Estimation of nitrogen runoff loss from croplands in the Yangtze River Basin: A meta-analysis

• Published in: Environmental pollution (1987) 2021-03, Vol.272, p.116001, Article 116001
• Main Authors: Zhang, Yufu, Wu, Hao, Yao, Mengya, Zhou, Jia, Wu, Kaibin, Hu, Minpeng, Shen, Hong, Chen, Dingjiang
• Format: Article
• Language: English
• Subjects: Agriculture; China; Crops, Agricultural; Fertilizers; Nitrogen - analysis; Nitrogen runoff loss; Oryza; Paddy field; Phosphorus - analysis; Spatial assessment; Water pollution; Yangtze river basin
• ISSN: 0269-7491; 1873-6424
• DOI: 10.1016/j.envpol.2020.116001

Nitrogen (N) runoff loss from croplands due to excessive anthropogenic N additions is a principal cause of non-point source water pollution worldwide. Quantitative knowledge of regional-scale N runoff loss from croplands is essential for developing sustainable agricultural N management and efficient water N pollution control strategies. This meta-analysis quantifies N runoff loss rates and identifies the primary factors regulating N runoff loss from uplands (n = 570) and paddy (n = 434) fields in the Yangtze River Basin (YRB). Results indicated that total N (TN) runoff loss rates from uplands and paddy fields consistently increased from upstream to downstream regions. Runoff depth, soil N content and fertilizer addition rate (chemical fertilizer + manure) were the major factors regulating variability of TN runoff loss from uplands, while runoff depth and fertilizer addition rate were the main controls for paddy fields. Multiple regression models incorporating these influencing factors effectively predicted TN runoff loss rates from uplands (calibration: R2 = 0.60, n = 242; validation: R2 = 0.55, n = 104) and paddy fields (calibration: R2 = 0.70, n = 189; validation: R2 = 0.85, n = 82). Models estimated total cropland TN runoff loss load in YRB of 0.54 (95% Cl: 0.23–1.33) Tg, with 0.30 (95% Cl: 0.15–0.56) Tg from uplands and 0.24 (95% Cl: 0.08–0.77) Tg from paddy fields in 2017. Guangxi, Jiangxi, Fujian, Hunan and Henan provinces within the YRB were identified as cropland TN runoff loss hotspots. Models predicted that TN runoff loss loads from croplands in YRB would decrease by 0.8–13.7% for five scenarios, with higher TN load reductions occurring from scenarios with decreased runoff amounts. Reducing upland TN runoff loss should focus primarily on soil N utilization and runoff management, while reducing N fertilizer addition and runoff provided the most sensitive strategies for paddy fields. Integrated management of water, soil and fertilizer is required to effectively reduce cropland N runoff loss. [Display omitted] •Upland N runoff loss regulated by runoff depth, soil N and N fertilization levels.•Paddy field N runoff loss regulated by runoff depth and N fertilization rate.•Regression models incorporating these influencing factors had reasonable accuracies.•Model-estimated cropland N runoff loss load in YRB for 2017 was 0.54 Tg N yr−1.•Reducing N runoff loss requires integrated water, soil and fertilizer managements. Nitrogen runoff loss load and its dri