College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China.
College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China; Zhejiang Provincial Key Laboratory of Subtropical Soil and Plant Nutrition, Zhejiang University, Hangzhou, 310058, China.
Environ Pollut. 2021 Mar 1;272:116001. doi: 10.1016/j.envpol.2020.116001. Epub 2020 Nov 7.
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: R = 0.60, n = 242; validation: R = 0.55, n = 104) and paddy fields (calibration: R = 0.70, n = 189; validation: R = 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.
农田氮(N)因人为过量添加而导致的流失是造成世界范围内非点源水污染的主要原因。了解区域尺度农田氮流失对于制定可持续农业氮管理和高效水氮污染控制策略至关重要。本研究通过荟萃分析量化了长江流域(YRB)旱地(n=570)和水田(n=434)的氮流失率,并确定了调控氮流失的主要因素。结果表明,旱地和水田的总氮(TN)流失率从上游到下游地区持续增加。径流量、土壤 N 含量和肥料添加率(化肥+有机肥)是调控旱地 TN 流失率变化的主要因素,而径流量和肥料添加率是水田的主要控制因素。纳入这些影响因素的多元回归模型能够有效预测旱地(校准:R=0.60,n=242;验证:R=0.55,n=104)和水田(校准:R=0.70,n=189;验证:R=0.85,n=82)的 TN 流失率。模型估计 2017 年 YRB 农田总氮流失负荷为 0.54(95%置信区间:0.23-1.33)Tg,其中旱地 0.30(95%置信区间:0.15-0.56)Tg,水田 0.24(95%置信区间:0.08-0.77)Tg。研究发现,YRB 的广西、江西、福建、湖南和河南是农田氮流失的热点地区。模型预测,在五个情景下,YRB 农田氮流失负荷将减少 0.8-13.7%,其中径流量减少的情景下氮流失负荷减少幅度更大。减少旱地 TN 流失应主要关注土壤 N 利用和径流量管理,而减少 N 肥料添加和径流量则是水田最敏感的策略。需要对水、土和肥料进行综合管理,以有效减少农田氮流失。