Lineage‐level distribution models lead to more realistic climate change predictions for a threatened crayfish
Lineage‐level distribution models lead to more realistic climate change predictions for a threatened crayfish
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DOI：
10.1111/ddi.13225
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发表时间：
2021-01
影响因子：
4.6
通讯作者：
Zhixin Zhang;Jamie M. Kass;S. Mammola;I. Koizumi;Xuecao Li;Kazunori Tanaka;K. Ikeda;Toru Suzuki;M. Yokota;N. Usio
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文献类型：
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作者：
Zhixin Zhang;Jamie M. Kass;S. Mammola;I. Koizumi;Xuecao Li;Kazunori Tanaka;K. Ikeda;Toru Suzuki;M. Yokota;N. Usio
由于气候变化在未来几十年对生物多样性构成了重大威胁，因此评估其对物种栖息地适宜性的影响至关重要，以便为生物多样性保护提供信息。物种分布模型是评估气候变化对物种地理分布影响的一种广泛使用的工具。正如这些模型的名称所示，物种水平是空间数据模型中最常用的分类单位。然而，最近它已被证明，SDMS考虑分类分辨率低于（或以上）的物种水平，可以更可靠的生物多样性变化的预测时，不同的人口表现出当地的适应。在这里，我们使用日本小龙虾（Cambaroides）测试了这一想法，这是一种受威胁的物种，包括两个地理结构和遗传学上不同的遗传谱系。
As climate change presents a major threat to biodiversity in the next decades, it is critical to assess its impact on species habitat suitability to inform biodiversity conservation. Species distribution models (SDMs) are a widely used tool to assess climate change impacts on species’ geographical distributions. As the name of these models suggests, the species level is the most commonly used taxonomic unit in SDMs. However, recently it has been demonstrated that SDMs considering taxonomic resolution below (or above) the species level can make more reliable predictions of biodiversity change when different populations exhibit local adaptation. Here, we tested this idea using the Japanese crayfish (Cambaroides japonicus), a threatened species encompassing two geographically structured and phylogenetically distinct genetic lineages.