{"title":"中国小麦系统氮素命运的空间分异:区域管理的元分析和机器学习路线图","authors":"Yan'ge Yan , Shuiqin Zhang , Yingqiang Zhang , Meng Xu , Jiukai Xu , Yanting Li , Bingqiang Zhao , Liang Yuan","doi":"10.1016/j.resenv.2025.100270","DOIUrl":null,"url":null,"abstract":"<div><div>Optimizing crop productivity while mitigating pollution requires a system-wide understanding of nitrogen (N) fertilizer fate and its loss pathways. However, regional variability in N fate and its linkage to yield response in China's wheat systems remains poorly quantified. We collected 4077 observations to analyze the effects of N fertilizer management, climate, and soil properties on wheat yield, N fate, and reactive nitrogen (Nr) losses using meta-analysis and machine learning. At the national scale, wheat yield increased by 65.40 % with N fertilization, with applied N partitioned into 41.56 % uptake, 29.66 % residual, and 38.81 % losses. The Nr losses comprised NH<sub>3</sub> (9.35 %), N<sub>2</sub>O (0.73 %), NO (0.38 %), leaching (7.38 %), and runoff (4.68 %). At the regional scale, N uptake exhibited an increasing trend from north to south, whereas N residual and N loss gradually decreased. NH<sub>3</sub> volatilization accounted for 91.76 % of total N loss in northern China (NC). In central China (CC), NH<sub>3</sub> constituted 53.45 % of the losses, with N leaching accounting for 41.38 %. By contrast, southern China (SC) showed a more even distribution of losses across pathways. N application rate was the key determinant of N fate, whereas pH, mean annual precipitation, mean annual temperature, and bulk density had the greatest influence on Nr losses. Nationally, N uptake was the dominant driver of yield response, accounting for 54.06 % of the variation. Regionally, uptake remained the key factor in CC (37.83 %), whereas NC (27.33 % uptake; 16.09 % loss) and SC (15.20 % uptake; 12.37 % loss) showed substantial sensitivity to N loss. N residual had minimal impact in most regions but was significant in CC (11.66 %). Enhancing nitrogen uptake is the top priority in increasing wheat yield across different regions of China, while the role of fertilizer N loss and residual regionally varied. Accordingly, N management should prioritize loss reduction in NC and SC, and residual management in CC.</div></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"22 ","pages":"Article 100270"},"PeriodicalIF":7.8000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial divergence of nitrogen fate in China's wheat systems: a meta-analysis and machine-learning roadmap for region-specific management\",\"authors\":\"Yan'ge Yan , Shuiqin Zhang , Yingqiang Zhang , Meng Xu , Jiukai Xu , Yanting Li , Bingqiang Zhao , Liang Yuan\",\"doi\":\"10.1016/j.resenv.2025.100270\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Optimizing crop productivity while mitigating pollution requires a system-wide understanding of nitrogen (N) fertilizer fate and its loss pathways. However, regional variability in N fate and its linkage to yield response in China's wheat systems remains poorly quantified. We collected 4077 observations to analyze the effects of N fertilizer management, climate, and soil properties on wheat yield, N fate, and reactive nitrogen (Nr) losses using meta-analysis and machine learning. At the national scale, wheat yield increased by 65.40 % with N fertilization, with applied N partitioned into 41.56 % uptake, 29.66 % residual, and 38.81 % losses. The Nr losses comprised NH<sub>3</sub> (9.35 %), N<sub>2</sub>O (0.73 %), NO (0.38 %), leaching (7.38 %), and runoff (4.68 %). At the regional scale, N uptake exhibited an increasing trend from north to south, whereas N residual and N loss gradually decreased. NH<sub>3</sub> volatilization accounted for 91.76 % of total N loss in northern China (NC). In central China (CC), NH<sub>3</sub> constituted 53.45 % of the losses, with N leaching accounting for 41.38 %. By contrast, southern China (SC) showed a more even distribution of losses across pathways. N application rate was the key determinant of N fate, whereas pH, mean annual precipitation, mean annual temperature, and bulk density had the greatest influence on Nr losses. Nationally, N uptake was the dominant driver of yield response, accounting for 54.06 % of the variation. Regionally, uptake remained the key factor in CC (37.83 %), whereas NC (27.33 % uptake; 16.09 % loss) and SC (15.20 % uptake; 12.37 % loss) showed substantial sensitivity to N loss. N residual had minimal impact in most regions but was significant in CC (11.66 %). Enhancing nitrogen uptake is the top priority in increasing wheat yield across different regions of China, while the role of fertilizer N loss and residual regionally varied. Accordingly, N management should prioritize loss reduction in NC and SC, and residual management in CC.</div></div>\",\"PeriodicalId\":34479,\"journal\":{\"name\":\"Resources Environment and Sustainability\",\"volume\":\"22 \",\"pages\":\"Article 100270\"},\"PeriodicalIF\":7.8000,\"publicationDate\":\"2025-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Resources Environment and Sustainability\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666916125000829\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resources Environment and Sustainability","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666916125000829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Spatial divergence of nitrogen fate in China's wheat systems: a meta-analysis and machine-learning roadmap for region-specific management
Optimizing crop productivity while mitigating pollution requires a system-wide understanding of nitrogen (N) fertilizer fate and its loss pathways. However, regional variability in N fate and its linkage to yield response in China's wheat systems remains poorly quantified. We collected 4077 observations to analyze the effects of N fertilizer management, climate, and soil properties on wheat yield, N fate, and reactive nitrogen (Nr) losses using meta-analysis and machine learning. At the national scale, wheat yield increased by 65.40 % with N fertilization, with applied N partitioned into 41.56 % uptake, 29.66 % residual, and 38.81 % losses. The Nr losses comprised NH3 (9.35 %), N2O (0.73 %), NO (0.38 %), leaching (7.38 %), and runoff (4.68 %). At the regional scale, N uptake exhibited an increasing trend from north to south, whereas N residual and N loss gradually decreased. NH3 volatilization accounted for 91.76 % of total N loss in northern China (NC). In central China (CC), NH3 constituted 53.45 % of the losses, with N leaching accounting for 41.38 %. By contrast, southern China (SC) showed a more even distribution of losses across pathways. N application rate was the key determinant of N fate, whereas pH, mean annual precipitation, mean annual temperature, and bulk density had the greatest influence on Nr losses. Nationally, N uptake was the dominant driver of yield response, accounting for 54.06 % of the variation. Regionally, uptake remained the key factor in CC (37.83 %), whereas NC (27.33 % uptake; 16.09 % loss) and SC (15.20 % uptake; 12.37 % loss) showed substantial sensitivity to N loss. N residual had minimal impact in most regions but was significant in CC (11.66 %). Enhancing nitrogen uptake is the top priority in increasing wheat yield across different regions of China, while the role of fertilizer N loss and residual regionally varied. Accordingly, N management should prioritize loss reduction in NC and SC, and residual management in CC.