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Quantifying spatial phylogenetic structures of fully stem-mapped plant communities
Shen, Guochun1,2,3; Wiegand, Thorsten2; Mi, Xiangcheng4; He, Fangliang1,5
2013
发表期刊METHODS IN ECOLOGY AND EVOLUTION
ISSN2041-210X
卷号4期号:12页码:1132-1141
摘要Analysis of the phylogenetic similarity of co-occurring species at different spatial scales is increasingly used for decoding community assembly rules. Here, we integrated the analysis of phylobetadiversity and marked point pattern analysis to yield a new metric, the phylogenetic mark correlation function, k(d)(r), to quantify spatial phylogenetic structure of fully stem-mapped communities.k(d)(r) is defined as the expected phylogenetic distance of two heterospecifics separated by spatial distance r, and normalized with the expected phylogenetic distance of two heterospecifics taken randomly from a study area. It measures spatial phylogenetic turnover relative to spatial species turnover and is closely related with the spatially explicit Simpson index. We used simulated fully stem-mapped plant communities with known spatial phylogenetic structures to assess type I and II errors of the phylogenetic mark correlation function k(d)(r) under a null model of random phylogenetic spatial structure, and to test the ability of the k(d)(r) to detect scale-dependent signals of phylogenetic spatial structure. We also compared the performance of the k(d)(r) with two existing measures of phylobetadiversity that have been previously used to analyse fully stem-mapped plots. Finally, we explored the spatial phylogenetic structure of a 24-ha fully stem-mapped subtropical forest in China. Simulation tests showed that the new metric yielded correct type I and type II errors and accurately detected the spatial scales at which various processes (e.g. habitat filtering and competition) were invoked to generate spatial phylogenetic structures. The power of the k(d)(r) was not affected by a phylogenetic signal in species abundance and different topologies of the phylogenetic tree. Replacing phylogenetic distance by functional distance allows for application of the k(d)(r) to estimate spatial correlations in functional community structure. Thus, the k(d)(r) allows trait and phylogenetic structure to be analysed in the same framework. The phylogenetic mark correlation function is a powerful and accurate tool for revealing scale-dependent phylogenetic/functional footprints in community assemblages and allows ecologists to keep up with the increasingly available data of fully stem-mapped plots, functional traits and community phylogenies.
关键词community assembly rules phylogenetic mark correlation function point pattern analysis phylobetadiversity scale dependence spatial phylogenetic community pattern type I and II errors
学科领域Ecology
DOI10.1111/2041-210X.12119
收录类别SCI
语种英语
WOS关键词TROPICAL TREE COMMUNITIES ; MARKED POINT-PROCESSES ; BETA DIVERSITY ; SEEDLING MORTALITY ; FUNCTIONAL TRAITS ; SPECIES-DIVERSITY ; NULL-MODELS ; FOREST ; ECOLOGY ; SIGNAL
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000327997900004
出版者WILEY
文献子类Article
出版地HOBOKEN
EISSN2041-2096
资助机构Sun Yat-sen University ; NSERC (Canada)(Natural Sciences and Engineering Research Council of Canada (NSERC)) ; ERC(European Research Council (ERC)European Commission) ; NSFC(National Natural Science Foundation of China (NSFC)) ; Division Of Environmental Biology ; Direct For Biological Sciences(National Science Foundation (NSF)NSF - Directorate for Biological Sciences (BIO))
作者邮箱Wiegand, Thorsten/AAP-9709-2021 ; Wiegand, Thorsten/H-5877-2016
引用统计
被引频次:19[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/28176
专题植被与环境变化国家重点实验室
作者单位1.Sun Yat Sen Univ, SYSU Alberta Joint Lab Biodivers Conservat, Guangdong Key Lab Plant Resources, State Key Lab Biol Control, Guangzhou 510275, Guangdong, Peoples R China
2.Sun Yat Sen Univ, SYSU Alberta Joint Lab Biodivers Conservat, Guangdong Key Lab Plant Resources, Sch Life Sci, Guangzhou 510275, Guangdong, Peoples R China
3.UFZ Helmholtz Ctr Environm Res UFZ, Dept Ecol Modelling, D-04301 Leipzig, Germany
4.E China Normal Univ, Tiantong Natl Field Observat Stn Forest Ecosyst, Shanghai 200241, Peoples R China
5.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
6.Univ Alberta, Dept Renewable Resources, Edmonton, AB T6G 2H1, Canada
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Shen, Guochun,Wiegand, Thorsten,Mi, Xiangcheng,et al. Quantifying spatial phylogenetic structures of fully stem-mapped plant communities[J]. METHODS IN ECOLOGY AND EVOLUTION,2013,4(12):1132-1141.
APA Shen, Guochun,Wiegand, Thorsten,Mi, Xiangcheng,&He, Fangliang.(2013).Quantifying spatial phylogenetic structures of fully stem-mapped plant communities.METHODS IN ECOLOGY AND EVOLUTION,4(12),1132-1141.
MLA Shen, Guochun,et al."Quantifying spatial phylogenetic structures of fully stem-mapped plant communities".METHODS IN ECOLOGY AND EVOLUTION 4.12(2013):1132-1141.
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