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Estimating the abundance of mouse populations of known size: promises and pitfalls of new methods

Ecological Applications

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Abstract

Knowledge of animal abundance is fundamental to many ecological studies. Frequently, researchers cannot determine true abundance, and so must estimate it using a method such as mark-recapture or distance sampling. Recent advances in abundance estimation allow one to model heterogeneity with individual covariates or mixture distributions and to derive multimodel abundance estimators that explicitly address uncertainty about which model parameterization best represents truth. Further, it is possible to borrow information on detection probability across several populations when data are sparse. While promising, these methods have not been evaluated using mark?recapture data from populations of known abundance, and thus far have largely been overlooked by ecologists. In this paper, we explored the utility of newly developed mark?recapture methods for estimating the abundance of 12 captive populations of wild house mice (Mus musculus). We found that mark?recapture methods employing individual covariates yielded satisfactory abundance estimates for most populations. In contrast, model sets with heterogeneity formulations consisting solely of mixture distributions did not perform well for several of the populations. We show through simulation that a higher number of trapping occasions would have been necessary to achieve good estimator performance in this case. Finally, we show that simultaneous analysis of data from low abundance populations can yield viable abundance estimates.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Estimating the abundance of mouse populations of known size: promises and pitfalls of new methods
Series title:
Ecological Applications
Volume
16
Issue:
2
Year Published:
2006
Language:
English
Contributing office(s):
Patuxent Wildlife Research Center
Description:
829-837
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
829
Last page:
837
Number of Pages:
9