TY  - Data
T1  - Mitigating nitrogen losses during extremely wet years
A1  - Liu Wenfeng
DO  - 10.12072/ncdc.ecology.db7319.2026
PY  - 2026
DA  - 2026-05-11
PB  - National Cryosphere Desert Data Center
AB  - Climate change causes abnormal precipitation in extremely humid years, resulting in significant nitrogen loss and incorporation into aquatic ecosystems. This dataset integrates multiple global datasets, based on mature crop models and machine learning methods, to generate a dataset for reducing nitrogen loss under extreme humid conditions in wet years. It includes the original data source of the main text of the paper and charts, which can be used to explain climate extreme adaptive nitrogen regulation strategies (CLEANS), providing support for global scale nitrogen loss prevention and control, and has important reference value for ensuring food security and maintaining sustainable development of the global environment.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/7d0c066c-0f9c-4897-a66f-088114085c4d
ER  -