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Phylogenetic tests of distribution patterns in South Asia: towards an integrative approach

机译:系统发育测试在南亚的分布模式:走向综合方法

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摘要

The last four decades have seen an increasing integration of phylogenetics and biogeography. However, a dearth of phylogenetic studies has precluded such biogeographic analyses in South Asia until recently. Noting the increase in phylogenetic research and interest in phylogenetic biogeography in the region, we outline an integrative framework for studying taxon distribution patterns. While doing so, we pay particular attention to challenges posed by the complex geological and ecological history of the region, and the differences in distribution across taxonomic groups. We outline and compare three widely used phylogenetic biogeographic approaches: topology-based methods (TBMs), pattern-based methods (PBMs) and event-based methods (EBMs). TBMs lack a quantitative framework and utilize only part of the available phylogenetic information. Hence, they are mainly suited for preliminary enquiries. Both PBMs and EBMs have a quantitative framework, but we consider the latter to be particularly suited to the South Asian context since they consider multiple biogeographic processes explicitly, and can accommodate a reticulated history of areas. As an illustration, we present a biogeographic analysis of endemic Sri Lankan agamid lizards. The results provide insights into the relative importance of multiple processes and specific zones in the radiation of two speciose lizard clades.
机译:在过去的四十年中,系统发育和生物地理学的融合日益紧密。但是,直到最近,由于缺乏系统发育研究,南亚的生物地理学分析才得以排除。注意到该区域内系统发育研究的增长和对该区域系统发育生物地理学的兴趣,我们概述了用于研究分类群分布模式的综合框架。在这样做的同时,我们要特别注意该地区复杂的地质和生态历史以及不同分类群的分布差异带来的挑战。我们概述并比较了三种广泛使用的系统发生生物地理方法:基于拓扑的方法(TBM),基于模式的方法(PBM)和基于事件的方法(EBM)。 TBM缺乏定量框架,仅利用部分可用的系统发育信息。因此,它们主要适合于初步查询。 PBM和EBM都有定量框架,但是我们认为后者特别适合南亚背景,因为它们明确考虑了多种生物地理过程,并且可以适应网状区域的历史。作为说明,我们介绍了一种地方性斯里兰卡agamid蜥蜴的生物地理分析。结果提供了洞察两个特殊蜥蜴进化枝中多个过程和特定区域的相对重要性的见解。

著录项

  • 来源
    《Journal of Biosciences 》 |2006年第1期| p.95-113| 共19页
  • 作者

    Biswas S; Pawar SS;

  • 作者单位

    Deptartment of Biological Sciences, George Washington University, 2023 G St. NW., Washington DC 20052, USA, sayantan@gwu.edu.;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物科学 ;
  • 关键词

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