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	Exploring spatially variable relationships between NDVI and climatic factors in a transition zone using geographically weighted regression
	Zhao Z. Q.; Gao, J. B.; Wang, Y. L.; Liu, J. G.; Li, S. C.
	2015
关键词	scale-dependent relationships species richness non-stationarity rainfall relationship varying coefficients china models nonstationarity conservation productivity
英文摘要	At landscape scale, the normalized difference vegetation index (NDVI) can be used to indicate the vegetation's dynamic characteristics and has been widely employed to develop correlated and dependent relationships with the climatic and environmental factors. However, studies show that NDVI-environment relationships always emerge with complex features such as nonlinearity, scale dependency, and nonstationarity, especially in highly heterogeneous areas. In this study, we used geographically weighted regression (GWR), a local modeling technique to estimate regression models with spatially varying relationships, to investigate the spatially nonstationaly relationships between NDVI and climatic factors at multiple scales in North China. The results indicate that all GWR models with appropriate bandwidth represented significant improvements of model performance over the ordinary least squares (OLS) models. The spatial relationships between NDVI and climatic factors varied significantly over space and were more significant and sensitive in the ecogeographical transition zone. Clear spatial patterns of slope parameters and local coefficient of determination (R-2) were found from the results of the GWR models. Moreover, the spatial patterns of the local R-2 of NDVI-precipitation are much clearer than the R-2 of NDVI-temperature in the semi-arid and subhumid areas, which mean that precipitation has more significant influence on vegetation in these areas. In conclusion, the study revealed detailed site information on the variable relationships in different parts of the study area, especially in the ecogeographical transition zone, and the GWR model can improve model ability to address spatial, nonstationary, and scale-dependent problems in landscape ecology.
出处	Theoretical and Applied Climatology
卷	120
期	3-4
页	507-519
收录类别	SCI
语种	英语
ISSN号	0177-798X
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/39072]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Zhao Z. Q.,Gao, J. B.,Wang, Y. L.,et al. Exploring spatially variable relationships between NDVI and climatic factors in a transition zone using geographically weighted regression. 2015.

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