Li Rong, Kraft Nathan J B, Yang Jie, Wang Yuhua
Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China.
Department of Biology, University of Maryland, College Park 20742, USA.
Sci Rep. 2015 Mar 30;5:9396. doi: 10.1038/srep09396.
Traditional attempts to delineate floristic regions typically focus on species distributions, often ignoring the rich context that phylogenetic relationships can provide. In this study, we explore how phylogenetic relatedness, taxonomic composition, and regional phylogenetic structure change across a global biodiversity hotspot region, Yunnan, located in southwestern China. We propose a system of floristic regions within Yunnan by combining data on the distributions and phylogenetic relationships of 1,983 genera of native seed plants. We identified eight distinct floristic regions in Yunnan, which were grouped into two larger northern and southern geographical units. Phylogenetic relatedness was well correlated with taxonomic composition between floras in Yunnan. Across the Yunnan region we examined, the central Yunnan region shows the lowest level of spatial turnover in phylogenetic relationships and taxonomic composition of the floristic assemblages. Using null model analyses, we found evidence of nonrandom phylogenetic structure across the region, in which four areas show higher phylogenetic turnover than expected given the underlying taxonomic composition between sites. Our results show that the integration of phylogenetic information can provide valuable insight in floristic assessments, and help us to better understand the structure of a global biodiversity hotspot.
传统上划分植物区系的方法通常侧重于物种分布，往往忽略了系统发育关系所能提供的丰富背景信息。在本研究中，我们探究了系统发育相关性、分类组成以及区域系统发育结构在中国西南部全球生物多样性热点地区云南是如何变化的。我们通过整合1983个本地种子植物属的分布数据和系统发育关系，提出了云南的植物区系系统。我们在云南识别出八个不同的植物区系，它们被归为两个更大的地理单元，即北部和南部。云南植物区系之间的系统发育相关性与分类组成密切相关。在我们研究的云南地区，滇中地区在植物区系组合的系统发育关系和分类组成方面表现出最低水平的空间更替。通过零模型分析，我们发现该地区存在非随机系统发育结构的证据，其中四个区域的系统发育更替高于基于位点间潜在分类组成预期的水平。我们的结果表明，系统发育信息的整合能够为植物区系评估提供有价值的见解，并帮助我们更好地理解全球生物多样性热点地区的结构。
