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Examining residual spatial correlation in variation partitioning of beta diversity in a subtropical forest

文献类型：期刊论文

作者Cao, Ke3; Mi, Xiangcheng3; Zhang, Liwen2; Ren, Haibao3; Yu, Mingjian1; Chen, Jianhua4; Zhang, Jintun; Ma, Keping3
刊名JOURNAL OF PLANT ECOLOGY
出版日期2019
卷号12期号:4页码:636-644
关键词beta analysis residual spatial correlation spatial scale canonical ordination multi-scale ordination variation partitioning
ISSN号1752-9921
DOI10.1093/jpe/rty058
文献子类Article
英文摘要Aims The relative roles of ecological processes in structuring beta diversity are usually quantified by variation partitioning of beta diversity with respect to environmental and spatial variables or gamma diversity. However, if important environmental or spatial factors are omitted, or a scale mismatch occurs in the analysis, unaccounted spatial correlation will appear in the residual errors and lead to residual spatial correlation and problematic inferences. Methods Multi-scale ordination (MSO) partitions the canonical ordination results by distance into a set of empirical variograms which characterize the spatial structures of explanatory, conditional and residual variance against distance. Then these variance components can be used to diagnose residual spatial correlation by checking assumptions related to geostatistics or regression analysis. In this paper, we first illustrate the performance of MSO using a simulated data set with known properties, thus making statistical issues explicit. We then test for significant residual spatial correlation in beta diversity analyses of the Gutianshan (GTS) 24-ha subtropical forest plot in eastern China. Important Findings Even though we used up to 24 topographic and edaphic variables mapped at high resolution and spatial variables representing spatial structures at all scales, we still found significant residual spatial correlation at the 10 m x 10 m quadrat scale. This invalidated the analysis and inferences at this scale. We also show that MSO provides a complementary tool to test for significant residual spatial correlation in beta diversity analyses. Our results provided a strong argument supporting the need to test for significant residual spatial correlation before interpreting the results of beta diversity analyses.
学科主题Plant Sciences ; Ecology ; Forestry
出版地OXFORD
电子版国际标准刊号1752-993X
WOS关键词ECOLOGICAL DATA ; AUTOCORRELATION ; FRAMEWORK
WOS研究方向Plant Sciences ; Environmental Sciences & Ecology ; Forestry
语种英语
WOS记录号WOS:000472807400005
出版者OXFORD UNIV PRESS
资助机构National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31470490, 31770478]
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/19568]  
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc, Yantai 264003, Peoples R China
2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, 20 Nanxingcun, Beijing 100093, Peoples R China
3.Beijing Normal Univ, Coll Life Sci, Minist Educ, Key Lab Biodivers Sci & Ecol Engn, Beijing 100875, Peoples R China
4.Zhejiang Univ, Coll Life Sci, Hangzhou 310058, Zhejiang, Peoples R China
5.Zhejiang Normal Univ, Coll Chem & Life Sci, Jinhua 321004, Zhejiang, Peoples R China
推荐引用方式
GB/T 7714		 Cao, Ke,Mi, Xiangcheng,Zhang, Liwen,et al. Examining residual spatial correlation in variation partitioning of beta diversity in a subtropical forest[J]. JOURNAL OF PLANT ECOLOGY,2019,12(4):636-644.
APA Cao, Ke.,Mi, Xiangcheng.,Zhang, Liwen.,Ren, Haibao.,Yu, Mingjian.,...&Ma, Keping.(2019).Examining residual spatial correlation in variation partitioning of beta diversity in a subtropical forest.JOURNAL OF PLANT ECOLOGY,12(4),636-644.
MLA Cao, Ke,et al."Examining residual spatial correlation in variation partitioning of beta diversity in a subtropical forest".JOURNAL OF PLANT ECOLOGY 12.4(2019):636-644.

入库方式： OAI收割

来源：植物研究所

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