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系统植物区系学的当前进展与未来展望

Current progress and future prospects in phylofloristics.

作者信息

Li Rong, Qian Lishen, Sun Hang

机构信息

Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China.

University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Plant Divers. 2018 Jul 17;40(4):141-146. doi: 10.1016/j.pld.2018.07.003. eCollection 2018 Aug.

DOI:10.1016/j.pld.2018.07.003
PMID:30740558
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6137264/
Abstract

The species composition of regional plant assemblages can in large part be explained by a long history of biogeographical and evolutionary events. Traditional attempts of floristic studies typically focus on the analyses of taxonomic composition, often ignoring the rich context that evolutionary history can provide. In 2014, Swenson and Umaña introduced the term 'phylofloristics' to define a phylogenetically enabled analysis of the species composition of regional floras. Integrating phylogenetic information into traditional floristic analysis can provide a promising way to explore the ecological, biogeographic, and evolutionary processes that drive plant assemblies at multiple spatial scales. In this review, we summarize the current progress on the phylogenetic structure, spatial phylogenetic pattern, origin and diversification, phylogenetic regionalization of floristic assemblages, and application of phylogenetic information in biodiversity conservation. These summaries highlight the importance of incorporating phylogenetic information to improve our understanding of floristic assembly from an evolutionary perspective. The review ends with a brief outlook on future challenges for phylofloristic studies, including generating a highly resolved species-level phylogenetic tree, compiling detailed and refined information regarding the geographic distribution of all plant life, extracting trait information from publications and herbarium specimens, and developing technological and methodological approaches for big data analysis.

摘要

区域植物群落的物种组成在很大程度上可以由生物地理和进化事件的悠久历史来解释。传统的植物区系研究通常侧重于分类组成的分析,往往忽略了进化历史所能提供的丰富背景。2014年,斯文森和乌马尼亚引入了“系统植物区系学”一词,以定义对区域植物区系物种组成进行系统发育分析的方法。将系统发育信息整合到传统的植物区系分析中,可以为探索在多个空间尺度上驱动植物群落的生态、生物地理和进化过程提供一种很有前景的方法。在这篇综述中,我们总结了植物群落的系统发育结构、空间系统发育模式、起源与多样化、植物区系组合的系统发育区划以及系统发育信息在生物多样性保护中的应用等方面的当前进展。这些总结突出了纳入系统发育信息以从进化角度增进我们对植物区系组合理解的重要性。综述最后简要展望了系统植物区系学研究未来面临的挑战,包括生成一个高度解析的物种水平系统发育树、汇编有关所有植物地理分布的详细和精确信息、从出版物和标本馆标本中提取性状信息,以及开发用于大数据分析的技术和方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c90b/6137264/32f251e0eee7/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c90b/6137264/e3ee1ecd3900/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c90b/6137264/32f251e0eee7/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c90b/6137264/e3ee1ecd3900/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c90b/6137264/32f251e0eee7/gr2.jpg

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