Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Spatially explicit inference for open populations: estimating demographic parameters from camera-trap studies

Spatially explicit inference for open populations: estimating demographic parameters from... We develop a hierarchical capture––recapture model for demographically open populations when auxiliary spatial information about location of capture is obtained. Such spatial capture––recapture data arise from studies based on camera trapping, DNA sampling, and other situations in which a spatial array of devices records encounters of unique individuals. We integrate an individual-based formulation of a Jolly-Seber type model with recently developed spatially explicit capture––recapture models to estimate density and demographic parameters for survival and recruitment. We adopt a Bayesian framework for inference under this model using the method of data augmentation which is implemented in the software program WinBUGS. The model was motivated by a camera trapping study of Pampas cats Leopardus colocolo from Argentina, which we present as an illustration of the model in this paper. We provide estimates of density and the first quantitative assessment of vital rates for the Pampas cat in the High Andes. The precision of these estimates is poor due likely to the sparse data set. Unlike conventional inference methods which usually rely on asymptotic arguments, Bayesian inferences are valid in arbitrary sample sizes, and thus the method is ideal for the study of rare or endangered species for which small data sets are typical. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ecology Ecological Society of America

Spatially explicit inference for open populations: estimating demographic parameters from camera-trap studies

Loading next page...
 
/lp/ecological-society-of-america/spatially-explicit-inference-for-open-populations-estimating-EH1lfsxXYK

References (33)

Publisher
Ecological Society of America
Copyright
Copyright © 2010 by the Ecological Society of America
Subject
Articles
ISSN
0012-9658
DOI
10.1890/09-0804.1
Publisher site
See Article on Publisher Site

Abstract

We develop a hierarchical capture––recapture model for demographically open populations when auxiliary spatial information about location of capture is obtained. Such spatial capture––recapture data arise from studies based on camera trapping, DNA sampling, and other situations in which a spatial array of devices records encounters of unique individuals. We integrate an individual-based formulation of a Jolly-Seber type model with recently developed spatially explicit capture––recapture models to estimate density and demographic parameters for survival and recruitment. We adopt a Bayesian framework for inference under this model using the method of data augmentation which is implemented in the software program WinBUGS. The model was motivated by a camera trapping study of Pampas cats Leopardus colocolo from Argentina, which we present as an illustration of the model in this paper. We provide estimates of density and the first quantitative assessment of vital rates for the Pampas cat in the High Andes. The precision of these estimates is poor due likely to the sparse data set. Unlike conventional inference methods which usually rely on asymptotic arguments, Bayesian inferences are valid in arbitrary sample sizes, and thus the method is ideal for the study of rare or endangered species for which small data sets are typical.

Journal

EcologyEcological Society of America

Published: Nov 1, 2010

Keywords: Andes Mountains ; Argentina ; Bayesian analysis ; camera trapping ; data augmentation ; hierarchical model ; Jolly-Seber model ; Pampas cats ; spatial capture––recapture ; trapping arrays

There are no references for this article.