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Past and potential future population dynamics of three grouse species using ecological and whole genome coalescent modeling

机译:生态和全基因组合并模型对三种松鸡物种过去和未来的种群动态

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摘要

Studying demographic history of species provides insight into how the past has shaped the current levels of overall biodiversity and genetic composition of species, but also how these species may react to future perturbations. Here we investigated the demographic history of the willow grouse (Lagopus lagopus), rock ptarmigan (Lagopus muta), and black grouse (Tetrao tetrix) through the Late Pleistocene using two complementary methods and whole genome data. Species distribution modeling (SDM) allowed us to estimate the total range size during the Last Interglacial (LIG) and Last Glacial Maximum (LGM) as well as to indicate potential population subdivisions. Pairwise Sequentially Markovian Coalescent (PSMC) allowed us to assess fluctuations in effective population size across the same period. Additionally, we used SDM to forecast the effect of future climate change on the three species over the next 50 years. We found that SDM predicts the largest range size for the cold‐adapted willow grouse and rock ptarmigan during the LGM. PSMC captured intraspecific population dynamics within the last glacial period, such that the willow grouse and rock ptarmigan showed multiple bottlenecks signifying recolonization events following the termination of the LGM. We also see signals of population subdivision during the last glacial period in the black grouse, but more data are needed to strengthen this hypothesis. All three species are likely to experience range contractions under future warming, with the strongest effect on willow grouse and rock ptarmigan due to their limited potential for northward expansion. Overall, by combining these two modeling approaches, we have provided a multifaceted examination of the biogeography of these species and how they have responded to climate change in the past. These results help us understand how cold‐adapted species may respond to future climate changes.
机译:研究物种的人口历史可以洞悉过去如何影响当前物种的总体生物多样性和遗传组成水平,还可以了解这些物种如何对未来的干扰做出反应。在这里,我们使用两种互补方法和整个基因组数据,调查了晚更新世的柳松鸡(Lagopus lagopus),岩雷鸟(Lagopus muta)和黑松鸡(Tetrao tetrix)的人口历史。物种分布模型(SDM)使我们能够估计上一次冰间期(LIG)和最后冰期最大值(LGM)期间的总范围大小,并指出潜在的种群细分。成对的顺序马尔可夫联盟(PSMC)使我们能够评估同期有效人口规模的波动。此外,我们使用SDM预测了未来50年内未来气候变化对这三个物种的影响。我们发现,SDM预测LGM期间冷适应的柳松鸡和雷鸟雷鸟的最大射程范围。 PSMC在最后一个冰期捕获了种内种群动态,因此,柳树松鸡和雷鸟岩石显示出多个瓶颈,表明LGM终止后发生了重新定殖事件。在黑松鸡的最后一个冰川期,我们还看到了人口细分的信号,但是需要更多的数据来加强这一假设。在未来变暖的情况下,这三个物种都可能经历范围收缩,由于它们向北扩张的潜力有限,因此对柳松鸡和雷鸟雷鸟的影响最大。总体而言,通过结合这两种建模方法,我们对这些物种的生物地理学以及它们过去对气候变化的响应方式进行了多方面的研究。这些结果有助于我们了解适应寒冷的物种如何应对未来的气候变化。

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