multidimensional beta-diversity across local and regional scales in a Chinese subtropical forest: the role of forest structure

Beta-diversity, or the spatio-temporal variation in community composition, can be partitioned into turnover and nestedness components in a multidimensional framework. Forest structure, including comprehensive characteristics of vertical and horizontal complexity, strongly affects species composition and its spatial variation. However, the effects of forest structure on beta-diversity patterns in multidimensional and multiple-scale contexts are poorly understood. Here, we assessed beta-diversity at local (a 20-ha forest dynamics plot) and regional (a plot network composed of 19 1-ha plots) scales in a Chinese subtropical evergreen broad-leaved forest. We then evaluated the relative importance of forest structure, topography, and spatial structure on beta-diversity and its turnover and nestedness components in taxonomic, functional, and phylogenetic dimensions at local and regional scales. We derived forest structural parameters from both unmanned aerial vehicle light detection and rangin..., , , # Multidimensional beta-diversity across local and regional scales in a Chinese subtropical forest: The role of forest structure

**Includes 4 files in Excel format:**

1. Local_beta_components.xlsx
2. Regional_beta_components.xlsx

**Include total beta diversity and its turnover and nestedness components in taxonomic, functional, and phylogenetic dimensions at local and regional scales.**

1. Local_predictor.xlsx
2. Regional_predictor.xlsx

**Include Forest structure (FS_PC1, FS_PC2), topography (topo_PC1, topo_PC2), spatial structure (x, x2, y, y2, xy) and simulated spatial structure (MEM variables) at local and regional scales.**