Varying coefficient analysis for indeterminate species interactions with non-parametric estimation, exemplifying with a fig-fig wasp system

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	Varying coefficient analysis for indeterminate species interactions with non-parametric estimation, exemplifying with a fig-fig wasp system
	Shi L 1,2; Wang RW*2; Zhu LX 3; Zen WM 4; Xu WL 5; Zheng Q 2; ruiwukiz@hotmail.com
	2011
发表期刊	CHINESE SCIENCE BULLETIN
卷号	56 期号:24 页码:2545-2552
合作性质	其它
摘要	Research on species interactions has generally assumed that species have a fixed interaction and therefore linear or non-linear parametric regression models (e.g. exponential, logistic) have been widely used to describe the species interaction. However, these models that describe the relationship between interacting species as a specific functional response might not be appropriate for real biological communities, for instance, in a chaotic system, when the species relationship varies among different situations. To allow a more accurate description of the relationship, we developed a species correlation model with varying coefficient analysis, in which a non-parametric estimation is applied to identify, as a function of related factors, variation in the correlation coefficient. This was applied to a fig-fig wasp model system. When the effect of the factors on the relationship can be described with parameters, the new method reduces to traditional parametric correlation analysis. In this way, the new method is more general and flexible for empirical data analyses, but different by allowing investigation of whether a species interaction varies with respect to factors, and of the factors that maintain or change the species interaction. This method will have important applications in both theoretical and applied research (e.g. epidemiology, community management).
关键词	Species Interaction Non-parametric Estimation Correlation Coefficient Varying Coefficient Analysis
资助者	This work was supported by the National Basic Research Program of China ( 2007CB411600 ) , Na- tional Natural Science Foundation of China ( 30670272, 30770500 and 10761010 ) , the Natural Science Foundation of Yunnan Province ( 2009- CD104 ) , the West Light Foundation of the Chinese Academy of Sciences, Special Fund for the Excellent Youth of the Chinese Academy of Sciences ( KSCX2-EW-Q-9 ) , State Key Laboratory of Genetic Resources and Evolu- tion, the National Social Science Foundation of China ( 08XTJ001 ) and Research Grants Council of Hong Kong ( HKBU2030/07P ). ; This work was supported by the National Basic Research Program of China ( 2007CB411600 ) , Na- tional Natural Science Foundation of China ( 30670272, 30770500 and 10761010 ) , the Natural Science Foundation of Yunnan Province ( 2009- CD104 ) , the West Light Foundation of the Chinese Academy of Sciences, Special Fund for the Excellent Youth of the Chinese Academy of Sciences ( KSCX2-EW-Q-9 ) , State Key Laboratory of Genetic Resources and Evolu- tion, the National Social Science Foundation of China ( 08XTJ001 ) and Research Grants Council of Hong Kong ( HKBU2030/07P ). ; This work was supported by the National Basic Research Program of China ( 2007CB411600 ) , Na- tional Natural Science Foundation of China ( 30670272, 30770500 and 10761010 ) , the Natural Science Foundation of Yunnan Province ( 2009- CD104 ) , the West Light Foundation of the Chinese Academy of Sciences, Special Fund for the Excellent Youth of the Chinese Academy of Sciences ( KSCX2-EW-Q-9 ) , State Key Laboratory of Genetic Resources and Evolu- tion, the National Social Science Foundation of China ( 08XTJ001 ) and Research Grants Council of Hong Kong ( HKBU2030/07P ). ; This work was supported by the National Basic Research Program of China ( 2007CB411600 ) , Na- tional Natural Science Foundation of China ( 30670272, 30770500 and 10761010 ) , the Natural Science Foundation of Yunnan Province ( 2009- CD104 ) , the West Light Foundation of the Chinese Academy of Sciences, Special Fund for the Excellent Youth of the Chinese Academy of Sciences ( KSCX2-EW-Q-9 ) , State Key Laboratory of Genetic Resources and Evolu- tion, the National Social Science Foundation of China ( 08XTJ001 ) and Research Grants Council of Hong Kong ( HKBU2030/07P ).
收录类别	SCI
语种	英语
资助者	This work was supported by the National Basic Research Program of China ( 2007CB411600 ) , Na- tional Natural Science Foundation of China ( 30670272, 30770500 and 10761010 ) , the Natural Science Foundation of Yunnan Province ( 2009- CD104 ) , the West Light Foundation of the Chinese Academy of Sciences, Special Fund for the Excellent Youth of the Chinese Academy of Sciences ( KSCX2-EW-Q-9 ) , State Key Laboratory of Genetic Resources and Evolu- tion, the National Social Science Foundation of China ( 08XTJ001 ) and Research Grants Council of Hong Kong ( HKBU2030/07P ). ; This work was supported by the National Basic Research Program of China ( 2007CB411600 ) , Na- tional Natural Science Foundation of China ( 30670272, 30770500 and 10761010 ) , the Natural Science Foundation of Yunnan Province ( 2009- CD104 ) , the West Light Foundation of the Chinese Academy of Sciences, Special Fund for the Excellent Youth of the Chinese Academy of Sciences ( KSCX2-EW-Q-9 ) , State Key Laboratory of Genetic Resources and Evolu- tion, the National Social Science Foundation of China ( 08XTJ001 ) and Research Grants Council of Hong Kong ( HKBU2030/07P ). ; This work was supported by the National Basic Research Program of China ( 2007CB411600 ) , Na- tional Natural Science Foundation of China ( 30670272, 30770500 and 10761010 ) , the Natural Science Foundation of Yunnan Province ( 2009- CD104 ) , the West Light Foundation of the Chinese Academy of Sciences, Special Fund for the Excellent Youth of the Chinese Academy of Sciences ( KSCX2-EW-Q-9 ) , State Key Laboratory of Genetic Resources and Evolu- tion, the National Social Science Foundation of China ( 08XTJ001 ) and Research Grants Council of Hong Kong ( HKBU2030/07P ). ; This work was supported by the National Basic Research Program of China ( 2007CB411600 ) , Na- tional Natural Science Foundation of China ( 30670272, 30770500 and 10761010 ) , the Natural Science Foundation of Yunnan Province ( 2009- CD104 ) , the West Light Foundation of the Chinese Academy of Sciences, Special Fund for the Excellent Youth of the Chinese Academy of Sciences ( KSCX2-EW-Q-9 ) , State Key Laboratory of Genetic Resources and Evolu- tion, the National Social Science Foundation of China ( 08XTJ001 ) and Research Grants Council of Hong Kong ( HKBU2030/07P ).
文献类型	期刊论文
条目标识符	http://ir.kiz.ac.cn/handle/353002/6714
专题	实验与理论生态学遗传资源与进化国家重点实验室
通讯作者	ruiwukiz@hotmail.com
作者单位	1.Statistics and Mathematics School, Yunnan University of Finance and Economics, Kunming 650221, China 2.Ecology, Conservation, and Environment Center (ECEC), State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoo- logy, Chinese Academy of Sciences, Kunming 650223, China 3.Department of Mathematics, Hong Kong Baptist University, Hong Kong, China 4.Scientific and Technical Department, Yunnan University of Nationalities, Kunming 650031, China 5.Statistics College, RenMing University of China, Beijing 100080, China
推荐引用方式 GB/T 7714	Shi L,Wang RW*,Zhu LX,et al. Varying coefficient analysis for indeterminate species interactions with non-parametric estimation, exemplifying with a fig-fig wasp system[J]. CHINESE SCIENCE BULLETIN,2011,56(24):2545-2552.
APA	Shi L.,Wang RW*.,Zhu LX.,Zen WM.,Xu WL.,...&ruiwukiz@hotmail.com.(2011).Varying coefficient analysis for indeterminate species interactions with non-parametric estimation, exemplifying with a fig-fig wasp system.CHINESE SCIENCE BULLETIN,56(24),2545-2552.
MLA	Shi L,et al."Varying coefficient analysis for indeterminate species interactions with non-parametric estimation, exemplifying with a fig-fig wasp system".CHINESE SCIENCE BULLETIN 56.24(2011):2545-2552.

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