Patuxent Wildlife Research Center (PWRC) Migratory Bird Research (MBR) Comments/FAQ(comments)

Program capture

CAPTURE - Computes estimates of capture probability and population size for "closed" population capture-recapture data.

            White, G.C., K.P. Burnham, D.L. Otis, and D.R. Anderson. 1978.
            User's Manual for Program CAPTURE, Utah State Univ. Press,
            Logan, Utah. 

            Rexstad, E., and K.P. Burnham.  1991. User's Guide for Interactive
            Program CAPTURE.  Colorado Cooperative Fish & Wildlife Research
            Unit, Colorado State University, Fort Collins, Colorado.

You can enter an ASCII text file in the box below. The file should look like one of these examples:

example 1

title='Examples for Otis et al., 1978, Wildlife Monograph 62'
task read population null 
5,238,98,'Simulated data under model M(o)'

example 2

title='richness of area-sensitive spp, point HPB18 '
task read captures occasions=3 x matrix
format='(8x,a4,1x,3f1.0)'
read input data
HPB  18 ACFL 100
HPB  18 BAWW 101
HPB  18 EAWP 001
HPB  18 OVEN 011
HPB  18 RBWO 100
HPB  18 REVI 100
HPB  18 RSHA 010
HPB  18 SCTA 101
HPB  18 WBNU 010
HPB  18 WOTH 011
task closure test
task model selection
task population estimate ALL

example 3

task read population null
5,224,87,'data from table 4.1, page 135, Seber (1973) (data:t,n.,M(t+1))'

example 4

task read population  removal 
5,'Ephemeroptera, stream insect. (data:u1,u2,u3,u4,u5)'
181,11,4,5,3

example 5

task read population jackknife
11,'data from table 4.17, pg 173. (data:f1,f2,f3,f4,f5)'
23,14,9,6,8,7,3,0,2

example 6

task read population darroch
5,87,'DATA FROM TABLE 4.1, PAGE 135, SEBER (1973) (data:M(t+1),n1,n2,n3,n4,n5)'
32,54,37,60,41

example 7

task read population zippen
10,'DATA FROM TABLE 4.9, PG 156, SEBER (1973) (data:u1,u2,u3,u4,u5)'
10,10,8,9,7,6,5,4,7,5

model number	model name	alias
1	m0	null
2	mh	jackknife
3	mb	zippen
4	mbh	romoval
5	mt	darroch
6	mth	mth-chao
7	mtb	mtb-burnham
8	mt-chao
9	mh-chao
10	mbh-pollock

Note: Some models do not work with sparse data. If you aren't getting a response, try running each model separately instead of doing ALL models. (eg. task population estimate NULL)

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