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Functional beta-diversity patterns reveal deterministic community assembly processes in eastern North American trees.

机译:功能性β多样性模式揭示了北美东部树木的确定性社区组装过程。

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Aim: Determining the relative influence of niche-based and neutral processes in driving the spatial turnover of community composition is a central challenge in community ecology. Spatial patterns of functional turnover, or functional beta diversity, may capture important signals of niche-based assembly processes, but these patterns have not been quantified for communities across broad geographic and environmental gradients. Here, we analyse continental-scale patterns of species and functional beta diversity in relation to space and the environment to assess the relative importance of niche-based and neutral community assembly mechanisms. Location: Eastern North America. Methods: We use a continental-scale forest plot dataset and functional trait data to quantify spatial patterns of species and functional beta diversity. We use redundancy analysis-based variance partitioning to evaluate the influence of space, soil and climate on beta-diversity metrics. We use a null model approach to test for non-random functional beta diversity given the observed patterns of species turnover across spatial scales. Results: Species and functional beta diversity increased with increasing geographic distance (i.e. distance decay of community similarity). Results of variance partitioning analysis show that species and functional beta diversity were spatially structured and significantly related to environmental, particularly climatic, variation. Results of null model analysis show that functional beta diversity was lower than expected based on species turnover at fine scales (<600 km) and higher than expected at broad scales (>1800 km). Main conclusions: The observed patterns of functional beta diversity support a niche-based model of community assembly, driven by the deterministic filtering of species across environmental gradients based on their functional traits.Digital Object Identifier http://dx.doi.org/10.1111/geb.12030
机译:目的:确定基于生态位的过程和中性过程在驱动社区组成的空间周转中的相对影响是社区生态学的主要挑战。功能更新或功能beta多样性的空间模式可能会捕获基于利基市场的组装过程的重要信号,但尚未针对跨越广泛的地理和环境梯度的社区量化这些模式。在这里,我们分析了与空间和环境有关的物种和功能性β多样性的大陆尺度模式,以评估基于利基和中性社区组装机制的相对重要性。地点:北美东部。方法:我们使用大陆规模的森林地块数据集和功能性状数据来量化物种的空间格局和功能性β多样性。我们使用基于冗余分析的方差分区来评估空间,土壤和气候对β多样性指标的影响。鉴于在空间尺度上观察到的物种周转模式,我们使用空模型方法来测试非随机功能的β多样性。结果:物种和功能性β多样性随着地理距离的增加(即社区相似性的距离衰减)而增加。方差划分分析的结果表明,物种和功能性β多样性在空间上是结构化的,并且与环境(尤其是气候)变化显着相关。无效模型分析的结果表明,功能性β多样性在细规模(<600 km)时低于基于物种更新的预期,而在广泛尺度(> 1800 km)时则高于预期。主要结论:观察到的功能性β多样性模式支持基于生态位的社区聚集模型,该模式由基于功能性特征的跨环境梯度的确定性物种筛选驱动。数字对象标识符http://dx.doi.org/10.1111 /geb.12030

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