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首页> 外文期刊>Ecological Monographs: Official Publication of the Ecological Society of America >Functional trait and phylogenetic tests of community assembly across spatial scales in an Amazonian forest
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Functional trait and phylogenetic tests of community assembly across spatial scales in an Amazonian forest

机译:亚马逊森林中跨空间尺度的社区聚集的功能性状和系统发育测试

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Despite a long history of the study of tropical forests, uncertainty about the importance of different ecological processes in shaping tropical tree species distributions persists. Trait-and phylogenetic-based tests of community assembly provide a powerful way to detect community assembly processes but have seldom been applied to the same community. Both methods are well suited to testing how the relative importance of different ecological processes changes with spatial scale. Here we apply both methods to the Yasuní Forest Dynamics Plot, a 25-ha Amazonian forest with >1100 tree species. We found evidence for habitat filtering from both trait and phylogenetic methods from small (25 m~2) to intermediate (10000 m~2) spatial scales. Trait-based methods detected even spacing of strategies, a pattern consistent with niche partitioning or enemy-mediated density dependence, at smaller spatial scales (25-400 m~2). Simulation modeling of community assembly processes suggests that low statistical power to detect even spacing of traits at larger spatial scales may contribute to the observed patterns. Trait and phylogenetic methods tended to identify the same areas of the forest as being subject to habitat filtering. Phylogenetic community tests, which are far less data-intensive than trait-based methods, captured much of the same filtering patterns detected by trait-based methods but often failed to detect even-spacing patterns apparent in trait data. Taken together, it appears that both habitat associations and niche differentiation shape species co-occurrence patterns in one of the most diverse forests in the world at a range of small and intermediate spatial scales.
机译:尽管对热带森林的研究已有很长的历史,但是对于不同的生态过程在塑造热带树种分布方面的重要性仍存在不确定性。基于特征和系统发育的社区装配测试提供了一种检测社区装配过程的强大方法,但很少将其应用于同一社区。两种方法都非常适合测试不同生态过程的相对重要性如何随空间规模变化。在这里,我们将这两种方法都应用于Yasuní森林动力学图,这是一个25公顷的亚马逊森林,有1100多种树种。我们发现了从性状和系统发育方法从小(25 m〜2)到中等(10000 m〜2)空间尺度的栖息地筛选的证据。基于特质的方法可以在较小的空间范围内(25-400 m〜2)检测到均匀的策略间距,这种模式与小生境划分或敌人介导的密度依赖性一致。社区组装过程的模拟建模表明,在较大的空间尺度上检测均匀间隔特征的低统计能力可能有助于观察到的模式。性状和系统发育方法趋向于识别森林中受栖息地过滤的区域。系统发育社区测试的数据密集度远低于基于特征的方法,它捕获了许多由基于特征的方法检测到的相同过滤模式,但往往无法检测出特征数据中明显的偶数间隔模式。综上所述,似乎栖息地协会和生态位分化都在世界上最多样化的森林之一中,在一系列中小型空间尺度上,塑造了物种共生的模式。

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