Modeling animal movements using stochastic differential equations
Modeling animal movements using stochastic differential equations
复制标题
DOI：
10.1002/env.636
复制
发表时间：
2004-11
期刊：
影响因子：
1.7
通讯作者：
H. Preisler;A. Ager;B. Johnson;J. Kie
中科院分区：
文献类型：
--
作者：
H. Preisler;A. Ager;B. Johnson;J. Kie
我们描述了使用双变量随机微分方程（ESDs）在俄勒冈州东北部的斯塔基实验森林和山脉对216只戴无线电项圈的雌性落基山麋鹿的运动进行建模。空间和时间明确的矢量场估计近似差分方程和非参数回归技术。在一天中的选定时间将估计的运动矢量场绘制到项目区域，以检查与地形相关的运动空间模式。利用势函数的概念，我们能够研究道路和草原觅食区对麋鹿运动的影响。这样做，我们确定了广泛的麋鹿运动的空间格局，并显示在斯塔基的栖息地镶嵌内的栖息地功能的时间依赖性的影响。我们的分析量化的周期在春季和夏季的运动的吸引力或排斥特定的栖息地功能，并说明了这些运动的幅度，时间和方向。一个广泛的参考名单包括在内。出版社：John Wiley & Sons，Ltd.
We describe the use of bivariate stochastic differential equations (SDE) for modeling movements of 216 radio‐collared female Rocky Mountain elk at the Starkey Experimental Forest and Range in northeastern Oregon. Spatially and temporally explicit vector fields were estimated using approximating difference equations and nonparametric regression techniques. Estimated vector fields of movement were mapped onto the project area at selected times of the day to examine spatial patterns of movement in relation to topography. Using the concept of a potential function, we were able to study the influence of roads and grassland foraging areas on elk movements. Doing so we identified broad spatial patterns of elk movements and showed the time dependent effects of habitat features within the habitat mosaic at Starkey. Our analyses quantify the cycles of movements in spring and summer in terms of attraction or repulsion to specific habitat features, and illustrate the magnitude, timing and direction of these movements. An extensive list of references is included. Published in 2004 by John Wiley & Sons, Ltd.