Bateman Andrew W, Lewis Mark A, Gall Gabriella, Manser Marta B, Clutton-Brock Tim H
Department of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, UK.
Department of Mathematical and Statistical Sciences, Department of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2G1, Canada.
J Anim Ecol. 2015 Jan;84(1):260-71. doi: 10.1111/1365-2656.12267. Epub 2014 Jul 29.
Multiple approaches exist to model patterns of space use across species, among them resource selection analysis, statistical home-range modelling and mechanistic movement modelling. Mechanistic home-range models combine the benefits of these approaches, describing emergent territorial patterns based on fine-scale individual- or group-movement rules and incorporating interactions with neighbours and the environment. These models have not, to date, been extended to dynamic contexts. Using mechanistic home-range models, we explore meerkat (Suricata suricatta) territorial patterns, considering scent marking, direct group interactions and habitat selection. We also extend the models to accommodate dynamic aspects of meerkat territoriality (territory development and territory shift). We fit models, representing multiple working hypotheses, to data from a long-term meerkat study in South Africa, and we compare models using Akaike's and Bayesian Information Criteria. Our results identify important features of meerkat territorial patterns. Notably, larger groups do not seem to control larger territories, and groups apparently prefer dune edges along a dry river bed. Our model extensions capture instances in which 1) a newly formed group interacts more strongly with its parent groups over time and 2) a group moves its territory core out of aversive habitat. This extends our mechanistic modelling framework in previously unexplored directions.
存在多种方法来模拟物种间的空间利用模式,其中包括资源选择分析、统计家域建模和机制运动建模。机制家域模型结合了这些方法的优点,基于精细尺度的个体或群体运动规则描述出现的领地模式,并纳入与邻居和环境的相互作用。到目前为止,这些模型尚未扩展到动态环境中。我们使用机制家域模型,考虑气味标记、直接群体互动和栖息地选择,来探索狐獴(Suricata suricatta)的领地模式。我们还扩展了模型,以适应狐獴领地性的动态方面(领地发展和领地转移)。我们将代表多个工作假设的模型与来自南非一项长期狐獴研究的数据进行拟合,并使用赤池信息准则和贝叶斯信息准则比较模型。我们的结果确定了狐獴领地模式的重要特征。值得注意的是,较大的群体似乎并不控制更大的领地,而且群体显然更喜欢沿着干涸河床的沙丘边缘。我们的模型扩展捕捉到了以下情况:1)一个新形成的群体随着时间的推移与其亲本群体的互动更强;2)一个群体将其领地核心移出厌恶栖息地。这在以前未探索的方向上扩展了我们的机制建模框架。