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Spatial diversity in a 'zoom-lens': Analysing ecological communities through weighted spatial scale

机译:“缩放镜头”的空间多样性:通过加权空间尺度分析生态社区

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Traditional summary statistics for biological diversity are rarely able to fully identify processes maintaining the biodiversity of ecosystems. However, these processes produce patterns in space, and spatial statistics offer a way to describe such signals and so identify underlying mechanisms. A new community-level measure of spatial structure, the cross-pair overlap distribution (xPOD), summarises the spatial overlap of species pairs over a scale defined by radius R. Here, we extend this approach by developing a radius-weighted version of the xPOD which provides greater flexibility over spatial resolution. In particular, this allows us to identify behaviour related to different mechanisms, which can then be linked to the spatial scale at which they operate. In its general form, this approach can be applied to any community-level second-order summary statistic which is a function of scale, leading to a considerable increase in informative power.
机译:生物多样性的传统摘要统计很少能够充分确定维持生态系统生物多样性的流程。然而,这些过程在空间中产生模式,并且空间统计提供了描述这种信号的方法,因此识别底层机制。一种新的社区级别的空间结构,跨对重叠分布(XPOD),总结了物种对的空间重叠在由Radius R定义的规模上。在这里,我们通过开发一个半径加权版本来扩展这种方法XPOD在空间分辨率上提供更大的灵活性。特别地,这允许我们识别与不同机制相关的行为,然后可以链接到它们操作的空间尺度。在其一般形式中,这种方法可以应用于任何社区一级的二阶汇总统计,这是一种规模的函数,导致信息量相当增加。

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