A general framework for the analysis of animal resource selection from telemetry data
A general framework for the analysis of animal resource selection from telemetry data
复制标题
DOI：
10.1111/j.1541-0420.2007.00943.x
复制
发表时间：
2008-09-01
期刊：
影响因子：
1.9
通讯作者：
Christ, Aaron
中科院分区：
文献类型：
--
作者：
Johnson, Devin S.;Thomas, Dana L.;Christ, Aaron
我们提出了一个一般的框架，通过使用加权分布的动物遥测数据的分析。结果表明，资源选择函数的几种解释时，从使用和可用性分布的比率构造。通过提出的一般框架，几个流行的资源选择模型被证明是一般模型的特殊情况下，通过对动物的运动和行为的假设。加权分布框架被证明是很容易扩展到容易占遥测数据是高度自相关的，是典型的使用新技术，如全球定位系统动物搬迁。模拟数据分析，使用几个模型构建在所提出的框架内，以说明灵活的建模框架的可能收益。该模型适用于棕熊数据集从阿拉斯加东南部。
We propose a general framework for the analysis of animal telemetry data through the use of weighted distributions. It is shown that several interpretations of resource selection functions arise when constructed from the ratio of a use and availability distribution. Through the proposed general framework, several popular resource selection models are shown to be special cases of the general model by making assumptions about animal movement and behavior. The weighted distribution framework is shown to be easily extended to readily account for telemetry data that are highly autocorrelated; as is typical with use of new technology such as global positioning systems animal relocations. An analysis of simulated data using several models constructed within the proposed framework is also presented to illustrate the possible gains from the flexible modeling framework. The proposed model is applied to a brown bear data set from southeast Alaska.