Mechanistic home range models and resource selection analysis: a reconciliation and unification.
Mechanistic home range models and resource selection analysis: a reconciliation and unification.
复制标题
机械家庭范围模型和资源选择分析：协调与统一。
作者：
P. Moorcroft;A. Barnett
资源选择分析（RSA）自引入以来的三十年中，已成为一种广泛使用的方法，用于分析从遥测研究中获得的动物搬迁的空间格局。最近，机械家域模型已被提出作为一个替代框架，研究模式的动物空间使用。与RSA模型相反，机械家域模型来自于对个体运动行为的基本机械描述，并产生对动物空间使用模式的空间明确预测。此外，它们的机械基础意味着，与RSA不同，机械家域模型也可用于预测扰动后空间使用的变化。在本文中，我们开发了一个正式的和解，这两种方法的家域分析，显示如何在个人的栖息地偏好的差异引起空间明确的空间利用模式。由此产生的统一框架结合了简单的资源选择分析与空间明确和预测能力的机械家域模型。
In the three decades since its introduction, resource selection analysis (RSA) has become a widespread method for analyzing spatial patterns of animal relocations obtained from telemetry studies. Recently, mechanistic home range models have been proposed as an alternative framework for studying patterns of animal space-use. In contrast to RSA models, mechanistic home range models are derived from underlying mechanistic descriptions of individual movement behavior and yield spatially explicit predictions for patterns of animal space-use. In addition, their mechanistic underpinning means that, unlike RSA, mechanistic home range models can also be used to predict changes in space-use following perturbation. In this paper, we develop a formal reconciliation between these two methods of home range analysis, showing how differences in the habitat preferences of individuals give rise to spatially explicit patterns of space-use. The resulting unified framework combines the simplicity of resource selection analysis with the spatially explicit and predictive capabilities of mechanistic home range models.