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Predictors of elevational biodiversity gradients change from single taxa to the multi-taxa community level

机译:海拔生物多样性梯度的预测因素从单一分类群变为多分类群群落水平

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摘要

The factors determining gradients of biodiversity are a fundamental yet unresolved topic in ecology. While diversity gradients have been analysed for numerous single taxa, progress towards general explanatory models has been hampered by limitations in the phylogenetic coverage of past studies. By parallel sampling of 25 major plant and animal taxa along a 3.7 km elevational gradient on Mt. Kilimanjaro, we quantify cross-taxon consensus in diversity gradients and evaluate predictors of diversity from single taxa to a multi-taxa community level. While single taxa show complex distribution patterns and respond to different environmental factors, scaling up diversity to the community level leads to an unambiguous support for temperature as the main predictor of species richness in both plants and animals. Our findings illuminate the influence of taxonomic coverage for models of diversity gradients and point to the importance of temperature for diversification and species coexistence in plant and animal communities.
机译:决定生物多样性梯度的因素是生态学中一个基本但尚未解决的话题。尽管已经分析了众多单一类群的多样性梯度,但由于以往研究在系统发育方面的局限性,阻碍了向一般解释模型的发展。通过在3.7千米的海拔高度上对25个主要动植物分类单元进行平行采样。乞力马扎罗山,我们量化多样性梯度中的跨类群共识,并评估从单个分类单元到多分类单元社区级别的多样性预测因子。尽管单个分类单元显示复杂的分布模式并响应不同的环境因素,但将多样性扩大到社区水平却可以明确支持温度,因为温度是动植物物种丰富度的主要预测指标。我们的发现阐明了分类覆盖率对多样性梯度模型的影响,并指出了温度对于动植物群落多样化和物种共存的重要性。

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