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Habitat is more important than climate and animal richness at shaping latitudinal variation in plant diversity in China

机译:栖息地比在中国植物多样性塑造延迟变化的气候和动物丰富性更重要

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摘要

Species data from 249 National Nature Reserves in China were used to identify potential underlying drivers of latitudinal gradients in plant diversity. We used generalized linear models to assess correlations between predictor and plant species richness. Variance partitioning was then used to decompose the variation in plant richness into different taxonomic levels among the three groups of predictors (i.e., climate, habitat and animal). We found that species richness showed significant latitudinal trends in richness ( p ??0.001). This remained true when examining gymnosperms, angiosperms and ferns individually. Climate and habitat variables explained more variation in richness across different plant groups than did animal richness. Annual precipitation was the best climate variable across different taxonomic plants groups, and soil pH and elevation range were the best habitat variables across different taxonomic plant groups. The independent effects of habitat variables were higher than that of climate and animal variables across different taxonomic plant groups. Finally, climate, habitat heterogeneity, and animal richness explain 48.8% of the variation in total species richness, 28.2% in gymnosperm richness, 44.2% in angiosperm richness, and 38.9% in fern richness.
机译:来自中国249个国家自然保护区的物种数据被用来识别植物多样性潜在潜在的潜在潜在驾驶员。我们使用广义的线性模型来评估预测器和植物物种丰富性之间的相关性。然后使用方差分配来分解植物丰富度的变化,进入三组预测因子(即气候,栖息地和动物)中的不同分类水平。我们发现物种丰富性呈显着纬度趋势在富有的巨大趋势(p?& 0.001)。当单独检查裸子植物气候和栖息地变量在不同植物团体中的丰富性变异而不是动物丰富。年降水是不同分类植物群中的最佳气候变量,土壤pH和仰角范围是不同分类植物群中的最佳栖息地变量。栖息地变量的独立效果高于不同分类植物组的气候和动物变量。最后,气候,栖息地异质性和动物丰富度解释了总物种富含物种的48.8%的变异,28.2%在裸子植物丰富,44.2%的富人,蕨类植物的丰富度为38.9%。

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