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Comparison of spatial statistics for identifying underlying process in forest ecology

机译:确定森林生态基础过程的空间统计比较

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A number of different mechanisms have been suggested to explain species coexistence in diverse communities such as tropical rainforests. Spatial statistics appear to hold great potential for distinguishing the effects of these in empirical data, and a wide range of measures intended to describe spatial structure have been proposed. Using patterns generated by stochastic individual-based models, we examine the relative sensitivity of several of these measures to processes thought to be occurring in tropical rainforests, and so assess the potential for identifying specific coexistence mechanisms from empirical data. We then apply the measures to spatially explicit census data from a number of large-scale tropical rainforest plots in order to investigate the manifestation of ecological processes in forest spatial structure.
机译:已经提出了许多不同的机制来解释热带雨林等不同社区中物种的共存。空间统计似乎具有巨大的潜力,可用来区分经验数据中的这些影响,并且已经提出了旨在描述空间结构的各种措施。使用基于随机个体的模型生成的模式,我们检查了其中一些措施对热带雨林中可能发生的过程的相对敏感性,因此评估了从经验数据中识别特定共存机制的潜力。然后,我们将这些措施应用于来自多个大型热带雨林地块的空间显式普查数据,以调查森林空间结构中生态过程的表现。

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