Quantifying influences of natural and anthropogenic factors on vegetation changes using structural equation modeling: A case study in Jiangsu Province, China

doi:10.1016/j.jclepro.2020.124330

	Quantifying influences of natural and anthropogenic factors on vegetation changes using structural equation modeling: A case study in Jiangsu Province, China
	Yang, Lin 2; Shen, Feixue 2; Zhang, Lei 2; Cai, Yanyan 2; Yi, Fangxin 3; Zhou, Chenghu 1,2
刊名	JOURNAL OF CLEANER PRODUCTION
	2021-01-20
卷号	280 页码:13
关键词	NDVI change Human activities Driving factors Climate change Urbanization
ISSN号	0959-6526
DOI	10.1016/j.jclepro.2020.124330
通讯作者	Yi, Fangxin(fangxin.yi@bnu.edu.cn)
英文摘要	Vegetation coverage in highly developed areas has been significantly altered in response to multiple disturbances over recent decades. However, the major driving factor of vegetation coverage change in these areas remains unclear, with climate change and anthropogenic factors playing interactive roles under different soil and terrain conditions. Comprehensively understanding the underlying drivers of vegetation change can provide references for regulating environmental management and prevention of vegetation degradation. In this paper, a structural equation modeling (SEM) method was employed to quantify the effects of fundamental natural environment (i.e. the relative stable variables including soil and topography), climate change and human activity change on vegetation coverage change in Jiangsu province, China from 2000 to 2015. Four variables including land use, population density, road impact and night lights were used to indicate human activities. The results showed that the increase of NDVI smaller than 0.10 covered 39.13% of the study area while the decrease of NDVI larger than 0.10 accounted for 20.23%. Areas with NDVI increase mainly distributed in croplands in northern Jiangsu. This could be explained by the increase of crop yield due to the development of modern agriculture. The decrease of NDVI was mainly observed in southern Jiangsu with higher urbanization level and city centers in northern Jiangsu, indicating the effect of rapid urbanization on vegetation degradation. The constructed SEM model suggested that the total effects (influential coefficients) of fundamental natural environment, climate change, and human activity change on NDVI change in Jiangsu were -0.24, 0.17, and -0.74, respectively. Although the fundamental natural environment didn't have a direct effect on NDVI change, but it had an indirect effect through interactions with human activities. We also constructed SEM models for northern and southern Jiangsu separately, due to their different natural environment and changing patterns of climate change. The results indicated the different driving mechanisms of NDVI change in northern and southern Jiangsu. Furthermore, the results suggested night light as the best indicator of human activity change, followed by the road impact index. We concluded that our study offered a framework to better understand and explain the complex interrelationships behind the spatial temporal change of NDVI. (C) 2020 Elsevier Ltd. All rights reserved.
资助项目	National Natural Science Foundation of China[41971054] ; National Natural Science Foundation of China[41530749] ; Leading Funds for the First Class Universities[020914912203]
WOS关键词	LONG-TERM VARIATIONS ; CLIMATE-CHANGE ; DRIVING FORCES ; RIVER-BASIN ; LAND-USE ; HUMAN FOOTPRINT ; SOURCE REGION ; NDVI ; RESPONSES ; PRODUCTIVITY
WOS研究方向	Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000608743000012
资助机构	National Natural Science Foundation of China ; Leading Funds for the First Class Universities
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/136204]
专题	中国科学院地理科学与资源研究所
通讯作者	Yi, Fangxin
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China 3.Beijing Normal Univ, Sch Social Dev & Publ Policy, Innovat Ctr Risk Governance, North Main Bldg,19 Xinjiekouwai St, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Yang, Lin,Shen, Feixue,Zhang, Lei,et al. Quantifying influences of natural and anthropogenic factors on vegetation changes using structural equation modeling: A case study in Jiangsu Province, China[J]. JOURNAL OF CLEANER PRODUCTION,2021,280:13.
APA	Yang, Lin,Shen, Feixue,Zhang, Lei,Cai, Yanyan,Yi, Fangxin,&Zhou, Chenghu.(2021).Quantifying influences of natural and anthropogenic factors on vegetation changes using structural equation modeling: A case study in Jiangsu Province, China.JOURNAL OF CLEANER PRODUCTION,280,13.
MLA	Yang, Lin,et al."Quantifying influences of natural and anthropogenic factors on vegetation changes using structural equation modeling: A case study in Jiangsu Province, China".JOURNAL OF CLEANER PRODUCTION 280(2021):13.