Ecological and Environmental Risk Warning Framework of Land Use/Cover Change for the Belt and Road Initiative
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作者:
He, Yinjie
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机构:
Chinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518057, Peoples R ChinaChinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518057, Peoples R China
He, Yinjie
[1
]
Wu, Dafang
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机构:
Guangzhou Univ, Sch Geog & Remote Sensing, Guangzhou 510006, Peoples R China
Peking Univ, Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R ChinaChinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518057, Peoples R China
Wu, Dafang
[2
,3
]
Li, Shuangcheng
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机构:
Peking Univ, Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R ChinaChinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518057, Peoples R China
Li, Shuangcheng
[3
]
Zhou, Ping
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机构:
Guangdong Acad Sci, Guangzhou Inst Geog, Guangzhou 510075, Guangdong, Peoples R ChinaChinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518057, Peoples R China
Zhou, Ping
[4
]
机构:
[1] Chinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518057, Peoples R China
[2] Guangzhou Univ, Sch Geog & Remote Sensing, Guangzhou 510006, Peoples R China
[3] Peking Univ, Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China
[4] Guangdong Acad Sci, Guangzhou Inst Geog, Guangzhou 510075, Guangdong, Peoples R China
Belt and Road Initiative" (BRI);
land use/cover change (LUCC);
ecological and environmental risk;
bivariate choropleth-multiple-criteria decision analysis (BC-MCDA);
geographic information system (GIS);
sustainable development goals (SDGs);
CHINA BELT;
ENERGY;
D O I:
10.3390/land13081281
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Land use/cover change(LUCC) has a significant impact on the ecological environment. Within the Belt and Road Initiative (BRI), as the largest cross-spatial cooperation initiative in human history, one of the core issues is how to scientifically and effectively use and manage the land in the region to prevent the destruction of important ecological and environmental resources. In order to reduce impact on the latter, in this study, we used the bivariate choropleth-multiple-criteria decision analysis (BC-MCDA) method based on the connotation of the sustainable development goals to construct an ecological and environmental risk warning framework. We found that in the study area, 10.51% of the land has high ecological and environmental risk and importance, corresponding to conflict zones, which require special attention. Conflict areas are mainly distributed in the Gangetic Plain in India, the plains in central and southern Cambodia, the Indonesian archipelago, and the southern coastal areas of China. Due to the uneven spatial distributions of population and important ecological and environmental resources, the pressure on this type of land use is very high. A share of 8.06% of the land has high risk-low importance, corresponding to economic development zones. Following years of human development, the ecological and environmental value of this type of land is low. A share of 58.75% of the land has low risk and importance, corresponding to wilderness areas. The natural climatic conditions of this type of land are relatively poor, often characterized by a cold climate or water scarcity, and the human interference index is low. A share of 22.68% of the land has low risk-high importance, corresponding to ecological conservation areas, which are the most important areas for ecological function services for humans at present. Finally, we proposed development suggestions for each type of land.
机构:
China Univ Geosci, Sch Foreign Languages, Wuhan 430074, Peoples R China
China Univ Geosci, Ctr Turkmenistan Studies, Wuhan 430074, Peoples R ChinaChina Univ Geosci, Sch Foreign Languages, Wuhan 430074, Peoples R China
Du, Xixi
Qin, Yi
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机构:
China Univ Geosci, Sch Foreign Languages, Wuhan 430074, Peoples R China
China Univ Geosci, Ctr Turkmenistan Studies, Wuhan 430074, Peoples R ChinaChina Univ Geosci, Sch Foreign Languages, Wuhan 430074, Peoples R China
Qin, Yi
Huang, Chunbo
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机构:
China Univ Geosci, Ctr Turkmenistan Studies, Wuhan 430074, Peoples R China
China Univ Geosci, Sch Geog & Informat Engn, State Key Lab Biogeol & Environm Geol, Wuhan 430074, Peoples R ChinaChina Univ Geosci, Sch Foreign Languages, Wuhan 430074, Peoples R China
机构:
Chinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R ChinaChinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
Yang, Aixia
Zhong, Bo
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机构:
Chinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R ChinaChinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
Zhong, Bo
Hu, Longfei
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机构:
Chinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R ChinaChinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
Hu, Longfei
Kai, Ao
论文数: 0引用数: 0
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机构:
Chinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R ChinaChinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
Kai, Ao
Li, Li
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机构:
Chinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R ChinaChinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
Li, Li
Zhao, Fei
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机构:
China Satellite Commun Co Ltd, Beijing 100190, Peoples R ChinaChinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
Zhao, Fei
Wu, Junjun
论文数: 0引用数: 0
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机构:
Chinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R ChinaChinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
机构:
Arizona State Univ, Ctr Environm Studies, Southwest Ctr Environm Res & Policy, Tempe, AZ 85287 USAArizona State Univ, Ctr Environm Studies, Southwest Ctr Environm Res & Policy, Tempe, AZ 85287 USA