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一种用于识别动物家域大小的时空和个体水平决定因素的综合方法。

An integrated approach to identify spatiotemporal and individual-level determinants of animal home range size.

作者信息

Börger Luca, Franconi Novella, Ferretti Francesco, Meschi Fiora, De Michele Giampiero, Gantz Alberto, Coulson Tim

机构信息

Division of Biology and Centre for Population Biology, Faculty of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, Berkshire SL5 7PY, United Kingdom.

出版信息

Am Nat. 2006 Oct;168(4):471-85. doi: 10.1086/507883. Epub 2006 Aug 29.

Abstract

Animal home range use is a central focus of ecological research. However, how and why home range size varies between individuals is not well studied or understood for most species. We develop a hierarchical analytical approach--using generalized linear mixed-effects modeling of time series of home range sizes--that allows variance in home range size to be decomposed into components due to variation in temporal, spatial, and individual-level processes, also facilitating intra- and interspecific comparative analyses. We applied the approach to data from a roe deer population radiotracked in central Italy. Over multiple timescales, temporal variation is explained by photoperiod and climate and spatial variation by the distribution of habitat types and spatial variance in radiotracking error. Differences between individuals explained a substantial amount of variance in home range size, but only a relatively minor part was explained by the individual attributes of sex and age. We conclude that the choice of temporal scale at which data are collected and the definition of home range can significantly influence biological inference. We suggest that the appropriate choice of scale and definition requires a good understanding of the ecology and life history of the study species. Our findings contrast with several common assumptions about roe deer behavior.

摘要

动物的家园范围利用是生态学研究的核心焦点。然而,对于大多数物种而言,家园范围大小在个体之间如何以及为何存在差异,尚未得到充分研究或理解。我们开发了一种分层分析方法——使用家园范围大小时间序列的广义线性混合效应模型——该方法能够将家园范围大小的方差分解为由于时间、空间和个体水平过程的变化所导致的成分,还便于进行种内和种间的比较分析。我们将该方法应用于意大利中部一个狍种群的无线电跟踪数据。在多个时间尺度上,时间变化由光周期和气候解释,空间变化由栖息地类型的分布和无线电跟踪误差中的空间方差解释。个体之间的差异解释了家园范围大小的大量方差,但只有相对较小的一部分由性别和年龄等个体属性解释。我们得出结论,收集数据的时间尺度选择和家园范围的定义会显著影响生物学推断。我们建议,尺度和定义的恰当选择需要对研究物种的生态学和生活史有充分了解。我们的研究结果与关于狍行为的几个常见假设形成对比。

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