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

doi:10.1093/jpe/rty058

	Examining residual spatial correlation in variation partitioning of beta diversity in a subtropical forest
	Cao, Ke 1; Mi, Xiangcheng 1; Zhang, Liwen 2; Ren, Haibao 1; Yu, Mingjian 3; Chen, Jianhua 4; Zhang, Jintun ; Ma, Keping1
	2019
发表期刊	JOURNAL OF PLANT ECOLOGY
ISSN	1752-9921
卷号	12 期号:4 页码:636-644
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.
关键词	beta analysis residual spatial correlation spatial scale canonical ordination multi-scale ordination variation partitioning
学科领域	Plant Sciences ; Ecology ; Forestry
DOI	10.1093/jpe/rty058
收录类别	SCI
语种	英语
WOS关键词	ECOLOGICAL DATA ; AUTOCORRELATION ; FRAMEWORK
WOS研究方向	Plant Sciences ; Environmental Sciences & Ecology ; Forestry
WOS记录号	WOS:000472807400005
出版者	OXFORD UNIV PRESS
文献子类	Article
出版地	OXFORD
EISSN	1752-993X
资助机构	National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31470490, 31770478]
作者邮箱	zhangjt@bnu.edu.cn
作品OA属性	Bronze, Green Published
引用统计	被引频次：4[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/2S10CLM1/19568
专题	植被与环境变化国家重点实验室
作者单位	1.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
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.

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