Climatic determinants impacting the distribution of greenness in China: regional differentiation and spatial variability

doi:10.1007/s00484-019-01683-4

	Climatic determinants impacting the distribution of greenness in China: regional differentiation and spatial variability
	Jiao, Kewei 1,2; Gao, Jiangbo 1; Wu, Shaohong 1,3
刊名	INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
	2019-04-01
卷号	63 期号:4 页码:523-533
关键词	Greenness NDVI Climatic determinants Spatial variability Regional variations China
ISSN号	0020-7128
DOI	10.1007/s00484-019-01683-4
通讯作者	Gao, Jiangbo(gaojiangbo@igsnrr.ac.cn)
英文摘要	This study investigated climatic determinants for regional greenness in China and spatially variable correlations between climatic determinants and vegetation in specific regions using the geographical detector and geographically weighted regression (GWR) methodologies. The analyses were based on normalized difference vegetation index (NDVI) and interpolations of climatic determinants from 652 Chinese meteorological stations. The study period (1982-2013) was divided into two stages (T1-T2) before and after the inflection year identified by the accumulative anomaly of NDVI. Three typical regions (R1-R3) were then selected according to the same NDVI variation trend as China in the two periods. Precipitation was the dominant climatic factor of NDVI in China, and the effect of temperature on greenness increased with warming from T1 to T2. In a relatively arid region (R1), the effect of precipitation in T2 was further strengthened compared to T1. Meanwhile, the effect of minimum temperature in T2 also increased compared with T1 in a relatively humid region (R2), becoming the major climatic determinant. In addition to the regional differentiation, spatial variability was investigated by comparing normalized coefficients of GWR for climatic determinants; this showed significant spatial heterogeneity within each region. Temperature impact areas also existed within precipitation-dominated regions (R1 and R3), where areas of precipitation impact expanded from T1 to T2. Furthermore, regression coefficients between NDVI dynamics and climate variability revealed relationships between regional differentiation and spatial variability. For example, the increasing precipitation rate could mediate the adverse impacts on greenness caused by the higher warming rate in relatively arid regions (R1).
资助项目	National Natural Science Foundation of China[41671098] ; National Natural Science Foundation of China[41530749] ; National Key R&D Program of China[2018YFC1508801] ; Chinese Academy of Sciences[XDA20020202] ; Chinese Academy of Sciences[XDA19040304]
WOS关键词	VEGETATION DYNAMICS ; RESPONSES ; PRECIPITATION ; ECOSYSTEMS ; GRASSLAND ; TRENDS
WOS研究方向	Biophysics ; Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences ; Physiology
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000462612800009
资助机构	National Natural Science Foundation of China ; National Key R&D Program of China ; Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/48585]
专题	中国科学院地理科学与资源研究所
通讯作者	Gao, Jiangbo
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, 11A Datun Rd, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, 72 Wenhua Rd, Shenyang 110016, Liaoning, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, 19A Yuquan Rd, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Jiao, Kewei,Gao, Jiangbo,Wu, Shaohong. Climatic determinants impacting the distribution of greenness in China: regional differentiation and spatial variability[J]. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY,2019,63(4):523-533.
APA	Jiao, Kewei,Gao, Jiangbo,&Wu, Shaohong.(2019).Climatic determinants impacting the distribution of greenness in China: regional differentiation and spatial variability.INTERNATIONAL JOURNAL OF BIOMETEOROLOGY,63(4),523-533.
MLA	Jiao, Kewei,et al."Climatic determinants impacting the distribution of greenness in China: regional differentiation and spatial variability".INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 63.4(2019):523-533.