Broad-scale seasonal climate tracking is a consequence, not a driver, of avian migratory connectivity

Marius Somveille, Christen Bossu, Matthew DeSaix, Kristen Ruegg
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Abstract

Tracking climatic conditions throughout the year is often assumed to be an adaptive behavior underlying seasonal migration patterns in animal populations. In this study, we investigate this hypothesis using genetic markers data to map migratory connectivity for 22 genetically distinct bird populations across 6 species. We found that the variation in seasonal climate tracking at a continental scale is more likely a consequence, rather than an underlying driver, of migratory connectivity, which is itself largely shaped by energy efficiency – i.e. optimizing the balance between accessing available resources and the cost of movement. However, our results also suggest that regional-scale seasonal precipitation tracking affects migration destinations, thus revealing a potential scale-dependency of ecological processes driving migration. Our results have implications for the conservation of migratory species under climate change, as populations that track climate seasonally are potentially at higher risk if they adapt to a narrow range of climatic conditions.
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大规模的季节性气候追踪是鸟类迁徙连通性的结果,而不是驱动因素
全年跟踪气候条件通常被认为是动物种群季节性迁徙模式的适应性行为。在这项研究中,我们利用遗传标记数据来研究这一假设,绘制了6种22个遗传上不同的鸟类种群的迁徙连通性。我们发现,在大陆尺度上,季节性气候跟踪的变化更可能是迁徙连通性的结果,而不是潜在的驱动因素,迁徙连通性本身在很大程度上是由能源效率决定的,即优化获取可用资源和迁徙成本之间的平衡。然而,我们的研究结果也表明,区域尺度的季节性降水跟踪影响迁移目的地,从而揭示了驱动迁移的生态过程的潜在尺度依赖性。我们的研究结果对气候变化下迁徙物种的保护具有启示意义,因为季节性跟踪气候的种群如果适应范围狭窄的气候条件,可能面临更高的风险。
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