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Royle, J.A., R. B. Chandler, C. C. Sun, and A. K. Fuller. 2013. Integrating resource selection information with spatial capture-recapture. Methods in Ecology and Evolution. doi: 10.1111/2041-210X.12039.

Abstract

1. Understanding space usage and resource selection is a primary focus of many studies of animal populations.
Usually, such studies are based on location data obtained from telemetry, and resource selection functions
(RSFs) are used for inference. Another important focus of wildlife research is estimation and modeling population
size and density. Recently developed spatial capture–recapture (SCR) models accomplish this objective
using individual encounter history data with auxiliary spatial information on location of capture. SCR models
include encounter probability functions that are intuitively related to RSFs, but to date, no one has extended
SCRmodels to allow for explicit inference about space usage and resource selection.
2. In this paper we develop the first statistical framework for jointly modeling space usage, resource selection,
and population density by integrating SCR data, such as from camera traps, mist-nets, or conventional catch
traps, with resource selection data from telemetered individuals. We provide a framework for estimation based
on marginal likelihood, wherein we estimate simultaneously the parameters of the SCRandRSF models.
3. Our method leads to increases in precision for estimating parameters of ordinary SCR models. Importantly,
we also find that SCR models alone can estimate parameters of RSFs and, as such, SCR methods can be used as
the sole source for studying space-usage; however, precision will be higher when telemetry data are available.
4. Finally, we find that SCRmodels using standard symmetric and stationary encounter probabilitymodelsmay
not fully explain variation in encounter probability due to space usage, and therefore produce biased estimates of
density when animal space usage is related to resource selection. Consequently, it is important that space usage
be taken into consideration, if possible, in studies focused on estimating density using capture–recapture
methods.

 

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Published
February 2013

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  1. U.S. Geological Survey