中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Mining the drivers of forest cover change in the upper Indus Valley, high Asia region from 1990 to 2020

文献类型:期刊论文

作者Yan, Xinrong2,3; Wang, Juanle1,2,3,4,5; Liu, Xiaotong6; Zhao, Hongyu7; Wu, Yuxin2
刊名ECOLOGICAL INDICATORS
出版日期2022-11-01
卷号144页码:14
ISSN号1470-160X
关键词Forest disturbance forest recovery driving force the upper Indus Valley
DOI10.1016/j.ecolind.2022.109566
通讯作者Wang, Juanle()
英文摘要The high Asia region is the water tower for many river valleys in East and South Asia, which has vital significance for regional environmental conservation and ecological security. In the upper Indus Valley, the role of forests is often overlooked, and their loss will lead to a reduction in ecological services, such as water conservation and disaster prevention, and will indirectly affect the water and food security of 230 million people in South Asia. Quantifying the drivers of forest cover change is a prerequisite for ensuring sustainable development in the upper Indus Valley. This study used forest disturbance and recovery data, history fire data, topographic data, and land use data to construct a decision tree model for mining the of drivers of forest cover change. Classification of the drivers of forest disturbance and recovery was achieved in the upper Indus Valley. The results showed that (1) disturbance mainly occurred in the central region of the upper Indus Valley, where forest degradation was the main driver accounting for 69.0%, and agricultural transfer was the secondary driver accounting for 21.6%; commercial cultivation and deforestation drivers both disturbed about 4% of the area, and fire, human activities, and natural hazards disturbed only a small area of forest accounting for less than 1%; (2) the spatial distribution of recovery was basically consistent with the disturbance, with natural recovery being the main driver of forest recovery, accounting for 60.1%, and artificial recovery being the secondary driver, accounting for 39.9%; (3) relevant governance measures or forest conversation policies in the Indus Valley were recommended, such as increasing the supply of non-biomass energy, controlling the scale of livestock, and establishing friendly land use policies, to maintain the growth and balance of forest area and quality.
WOS关键词LANDSAT TIME-SERIES ; DISTURBANCE ; DYNAMICS ; DEFORESTATION ; CONSERVATION ; ATTRIBUTION ; SYSTEMS ; TRENDS ; BEETLE
资助项目China - Pakistan Joint Research Center on Earth Sciences ; Construction Project of the China Knowledge Center for Engineering Sciences and Technology ; [CKCEST-2022-1-41]
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
出版者ELSEVIER
WOS记录号WOS:000878680000004
资助机构China - Pakistan Joint Research Center on Earth Sciences ; Construction Project of the China Knowledge Center for Engineering Sciences and Technology
源URL[http://ir.igsnrr.ac.cn/handle/311030/186665]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Juanle
作者单位1.11A Datun Rd, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.China Pakistan Earth Sci Res Ctr, Islamabad 45320, Pakistan
5.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China
6.Natl Forestry & Grassland Adm, Acad Inventory & Planning, Beijing 100714, Peoples R China
7.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
推荐引用方式
GB/T 7714
Yan, Xinrong,Wang, Juanle,Liu, Xiaotong,et al. Mining the drivers of forest cover change in the upper Indus Valley, high Asia region from 1990 to 2020[J]. ECOLOGICAL INDICATORS,2022,144:14.
APA Yan, Xinrong,Wang, Juanle,Liu, Xiaotong,Zhao, Hongyu,&Wu, Yuxin.(2022).Mining the drivers of forest cover change in the upper Indus Valley, high Asia region from 1990 to 2020.ECOLOGICAL INDICATORS,144,14.
MLA Yan, Xinrong,et al."Mining the drivers of forest cover change in the upper Indus Valley, high Asia region from 1990 to 2020".ECOLOGICAL INDICATORS 144(2022):14.

入库方式: OAI收割

来源:地理科学与资源研究所

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