期刊
ENVIRONMETRICS
卷 34, 期 2, 页码 -出版社
WILEY
DOI: 10.1002/env.2761
关键词
abundance; Bayesian; camera trap; data integration; grizzly bear; occupancy
Integrating presence-absence data from camera traps with capture-recapture data from hair traps does not improve the precision of density estimates for grizzly bears.
Abundance estimation is a vital goal in wildlife monitoring. Camera-traps are a tool to survey wildlife populations noninvasively and can be used for abundance estimation if individuals are identifiable. However, for species without individual identification characteristics, camera-trap surveys have often been combined with some other survey method such as capture-recapture (CR, using traditional tags or DNA through hair snags or scat) to inform an integrated model. We discuss and apply two integrated models involving presence-absence data from camera traps and CR data from hair traps to compare bias and precision to estimate the population density of grizzly bears of the central Rocky Mountains of Alberta, Canada. Unlike many other studies, we found that integrating presence-absence data with CR data does not improve the precision of the density estimates. The possible reasons for such results are discussed in detail.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据