Novel statistical methods for integrating genetic and stable isotope data to infer individual-level migratory connectivity.
Novel statistical methods for integrating genetic and stable isotope data to infer individual-level migratory connectivity.
复制标题
用于整合遗传和稳定同位素数据以推断个体水平迁移连通性的新颖统计方法。
DOI：
10.1111/mec.12393
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发表时间：
2013
影响因子：
4.9
通讯作者：
Novembre,John
中科院分区：
文献类型：
--
作者：
Rundel,ColinW;Wunder,MichaelB;Alvarado,AllisonH;Ruegg,KristenC;Harrigan,Ryan;Schuh,Andrew;Kelly,JeffreyF;Siegel,RodneyB;DeSante,DavidF;Smith,ThomasB;Novembre,John
由于后勤方面的挑战，确定动物生态中迁徙连通性模式的方法历来受到限制。近年来，利用遗传和稳定同位素标记来确定候鸟的繁殖地，研究候鸟连通性取得了进展。在这里，我们提出了一种新的贝叶斯方法来联合利用遗传和同位素标记，并在两种候鸟雀形目上测试了它的实用性。我们的方法代表了从繁殖地收集的样本中获得的遗传和同位素数据的原则模型组合，并且能够达到超过单独使用任何一种方法的分配精度水平。当大规模应用时，该方法可以揭示特定的迁移连通性模式。在威尔逊林莺（Wilsonia pusilla）中，我们发现了一个在巴哈过冬的鸟类亚群，它们独特地优先从太平洋西北部沿海迁徙。我们的方法以一种易于扩展的方式实现，以适应其他信息来源（例如双等位基因标记，物种分布模型等）或适应其他物种或分配问题。
Methods for determining patterns of migratory connectivity in animal ecology have historically been limited due to logistical challenges. Recent progress in studying migratory bird connectivity has been made using genetic and stable‐isotope markers to assign migratory individuals to their breeding grounds. Here, we present a novel Bayesian approach to jointly leverage genetic and isotopic markers and we test its utility on two migratory passerine bird species. Our approach represents a principled model‐based combination of genetic and isotope data from samples collected on the breeding grounds and is able to achieve levels of assignment accuracy that exceed those of either method alone. When applied at large scale the method can reveal specific migratory connectivity patterns. In Wilson's warblers (Wilsonia pusilla), we detect a subgroup of birds wintering in Baja that uniquely migrate preferentially from the coastal Pacific Northwest. Our approach is implemented in a way that is easily extended to accommodate additional sources of information (e.g. bi‐allelic markers, species distribution models, etc.) or adapted to other species or assignment problems.