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首页> 外文期刊>Oikos: A Journal of Ecology >Does environmental heterogeneity drive functional trait variation? A test in montane and alpine meadows
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Does environmental heterogeneity drive functional trait variation? A test in montane and alpine meadows

机译:环境异质性驱动功能性特性变异吗? 在蒙太烷和高山草甸的测试

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While community-weighted means of plant traits have been linked to mean environmental conditions at large scales, the drivers of trait variation within communities are not well understood. Local environmental heterogeneity ( such as microclimate variability), in addition to mean environmental conditions, may decrease the strength of environmental filtering and explain why communities support different amounts of trait variation. Here, we assess two hypotheses: first, that more heterogeneous local environments and second, that less extreme environments, should support a broader range of plant strategies and thus higher trait variation. We quantified drivers of trait variation across a range of environmental conditions and spatial scales ranging from sub-meter to tens of kilometers in montane and alpine plant communities. We found that, within communities, both environmental heterogeneity and environmental means are drivers of trait variation. However, the importance of each environmental factor varied depending on the trait. Our results indicate that larger-scale trait-climate linkages that hold across communities also apply at small spatial scales, suggesting that microclimate variation within communities is a key driver of community functional diversity. Microclimatic variation provides a potential mechanism for helping to maintain diversity in local communities and also suggests that small-scale environmental heterogeneity should be measured as a better predictor of functional diversity.
机译:虽然植物特征的社区加权手段与大规模的平均环境条件相关联,但社区内的特质变异驱动因素并不充分了解。局部环境异质性(如小气候变异性),除了平均环境条件外,可能降低环境过滤的强度,并解释为什么社区支持不同量的特质变异。在这里,我们评估两个假设:首先,更加异质的本地环境和第二,即极端环境,应支持更广泛的植物策略以及更高的特质变异。我们在一系列环境条件和空间尺度范围内量化了特性变异的驱动因素,包括山米达和高山植物社区的亚米至数十公里。我们发现,在社区内,环境异质性和环境手段都是特质变异的驱动因素。然而,每个环境因子的重要性根据特征而变化。我们的结果表明,跨社区持有的大规模性状气候联系也适用于小空间尺度,这表明社区内的小气候变化是社区功能多样性的关键驱动因素。微凸型变化提供了有助于维持当地社区的多样性的潜在机制,并且还表明,应测量小规模的环境异质性作为功能多样性的更好预测因子。

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