Larsson Dennis J, Pan Da, Schneeweiss Gerald M
Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria.
Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing, China.
Alp Bot. 2022;132(1):5-19. doi: 10.1007/s00035-021-00263-w. Epub 2021 Jul 29.
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.
在过去二十年中，高山植物的系统地理学研究已从对遗传数据的临时解释发展到基于统计模型的方法。在本综述中，我们概述了高山植物系统地理学的发展，重点关注整合分布、种群动态和溯祖（iDDC）建模的最新方法。通过将分布数据与空间明确的种群动态建模以及随后的溯祖模拟相结合，可以推断高山物种的历史，并且可以像现有案例研究那样有效地检验一些长期存在的假设，例如物种对气候变化的特定反应或末次盛冰期在冰原岛上峰的生存情况。我们还讨论了iDDC的未来前景和改进方向。
