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.

在过去的二十年里，高山植物的系统发育地理学研究已经从对遗传数据的临时解释发展到基于统计模型的方法。在这篇综述中，我们概述了高山植物系统发育地理学的发展，重点关注最新的综合分布、人口统计和合并（iDDC）建模方法。通过将分布数据与空间明确的人口统计模型和随后的合并模拟相结合，可以推断出高山物种的历史，并可以有效地推断出长期存在的假设，例如物种对气候变化的特定反应或末次盛冰期努纳塔克群岛的生存通过现有案例研究进行了测试。我们还讨论了 iDDC 的未来前景和改进。