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A phylogenetic and trait‐based analysis of community assembly in a subtropical forest in central China

Authors :
Jiaxin Zhang
Nathan G. Swenson
Jianming Liu
Mengting Liu
Xiujuan Qiao
Mingxi Jiang
Source :
Ecology and Evolution, Vol 10, Iss 15, Pp 8091-8104 (2020)
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

Abstract Despite several decades of study in community ecology, the relative importance of the ecological processes that determine species co‐occurrence across spatial scales remains uncertain. Some of this uncertainty may be reduced by studying the scale dependency of community assembly in the light of environmental variation. Phylogenetic information and functional trait information are often used to provide potentially valuable insights into the drivers of community assembly. Here, we combined phylogenetic and trait‐based tests to gain insights into community processes at four spatial scales in a large stem‐mapped subtropical forest dynamics plot in central China. We found that all of the six leaf economic traits measured in this study had weak, but significant, phylogenetic signal. Nonrandom phylogenetic and trait‐based patterns associated with topographic variables indicate that deterministic processes tend to dominate community assembly in this plot. Specifically, we found that, on average, co‐occurring species were more phylogenetically and functionally similar than expected throughout the plot at most spatial scales and assemblages of less similar than expected species could only be found on finer spatial scales. In sum, our results suggest that the trait‐based effects on community assembly change with spatial scale in a predictable manner and the association of these patterns with topographic variables, indicates the importance of deterministic processes in community assembly relatively to random processes.

Details

Language :
English
ISSN :
20457758
Volume :
10
Issue :
15
Database :
Directory of Open Access Journals
Journal :
Ecology and Evolution
Publication Type :
Academic Journal
Accession number :
edsdoj.8a0c479334194905b21a00ba30899084
Document Type :
article
Full Text :
https://doi.org/10.1002/ece3.6465