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A new assessment framework to forecast land use and carbon storage under different SSP-RCP scenarios in China.
Guo, Wei; Teng, Yongjia; Li, Jing; Yan, Yueguan; Zhao, Chuanwu; Li, Yongxing; Li, Xiang.
Affiliation
  • Guo W; College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China.
  • Teng Y; College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China; Qingdao Surveying & Mapping Institute, Qingdao 266000, China; Qingdao Key Laboratory for Integration and Application of Marine-terrestrial Geographical Information, Qingdao 266000
  • Li J; College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China.
  • Yan Y; College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China.
  • Zhao C; State Key Laboratory of Remote Sensing, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
  • Li Y; College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China.
  • Li X; Qingdao Surveying & Mapping Institute, Qingdao 266000, China; Qingdao Key Laboratory for Integration and Application of Marine-terrestrial Geographical Information, Qingdao 266000, China.
Sci Total Environ ; 912: 169088, 2024 Feb 20.
Article in En | MEDLINE | ID: mdl-38056670
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Total Environ Year: 2024 Document type: Article Affiliation country: China Country of publication: Países Bajos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Total Environ Year: 2024 Document type: Article Affiliation country: China Country of publication: Países Bajos