Decrypting spatiotemporal evolution and influencing factors of cultivated land use carbon compensation in the middle reaches of Yangtze River: An interpretable machine learning approach
Fields of Study & Subjects
Land Use and Ecosystem Services
Hydrology and Watershed Management Studies
Remote Sensing in Agriculture
Publication details
- Journal / source
- Journal for Nature Conservation
- Publisher
- Elsevier BV
- Volume
- 92
- Pages
- 127295–127295
- Publication date
- 9 April 2026
- Language
- EN