气候变化领域集成服务门户(CCPortal): Discriminating among forest communities based on taxonomic, phylogenetic and trait distances

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DOI	10.1016/j.foreco.2019.03.006
	Discriminating among forest communities based on taxonomic, phylogenetic and trait distances
	Hao M.; Ganeshaiah K.N.; Zhang C.; Zhao X.; von Gadow K.
发表日期	2019
ISSN	0378-1127
起始页码	40
结束页码	47
卷号	440
英文摘要	Quantifying the compositional differences among communities is central to answering some of the most challenging questions in community ecology. Traditional species-based estimates of community dissimilarity convey little information regarding the biological heterogeneity of species. More refined phylogenetic- and functional-based measures can improve the understanding of ecological mechanisms that drive species composition. However, a generalized framework, which unifies taxonomic, phylogenetic, and functional information of communities is still lackling. We present a new general framework for assessing the biological dissimilarity among communities based on species frequencies and biological (including taxonomic, phylogenetic, and functional) distances between species. We used the observations collected in a 30-hectare forest plot in northeastern China to illustrate the application of the new approach and its ability to discriminate communities along spatial and environmental gradients. The results suggested that both spatial and environmental gradients play significant roles in driving the species composition of forest communities. Compared with spatial gradients, local environmental conditions had a greater influence. Conclusion: The ability to measure differences among communities, based on species frequency and biological distances is useful for estimating effects of habitat heterogeneity, for understanding the mechanism of community assembly, and for assessing disturbance effects or species invasions at local or global scales. The Avalanche approach presented in this study represents an effective framework for comparing different measures of biological dissimilarity in one compatible system. © 2019 Elsevier B.V.
英文关键词	Beta diversity; Community dissimilarity; Discriminating avalanche; Phylogenetic distance; Taxonomic distance; Trait distance
语种	英语
scopus关键词	Ecology; Beta diversities; Community dissimilarities; Phylogenetic distance; Taxonomic distance; Trait distance; Forestry; avalanche; community ecology; environmental conditions; environmental gradient; forest ecosystem; heterogeneity; phylogenetics; species diversity; taxonomy; Application; Assembly; Driving; Ecology; Estimates; Forestry; Frequency; Heterogeneity; China
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156076
作者单位	Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, 100083, China; School of Ecology and Conservation, University of Agricultural Science, Gandhi Krishi Vignan Kendra Campus, Bengaluru, 560065, India; Faculty of Forestry and Forest Ecology, Georg-August-University, Göttingen, D-37077, Germany; Faculty of AgriSciences, Stellenbosch University, Matieland, 7600, South Africa
推荐引用方式 GB/T 7714	Hao M.,Ganeshaiah K.N.,Zhang C.,et al. Discriminating among forest communities based on taxonomic, phylogenetic and trait distances[J],2019,440.
APA	Hao M.,Ganeshaiah K.N.,Zhang C.,Zhao X.,&von Gadow K..(2019).Discriminating among forest communities based on taxonomic, phylogenetic and trait distances.Forest Ecology and Management,440.
MLA	Hao M.,et al."Discriminating among forest communities based on taxonomic, phylogenetic and trait distances".Forest Ecology and Management 440(2019).