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Global patterns and determinants of vascular plant diversity

机译:维管植物多样性的全球格局和决定因素

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Plants, with an estimated 300,000 species, provide crucial primary production and ecosystem structure. To date, our quantitative understanding of diversity gradients of megadiverse clades such as plants has been hampered by the paucity of distribution data. Here, we investigate the global-scale species-richness pattern of vascular plants and examine its environmental and potential historical determinants. Across 1,032 geographic regions worldwide, potential evapotranspiration, the number of wet days per year, and measurements of topographical and habitat heterogeneity emerge as core predictors of species richness. After accounting for environmental effects, the residual differences across the major floristic kingdoms are minor, with the exception of the uniquely diverse Cape Region, highlighting the important role of historical contingencies. Notably, the South African Cape region contains more than twice as many species as expected by the global environmental model, confirming its uniquely evolved flora. A combined multipredictor model explains ≈ 70% of the global variation in species richness and fully accounts for the enigmatic latitudinal gradient in species richness. The models illustrate the geographic interplay of different environmental predictors of species richness. Our findings highlight that different hypotheses about the causes of diversity gradients are not mutually exclusive, but likely act synergistically with water-energy dynamics playing a dominant role. The presented geostatistical approach is likely to prove instrumental for identifying richness patterns of the many other taxa without single-species distribution data that still escape our understanding.
机译:估计有300,000种植物,这些植物提供了至关重要的初级生产和生态系统结构。迄今为止,由于缺乏分布数据,我们对诸如植物之类的大型进化枝的多样性梯度的定量理解受到了阻碍。在这里,我们调查了全球规模的维管植物物种丰富度模式,并研究了其环境和潜在的历史决定因素。在全球1,032个地理区域中,潜在的蒸散量,每年的湿天数以及地形和栖息地异质性的测量成为物种丰富度的核心预测指标。在考虑了环境影响之后,除独特的开普敦地区外,主要植物区系之间的残留差异很小,突出了历史偶然性的重要作用。值得注意的是,南非开普地区的物种比全球环境模型所预期的物种多两倍,这证实了其独特的进化植物区系。组合的多预测器模型解释了物种丰富度中约70%的全球变化,并充分说明了物种丰富度中的神秘纬度梯度。这些模型说明了物种丰富度的不同环境预测因素的地理相互作用。我们的发现突出表明,关于多样性梯度成因的不同假设并非相互排斥,而是可能与水-能源动力学起主导作用。所提出的地统计方法很可能有助于识别许多其他类群的富集模式,而没有单种分布数据仍使我们无法理解。

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