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考虑资源选择函数中的生态动态。

Considering ecological dynamics in resource selection functions.

机构信息

Department of Biology, University of Saskatchewan, 112 Science Place, Saskatoon, SK S7N 5E2, Canada.

出版信息

J Anim Ecol. 2010 Jan;79(1):4-12. doi: 10.1111/j.1365-2656.2009.01613.x. Epub 2009 Sep 1.

DOI:10.1111/j.1365-2656.2009.01613.x
PMID:19732211
Abstract
  1. Describing distribution and abundance is requisite to exploring interactions between organisms and their environment. Recently, the resource selection function (RSF) has emerged to replace many of the statistical procedures used to quantify resource selection by animals. 2. A RSF is defined by characteristics measured on resource units such that its value for a unit is proportional to the probability of that unit being used by an organism. It is solved using a variety of techniques, particularly the binomial generalized linear model. 3. Observing dynamics in a RSF - obtaining substantially different functions at different times or places for the same species - alerts us to the varying ecological processes that underlie resource selection. 4. We believe that there is a need for us to reacquaint ourselves with ecological theory when interpreting RSF models. We outline a suite of factors likely to govern ecologically based variation in a RSF. In particular, we draw attention to competition and density-dependent habitat selection, the role of predation, longitudinal changes in resource availability and functional responses in resource use. 5. How best to incorporate governing factors in a RSF is currently in a state of development; however, we see promise in the inclusion of random as well as fixed effects in resource selection models, and matched case-control logistic regression. 6. Investigating the basis of ecological dynamics in a RSF will allow us to develop more robust models when applied to forecasting the spatial distribution of animals. It may also further our understanding of the relative importance of ecological interactions on the distribution and abundance of species.
摘要
  1. 描述分布和丰度是探索生物与其环境之间相互作用所必需的。最近,资源选择函数(RSF)已经出现,以取代许多用于量化动物资源选择的统计程序。

  2. RSF 由在资源单位上测量的特征定义,使得其对单位的值与该单位被生物体使用的概率成正比。它使用各种技术来解决,特别是二项广义线性模型。

  3. 在 RSF 中观察动态-为同一物种在不同时间或地点获得实质上不同的功能-提醒我们资源选择背后存在不同的生态过程。

  4. 我们认为,在解释 RSF 模型时,我们需要重新熟悉生态理论。我们概述了一系列可能控制 RSF 中基于生态的变化的因素。特别是,我们提请注意竞争和密度依赖性栖息地选择、捕食的作用、资源可用性的纵向变化以及资源利用的功能反应。

  5. 目前,在 RSF 中最好地纳入控制因素的方法仍在发展中;然而,我们看到在资源选择模型中包含随机和固定效应以及匹配病例对照逻辑回归的前景。

  6. 研究 RSF 中的生态动态基础将使我们能够在预测动物的空间分布时开发更稳健的模型。它还可能进一步了解生态相互作用对物种分布和丰度的相对重要性。

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