Coupling inter-patch movement models and landscape graph to assess functional connectivity
Coupling inter-patch movement models and landscape graph to assess functional connectivity
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DOI：
10.1007/s10144-012-0349-y
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发表时间：
2013-01-01
影响因子：
1.7
通讯作者：
Foltete, Jean-Christophe
中科院分区：
文献类型：
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作者：
Bergerot, Benjamin;Tournant, Pierline;Foltete, Jean-Christophe
景观连通性是零散景观中空间结构种群的功能和持久性的关键过程。蝴蝶对景观变化特别敏感，是研究景观连通性的极佳模式生物。在这里，我们通过对法国Azle-de-France地区高度碎片化的景观中不同景观元素的选择的评估来推断功能连通性。首先，通过个体释放实验，测量了大白蝶(Pieris Brassicae)在不同景观要素中的蝶类喜好。其次，利用基于蝴蝶选择的斑块间移动模型构建了景观要素对运动蝴蝶的选择图。在此基础上，利用基于景观图的方法对甘蓝型油菜的功能连通性网络进行了建模。在我们的研究区域，我们确定了9个相互连接的栖息地斑块的组成部分/组，其中8个位于城市化地区，而最后一个覆盖了更多的农村地区。最终，我们提供了一些元素来验证我们模型的预测，并通过大规模释放-重新捕获蝴蝶的独立实验验证了我们的预测。我们的研究表明(1)基于物种偏好的斑块间运动模型在预测复杂的生态过程(如扩散)方面的有效性，以及(2)斑块间运动模型的结果如何与景观图相结合来评估大空间尺度上的景观功能连通性。
Landscape connectivity is a key process for the functioning and persistence of spatially-structured populations in fragmented landscapes. Butterflies are particularly sensitive to landscape change and are excellent model organisms to study landscape connectivity. Here, we infer functional connectivity from the assessment of the selection of different landscape elements in a highly fragmented landscape in the AZle-de-France region (France). Firstly we measured the butterfly preferences of the Large White butterfly (Pieris brassicae) in different landscape elements using individual release experiments. Secondly, we used an inter-patch movement model based on butterfly choices to build the selection map of the landscape elements to moving butterflies. From this map, functional connectivity network of P. brassicae was modelled using landscape graph-based approach. In our study area, we identified nine components/groups of connected habitat patches, eight of them located in urbanized areas, whereas the last one covered the more rural areas. Eventually, we provided elements to validate the predictions of our model with independent experiments of mass release-recapture of butterflies. Our study shows (1) the efficiency of our inter-patch movement model based on species preferences in predicting complex ecological processes such as dispersal and (2) how inter-patch movement model results coupled to landscape graph can assess landscape functional connectivity at large spatial scales.