NOUN
alces-146	75	12	(	(	PUNCT
alces-146	75	13	t+1	t+1	PROPN
alces-146	75	14	)	)	PUNCT
alces-146	75	15	/	/	SYM
alces-146	75	16	count	count	NOUN
alces-146	75	17	(	(	PUNCT
alces-146	75	18	t	t	NOUN
alces-146	75	19	)	)	PUNCT
alces-146	75	20	)	)	PUNCT
alces-146	75	21	,	,	PUNCT
alces-146	75	22	the	the	DET
alces-146	75	23	index	index	NOUN
alces-146	75	24	counts	count	NOUN
alces-146	75	25	of	of	ADP
alces-146	75	26	moose	moose	NOUN
alces-146	75	27	counted	count	VERB
alces-146	75	28	in	in	ADP
alces-146	75	29	each	each	DET
alces-146	75	30	year	year	NOUN
alces-146	75	31	(	(	PUNCT
alces-146	75	32	t	t	PROPN
alces-146	75	33	)	)	PUNCT
alces-146	75	34	,	,	PUNCT
alces-146	75	35	α	α	X
alces-146	75	36	=	=	VERB
alces-146	75	37	the	the	DET
alces-146	75	38	intrinsic	intrinsic	ADJ
alces-146	75	39	,	,	PUNCT
alces-146	75	40	annual	annual	ADJ
alces-146	75	41	growth	growth	NOUN
alces-146	75	42	rate	rate	NOUN
alces-146	75	43	(	(	PUNCT
alces-146	75	44	because	because	SCONJ
alces-146	75	45	the	the	DET
alces-146	75	46	interval	interval	NOUN
alces-146	75	47	between	between	ADP
alces-146	75	48	successive	successive	ADJ
alces-146	75	49	counts	count	NOUN
alces-146	75	50	were	be	AUX
alces-146	75	51	all	all	DET
alces-146	75	52	1	1	NUM
alces-146	75	53	year	year	NOUN
alces-146	75	54	in	in	ADP
alces-146	75	55	our	our	PRON
alces-146	75	56	case	case	NOUN
alces-146	75	57	)	)	PUNCT
alces-146	75	58	,	,	PUNCT
alces-146	75	59	β	β	NOUN
alces-146	75	60	=	=	VERB
alces-146	75	61	coefficients	coefficient	NOUN
alces-146	75	62	to	to	PART
alces-146	75	63	be	be	AUX
alces-146	75	64	estimated	estimate	VERB
alces-146	75	65	from	from	ADP
alces-146	75	66	data	datum	NOUN
alces-146	75	67	for	for	ADP
alces-146	75	68	each	each	DET
alces-146	75	69	covariate	covariate	NOUN
alces-146	75	70	hypothesized	hypothesize	VERB
alces-146	75	71	to	to	PART
alces-146	75	72	affect	affect	VERB
alces-146	75	73	sightability	sightability	NOUN
alces-146	75	74	,	,	PUNCT
alces-146	75	75	x1	x1	PROPN
alces-146	75	76	=	=	SYM
alces-146	75	77	ln(percent	ln(percent	PROPN
alces-146	75	78	forest	forest	NOUN
alces-146	75	79	cover	cover	NOUN
alces-146	75	80	(	(	PUNCT
alces-146	75	81	t+1	t+1	NUM
alces-146	75	82	)	)	PUNCT
alces-146	75	83	/	/	SYM
alces-146	75	84	percent	percent	NOUN
alces-146	75	85	forest	forest	NOUN
alces-146	75	86	cover	cover	NOUN
alces-146	75	87	(	(	PUNCT
alces-146	75	88	t	t	NOUN
alces-146	75	89	)	)	PUNCT
alces-146	75	90	)	)	PUNCT
alces-146	75	91	,	,	PUNCT
alces-146	76	1	x2	x2	PROPN
alces-146	76	2	=	=	PROPN
alces-146	76	3	ln(percent	ln(percent	PROPN
alces-146	76	4	snow	snow	NOUN
alces-146	76	5	cover	cover	NOUN
alces-146	76	6	(	(	PUNCT
alces-146	76	7	t+1	t+1	NUM
alces-146	76	8	)	)	PUNCT
alces-146	76	9	/	/	SYM
alces-146	76	10	percent	percent	NOUN
alces-146	76	11	snow	snow	NOUN
alces-146	76	12	cover	cover	NOUN
alces-146	76	13	(	(	PUNCT
alces-146	76	14	t	t	NOUN
alces-146	76	15	)	)	PUNCT
alces-146	76	16	)	)	PUNCT
alces-146	76	17	,	,	PUNCT
alces-146	76	18	x3	x3	ADJ
alces-146	76	19	=	=	SYM
alces-146	76	20	ln(activity	ln(activity	NOUN
alces-146	76	21	index	index	NOUN
alces-146	76	22	(	(	PUNCT
alces-146	76	23	t+1	t+1	NOUN
alces-146	76	24	)	)	PUNCT
alces-146	76	25	/	/	SYM
alces-146	76	26	activity	activity	NOUN
alces-146	76	27	index	index	NOUN
alces-146	76	28	(	(	PUNCT
alces-146	76	29	t	t	PROPN
alces-146	76	30	)	)	PUNCT
alces-146	76	31	)	)	PUNCT
alces-146	76	32	,	,	PUNCT
alces-146	76	33	x4	x4	PROPN
alces-146	76	34	=	=	PUNCT
alces-146	77	1	ln(units	ln(unit	NOUN
alces-146	77	2	surveyed	survey	VERB
alces-146	77	3	(	(	PUNCT
alces-146	77	4	t+1	t+1	NOUN
alces-146	77	5	)	)	PUNCT
alces-146	77	6	/	/	SYM
alces-146	77	7	units	unit	NOUN
alces-146	77	8	surveyed	survey	VERB
alces-146	77	9	(	(	PUNCT
alces-146	77	10	t	t	PROPN
alces-146	77	11	)	)	PUNCT
alces-146	77	12	)	)	PUNCT
alces-146	77	13	,	,	PUNCT
alces-146	77	14	and	and	CCONJ
alces-146	77	15	e	e	X
alces-146	77	16	=	=	NOUN
alces-146	77	17	error	error	NOUN
alces-146	77	18	,	,	PUNCT
alces-146	77	19	assumed	assume	VERB
alces-146	77	20	normally	normally	ADV
alces-146	77	21	distributed	distribute	VERB
alces-146	77	22	with	with	ADP
alces-146	77	23	constant	constant	ADJ
alces-146	77	24	variance	variance	NOUN
alces-146	77	25	.	.	PUNCT
alces-146	78	1	60	60	NUM
alces-146	78	2	estimating	estimate	VERB
alces-146	78	3	moose	moose	NOUN
alces-146	78	4	abundance	abundance	NOUN
alces-146	78	5	–	–	PUNCT
alces-146	78	6	harris	harris	PROPN
alces-146	78	7	et	et	PROPN
alces-146	78	8	al	al	PROPN
alces-146	78	9	.	.	PROPN
alces-146	78	10	alces	alce	NOUN
alces-146	78	11	vol	vol	NOUN
alces-146	78	12	.	.	PROPN
alces-146	78	13	51	51	NUM
alces-146	78	14	,	,	PUNCT
alces-146	78	15	2015	2015	NUM
alces-146	78	16	we	we	PRON
alces-146	78	17	then	then	ADV
alces-146	78	18	assessed	assess	VERB
alces-146	78	19	the	the	DET
alces-146	78	20	strength	strength	NOUN
alces-146	78	21	of	of	ADP
alces-146	78	22	evidence	evidence	NOUN
alces-146	78	23	for	for	ADP
alces-146	78	24	each	each	PRON
alces-146	78	25	of	of	ADP
alces-146	78	26	the	the	DET
alces-146	78	27	16	16	NUM
alces-146	78	28	possible	possible	ADJ
alces-146	78	29	additive	additive	NOUN
alces-146	78	30	models	model	NOUN
alces-146	78	31	(	(	PUNCT
alces-146	78	32	all	all	DET
alces-146	78	33	possible	possible	ADJ
alces-146	78	34	combinations	combination	NOUN
alces-146	78	35	,	,	PUNCT
alces-146	78	36	plus	plus	CCONJ
alces-146	78	37	a	a	DET
alces-146	78	38	null	null	ADJ
alces-146	78	39	model	model	NOUN
alces-146	78	40	with	with	ADP
alces-146	78	41	no	no	DET
alces-146	78	42	covariates	covariate	NOUN
alces-146	78	43	)	)	PUNCT
alces-146	78	44	using	use	VERB
alces-146	78	45	aicc	aicc	NOUN
alces-146	78	46	.	.	PUNCT
alces-146	79	1	in	in	ADP
alces-146	79	2	testing	testing	NOUN
alces-146	79	3	for	for	ADP
alces-146	79	4	significant	significant	ADJ
alces-146	79	5	pairwise	pairwise	NOUN
alces-146	79	6	correlations	correlation	NOUN
alces-146	79	7	(	(	PUNCT
alces-146	79	8	p	p	X
alces-146	79	9	=	=	NOUN
alces-146	79	10	0.05	0.05	NUM
alces-146	79	11	)	)	PUNCT
alces-146	79	12	,	,	PUNCT
alces-146	79	13	we	we	PRON
alces-146	79	14	did	do	AUX
alces-146	79	15	not	not	PART
alces-146	79	16	detect	detect	VERB
alces-146	79	17	any	any	DET
alces-146	79	18	evidence	evidence	NOUN
alces-146	79	19	of	of	ADP
alces-146	79	20	collinearity	collinearity	NOUN
alces-146	79	21	in	in	ADP
alces-146	79	22	the	the	DET
alces-146	79	23	above	above	ADJ
alces-146	79	24	set	set	NOUN
alces-146	79	25	of	of	ADP
alces-146	79	26	predictors	predictor	NOUN
alces-146	79	27	.	.	PUNCT
alces-146	80	1	our	our	PRON
alces-146	80	2	best	good	ADJ
alces-146	80	3	estimate	estimate	NOUN
alces-146	80	4	of	of	ADP
alces-146	80	5	the	the	DET
alces-146	80	6	rate	rate	NOUN
alces-146	80	7	of	of	ADP
alces-146	80	8	growth	growth	NOUN
alces-146	80	9	during	during	ADP
alces-146	80	10	the	the	DET
alces-146	80	11	time	time	NOUN
alces-146	80	12	period	period	NOUN
alces-146	80	13	was	be	AUX
alces-146	80	14	the	the	DET
alces-146	80	15	model	model	NOUN
alces-146	80	16	averaged	average	VERB
alces-146	80	17	estimate	estimate	NOUN
alces-146	80	18	,	,	PUNCT
alces-146	80	19	â.	â.	ADJ
alces-146	80	20	results	result	VERB
alces-146	80	21	the	the	DET
alces-146	80	22	number	number	NOUN
alces-146	80	23	of	of	ADP
alces-146	80	24	moose	moose	NOUN
alces-146	80	25	observed	observe	VERB
alces-146	80	26	annually	annually	ADV
alces-146	80	27	ranged	range	VERB
alces-146	80	28	from	from	ADP
alces-146	80	29	81	81	NUM
alces-146	80	30	(	(	PUNCT
alces-146	80	31	2002	2002	NUM
alces-146	80	32	)	)	PUNCT
alces-146	80	33	to	to	ADP
alces-146	80	34	185	185	NUM
alces-146	80	35	(	(	PUNCT
alces-146	80	36	2012	2012	NUM
alces-146	80	37	)	)	PUNCT
alces-146	80	38	.	.	PUNCT
alces-146	81	1	in	in	ADP
alces-146	81	2	total	total	ADJ
alces-146	81	3	,	,	PUNCT
alces-146	81	4	810	810	NUM
alces-146	81	5	moose	moose	NOUN
alces-146	81	6	groups	group	NOUN
alces-146	81	7	were	be	AUX
alces-146	81	8	observed	observe	VERB
alces-146	81	9	in	in	ADP
alces-146	81	10	the	the	DET
alces-146	81	11	11	11	NUM
alces-146	81	12	years	year	NOUN
alces-146	81	13	,	,	PUNCT
alces-146	81	14	with	with	ADP
alces-146	81	15	a	a	DET
alces-146	81	16	mean	mean	ADJ
alces-146	81	17	group	group	NOUN
alces-146	81	18	size	size	NOUN
alces-146	81	19	of	of	ADP
alces-146	81	20	1.69	1.69	NUM
alces-146	81	21	(	(	PUNCT
alces-146	81	22	sd	sd	NOUN
alces-146	81	23	=	=	SYM
alces-146	81	24	0.98	0.98	NUM
alces-146	81	25	,	,	PUNCT
alces-146	81	26	range	range	NOUN
alces-146	81	27	=	=	SYM
alces-146	81	28	1–10	1–10	NOUN
alces-146	81	29	)	)	PUNCT
alces-146	81	30	.	.	PUNCT
alces-146	82	1	snow	snow	NOUN
alces-146	82	2	cover	cover	NOUN
alces-146	82	3	was	be	AUX
alces-146	82	4	generally	generally	ADV
alces-146	82	5	high	high	ADJ
alces-146	82	6	,	,	PUNCT
alces-146	82	7	and	and	CCONJ
alces-146	82	8	percent	percent	NOUN
alces-146	82	9	vegetative	vegetative	ADJ
alces-146	82	10	cover	cover	NOUN
alces-146	82	11	at	at	ADP
alces-146	82	12	observation	observation	NOUN
alces-146	82	13	sites	site	NOUN
alces-146	82	14	ranged	range	VERB
alces-146	82	15	from	from	ADP
alces-146	82	16	0–100	0–100	NOUN
alces-146	82	17	%	%	NOUN
alces-146	82	18	(	(	PUNCT
alces-146	82	19	annual	annual	ADJ
alces-146	82	20	range	range	NOUN
alces-146	82	21	=	=	SYM
alces-146	82	22	23–52	23–52	NUM
alces-146	82	23	%	%	NOUN
alces-146	82	24	)	)	PUNCT
alces-146	82	25	(	(	PUNCT
alces-146	82	26	table	table	NOUN
alces-146	82	27	1	1	NUM
alces-146	82	28	)	)	PUNCT
alces-146	82	29	.	.	PUNCT
alces-146	83	1	as	as	SCONJ
alces-146	83	2	expected	expect	VERB
alces-146	83	3	,	,	PUNCT
alces-146	83	4	the	the	DET
alces-146	83	5	4	4	NUM
alces-146	83	6	models	model	NOUN
alces-146	83	7	generated	generate	VERB
alces-146	83	8	point	point	NOUN
alces-146	83	9	estimates	estimate	NOUN
alces-146	83	10	of	of	ADP
alces-146	83	11	more	more	ADJ
alces-146	83	12	moose	moose	NOUN
alces-146	83	13	than	than	SCONJ
alces-146	83	14	observed	observe	VERB
alces-146	83	15	as	as	ADP
alces-146	83	16	raw	raw	ADJ
alces-146	83	17	counts	count	NOUN
alces-146	83	18	,	,	PUNCT
alces-146	83	19	both	both	CCONJ
alces-146	83	20	because	because	SCONJ
alces-146	83	21	of	of	ADP
alces-146	83	22	imperfect	imperfect	ADJ
alces-146	83	23	detection	detection	NOUN
alces-146	83	24	and	and	CCONJ
alces-146	83	25	incomplete	incomplete	ADJ
alces-146	83	26	sample	sample	NOUN
alces-146	83	27	coverage	coverage	NOUN
alces-146	83	28	.	.	PUNCT
alces-146	84	1	however	however	ADV
alces-146	84	2	,	,	PUNCT
alces-146	84	3	the	the	DET
alces-146	84	4	4	4	NUM
alces-146	84	5	abundance	abundance	NOUN
alces-146	84	6	estimates	estimate	NOUN
alces-146	84	7	using	use	VERB
alces-146	84	8	identical	identical	ADJ
alces-146	84	9	data	datum	NOUN
alces-146	84	10	sets	set	NOUN
alces-146	84	11	varied	vary	VERB
alces-146	84	12	considerably	considerably	ADV
alces-146	84	13	within	within	ADP
alces-146	84	14	each	each	DET
alces-146	84	15	year	year	NOUN
alces-146	84	16	(	(	PUNCT
alces-146	84	17	fig	fig	NOUN
alces-146	84	18	.	.	PUNCT
alces-146	84	19	1	1	NUM
alces-146	84	20	)	)	PUNCT
alces-146	84	21	.	.	PUNCT
alces-146	85	1	point	point	NOUN
alces-146	85	2	estimates	estimate	NOUN
alces-146	85	3	produced	produce	VERB
alces-146	85	4	by	by	ADP
alces-146	85	5	the	the	DET
alces-146	85	6	wyoming	wyoming	NOUN
alces-146	85	7	model	model	NOUN
alces-146	85	8	averaged	average	VERB
alces-146	85	9	5.6x	5.6x	NUM
alces-146	85	10	higher	high	ADJ
alces-146	85	11	(	(	PUNCT
alces-146	85	12	range	range	NOUN
alces-146	85	13	=	=	SYM
alces-146	85	14	3.2–6.9	3.2–6.9	NUM
alces-146	85	15	)	)	PUNCT
alces-146	85	16	than	than	ADP
alces-146	85	17	those	those	PRON
alces-146	85	18	produced	produce	VERB
alces-146	85	19	by	by	ADP
alces-146	85	20	the	the	DET
alces-146	85	21	minnesota	minnesota	PROPN
alces-146	85	22	model	model	PROPN
alces-146	85	23	.	.	PUNCT
alces-146	86	1	point	point	NOUN
alces-146	86	2	estimates	estimate	NOUN
alces-146	86	3	produced	produce	VERB
alces-146	86	4	by	by	ADP
alces-146	86	5	the	the	DET
alces-146	86	6	2	2	NUM
alces-146	86	7	bc	bc	PROPN
alces-146	86	8	models	model	NOUN
alces-146	86	9	produced	produce	VERB
alces-146	86	10	similar	similar	ADJ
alces-146	86	11	results	result	NOUN
alces-146	86	12	(	(	PUNCT
alces-146	86	13	‘	'	PUNCT
alces-146	86	14	bc-2	bc-2	NUM
alces-146	86	15	’	'	PUNCT
alces-146	86	16	model	model	NOUN
alces-146	86	17	not	not	PART
alces-146	86	18	shown	show	VERB
alces-146	86	19	for	for	ADP
alces-146	86	20	clarity	clarity	NOUN
alces-146	86	21	)	)	PUNCT
alces-146	86	22	,	,	PUNCT
alces-146	86	23	and	and	CCONJ
alces-146	86	24	were	be	AUX
alces-146	86	25	generally	generally	ADV
alces-146	86	26	closer	close	ADJ
alces-146	86	27	to	to	ADP
alces-146	86	28	the	the	DET
alces-146	86	29	wyoming	wyoming	NOUN
alces-146	86	30	than	than	ADP
alces-146	86	31	minnesota	minnesota	PROPN
alces-146	86	32	model	model	PROPN
alces-146	86	33	.	.	PUNCT
alces-146	87	1	there	there	PRON
alces-146	87	2	was	be	VERB
alces-146	87	3	considerable	considerable	ADJ
alces-146	87	4	annual	annual	ADJ
alces-146	87	5	fluctuation	fluctuation	NOUN
alces-146	87	6	in	in	ADP
alces-146	87	7	abundance	abundance	NOUN
alces-146	87	8	estimated	estimate	VERB
alces-146	87	9	by	by	ADP
alces-146	87	10	these	these	DET
alces-146	87	11	models	model	NOUN
alces-146	87	12	;	;	PUNCT
alces-146	87	13	in	in	ADP
alces-146	87	14	some	some	DET
alces-146	87	15	cases	case	NOUN
alces-146	87	16	,	,	PUNCT
alces-146	87	17	annual	annual	ADJ
alces-146	87	18	increases	increase	NOUN
alces-146	87	19	far	far	ADV
alces-146	87	20	exceeded	exceed	VERB
alces-146	87	21	the	the	DET
alces-146	87	22	biological	biological	ADJ
alces-146	87	23	capability	capability	NOUN
alces-146	87	24	of	of	ADP
alces-146	87	25	even	even	ADV
alces-146	87	26	the	the	DET
alces-146	87	27	most	most	ADV
alces-146	87	28	productive	productive	ADJ
alces-146	87	29	moose	moose	NOUN
alces-146	87	30	population	population	NOUN
alces-146	87	31	(	(	PUNCT
alces-146	87	32	e.g.	e.g.	ADV
alces-146	87	33	,	,	PUNCT
alces-146	87	34	more	more	ADJ
alces-146	87	35	than	than	ADP
alces-146	87	36	doubling	double	VERB
alces-146	87	37	between	between	ADP
alces-146	87	38	2006	2006	NUM
alces-146	87	39	and	and	CCONJ
alces-146	87	40	2007	2007	NUM
alces-146	87	41	in	in	ADP
alces-146	87	42	all	all	DET
alces-146	87	43	4	4	NUM
alces-146	87	44	models	model	NOUN
alces-146	87	45	)	)	PUNCT
alces-146	87	46	.	.	PUNCT
alces-146	88	1	in	in	ADP
alces-146	88	2	addition	addition	NOUN
alces-146	88	3	,	,	PUNCT
alces-146	88	4	most	most	ADJ
alces-146	88	5	abundance	abundance	NOUN
alces-146	88	6	estimates	estimate	NOUN
alces-146	88	7	had	have	VERB
alces-146	88	8	wide	wide	ADJ
alces-146	88	9	confidence	confidence	NOUN
alces-146	88	10	intervals	interval	NOUN
alces-146	88	11	,	,	PUNCT
alces-146	88	12	especially	especially	ADV
alces-146	88	13	the	the	DET
alces-146	88	14	wyoming	wyoming	PROPN
alces-146	88	15	and	and	CCONJ
alces-146	88	16	bc	bc	PROPN
alces-146	88	17	models	model	NOUN
alces-146	88	18	.	.	PUNCT
alces-146	89	1	the	the	DET
alces-146	89	2	annual	annual	ADJ
alces-146	89	3	confidence	confidence	NOUN
alces-146	89	4	intervals	interval	NOUN
alces-146	89	5	expressed	express	VERB
alces-146	89	6	as	as	ADP
alces-146	89	7	a	a	DET
alces-146	89	8	%	%	NOUN
alces-146	89	9	of	of	ADP
alces-146	89	10	the	the	DET
alces-146	89	11	point	point	NOUN
alces-146	89	12	estimates	estimate	NOUN
alces-146	89	13	averaged	average	VERB
alces-146	89	14	157	157	NUM
alces-146	89	15	%	%	NOUN
alces-146	89	16	for	for	ADP
alces-146	89	17	the	the	DET
alces-146	89	18	minnesota	minnesota	PROPN
alces-146	89	19	model	model	NOUN
alces-146	89	20	,	,	PUNCT
alces-146	89	21	356	356	NUM
alces-146	89	22	%	%	NOUN
alces-146	89	23	for	for	ADP
alces-146	89	24	the	the	DET
alces-146	89	25	wyoming	wyoming	NOUN
alces-146	89	26	model	model	NOUN
alces-146	89	27	,	,	PUNCT
alces-146	89	28	and	and	CCONJ
alces-146	89	29	368	368	NUM
alces-146	89	30	%	%	NOUN
alces-146	89	31	for	for	ADP
alces-146	89	32	the	the	DET
alces-146	89	33	bc	bc	PROPN
alces-146	89	34	model	model	PROPN
alces-146	89	35	.	.	PUNCT
alces-146	90	1	the	the	DET
alces-146	90	2	proportion	proportion	NOUN
alces-146	90	3	of	of	ADP
alces-146	90	4	total	total	ADJ
alces-146	90	5	variance	variance	NOUN
alces-146	90	6	due	due	ADP
alces-146	90	7	to	to	ADP
alces-146	90	8	the	the	DET
alces-146	90	9	table	table	NOUN
alces-146	90	10	1	1	NUM
alces-146	90	11	.	.	PUNCT
alces-146	90	12	basic	basic	ADJ
alces-146	90	13	data	datum	NOUN
alces-146	90	14	used	use	VERB
alces-146	90	15	in	in	ADP
alces-146	90	16	application	application	NOUN
alces-146	90	17	of	of	ADP
alces-146	90	18	ancillary	ancillary	ADJ
alces-146	90	19	data	datum	NOUN
alces-146	90	20	to	to	PART
alces-146	90	21	refine	refine	VERB
alces-146	90	22	trend	trend	NOUN
alces-146	90	23	estimates	estimate	NOUN
alces-146	90	24	of	of	ADP
alces-146	90	25	moose	moose	PROPN
alces-146	90	26	abundance	abundance	PROPN
alces-146	90	27	,	,	PUNCT
alces-146	90	28	spokane	spokane	NOUN
alces-146	90	29	district	district	PROPN
alces-146	90	30	in	in	ADP
alces-146	90	31	northeastern	northeastern	ADJ
alces-146	90	32	washington	washington	PROPN
alces-146	90	33	,	,	PUNCT
alces-146	90	34	winters	winter	NOUN
alces-146	90	35	2002–2012	2002–2012	NUM
alces-146	90	36	.	.	PUNCT
alces-146	90	37	shown	show	VERB
alces-146	90	38	are	be	AUX
alces-146	90	39	number	number	NOUN
alces-146	90	40	of	of	ADP
alces-146	90	41	moose	moose	NOUN
alces-146	90	42	seen	see	VERB
alces-146	90	43	during	during	ADP
alces-146	90	44	annual	annual	ADJ
alces-146	90	45	helicopter	helicopter	NOUN
alces-146	90	46	flights	flight	NOUN
alces-146	90	47	;	;	PUNCT
alces-146	90	48	number	number	NOUN
alces-146	90	49	of	of	ADP
alces-146	90	50	survey	survey	NOUN
alces-146	90	51	units	unit	NOUN
alces-146	90	52	flown	fly	VERB
alces-146	90	53	each	each	DET
alces-146	90	54	year	year	NOUN
alces-146	90	55	;	;	PUNCT
alces-146	90	56	the	the	DET
alces-146	90	57	mean	mean	ADJ
alces-146	90	58	activity	activity	NOUN
alces-146	90	59	index	index	NOUN
alces-146	90	60	of	of	ADP
alces-146	90	61	observed	observe	VERB
alces-146	90	62	moose	moose	NOUN
alces-146	90	63	(	(	PUNCT
alces-146	90	64	weighted	weight	VERB
alces-146	90	65	by	by	ADP
alces-146	90	66	group	group	NOUN
alces-146	90	67	size	size	NOUN
alces-146	90	68	)	)	PUNCT
alces-146	90	69	where	where	SCONJ
alces-146	90	70	1	1	NUM
alces-146	90	71	=	=	NOUN
alces-146	90	72	bedded	bed	VERB
alces-146	90	73	,	,	PUNCT
alces-146	90	74	2	2	NUM
alces-146	90	75	=	=	SYM
alces-146	90	76	standing	standing	NOUN
alces-146	90	77	,	,	PUNCT
alces-146	90	78	3	3	NUM
alces-146	90	79	=	=	SYM
alces-146	90	80	moving	move	VERB
alces-146	90	81	;	;	PUNCT
alces-146	90	82	weighted	weight	VERB
alces-146	90	83	mean	mean	ADJ
alces-146	90	84	percent	percent	NOUN
alces-146	90	85	snow	snow	NOUN
alces-146	90	86	cover	cover	NOUN
alces-146	90	87	near	near	ADP
alces-146	90	88	observed	observed	ADJ
alces-146	90	89	moose	moose	NOUN
alces-146	90	90	,	,	PUNCT
alces-146	90	91	and	and	CCONJ
alces-146	90	92	weighted	weight	VERB
alces-146	90	93	mean	mean	ADJ
alces-146	90	94	percent	percent	NOUN
alces-146	90	95	vegetation	vegetation	NOUN
alces-146	90	96	cover	cover	NOUN
alces-146	90	97	near	near	ADP
alces-146	90	98	observed	observe	VERB
alces-146	90	99	moose	moose	NOUN
alces-146	90	100	.	.	PUNCT
alces-146	91	1	year	year	NOUN
alces-146	91	2	raw	raw	ADJ
alces-146	91	3	count	count	NOUN
alces-146	91	4	(	(	PUNCT
alces-146	91	5	moose	moose	NOUN
alces-146	91	6	observed	observe	VERB
alces-146	91	7	)	)	PUNCT
alces-146	91	8	number	number	NOUN
alces-146	91	9	of	of	ADP
alces-146	91	10	units	unit	NOUN
alces-146	91	11	surveyed	survey	VERB
alces-146	91	12	mean	mean	PROPN
alces-146	91	13	moose	moose	NOUN
alces-146	91	14	activity	activity	NOUN
alces-146	91	15	index	index	NOUN
alces-146	91	16	mean	mean	NOUN
alces-146	91	17	percent	percent	NOUN
alces-146	91	18	snow	snow	NOUN
alces-146	91	19	cover	cover	NOUN
alces-146	91	20	mean	mean	ADJ
alces-146	91	21	percent	percent	NOUN
alces-146	91	22	vegetation	vegetation	NOUN
alces-146	91	23	cover	cover	NOUN
alces-146	91	24	2002	2002	NUM
alces-146	91	25	81	81	NUM
alces-146	91	26	12	12	NUM
alces-146	91	27	1.91	1.91	NUM
alces-146	91	28	78.56	78.56	NUM
alces-146	91	29	51.57	51.57	NUM
alces-146	91	30	2003	2003	NUM
alces-146	91	31	59	59	NUM
alces-146	91	32	17	17	NUM
alces-146	91	33	1.69	1.69	NUM
alces-146	91	34	84.07	84.07	NUM
alces-146	91	35	35.85	35.85	NUM
alces-146	91	36	2004	2004	NUM
alces-146	91	37	114	114	NUM
alces-146	91	38	16	16	NUM
alces-146	91	39	1.71	1.71	NUM
alces-146	91	40	99.84	99.84	NUM
alces-146	91	41	23.46	23.46	NUM
alces-146	91	42	2005	2005	NUM
alces-146	91	43	74	74	NUM
alces-146	91	44	9	9	NUM
alces-146	91	45	1.54	1.54	NUM
alces-146	91	46	76.42	76.42	NUM
alces-146	91	47	50.88	50.88	NUM
alces-146	91	48	2006	2006	NUM
alces-146	91	49	94	94	NUM
alces-146	91	50	18	18	NUM
alces-146	91	51	1.45	1.45	NUM
alces-146	91	52	83.24	83.24	NUM
alces-146	91	53	28.46	28.46	NUM
alces-146	91	54	2007	2007	NUM
alces-146	91	55	112	112	NUM
alces-146	91	56	13	13	NUM
alces-146	91	57	1.42	1.42	NUM
alces-146	91	58	100.00	100.00	NUM
alces-146	91	59	49.46	49.46	NUM
alces-146	91	60	2008	2008	NUM
alces-146	91	61	116	116	NUM
alces-146	91	62	20	20	NUM
alces-146	91	63	1.41	1.41	NUM
alces-146	91	64	100.00	100.00	NUM
alces-146	91	65	42.33	42.33	NUM
alces-146	91	66	2009	2009	NUM
alces-146	91	67	124	124	NUM
alces-146	91	68	20	20	NUM
alces-146	91	69	1.45	1.45	NUM
alces-146	91	70	95.56	95.56	NUM
alces-146	91	71	48.02	48.02	NUM
alces-146	91	72	2010	2010	NUM
alces-146	91	73	168	168	NUM
alces-146	91	74	20	20	NUM
alces-146	91	75	1.64	1.64	NUM
alces-146	91	76	99.58	99.58	NUM
alces-146	91	77	51.01	51.01	NUM
alces-146	91	78	2011	2011	NUM
alces-146	91	79	117	117	NUM
alces-146	91	80	20	20	NUM
alces-146	91	81	1.55	1.55	NUM
alces-146	91	82	70.09	70.09	NUM
alces-146	91	83	45.81	45.81	NUM
alces-146	91	84	2012	2012	NUM
alces-146	91	85	185	185	NUM
alces-146	91	86	22	22	NUM
alces-146	91	87	1.49	1.49	NUM
alces-146	91	88	96.73	96.73	NUM
alces-146	91	89	44.41	44.41	NUM
alces-146	91	90	alces	alce	NOUN
alces-146	91	91	vol	vol	NOUN
alces-146	91	92	.	.	PROPN
alces-146	91	93	51	51	NUM
alces-146	91	94	,	,	PUNCT
alces-146	91	95	2015	2015	NUM
alces-146	91	96	harris	harris	X
alces-146	91	97	et	et	PROPN
alces-146	91	98	al	al	PROPN
alces-146	91	99	.	.	PROPN
alces-146	91	100	–	–	PUNCT
alces-146	91	101	estimating	estimate	VERB
alces-146	91	102	moose	moose	NOUN
alces-146	91	103	abundance	abundance	NOUN
alces-146	91	104	61	61	NUM
alces-146	91	105	model	model	NOUN
alces-146	91	106	itself	itself	PRON
alces-146	91	107	was	be	AUX
alces-146	91	108	much	much	ADV
alces-146	91	109	lower	low	ADJ
alces-146	91	110	in	in	ADP
alces-146	91	111	the	the	DET
alces-146	91	112	minnesota	minnesota	PROPN
alces-146	91	113	model	model	NOUN
alces-146	91	114	than	than	ADP
alces-146	91	115	the	the	DET
alces-146	91	116	other	other	ADJ
alces-146	91	117	3	3	NUM
alces-146	91	118	models	model	NOUN
alces-146	91	119	(	(	PUNCT
alces-146	91	120	table	table	NOUN
alces-146	91	121	2	2	NUM
alces-146	91	122	)	)	PUNCT
alces-146	91	123	,	,	PUNCT
alces-146	91	124	whereas	whereas	SCONJ
alces-146	91	125	the	the	DET
alces-146	91	126	proportion	proportion	NOUN
alces-146	91	127	associated	associate	VERB
alces-146	91	128	with	with	ADP
alces-146	91	129	incomplete	incomplete	ADJ
alces-146	91	130	sampling	sampling	NOUN
alces-146	91	131	was	be	AUX
alces-146	91	132	much	much	ADV
alces-146	91	133	higher	high	ADJ
alces-146	91	134	.	.	PUNCT
alces-146	92	1	examined	examine	VERB
alces-146	92	2	over	over	ADP
alces-146	92	3	the	the	DET
alces-146	92	4	11	11	NUM
alces-146	92	5	-	-	PUNCT
alces-146	92	6	year	year	NOUN
alces-146	92	7	time	time	NOUN
alces-146	92	8	period	period	NOUN
alces-146	92	9	,	,	PUNCT
alces-146	92	10	even	even	ADV
alces-146	92	11	the	the	DET
alces-146	92	12	coarse	coarse	ADJ
alces-146	92	13	population	population	NOUN
alces-146	92	14	trends	trend	NOUN
alces-146	92	15	implied	imply	VERB
alces-146	92	16	by	by	ADP
alces-146	92	17	application	application	NOUN
alces-146	92	18	of	of	ADP
alces-146	92	19	the	the	DET
alces-146	92	20	4	4	NUM
alces-146	92	21	sightability	sightability	NOUN
alces-146	92	22	models	model	NOUN
alces-146	92	23	were	be	AUX
alces-146	92	24	inconsistent	inconsistent	ADJ
alces-146	92	25	.	.	PUNCT
alces-146	93	1	why	why	SCONJ
alces-146	93	2	did	do	AUX
alces-146	93	3	the	the	DET
alces-146	93	4	wyoming	wyoming	PROPN
alces-146	93	5	and	and	CCONJ
alces-146	93	6	bc	bc	PROPN
alces-146	93	7	models	model	NOUN
alces-146	93	8	project	project	VERB
alces-146	93	9	so	so	ADV
alces-146	93	10	many	many	ADJ
alces-146	93	11	more	more	ADJ
alces-146	93	12	moose	moose	NOUN
alces-146	93	13	than	than	ADP
alces-146	93	14	the	the	DET
alces-146	93	15	minnesota	minnesota	PROPN
alces-146	93	16	model	model	NOUN
alces-146	93	17	,	,	PUNCT
alces-146	93	18	given	give	VERB
alces-146	93	19	that	that	SCONJ
alces-146	93	20	they	they	PRON
alces-146	93	21	used	use	VERB
alces-146	93	22	a	a	DET
alces-146	93	23	similarly	similarly	ADV
alces-146	93	24	defined	define	VERB
alces-146	93	25	covariate	covariate	NOUN
alces-146	93	26	and	and	CCONJ
alces-146	93	27	an	an	DET
alces-146	93	28	identical	identical	ADJ
alces-146	93	29	data	data	NOUN
alces-146	93	30	set	set	VERB
alces-146	93	31	?	?	PUNCT
alces-146	94	1	graphical	graphical	ADJ
alces-146	94	2	illustration	illustration	NOUN
alces-146	94	3	of	of	ADP
alces-146	94	4	the	the	DET
alces-146	94	5	core	core	NOUN
alces-146	94	6	relationships	relationship	NOUN
alces-146	94	7	underlying	underlie	VERB
alces-146	94	8	the	the	DET
alces-146	94	9	3	3	NUM
alces-146	94	10	models	model	NOUN
alces-146	94	11	(	(	PUNCT
alces-146	94	12	fig	fig	NOUN
alces-146	94	13	.	.	NOUN
alces-146	95	1	2	2	X
alces-146	95	2	)	)	PUNCT
alces-146	95	3	revealed	reveal	VERB
alces-146	95	4	the	the	DET
alces-146	95	5	influence	influence	NOUN
alces-146	95	6	that	that	PRON
alces-146	95	7	a	a	DET
alces-146	95	8	seemingly	seemingly	ADV
alces-146	95	9	minor	minor	ADJ
alces-146	95	10	difference	difference	NOUN
alces-146	95	11	in	in	ADP
alces-146	95	12	the	the	DET
alces-146	95	13	regression	regression	NOUN
alces-146	95	14	coefficient	coefficient	NOUN
alces-146	95	15	associated	associate	VERB
alces-146	95	16	with	with	ADP
alces-146	95	17	detection	detection	NOUN
alces-146	95	18	probability	probability	NOUN
alces-146	95	19	relative	relative	ADJ
alces-146	95	20	to	to	ADP
alces-146	95	21	vegetative	vegetative	ADJ
alces-146	95	22	cover	cover	NOUN
alces-146	95	23	translated	translate	VERB
alces-146	95	24	upon	upon	SCONJ
alces-146	95	25	the	the	DET
alces-146	95	26	estimates	estimate	NOUN
alces-146	95	27	.	.	PUNCT
alces-146	96	1	when	when	SCONJ
alces-146	96	2	visual	visual	ADJ
alces-146	96	3	obstruction	obstruction	NOUN
alces-146	96	4	(	(	PUNCT
alces-146	96	5	forest	forest	NOUN
alces-146	96	6	canopy	canopy	NOUN
alces-146	96	7	cover	cover	NOUN
alces-146	96	8	)	)	PUNCT
alces-146	96	9	is	be	AUX
alces-146	96	10	∼30	∼30	ADP
alces-146	96	11	%	%	NOUN
alces-146	96	12	,	,	PUNCT
alces-146	96	13	the	the	DET
alces-146	96	14	models	model	NOUN
alces-146	96	15	behave	behave	VERB
alces-146	96	16	similarly	similarly	ADV
alces-146	96	17	;	;	PUNCT
alces-146	96	18	however	however	ADV
alces-146	96	19	,	,	PUNCT
alces-146	96	20	when	when	SCONJ
alces-146	96	21	visual	visual	ADJ
alces-146	96	22	obstruction	obstruction	NOUN
alces-146	96	23	approaches	approach	NOUN
alces-146	96	24	≥50	≥50	NUM
alces-146	96	25	%	%	NOUN
alces-146	96	26	the	the	DET
alces-146	96	27	model	model	NOUN
alces-146	96	28	estimates	estimate	NOUN
alces-146	96	29	diverge	diverge	VERB
alces-146	96	30	(	(	PUNCT
alces-146	96	31	fig	fig	NOUN
alces-146	96	32	.	.	PUNCT
alces-146	97	1	3	3	NUM
alces-146	97	2	)	)	PUNCT
alces-146	97	3	.	.	PUNCT
alces-146	98	1	for	for	ADP
alces-146	98	2	example	example	NOUN
alces-146	98	3	,	,	PUNCT
alces-146	98	4	figure	figure	NOUN
alces-146	98	5	3	3	NUM
alces-146	98	6	reconfigures	reconfigure	VERB
alces-146	98	7	the	the	DET
alces-146	98	8	sightability	sightability	NOUN
alces-146	98	9	curves	curve	NOUN
alces-146	98	10	in	in	ADP
alces-146	98	11	terms	term	NOUN
alces-146	98	12	0	0	NUM
alces-146	98	13	1,000	1,000	NUM
alces-146	98	14	2,000	2,000	NUM
alces-146	98	15	3,000	3,000	NUM
alces-146	98	16	4,000	4,000	NUM
alces-146	98	17	5,000	5,000	NUM
alces-146	98	18	6,000	6,000	NUM
alces-146	98	19	7,000	7,000	NUM
alces-146	98	20	8,000	8,000	NUM
alces-146	98	21	9,000	9,000	NUM
alces-146	98	22	10,000	10,000	NUM
alces-146	98	23	2002	2002	NUM
alces-146	98	24	2003	2003	NUM
alces-146	98	25	2004	2004	NUM
alces-146	98	26	2005	2005	NUM
alces-146	98	27	2006	2006	NUM
alces-146	98	28	2007	2007	NUM
alces-146	98	29	2008	2008	NUM
alces-146	98	30	2009	2009	NUM
alces-146	98	31	2010	2010	NUM
alces-146	98	32	2011	2011	NUM
alces-146	98	33	2012	2012	NUM
alces-146	98	34	po	po	NOUN
alces-146	98	35	in	in	ADP
alces-146	98	36	t	t	PROPN
alces-146	98	37	e	e	PROPN
alces-146	98	38	st	st	PROPN
alces-146	98	39	i	i	X
alces-146	98	40	m	m	VERB
alces-146	98	41	at	at	ADP
alces-146	98	42	e	e	NOUN
alces-146	98	43	survey	survey	NOUN
alces-146	98	44	winter	winter	NOUN
alces-146	98	45	fig	fig	NOUN
alces-146	98	46	.	.	PUNCT
alces-146	99	1	1	1	X
alces-146	99	2	.	.	X
alces-146	99	3	population	population	NOUN
alces-146	99	4	trends	trend	NOUN
alces-146	99	5	of	of	ADP
alces-146	99	6	moose	moose	NOUN
alces-146	99	7	in	in	ADP
alces-146	99	8	northeastern	northeastern	ADJ
alces-146	99	9	washington	washington	PROPN
alces-146	99	10	(	(	PUNCT
alces-146	99	11	2002–2012	2002–2012	NUM
alces-146	99	12	)	)	PUNCT
alces-146	99	13	based	base	VERB
alces-146	99	14	on	on	ADP
alces-146	99	15	application	application	NOUN
alces-146	99	16	of	of	ADP
alces-146	99	17	3	3	NUM
alces-146	99	18	moose	moose	NOUN
alces-146	99	19	sightability	sightability	NOUN
alces-146	99	20	models	model	NOUN
alces-146	99	21	.	.	PUNCT
alces-146	100	1	shown	show	VERB
alces-146	100	2	are	be	AUX
alces-146	100	3	point	point	NOUN
alces-146	100	4	estimates	estimate	NOUN
alces-146	100	5	produced	produce	VERB
alces-146	100	6	by	by	ADP
alces-146	100	7	identical	identical	ADJ
alces-146	100	8	data	datum	NOUN
alces-146	100	9	sets	set	NOUN
alces-146	100	10	each	each	DET
alces-146	100	11	year	year	NOUN
alces-146	100	12	by	by	ADP
alces-146	100	13	each	each	DET
alces-146	100	14	model	model	NOUN
alces-146	100	15	.	.	PUNCT
alces-146	101	1	purple	purple	ADJ
alces-146	101	2	triangles	triangle	NOUN
alces-146	101	3	and	and	CCONJ
alces-146	101	4	dashed	dash	VERB
alces-146	101	5	lines	line	NOUN
alces-146	101	6	=	=	SYM
alces-146	101	7	minnesota	minnesota	PROPN
alces-146	101	8	model	model	NOUN
alces-146	101	9	;	;	PUNCT
alces-146	101	10	green	green	ADJ
alces-146	101	11	diamonds	diamond	NOUN
alces-146	101	12	and	and	CCONJ
alces-146	101	13	dashed	dash	VERB
alces-146	101	14	lines	line	NOUN
alces-146	101	15	=	=	SYM
alces-146	101	16	bc	bc	PROPN
alces-146	101	17	model	model	NOUN
alces-146	101	18	;	;	PUNCT
alces-146	101	19	blue	blue	ADJ
alces-146	101	20	squares	square	NOUN
alces-146	101	21	and	and	CCONJ
alces-146	101	22	dashed	dash	VERB
alces-146	101	23	line	line	NOUN
alces-146	101	24	=	=	SYM
alces-146	101	25	wyoming	wyoming	NOUN
alces-146	101	26	model	model	NOUN
alces-146	101	27	.	.	PUNCT
alces-146	102	1	table	table	NOUN
alces-146	102	2	2	2	NUM
alces-146	102	3	.	.	PUNCT
alces-146	103	1	point	point	NOUN
alces-146	103	2	estimates	estimate	NOUN
alces-146	103	3	,	,	PUNCT
alces-146	103	4	upper	upper	ADJ
alces-146	103	5	and	and	CCONJ
alces-146	103	6	lower	low	ADJ
alces-146	103	7	95	95	NUM
alces-146	103	8	%	%	NOUN
alces-146	103	9	confidence	confidence	NOUN
alces-146	103	10	bounds	bound	NOUN
alces-146	103	11	,	,	PUNCT
alces-146	103	12	variance	variance	NOUN
alces-146	103	13	components	component	NOUN
alces-146	103	14	(	(	PUNCT
alces-146	103	15	sampling	sampling	NOUN
alces-146	103	16	,	,	PUNCT
alces-146	103	17	sightability	sightability	NOUN
alces-146	103	18	,	,	PUNCT
alces-146	103	19	model	model	NOUN
alces-146	103	20	)	)	PUNCT
alces-146	103	21	from	from	ADP
alces-146	103	22	application	application	NOUN
alces-146	103	23	of	of	ADP
alces-146	103	24	4	4	NUM
alces-146	103	25	moose	moose	NOUN
alces-146	103	26	sightability	sightability	NOUN
alces-146	103	27	models	model	NOUN
alces-146	103	28	to	to	PART
alces-146	103	29	observation	observation	NOUN
alces-146	103	30	data	datum	NOUN
alces-146	103	31	from	from	ADP
alces-146	103	32	helicopterbased	helicopterbased	ADJ
alces-146	103	33	moose	moose	NOUN
alces-146	103	34	surveys	survey	NOUN
alces-146	103	35	,	,	PUNCT
alces-146	103	36	spokane	spokane	NOUN
alces-146	103	37	district	district	PROPN
alces-146	103	38	,	,	PUNCT
alces-146	103	39	northeastern	northeastern	ADJ
alces-146	103	40	washington	washington	PROPN
alces-146	103	41	,	,	PUNCT
alces-146	103	42	winters	winter	NOUN
alces-146	103	43	2002–2012	2002–2012	NUM
alces-146	103	44	.	.	PUNCT
alces-146	104	1	model	model	PROPN
alces-146	104	2	wyoming	wyoming	PROPN
alces-146	104	3	bc	bc	PROPN
alces-146	104	4	bc-2	bc-2	PROPN
alces-146	104	5	minnesota	minnesota	PROPN
alces-146	104	6	point	point	NOUN
alces-146	104	7	estimate	estimate	VERB
alces-146	104	8	2,488	2,488	NUM
alces-146	104	9	1,323	1,323	NUM
alces-146	104	10	1,866	1,866	NUM
alces-146	104	11	558	558	NUM
alces-146	104	12	lower	low	ADJ
alces-146	104	13	95	95	NUM
alces-146	104	14	%	%	NOUN
alces-146	104	15	985	985	NUM
alces-146	104	16	574	574	NUM
alces-146	104	17	746	746	NUM
alces-146	104	18	353	353	NUM
alces-146	104	19	upper	upper	ADJ
alces-146	104	20	95	95	NUM
alces-146	104	21	%	%	NOUN
alces-146	104	22	9,479	9,479	NUM
alces-146	104	23	4,597	4,597	NUM
alces-146	104	24	7,283	7,283	NUM
alces-146	104	25	1,049	1,049	NUM
alces-146	104	26	sampling	sample	VERB
alces-146	104	27	variance	variance	NOUN
alces-146	104	28	0.07	0.07	NUM
alces-146	104	29	0.12	0.12	NUM
alces-146	104	30	0.07	0.07	NUM
alces-146	104	31	0.64	0.64	NUM
alces-146	104	32	sightability	sightability	NOUN
alces-146	104	33	variance	variance	NOUN
alces-146	104	34	0.10	0.10	NUM
alces-146	104	35	0.11	0.11	NUM
alces-146	104	36	0.12	0.12	NUM
alces-146	104	37	0.16	0.16	NUM
alces-146	104	38	model	model	NOUN
alces-146	104	39	variance	variance	NOUN
alces-146	104	40	0.83	0.83	NUM
alces-146	104	41	0.77	0.77	NUM
alces-146	104	42	0.81	0.81	NUM
alces-146	104	43	0.20	0.20	NUM
alces-146	104	44	62	62	NUM
alces-146	104	45	estimating	estimate	VERB
alces-146	104	46	moose	moose	NOUN
alces-146	104	47	abundance	abundance	NOUN
alces-146	104	48	–	–	PUNCT
alces-146	104	49	harris	harris	PROPN
alces-146	104	50	et	et	PROPN
alces-146	104	51	al	al	PROPN
alces-146	104	52	.	.	PROPN
alces-146	105	1	alces	alce	NOUN
alces-146	105	2	vol	vol	NOUN
alces-146	105	3	.	.	PROPN
alces-146	106	1	51	51	NUM
alces-146	106	2	,	,	PUNCT
alces-146	106	3	2015	2015	NUM
alces-146	106	4	0	0	NUM
alces-146	107	1	0.1	0.1	NUM
alces-146	107	2	0.2	0.2	NUM
alces-146	107	3	0.3	0.3	NUM
alces-146	107	4	0.4	0.4	NUM
alces-146	107	5	0.5	0.5	NUM
alces-146	107	6	0.6	0.6	NUM
alces-146	107	7	0.7	0.7	NUM
alces-146	107	8	0.8	0.8	NUM
alces-146	107	9	0.9	0.9	NUM
alces-146	107	10	1	1	NUM
alces-146	107	11	0	0	NUM
alces-146	107	12	10	10	NUM
alces-146	107	13	20	20	NUM
alces-146	107	14	30	30	NUM
alces-146	107	15	40	40	NUM
alces-146	107	16	50	50	NUM
alces-146	107	17	60	60	NUM
alces-146	107	18	70	70	NUM
alces-146	107	19	80	80	NUM
alces-146	107	20	90	90	NUM
alces-146	107	21	100	100	NUM
alces-146	107	22	de	de	ADP
alces-146	107	23	te	te	PROPN
alces-146	107	24	ct	ct	NUM
alces-146	107	25	io	io	PROPN
alces-146	107	26	n	n	ADV
alces-146	107	27	pr	pr	VERB
alces-146	107	28	ob	ob	ADP
alces-146	107	29	ab	ab	PROPN
alces-146	107	30	ili	ili	PROPN
alces-146	108	1	ty	ty	INTJ
alces-146	108	2	visual	visual	ADJ
alces-146	108	3	obstruc	obstruc	PROPN
alces-146	108	4	�	�	PROPN
alces-146	108	5	on	on	ADP
alces-146	108	6	fig	fig	NOUN
alces-146	108	7	.	.	PUNCT
alces-146	109	1	2	2	X
alces-146	109	2	.	.	NUM
alces-146	109	3	smoothed	smooth	VERB
alces-146	109	4	representations	representation	NOUN
alces-146	109	5	of	of	ADP
alces-146	109	6	functions	function	NOUN
alces-146	109	7	relating	relate	VERB
alces-146	109	8	the	the	DET
alces-146	109	9	probability	probability	NOUN
alces-146	109	10	of	of	ADP
alces-146	109	11	detecting	detect	VERB
alces-146	109	12	a	a	DET
alces-146	109	13	moose	moose	NOUN
alces-146	109	14	group	group	NOUN
alces-146	109	15	given	give	VERB
alces-146	109	16	that	that	SCONJ
alces-146	109	17	it	it	PRON
alces-146	109	18	is	be	AUX
alces-146	109	19	present	present	ADJ
alces-146	109	20	(	(	PUNCT
alces-146	109	21	vertical	vertical	ADJ
alces-146	109	22	axis	axis	NOUN
alces-146	109	23	)	)	PUNCT
alces-146	109	24	to	to	ADP
alces-146	109	25	the	the	DET
alces-146	109	26	percent	percent	NOUN
alces-146	109	27	vegetation	vegetation	NOUN
alces-146	109	28	capable	capable	ADJ
alces-146	109	29	of	of	ADP
alces-146	109	30	obstructing	obstruct	VERB
alces-146	109	31	observation	observation	NOUN
alces-146	109	32	from	from	ADP
alces-146	109	33	a	a	DET
alces-146	109	34	helicopter	helicopter	NOUN
alces-146	109	35	(	(	PUNCT
alces-146	109	36	horizontal	horizontal	ADJ
alces-146	109	37	axis	axis	NOUN
alces-146	109	38	)	)	PUNCT
alces-146	109	39	.	.	PUNCT
alces-146	110	1	the	the	DET
alces-146	110	2	lines	line	NOUN
alces-146	110	3	were	be	AUX
alces-146	110	4	generated	generate	VERB
alces-146	110	5	using	use	VERB
alces-146	110	6	sightability	sightability	NOUN
alces-146	110	7	models	model	NOUN
alces-146	110	8	developed	develop	VERB
alces-146	110	9	in	in	ADP
alces-146	110	10	wyoming	wyoming	PROPN
alces-146	110	11	(	(	PUNCT
alces-146	110	12	anderson	anderson	PROPN
alces-146	110	13	and	and	CCONJ
alces-146	110	14	lindzey	lindzey	PROPN
alces-146	110	15	1996	1996	NUM
alces-146	110	16	;	;	PUNCT
alces-146	110	17	dashed	dash	VERB
alces-146	110	18	blue	blue	ADJ
alces-146	110	19	line	line	NOUN
alces-146	110	20	)	)	PUNCT
alces-146	110	21	,	,	PUNCT
alces-146	110	22	british	british	PROPN
alces-146	110	23	columbia	columbia	PROPN
alces-146	110	24	(	(	PUNCT
alces-146	110	25	qualye	qualye	PROPN
alces-146	110	26	et	et	PROPN
alces-146	110	27	al	al	PROPN
alces-146	110	28	.	.	PROPN
alces-146	110	29	2001	2001	NUM
alces-146	110	30	;	;	PUNCT
alces-146	110	31	solid	solid	ADJ
alces-146	110	32	red	red	ADJ
alces-146	110	33	line	line	NOUN
alces-146	110	34	)	)	PUNCT
alces-146	110	35	,	,	PUNCT
alces-146	110	36	and	and	CCONJ
alces-146	110	37	minnesota	minnesota	PROPN
alces-146	110	38	(	(	PUNCT
alces-146	110	39	guidice	guidice	PROPN
alces-146	110	40	et	et	PROPN
alces-146	110	41	al	al	PROPN
alces-146	110	42	.	.	PROPN
alces-146	110	43	2012	2012	NUM
alces-146	110	44	;	;	PUNCT
alces-146	110	45	dot	dot	NOUN
alces-146	110	46	-	-	PUNCT
alces-146	110	47	dash	dash	NOUN
alces-146	110	48	green	green	ADJ
alces-146	110	49	line	line	NOUN
alces-146	110	50	)	)	PUNCT
alces-146	110	51	.	.	PUNCT
alces-146	111	1	0	0	NUM
alces-146	111	2	2	2	NUM
alces-146	111	3	4	4	NUM
alces-146	111	4	6	6	NUM
alces-146	111	5	8	8	NUM
alces-146	111	6	10	10	NUM
alces-146	111	7	12	12	NUM
alces-146	111	8	14	14	NUM
alces-146	111	9	16	16	NUM
alces-146	111	10	18	18	NUM
alces-146	111	11	20	20	NUM
alces-146	111	12	0	0	NUM
alces-146	111	13	10	10	NUM
alces-146	111	14	20	20	NUM
alces-146	111	15	30	30	NUM
alces-146	111	16	40	40	NUM
alces-146	111	17	50	50	NUM
alces-146	111	18	60	60	NUM
alces-146	111	19	70	70	NUM
alces-146	111	20	m	m	NOUN
alces-146	111	21	ul	ul	INTJ
alces-146	111	22	tip	tip	NOUN
alces-146	111	23	lie	lie	NOUN
alces-146	111	24	r	r	PROPN
alces-146	111	25	visual	visual	ADJ
alces-146	111	26	cover	cover	VERB
alces-146	111	27	a	a	DET
alces-146	111	28	b	b	NOUN
alces-146	111	29	0	0	NUM
alces-146	111	30	50	50	NUM
alces-146	111	31	100	100	NUM
alces-146	111	32	150	150	NUM
alces-146	111	33	200	200	NUM
alces-146	111	34	250	250	NUM
alces-146	111	35	300	300	NUM
alces-146	111	36	0	0	NUM
alces-146	111	37	20	20	NUM
alces-146	111	38	40	40	NUM
alces-146	111	39	60	60	NUM
alces-146	111	40	80	80	NUM
alces-146	111	41	100	100	NUM
alces-146	111	42	m	m	VERB
alces-146	111	43	ul	ul	INTJ
alces-146	111	44	tip	tip	NOUN
alces-146	111	45	lie	lie	NOUN
alces-146	111	46	r	r	NOUN
alces-146	111	47	visual	visual	ADJ
alces-146	111	48	cover	cover	NOUN
alces-146	111	49	fig	fig	NOUN
alces-146	111	50	.	.	PUNCT
alces-146	112	1	3	3	X
alces-146	112	2	.	.	NUM
alces-146	112	3	smoothed	smooth	VERB
alces-146	112	4	representations	representation	NOUN
alces-146	112	5	of	of	ADP
alces-146	112	6	mean	mean	ADJ
alces-146	112	7	expansion	expansion	NOUN
alces-146	112	8	factors	factor	NOUN
alces-146	112	9	applied	apply	VERB
alces-146	112	10	to	to	ADP
alces-146	112	11	each	each	DET
alces-146	112	12	moose	moose	NOUN
alces-146	112	13	group	group	NOUN
alces-146	112	14	observed	observe	VERB
alces-146	112	15	based	base	VERB
alces-146	112	16	on	on	ADP
alces-146	112	17	the	the	DET
alces-146	112	18	percent	percent	NOUN
alces-146	112	19	vegetation	vegetation	NOUN
alces-146	112	20	capable	capable	ADJ
alces-146	112	21	of	of	ADP
alces-146	112	22	obstructing	obstruct	VERB
alces-146	112	23	observation	observation	NOUN
alces-146	112	24	from	from	ADP
alces-146	112	25	a	a	DET
alces-146	112	26	helicopter	helicopter	NOUN
alces-146	112	27	(	(	PUNCT
alces-146	112	28	horizontal	horizontal	ADJ
alces-146	112	29	axis	axis	NOUN
alces-146	112	30	)	)	PUNCT
alces-146	112	31	;	;	PUNCT
alces-146	112	32	shown	show	VERB
alces-146	112	33	are	be	AUX
alces-146	112	34	a	a	DET
alces-146	112	35	)	)	PUNCT
alces-146	112	36	visual	visual	ADJ
alces-146	112	37	cover	cover	VERB
alces-146	112	38	up	up	ADP
alces-146	112	39	to	to	PART
alces-146	112	40	70	70	NUM
alces-146	112	41	%	%	NOUN
alces-146	112	42	,	,	PUNCT
alces-146	112	43	and	and	CCONJ
alces-146	112	44	b	b	X
alces-146	112	45	)	)	PUNCT
alces-146	112	46	visual	visual	ADJ
alces-146	112	47	cover	cover	VERB
alces-146	112	48	up	up	ADP
alces-146	112	49	to	to	PART
alces-146	112	50	100	100	NUM
alces-146	112	51	%	%	NOUN
alces-146	112	52	.	.	PUNCT
alces-146	113	1	the	the	DET
alces-146	113	2	lines	line	NOUN
alces-146	113	3	were	be	AUX
alces-146	113	4	generated	generate	VERB
alces-146	113	5	using	use	VERB
alces-146	113	6	sightability	sightability	NOUN
alces-146	113	7	models	model	NOUN
alces-146	113	8	developed	develop	VERB
alces-146	113	9	in	in	ADP
alces-146	113	10	wyoming	wyoming	PROPN
alces-146	113	11	(	(	PUNCT
alces-146	113	12	anderson	anderson	PROPN
alces-146	113	13	and	and	CCONJ
alces-146	113	14	lindzey	lindzey	PROPN
alces-146	113	15	1996	1996	NUM
alces-146	113	16	;	;	PUNCT
alces-146	113	17	dashed	dash	VERB
alces-146	113	18	blue	blue	ADJ
alces-146	113	19	line	line	NOUN
alces-146	113	20	)	)	PUNCT
alces-146	113	21	,	,	PUNCT
alces-146	113	22	british	british	PROPN
alces-146	113	23	columbia	columbia	PROPN
alces-146	113	24	(	(	PUNCT
alces-146	113	25	qualye	qualye	PROPN
alces-146	113	26	et	et	PROPN
alces-146	113	27	al	al	PROPN
alces-146	113	28	.	.	PROPN
alces-146	113	29	2001	2001	NUM
alces-146	113	30	;	;	PUNCT
alces-146	113	31	solid	solid	ADJ
alces-146	113	32	red	red	ADJ
alces-146	113	33	line	line	NOUN
alces-146	113	34	)	)	PUNCT
alces-146	113	35	,	,	PUNCT
alces-146	113	36	and	and	CCONJ
alces-146	113	37	minnesota	minnesota	PROPN
alces-146	113	38	(	(	PUNCT
alces-146	113	39	guidice	guidice	PROPN
alces-146	113	40	et	et	PROPN
alces-146	113	41	al	al	PROPN
alces-146	113	42	.	.	PROPN
alces-146	113	43	2012	2012	NUM
alces-146	113	44	;	;	PUNCT
alces-146	113	45	dot	dot	NOUN
alces-146	113	46	-	-	PUNCT
alces-146	113	47	dash	dash	NOUN
alces-146	113	48	green	green	ADJ
alces-146	113	49	line	line	NOUN
alces-146	113	50	)	)	PUNCT
alces-146	113	51	.	.	PUNCT
alces-146	114	1	alces	alce	NOUN
alces-146	114	2	vol	vol	NOUN
alces-146	114	3	.	.	PROPN
alces-146	115	1	51	51	NUM
alces-146	115	2	,	,	PUNCT
alces-146	115	3	2015	2015	NUM
alces-146	115	4	harris	harris	X
alces-146	115	5	et	et	PROPN
alces-146	115	6	al	al	PROPN
alces-146	115	7	.	.	PROPN
alces-146	115	8	–	–	PUNCT
alces-146	115	9	estimating	estimate	VERB
alces-146	115	10	moose	moose	NOUN
alces-146	115	11	abundance	abundance	NOUN
alces-146	115	12	63	63	NUM
alces-146	115	13	of	of	ADP
alces-146	115	14	the	the	DET
alces-146	115	15	‘	'	PUNCT
alces-146	115	16	expansion	expansion	NOUN
alces-146	115	17	factor	factor	NOUN
alces-146	115	18	’	'	PUNCT
alces-146	115	19	or	or	CCONJ
alces-146	115	20	‘	'	PUNCT
alces-146	115	21	multiplier	multipli	ADJ
alces-146	115	22	’	'	PUNCT
alces-146	115	23	applied	apply	VERB
alces-146	115	24	to	to	ADP
alces-146	115	25	each	each	DET
alces-146	115	26	moose	moose	NOUN
alces-146	115	27	from	from	ADP
alces-146	115	28	each	each	PRON
alces-146	115	29	of	of	ADP
alces-146	115	30	the	the	DET
alces-146	115	31	models	model	NOUN
alces-146	115	32	.	.	PUNCT
alces-146	116	1	at	at	ADP
alces-146	116	2	50	50	NUM
alces-146	116	3	%	%	NOUN
alces-146	116	4	cover	cover	NOUN
alces-146	116	5	,	,	PUNCT
alces-146	116	6	the	the	DET
alces-146	116	7	minnesota	minnesota	PROPN
alces-146	116	8	model	model	NOUN
alces-146	116	9	projects	project	NOUN
alces-146	116	10	∼2	∼2	PROPN
alces-146	116	11	moose	moose	VERB
alces-146	116	12	for	for	ADP
alces-146	116	13	each	each	DET
alces-146	116	14	observed	observe	VERB
alces-146	116	15	,	,	PUNCT
alces-146	116	16	whereas	whereas	SCONJ
alces-146	116	17	the	the	DET
alces-146	116	18	wyoming	wyoming	NOUN
alces-146	116	19	model	model	NOUN
alces-146	116	20	projects	project	NOUN
alces-146	116	21	∼4	∼4	NOUN
alces-146	116	22	(	(	PUNCT
alces-146	116	23	fig	fig	NOUN
alces-146	116	24	.	.	PUNCT
alces-146	116	25	3a	3a	NUM
alces-146	116	26	)	)	PUNCT
alces-146	116	27	.	.	PUNCT
alces-146	117	1	with	with	ADP
alces-146	117	2	visual	visual	ADJ
alces-146	117	3	cover	cover	NOUN
alces-146	117	4	>	>	X
alces-146	117	5	60	60	NUM
alces-146	117	6	%	%	NOUN
alces-146	117	7	,	,	PUNCT
alces-146	117	8	differences	difference	NOUN
alces-146	117	9	in	in	ADP
alces-146	117	10	multipliers	multiplier	NOUN
alces-146	117	11	applied	apply	VERB
alces-146	117	12	to	to	ADP
alces-146	117	13	individual	individual	ADJ
alces-146	117	14	observations	observation	NOUN
alces-146	117	15	increasingly	increasingly	ADV
alces-146	117	16	diverge	diverge	VERB
alces-146	117	17	(	(	PUNCT
alces-146	117	18	fig	fig	NOUN
alces-146	117	19	.	.	PUNCT
alces-146	118	1	3b	3b	NUM
alces-146	118	2	)	)	PUNCT
alces-146	118	3	;	;	PUNCT
alces-146	118	4	for	for	ADP
alces-146	118	5	example	example	NOUN
alces-146	118	6	,	,	PUNCT
alces-146	118	7	in	in	ADP
alces-146	118	8	the	the	DET
alces-146	118	9	wyoming	wyoming	NOUN
alces-146	118	10	model	model	NOUN
alces-146	118	11	at	at	ADP
alces-146	118	12	80	80	NUM
alces-146	118	13	%	%	NOUN
alces-146	118	14	cover	cover	NOUN
alces-146	118	15	,	,	PUNCT
alces-146	118	16	a	a	DET
alces-146	118	17	single	single	ADJ
alces-146	118	18	moose	moose	NOUN
alces-146	118	19	projects	project	NOUN
alces-146	118	20	to	to	ADP
alces-146	118	21	about	about	ADV
alces-146	118	22	50	50	NUM
alces-146	118	23	and	and	CCONJ
alces-146	118	24	a	a	DET
alces-146	118	25	cowcalf	cowcalf	NOUN
alces-146	118	26	pair	pair	NOUN
alces-146	118	27	to	to	ADP
alces-146	118	28	100	100	NUM
alces-146	118	29	moose	moose	NOUN
alces-146	118	30	.	.	PUNCT
alces-146	119	1	figure	figure	NOUN
alces-146	119	2	3b	3b	NOUN
alces-146	119	3	illustrates	illustrate	VERB
alces-146	119	4	that	that	SCONJ
alces-146	119	5	under	under	ADP
alces-146	119	6	dense	dense	ADJ
alces-146	119	7	canopy	canopy	NOUN
alces-146	119	8	,	,	PUNCT
alces-146	119	9	minor	minor	ADJ
alces-146	119	10	fluctuations	fluctuation	NOUN
alces-146	119	11	in	in	ADP
alces-146	119	12	how	how	SCONJ
alces-146	119	13	field	field	NOUN
alces-146	119	14	investigators	investigator	NOUN
alces-146	119	15	code	code	VERB
alces-146	119	16	this	this	DET
alces-146	119	17	covariate	covariate	NOUN
alces-146	119	18	can	can	AUX
alces-146	119	19	produce	produce	VERB
alces-146	119	20	substantial	substantial	ADJ
alces-146	119	21	differences	difference	NOUN
alces-146	119	22	in	in	ADP
alces-146	119	23	detection	detection	NOUN
alces-146	119	24	probability	probability	NOUN
alces-146	119	25	,	,	PUNCT
alces-146	119	26	and	and	CCONJ
alces-146	119	27	ultimately	ultimately	ADV
alces-146	119	28	the	the	DET
alces-146	119	29	estimated	estimate	VERB
alces-146	119	30	abundance	abundance	NOUN
alces-146	119	31	.	.	PUNCT
alces-146	120	1	regression	regression	NOUN
alces-146	120	2	of	of	ADP
alces-146	120	3	the	the	DET
alces-146	120	4	natural	natural	ADJ
alces-146	120	5	logarithm	logarithm	NOUN
alces-146	120	6	of	of	ADP
alces-146	120	7	raw	raw	ADJ
alces-146	120	8	counts	count	NOUN
alces-146	120	9	on	on	ADP
alces-146	120	10	time	time	NOUN
alces-146	120	11	yielded	yield	VERB
alces-146	120	12	a	a	DET
alces-146	120	13	naïve	naïve	ADJ
alces-146	120	14	estimate	estimate	NOUN
alces-146	120	15	of	of	ADP
alces-146	120	16	the	the	DET
alces-146	120	17	intrinsic	intrinsic	ADJ
alces-146	120	18	growth	growth	NOUN
alces-146	120	19	rate	rate	NOUN
alces-146	120	20	(	(	PUNCT
alces-146	120	21	r	r	NOUN
alces-146	120	22	)	)	PUNCT
alces-146	120	23	of	of	ADP
alces-146	120	24	0.084	0.084	NUM
alces-146	120	25	(	(	PUNCT
alces-146	120	26	se	se	X
alces-146	120	27	=	=	X
alces-146	120	28	0.019	0.019	NUM
alces-146	120	29	)	)	PUNCT
alces-146	120	30	,	,	PUNCT
alces-146	120	31	suggesting	suggest	VERB
alces-146	120	32	an	an	DET
alces-146	120	33	average	average	ADJ
alces-146	120	34	annual	annual	ADJ
alces-146	120	35	discrete	discrete	ADJ
alces-146	120	36	growth	growth	NOUN
alces-146	120	37	rate	rate	NOUN
alces-146	120	38	(	(	PUNCT
alces-146	120	39	λ	λ	NOUN
alces-146	120	40	)	)	PUNCT
alces-146	120	41	of	of	ADP
alces-146	120	42	∼1.09	∼1.09	NOUN
alces-146	120	43	.	.	PUNCT
alces-146	121	1	the	the	DET
alces-146	121	2	topranked	topranke	VERB
alces-146	121	3	regression	regression	NOUN
alces-146	121	4	model	model	NOUN
alces-146	121	5	incorporating	incorporate	VERB
alces-146	121	6	covariates	covariate	NOUN
alces-146	121	7	and	and	CCONJ
alces-146	121	8	accounting	account	VERB
alces-146	121	9	for	for	ADP
alces-146	121	10	autocorrelation	autocorrelation	NOUN
alces-146	121	11	contained	contain	VERB
alces-146	121	12	mean	mean	ADJ
alces-146	121	13	percent	percent	NOUN
alces-146	121	14	snow	snow	NOUN
alces-146	121	15	cover	cover	VERB
alces-146	121	16	only	only	ADV
alces-146	121	17	(	(	PUNCT
alces-146	121	18	table	table	NOUN
alces-146	121	19	3	3	NUM
alces-146	121	20	)	)	PUNCT
alces-146	121	21	.	.	PUNCT
alces-146	122	1	the	the	DET
alces-146	122	2	model	model	NOUN
alces-146	122	3	including	include	VERB
alces-146	122	4	the	the	DET
alces-146	122	5	mean	mean	ADJ
alces-146	122	6	activity	activity	NOUN
alces-146	122	7	index	index	NOUN
alces-146	122	8	and	and	CCONJ
alces-146	122	9	snow	snow	NOUN
alces-146	122	10	cover	cover	NOUN
alces-146	122	11	had	have	VERB
alces-146	122	12	similar	similar	ADJ
alces-146	122	13	support	support	NOUN
alces-146	122	14	(	(	PUNCT
alces-146	122	15	δ	δ	PROPN
alces-146	122	16	aicc	aicc	NOUN
alces-146	122	17	=	=	NOUN
alces-146	122	18	1.12	1.12	NUM
alces-146	122	19	)	)	PUNCT
alces-146	122	20	,	,	PUNCT
alces-146	122	21	and	and	CCONJ
alces-146	122	22	together	together	ADV
alces-146	122	23	,	,	PUNCT
alces-146	122	24	these	these	DET
alces-146	122	25	2	2	NUM
alces-146	122	26	models	model	NOUN
alces-146	122	27	absorbed	absorb	VERB
alces-146	122	28	most	most	ADV
alces-146	122	29	(	(	PUNCT
alces-146	122	30	86	86	NUM
alces-146	122	31	%	%	NOUN
alces-146	122	32	)	)	PUNCT
alces-146	122	33	of	of	ADP
alces-146	122	34	the	the	DET
alces-146	122	35	akaike	akaike	ADJ
alces-146	122	36	weight	weight	NOUN
alces-146	122	37	(	(	PUNCT
alces-146	122	38	table	table	NOUN
alces-146	122	39	3	3	NUM
alces-146	122	40	)	)	PUNCT
alces-146	122	41	.	.	PUNCT
alces-146	123	1	the	the	DET
alces-146	123	2	model	model	NOUN
alces-146	123	3	averaged	average	VERB
alces-146	123	4	slope	slope	NOUN
alces-146	123	5	,	,	PUNCT
alces-146	123	6	accounting	account	VERB
alces-146	123	7	for	for	ADP
alces-146	123	8	all	all	DET
alces-146	123	9	possible	possible	ADJ
alces-146	123	10	models	model	NOUN
alces-146	123	11	and	and	CCONJ
alces-146	123	12	representing	represent	VERB
alces-146	123	13	the	the	DET
alces-146	123	14	estimate	estimate	NOUN
alces-146	123	15	instantaneous	instantaneous	ADJ
alces-146	123	16	growth	growth	NOUN
alces-146	123	17	rate	rate	NOUN
alces-146	123	18	r	r	NOUN
alces-146	123	19	was	be	AUX
alces-146	123	20	0.077	0.077	NUM
alces-146	123	21	(	(	PUNCT
alces-146	123	22	approximate	approximate	ADJ
alces-146	123	23	se	se	X
alces-146	123	24	=	=	SYM
alces-146	123	25	0.075	0.075	NUM
alces-146	123	26	)	)	PUNCT
alces-146	123	27	,	,	PUNCT
alces-146	123	28	table	table	NOUN
alces-146	123	29	3	3	NUM
alces-146	123	30	.	.	PUNCT
alces-146	123	31	competing	compete	VERB
alces-146	123	32	models	model	NOUN
alces-146	123	33	of	of	ADP
alces-146	123	34	the	the	DET
alces-146	123	35	effects	effect	NOUN
alces-146	123	36	of	of	ADP
alces-146	123	37	annual	annual	ADJ
alces-146	123	38	covariates	covariate	NOUN
alces-146	123	39	hypothesized	hypothesize	VERB
alces-146	123	40	to	to	PART
alces-146	123	41	influence	influence	VERB
alces-146	123	42	detection	detection	NOUN
alces-146	123	43	of	of	ADP
alces-146	123	44	moose	moose	NOUN
alces-146	123	45	observed	observe	VERB
alces-146	123	46	during	during	ADP
alces-146	123	47	helicopter	helicopter	NOUN
alces-146	123	48	surveys	survey	NOUN
alces-146	123	49	,	,	PUNCT
alces-146	123	50	spokane	spokane	NOUN
alces-146	123	51	district	district	PROPN
alces-146	123	52	in	in	ADP
alces-146	123	53	northeastern	northeastern	ADJ
alces-146	123	54	washington	washington	PROPN
alces-146	123	55	,	,	PUNCT
alces-146	123	56	winters	winter	NOUN
alces-146	123	57	2002–2012	2002–2012	NUM
alces-146	123	58	.	.	PUNCT
alces-146	124	1	all	all	DET
alces-146	124	2	models	model	NOUN
alces-146	124	3	are	be	AUX
alces-146	124	4	of	of	ADP
alces-146	124	5	the	the	DET
alces-146	124	6	form	form	NOUN
alces-146	124	7	shown	show	VERB
alces-146	124	8	in	in	ADP
alces-146	124	9	equation	equation	NOUN
alces-146	124	10	1	1	NUM
alces-146	124	11	.	.	PUNCT
alces-146	125	1	shown	show	VERB
alces-146	125	2	are	be	AUX
alces-146	125	3	the	the	DET
alces-146	125	4	point	point	NOUN
alces-146	125	5	estimate	estimate	NOUN
alces-146	125	6	of	of	ADP
alces-146	125	7	the	the	DET
alces-146	125	8	intrinsic	intrinsic	ADJ
alces-146	125	9	growth	growth	NOUN
alces-146	125	10	rate	rate	NOUN
alces-146	125	11	r	r	NOUN
alces-146	125	12	,	,	PUNCT
alces-146	125	13	its	its	PRON
alces-146	125	14	standard	standard	ADJ
alces-146	125	15	error	error	NOUN
alces-146	125	16	(	(	PUNCT
alces-146	125	17	se	se	X
alces-146	125	18	)	)	PUNCT
alces-146	125	19	,	,	PUNCT
alces-146	125	20	the	the	DET
alces-146	125	21	number	number	NOUN
alces-146	125	22	of	of	ADP
alces-146	125	23	parameters	parameter	NOUN
alces-146	125	24	in	in	ADP
alces-146	125	25	the	the	DET
alces-146	125	26	model	model	NOUN
alces-146	125	27	(	(	PUNCT
alces-146	125	28	k	k	NOUN
alces-146	125	29	)	)	PUNCT
alces-146	125	30	,	,	PUNCT
alces-146	125	31	δaicc	δaicc	NOUN
alces-146	125	32	,	,	PUNCT
alces-146	125	33	and	and	CCONJ
alces-146	125	34	the	the	DET
alces-146	125	35	aicc	aicc	NOUN
alces-146	125	36	weight	weight	NOUN
alces-146	125	37	.	.	PUNCT
alces-146	126	1	variables	variable	NOUN
alces-146	126	2	:	:	PUNCT
alces-146	127	1	snow	snow	NOUN
alces-146	127	2	=	=	PRON
alces-146	127	3	weighted	weight	VERB
alces-146	127	4	mean	mean	ADJ
alces-146	127	5	percent	percent	NOUN
alces-146	127	6	snow	snow	NOUN
alces-146	127	7	cover	cover	NOUN
alces-146	127	8	near	near	ADP
alces-146	127	9	observed	observe	VERB
alces-146	127	10	moose	moose	NOUN
alces-146	127	11	;	;	PUNCT
alces-146	127	12	activity	activity	NOUN
alces-146	127	13	=	=	NOUN
alces-146	127	14	mean	mean	NOUN
alces-146	127	15	activity	activity	NOUN
alces-146	127	16	index	index	NOUN
alces-146	127	17	of	of	ADP
alces-146	127	18	observed	observe	VERB
alces-146	127	19	moose	moose	NOUN
alces-146	127	20	weighted	weight	VERB
alces-146	127	21	by	by	ADP
alces-146	127	22	group	group	NOUN
alces-146	127	23	size	size	NOUN
alces-146	127	24	where	where	SCONJ
alces-146	127	25	1	1	NUM
alces-146	127	26	=	=	NOUN
alces-146	127	27	bedded	bed	VERB
alces-146	127	28	,	,	PUNCT
alces-146	127	29	2	2	NUM
alces-146	127	30	=	=	SYM
alces-146	127	31	standing	standing	NOUN
alces-146	127	32	,	,	PUNCT
alces-146	127	33	3	3	NUM
alces-146	127	34	=	=	SYM
alces-146	127	35	moving	moving	NOUN
alces-146	127	36	;	;	PUNCT
alces-146	127	37	units	unit	NOUN
alces-146	127	38	=	=	NOUN
alces-146	127	39	number	number	NOUN
alces-146	127	40	of	of	ADP
alces-146	127	41	survey	survey	NOUN
alces-146	127	42	units	unit	NOUN
alces-146	127	43	flown	fly	VERB
alces-146	127	44	each	each	DET
alces-146	127	45	year	year	NOUN
alces-146	127	46	;	;	PUNCT
alces-146	127	47	and	and	CCONJ
alces-146	127	48	vegetation	vegetation	NOUN
alces-146	127	49	=	=	SYM
alces-146	127	50	weighted	weight	VERB
alces-146	127	51	mean	mean	ADJ
alces-146	127	52	percent	percent	NOUN
alces-146	127	53	vegetation	vegetation	NOUN
alces-146	127	54	cover	cover	NOUN
alces-146	127	55	near	near	ADP
alces-146	127	56	observed	observe	VERB
alces-146	127	57	moose	moose	NOUN
alces-146	127	58	.	.	PUNCT
alces-146	128	1	model	model	NOUN
alces-146	128	2	predictors	predictor	NOUN
alces-146	128	3	r	r	PROPN
alces-146	128	4	se	se	PROPN
alces-146	128	5	k	k	PROPN
alces-146	128	6	δaicc	δaicc	PROPN
alces-146	128	7	aicc	aicc	VERB
alces-146	128	8	weight	weight	NOUN
alces-146	128	9	1	1	NUM
alces-146	128	10	intercept	intercept	NOUN
alces-146	128	11	+	+	CCONJ
alces-146	128	12	snow	snow	NOUN
alces-146	128	13	0.053	0.053	NUM
alces-146	128	14	0.074	0.074	NUM
alces-146	128	15	3	3	NUM
alces-146	128	16	0.000	0.000	NUM
alces-146	128	17	0.547	0.547	NUM
alces-146	128	18	2	2	NUM
alces-146	128	19	intercept	intercept	NOUN
alces-146	128	20	+	+	CCONJ
alces-146	128	21	snow	snow	NOUN
alces-146	128	22	+	+	CCONJ
alces-146	128	23	activity	activity	NOUN
alces-146	128	24	0.112	0.112	NUM
alces-146	128	25	0.063	0.063	NUM
alces-146	128	26	4	4	NUM
alces-146	128	27	1.117	1.117	NUM
alces-146	128	28	0.313	0.313	NUM
alces-146	128	29	3	3	NUM
alces-146	128	30	intercept	intercept	NOUN
alces-146	128	31	only	only	ADV
alces-146	128	32	0.084	0.084	NUM
alces-146	128	33	0.114	0.114	NUM
alces-146	128	34	2	2	NUM
alces-146	128	35	4.489	4.489	NUM
alces-146	128	36	0.058	0.058	NUM
alces-146	128	37	4	4	NUM
alces-146	128	38	intercept	intercept	NOUN
alces-146	128	39	+	+	CCONJ
alces-146	128	40	activity	activity	NOUN
alces-146	128	41	0.158	0.158	NUM
alces-146	128	42	0.105	0.105	NUM
alces-146	128	43	3	3	NUM
alces-146	128	44	5.753	5.753	NUM
alces-146	128	45	0.031	0.031	NUM
alces-146	128	46	5	5	NUM
alces-146	128	47	intercept	intercept	NOUN
alces-146	128	48	+	+	CCONJ
alces-146	128	49	snow	snow	NOUN
alces-146	128	50	+	+	CCONJ
alces-146	128	51	vegetation	vegetation	NOUN
alces-146	128	52	0.054	0.054	NUM
alces-146	128	53	0.078	0.078	NUM
alces-146	128	54	4	4	NUM
alces-146	128	55	6.909	6.909	NUM
alces-146	128	56	0.017	0.017	NUM
alces-146	128	57	6	6	NUM
alces-146	128	58	intercept	intercept	NOUN
alces-146	128	59	+	+	CCONJ
alces-146	128	60	snow	snow	NOUN
alces-146	128	61	+	+	NUM
alces-146	128	62	units	unit	NOUN
alces-146	128	63	0.055	0.055	NUM
alces-146	128	64	0.080	0.080	NUM
alces-146	128	65	4	4	NUM
alces-146	128	66	7.291	7.291	NUM
alces-146	128	67	0.014	0.014	NUM
alces-146	128	68	7	7	NUM
alces-146	128	69	intercept	intercept	NOUN
alces-146	128	70	+	+	CCONJ
alces-146	128	71	vegetation	vegetation	NOUN
alces-146	128	72	0.078	0.078	NUM
alces-146	128	73	0.114	0.114	NUM
alces-146	128	74	3	3	NUM
alces-146	128	75	8.648	8.648	NUM
alces-146	128	76	0.007	0.007	NUM
alces-146	128	77	8	8	NUM
alces-146	128	78	intercept	intercept	NOUN
alces-146	128	79	+	+	NUM
alces-146	128	80	units	unit	NOUN
alces-146	128	81	0.072	0.072	NUM
alces-146	128	82	0.121	0.121	NUM
alces-146	128	83	3	3	NUM
alces-146	128	84	9.621	9.621	NUM
alces-146	128	85	0.004	0.004	NUM
alces-146	128	86	9	9	NUM
alces-146	128	87	intercept	intercept	NOUN
alces-146	128	88	+	+	CCONJ
alces-146	128	89	snow	snow	NOUN
alces-146	128	90	+	+	CCONJ
alces-146	128	91	vegetation	vegetation	NOUN
alces-146	128	92	+	+	CCONJ
alces-146	128	93	activity	activity	NOUN
alces-146	128	94	0.113	0.113	NUM
alces-146	128	95	0.064	0.064	NUM
alces-146	128	96	5	5	NUM
alces-146	128	97	10.370	10.370	NUM
alces-146	128	98	0.003	0.003	NUM
alces-146	128	99	10	10	NUM
alces-146	128	100	intercept	intercept	NOUN
alces-146	128	101	+	+	CCONJ
alces-146	128	102	activity	activity	NOUN
alces-146	128	103	+	+	CCONJ
alces-146	128	104	vegetation	vegetation	NOUN
alces-146	128	105	0.154	0.154	NUM
alces-146	128	106	0.101	0.101	NUM
alces-146	128	107	4	4	NUM
alces-146	128	108	11.019	11.019	NUM
alces-146	128	109	0.002	0.002	NUM
alces-146	128	110	11	11	NUM
alces-146	128	111	intercept	intercept	NOUN
alces-146	128	112	+	+	CCONJ
alces-146	128	113	snow	snow	NOUN
alces-146	128	114	+	+	CCONJ
alces-146	128	115	units	unit	NOUN
alces-146	128	116	+	+	CCONJ
alces-146	128	117	activity	activity	NOUN
alces-146	128	118	0.112	0.112	NUM
alces-146	128	119	0.068	0.068	NUM
alces-146	128	120	5	5	NUM
alces-146	128	121	11.654	11.654	NUM
alces-146	128	122	0.002	0.002	NUM
alces-146	128	123	12	12	NUM
alces-146	128	124	intercept	intercept	NOUN
alces-146	128	125	+	+	NUM
alces-146	128	126	units	unit	NOUN
alces-146	128	127	+	+	CCONJ
alces-146	128	128	activity	activity	NOUN
alces-146	128	129	0.147	0.147	NUM
alces-146	128	130	0.110	0.110	NUM
alces-146	128	131	4	4	NUM
alces-146	128	132	12.419	12.419	NUM
alces-146	128	133	0.001	0.001	NUM
alces-146	128	134	13	13	NUM
alces-146	128	135	intercept	intercept	NOUN
alces-146	128	136	+	+	CCONJ
alces-146	128	137	snow	snow	NOUN
alces-146	128	138	+	+	CCONJ
alces-146	128	139	units	unit	NOUN
alces-146	128	140	+	+	CCONJ
alces-146	128	141	vegetation	vegetation	NOUN
alces-146	128	142	0.078	0.078	NUM
alces-146	128	143	0.077	0.077	NUM
alces-146	128	144	5	5	NUM
alces-146	128	145	15.151	15.151	NUM
alces-146	128	146	0.000	0.000	NUM
alces-146	128	147	14	14	NUM
alces-146	128	148	intercept	intercept	NOUN
alces-146	128	149	+	+	NUM
alces-146	128	150	units	unit	NOUN
alces-146	128	151	+	+	CCONJ
alces-146	128	152	vegetation	vegetation	NOUN
alces-146	128	153	0.010	0.010	NUM
alces-146	128	154	0.122	0.122	NUM
alces-146	128	155	4	4	NUM
alces-146	128	156	15.365	15.365	NUM
alces-146	128	157	0.000	0.000	NUM
alces-146	128	158	15	15	NUM
alces-146	128	159	intercept	intercept	NOUN
alces-146	128	160	+	+	NUM
alces-146	128	161	units	unit	NOUN
alces-146	128	162	+	+	CCONJ
alces-146	128	163	vegetation	vegetation	NOUN
alces-146	128	164	+	+	CCONJ
alces-146	128	165	activity	activity	NOUN
alces-146	128	166	0.169	0.169	NUM
alces-146	128	167	0.109	0.109	NUM
alces-146	128	168	5	5	NUM
alces-146	128	169	20.918	20.918	NUM
alces-146	128	170	0.000	0.000	NUM
alces-146	128	171	16	16	NUM
alces-146	128	172	intercept	intercept	NOUN
alces-146	128	173	+	+	CCONJ
alces-146	128	174	snow	snow	NOUN
alces-146	128	175	+	+	NUM
alces-146	128	176	units	unit	NOUN
alces-146	128	177	+	+	CCONJ
alces-146	128	178	vegetation	vegetation	NOUN
alces-146	128	179	+	+	CCONJ
alces-146	128	180	activity	activity	NOUN
alces-146	128	181	0.131	0.131	NUM
alces-146	128	182	0.060	0.060	NUM
alces-146	128	183	6	6	NUM
alces-146	128	184	23.599	23.599	NUM
alces-146	128	185	0.000	0.000	NUM
alces-146	128	186	mean	mean	NOUN
alces-146	128	187	0.077	0.077	NUM
alces-146	128	188	0.075	0.075	NUM
alces-146	128	189	64	64	NUM
alces-146	128	190	estimating	estimate	VERB
alces-146	128	191	moose	moose	NOUN
alces-146	128	192	abundance	abundance	NOUN
alces-146	128	193	–	–	PUNCT
alces-146	128	194	harris	harris	PROPN
alces-146	128	195	et	et	PROPN
alces-146	128	196	al	al	PROPN
alces-146	128	197	.	.	PROPN
alces-146	129	1	alces	alce	NOUN
alces-146	129	2	vol	vol	NOUN
alces-146	129	3	.	.	PROPN
alces-146	130	1	51	51	NUM
alces-146	130	2	,	,	PUNCT
alces-146	130	3	2015	2015	NUM
alces-146	130	4	slightly	slightly	ADV
alces-146	130	5	lower	low	ADJ
alces-146	130	6	than	than	ADP
alces-146	130	7	the	the	DET
alces-146	130	8	0.084	0.084	NUM
alces-146	130	9	with	with	ADP
alces-146	130	10	raw	raw	ADJ
alces-146	130	11	counts	count	NOUN
alces-146	130	12	unadjusted	unadjuste	VERB
alces-146	130	13	for	for	ADP
alces-146	130	14	covariates	covariate	NOUN
alces-146	130	15	and	and	CCONJ
alces-146	130	16	autocorrelation	autocorrelation	NOUN
alces-146	130	17	.	.	PUNCT
alces-146	131	1	that	that	PRON
alces-146	131	2	is	is	ADV
alces-146	131	3	,	,	PUNCT
alces-146	131	4	our	our	PRON
alces-146	131	5	best	good	ADJ
alces-146	131	6	estimate	estimate	NOUN
alces-146	131	7	of	of	ADP
alces-146	131	8	population	population	NOUN
alces-146	131	9	trend	trend	NOUN
alces-146	131	10	(	(	PUNCT
alces-146	131	11	λ	λ	X
alces-146	131	12	)	)	PUNCT
alces-146	131	13	that	that	PRON
alces-146	131	14	incorporated	incorporate	VERB
alces-146	131	15	autocorrelation	autocorrelation	NOUN
alces-146	131	16	,	,	PUNCT
alces-146	131	17	our	our	PRON
alces-146	131	18	suite	suite	NOUN
alces-146	131	19	of	of	ADP
alces-146	131	20	visibility	visibility	NOUN
alces-146	131	21	covariates	covariate	VERB
alces-146	131	22	,	,	PUNCT
alces-146	131	23	and	and	CCONJ
alces-146	131	24	model	model	NOUN
alces-146	131	25	uncertainty	uncertainty	NOUN
alces-146	131	26	was	be	AUX
alces-146	131	27	∼1.08	∼1.08	ADJ
alces-146	131	28	during	during	ADP
alces-146	131	29	the	the	DET
alces-146	131	30	2002–2012	2002–2012	NUM
alces-146	131	31	time	time	NOUN
alces-146	131	32	period	period	NOUN
alces-146	131	33	.	.	PUNCT
alces-146	132	1	however	however	ADV
alces-146	132	2	,	,	PUNCT
alces-146	132	3	none	none	NOUN
alces-146	132	4	of	of	ADP
alces-146	132	5	the	the	DET
alces-146	132	6	top	top	ADV
alces-146	132	7	-	-	PUNCT
alces-146	132	8	ranking	rank	VERB
alces-146	132	9	regression	regression	NOUN
alces-146	132	10	models	model	NOUN
alces-146	132	11	,	,	PUNCT
alces-146	132	12	nor	nor	CCONJ
alces-146	132	13	the	the	DET
alces-146	132	14	modeled	model	VERB
alces-146	132	15	averaged	average	VERB
alces-146	132	16	estimate	estimate	NOUN
alces-146	132	17	(	(	PUNCT
alces-146	132	18	table	table	NOUN
alces-146	132	19	3	3	NUM
alces-146	132	20	)	)	PUNCT
alces-146	132	21	provided	provide	VERB
alces-146	132	22	evidence	evidence	NOUN
alces-146	132	23	that	that	PRON
alces-146	132	24	would	would	AUX
alces-146	132	25	reject	reject	VERB
alces-146	132	26	the	the	DET
alces-146	132	27	conventional	conventional	ADJ
alces-146	132	28	null	null	ADJ
alces-146	132	29	hypothesis	hypothesis	NOUN
alces-146	132	30	that	that	PRON
alces-146	132	31	r	r	NOUN
alces-146	132	32	=	=	NOUN
alces-146	132	33	0	0	NUM
alces-146	132	34	at	at	ADP
alces-146	132	35	the	the	DET
alces-146	132	36	customary	customary	ADJ
alces-146	132	37	type	type	NOUN
alces-146	132	38	i	i	PRON
alces-146	132	39	error	error	NOUN
alces-146	132	40	rate	rate	NOUN
alces-146	132	41	of	of	ADP
alces-146	132	42	α	α	NOUN
alces-146	132	43	=	=	NOUN
alces-146	132	44	0.05	0.05	NUM
alces-146	132	45	.	.	PUNCT
alces-146	133	1	our	our	PRON
alces-146	133	2	data	datum	NOUN
alces-146	133	3	seemed	seem	VERB
alces-146	133	4	to	to	PART
alces-146	133	5	suggest	suggest	VERB
alces-146	133	6	a	a	DET
alces-146	133	7	constant	constant	ADJ
alces-146	133	8	rate	rate	NOUN
alces-146	133	9	of	of	ADP
alces-146	133	10	growth	growth	NOUN
alces-146	133	11	throughout	throughout	ADP
alces-146	133	12	the	the	DET
alces-146	133	13	time	time	NOUN
alces-146	133	14	period	period	NOUN
alces-146	133	15	.	.	PUNCT
alces-146	134	1	however	however	ADV
alces-146	134	2	,	,	PUNCT
alces-146	134	3	various	various	ADJ
alces-146	134	4	alternative	alternative	ADJ
alces-146	134	5	shapes	shape	NOUN
alces-146	134	6	may	may	AUX
alces-146	134	7	enjoy	enjoy	VERB
alces-146	134	8	greater	great	ADJ
alces-146	134	9	support	support	NOUN
alces-146	134	10	than	than	ADP
alces-146	134	11	a	a	DET
alces-146	134	12	linear	linear	ADJ
alces-146	134	13	trend	trend	NOUN
alces-146	134	14	.	.	PUNCT
alces-146	135	1	for	for	ADP
alces-146	135	2	example	example	NOUN
alces-146	135	3	,	,	PUNCT
alces-146	135	4	the	the	DET
alces-146	135	5	wyoming	wyoming	PROPN
alces-146	135	6	or	or	CCONJ
alces-146	135	7	bc	bc	PROPN
alces-146	135	8	models	model	NOUN
alces-146	135	9	could	could	AUX
alces-146	135	10	arguably	arguably	ADV
alces-146	135	11	support	support	VERB
alces-146	135	12	a	a	DET
alces-146	135	13	concave	concave	NOUN
alces-146	135	14	down	down	ADP
alces-146	135	15	function	function	NOUN
alces-146	135	16	rather	rather	ADV
alces-146	135	17	than	than	ADP
alces-146	135	18	a	a	DET
alces-146	135	19	constant	constant	ADJ
alces-146	135	20	growth	growth	NOUN
alces-146	135	21	rate	rate	NOUN
alces-146	135	22	with	with	ADP
alces-146	135	23	high	high	ADJ
alces-146	135	24	variance	variance	NOUN
alces-146	135	25	.	.	PUNCT
alces-146	136	1	to	to	PART
alces-146	136	2	examine	examine	VERB
alces-146	136	3	this	this	DET
alces-146	136	4	alternative	alternative	NOUN
alces-146	136	5	,	,	PUNCT
alces-146	136	6	we	we	PRON
alces-146	136	7	modeled	model	VERB
alces-146	136	8	a	a	DET
alces-146	136	9	simple	simple	ADJ
alces-146	136	10	quadratic	quadratic	ADJ
alces-146	136	11	regression	regression	NOUN
alces-146	136	12	,	,	PUNCT
alces-146	136	13	using	use	VERB
alces-146	136	14	year	year	NOUN
alces-146	136	15	and	and	CCONJ
alces-146	136	16	year2	year2	NOUN
alces-146	136	17	as	as	ADP
alces-146	136	18	predictors	predictor	NOUN
alces-146	136	19	in	in	ADP
alces-146	136	20	addition	addition	NOUN
alces-146	136	21	to	to	ADP
alces-146	136	22	the	the	DET
alces-146	136	23	top	top	ADJ
alces-146	136	24	covariates	covariate	NOUN
alces-146	136	25	,	,	PUNCT
alces-146	136	26	allowing	allow	VERB
alces-146	136	27	for	for	ADP
alces-146	136	28	a	a	DET
alces-146	136	29	curving	curving	NOUN
alces-146	136	30	of	of	ADP
alces-146	136	31	the	the	DET
alces-146	136	32	previously	previously	ADV
alces-146	136	33	straight	straight	ADJ
alces-146	136	34	line	line	NOUN
alces-146	136	35	(	(	PUNCT
alces-146	136	36	fig	fig	NOUN
alces-146	136	37	.	.	PUNCT
alces-146	136	38	4	4	NUM
alces-146	136	39	)	)	PUNCT
alces-146	136	40	.	.	PUNCT
alces-146	137	1	as	as	SCONJ
alces-146	137	2	suggested	suggest	VERB
alces-146	137	3	by	by	ADP
alces-146	137	4	harris	harris	PROPN
alces-146	137	5	et	et	PROPN
alces-146	137	6	al	al	PROPN
alces-146	137	7	.	.	PROPN
alces-146	138	1	(	(	PUNCT
alces-146	138	2	2007	2007	NUM
alces-146	138	3	)	)	PUNCT
alces-146	138	4	,	,	PUNCT
alces-146	138	5	we	we	PRON
alces-146	138	6	assessed	assess	VERB
alces-146	138	7	the	the	DET
alces-146	138	8	strength	strength	NOUN
alces-146	138	9	of	of	ADP
alces-146	138	10	evidence	evidence	NOUN
alces-146	138	11	for	for	ADP
alces-146	138	12	these	these	DET
alces-146	138	13	2	2	NUM
alces-146	138	14	competing	compete	VERB
alces-146	138	15	models	model	NOUN
alces-146	138	16	using	use	VERB
alces-146	138	17	aicc	aicc	NOUN
alces-146	138	18	,	,	PUNCT
alces-146	138	19	the	the	DET
alces-146	138	20	aicc	aicc	NOUN
alces-146	138	21	weight	weight	NOUN
alces-146	138	22	,	,	PUNCT
alces-146	138	23	and	and	CCONJ
alces-146	138	24	the	the	DET
alces-146	138	25	significance	significance	NOUN
alces-146	138	26	of	of	ADP
alces-146	138	27	the	the	DET
alces-146	138	28	quadratic	quadratic	ADJ
alces-146	138	29	term	term	NOUN
alces-146	138	30	.	.	PUNCT
alces-146	139	1	models	model	NOUN
alces-146	139	2	including	include	VERB
alces-146	139	3	the	the	DET
alces-146	139	4	quadratic	quadratic	ADJ
alces-146	139	5	term	term	NOUN
alces-146	139	6	were	be	AUX
alces-146	139	7	invariably	invariably	ADV
alces-146	139	8	less	less	ADV
alces-146	139	9	parsimonious	parsimonious	ADJ
alces-146	139	10	than	than	ADP
alces-146	139	11	simple	simple	ADJ
alces-146	139	12	linear	linear	ADJ
alces-146	139	13	models	model	NOUN
alces-146	139	14	,	,	PUNCT
alces-146	139	15	and	and	CCONJ
alces-146	139	16	quadratic	quadratic	ADJ
alces-146	139	17	terms	term	NOUN
alces-146	139	18	were	be	AUX
alces-146	139	19	not	not	PART
alces-146	139	20	significant	significant	ADJ
alces-146	139	21	(	(	PUNCT
alces-146	139	22	table	table	NOUN
alces-146	139	23	4	4	NUM
alces-146	139	24	)	)	PUNCT
alces-146	139	25	.	.	PUNCT
alces-146	140	1	thus	thus	ADV
alces-146	140	2	,	,	PUNCT
alces-146	140	3	fig	fig	NOUN
alces-146	140	4	.	.	PUNCT
alces-146	141	1	4	4	NUM
alces-146	141	2	.	.	NOUN
alces-146	141	3	trend	trend	NOUN
alces-146	141	4	of	of	ADP
alces-146	141	5	moose	moose	NOUN
alces-146	141	6	over	over	ADP
alces-146	141	7	time	time	NOUN
alces-146	141	8	in	in	ADP
alces-146	141	9	northeastern	northeastern	ADJ
alces-146	141	10	washington	washington	PROPN
alces-146	141	11	(	(	PUNCT
alces-146	141	12	2002–2012	2002–2012	NUM
alces-146	141	13	)	)	PUNCT
alces-146	141	14	illustrating	illustrate	VERB
alces-146	141	15	the	the	DET
alces-146	141	16	effects	effect	NOUN
alces-146	141	17	of	of	ADP
alces-146	141	18	accounting	account	VERB
alces-146	141	19	for	for	ADP
alces-146	141	20	sightability	sightability	NOUN
alces-146	141	21	covariates	covariate	VERB
alces-146	141	22	in	in	ADP
alces-146	141	23	a	a	DET
alces-146	141	24	regression	regression	NOUN
alces-146	141	25	context	context	NOUN
alces-146	141	26	,	,	PUNCT
alces-146	141	27	and	and	CCONJ
alces-146	141	28	of	of	ADP
alces-146	141	29	using	use	VERB
alces-146	141	30	a	a	DET
alces-146	141	31	quadratic	quadratic	ADJ
alces-146	141	32	term	term	NOUN
alces-146	141	33	.	.	PUNCT
alces-146	142	1	blue	blue	ADJ
alces-146	142	2	diamond	diamond	NOUN
alces-146	142	3	symbols	symbol	NOUN
alces-146	142	4	=	=	SYM
alces-146	142	5	natural	natural	ADJ
alces-146	142	6	logarithm	logarithm	NOUN
alces-146	142	7	of	of	ADP
alces-146	142	8	raw	raw	ADJ
alces-146	142	9	index	index	NOUN
alces-146	142	10	counts	count	NOUN
alces-146	142	11	of	of	ADP
alces-146	142	12	moose	moose	NOUN
alces-146	142	13	,	,	PUNCT
alces-146	142	14	2002–2012	2002–2012	NUM
alces-146	142	15	;	;	PUNCT
alces-146	142	16	red	red	ADJ
alces-146	142	17	square	square	ADJ
alces-146	142	18	symbols	symbol	NOUN
alces-146	142	19	=	=	SYM
alces-146	142	20	index	index	NOUN
alces-146	142	21	counts	count	NOUN
alces-146	142	22	predicted	predict	VERB
alces-146	142	23	by	by	ADP
alces-146	142	24	top	top	ADV
alces-146	142	25	-	-	PUNCT
alces-146	142	26	ranked	rank	VERB
alces-146	142	27	model	model	NOUN
alces-146	142	28	accounting	accounting	NOUN
alces-146	142	29	for	for	ADP
alces-146	142	30	mean	mean	ADJ
alces-146	142	31	annual	annual	ADJ
alces-146	142	32	moose	moose	NOUN
alces-146	142	33	activity	activity	NOUN
alces-146	142	34	and	and	CCONJ
alces-146	142	35	mean	mean	VERB
alces-146	142	36	annual	annual	ADJ
alces-146	142	37	snow	snow	NOUN
alces-146	142	38	cover	cover	NOUN
alces-146	142	39	;	;	PUNCT
alces-146	142	40	bold	bold	ADJ
alces-146	142	41	solid	solid	ADJ
alces-146	142	42	red	red	ADJ
alces-146	142	43	line	line	NOUN
alces-146	142	44	=	=	SYM
alces-146	142	45	linear	linear	ADJ
alces-146	142	46	prediction	prediction	NOUN
alces-146	142	47	from	from	ADP
alces-146	142	48	best	good	ADJ
alces-146	142	49	model	model	NOUN
alces-146	142	50	;	;	PUNCT
alces-146	142	51	bold	bold	PROPN
alces-146	142	52	dashed	dash	VERB
alces-146	142	53	red	red	ADJ
alces-146	142	54	line	line	NOUN
alces-146	142	55	=	=	PUNCT
alces-146	142	56	quadratic	quadratic	ADJ
alces-146	142	57	prediction	prediction	NOUN
alces-146	142	58	from	from	ADP
alces-146	142	59	best	good	ADJ
alces-146	142	60	model	model	NOUN
alces-146	142	61	;	;	PUNCT
alces-146	142	62	aic	aic	PROPN
alces-146	142	63	supports	support	VERB
alces-146	142	64	the	the	DET
alces-146	142	65	linear	linear	NOUN
alces-146	142	66	over	over	ADP
alces-146	142	67	the	the	DET
alces-146	142	68	quadratic	quadratic	ADJ
alces-146	142	69	.	.	PUNCT
alces-146	143	1	approximate	approximate	ADJ
alces-146	143	2	95	95	NUM
alces-146	143	3	%	%	NOUN
alces-146	143	4	confidence	confidence	NOUN
alces-146	143	5	limits	limit	NOUN
alces-146	143	6	surrounding	surround	VERB
alces-146	143	7	quadratic	quadratic	ADJ
alces-146	143	8	prediction	prediction	NOUN
alces-146	143	9	are	be	AUX
alces-146	143	10	shown	show	VERB
alces-146	143	11	in	in	ADP
alces-146	143	12	light	light	NOUN
alces-146	143	13	dashed	dash	VERB
alces-146	143	14	lines	line	NOUN
alces-146	143	15	.	.	PUNCT
alces-146	144	1	alces	alce	NOUN
alces-146	144	2	vol	vol	NOUN
alces-146	144	3	.	.	PROPN
alces-146	145	1	51	51	NUM
alces-146	145	2	,	,	PUNCT
alces-146	145	3	2015	2015	NUM
alces-146	145	4	harris	harris	X
alces-146	145	5	et	et	PROPN
alces-146	145	6	al	al	PROPN
alces-146	145	7	.	.	PROPN
alces-146	145	8	–	–	PUNCT
alces-146	145	9	estimating	estimate	VERB
alces-146	145	10	moose	moose	NOUN
alces-146	145	11	abundance	abundance	NOUN
alces-146	145	12	65	65	NUM
alces-146	145	13	although	although	SCONJ
alces-146	145	14	the	the	DET
alces-146	145	15	quadratic	quadratic	ADJ
alces-146	145	16	model	model	NOUN
alces-146	145	17	will	will	AUX
alces-146	145	18	always	always	ADV
alces-146	145	19	be	be	AUX
alces-146	145	20	disadvantaged	disadvantage	VERB
alces-146	145	21	when	when	SCONJ
alces-146	145	22	compared	compare	VERB
alces-146	145	23	with	with	ADP
alces-146	145	24	the	the	DET
alces-146	145	25	linear	linear	ADJ
alces-146	145	26	model	model	NOUN
alces-146	145	27	(	(	PUNCT
alces-146	145	28	by	by	ADP
alces-146	145	29	virtue	virtue	NOUN
alces-146	145	30	of	of	ADP
alces-146	145	31	having	have	VERB
alces-146	145	32	an	an	DET
alces-146	145	33	extra	extra	ADJ
alces-146	145	34	parameter	parameter	NOUN
alces-146	145	35	)	)	PUNCT
alces-146	145	36	,	,	PUNCT
alces-146	145	37	these	these	DET
alces-146	145	38	results	result	NOUN
alces-146	145	39	suggest	suggest	VERB
alces-146	145	40	that	that	SCONJ
alces-146	145	41	through	through	ADP
alces-146	145	42	2012	2012	NUM
alces-146	145	43	,	,	PUNCT
alces-146	145	44	counts	count	NOUN
alces-146	145	45	provided	provide	VERB
alces-146	145	46	no	no	DET
alces-146	145	47	evidence	evidence	NOUN
alces-146	145	48	of	of	ADP
alces-146	145	49	any	any	DET
alces-146	145	50	moderation	moderation	NOUN
alces-146	145	51	in	in	ADP
alces-146	145	52	the	the	DET
alces-146	145	53	population	population	NOUN
alces-146	145	54	growth	growth	NOUN
alces-146	145	55	rate	rate	NOUN
alces-146	145	56	.	.	PUNCT
alces-146	146	1	discussion	discussion	NOUN
alces-146	146	2	most	most	ADJ
alces-146	146	3	authors	author	NOUN
alces-146	146	4	describing	describe	VERB
alces-146	146	5	the	the	DET
alces-146	146	6	development	development	NOUN
alces-146	146	7	of	of	ADP
alces-146	146	8	sightability	sightability	NOUN
alces-146	146	9	models	model	NOUN
alces-146	146	10	caution	caution	VERB
alces-146	146	11	about	about	ADP
alces-146	146	12	extrapolating	extrapolate	VERB
alces-146	146	13	coefficients	coefficient	NOUN
alces-146	146	14	beyond	beyond	ADP
alces-146	146	15	the	the	DET
alces-146	146	16	conditions	condition	NOUN
alces-146	146	17	under	under	ADP
alces-146	146	18	which	which	PRON
alces-146	146	19	they	they	PRON
alces-146	146	20	were	be	AUX
alces-146	146	21	developed	develop	VERB
alces-146	146	22	,	,	PUNCT
alces-146	146	23	and	and	CCONJ
alces-146	146	24	we	we	PRON
alces-146	146	25	concur	concur	VERB
alces-146	146	26	.	.	PUNCT
alces-146	147	1	although	although	SCONJ
alces-146	147	2	all	all	DET
alces-146	147	3	4	4	NUM
alces-146	147	4	sightability	sightability	NOUN
alces-146	147	5	models	model	NOUN
alces-146	147	6	used	use	VERB
alces-146	147	7	very	very	ADV
alces-146	147	8	similar	similar	ADJ
alces-146	147	9	covariates	covariate	NOUN
alces-146	147	10	,	,	PUNCT
alces-146	147	11	subtle	subtle	ADJ
alces-146	147	12	differences	difference	NOUN
alces-146	147	13	in	in	ADP
alces-146	147	14	their	their	PRON
alces-146	147	15	coefficients	coefficient	NOUN
alces-146	147	16	led	lead	VERB
alces-146	147	17	to	to	ADP
alces-146	147	18	dramatically	dramatically	ADV
alces-146	147	19	disparate	disparate	ADJ
alces-146	147	20	estimates	estimate	NOUN
alces-146	147	21	when	when	SCONJ
alces-146	147	22	identical	identical	ADJ
alces-146	147	23	data	data	NOUN
alces-146	147	24	sets	set	NOUN
alces-146	147	25	were	be	AUX
alces-146	147	26	applied	apply	VERB
alces-146	147	27	to	to	ADP
alces-146	147	28	them	they	PRON
alces-146	147	29	.	.	PUNCT
alces-146	148	1	although	although	SCONJ
alces-146	148	2	sightability	sightability	NOUN
alces-146	148	3	modeling	modeling	NOUN
alces-146	148	4	is	be	AUX
alces-146	148	5	a	a	DET
alces-146	148	6	well	well	ADV
alces-146	148	7	-	-	PUNCT
alces-146	148	8	explored	explore	VERB
alces-146	148	9	and	and	CCONJ
alces-146	148	10	valid	valid	ADJ
alces-146	148	11	approach	approach	NOUN
alces-146	148	12	to	to	ADP
alces-146	148	13	estimating	estimate	VERB
alces-146	148	14	detection	detection	NOUN
alces-146	148	15	probability	probability	NOUN
alces-146	148	16	,	,	PUNCT
alces-146	148	17	it	it	PRON
alces-146	148	18	is	be	AUX
alces-146	148	19	vulnerable	vulnerable	ADJ
alces-146	148	20	to	to	ADP
alces-146	148	21	extrapolation	extrapolation	NOUN
alces-146	148	22	beyond	beyond	ADP
alces-146	148	23	site	site	NOUN
alces-146	148	24	-	-	PUNCT
alces-146	148	25	specific	specific	ADJ
alces-146	148	26	conditions	condition	NOUN
alces-146	148	27	.	.	PUNCT
alces-146	149	1	we	we	PRON
alces-146	149	2	have	have	AUX
alces-146	149	3	concluded	conclude	VERB
alces-146	149	4	that	that	SCONJ
alces-146	149	5	should	should	AUX
alces-146	149	6	we	we	PRON
alces-146	149	7	wish	wish	VERB
alces-146	149	8	to	to	PART
alces-146	149	9	employ	employ	VERB
alces-146	149	10	a	a	DET
alces-146	149	11	valid	valid	ADJ
alces-146	149	12	sightability	sightability	NOUN
alces-146	149	13	model	model	NOUN
alces-146	149	14	for	for	ADP
alces-146	149	15	moose	moose	NOUN
alces-146	149	16	in	in	ADP
alces-146	149	17	northeastern	northeastern	ADJ
alces-146	149	18	washington	washington	PROPN
alces-146	149	19	,	,	PUNCT
alces-146	149	20	we	we	PRON
alces-146	149	21	have	have	VERB
alces-146	149	22	little	little	ADJ
alces-146	149	23	choice	choice	NOUN
alces-146	149	24	but	but	SCONJ
alces-146	149	25	to	to	PART
alces-146	149	26	develop	develop	VERB
alces-146	149	27	one	one	NUM
alces-146	149	28	de	de	ADV
alces-146	149	29	novo	novo	NOUN
alces-146	149	30	using	use	VERB
alces-146	149	31	radiocollared	radiocollare	VERB
alces-146	149	32	animals	animal	NOUN
alces-146	149	33	.	.	PUNCT
alces-146	150	1	even	even	ADV
alces-146	150	2	then	then	ADV
alces-146	150	3	,	,	PUNCT
alces-146	150	4	the	the	DET
alces-146	150	5	relatively	relatively	ADV
alces-146	150	6	dense	dense	ADJ
alces-146	150	7	conifer	conifer	NOUN
alces-146	150	8	cover	cover	NOUN
alces-146	150	9	that	that	PRON
alces-146	150	10	characterizes	characterize	VERB
alces-146	150	11	most	most	ADJ
alces-146	150	12	moose	moose	NOUN
alces-146	150	13	habitat	habitat	NOUN
alces-146	150	14	in	in	ADP
alces-146	150	15	northeastern	northeastern	ADJ
alces-146	150	16	washington	washington	PROPN
alces-146	150	17	may	may	AUX
alces-146	150	18	,	,	PUNCT
alces-146	150	19	at	at	ADP
alces-146	150	20	best	good	ADJ
alces-146	150	21	,	,	PUNCT
alces-146	150	22	yield	yield	VERB
alces-146	150	23	a	a	DET
alces-146	150	24	sightability	sightability	NOUN
alces-146	150	25	model	model	NOUN
alces-146	150	26	sensitive	sensitive	ADJ
alces-146	150	27	to	to	ADP
alces-146	150	28	errors	error	NOUN
alces-146	150	29	in	in	ADP
alces-146	150	30	assigning	assign	VERB
alces-146	150	31	covariate	covariate	ADJ
alces-146	150	32	scores	score	NOUN
alces-146	150	33	and	and	CCONJ
alces-146	150	34	have	have	VERB
alces-146	150	35	low	low	ADJ
alces-146	150	36	precision	precision	NOUN
alces-146	150	37	.	.	PUNCT
alces-146	151	1	when	when	SCONJ
alces-146	151	2	we	we	PRON
alces-146	151	3	accounted	account	VERB
alces-146	151	4	for	for	ADP
alces-146	151	5	detectionrelated	detectionrelated	ADJ
alces-146	151	6	covariates	covariate	NOUN
alces-146	151	7	and	and	CCONJ
alces-146	151	8	autocorrelation	autocorrelation	NOUN
alces-146	151	9	of	of	ADP
alces-146	151	10	counts	count	NOUN
alces-146	151	11	,	,	PUNCT
alces-146	151	12	our	our	PRON
alces-146	151	13	best	good	ADJ
alces-146	151	14	estimate	estimate	NOUN
alces-146	151	15	of	of	ADP
alces-146	151	16	the	the	DET
alces-146	151	17	rate	rate	NOUN
alces-146	151	18	of	of	ADP
alces-146	151	19	population	population	NOUN
alces-146	151	20	growth	growth	NOUN
alces-146	151	21	was	be	AUX
alces-146	151	22	lowered	lower	VERB
alces-146	151	23	slightly	slightly	ADV
alces-146	151	24	,	,	PUNCT
alces-146	151	25	but	but	CCONJ
alces-146	151	26	this	this	PRON
alces-146	151	27	also	also	ADV
alces-146	151	28	clarified	clarify	VERB
alces-146	151	29	that	that	SCONJ
alces-146	151	30	simple	simple	ADJ
alces-146	151	31	linear	linear	ADJ
alces-146	151	32	regression	regression	NOUN
alces-146	151	33	provided	provide	VERB
alces-146	151	34	a	a	DET
alces-146	151	35	misleading	misleading	ADJ
alces-146	151	36	assessment	assessment	NOUN
alces-146	151	37	of	of	ADP
alces-146	151	38	precision	precision	NOUN
alces-146	151	39	.	.	PUNCT
alces-146	152	1	although	although	SCONJ
alces-146	152	2	available	available	ADJ
alces-146	152	3	evidence	evidence	NOUN
alces-146	152	4	from	from	ADP
alces-146	152	5	both	both	DET
alces-146	152	6	approaches	approach	NOUN
alces-146	152	7	suggested	suggest	VERB
alces-146	152	8	a	a	DET
alces-146	152	9	positive	positive	ADJ
alces-146	152	10	trend	trend	NOUN
alces-146	152	11	,	,	PUNCT
alces-146	152	12	the	the	DET
alces-146	152	13	addition	addition	NOUN
alces-146	152	14	of	of	ADP
alces-146	152	15	plausible	plausible	ADJ
alces-146	152	16	sightability	sightability	NOUN
alces-146	152	17	covariates	covariate	VERB
alces-146	152	18	(	(	PUNCT
alces-146	152	19	dennis	dennis	PROPN
alces-146	152	20	et	et	PROPN
alces-146	152	21	al	al	PROPN
alces-146	152	22	.	.	PROPN
alces-146	152	23	1991	1991	NUM
alces-146	152	24	)	)	PUNCT
alces-146	152	25	showed	show	VERB
alces-146	152	26	that	that	SCONJ
alces-146	152	27	data	datum	NOUN
alces-146	152	28	were	be	AUX
alces-146	152	29	not	not	PART
alces-146	152	30	yet	yet	ADV
alces-146	152	31	sufficiently	sufficiently	ADV
alces-146	152	32	precise	precise	ADJ
alces-146	152	33	or	or	CCONJ
alces-146	152	34	abundant	abundant	ADJ
alces-146	152	35	to	to	PART
alces-146	152	36	rule	rule	VERB
alces-146	152	37	out	out	ADP
alces-146	152	38	an	an	DET
alces-146	152	39	unchanging	unchanging	ADJ
alces-146	152	40	(	(	PUNCT
alces-146	152	41	or	or	CCONJ
alces-146	152	42	even	even	ADV
alces-146	152	43	negative	negative	ADJ
alces-146	152	44	)	)	PUNCT
alces-146	152	45	trend	trend	NOUN
alces-146	152	46	with	with	ADP
alces-146	152	47	time	time	NOUN
alces-146	152	48	.	.	PUNCT
alces-146	153	1	the	the	DET
alces-146	153	2	fact	fact	NOUN
alces-146	153	3	that	that	SCONJ
alces-146	153	4	the	the	DET
alces-146	153	5	standard	standard	ADJ
alces-146	153	6	error	error	NOUN
alces-146	153	7	of	of	ADP
alces-146	153	8	r	r	NOUN
alces-146	153	9	(	(	PUNCT
alces-146	153	10	ln	ln	NOUN
alces-146	153	11	λ	λ	NOUN
alces-146	153	12	)	)	PUNCT
alces-146	153	13	exceeded	exceed	VERB
alces-146	153	14	its	its	PRON
alces-146	153	15	point	point	NOUN
alces-146	153	16	estimate	estimate	NOUN
alces-146	153	17	under	under	ADP
alces-146	153	18	the	the	DET
alces-146	153	19	model	model	NOUN
alces-146	153	20	lacking	lack	VERB
alces-146	153	21	any	any	DET
alces-146	153	22	sightability	sightability	NOUN
alces-146	153	23	covariates	covariate	VERB
alces-146	153	24	(	(	PUNCT
alces-146	153	25	model	model	NOUN
alces-146	153	26	3	3	NUM
alces-146	153	27	,	,	PUNCT
alces-146	153	28	table	table	NOUN
alces-146	153	29	3	3	NUM
alces-146	153	30	)	)	PUNCT
alces-146	153	31	suggests	suggest	VERB
alces-146	153	32	that	that	SCONJ
alces-146	153	33	most	most	ADJ
alces-146	153	34	of	of	ADP
alces-146	153	35	the	the	DET
alces-146	153	36	difference	difference	NOUN
alces-146	153	37	in	in	ADP
alces-146	153	38	analyses	analysis	NOUN
alces-146	153	39	came	come	VERB
alces-146	153	40	from	from	ADP
alces-146	153	41	accounting	account	VERB
alces-146	153	42	for	for	ADP
alces-146	153	43	autocorrelation	autocorrelation	NOUN
alces-146	153	44	rather	rather	ADV
alces-146	153	45	than	than	ADP
alces-146	153	46	adding	add	VERB
alces-146	153	47	covariates	covariate	NOUN
alces-146	153	48	.	.	PUNCT
alces-146	154	1	the	the	DET
alces-146	154	2	estimates	estimate	NOUN
alces-146	154	3	of	of	ADP
alces-146	154	4	r	r	NOUN
alces-146	154	5	(	(	PUNCT
alces-146	154	6	i.e.	i.e.	X
alces-146	154	7	,	,	PUNCT
alces-146	154	8	ln	ln	ADJ
alces-146	154	9	λ	λ	NOUN
alces-146	154	10	)	)	PUNCT
alces-146	154	11	were	be	AUX
alces-146	154	12	identical	identical	ADJ
alces-146	154	13	(	(	PUNCT
alces-146	154	14	0.084	0.084	NUM
alces-146	154	15	)	)	PUNCT
alces-146	154	16	,	,	PUNCT
alces-146	154	17	but	but	CCONJ
alces-146	154	18	the	the	DET
alces-146	154	19	se	se	PROPN
alces-146	154	20	in	in	ADP
alces-146	154	21	the	the	DET
alces-146	154	22	dennis	dennis	PROPN
alces-146	154	23	et	et	PROPN
alces-146	154	24	al	al	PROPN
alces-146	154	25	.	.	PROPN
alces-146	155	1	(	(	PUNCT
alces-146	155	2	1991	1991	NUM
alces-146	155	3	)	)	PUNCT
alces-146	155	4	regression	regression	NOUN
alces-146	155	5	approach	approach	NOUN
alces-146	155	6	(	(	PUNCT
alces-146	155	7	0.115	0.115	NUM
alces-146	155	8	)	)	PUNCT
alces-146	155	9	was	be	AUX
alces-146	155	10	much	much	ADV
alces-146	155	11	higher	high	ADJ
alces-146	155	12	than	than	ADP
alces-146	155	13	the	the	DET
alces-146	155	14	0.019	0.019	NUM
alces-146	155	15	returned	return	VERB
alces-146	155	16	by	by	ADP
alces-146	155	17	the	the	DET
alces-146	155	18	simple	simple	ADJ
alces-146	155	19	linear	linear	PROPN
alces-146	155	20	regression	regression	NOUN
alces-146	155	21	model	model	NOUN
alces-146	155	22	.	.	PUNCT
alces-146	156	1	however	however	ADV
alces-146	156	2	,	,	PUNCT
alces-146	156	3	by	by	ADP
alces-146	156	4	examining	examine	VERB
alces-146	156	5	the	the	DET
alces-146	156	6	suite	suite	NOUN
alces-146	156	7	of	of	ADP
alces-146	156	8	table	table	NOUN
alces-146	156	9	4	4	NUM
alces-146	156	10	.	.	PUNCT
alces-146	156	11	traditional	traditional	ADJ
alces-146	156	12	models	model	NOUN
alces-146	156	13	regressing	regress	VERB
alces-146	156	14	ln(counts	ln(count	NOUN
alces-146	156	15	)	)	PUNCT
alces-146	156	16	on	on	ADP
alces-146	156	17	time	time	NOUN
alces-146	156	18	,	,	PUNCT
alces-146	156	19	using	use	VERB
alces-146	156	20	the	the	DET
alces-146	156	21	top	top	ADJ
alces-146	156	22	ranking	rank	VERB
alces-146	156	23	suite	suite	NOUN
alces-146	156	24	of	of	ADP
alces-146	156	25	covariates	covariate	NOUN
alces-146	156	26	from	from	ADP
alces-146	156	27	table	table	NOUN
alces-146	156	28	3	3	NUM
alces-146	156	29	,	,	PUNCT
alces-146	156	30	comparing	compare	VERB
alces-146	156	31	the	the	DET
alces-146	156	32	fits	fit	NOUN
alces-146	156	33	of	of	ADP
alces-146	156	34	linear	linear	ADJ
alces-146	156	35	and	and	CCONJ
alces-146	156	36	quadratic	quadratic	ADJ
alces-146	156	37	relationships	relationship	NOUN
alces-146	156	38	with	with	ADP
alces-146	156	39	time	time	NOUN
alces-146	156	40	.	.	PUNCT
alces-146	157	1	support	support	NOUN
alces-146	157	2	for	for	ADP
alces-146	157	3	the	the	DET
alces-146	157	4	quadratic	quadratic	NOUN
alces-146	157	5	over	over	ADP
alces-146	157	6	the	the	DET
alces-146	157	7	linear	linear	ADJ
alces-146	157	8	model	model	NOUN
alces-146	157	9	would	would	AUX
alces-146	157	10	suggest	suggest	VERB
alces-146	157	11	that	that	SCONJ
alces-146	157	12	r	r	NOUN
alces-146	157	13	,	,	PUNCT
alces-146	157	14	the	the	DET
alces-146	157	15	intrinsic	intrinsic	ADJ
alces-146	157	16	rate	rate	NOUN
alces-146	157	17	of	of	ADP
alces-146	157	18	growth	growth	NOUN
alces-146	157	19	,	,	PUNCT
alces-146	157	20	increased	increase	VERB
alces-146	157	21	or	or	CCONJ
alces-146	157	22	decreased	decrease	VERB
alces-146	157	23	during	during	ADP
alces-146	157	24	the	the	DET
alces-146	157	25	period	period	NOUN
alces-146	157	26	.	.	PUNCT
alces-146	158	1	predictors	predictor	NOUN
alces-146	158	2	time	time	PROPN
alces-146	158	3	year	year	PROPN
alces-146	158	4	se	se	PROPN
alces-146	158	5	t	t	PROPN
alces-146	158	6	p	p	PROPN
alces-146	158	7	year2	year2	PROPN
alces-146	158	8	se	se	PROPN
alces-146	158	9	t	t	PROPN
alces-146	158	10	p	p	PROPN
alces-146	158	11	aicc	aicc	PROPN
alces-146	158	12	aicc	aicc	NOUN
alces-146	158	13	weight	weight	NOUN
alces-146	158	14	intercept	intercept	NOUN
alces-146	159	1	+	+	CCONJ
alces-146	159	2	snow	snow	NOUN
alces-146	159	3	linear	linear	PROPN
alces-146	159	4	0.075	0.075	NUM
alces-146	159	5	0.015	0.015	NUM
alces-146	159	6	5.05	5.05	NUM
alces-146	159	7	0.001	0.001	NUM
alces-146	159	8	0.722	0.722	NUM
alces-146	159	9	0.902	0.902	NUM
alces-146	159	10	quadratic	quadratic	ADJ
alces-146	159	11	0.073	0.073	NUM
alces-146	159	12	0.014	0.014	NUM
alces-146	159	13	5.25	5.25	NUM
alces-146	159	14	<	<	X
alces-146	159	15	0.001	0.001	NUM
alces-146	159	16	0.007	0.007	NUM
alces-146	159	17	0.013	0.013	NUM
alces-146	159	18	1.45	1.45	NUM
alces-146	159	19	0.190	0.190	NUM
alces-146	159	20	5.164	5.164	NUM
alces-146	159	21	0.098	0.098	NUM
alces-146	159	22	intercept	intercept	NOUN
alces-146	159	23	+	+	CCONJ
alces-146	159	24	snow	snow	NOUN
alces-146	159	25	+	+	CCONJ
alces-146	159	26	activity	activity	NOUN
alces-146	159	27	linear	linear	NOUN
alces-146	159	28	0.095	0.095	NUM
alces-146	159	29	0.014	0.014	NUM
alces-146	159	30	6.72	6.72	NUM
alces-146	159	31	0.002	0.002	NUM
alces-146	159	32	1.148	1.148	NUM
alces-146	159	33	0.995	0.995	NUM
alces-146	159	34	quadratic	quadratic	ADJ
alces-146	159	35	0.099	0.099	NUM
alces-146	159	36	0.020	0.020	NUM
alces-146	159	37	4.98	4.98	NUM
alces-146	159	38	−0.003	−0.003	NOUN
alces-146	159	39	0.007	0.007	NUM
alces-146	159	40	−0.36	−0.36	VERB
alces-146	159	41	0.7289	0.7289	NUM
alces-146	159	42	11.909	11.909	NUM
alces-146	159	43	0.005	0.005	NUM
alces-146	159	44	intercept	intercept	NOUN
alces-146	159	45	only	only	ADV
alces-146	159	46	linear	linear	PROPN
alces-146	159	47	0.084	0.084	NUM
alces-146	159	48	0.018	0.018	NUM
alces-146	160	1	4.50	4.50	NUM
alces-146	160	2	0.001	0.001	NUM
alces-146	160	3	2.661	2.661	NUM
alces-146	160	4	0.928	0.928	NUM
alces-146	160	5	quadratic	quadratic	ADJ
alces-146	160	6	0.084	0.084	NUM
alces-146	160	7	0.020	0.020	NUM
alces-146	160	8	4.26	4.26	NUM
alces-146	160	9	0.003	0.003	NUM
alces-146	160	10	0.002	0.002	NUM
alces-146	160	11	0.007	0.007	NUM
alces-146	160	12	0.30	0.30	NUM
alces-146	160	13	0.775	0.775	NUM
alces-146	160	14	7.780	7.780	NUM
alces-146	160	15	0.072	0.072	NUM
alces-146	160	16	intercept	intercept	NOUN
alces-146	160	17	+	+	CCONJ
alces-146	160	18	activity	activity	NOUN
alces-146	160	19	linear	linear	NOUN
alces-146	160	20	0.099	0.099	NUM
alces-146	160	21	0.023	0.023	NUM
alces-146	160	22	4.22	4.22	NUM
alces-146	160	23	0.003	0.003	NUM
alces-146	160	24	6.541	6.541	NUM
alces-146	160	25	0.958	0.958	NUM
alces-146	160	26	quadratic	quadratic	ADJ
alces-146	160	27	0.115	0.115	NUM
alces-146	160	28	0.031	0.031	NUM
alces-146	160	29	3.74	3.74	NUM
alces-146	160	30	0.007	0.007	NUM
alces-146	160	31	−0.010	−0.010	NOUN
alces-146	160	32	0.012	0.012	NUM
alces-146	160	33	−0.85	−0.85	NOUN
alces-146	160	34	0.423	0.423	NUM
alces-146	160	35	12.789	12.789	NUM
alces-146	160	36	0.042	0.042	NUM
alces-146	160	37	66	66	NUM
alces-146	160	38	estimating	estimate	VERB
alces-146	160	39	moose	moose	NOUN
alces-146	160	40	abundance	abundance	NOUN
alces-146	160	41	–	–	PUNCT
alces-146	160	42	harris	harris	PROPN
alces-146	160	43	et	et	PROPN
alces-146	160	44	al	al	PROPN
alces-146	160	45	.	.	PROPN
alces-146	161	1	alces	alce	NOUN
alces-146	161	2	vol	vol	NOUN
alces-146	161	3	.	.	PROPN
alces-146	162	1	51	51	NUM
alces-146	162	2	,	,	PUNCT
alces-146	162	3	2015	2015	NUM
alces-146	162	4	models	model	NOUN
alces-146	162	5	incorporating	incorporate	VERB
alces-146	162	6	the	the	DET
alces-146	162	7	sightability	sightability	NOUN
alces-146	162	8	covariates	covariate	VERB
alces-146	162	9	,	,	PUNCT
alces-146	162	10	we	we	PRON
alces-146	162	11	gained	gain	VERB
alces-146	162	12	insight	insight	NOUN
alces-146	162	13	into	into	ADP
alces-146	162	14	the	the	DET
alces-146	162	15	potential	potential	NOUN
alces-146	162	16	that	that	SCONJ
alces-146	162	17	annual	annual	ADJ
alces-146	162	18	variation	variation	NOUN
alces-146	162	19	of	of	ADP
alces-146	162	20	one	one	NUM
alces-146	162	21	or	or	CCONJ
alces-146	162	22	another	another	PRON
alces-146	162	23	was	be	AUX
alces-146	162	24	the	the	DET
alces-146	162	25	true	true	ADJ
alces-146	162	26	driver	driver	NOUN
alces-146	162	27	underlying	underlie	VERB
alces-146	162	28	the	the	DET
alces-146	162	29	apparent	apparent	ADJ
alces-146	162	30	trend	trend	NOUN
alces-146	162	31	.	.	PUNCT
alces-146	163	1	rather	rather	ADV
alces-146	163	2	than	than	ADP
alces-146	163	3	choosing	choose	VERB
alces-146	163	4	only	only	ADV
alces-146	163	5	a	a	DET
alces-146	163	6	single	single	ADJ
alces-146	163	7	“	"	PUNCT
alces-146	163	8	best	good	ADJ
alces-146	163	9	”	"	PUNCT
alces-146	163	10	model	model	NOUN
alces-146	163	11	,	,	PUNCT
alces-146	163	12	our	our	PRON
alces-146	163	13	model	model	NOUN
alces-146	163	14	averaging	averaging	NOUN
alces-146	163	15	embraced	embrace	VERB
alces-146	163	16	and	and	CCONJ
alces-146	163	17	accounted	account	VERB
alces-146	163	18	for	for	ADP
alces-146	163	19	uncertainty	uncertainty	NOUN
alces-146	163	20	while	while	SCONJ
alces-146	163	21	making	make	VERB
alces-146	163	22	use	use	NOUN
alces-146	163	23	of	of	ADP
alces-146	163	24	the	the	DET
alces-146	163	25	less	less	ADV
alces-146	163	26	-	-	PUNCT
alces-146	163	27	informative	informative	ADJ
alces-146	163	28	covariates	covariate	NOUN
alces-146	163	29	.	.	PUNCT
alces-146	164	1	that	that	PRON
alces-146	164	2	said	say	VERB
alces-146	164	3	,	,	PUNCT
alces-146	164	4	its	its	PRON
alces-146	164	5	ambition	ambition	NOUN
alces-146	164	6	was	be	AUX
alces-146	164	7	modest	modest	ADJ
alces-146	164	8	;	;	PUNCT
alces-146	164	9	it	it	PRON
alces-146	164	10	attempted	attempt	VERB
alces-146	164	11	to	to	PART
alces-146	164	12	correct	correct	VERB
alces-146	164	13	a	a	DET
alces-146	164	14	trend	trend	NOUN
alces-146	164	15	index	index	NOUN
alces-146	164	16	rather	rather	ADV
alces-146	164	17	than	than	ADP
alces-146	164	18	to	to	PART
alces-146	164	19	estimate	estimate	VERB
alces-146	164	20	true	true	ADJ
alces-146	164	21	abundance	abundance	NOUN
alces-146	164	22	.	.	PUNCT
alces-146	165	1	it	it	PRON
alces-146	165	2	did	do	AUX
alces-146	165	3	not	not	PART
alces-146	165	4	provide	provide	VERB
alces-146	165	5	a	a	DET
alces-146	165	6	basis	basis	NOUN
alces-146	165	7	for	for	ADP
alces-146	165	8	scaling	scale	VERB
alces-146	165	9	our	our	PRON
alces-146	165	10	estimated	estimate	VERB
alces-146	165	11	population	population	NOUN
alces-146	165	12	increase	increase	NOUN
alces-146	165	13	in	in	ADP
alces-146	165	14	real	real	ADJ
alces-146	165	15	numbers	number	NOUN
alces-146	165	16	of	of	ADP
alces-146	165	17	moose	moose	NOUN
alces-146	165	18	,	,	PUNCT
alces-146	165	19	and	and	CCONJ
alces-146	165	20	provided	provide	VERB
alces-146	165	21	only	only	ADV
alces-146	165	22	a	a	DET
alces-146	165	23	relative	relative	ADJ
alces-146	165	24	,	,	PUNCT
alces-146	165	25	not	not	PART
alces-146	165	26	an	an	DET
alces-146	165	27	absolute	absolute	ADJ
alces-146	165	28	measure	measure	NOUN
alces-146	165	29	of	of	ADP
alces-146	165	30	detectability	detectability	NOUN
alces-146	165	31	.	.	PUNCT
alces-146	166	1	without	without	ADP
alces-146	166	2	the	the	DET
alces-146	166	3	latter	latter	ADJ
alces-146	166	4	,	,	PUNCT
alces-146	166	5	we	we	PRON
alces-146	166	6	remain	remain	VERB
alces-146	166	7	unable	unable	ADJ
alces-146	166	8	to	to	PART
alces-146	166	9	estimate	estimate	VERB
alces-146	166	10	moose	moose	NOUN
alces-146	166	11	abundance	abundance	NOUN
alces-146	166	12	.	.	PUNCT
alces-146	167	1	one	one	NUM
alces-146	167	2	surprising	surprising	ADJ
alces-146	167	3	finding	finding	NOUN
alces-146	167	4	in	in	ADP
alces-146	167	5	our	our	PRON
alces-146	167	6	use	use	NOUN
alces-146	167	7	of	of	ADP
alces-146	167	8	ancillary	ancillary	ADJ
alces-146	167	9	data	datum	NOUN
alces-146	167	10	to	to	PART
alces-146	167	11	refine	refine	VERB
alces-146	167	12	our	our	PRON
alces-146	167	13	estimate	estimate	NOUN
alces-146	167	14	of	of	ADP
alces-146	167	15	population	population	NOUN
alces-146	167	16	trend	trend	NOUN
alces-146	167	17	was	be	AUX
alces-146	167	18	that	that	SCONJ
alces-146	167	19	models	model	NOUN
alces-146	167	20	incorporating	incorporate	VERB
alces-146	167	21	vegetation	vegetation	NOUN
alces-146	167	22	cover	cover	NOUN
alces-146	167	23	,	,	PUNCT
alces-146	167	24	invariably	invariably	ADV
alces-146	167	25	identified	identify	VERB
alces-146	167	26	as	as	ADP
alces-146	167	27	the	the	DET
alces-146	167	28	most	most	ADV
alces-146	167	29	important	important	ADJ
alces-146	167	30	covariate	covariate	NOUN
alces-146	167	31	in	in	ADP
alces-146	167	32	sightability	sightability	NOUN
alces-146	167	33	models	model	NOUN
alces-146	167	34	(	(	PUNCT
alces-146	167	35	anderson	anderson	PROPN
alces-146	167	36	and	and	CCONJ
alces-146	167	37	lindzey	lindzey	PROPN
alces-146	167	38	1996	1996	NUM
alces-146	167	39	,	,	PUNCT
alces-146	167	40	drummer	drummer	NOUN
alces-146	167	41	and	and	CCONJ
alces-146	167	42	aho	aho	PROPN
alces-146	167	43	1998	1998	NUM
alces-146	167	44	,	,	PUNCT
alces-146	167	45	quayle	quayle	PROPN
alces-146	167	46	et	et	PROPN
alces-146	167	47	al	al	PROPN
alces-146	167	48	.	.	PROPN
alces-146	167	49	2001	2001	NUM
alces-146	167	50	,	,	PUNCT
alces-146	167	51	guidice	guidice	PROPN
alces-146	167	52	et	et	PROPN
alces-146	167	53	al	al	PROPN
alces-146	167	54	.	.	PROPN
alces-146	167	55	2012	2012	NUM
alces-146	167	56	,	,	PUNCT
alces-146	167	57	oehlers	oehler	NOUN
alces-146	167	58	et	et	PROPN
alces-146	167	59	al	al	PROPN
alces-146	167	60	.	.	PROPN
alces-146	167	61	2012	2012	NUM
alces-146	167	62	)	)	PUNCT
alces-146	167	63	,	,	PUNCT
alces-146	167	64	were	be	AUX
alces-146	167	65	not	not	PART
alces-146	167	66	ranked	rank	VERB
alces-146	167	67	highly	highly	ADV
alces-146	167	68	(	(	PUNCT
alces-146	167	69	table	table	NOUN
alces-146	167	70	3	3	NUM
alces-146	167	71	)	)	PUNCT
alces-146	167	72	.	.	PUNCT
alces-146	168	1	one	one	NUM
alces-146	168	2	possible	possible	ADJ
alces-146	168	3	reason	reason	NOUN
alces-146	168	4	is	be	AUX
alces-146	168	5	that	that	SCONJ
alces-146	168	6	in	in	ADP
alces-146	168	7	this	this	DET
alces-146	168	8	analysis	analysis	NOUN
alces-146	168	9	,	,	PUNCT
alces-146	168	10	unlike	unlike	ADP
alces-146	168	11	with	with	ADP
alces-146	168	12	sightability	sightability	NOUN
alces-146	168	13	models	model	NOUN
alces-146	168	14	,	,	PUNCT
alces-146	168	15	we	we	PRON
alces-146	168	16	were	be	AUX
alces-146	168	17	not	not	PART
alces-146	168	18	assessing	assess	VERB
alces-146	168	19	the	the	DET
alces-146	168	20	influence	influence	NOUN
alces-146	168	21	of	of	ADP
alces-146	168	22	vegetation	vegetation	NOUN
alces-146	168	23	cover	cover	NOUN
alces-146	168	24	ability	ability	NOUN
alces-146	168	25	to	to	PART
alces-146	168	26	prevent	prevent	VERB
alces-146	168	27	detection	detection	NOUN
alces-146	168	28	,	,	PUNCT
alces-146	168	29	but	but	CCONJ
alces-146	168	30	rather	rather	ADV
alces-146	168	31	its	its	PRON
alces-146	168	32	relationship	relationship	NOUN
alces-146	168	33	with	with	ADP
alces-146	168	34	animals	animal	NOUN
alces-146	168	35	already	already	ADV
alces-146	168	36	detected	detect	VERB
alces-146	168	37	.	.	PUNCT
alces-146	169	1	our	our	PRON
alces-146	169	2	regression	regression	NOUN
alces-146	169	3	approach	approach	NOUN
alces-146	169	4	was	be	AUX
alces-146	169	5	limited	limit	VERB
alces-146	169	6	to	to	ADP
alces-146	169	7	data	datum	NOUN
alces-146	169	8	from	from	ADP
alces-146	169	9	animals	animal	NOUN
alces-146	169	10	that	that	PRON
alces-146	169	11	were	be	AUX
alces-146	169	12	observed	observe	VERB
alces-146	169	13	.	.	PUNCT
alces-146	170	1	also	also	ADV
alces-146	170	2	,	,	PUNCT
alces-146	170	3	our	our	PRON
alces-146	170	4	regression	regression	NOUN
alces-146	170	5	analysis	analysis	NOUN
alces-146	170	6	necessarily	necessarily	ADV
alces-146	170	7	used	use	VERB
alces-146	170	8	the	the	DET
alces-146	170	9	means	mean	NOUN
alces-146	170	10	of	of	ADP
alces-146	170	11	all	all	DET
alces-146	170	12	covariates	covariate	NOUN
alces-146	170	13	assessed	assess	VERB
alces-146	170	14	across	across	ADP
alces-146	170	15	all	all	DET
alces-146	170	16	animals	animal	NOUN
alces-146	170	17	observed	observe	VERB
alces-146	170	18	in	in	ADP
alces-146	170	19	each	each	DET
alces-146	170	20	year	year	NOUN
alces-146	170	21	,	,	PUNCT
alces-146	170	22	in	in	ADP
alces-146	170	23	contrast	contrast	NOUN
alces-146	170	24	to	to	ADP
alces-146	170	25	their	their	PRON
alces-146	170	26	use	use	NOUN
alces-146	170	27	in	in	ADP
alces-146	170	28	sightability	sightability	NOUN
alces-146	170	29	models	model	NOUN
alces-146	170	30	where	where	SCONJ
alces-146	170	31	they	they	PRON
alces-146	170	32	are	be	AUX
alces-146	170	33	assessed	assess	VERB
alces-146	170	34	from	from	ADP
alces-146	170	35	observations	observation	NOUN
alces-146	170	36	of	of	ADP
alces-146	170	37	each	each	DET
alces-146	170	38	animal	animal	NOUN
alces-146	170	39	group	group	NOUN
alces-146	170	40	.	.	PUNCT
alces-146	171	1	our	our	PRON
alces-146	171	2	regression	regression	NOUN
alces-146	171	3	approach	approach	NOUN
alces-146	171	4	could	could	AUX
alces-146	171	5	have	have	AUX
alces-146	171	6	been	be	AUX
alces-146	171	7	biased	bias	VERB
alces-146	171	8	by	by	ADP
alces-146	171	9	covariates	covariate	NOUN
alces-146	171	10	that	that	PRON
alces-146	171	11	were	be	AUX
alces-146	171	12	not	not	PART
alces-146	171	13	quantified	quantify	VERB
alces-146	171	14	and/or	and/or	CCONJ
alces-146	171	15	included	include	VERB
alces-146	171	16	in	in	ADP
alces-146	171	17	our	our	PRON
alces-146	171	18	models	model	NOUN
alces-146	171	19	.	.	PUNCT
alces-146	172	1	first	first	ADV
alces-146	172	2	,	,	PUNCT
alces-146	172	3	our	our	PRON
alces-146	172	4	annual	annual	ADJ
alces-146	172	5	selection	selection	NOUN
alces-146	172	6	of	of	ADP
alces-146	172	7	survey	survey	NOUN
alces-146	172	8	blocks	block	NOUN
alces-146	172	9	may	may	AUX
alces-146	172	10	have	have	AUX
alces-146	172	11	been	be	AUX
alces-146	172	12	subconsciously	subconsciously	ADV
alces-146	172	13	biased	bias	VERB
alces-146	172	14	to	to	PART
alces-146	172	15	increasingly	increasingly	ADV
alces-146	172	16	favor	favor	VERB
alces-146	172	17	those	those	PRON
alces-146	172	18	with	with	ADP
alces-146	172	19	higher	high	ADJ
alces-146	172	20	moose	moose	NOUN
alces-146	172	21	density	density	NOUN
alces-146	172	22	as	as	SCONJ
alces-146	172	23	we	we	PRON
alces-146	172	24	gained	gain	VERB
alces-146	172	25	experience	experience	NOUN
alces-146	172	26	in	in	ADP
alces-146	172	27	survey	survey	NOUN
alces-146	172	28	techniques	technique	NOUN
alces-146	172	29	and	and	CCONJ
alces-146	172	30	increased	increase	VERB
alces-146	172	31	our	our	PRON
alces-146	172	32	qualitative	qualitative	ADJ
alces-146	172	33	understanding	understanding	NOUN
alces-146	172	34	of	of	ADP
alces-146	172	35	moose	moose	NOUN
alces-146	172	36	distribution	distribution	NOUN
alces-146	172	37	.	.	PUNCT
alces-146	173	1	we	we	PRON
alces-146	173	2	find	find	VERB
alces-146	173	3	such	such	DET
alces-146	173	4	a	a	DET
alces-146	173	5	bias	bias	NOUN
alces-146	173	6	unlikely	unlikely	ADJ
alces-146	173	7	because	because	SCONJ
alces-146	173	8	,	,	PUNCT
alces-146	173	9	except	except	SCONJ
alces-146	173	10	for	for	ADP
alces-146	173	11	the	the	DET
alces-146	173	12	∼1/3	∼1/3	NOUN
alces-146	173	13	of	of	ADP
alces-146	173	14	blocks	block	NOUN
alces-146	173	15	categorized	categorize	VERB
alces-146	173	16	as	as	ADP
alces-146	173	17	“	"	PUNCT
alces-146	173	18	high	high	ADJ
alces-146	173	19	density	density	NOUN
alces-146	173	20	”	"	PUNCT
alces-146	173	21	(	(	PUNCT
alces-146	173	22	always	always	ADV
alces-146	173	23	surveyed	survey	VERB
alces-146	173	24	)	)	PUNCT
alces-146	173	25	,	,	PUNCT
alces-146	173	26	medium	medium	ADJ
alces-146	173	27	and	and	CCONJ
alces-146	173	28	low	low	ADJ
alces-146	173	29	density	density	NOUN
alces-146	173	30	blocks	block	NOUN
alces-146	173	31	were	be	AUX
alces-146	173	32	selected	select	VERB
alces-146	173	33	on	on	ADP
alces-146	173	34	the	the	DET
alces-146	173	35	basis	basis	NOUN
alces-146	173	36	of	of	ADP
alces-146	173	37	a	a	DET
alces-146	173	38	random	random	ADJ
alces-146	173	39	algorithm	algorithm	NOUN
alces-146	173	40	.	.	PUNCT
alces-146	174	1	secondly	secondly	ADV
alces-146	174	2	,	,	PUNCT
alces-146	174	3	we	we	PRON
alces-146	174	4	might	might	AUX
alces-146	174	5	imagine	imagine	VERB
alces-146	174	6	that	that	DET
alces-146	174	7	observer	observer	NOUN
alces-146	174	8	expertise	expertise	NOUN
alces-146	174	9	increased	increase	VERB
alces-146	174	10	with	with	ADP
alces-146	174	11	time	time	NOUN
alces-146	174	12	,	,	PUNCT
alces-146	174	13	such	such	ADJ
alces-146	174	14	that	that	DET
alces-146	174	15	moose	moose	NOUN
alces-146	174	16	detection	detection	NOUN
alces-146	174	17	increased	increase	VERB
alces-146	174	18	independently	independently	ADV
alces-146	174	19	of	of	ADP
alces-146	174	20	environmental	environmental	ADJ
alces-146	174	21	covariates	covariate	NOUN
alces-146	174	22	;	;	PUNCT
alces-146	174	23	if	if	SCONJ
alces-146	174	24	so	so	ADV
alces-146	174	25	,	,	PUNCT
alces-146	174	26	our	our	PRON
alces-146	174	27	estimate	estimate	NOUN
alces-146	174	28	of	of	ADP
alces-146	174	29	population	population	NOUN
alces-146	174	30	trend	trend	NOUN
alces-146	174	31	would	would	AUX
alces-146	174	32	be	be	AUX
alces-146	174	33	biased	bias	VERB
alces-146	174	34	high	high	ADJ
alces-146	174	35	.	.	PUNCT
alces-146	175	1	lacking	lack	VERB
alces-146	175	2	marked	mark	VERB
alces-146	175	3	animals	animal	NOUN
alces-146	175	4	and/or	and/or	CCONJ
alces-146	175	5	double	double	ADJ
alces-146	175	6	-	-	PUNCT
alces-146	175	7	observer	observer	NOUN
alces-146	175	8	“	"	PUNCT
alces-146	175	9	markrecapture	markrecapture	ADJ
alces-146	175	10	”	"	PUNCT
alces-146	175	11	data	datum	NOUN
alces-146	175	12	,	,	PUNCT
alces-146	175	13	an	an	DET
alces-146	175	14	assessment	assessment	NOUN
alces-146	175	15	of	of	ADP
alces-146	175	16	this	this	DET
alces-146	175	17	source	source	NOUN
alces-146	175	18	of	of	ADP
alces-146	175	19	bias	bias	NOUN
alces-146	175	20	was	be	AUX
alces-146	175	21	not	not	PART
alces-146	175	22	possible	possible	ADJ
alces-146	175	23	.	.	PUNCT
alces-146	176	1	thirdly	thirdly	ADV
alces-146	176	2	,	,	PUNCT
alces-146	176	3	we	we	PRON
alces-146	176	4	can	can	AUX
alces-146	176	5	not	not	PART
alces-146	176	6	rule	rule	VERB
alces-146	176	7	out	out	ADP
alces-146	176	8	the	the	DET
alces-146	176	9	possibility	possibility	NOUN
alces-146	176	10	that	that	SCONJ
alces-146	176	11	unknown	unknown	ADJ
alces-146	176	12	covariates	covariate	NOUN
alces-146	176	13	affected	affect	VERB
alces-146	176	14	detection	detection	NOUN
alces-146	176	15	probability	probability	NOUN
alces-146	176	16	.	.	PUNCT
alces-146	177	1	if	if	SCONJ
alces-146	177	2	so	so	ADV
alces-146	177	3	,	,	PUNCT
alces-146	177	4	and	and	CCONJ
alces-146	177	5	if	if	SCONJ
alces-146	177	6	these	these	PRON
alces-146	177	7	exhibit	exhibit	VERB
alces-146	177	8	a	a	DET
alces-146	177	9	trend	trend	NOUN
alces-146	177	10	with	with	ADP
alces-146	177	11	time	time	NOUN
alces-146	177	12	,	,	PUNCT
alces-146	177	13	the	the	DET
alces-146	177	14	resultant	resultant	NOUN
alces-146	177	15	trend	trend	NOUN
alces-146	177	16	estimate	estimate	NOUN
alces-146	177	17	could	could	AUX
alces-146	177	18	be	be	AUX
alces-146	177	19	biased	bias	VERB
alces-146	177	20	.	.	PUNCT
alces-146	178	1	we	we	PRON
alces-146	178	2	quantified	quantify	VERB
alces-146	178	3	,	,	PUNCT
alces-146	178	4	but	but	CCONJ
alces-146	178	5	did	do	AUX
alces-146	178	6	not	not	PART
alces-146	178	7	include	include	VERB
alces-146	178	8	in	in	ADP
alces-146	178	9	regression	regression	NOUN
alces-146	178	10	models	model	NOUN
alces-146	178	11	,	,	PUNCT
alces-146	178	12	the	the	DET
alces-146	178	13	group	group	NOUN
alces-146	178	14	size	size	NOUN
alces-146	178	15	of	of	ADP
alces-146	178	16	observed	observed	ADJ
alces-146	178	17	moose	moose	NOUN
alces-146	178	18	.	.	PUNCT
alces-146	179	1	although	although	SCONJ
alces-146	179	2	often	often	ADV
alces-146	179	3	an	an	DET
alces-146	179	4	important	important	ADJ
alces-146	179	5	predictor	predictor	NOUN
alces-146	179	6	of	of	ADP
alces-146	179	7	elk	elk	PROPN
alces-146	179	8	sightability	sightability	NOUN
alces-146	179	9	,	,	PUNCT
alces-146	179	10	group	group	NOUN
alces-146	179	11	size	size	NOUN
alces-146	179	12	in	in	ADP
alces-146	179	13	moose	moose	NOUN
alces-146	179	14	rarely	rarely	ADV
alces-146	179	15	exceeds	exceed	VERB
alces-146	179	16	3	3	NUM
alces-146	179	17	(	(	PUNCT
alces-146	179	18	usually	usually	ADV
alces-146	179	19	1	1	NUM
alces-146	179	20	or	or	CCONJ
alces-146	179	21	2	2	NUM
alces-146	179	22	)	)	PUNCT
alces-146	179	23	and	and	CCONJ
alces-146	179	24	has	have	AUX
alces-146	179	25	never	never	ADV
alces-146	179	26	been	be	AUX
alces-146	179	27	identified	identify	VERB
alces-146	179	28	as	as	ADP
alces-146	179	29	an	an	DET
alces-146	179	30	important	important	ADJ
alces-146	179	31	predictor	predictor	NOUN
alces-146	179	32	of	of	ADP
alces-146	179	33	detection	detection	NOUN
alces-146	179	34	.	.	PUNCT
alces-146	180	1	we	we	PRON
alces-146	180	2	are	be	AUX
alces-146	180	3	hardly	hardly	ADV
alces-146	180	4	plowing	plow	VERB
alces-146	180	5	new	new	ADJ
alces-146	180	6	ground	ground	NOUN
alces-146	180	7	by	by	ADP
alces-146	180	8	reiterating	reiterate	VERB
alces-146	180	9	that	that	SCONJ
alces-146	180	10	models	model	NOUN
alces-146	180	11	are	be	AUX
alces-146	180	12	only	only	ADV
alces-146	180	13	as	as	ADV
alces-146	180	14	useful	useful	ADJ
alces-146	180	15	as	as	ADP
alces-146	180	16	the	the	DET
alces-146	180	17	reliability	reliability	NOUN
alces-146	180	18	with	with	ADP
alces-146	180	19	which	which	PRON
alces-146	180	20	their	their	PRON
alces-146	180	21	assumptions	assumption	NOUN
alces-146	180	22	align	align	VERB
alces-146	180	23	with	with	ADP
alces-146	180	24	intended	intended	ADJ
alces-146	180	25	use	use	NOUN
alces-146	180	26	.	.	PUNCT
alces-146	181	1	we	we	PRON
alces-146	181	2	provide	provide	VERB
alces-146	181	3	no	no	DET
alces-146	181	4	basis	basis	NOUN
alces-146	181	5	for	for	ADP
alces-146	181	6	doubting	doubt	VERB
alces-146	181	7	the	the	DET
alces-146	181	8	usefulness	usefulness	NOUN
alces-146	181	9	and	and	CCONJ
alces-146	181	10	accuracy	accuracy	NOUN
alces-146	181	11	of	of	ADP
alces-146	181	12	sightability	sightability	NOUN
alces-146	181	13	models	model	NOUN
alces-146	181	14	as	as	ADP
alces-146	181	15	a	a	DET
alces-146	181	16	whole	whole	NOUN
alces-146	181	17	,	,	PUNCT
alces-146	181	18	but	but	CCONJ
alces-146	181	19	interpret	interpret	VERB
alces-146	181	20	our	our	PRON
alces-146	181	21	exercise	exercise	NOUN
alces-146	181	22	as	as	ADP
alces-146	181	23	a	a	DET
alces-146	181	24	sensitivity	sensitivity	NOUN
alces-146	181	25	analysis	analysis	NOUN
alces-146	181	26	applied	apply	VERB
alces-146	181	27	to	to	ADP
alces-146	181	28	a	a	DET
alces-146	181	29	similar	similar	ADJ
alces-146	181	30	(	(	PUNCT
alces-146	181	31	not	not	PART
alces-146	181	32	identical	identical	ADJ
alces-146	181	33	)	)	PUNCT
alces-146	181	34	situation	situation	NOUN
alces-146	181	35	in	in	ADP
alces-146	181	36	which	which	PRON
alces-146	181	37	these	these	DET
alces-146	181	38	models	model	NOUN
alces-146	181	39	were	be	AUX
alces-146	181	40	developed	develop	VERB
alces-146	181	41	.	.	PUNCT
alces-146	182	1	in	in	ADP
alces-146	182	2	this	this	DET
alces-146	182	3	context	context	NOUN
alces-146	182	4	,	,	PUNCT
alces-146	182	5	we	we	PRON
alces-146	182	6	find	find	VERB
alces-146	182	7	the	the	DET
alces-146	182	8	divergence	divergence	NOUN
alces-146	182	9	in	in	ADP
alces-146	182	10	estimates	estimate	NOUN
alces-146	182	11	compelling	compelling	ADJ
alces-146	182	12	evidence	evidence	NOUN
alces-146	182	13	that	that	SCONJ
alces-146	182	14	extrapolation	extrapolation	NOUN
alces-146	182	15	beyond	beyond	ADP
alces-146	182	16	their	their	PRON
alces-146	182	17	intended	intend	VERB
alces-146	182	18	use	use	NOUN
alces-146	182	19	or	or	CCONJ
alces-146	182	20	without	without	ADP
alces-146	182	21	proper	proper	ADJ
alces-146	182	22	and	and	CCONJ
alces-146	182	23	tested	test	VERB
alces-146	182	24	re	re	NOUN
alces-146	182	25	-	-	NOUN
alces-146	182	26	calibration	calibration	NOUN
alces-146	182	27	is	be	AUX
alces-146	182	28	unwarranted	unwarranted	ADJ
alces-146	182	29	.	.	PUNCT
alces-146	183	1	that	that	PRON
alces-146	183	2	said	say	VERB
alces-146	183	3	,	,	PUNCT
alces-146	183	4	the	the	DET
alces-146	183	5	time	time	NOUN
alces-146	183	6	and	and	CCONJ
alces-146	183	7	effort	effort	NOUN
alces-146	183	8	to	to	PART
alces-146	183	9	collect	collect	VERB
alces-146	183	10	ancillary	ancillary	ADJ
alces-146	183	11	data	datum	NOUN
alces-146	183	12	likely	likely	ADJ
alces-146	183	13	to	to	PART
alces-146	183	14	be	be	AUX
alces-146	183	15	relevant	relevant	ADJ
alces-146	183	16	to	to	ADP
alces-146	183	17	detection	detection	NOUN
alces-146	183	18	probability	probability	NOUN
alces-146	183	19	may	may	AUX
alces-146	183	20	be	be	AUX
alces-146	183	21	worthwhile	worthwhile	ADJ
alces-146	183	22	.	.	PUNCT
alces-146	184	1	in	in	ADP
alces-146	184	2	our	our	PRON
alces-146	184	3	case	case	NOUN
alces-146	184	4	,	,	PUNCT
alces-146	184	5	we	we	PRON
alces-146	184	6	used	use	VERB
alces-146	184	7	ancillary	ancillary	ADJ
alces-146	184	8	data	datum	NOUN
alces-146	184	9	in	in	ADP
alces-146	184	10	a	a	DET
alces-146	184	11	regression	regression	NOUN
alces-146	184	12	environment	environment	NOUN
alces-146	184	13	to	to	PART
alces-146	184	14	provide	provide	VERB
alces-146	184	15	additional	additional	ADJ
alces-146	184	16	assurance	assurance	NOUN
alces-146	184	17	that	that	SCONJ
alces-146	184	18	population	population	NOUN
alces-146	184	19	trends	trend	NOUN
alces-146	184	20	suggested	suggest	VERB
alces-146	184	21	by	by	ADP
alces-146	184	22	raw	raw	ADJ
alces-146	184	23	index	index	NOUN
alces-146	184	24	counts	count	NOUN
alces-146	184	25	were	be	AUX
alces-146	184	26	unlikely	unlikely	ADJ
alces-146	184	27	to	to	PART
alces-146	184	28	have	have	AUX
alces-146	184	29	been	be	AUX
alces-146	184	30	solely	solely	ADV
alces-146	184	31	alces	alce	NOUN
alces-146	184	32	vol	vol	NOUN
alces-146	184	33	.	.	PROPN
alces-146	185	1	51	51	NUM
alces-146	185	2	,	,	PUNCT
alces-146	185	3	2015	2015	NUM
alces-146	185	4	harris	harris	X
alces-146	185	5	et	et	PROPN
alces-146	185	6	al	al	PROPN
alces-146	185	7	.	.	PROPN
alces-146	185	8	–	–	PUNCT
alces-146	185	9	estimating	estimate	VERB
alces-146	185	10	moose	moose	NOUN
alces-146	185	11	abundance	abundance	NOUN
alces-146	185	12	67	67	NUM
alces-146	185	13	artifacts	artifact	NOUN
alces-146	185	14	of	of	ADP
alces-146	185	15	varying	vary	VERB
alces-146	185	16	environmental	environmental	ADJ
alces-146	185	17	or	or	CCONJ
alces-146	185	18	sampling	sample	VERB
alces-146	185	19	conditions	condition	NOUN
alces-146	185	20	.	.	PUNCT
alces-146	186	1	in	in	ADP
alces-146	186	2	so	so	ADV
alces-146	186	3	doing	do	VERB
alces-146	186	4	,	,	PUNCT
alces-146	186	5	we	we	PRON
alces-146	186	6	clarified	clarify	VERB
alces-146	186	7	that	that	SCONJ
alces-146	186	8	even	even	ADV
alces-146	186	9	with	with	ADP
alces-146	186	10	11	11	NUM
alces-146	186	11	years	year	NOUN
alces-146	186	12	of	of	ADP
alces-146	186	13	data	datum	NOUN
alces-146	186	14	and	and	CCONJ
alces-146	186	15	ancillary	ancillary	ADJ
alces-146	186	16	data	datum	NOUN
alces-146	186	17	related	relate	VERB
alces-146	186	18	to	to	ADP
alces-146	186	19	sightability	sightability	NOUN
alces-146	186	20	,	,	PUNCT
alces-146	186	21	aerial	aerial	ADJ
alces-146	186	22	surveys	survey	NOUN
alces-146	186	23	if	if	SCONJ
alces-146	186	24	interpreted	interpret	VERB
alces-146	186	25	in	in	ADP
alces-146	186	26	isolation	isolation	NOUN
alces-146	186	27	,	,	PUNCT
alces-146	186	28	were	be	AUX
alces-146	186	29	not	not	PART
alces-146	186	30	capable	capable	ADJ
alces-146	186	31	of	of	ADP
alces-146	186	32	removing	remove	VERB
alces-146	186	33	uncertainty	uncertainty	NOUN
alces-146	186	34	about	about	ADP
alces-146	186	35	the	the	DET
alces-146	186	36	actual	actual	ADJ
alces-146	186	37	population	population	NOUN
alces-146	186	38	trend	trend	NOUN
alces-146	186	39	during	during	ADP
alces-146	186	40	the	the	DET
alces-146	186	41	decade	decade	NOUN
alces-146	186	42	-	-	PUNCT
alces-146	186	43	long	long	ADJ
alces-146	186	44	study	study	NOUN
alces-146	186	45	period	period	NOUN
alces-146	186	46	.	.	PUNCT
alces-146	187	1	acknowledgements	acknowledgement	NOUN
alces-146	187	2	we	we	PRON
alces-146	187	3	thank	thank	VERB
alces-146	187	4	s.	s.	PROPN
alces-146	187	5	knapp	knapp	PROPN
alces-146	187	6	for	for	ADP
alces-146	187	7	providing	provide	VERB
alces-146	187	8	the	the	DET
alces-146	187	9	necessary	necessary	ADJ
alces-146	187	10	programming	programming	NOUN
alces-146	187	11	for	for	ADP
alces-146	187	12	this	this	DET
alces-146	187	13	analysis	analysis	NOUN
alces-146	187	14	.	.	PUNCT
alces-146	188	1	safe	safe	ADJ
alces-146	188	2	flying	flying	NOUN
alces-146	188	3	was	be	AUX
alces-146	188	4	provided	provide	VERB
alces-146	188	5	by	by	ADP
alces-146	188	6	inland	inland	ADJ
alces-146	188	7	helicopters	helicopter	NOUN
alces-146	188	8	,	,	PUNCT
alces-146	188	9	spokane	spokane	PROPN
alces-146	188	10	,	,	PUNCT
alces-146	188	11	washington	washington	PROPN
alces-146	188	12	;	;	PUNCT
alces-146	188	13	in	in	ADP
alces-146	188	14	particular	particular	ADJ
alces-146	188	15	we	we	PRON
alces-146	188	16	thank	thank	VERB
alces-146	188	17	pilots	pilot	NOUN
alces-146	188	18	d.	d.	PROPN
alces-146	188	19	valenti	valenti	PROPN
alces-146	188	20	and	and	CCONJ
alces-146	188	21	j.	j.	PROPN
alces-146	188	22	snyder	snyder	PROPN
alces-146	188	23	.	.	PUNCT
alces-146	189	1	funding	funding	NOUN
alces-146	189	2	for	for	ADP
alces-146	189	3	this	this	DET
alces-146	189	4	work	work	NOUN
alces-146	189	5	was	be	AUX
alces-146	189	6	provided	provide	VERB
alces-146	189	7	by	by	ADP
alces-146	189	8	proceeds	proceed	NOUN
alces-146	189	9	of	of	ADP
alces-146	189	10	auction	auction	NOUN
alces-146	189	11	and	and	CCONJ
alces-146	189	12	raffle	raffle	NOUN
alces-146	189	13	hunts	hunt	NOUN
alces-146	189	14	administered	administer	VERB
alces-146	189	15	by	by	ADP
alces-146	189	16	wdfw	wdfw	NOUN
alces-146	189	17	and	and	CCONJ
alces-146	189	18	by	by	ADP
alces-146	189	19	the	the	DET
alces-146	189	20	inland	inland	ADJ
alces-146	189	21	northwest	northwest	PROPN
alces-146	189	22	wildlife	wildlife	PROPN
alces-146	189	23	council	council	PROPN
alces-146	189	24	.	.	PUNCT
alces-146	190	1	administrative	administrative	ADJ
alces-146	190	2	support	support	NOUN
alces-146	190	3	was	be	AUX
alces-146	190	4	provided	provide	VERB
alces-146	190	5	by	by	ADP
alces-146	190	6	the	the	DET
alces-146	190	7	state	state	NOUN
alces-146	190	8	of	of	ADP
alces-146	190	9	washington	washington	PROPN
alces-146	190	10	and	and	CCONJ
alces-146	190	11	pittman	pittman	NOUN
alces-146	190	12	-	-	PUNCT
alces-146	190	13	robertson	robertson	PROPN
alces-146	190	14	funds	fund	NOUN
alces-146	190	15	.	.	PUNCT
alces-146	191	1	j.	j.	PROPN
alces-146	191	2	fieberg	fieberg	PROPN
alces-146	191	3	,	,	PUNCT
alces-146	191	4	c.	c.	PROPN
alces-146	191	5	anderson	anderson	PROPN
alces-146	191	6	,	,	PUNCT
alces-146	191	7	and	and	CCONJ
alces-146	191	8	j.	j.	PROPN
alces-146	191	9	quayle	quayle	PROPN
alces-146	191	10	provided	provide	VERB
alces-146	191	11	additional	additional	ADJ
alces-146	191	12	information	information	NOUN
alces-146	191	13	and	and	CCONJ
alces-146	191	14	insight	insight	NOUN
alces-146	191	15	into	into	ADP
alces-146	191	16	their	their	PRON
alces-146	191	17	sightability	sightability	NOUN
alces-146	191	18	models	model	NOUN
alces-146	191	19	.	.	PUNCT
alces-146	192	1	we	we	PRON
alces-146	192	2	thank	thank	VERB
alces-146	192	3	d.	d.	PROPN
alces-146	192	4	base	base	PROPN
alces-146	192	5	and	and	CCONJ
alces-146	192	6	s.	s.	PROPN
alces-146	192	7	hansen	hansen	PROPN
alces-146	192	8	for	for	ADP
alces-146	192	9	suggestions	suggestion	NOUN
alces-146	192	10	and	and	CCONJ
alces-146	192	11	improvements	improvement	NOUN
alces-146	192	12	to	to	ADP
alces-146	192	13	the	the	DET
alces-146	192	14	manuscript	manuscript	NOUN
alces-146	192	15	.	.	PUNCT
alces-146	193	1	literature	literature	PROPN
alces-146	193	2	cited	cite	VERB
alces-146	193	3	ackerman	ackerman	PROPN
alces-146	193	4	,	,	PUNCT
alces-146	193	5	b.	b.	PROPN
alces-146	193	6	r.	r.	PROPN
alces-146	193	7	1988	1988	NUM
alces-146	193	8	.	.	PUNCT
alces-146	194	1	visibility	visibility	NOUN
alces-146	194	2	bias	bias	NOUN
alces-146	194	3	of	of	ADP
alces-146	194	4	mule	mule	ADJ
alces-146	194	5	deer	deer	NOUN
alces-146	194	6	aerial	aerial	ADJ
alces-146	194	7	census	census	NOUN
alces-146	194	8	procedures	procedure	NOUN
alces-146	194	9	in	in	ADP
alces-146	194	10	southeast	southeast	PROPN
alces-146	194	11	idaho	idaho	PROPN
alces-146	194	12	.	.	PUNCT
alces-146	195	1	ph.d	ph.d	PROPN
alces-146	195	2	.	.	PUNCT
alces-146	196	1	dissertation	dissertation	NOUN
alces-146	196	2	,	,	PUNCT
alces-146	196	3	university	university	NOUN
alces-146	196	4	of	of	ADP
alces-146	196	5	idaho	idaho	PROPN
alces-146	196	6	,	,	PUNCT
alces-146	196	7	moscow	moscow	PROPN
alces-146	196	8	,	,	PUNCT
alces-146	196	9	usa	usa	PROPN
alces-146	196	10	.	.	PROPN
alces-146	196	11	anderson	anderson	PROPN
alces-146	196	12	,	,	PUNCT
alces-146	196	13	c.	c.	PROPN
alces-146	196	14	r.	r.	PROPN
alces-146	196	15	,	,	PUNCT
alces-146	196	16	and	and	CCONJ
alces-146	196	17	f.	f.	PROPN
alces-146	196	18	g.	g.	PROPN
alces-146	196	19	lindzey	lindzey	PROPN
alces-146	196	20	.	.	PUNCT
alces-146	197	1	1996	1996	NUM
alces-146	197	2	.	.	PUNCT
alces-146	198	1	moose	moose	PROPN
alces-146	198	2	sightability	sightability	PROPN
alces-146	198	3	model	model	NOUN
alces-146	198	4	developed	develop	VERB
alces-146	198	5	for	for	ADP
alces-146	198	6	helicopter	helicopter	NOUN
alces-146	198	7	surveys	survey	NOUN
alces-146	198	8	.	.	PUNCT
alces-146	199	1	wildlife	wildlife	NOUN
alces-146	199	2	society	society	NOUN
alces-146	199	3	bulletin	bulletin	NOUN
alces-146	199	4	24	24	NUM
alces-146	199	5	:	:	PUNCT
alces-146	199	6	247–259	247–259	NUM
alces-146	199	7	.	.	PUNCT
alces-146	199	8	base	base	NOUN
alces-146	199	9	,	,	PUNCT
alces-146	199	10	d.	d.	PROPN
alces-146	199	11	l.	l.	PROPN
alces-146	199	12	,	,	PUNCT
alces-146	199	13	s.	s.	PROPN
alces-146	199	14	zender	zender	PROPN
alces-146	199	15	,	,	PUNCT
alces-146	199	16	and	and	CCONJ
alces-146	199	17	d.	d.	PROPN
alces-146	199	18	martorello	martorello	PROPN
alces-146	199	19	.	.	PUNCT
alces-146	200	1	2006	2006	NUM
alces-146	200	2	.	.	PUNCT
alces-146	201	1	history	history	NOUN
alces-146	201	2	,	,	PUNCT
alces-146	201	3	status	status	NOUN
alces-146	201	4	and	and	CCONJ
alces-146	201	5	hunter	hunter	NOUN
alces-146	201	6	harvest	harvest	NOUN
alces-146	201	7	of	of	ADP
alces-146	201	8	moose	moose	NOUN
alces-146	201	9	in	in	ADP
alces-146	201	10	washington	washington	PROPN
alces-146	201	11	state	state	PROPN
alces-146	201	12	.	.	PUNCT
alces-146	202	1	alces	alce	VERB
alces-146	202	2	42	42	NUM
alces-146	202	3	:	:	PUNCT
alces-146	203	1	111–114	111–114	NUM
alces-146	203	2	.	.	PUNCT
alces-146	203	3	bontaites	bontaite	NOUN
alces-146	203	4	,	,	PUNCT
alces-146	203	5	k.	k.	PROPN
alces-146	203	6	m.	m.	PROPN
alces-146	203	7	,	,	PUNCT
alces-146	203	8	k.	k.	PROPN
alces-146	203	9	a.	a.	PROPN
alces-146	203	10	gustafson	gustafson	PROPN
alces-146	203	11	,	,	PUNCT
alces-146	203	12	and	and	CCONJ
alces-146	203	13	r.	r.	PROPN
alces-146	203	14	makin	makin	PROPN
alces-146	203	15	.	.	PUNCT
alces-146	204	1	2000	2000	NUM
alces-146	204	2	.	.	PUNCT
alces-146	205	1	a	a	DET
alces-146	205	2	gasaway	gasaway	NOUN
alces-146	205	3	-	-	PUNCT
alces-146	205	4	type	type	NOUN
alces-146	205	5	moose	moose	NOUN
alces-146	205	6	survey	survey	NOUN
alces-146	205	7	in	in	ADP
alces-146	205	8	new	new	PROPN
alces-146	205	9	hampshire	hampshire	PROPN
alces-146	205	10	using	use	VERB
alces-146	205	11	infrared	infrared	ADJ
alces-146	205	12	thermal	thermal	ADJ
alces-146	205	13	imagery	imagery	NOUN
alces-146	205	14	:	:	PUNCT
alces-146	205	15	preliminary	preliminary	ADJ
alces-146	205	16	results	result	NOUN
alces-146	205	17	.	.	PUNCT
alces-146	206	1	alces	alce	NOUN
alces-146	206	2	36	36	NUM
alces-146	206	3	:	:	PUNCT
alces-146	206	4	69–75	69–75	NUM
alces-146	206	5	.	.	PUNCT
alces-146	207	1	boyce	boyce	PROPN
alces-146	207	2	,	,	PUNCT
alces-146	207	3	m.	m.	NOUN
alces-146	207	4	s.	s.	PROPN
alces-146	207	5	,	,	PUNCT
alces-146	207	6	p.	p.	PROPN
alces-146	207	7	w.	w.	PROPN
alces-146	207	8	j.	j.	PROPN
alces-146	207	9	baxter	baxter	PROPN
alces-146	207	10	,	,	PUNCT
alces-146	207	11	and	and	CCONJ
alces-146	207	12	h.	h.	PROPN
alces-146	207	13	p.	p.	PROPN
alces-146	207	14	possingham	possingham	PROPN
alces-146	207	15	.	.	PUNCT
alces-146	208	1	2012	2012	NUM
alces-146	208	2	.	.	PUNCT
alces-146	209	1	managing	manage	VERB
alces-146	209	2	moose	moose	NOUN
alces-146	209	3	harvest	harvest	NOUN
alces-146	209	4	by	by	ADP
alces-146	209	5	the	the	DET
alces-146	209	6	seat	seat	NOUN
alces-146	209	7	of	of	ADP
alces-146	209	8	your	your	PRON
alces-146	209	9	pants	pant	NOUN
alces-146	209	10	.	.	PUNCT
alces-146	210	1	theoretical	theoretical	ADJ
alces-146	210	2	population	population	NOUN
alces-146	210	3	biology	biology	NOUN
alces-146	210	4	82	82	NUM
alces-146	210	5	:	:	PUNCT
alces-146	210	6	340–347	340–347	NUM
alces-146	210	7	.	.	PUNCT
alces-146	211	1	christ	christ	PROPN
alces-146	211	2	,	,	PUNCT
alces-146	211	3	b.	b.	PROPN
alces-146	211	4	2011	2011	NUM
alces-146	211	5	.	.	PUNCT
alces-146	212	1	sightability	sightability	NOUN
alces-146	212	2	correction	correction	NOUN
alces-146	212	3	for	for	ADP
alces-146	212	4	moose	moose	NOUN
alces-146	212	5	population	population	NOUN
alces-146	212	6	surveys	survey	NOUN
alces-146	212	7	.	.	PUNCT
alces-146	213	1	alaska	alaska	PROPN
alces-146	213	2	department	department	PROPN
alces-146	213	3	of	of	ADP
alces-146	213	4	fish	fish	NOUN
alces-146	213	5	and	and	CCONJ
alces-146	213	6	game	game	NOUN
alces-146	213	7	.	.	PUNCT
alces-146	214	1	final	final	ADJ
alces-146	214	2	wildlife	wildlife	NOUN
alces-146	214	3	research	research	NOUN
alces-146	214	4	report	report	NOUN
alces-146	214	5	.	.	PUNCT
alces-146	215	1	adf&g/	adf&g/	ADJ
alces-146	215	2	dwc	dwc	PROPN
alces-146	215	3	/	/	SYM
alces-146	215	4	wrr	wrr	PROPN
alces-146	215	5	-	-	PUNCT
alces-146	215	6	f-2011	f-2011	PROPN
alces-146	215	7	-	-	PUNCT
alces-146	215	8	1	1	PROPN
alces-146	215	9	.	.	PUNCT
alces-146	216	1	juneau	juneau	PROPN
alces-146	216	2	,	,	PUNCT
alces-146	216	3	alaska	alaska	PROPN
alces-146	216	4	,	,	PUNCT
alces-146	216	5	usa	usa	PROPN
alces-146	216	6	.	.	PROPN
alces-146	216	7	cumberland	cumberland	PROPN
alces-146	216	8	,	,	PUNCT
alces-146	216	9	r.	r.	PROPN
alces-146	216	10	e.	e.	PROPN
alces-146	216	11	2012	2012	NUM
alces-146	216	12	.	.	PUNCT
alces-146	217	1	potvin	potvin	PROPN
alces-146	217	2	doublecount	doublecount	VERB
alces-146	217	3	aerial	aerial	ADJ
alces-146	217	4	surveys	survey	NOUN
alces-146	217	5	in	in	ADP
alces-146	217	6	new	new	PROPN
alces-146	217	7	brunswick	brunswick	PROPN
alces-146	217	8	:	:	PUNCT
alces-146	217	9	are	be	AUX
alces-146	217	10	results	result	NOUN
alces-146	217	11	reliable	reliable	ADJ
alces-146	217	12	for	for	ADP
alces-146	217	13	moose	moose	NOUN
alces-146	217	14	?	?	PUNCT
alces-146	218	1	alces	alce	NOUN
alces-146	218	2	48	48	NUM
alces-146	218	3	:	:	PUNCT
alces-146	218	4	67–77	67–77	NUM
alces-146	218	5	.	.	PUNCT
alces-146	219	1	dalton	dalton	PROPN
alces-146	219	2	,	,	PUNCT
alces-146	219	3	w.	w.	PROPN
alces-146	219	4	j.	j.	PROPN
alces-146	219	5	1990	1990	NUM
alces-146	219	6	.	.	PUNCT
alces-146	220	1	moose	moose	PROPN
alces-146	220	2	density	density	NOUN
alces-146	220	3	estimation	estimation	NOUN
alces-146	220	4	with	with	ADP
alces-146	220	5	line	line	NOUN
alces-146	220	6	transect	transect	NOUN
alces-146	220	7	survey	survey	NOUN
alces-146	220	8	.	.	PUNCT
alces-146	221	1	alces	alce	NOUN
alces-146	221	2	26	26	NUM
alces-146	221	3	:	:	PUNCT
alces-146	221	4	129–141	129–141	NUM
alces-146	221	5	.	.	PUNCT
alces-146	222	1	dennis	dennis	PROPN
alces-146	222	2	,	,	PUNCT
alces-146	222	3	b.	b.	PROPN
alces-146	222	4	,	,	PUNCT
alces-146	222	5	p.	p.	PROPN
alces-146	222	6	l.	l.	PROPN
alces-146	222	7	munholland	munholland	PROPN
alces-146	222	8	,	,	PUNCT
alces-146	222	9	and	and	CCONJ
alces-146	222	10	j.	j.	PROPN
alces-146	222	11	m.	m.	PROPN
alces-146	222	12	scott	scott	PROPN
alces-146	222	13	.	.	PUNCT
alces-146	222	14	1991	1991	NUM
alces-146	222	15	.	.	PUNCT
alces-146	223	1	estimation	estimation	NOUN
alces-146	223	2	of	of	ADP
alces-146	223	3	growth	growth	NOUN
alces-146	223	4	and	and	CCONJ
alces-146	223	5	extinction	extinction	NOUN
alces-146	223	6	parameters	parameter	NOUN
alces-146	223	7	for	for	ADP
alces-146	223	8	endangered	endangered	ADJ
alces-146	223	9	species	specie	NOUN
alces-146	223	10	.	.	PUNCT
alces-146	224	1	ecological	ecological	ADJ
alces-146	224	2	monographs	monograph	NOUN
alces-146	224	3	61	61	NUM
alces-146	224	4	:	:	PUNCT
alces-146	224	5	115–143	115–143	NUM
alces-146	224	6	.	.	PUNCT
alces-146	224	7	drummer	drummer	NOUN
alces-146	224	8	,	,	PUNCT
alces-146	224	9	t.	t.	PROPN
alces-146	224	10	d.	d.	PROPN
alces-146	224	11	,	,	PUNCT
alces-146	224	12	and	and	CCONJ
alces-146	224	13	r.	r.	PROPN
alces-146	224	14	w.	w.	PROPN
alces-146	224	15	aho	aho	PROPN
alces-146	224	16	.	.	PUNCT
alces-146	225	1	1998	1998	NUM
alces-146	225	2	.	.	PUNCT
alces-146	226	1	a	a	DET
alces-146	226	2	sightability	sightability	NOUN
alces-146	226	3	model	model	NOUN
alces-146	226	4	for	for	ADP
alces-146	226	5	moose	moose	NOUN
alces-146	226	6	in	in	ADP
alces-146	226	7	upper	upper	ADJ
alces-146	226	8	michigan	michigan	PROPN
alces-146	226	9	.	.	PUNCT
alces-146	227	1	alces	alce	VERB
alces-146	227	2	34	34	NUM
alces-146	227	3	:	:	PUNCT
alces-146	227	4	15–19	15–19	NUM
alces-146	227	5	.	.	PUNCT
alces-146	228	1	fieberg	fieberg	PROPN
alces-146	228	2	,	,	PUNCT
alces-146	228	3	j.	j.	PROPN
alces-146	228	4	2012	2012	NUM
alces-146	228	5	.	.	PUNCT
alces-146	229	1	estimating	estimate	VERB
alces-146	229	2	population	population	NOUN
alces-146	229	3	abundance	abundance	NOUN
alces-146	229	4	using	use	VERB
alces-146	229	5	sightability	sightability	NOUN
alces-146	229	6	models	model	NOUN
alces-146	229	7	:	:	PUNCT
alces-146	229	8	r	r	NOUN
alces-146	229	9	sightability	sightability	NOUN
alces-146	229	10	model	model	NOUN
alces-146	229	11	package	package	NOUN
alces-146	229	12	.	.	PUNCT
alces-146	230	1	journal	journal	NOUN
alces-146	230	2	of	of	ADP
alces-146	230	3	statistical	statistical	ADJ
alces-146	230	4	software	software	NOUN
alces-146	230	5	51	51	NUM
alces-146	230	6	:	:	PUNCT
alces-146	230	7	1–20	1–20	NUM
alces-146	230	8	,	,	PUNCT
alces-146	230	9	34	34	NUM
alces-146	230	10	:	:	PUNCT
alces-146	230	11	15–19	15–19	NUM
alces-146	230	12	.	.	PUNCT
alces-146	231	1	gasaway	gasaway	PROPN
alces-146	231	2	,	,	PUNCT
alces-146	231	3	w.	w.	PROPN
alces-146	231	4	c.	c.	PROPN
alces-146	231	5	,	,	PUNCT
alces-146	231	6	s.	s.	PROPN
alces-146	231	7	d.	d.	PROPN
alces-146	231	8	dubois	dubois	PROPN
alces-146	231	9	,	,	PUNCT
alces-146	231	10	and	and	CCONJ
alces-146	231	11	s.	s.	PROPN
alces-146	231	12	j.	j.	PROPN
alces-146	231	13	harbo	harbo	PROPN
alces-146	231	14	.	.	PUNCT
alces-146	232	1	1985	1985	NUM
alces-146	232	2	.	.	PUNCT
alces-146	233	1	biases	bias	NOUN
alces-146	233	2	in	in	ADP
alces-146	233	3	aerial	aerial	ADJ
alces-146	233	4	transect	transect	NOUN
alces-146	233	5	surveys	survey	NOUN
alces-146	233	6	for	for	ADP
alces-146	233	7	moose	moose	NOUN
alces-146	233	8	during	during	ADP
alces-146	233	9	may	may	PROPN
alces-146	233	10	and	and	CCONJ
alces-146	233	11	june	june	PROPN
alces-146	233	12	.	.	PUNCT
alces-146	234	1	journal	journal	PROPN
alces-146	234	2	of	of	ADP
alces-146	234	3	wildlife	wildlife	NOUN
alces-146	234	4	management	management	NOUN
alces-146	234	5	49	49	NUM
alces-146	234	6	:	:	PUNCT
alces-146	235	1	777–784	777–784	NUM
alces-146	235	2	.	.	PUNCT
alces-146	235	3	—	—	PUNCT
alces-146	235	4	—	—	PUNCT
alces-146	235	5	—	—	PUNCT
alces-146	235	6	,	,	PUNCT
alces-146	235	7	—	—	PUNCT
alces-146	235	8	—	—	PUNCT
alces-146	235	9	—	—	PUNCT
alces-146	235	10	,	,	PUNCT
alces-146	235	11	d.	d.	PROPN
alces-146	235	12	j.	j.	PROPN
alces-146	235	13	reed	reed	PROPN
alces-146	235	14	,	,	PUNCT
alces-146	235	15	and	and	CCONJ
alces-146	235	16	s.	s.	PROPN
alces-146	235	17	j.	j.	PROPN
alces-146	235	18	harbo	harbo	PROPN
alces-146	235	19	.	.	PUNCT
alces-146	236	1	1986	1986	NUM
alces-146	236	2	.	.	PUNCT
alces-146	237	1	estimating	estimate	VERB
alces-146	237	2	moose	moose	NOUN
alces-146	237	3	population	population	NOUN
alces-146	237	4	parameters	parameter	NOUN
alces-146	237	5	from	from	ADP
alces-146	237	6	aerial	aerial	ADJ
alces-146	237	7	surveys	survey	NOUN
alces-146	237	8	.	.	PUNCT
alces-146	238	1	biological	biological	ADJ
alces-146	238	2	papers	paper	NOUN
alces-146	238	3	of	of	ADP
alces-146	238	4	the	the	DET
alces-146	238	5	university	university	PROPN
alces-146	238	6	of	of	ADP
alces-146	238	7	alaska	alaska	PROPN
alces-146	238	8	22	22	NUM
alces-146	238	9	.	.	PUNCT
alces-146	239	1	gilbert	gilbert	PROPN
alces-146	239	2	,	,	PUNCT
alces-146	239	3	b.	b.	PROPN
alces-146	239	4	a.	a.	PROPN
alces-146	239	5	,	,	PUNCT
alces-146	239	6	and	and	CCONJ
alces-146	239	7	b.	b.	PROPN
alces-146	239	8	j.	j.	PROPN
alces-146	239	9	moeller	moeller	PROPN
alces-146	239	10	.	.	PUNCT
alces-146	239	11	2008	2008	NUM
alces-146	239	12	.	.	PUNCT
alces-146	240	1	modeling	model	VERB
alces-146	240	2	elk	elk	PROPN
alces-146	240	3	sightability	sightability	NOUN
alces-146	240	4	bias	bias	NOUN
alces-146	240	5	of	of	ADP
alces-146	240	6	aerial	aerial	ADJ
alces-146	240	7	surveys	survey	NOUN
alces-146	240	8	during	during	ADP
alces-146	240	9	winter	winter	NOUN
alces-146	240	10	in	in	ADP
alces-146	240	11	the	the	DET
alces-146	240	12	central	central	ADJ
alces-146	240	13	cascades	cascade	NOUN
alces-146	240	14	.	.	PUNCT
alces-146	241	1	northwest	northwest	PROPN
alces-146	241	2	science	science	PROPN
alces-146	241	3	82	82	NUM
alces-146	241	4	:	:	PUNCT
alces-146	242	1	222–228	222–228	NUM
alces-146	242	2	.	.	PUNCT
alces-146	242	3	guidice	guidice	PROPN
alces-146	242	4	,	,	PUNCT
alces-146	242	5	j.	j.	PROPN
alces-146	242	6	h	h	PROPN
alces-146	242	7	,	,	PUNCT
alces-146	242	8	j.	j.	PROPN
alces-146	242	9	r.	r.	PROPN
alces-146	242	10	fieberg	fieberg	PROPN
alces-146	242	11	,	,	PUNCT
alces-146	242	12	and	and	CCONJ
alces-146	242	13	m.	m.	PROPN
alces-146	242	14	r.	r.	PROPN
alces-146	242	15	lenarz	lenarz	PROPN
alces-146	242	16	.	.	PUNCT
alces-146	242	17	2012	2012	NUM
alces-146	242	18	.	.	PUNCT
alces-146	243	1	spending	spending	NOUN
alces-146	243	2	degrees	degree	NOUN
alces-146	243	3	of	of	ADP
alces-146	243	4	freedom	freedom	NOUN
alces-146	243	5	in	in	ADP
alces-146	243	6	a	a	DET
alces-146	243	7	poor	poor	ADJ
alces-146	243	8	economy	economy	NOUN
alces-146	243	9	:	:	PUNCT
alces-146	243	10	a	a	DET
alces-146	243	11	case	case	NOUN
alces-146	243	12	study	study	NOUN
alces-146	243	13	of	of	ADP
alces-146	243	14	building	build	VERB
alces-146	243	15	a	a	DET
alces-146	243	16	sightability	sightability	NOUN
alces-146	243	17	model	model	NOUN
alces-146	243	18	for	for	ADP
alces-146	243	19	moose	moose	NOUN
alces-146	243	20	in	in	ADP
alces-146	243	21	northeastern	northeastern	ADJ
alces-146	243	22	minnesota	minnesota	PROPN
alces-146	243	23	.	.	PUNCT
alces-146	244	1	the	the	DET
alces-146	244	2	journal	journal	NOUN
alces-146	244	3	of	of	ADP
alces-146	244	4	wildlife	wildlife	NOUN
alces-146	244	5	management	management	NOUN
alces-146	244	6	76	76	NUM
alces-146	244	7	:	:	PUNCT
alces-146	244	8	75–87	75–87	NUM
alces-146	244	9	.	.	PUNCT
alces-146	245	1	harris	harris	PROPN
alces-146	245	2	,	,	PUNCT
alces-146	245	3	r.	r.	PROPN
alces-146	245	4	b.	b.	PROPN
alces-146	245	5	,	,	PUNCT
alces-146	245	6	g.	g.	PROPN
alces-146	245	7	c.	c.	PROPN
alces-146	245	8	white	white	PROPN
alces-146	245	9	,	,	PUNCT
alces-146	245	10	c.	c.	PROPN
alces-146	245	11	c.	c.	PROPN
alces-146	245	12	schwartz	schwartz	PROPN
alces-146	245	13	,	,	PUNCT
alces-146	245	14	and	and	CCONJ
alces-146	245	15	m.	m.	NOUN
alces-146	245	16	a.	a.	NOUN
alces-146	245	17	haroldson	haroldson	PROPN
alces-146	245	18	.	.	PUNCT
alces-146	246	1	2007	2007	NUM
alces-146	246	2	.	.	PUNCT
alces-146	247	1	population	population	NOUN
alces-146	247	2	68	68	NUM
alces-146	247	3	estimating	estimate	VERB
alces-146	247	4	moose	moose	NOUN
alces-146	247	5	abundance	abundance	NOUN
alces-146	247	6	–	–	PUNCT
alces-146	247	7	harris	harris	PROPN
alces-146	247	8	et	et	PROPN
alces-146	247	9	al	al	PROPN
alces-146	247	10	.	.	PROPN
alces-146	248	1	alces	alce	NOUN
alces-146	248	2	vol	vol	NOUN
alces-146	248	3	.	.	PROPN
alces-146	249	1	51	51	NUM
alces-146	249	2	,	,	PUNCT
alces-146	249	3	2015	2015	NUM
alces-146	249	4	growth	growth	NOUN
alces-146	249	5	of	of	ADP
alces-146	249	6	yellowstone	yellowstone	PROPN
alces-146	249	7	grizzly	grizzly	NOUN
alces-146	249	8	bears	bear	NOUN
alces-146	249	9	:	:	PUNCT
alces-146	249	10	uncertainty	uncertainty	NOUN
alces-146	249	11	and	and	CCONJ
alces-146	249	12	future	future	ADJ
alces-146	249	13	monitoring	monitoring	NOUN
alces-146	249	14	.	.	PUNCT
alces-146	250	1	ursus	ursus	PROPN
alces-146	250	2	18	18	NUM
alces-146	250	3	:	:	PUNCT
alces-146	250	4	167–177	167–177	NUM
alces-146	250	5	.	.	PUNCT
alces-146	251	1	månsson	månsson	PROPN
alces-146	251	2	,	,	PUNCT
alces-146	251	3	j.	j.	PROPN
alces-146	251	4	,	,	PUNCT
alces-146	251	5	c.	c.	PROPN
alces-146	251	6	e.	e.	PROPN
alces-146	251	7	hauser	hauser	PROPN
alces-146	251	8	,	,	PUNCT
alces-146	251	9	h.	h.	PROPN
alces-146	251	10	andrén	andrén	PROPN
alces-146	251	11	,	,	PUNCT
alces-146	251	12	and	and	CCONJ
alces-146	251	13	h.	h.	PROPN
alces-146	251	14	p.	p.	PROPN
alces-146	251	15	possingham	possingham	PROPN
alces-146	251	16	.	.	PUNCT
alces-146	252	1	2011	2011	NUM
alces-146	252	2	.	.	PUNCT
alces-146	253	1	survey	survey	NOUN
alces-146	253	2	method	method	NOUN
alces-146	253	3	choice	choice	NOUN
alces-146	253	4	for	for	ADP
alces-146	253	5	wildlife	wildlife	NOUN
alces-146	253	6	management	management	NOUN
alces-146	253	7	:	:	PUNCT
alces-146	253	8	the	the	DET
alces-146	253	9	case	case	NOUN
alces-146	253	10	of	of	ADP
alces-146	253	11	moose	moose	NOUN
alces-146	253	12	alces	alce	NOUN
alces-146	253	13	alces	alce	NOUN
alces-146	253	14	in	in	ADP
alces-146	253	15	sweden	sweden	PROPN
alces-146	253	16	.	.	PUNCT
alces-146	254	1	wildlife	wildlife	NOUN
alces-146	254	2	biology	biology	NOUN
alces-146	254	3	17	17	NUM
alces-146	254	4	:	:	PUNCT
alces-146	254	5	176–190	176–190	NUM
alces-146	254	6	.	.	PUNCT
alces-146	254	7	mills	mill	NOUN
alces-146	254	8	,	,	PUNCT
alces-146	254	9	l.	l.	PROPN
alces-146	254	10	s.	s.	PROPN
alces-146	254	11	2007	2007	NUM
alces-146	254	12	.	.	PUNCT
alces-146	255	1	conservation	conservation	NOUN
alces-146	255	2	of	of	ADP
alces-146	255	3	wildlife	wildlife	NOUN
alces-146	255	4	populations	population	NOUN
alces-146	255	5	:	:	PUNCT
alces-146	255	6	demography	demography	NOUN
alces-146	255	7	,	,	PUNCT
alces-146	255	8	genetics	genetic	NOUN
alces-146	255	9	,	,	PUNCT
alces-146	255	10	and	and	CCONJ
alces-146	255	11	management	management	NOUN
alces-146	255	12	.	.	PUNCT
alces-146	256	1	blackwell	blackwell	PROPN
alces-146	256	2	publishing	publishing	PROPN
alces-146	256	3	,	,	PUNCT
alces-146	256	4	malden	malden	PROPN
alces-146	256	5	,	,	PUNCT
alces-146	256	6	massachusetts	massachusetts	PROPN
alces-146	256	7	,	,	PUNCT
alces-146	256	8	usa	usa	PROPN
alces-146	256	9	.	.	PROPN
alces-146	256	10	mccorquodale	mccorquodale	PROPN
alces-146	256	11	,	,	PUNCT
alces-146	256	12	s.	s.	PROPN
alces-146	256	13	m.	m.	PROPN
alces-146	256	14	2001	2001	NUM
alces-146	256	15	.	.	PUNCT
alces-146	257	1	sex	sex	NOUN
alces-146	257	2	-	-	PUNCT
alces-146	257	3	specific	specific	ADJ
alces-146	257	4	bias	bias	NOUN
alces-146	257	5	in	in	ADP
alces-146	257	6	helicopter	helicopter	NOUN
alces-146	257	7	surveys	survey	NOUN
alces-146	257	8	of	of	ADP
alces-146	257	9	elk	elk	NOUN
alces-146	257	10	:	:	PUNCT
alces-146	257	11	sightability	sightability	NOUN
alces-146	257	12	and	and	CCONJ
alces-146	257	13	dispersion	dispersion	NOUN
alces-146	257	14	effects	effect	NOUN
alces-146	257	15	.	.	PUNCT
alces-146	258	1	journal	journal	NOUN
alces-146	258	2	of	of	ADP
alces-146	258	3	wildlife	wildlife	NOUN
alces-146	258	4	management	management	NOUN
alces-146	258	5	65	65	NUM
alces-146	258	6	:	:	PUNCT
alces-146	259	1	216–225	216–225	NUM
alces-146	259	2	.	.	PUNCT
alces-146	260	1	morris	morris	PROPN
alces-146	260	2	,	,	PUNCT
alces-146	260	3	w.f	w.f	PROPN
alces-146	260	4	.	.	PROPN
alces-146	260	5	,	,	PUNCT
alces-146	260	6	and	and	CCONJ
alces-146	260	7	d.	d.	PROPN
alces-146	260	8	f.	f.	PROPN
alces-146	260	9	doak	doak	PROPN
alces-146	260	10	.	.	PUNCT
alces-146	261	1	2002	2002	NUM
alces-146	261	2	.	.	PUNCT
alces-146	262	1	quantitative	quantitative	ADJ
alces-146	262	2	conservation	conservation	NOUN
alces-146	262	3	biology	biology	NOUN
alces-146	262	4	:	:	PUNCT
alces-146	262	5	theory	theory	NOUN
alces-146	262	6	and	and	CCONJ
alces-146	262	7	practice	practice	NOUN
alces-146	262	8	of	of	ADP
alces-146	262	9	population	population	NOUN
alces-146	262	10	viability	viability	NOUN
alces-146	262	11	analysis	analysis	NOUN
alces-146	262	12	.	.	PUNCT
alces-146	263	1	sinauer	sinauer	ADJ
alces-146	263	2	associations	associations	PROPN
alces-146	263	3	,	,	PUNCT
alces-146	263	4	sunderland	sunderland	PROPN
alces-146	263	5	,	,	PUNCT
alces-146	263	6	massachusetts	massachusetts	PROPN
alces-146	263	7	,	,	PUNCT
alces-146	263	8	usa	usa	PROPN
alces-146	263	9	.	.	PROPN
alces-146	263	10	nielson	nielson	PROPN
alces-146	263	11	,	,	PUNCT
alces-146	263	12	r.	r.	PROPN
alces-146	263	13	m.	m.	PROPN
alces-146	263	14	,	,	PUNCT
alces-146	263	15	l.	l.	PROPN
alces-146	263	16	l.	l.	PROPN
alces-146	263	17	mcdonald	mcdonald	PROPN
alces-146	263	18	,	,	PUNCT
alces-146	263	19	and	and	CCONJ
alces-146	263	20	s.	s.	PROPN
alces-146	263	21	d.	d.	PROPN
alces-146	263	22	kovach	kovach	PROPN
alces-146	263	23	.	.	PUNCT
alces-146	264	1	2006	2006	NUM
alces-146	264	2	.	.	PUNCT
alces-146	265	1	aerial	aerial	ADJ
alces-146	265	2	line	line	NOUN
alces-146	265	3	transect	transect	NOUN
alces-146	265	4	survey	survey	NOUN
alces-146	265	5	protocols	protocol	NOUN
alces-146	265	6	and	and	CCONJ
alces-146	265	7	data	datum	NOUN
alces-146	265	8	analysis	analysis	NOUN
alces-146	265	9	methods	method	NOUN
alces-146	265	10	to	to	PART
alces-146	265	11	monitor	monitor	VERB
alces-146	265	12	moose	moose	NOUN
alces-146	265	13	(	(	PUNCT
alces-146	265	14	alces	alce	NOUN
alces-146	265	15	alces	alce	NOUN
alces-146	265	16	)	)	PUNCT
alces-146	265	17	abundance	abundance	NOUN
alces-146	265	18	as	as	SCONJ
alces-146	265	19	applied	apply	VERB
alces-146	265	20	on	on	ADP
alces-146	265	21	the	the	DET
alces-146	265	22	innoko	innoko	NOUN
alces-146	265	23	national	national	ADJ
alces-146	265	24	wildlife	wildlife	PROPN
alces-146	265	25	refuge	refuge	PROPN
alces-146	265	26	,	,	PUNCT
alces-146	265	27	alaska	alaska	PROPN
alces-146	265	28	.	.	PUNCT
alces-146	266	1	technical	technical	ADJ
alces-146	266	2	report	report	NOUN
alces-146	266	3	prepared	prepare	VERB
alces-146	266	4	for	for	ADP
alces-146	266	5	us	us	PROPN
alces-146	266	6	fish	fish	NOUN
alces-146	266	7	and	and	CCONJ
alces-146	266	8	wildlife	wildlife	NOUN
alces-146	266	9	service	service	NOUN
alces-146	266	10	,	,	PUNCT
alces-146	266	11	mcgrath	mcgrath	PROPN
alces-146	266	12	,	,	PUNCT
alces-146	266	13	alaska	alaska	PROPN
alces-146	266	14	,	,	PUNCT
alces-146	266	15	usa	usa	PROPN
alces-146	266	16	.	.	PROPN
alces-146	266	17	oehlers	oehler	NOUN
alces-146	266	18	,	,	PUNCT
alces-146	266	19	s.	s.	PROPN
alces-146	266	20	a.	a.	PROPN
alces-146	266	21	,	,	PUNCT
alces-146	266	22	r.	r.	PROPN
alces-146	266	23	t.	t.	PROPN
alces-146	266	24	bowyer	bowyer	PROPN
alces-146	266	25	,	,	PUNCT
alces-146	266	26	f.	f.	PROPN
alces-146	266	27	huettmann	huettmann	PROPN
alces-146	266	28	,	,	PUNCT
alces-146	266	29	d.	d.	PROPN
alces-146	266	30	k.	k.	PROPN
alces-146	266	31	person	person	PROPN
alces-146	266	32	,	,	PUNCT
alces-146	266	33	and	and	CCONJ
alces-146	266	34	w.	w.	PROPN
alces-146	266	35	b.	b.	PROPN
alces-146	266	36	kessler	kessler	PROPN
alces-146	266	37	.	.	PUNCT
alces-146	267	1	2012	2012	NUM
alces-146	267	2	.	.	PUNCT
alces-146	268	1	visibility	visibility	NOUN
alces-146	268	2	of	of	ADP
alces-146	268	3	moose	moose	NOUN
alces-146	268	4	in	in	ADP
alces-146	268	5	a	a	DET
alces-146	268	6	temperate	temperate	ADJ
alces-146	268	7	rainforest	rainforest	NOUN
alces-146	268	8	.	.	PUNCT
alces-146	269	1	alces	alce	NOUN
alces-146	269	2	48	48	NUM
alces-146	269	3	:	:	PUNCT
alces-146	269	4	89–104	89–104	PROPN
alces-146	269	5	.	.	PUNCT
alces-146	270	1	peters	peters	PROPN
alces-146	270	2	,	,	PUNCT
alces-146	270	3	w.	w.	PROPN
alces-146	270	4	e.	e.	PROPN
alces-146	270	5	b.	b.	PROPN
alces-146	270	6	2010	2010	NUM
alces-146	270	7	.	.	PUNCT
alces-146	271	1	resource	resource	NOUN
alces-146	271	2	selection	selection	NOUN
alces-146	271	3	and	and	CCONJ
alces-146	271	4	abundance	abundance	NOUN
alces-146	271	5	estimation	estimation	NOUN
alces-146	271	6	of	of	ADP
alces-146	271	7	moose	moose	NOUN
alces-146	271	8	:	:	PUNCT
alces-146	271	9	implications	implication	NOUN
alces-146	271	10	for	for	ADP
alces-146	271	11	caribou	caribou	NOUN
alces-146	271	12	recovery	recovery	NOUN
alces-146	271	13	in	in	ADP
alces-146	271	14	a	a	DET
alces-146	271	15	human	human	ADJ
alces-146	271	16	altered	altered	ADJ
alces-146	271	17	landscape	landscape	NOUN
alces-146	271	18	.	.	PUNCT
alces-146	272	1	m.s	m.s	PROPN
alces-146	272	2	.	.	PROPN
alces-146	272	3	thesis	thesis	PROPN
alces-146	272	4	,	,	PUNCT
alces-146	272	5	university	university	NOUN
alces-146	272	6	of	of	ADP
alces-146	272	7	montana	montana	PROPN
alces-146	272	8	,	,	PUNCT
alces-146	272	9	missoula	missoula	PROPN
alces-146	272	10	,	,	PUNCT
alces-146	272	11	montana	montana	PROPN
alces-146	272	12	,	,	PUNCT
alces-146	272	13	usa	usa	PROPN
alces-146	272	14	.	.	PROPN
alces-146	272	15	quayle	quayle	PROPN
alces-146	272	16	,	,	PUNCT
alces-146	272	17	j.	j.	PROPN
alces-146	272	18	f.	f.	PROPN
alces-146	272	19	,	,	PUNCT
alces-146	272	20	a.	a.	PROPN
alces-146	272	21	g.	g.	PROPN
alces-146	272	22	machutchon	machutchon	PROPN
alces-146	272	23	,	,	PUNCT
alces-146	272	24	and	and	CCONJ
alces-146	272	25	d.	d.	PROPN
alces-146	272	26	j.	j.	PROPN
alces-146	272	27	jury	jury	PROPN
alces-146	272	28	.	.	PUNCT
alces-146	273	1	2001	2001	NUM
alces-146	273	2	.	.	PUNCT
alces-146	274	1	modeling	model	VERB
alces-146	274	2	moose	moose	NOUN
alces-146	274	3	sightability	sightability	NOUN
alces-146	274	4	in	in	ADP
alces-146	274	5	south	south	ADJ
alces-146	274	6	-	-	PUNCT
alces-146	274	7	central	central	ADJ
alces-146	274	8	british	british	PROPN
alces-146	274	9	columbia	columbia	PROPN
alces-146	274	10	.	.	PUNCT
alces-146	275	1	alces	alce	VERB
alces-146	275	2	37	37	NUM
alces-146	275	3	:	:	PUNCT
alces-146	275	4	43–54	43–54	NUM
alces-146	275	5	.	.	PUNCT
alces-146	276	1	r	r	NOUN
alces-146	276	2	development	development	NOUN
alces-146	276	3	core	core	NOUN
alces-146	276	4	team	team	NOUN
alces-146	276	5	.	.	PUNCT
alces-146	277	1	2011	2011	NUM
alces-146	277	2	.	.	PUNCT
alces-146	278	1	r	r	X
alces-146	278	2	:	:	PUNCT
alces-146	278	3	a	a	DET
alces-146	278	4	language	language	NOUN
alces-146	278	5	and	and	CCONJ
alces-146	278	6	environment	environment	NOUN
alces-146	278	7	for	for	ADP
alces-146	278	8	statistical	statistical	ADJ
alces-146	278	9	computing	computing	NOUN
alces-146	278	10	.	.	PUNCT
alces-146	279	1	r	r	NOUN
alces-146	279	2	foundation	foundation	NOUN
alces-146	279	3	for	for	ADP
alces-146	279	4	statistical	statistical	ADJ
alces-146	279	5	computing	computing	NOUN
alces-146	279	6	,	,	PUNCT
alces-146	279	7	vienna	vienna	PROPN
alces-146	279	8	,	,	PUNCT
alces-146	279	9	austria	austria	PROPN
alces-146	279	10	.	.	PUNCT
alces-146	280	1	version	version	PROPN
alces-146	280	2	2.13.1	2.13.1	NUM
alces-146	280	3	,	,	PUNCT
alces-146	280	4	isbn	isbn	ADJ
alces-146	280	5	3	3	NUM
alces-146	280	6	-	-	SYM
alces-146	280	7	900051	900051	NUM
alces-146	280	8	-	-	PUNCT
alces-146	280	9	07	07	NUM
alces-146	280	10	-	-	PUNCT
alces-146	280	11	0	0	NUM
alces-146	280	12	.	.	PUNCT
alces-146	281	1	http://	http://	PROPN
alces-146	281	2	www.r-project.org/.	www.r-project.org/.	PROPN
alces-146	281	3	rice	rice	NOUN
alces-146	281	4	,	,	PUNCT
alces-146	281	5	c.	c.	PROPN
alces-146	281	6	g.	g.	PROPN
alces-146	281	7	,	,	PUNCT
alces-146	281	8	k.	k.	PROPN
alces-146	281	9	j.	j.	PROPN
alces-146	281	10	jenkins	jenkins	PROPN
alces-146	281	11	,	,	PUNCT
alces-146	281	12	and	and	CCONJ
alces-146	281	13	w.	w.	PROPN
alces-146	281	14	chang	chang	PROPN
alces-146	281	15	.	.	PUNCT
alces-146	281	16	2009	2009	NUM
alces-146	281	17	.	.	PUNCT
alces-146	282	1	a	a	DET
alces-146	282	2	sightability	sightability	NOUN
alces-146	282	3	model	model	NOUN
alces-146	282	4	for	for	ADP
alces-146	282	5	mountain	mountain	NOUN
alces-146	282	6	goats	goat	NOUN
alces-146	282	7	.	.	PUNCT
alces-146	283	1	journal	journal	PROPN
alces-146	283	2	of	of	ADP
alces-146	283	3	wildlife	wildlife	NOUN
alces-146	283	4	management	management	NOUN
alces-146	283	5	73	73	NUM
alces-146	283	6	:	:	PUNCT
alces-146	283	7	468–478	468–478	NUM
alces-146	283	8	.	.	PUNCT
alces-146	284	1	rönnegård	rönnegård	PROPN
alces-146	284	2	,	,	PUNCT
alces-146	284	3	l.	l.	PROPN
alces-146	284	4	,	,	PUNCT
alces-146	284	5	h.	h.	PROPN
alces-146	284	6	sand	sand	NOUN
alces-146	284	7	,	,	PUNCT
alces-146	284	8	h.	h.	PROPN
alces-146	284	9	andrén	andrén	PROPN
alces-146	284	10	,	,	PUNCT
alces-146	284	11	j.	j.	PROPN
alces-146	284	12	månsson	månsson	PROPN
alces-146	284	13	,	,	PUNCT
alces-146	284	14	and	and	CCONJ
alces-146	284	15	å	å	PROPN
alces-146	284	16	.	.	PUNCT
alces-146	284	17	pehrson	pehrson	PROPN
alces-146	284	18	.	.	PUNCT
alces-146	284	19	2008	2008	NUM
alces-146	284	20	.	.	PUNCT
alces-146	285	1	evaluation	evaluation	NOUN
alces-146	285	2	of	of	ADP
alces-146	285	3	four	four	NUM
alces-146	285	4	methods	method	NOUN
alces-146	285	5	used	use	VERB
alces-146	285	6	to	to	PART
alces-146	285	7	estimate	estimate	VERB
alces-146	285	8	population	population	NOUN
alces-146	285	9	density	density	NOUN
alces-146	285	10	of	of	ADP
alces-146	285	11	moose	moose	NOUN
alces-146	285	12	alces	alce	NOUN
alces-146	285	13	alces	alce	NOUN
alces-146	285	14	.	.	PUNCT
alces-146	286	1	wildlife	wildlife	NOUN
alces-146	286	2	biology	biology	NOUN
alces-146	286	3	14	14	NUM
alces-146	286	4	:	:	PUNCT
alces-146	286	5	358–371	358–371	NUM
alces-146	286	6	.	.	PUNCT
alces-146	287	1	samuel	samuel	PROPN
alces-146	287	2	,	,	PUNCT
alces-146	287	3	m.d	m.d	PROPN
alces-146	287	4	.	.	PROPN
alces-146	287	5	,	,	PUNCT
alces-146	287	6	e.o.garton	e.o.garton	PROPN
alces-146	287	7	,	,	PUNCT
alces-146	287	8	m.w	m.w	PROPN
alces-146	287	9	.	.	PROPN
alces-146	287	10	schlegel	schlegel	PROPN
alces-146	287	11	,	,	PUNCT
alces-146	287	12	and	and	CCONJ
alces-146	287	13	r.	r.	PROPN
alces-146	287	14	g.	g.	PROPN
alces-146	287	15	carson	carson	PROPN
alces-146	287	16	.	.	PUNCT
alces-146	287	17	1987	1987	NUM
alces-146	287	18	.	.	PUNCT
alces-146	288	1	visibility	visibility	NOUN
alces-146	288	2	bias	bias	NOUN
alces-146	288	3	during	during	ADP
alces-146	288	4	aerial	aerial	ADJ
alces-146	288	5	surveys	survey	NOUN
alces-146	288	6	of	of	ADP
alces-146	288	7	elk	elk	NOUN
alces-146	288	8	in	in	ADP
alces-146	288	9	northcentral	northcentral	PROPN
alces-146	288	10	idaho	idaho	PROPN
alces-146	288	11	.	.	PUNCT
alces-146	289	1	journal	journal	PROPN
alces-146	289	2	of	of	ADP
alces-146	289	3	wildlife	wildlife	NOUN
alces-146	289	4	management	management	NOUN
alces-146	289	5	51	51	NUM
alces-146	289	6	:	:	PUNCT
alces-146	289	7	622–630	622–630	NUM
alces-146	289	8	.	.	PUNCT
alces-146	290	1	—	—	PUNCT
alces-146	290	2	—	—	PUNCT
alces-146	290	3	—	—	PUNCT
alces-146	290	4	,	,	PUNCT
alces-146	290	5	and	and	CCONJ
alces-146	290	6	k.	k.	PROPN
alces-146	290	7	h.	h.	PROPN
alces-146	290	8	pollock	pollock	PROPN
alces-146	290	9	.	.	PUNCT
alces-146	291	1	1981	1981	NUM
alces-146	291	2	.	.	PUNCT
alces-146	292	1	correction	correction	NOUN
alces-146	292	2	of	of	ADP
alces-146	292	3	visibility	visibility	NOUN
alces-146	292	4	bias	bias	NOUN
alces-146	292	5	in	in	ADP
alces-146	292	6	aerial	aerial	ADJ
alces-146	292	7	surveys	survey	NOUN
alces-146	292	8	where	where	SCONJ
alces-146	292	9	animals	animal	NOUN
alces-146	292	10	occur	occur	VERB
alces-146	292	11	in	in	ADP
alces-146	292	12	groups	group	NOUN
alces-146	292	13	.	.	PUNCT
alces-146	293	1	journal	journal	NOUN
alces-146	293	2	of	of	ADP
alces-146	293	3	wildlife	wildlife	NOUN
alces-146	293	4	management	management	NOUN
alces-146	293	5	45	45	NUM
alces-146	293	6	:	:	PUNCT
alces-146	293	7	993–997	993–997	NUM
alces-146	293	8	.	.	PUNCT
alces-146	294	1	timmerman	timmerman	PROPN
alces-146	294	2	,	,	PUNCT
alces-146	294	3	h.	h.	PROPN
alces-146	294	4	r.	r.	PROPN
alces-146	294	5	1993	1993	NUM
alces-146	294	6	.	.	PUNCT
alces-146	295	1	use	use	NOUN
alces-146	295	2	of	of	ADP
alces-146	295	3	aerial	aerial	ADJ
alces-146	295	4	surveys	survey	NOUN
alces-146	295	5	for	for	ADP
alces-146	295	6	estimating	estimate	VERB
alces-146	295	7	and	and	CCONJ
alces-146	295	8	monitoring	monitor	VERB
alces-146	295	9	moose	moose	NOUN
alces-146	295	10	populations	population	NOUN
alces-146	295	11	–	–	PUNCT
alces-146	295	12	a	a	DET
alces-146	295	13	review	review	NOUN
alces-146	295	14	.	.	PUNCT
alces-146	296	1	alces	alce	NOUN
alces-146	296	2	29	29	NUM
alces-146	296	3	:	:	PUNCT
alces-146	296	4	35–46	35–46	NUM
alces-146	296	5	.	.	PUNCT
alces-146	297	1	washington	washington	PROPN
alces-146	297	2	department	department	PROPN
alces-146	297	3	of	of	ADP
alces-146	297	4	fish	fish	NOUN
alces-146	297	5	and	and	CCONJ
alces-146	297	6	wildlife	wildlife	NOUN
alces-146	297	7	(	(	PUNCT
alces-146	297	8	wdfw	wdfw	NOUN
alces-146	297	9	)	)	PUNCT
alces-146	297	10	.	.	PUNCT
alces-146	298	1	2013	2013	NUM
alces-146	298	2	.	.	PUNCT
alces-146	299	1	2012	2012	NUM
alces-146	299	2	game	game	NOUN
alces-146	299	3	status	status	NOUN
alces-146	299	4	and	and	CCONJ
alces-146	299	5	trend	trend	NOUN
alces-146	299	6	report	report	NOUN
alces-146	299	7	.	.	PUNCT
alces-146	300	1	wildlife	wildlife	NOUN
alces-146	300	2	program	program	NOUN
alces-146	300	3	,	,	PUNCT
alces-146	300	4	washington	washington	PROPN
alces-146	300	5	department	department	PROPN
alces-146	300	6	of	of	ADP
alces-146	300	7	fish	fish	NOUN
alces-146	300	8	and	and	CCONJ
alces-146	300	9	wildlife	wildlife	NOUN
alces-146	300	10	,	,	PUNCT
alces-146	300	11	olympia	olympia	PROPN
alces-146	300	12	,	,	PUNCT
alces-146	300	13	washington	washington	PROPN
alces-146	300	14	,	,	PUNCT
alces-146	300	15	usa	usa	PROPN
alces-146	300	16	.	.	PROPN
alces-146	300	17	alces	alces	PROPN
alces-146	300	18	vol	vol	NOUN
alces-146	300	19	.	.	PROPN
alces-146	301	1	51	51	NUM
alces-146	301	2	,	,	PUNCT
alces-146	301	3	2015	2015	NUM
alces-146	301	4	harris	harris	X
alces-146	301	5	et	et	PROPN
alces-146	301	6	al	al	PROPN
alces-146	301	7	.	.	PROPN
alces-146	301	8	–	–	PUNCT
alces-146	301	9	estimating	estimate	VERB
alces-146	301	10	moose	moose	NOUN
alces-146	301	11	abundance	abundance	NOUN
alces-146	301	12	69	69	NUM
alces-146	301	13	http://www.r-project.org/	http://www.r-project.org/	NOUN
alces-146	301	14	http://www.r-project.org/	http://www.r-project.org/	NOUN
alces-146	301	15	estimating	estimate	VERB
alces-146	301	16	moose	moose	NOUN
alces-146	301	17	abundance	abundance	NOUN
alces-146	301	18	and	and	CCONJ
alces-146	301	19	trends	trend	NOUN
alces-146	301	20	in	in	ADP
alces-146	301	21	northeastern	northeastern	ADJ
alces-146	301	22	washington	washington	PROPN
alces-146	301	23	state	state	PROPN
alces-146	301	24	:	:	PUNCT
alces-146	301	25	index	index	NOUN
alces-146	301	26	counts	count	NOUN
alces-146	301	27	,	,	PUNCT
alces-146	301	28	sightability	sightability	NOUN
alces-146	301	29	models	model	NOUN
alces-146	301	30	,	,	PUNCT
alces-146	301	31	and	and	CCONJ
alces-146	301	32	reducing	reduce	VERB
alces-146	301	33	uncertainty	uncertainty	NOUN
alces-146	301	34	methods	method	NOUN
alces-146	301	35	results	result	VERB
alces-146	301	36	discussion	discussion	NOUN
alces-146	301	37	acknowledgements	acknowledgement	NOUN
alces-146	301	38	literature	literature	NOUN
alces-146	301	39	cited	cite	VERB