利用综合分布、人口统计和联合建模解决高山植物系统地理学问题

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Dennis J. Larsson, Da Pan, Gerald M. Schneeweiss
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引用次数: 5

摘要

在过去的二十年里,高山植物的系统地理学研究从对遗传数据的特殊解释到基于统计模型的方法,已经有了很大的发展。在这篇综述中,我们概述了高山植物系统地理学的发展,重点是最近的综合分布、人口统计学和联合(iDDC)建模方法。通过将分布数据与空间明确的人口统计建模和随后的联合模拟相结合,可以推断出高山物种的历史,并可以有效地检验长期存在的假设,如物种对气候变化的特定反应或上一次冰川盛期努纳塔克人的生存,如可用的案例研究所示。我们还讨论了iDDC的未来前景和改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Addressing alpine plant phylogeography using integrative distributional, demographic and coalescent modeling

Phylogeographic studies of alpine plants have evolved considerably in the last two decades from ad hoc interpretations of genetic data to statistical model-based approaches. In this review we outline the developments in alpine plant phylogeography focusing on the recent approach of integrative distributional, demographic and coalescent (iDDC) modeling. By integrating distributional data with spatially explicit demographic modeling and subsequent coalescent simulations, the history of alpine species can be inferred and long-standing hypotheses, such as species-specific responses to climate change or survival on nunataks during the last glacial maximum, can be efficiently tested as exemplified by available case studies. We also discuss future prospects and improvements of iDDC.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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