Anthropogenic contributions dominate trends of vegetation cover change over the farming-pastoral ecotone of northern China

doi:10.1016/j.ecolind.2018.07.063

	Anthropogenic contributions dominate trends of vegetation cover change over the farming-pastoral ecotone of northern China
	Liu, Zhengjia 1,2; Liu, Yansui 1,2; Li, Yurui 1,2
刊名	ECOLOGICAL INDICATORS
	2018-12-01
卷号	95 页码:370-378
关键词	Human activities Land use change Climatic factors Residual analysis method Remote sensing
ISSN号	1470-160X
DOI	10.1016/j.ecolind.2018.07.063
通讯作者	Liu, Zhengjia(liuzj@igsnrr.ac.cn) ; Liu, Yansui(liuys@igsnrr.ac.cn)
英文摘要	Separating anthropogenic contributions from observed vegetation change is helpful for improving our understanding of the effects of human activities on regional ecosystems. In this study, using 1982-2015 GIMMS3g normal difference vegetation index (observed NDVI), monthly climatic variables and land use data, we investigated anthropogenic contributions on vegetation change in the farming-pastoral ecotone of northern China (FPEN). Specifically, given that large-area ecological engineering was practiced since 1999 and large-area land use changes were recorded after 2000, we assumed that human activities only had little impact before 1999. Based on this assumption, we developed a climate-based NDVI model (also termed as TPR-based NDVI model) by using 1982-1999 observed NDVI and assembled monthly precipitation, temperature and solar radiation. Subsequently, the TPR-based NDVI model as well as the residual analysis method were used to separate anthropogenic contributions from observed NDVI in the period of 2000-2015. Results showed that most FPEN performed a greening trend for the period of 1982-2015. Yet a browning trend was also found in central and northern FPEN. The browning trend was largely related to changes of observed NDVI after 2000. Spatial statistics for the best related climatic variable with observed NDVI displayed that temperature, precipitation and solar radiation separately accounted for 42.45%, 31.05% and 26.50% of FPEN, implying their similar importance for vegetation growth in space. Importantly, this study found that anthropogenic contributions dominated trends of observed NDVI over FPEN. Human activities significantly increased NOW in western and southeastern FPEN (p < 0.05), but small decreased NDVI was also observed in central and northeastern FPEN. The findings of this study suggest that applications of anthropogenic ecological engineering and associated conservation measures should be suitable for features of eco-climatic zones.
资助项目	National Natural Science Foundation of China[41601582] ; National Key Research and Development Program of China[2017YFC0504701] ; Global Rural Plan-China Rural Revitalization (GRP-CRV) ; Start-up Research Program of IGSNRR
WOS关键词	LAND-USE CHANGE ; GREEN-UP DATE ; CLIMATE-CHANGE ; LOESS PLATEAU ; RIVER-BASIN ; PHENOLOGY ; PATTERNS ; NDVI ; RESPONSES ; RESTORATION
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000456907400035
资助机构	National Natural Science Foundation of China ; National Key Research and Development Program of China ; Global Rural Plan-China Rural Revitalization (GRP-CRV) ; Start-up Research Program of IGSNRR
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/49943]
专题	中国科学院地理科学与资源研究所
通讯作者	Liu, Zhengjia; Liu, Yansui
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Liu, Zhengjia,Liu, Yansui,Li, Yurui. Anthropogenic contributions dominate trends of vegetation cover change over the farming-pastoral ecotone of northern China[J]. ECOLOGICAL INDICATORS,2018,95:370-378.
APA	Liu, Zhengjia,Liu, Yansui,&Li, Yurui.(2018).Anthropogenic contributions dominate trends of vegetation cover change over the farming-pastoral ecotone of northern China.ECOLOGICAL INDICATORS,95,370-378.
MLA	Liu, Zhengjia,et al."Anthropogenic contributions dominate trends of vegetation cover change over the farming-pastoral ecotone of northern China".ECOLOGICAL INDICATORS 95(2018):370-378.