青藏高原湿地植物多样性的大尺度地理格局及环境和人为驱动因素。

IF 2.3 Q2 ECOLOGY BMC ecology and evolution Pub Date : 2024-06-03 DOI:10.1186/s12862-024-02263-w
Yigang Li, Fan Liu, Yadong Zhou, Xing Liu, Qingfeng Wang
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引用次数: 0

摘要

背景:青藏高原植物多样性的地理格局已被广泛研究,但很少有研究关注湿地植物。本研究通过对分类学、系统发育和功能指数的综合分析,量化了青藏高原湿地植物多样性的地理格局:方法:基于大量的植物志、专著、标本和野外调查数据,我们构建了一个包含 1,958 种QTP 湿地植物的综合数据集。利用物种丰富度(SR)、系统发育多样性(PD)、功能多样性(FD)、净亲缘关系指数(NRI)和净功能亲缘关系指数(NFRI)来评估湿地植物的分类、系统发育和功能多样性。我们探讨了多样性指数与四类环境变量(即水能、气候季节性、地形和人类活动)之间的关系。我们使用了四种多样性指数,即特有物种丰富度、加权特有性、系统发育特有性和功能特有性,并结合新特有性和古特有性分类分析(CANAPE),确定了QTP湿地植物的特有中心:结果:SR、PD 和 FD 高度一致,并呈现出从东南向西北递减的趋势,且随着海拔的升高而递减。高原大部分地区湿地植物群落的系统发育结构以聚类为主。高原东南部湿地植物群落的功能结构为过度分散型,其他地区湿地植物群落的功能结构为群集型。能量-水和气候季节性是影响湿地植物多样性最重要的两类变量。与系统发育结构相比,环境变量对湿地植物功能结构的影响更大。本研究发现了七个特有中心,主要分布在喜马拉雅山脉和横断山脉:结论:气候和地形是决定大尺度湿地植物多样性地理分布的主要因素。QTP中具有显著系统发育特有性的网格单元大多为混合特有性和超级特有性。在大尺度上,与气候和地形相比,人类活动可能不会对QTP的湿地植物多样性产生负面影响。
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Large-scale geographic patterns and environmental and anthropogenic drivers of wetland plant diversity in the Qinghai-Tibet Plateau.

Background: The geographic patterns of plant diversity in the Qinghai-Tibet Plateau (QTP) have been widely studied, but few studies have focused on wetland plants. This study quantified the geographic patterns of wetland plant diversity in the QTP through a comprehensive analysis of taxonomic, phylogenetic and functional indices.

Methods: Based on a large number of floras, monographs, specimens and field survey data, we constructed a comprehensive dataset of 1,958 wetland plant species in the QTP. Species richness (SR), phylogenetic diversity (PD), functional diversity (FD), net relatedness index (NRI) and net functional relatedness index (NFRI) were used to assess the taxonomic, phylogenetic and functional diversity of wetland plants. We explored the relationships between the diversity indices and four categories of environmental variables (i.e. energy-water, climate seasonality, topography and human activities). We used four diversity indices, namely endemic species richness, weighted endemism, phylogenetic endemism and functional endemism, together with the categorical analysis of neo- and paleo-endemism (CANAPE), to identify the endemic centers of wetland plants in the QTP.

Results: SR, PD and FD were highly consistent and showed a decreasing trend from southeast to northwest, decreasing with increasing elevation. The phylogenetic structure of wetland plant assemblages in most parts of the plateau is mainly clustered. The functional structure of wetland plant assemblages in the southeast of the plateau is overdispersed, while the functional structure of wetland plant assemblages in other areas is clustered. Energy-water and climate seasonality were the two most important categories of variables affecting wetland plant diversity. Environmental variables had a greater effect on the functional structure of wetland plants than on the phylogenetic structure. This study identified seven endemic centres, mainly in the Himalayas and Hengduan Mountains.

Conclusions: Climate and topography are the main factors determining the geographic distribution of wetland plant diversity at large scales. The majority of grid cells in the QTP with significant phylogenetic endemism were mixed and super-endemism. At large scales, compared to climate and topography, human activities may not have a negative impact on wetland plant diversity in the QTP.

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