中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Satellite evidence for China's leading role in restoring vegetation productivity over global karst ecosystems

文献类型:期刊论文

作者Tang, Xuguang3,4; Xiao, Jingfeng5; Ma, Mingguo3,4; Yang, Hong6; Li, Xing5; Ding, Zhi3,4; Yu, Pujia3,4; Zhang, Yongguang1; Wu, Chaoyang7; Huang, Jing3,4
刊名FOREST ECOLOGY AND MANAGEMENT
出版日期2022-03-01
卷号507页码:13
关键词Karst ecosystem Vegetation restoration Solar-induced chlorophyll fluorescence GPP LUCC
ISSN号0378-1127
DOI10.1016/j.foreco.2021.120000
通讯作者Tang, Xuguang(xgtang@swu.edu.cn) ; Ma, Mingguo(mmg@swu.edu.cn)
英文摘要Karst ecosystems occupy approximately 20% of the Earth's land surface with the unique and vulnerable geomorphological and hydrogeological characteristics. To date, it remains a challenge to accurately monitor ecosystem productivity from space, as well as their responses to the environmental conditions due to climate change and anthropogenic pressure, which is pivotal to the sustainable development strategies in global karst areas. Here we use a reconstructed long-term solar-induced chlorophyll fluorescence dataset (SIF) and two satellite-based gross primary productivity (GPP) products to examine the patterns and trends of vegetation productivity within global karst ecosystems, and to assess the relative contributions of different countries to the restoration of these fragile ecosystems over the period 2001-2016. As an effective proxy for terrestrial GPP, SIF reveals a greening trend across most of the world's karst areas. China and the European Union (EU) lead the world in vegetation greening within their karst areas by 78.02% and 42.44%, respectively. The total net increase in SIF shows that China alone accounted for 43.66% with just 7.0% of global karst area. Brazil is the only country with a negative greening trend. Recent land cover changes caused by the grain-for-green programme in China and deforestation in Brazil account for 36.93% and 64.71% of the increases and decreases, respectively. Our results have significant implications for restoring ecosystem productivity in global karst areas.
WOS关键词CLIMATE-CHANGE ; CHLOROPHYLL FLUORESCENCE ; ROCKY DESERTIFICATION ; LAND-USE ; CARBON ; DEFORESTATION ; EARTH ; PHOTOSYNTHESIS ; GREENNESS ; DYNAMICS
资助项目Special Project on National Science and Technology Basic Resources Investigation of China[2021FY100701] ; National Major Projects on HighResolution Earth Observation System[21-Y20B01-9001-19/22]
WOS研究方向Forestry
语种英语
WOS记录号WOS:000746621300001
出版者ELSEVIER
资助机构Special Project on National Science and Technology Basic Resources Investigation of China ; National Major Projects on HighResolution Earth Observation System
源URL[http://ir.igsnrr.ac.cn/handle/311030/170075]  
专题中国科学院地理科学与资源研究所
通讯作者Tang, Xuguang; Ma, Mingguo
作者单位1.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210023, Peoples R China
2.UCL, Dept Geog, London WC1E 6BT, England
3.Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat &, Chongqing 400715, Peoples R China
4.Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, Chongqing 400715, Peoples R China
5.Univ New Hampshire, Inst Study Earth Oceans & Space, Earth Syst Res Ctr, Durham, NH 03824 USA
6.Univ Reading, Dept Geog & Environm Sci, Reading RG6 6AB, Berks, England
7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Tang, Xuguang,Xiao, Jingfeng,Ma, Mingguo,et al. Satellite evidence for China's leading role in restoring vegetation productivity over global karst ecosystems[J]. FOREST ECOLOGY AND MANAGEMENT,2022,507:13.
APA Tang, Xuguang.,Xiao, Jingfeng.,Ma, Mingguo.,Yang, Hong.,Li, Xing.,...&Thompson, Julian R..(2022).Satellite evidence for China's leading role in restoring vegetation productivity over global karst ecosystems.FOREST ECOLOGY AND MANAGEMENT,507,13.
MLA Tang, Xuguang,et al."Satellite evidence for China's leading role in restoring vegetation productivity over global karst ecosystems".FOREST ECOLOGY AND MANAGEMENT 507(2022):13.

入库方式: OAI收割

来源:地理科学与资源研究所

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