Spatiotemporal differences in climate change impacts on vegetation cover in China from 1982 to 2015

doi:10.1007/s11356-021-16440-7

	Spatiotemporal differences in climate change impacts on vegetation cover in China from 1982 to 2015
	Jin, Kai 2,3; Wang, Fei 1,3,4; Zong, Quanli 2; Qin, Peng 2; Liu, Chunxia 2; Wang, Shaoxia 2
刊名	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
	2021-09-13
页码	14
关键词	Vegetation cover NDVI Temperature Precipitation Multiple linear regression China
ISSN号	0944-1344
DOI	10.1007/s11356-021-16440-7
通讯作者	Jin, Kai(jinkai-2014@outlook.com) ; Wang, Shaoxia(wang-sx@hotmail.com)
英文摘要	The impacts of climate change on vegetation cover in different regions in China are not entirely clear because of the interference of non-climatic factors, such as human activity. This study aims to analyze the spatiotemporal differences in climate impacts qualitatively and quantitatively by applying trend, correlation, and multiple linear regression (MLR) analyses to the data of Normalized Difference Vegetation Index (NDVI) and two climatic factors (air temperature and precipitation) during 1982-2015 in China. The MLR equation linking two climatic variables with NDVI was used to identify the NDVI trend caused by climate change. We demonstrated that the central and eastern regions of China, dominated by deciduous and evergreen broadleaf forests, experienced a rapid increase in NDVI from 1982 to 2015. The response of NDVI to variations in temperature and precipitation exhibited large spatiotemporal differences across China, which was closely related to climatic conditions and vegetation types. Overall, warming, particularly the sharp rise in spring, was the main climatic driving force behind China's NDVI increase, and precipitation also influenced the NDVI increase in temperate grassland and desert regions due to the relatively arid climate, particularly in summer. The contributions of climate change to the total NDVI trend (CC) showed a large spatiotemporal heterogeneity across China. Overall, only 45% of the pixels (with a resolution of 8 km) in the study area showed that the MLR equations between NDVI and two climatic factors were significant at the 0.05 significance level during the growing season (April-October), and the average CC of these pixels was 38%. Among the eight vegetation sub-regions of China, the temperate desert and Qinghai-Tibet Plateau alpine meadow regions generally exhibited relatively larger CCs than other vegetation sub-regions in different seasons. At a national scale, the regional average CC reached 64% during the growing season. These results at multiple scales can help to deeply understand the mechanisms of regional environmental variation and sustainability.
资助项目	Foundation of High-level Talents of Qingdao Agricultural University[665/1120041] ; Foundation of High-level Talents of Qingdao Agricultural University[663/1120104]
WOS关键词	RIVER-BASIN ; GREENING TREND ; NDVI ; RESPONSES ; TEMPERATURE ; GROWTH ; GIMMS ; MODIS ; AREA
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000695441200004
资助机构	Foundation of High-level Talents of Qingdao Agricultural University
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/165564]
专题	中国科学院地理科学与资源研究所
通讯作者	Jin, Kai; Wang, Shaoxia
作者单位	1.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 2.Qingdao Agr Univ, Coll Resources & Environm, Qingdao Engn Res Ctr Rural Environm, Qingdao 266109, Shandong, Peoples R China 3.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Jin, Kai,Wang, Fei,Zong, Quanli,et al. Spatiotemporal differences in climate change impacts on vegetation cover in China from 1982 to 2015[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2021:14.
APA	Jin, Kai,Wang, Fei,Zong, Quanli,Qin, Peng,Liu, Chunxia,&Wang, Shaoxia.(2021).Spatiotemporal differences in climate change impacts on vegetation cover in China from 1982 to 2015.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,14.
MLA	Jin, Kai,et al."Spatiotemporal differences in climate change impacts on vegetation cover in China from 1982 to 2015".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021):14.