modeling temp emigration as capture probability variation

questions concerning analysis/theory using program MARK

modeling temp emigration as capture probability variation

Postby howeer » Tue Apr 17, 2007 2:34 pm

I believe that many researchers use closed models when populations are not geographically closed, and then innappropriately use individual covariates of capture probability for such characteristics as sex and age, when in fact apparent differences in capture probability are due to temporary emigration, i.e. the animals of different sexes/ages may have similar probabilities of capture, but due to differences in home range dynamics/mobility, spend different amounts of time on the sampling grid.
For example, bear populations are often enumerated by hair-snagging and closed population modeling. Densities are then calculated by estimating the area trapped using FEMALE home range data, and dividing the total abundance estimate (both sexes) by that area. :!: Male bears might commonly traverse the entire "area trapped", leaving and reentering it frequently, because they have much larger home ranges.

What are the implications for population size estimates of assuming all animals remain on the sampling grid but have different probabilities of capture, when in fact they have different probabilities of remaining on the grid? Is there any way to detect the difference using closed models and remotely sampled data?
howeer
 
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Postby John Boulanger » Thu Apr 19, 2007 1:23 pm

Hi Eric,

We published a paper in CJZ that shows a technique to explicitly model the effect of closure violation on capture probabilities using a distance from edge covariate in MARK. So you can add this distance from edge covariate for each sex therefore accounting for the effect of closure violation on p's and potentially allowing a more clear picture of sex-specific capture probability variation. However, if a male can traverse the entire sampling area (as in your example) than I would suggest the study area is probably too small to preclude effective mark-recapture analysis using closed models.

Boulanger, J., and B. McLellan. 2001. Closure violation in DNA-based mark-recapture estimation of grizzly bear populations. Canadian Journal of Zoology 79:642-651. :roll:
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