Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2019.03.006 |
Discriminating among forest communities based on taxonomic, phylogenetic and trait distances | |
Hao, Minhui1; Ganeshaiah, Kotiganahalli Narayanagowda2; Zhang, Chunyu1; Zhao, Xiuhai1; von Gadow, Klaus3,4 | |
2019-05-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2019 |
卷号 | 440页码:40-47 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; India; Germany; South Africa |
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. |
英文关键词 | Beta diversity Community dissimilarity Discriminating avalanche Taxonomic distance Trait distance Phylogenetic distance |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000464297900005 |
WOS关键词 | FUNCTIONAL DIVERSITY ; BETA DIVERSITY ; DISSIMILARITY COEFFICIENTS ; BIOLOGICAL HETEROGENEITY ; NICHE CONSERVATISM ; AVALANCHE INDEX ; BIODIVERSITY ; ECOLOGY ; TREES ; PRODUCTIVITY |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/183224 |
专题 | 气候变化 |
作者单位 | 1.Beijing Forestry Univ, Res Ctr Forest Management Engn, State Forestry & Grassland Adm, Beijing 100083, Peoples R China; 2.Univ Agr Sci, Sch Ecol & Conservat, Gandhi Krishi Vignan Kendra Campus, Bengaluru 560065, India; 3.Georg August Univ, Fac Forestry & Forest Ecol, D-37077 Gottingen, Germany; 4.Stellenbosch Univ, Fac AgriSci, ZA-7600 Matieland, South Africa |
推荐引用方式 GB/T 7714 | Hao, Minhui,Ganeshaiah, Kotiganahalli Narayanagowda,Zhang, Chunyu,et al. Discriminating among forest communities based on taxonomic, phylogenetic and trait distances[J]. FOREST ECOLOGY AND MANAGEMENT,2019,440:40-47. |
APA | Hao, Minhui,Ganeshaiah, Kotiganahalli Narayanagowda,Zhang, Chunyu,Zhao, Xiuhai,&von Gadow, Klaus.(2019).Discriminating among forest communities based on taxonomic, phylogenetic and trait distances.FOREST ECOLOGY AND MANAGEMENT,440,40-47. |
MLA | Hao, Minhui,et al."Discriminating among forest communities based on taxonomic, phylogenetic and trait distances".FOREST ECOLOGY AND MANAGEMENT 440(2019):40-47. |
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