Qunyue Liu , Zhiqian Lin , Taoyu Chen , Ni Zhang , Zubin Ye , Yourui Guo , Yaling Gao , Yuanping Shen , Weicong Fu , Yuanjing Wu
{"title":"基于种植强度的福州市都市农业蔬菜产量及碳减排效益估算","authors":"Qunyue Liu , Zhiqian Lin , Taoyu Chen , Ni Zhang , Zubin Ye , Yourui Guo , Yaling Gao , Yuanping Shen , Weicong Fu , Yuanjing Wu","doi":"10.1016/j.scs.2025.106860","DOIUrl":null,"url":null,"abstract":"<div><div>Urban agriculture (UA) can enhance food system resilience while reducing carbon emissions linked to long-distance food transport. Yet assessing its production potential and mitigation benefits across diverse planting scenarios remains challenging. This study develops an integrated framework that combines GIS-based land suitability analysis, multi-criteria decision making (MCDM), and the Denitrification-Decomposition (DNDC) model. Using Fuzhou, China as a case study, the framework identifies fragmented yet suitable spaces for UA and evaluates crop-specific trade-offs under intensive, semi-intensive, and extensive planting scenarios. The results reveal that suitable land within the urban core is scarce, with only 41.32 hm<sup>2</sup> (0.24%) classified as highly suitable, 139.82 hm<sup>2</sup> (0.81%) as moderately suitable, and 1509.74 hm<sup>2</sup> (8.7%) as slightly suitable. Scenario simulations show strong gradients in mitigation outcomes. Local vegetable cultivation could reduce CO₂ emissions by 586.14 t under intensive planting, 2569.46 t under semi-intensive planting, and 23,985 t under extensive planting each year. Lettuce provides the largest transport-related reductions, tomato combines strong sequestration potential with higher production emissions, and potato contributes modestly but supports dietary diversity. The study highlights the value of integrating crop growth, transport avoidance, and production emissions in a multi-scenario framework. The findings provide policy-relevant insights for scaling UA, including the promotion of semi-intensive strategies, targeted crop allocation, and supportive measures such as rooftop utilization rules, carbon-credit incentives, and electrified logistics. More broadly, the framework offers transferable tools for cities seeking to align food security with carbon neutrality goals.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106860"},"PeriodicalIF":12.0000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating the vegetable yield and carbon reduction benefits of urban agriculture in Fuzhou based on planting intensity\",\"authors\":\"Qunyue Liu , Zhiqian Lin , Taoyu Chen , Ni Zhang , Zubin Ye , Yourui Guo , Yaling Gao , Yuanping Shen , Weicong Fu , Yuanjing Wu\",\"doi\":\"10.1016/j.scs.2025.106860\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Urban agriculture (UA) can enhance food system resilience while reducing carbon emissions linked to long-distance food transport. Yet assessing its production potential and mitigation benefits across diverse planting scenarios remains challenging. This study develops an integrated framework that combines GIS-based land suitability analysis, multi-criteria decision making (MCDM), and the Denitrification-Decomposition (DNDC) model. Using Fuzhou, China as a case study, the framework identifies fragmented yet suitable spaces for UA and evaluates crop-specific trade-offs under intensive, semi-intensive, and extensive planting scenarios. The results reveal that suitable land within the urban core is scarce, with only 41.32 hm<sup>2</sup> (0.24%) classified as highly suitable, 139.82 hm<sup>2</sup> (0.81%) as moderately suitable, and 1509.74 hm<sup>2</sup> (8.7%) as slightly suitable. Scenario simulations show strong gradients in mitigation outcomes. Local vegetable cultivation could reduce CO₂ emissions by 586.14 t under intensive planting, 2569.46 t under semi-intensive planting, and 23,985 t under extensive planting each year. Lettuce provides the largest transport-related reductions, tomato combines strong sequestration potential with higher production emissions, and potato contributes modestly but supports dietary diversity. The study highlights the value of integrating crop growth, transport avoidance, and production emissions in a multi-scenario framework. The findings provide policy-relevant insights for scaling UA, including the promotion of semi-intensive strategies, targeted crop allocation, and supportive measures such as rooftop utilization rules, carbon-credit incentives, and electrified logistics. More broadly, the framework offers transferable tools for cities seeking to align food security with carbon neutrality goals.</div></div>\",\"PeriodicalId\":48659,\"journal\":{\"name\":\"Sustainable Cities and Society\",\"volume\":\"133 \",\"pages\":\"Article 106860\"},\"PeriodicalIF\":12.0000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Cities and Society\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210670725007334\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670725007334","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
Estimating the vegetable yield and carbon reduction benefits of urban agriculture in Fuzhou based on planting intensity
Urban agriculture (UA) can enhance food system resilience while reducing carbon emissions linked to long-distance food transport. Yet assessing its production potential and mitigation benefits across diverse planting scenarios remains challenging. This study develops an integrated framework that combines GIS-based land suitability analysis, multi-criteria decision making (MCDM), and the Denitrification-Decomposition (DNDC) model. Using Fuzhou, China as a case study, the framework identifies fragmented yet suitable spaces for UA and evaluates crop-specific trade-offs under intensive, semi-intensive, and extensive planting scenarios. The results reveal that suitable land within the urban core is scarce, with only 41.32 hm2 (0.24%) classified as highly suitable, 139.82 hm2 (0.81%) as moderately suitable, and 1509.74 hm2 (8.7%) as slightly suitable. Scenario simulations show strong gradients in mitigation outcomes. Local vegetable cultivation could reduce CO₂ emissions by 586.14 t under intensive planting, 2569.46 t under semi-intensive planting, and 23,985 t under extensive planting each year. Lettuce provides the largest transport-related reductions, tomato combines strong sequestration potential with higher production emissions, and potato contributes modestly but supports dietary diversity. The study highlights the value of integrating crop growth, transport avoidance, and production emissions in a multi-scenario framework. The findings provide policy-relevant insights for scaling UA, including the promotion of semi-intensive strategies, targeted crop allocation, and supportive measures such as rooftop utilization rules, carbon-credit incentives, and electrified logistics. More broadly, the framework offers transferable tools for cities seeking to align food security with carbon neutrality goals.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;