干旱区生态环境知识资源中心(Arid): How did the Chinese Loess Plateau turn green from 2001 to 2020? An explanation using satellite data

Arid

DOI	10.1016/j.catena.2022.106246
	How did the Chinese Loess Plateau turn green from 2001 to 2020? An explanation using satellite data
	He, Liang; Guo, Jianbin; Jiang, Qunou; Zhang, Ziyou; Yu, Songping
通讯作者	Guo, JB
来源期刊	CATENA
ISSN	0341-8162
EISSN	1872-6887
出版年	2022
卷号	214
英文摘要	Vegetation growth of the Chinese Loess Plateau (CLP) has improved since the launch of the Grain to Green Programme. This study examined the mechanism of spatial differentiation of the Normalized Difference Vegetation Index (NDVI) and the relative contributions of climate variations (CV) and human activities (HA) to variations in inter-annual NDVI in the CLP for 2001-2020. The response of NDVI to afforestation was examined and the trend of projected future NDVI was identified using the Moderate Resolution Imaging Spectroradiometer and other correlative data. The results showed that: (1) precipitation, sunshine duration, relative humidity, solar radiations, and vegetation type were the dominant factors affecting the spatial distribution of NDVI. All interactive explanatory powers of two factors exceeded those of any individual factor, and the interactions between natural and anthropogenic factors had significant effects on NDVI. (2) Variation in NDVI in 88.77% of the total area was influenced by the combined effect of HA and CV, and HA was the dominant factor with relative a contribution of 68.44%. (3) There was an increasing (2001-2005) followed by a decreasing (2006-2019) pattern of annual area of afforestation in each province. The seven provinces showed extremely significant correlations (p < 0.01) between the cumulative area of afforestation and NDVI. (4) The trend in the change in NDVI exhibited the unsustainability of development of the CLP, with 63.20% of regions at risk of vegetation degradation. Finally, the present study suggests that forests in arid and semi-arid areas following a row-belt distribution with low coverage composed of narrow forest belts (covering an area of 15-25%) and wide natural vegetation restoration (covering an area of 75-85%) may be more appropriate for restoration of the regional ecology.
英文关键词	NDVI Driving forces Geographical detector model The relative contributions Row-belt distribution Ecological restoration strategy
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000788498100004
WOS关键词	ECOLOGICAL RESTORATION PROGRAM ; CLIMATE-CHANGE ; VEGETATION DYNAMICS ; RESPONSES ; REGION ; COVER ; DESERTIFICATION ; ENVIRONMENT ; ECOSYSTEM ; RECHARGE
WOS类目	Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS研究方向	Geology ; Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392095
推荐引用方式 GB/T 7714	He, Liang,Guo, Jianbin,Jiang, Qunou,et al. How did the Chinese Loess Plateau turn green from 2001 to 2020? An explanation using satellite data[J],2022,214.
APA	He, Liang,Guo, Jianbin,Jiang, Qunou,Zhang, Ziyou,&Yu, Songping.(2022).How did the Chinese Loess Plateau turn green from 2001 to 2020? An explanation using satellite data.CATENA,214.
MLA	He, Liang,et al."How did the Chinese Loess Plateau turn green from 2001 to 2020? An explanation using satellite data".CATENA 214(2022).