Spatial processes underlie major species coexistence mechanisms. A range of spatial analysis techniques are increasingly applied to data of fully mapped communities to quantify spatial structures in species and phylogenetic and functional diversity at some given spatial scale with the goal of gaining insights into processes of community assembly and dynamics. We review these techniques, including spatial point pattern analysis, quadrat-based analyses, and individual-based neighborhood models, and provide a practical roadmap for ecologists in the analysis of local spatial structures in species and phylogenetic and functional diversity. We show how scale-dependent metrics of spatial diversity can be used in concert with ecological null models, statistical models, and dynamic community simulation models to detect spatial patterns, reveal the influence of the biotic neighborhood on plant performance, and quantify the relative contribution of species interactions, habitat heterogeneity, and stochastic processe...

中文翻译：

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物种多样性、功能多样性和系统发育多样性的空间显式度量：深入了解植物群落组装过程

空间过程是主要物种共存机制的基础。一系列空间分析技术越来越多地应用于完全映射群落的数据，以在某些给定的空间尺度上量化物种的空间结构以及系统发育和功能多样性，目的是深入了解群落组装和动态过程。我们回顾了这些技术，包括空间点模式分析、基于样方的分析和基于个体的邻域模型，并为生态学家分析物种的局部空间结构以及系统发育和功能多样性提供了实用的路线图。我们展示了如何将空间多样性的尺度相关度量与生态零模型、统计模型和动态群落模拟模型结合使用，以检测空间模式，