Examining residual spatial correlation in variation partitioning of beta diversity in a subtropical forest
Cao, K; Mi, XC; Zhang, LW; Ren, HB; Yu, MJ; Chen, JH; Zhang, JT; Ma, KP
Source PublicationJOURNAL OF PLANT ECOLOGY
ISSN1752-9921
2019-08
Volume12Issue:4Pages:636-644
Keywordbeta analysis residual spatial correlation spatial scale canonical ordination multi-scale ordination variation partitioning
MOST Discipline CataloguePlant Sciences ; Ecology ; Forestry
DOI10.1093/jpe/rty058
Contribution Rank[Cao, Ke; Zhang, Jintun] Beijing Normal Univ, Coll Life Sci, Minist Educ, Key Lab Biodivers Sci & Ecol Engn, Beijing 100875, Peoples R China; [Cao, Ke; Mi, Xiangcheng; Ren, Haibao; Ma, Keping] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, 20 Nanxingcun, Beijing 100093, Peoples R China; [Zhang, Liwen] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc, Yantai 264003, Peoples R China; [Yu, Mingjian] Zhejiang Univ, Coll Life Sci, Hangzhou 310058, Zhejiang, Peoples R China; [Chen, Jianhua] Zhejiang Normal Univ, Coll Chem & Life Sci, Jinhua 321004, Zhejiang, Peoples R China
Department海岸带环境过程实验室
AbstractAims 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.
SubtypeArticle
Funding OrganizationNational Natural Science Foundation of ChinaNational Natural Science Foundation of China [31470490, 31770478]
Indexed BySCI
Language英语
WOS KeywordECOLOGICAL DATA ; AUTOCORRELATION ; FRAMEWORK
WOS Research AreaPlant Sciences ; Ecology ; Forestry
WOS IDWOS:000472807400005
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.yic.ac.cn/handle/133337/24898
Collection中科院海岸带环境过程与生态修复重点实验室_海岸带环境过程实验室
Affiliation1.Beijing Normal Univ, Coll Life Sci, Minist Educ, Key Lab Biodivers Sci & Ecol Engn, Beijing 100875, Peoples R China;
2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, 20 Nanxingcun, Beijing 100093, Peoples R China;
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc, Yantai 264003, 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
Recommended Citation
GB/T 7714
Cao, K,Mi, XC,Zhang, LW,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, K.,Mi, XC.,Zhang, LW.,Ren, HB.,Yu, MJ.,...&Ma, KP.(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, K,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.
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