TY - JOUR
T1 - Spatially Explicit Metrics of Species Diversity, Functional Diversity, and Phylogenetic Diversity
T2 - Insights into Plant Community Assembly Processes
AU - Wiegand, Thorsten
AU - Uriarte, María
AU - Kraft, Nathan J.B.
AU - Shen, Guochun
AU - Wang, Xugao
AU - He, Fangliang
N1 - Publisher Copyright:
Copyright ©2017 by Annual Reviews. All rights reserved.
PY - 2017/11/2
Y1 - 2017/11/2
N2 - 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 processes to community assembly across scale. Future works should integrate these approaches into a dynamic spatiotemporal framework.
AB - 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 processes to community assembly across scale. Future works should integrate these approaches into a dynamic spatiotemporal framework.
KW - Biotic neighborhood
KW - Community assembly
KW - Fully mapped plots
KW - Individual-based neighborhood analysis
KW - Point pattern analysis
KW - Spatial diversity metrics
UR - https://www.scopus.com/pages/publications/85033233448
U2 - 10.1146/annurev-ecolsys-110316-022936
DO - 10.1146/annurev-ecolsys-110316-022936
M3 - 文章
AN - SCOPUS:85033233448
SN - 1543-592X
VL - 48
SP - 329
EP - 351
JO - Annual Review of Ecology, Evolution, and Systematics
JF - Annual Review of Ecology, Evolution, and Systematics
ER -