{"title":"Spatially targeted nitrogen management in a coastal megaregion: A hybrid framework from food production-consumption to source-sink relationships","authors":"Chenning Deng , Zeqian Zhang , Keke Zhao , Qiuheng Zhu , Chunjian Lyu , Yifan Wu , Chunbo Jiang , Yuxuan Zhang , Dingzhi Peng , Chaozheng Zhang","doi":"10.1016/j.resenv.2026.100304","DOIUrl":null,"url":null,"abstract":"<div><div>Sustainable nitrogen (N) management is urgently needed in coastal megaregions, yet a systematic understanding of the spatial drivers of N losses, linking metabolic inefficiencies (“sources”) to landscape-driven transport (“sinks”), remains lacking. We address this gap by integrating Substance Flow Analysis, Minimum Cumulative Resistance modeling, and convergence analysis to quantify N flows and efficiency across nine cities in the Shanghai Metropolitan Area (2011-2020). Results revealed that nitrogen losses occurred predominantly through atmospheric dispersion (45.6%) and surface water (39.8%), with high spatial variability linked to landscape resistance and subsystem metabolism. Significant spatial convergence (a narrowing of efficiency gaps among cities) was observed in crop (−0.271, <em>p</em> < 0.05, <em>t</em><sub><em>life</em></sub> = 19.736) and aquaculture (−0.376, <em>p</em> < 0.01, <em>t</em><sub><em>life</em></sub> = 13.228) nitrogen use efficiency, whereas livestock and recycling systems exhibited divergent trends (a widening of gaps), reflecting uneven regional coordination. This hybrid framework uniquely links metabolic performance to landscape-mediated risk patterns, diagnosing why hotspots emerge. This provides a systemic basis for spatially differentiated management, underscoring that sustainable N governance in coastal megaregions requires concurrently optimizing system metabolism and ecological connectivity.</div></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"24 ","pages":"Article 100304"},"PeriodicalIF":9.2000,"publicationDate":"2026-03-01","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/S2666916126000174","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/5 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Sustainable nitrogen (N) management is urgently needed in coastal megaregions, yet a systematic understanding of the spatial drivers of N losses, linking metabolic inefficiencies (“sources”) to landscape-driven transport (“sinks”), remains lacking. We address this gap by integrating Substance Flow Analysis, Minimum Cumulative Resistance modeling, and convergence analysis to quantify N flows and efficiency across nine cities in the Shanghai Metropolitan Area (2011-2020). Results revealed that nitrogen losses occurred predominantly through atmospheric dispersion (45.6%) and surface water (39.8%), with high spatial variability linked to landscape resistance and subsystem metabolism. Significant spatial convergence (a narrowing of efficiency gaps among cities) was observed in crop (−0.271, p < 0.05, tlife = 19.736) and aquaculture (−0.376, p < 0.01, tlife = 13.228) nitrogen use efficiency, whereas livestock and recycling systems exhibited divergent trends (a widening of gaps), reflecting uneven regional coordination. This hybrid framework uniquely links metabolic performance to landscape-mediated risk patterns, diagnosing why hotspots emerge. This provides a systemic basis for spatially differentiated management, underscoring that sustainable N governance in coastal megaregions requires concurrently optimizing system metabolism and ecological connectivity.