{"title":"渔业社会生态系统的供应网络:对网络方法的系统回顾","authors":"","doi":"10.1016/j.ecolecon.2024.108394","DOIUrl":null,"url":null,"abstract":"<div><div>A fishery supply network (FSN) is a complex system involving different stakeholders interacting through various processes, which presents challenges for monitoring and management. The network approach enables a comprehensive understanding of FSNs by analyzing interactions and dynamics among actors and processes, facilitating effective management. A systematic review of the scientific literature was conducted to identify the contributions and advances that the network approach has triggered in FSN studies. An upward trend in papers published yearly over the past twenty years was identified, focusing on system dynamics, traceability, management, market influences, environmental impacts, and governance. Advancements include understanding how relationships between actors influence system performance and highlighting stakeholder involvement's critical role in collaborative solutions. The main limitations identified are data collection and availability, the infrequency of linking social and ecological systems, and the complexity of building dynamics models. Despite these challenges, the network approach is indispensable for better understanding FSNs and driving sustainable management and conservation initiatives. Finally, we propose five best practices for FSN studies, including 1) mapping actors or processes, 2) enhancing data collection, 3) network modeling, 4) scenario evaluation, and 5) ethical considerations. Also, several recommendations for future research on FSNs are discussed.</div></div>","PeriodicalId":51021,"journal":{"name":"Ecological Economics","volume":null,"pages":null},"PeriodicalIF":6.6000,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Supply networks of fisheries social-ecological systems: A systematic review of the network approach\",\"authors\":\"\",\"doi\":\"10.1016/j.ecolecon.2024.108394\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A fishery supply network (FSN) is a complex system involving different stakeholders interacting through various processes, which presents challenges for monitoring and management. The network approach enables a comprehensive understanding of FSNs by analyzing interactions and dynamics among actors and processes, facilitating effective management. A systematic review of the scientific literature was conducted to identify the contributions and advances that the network approach has triggered in FSN studies. An upward trend in papers published yearly over the past twenty years was identified, focusing on system dynamics, traceability, management, market influences, environmental impacts, and governance. Advancements include understanding how relationships between actors influence system performance and highlighting stakeholder involvement's critical role in collaborative solutions. The main limitations identified are data collection and availability, the infrequency of linking social and ecological systems, and the complexity of building dynamics models. Despite these challenges, the network approach is indispensable for better understanding FSNs and driving sustainable management and conservation initiatives. Finally, we propose five best practices for FSN studies, including 1) mapping actors or processes, 2) enhancing data collection, 3) network modeling, 4) scenario evaluation, and 5) ethical considerations. Also, several recommendations for future research on FSNs are discussed.</div></div>\",\"PeriodicalId\":51021,\"journal\":{\"name\":\"Ecological Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2024-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S092180092400291X\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S092180092400291X","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
Supply networks of fisheries social-ecological systems: A systematic review of the network approach
A fishery supply network (FSN) is a complex system involving different stakeholders interacting through various processes, which presents challenges for monitoring and management. The network approach enables a comprehensive understanding of FSNs by analyzing interactions and dynamics among actors and processes, facilitating effective management. A systematic review of the scientific literature was conducted to identify the contributions and advances that the network approach has triggered in FSN studies. An upward trend in papers published yearly over the past twenty years was identified, focusing on system dynamics, traceability, management, market influences, environmental impacts, and governance. Advancements include understanding how relationships between actors influence system performance and highlighting stakeholder involvement's critical role in collaborative solutions. The main limitations identified are data collection and availability, the infrequency of linking social and ecological systems, and the complexity of building dynamics models. Despite these challenges, the network approach is indispensable for better understanding FSNs and driving sustainable management and conservation initiatives. Finally, we propose five best practices for FSN studies, including 1) mapping actors or processes, 2) enhancing data collection, 3) network modeling, 4) scenario evaluation, and 5) ethical considerations. Also, several recommendations for future research on FSNs are discussed.
期刊介绍:
Ecological Economics is concerned with extending and integrating the understanding of the interfaces and interplay between "nature''s household" (ecosystems) and "humanity''s household" (the economy). Ecological economics is an interdisciplinary field defined by a set of concrete problems or challenges related to governing economic activity in a way that promotes human well-being, sustainability, and justice. The journal thus emphasizes critical work that draws on and integrates elements of ecological science, economics, and the analysis of values, behaviors, cultural practices, institutional structures, and societal dynamics. The journal is transdisciplinary in spirit and methodologically open, drawing on the insights offered by a variety of intellectual traditions, and appealing to a diverse readership.
Specific research areas covered include: valuation of natural resources, sustainable agriculture and development, ecologically integrated technology, integrated ecologic-economic modelling at scales from local to regional to global, implications of thermodynamics for economics and ecology, renewable resource management and conservation, critical assessments of the basic assumptions underlying current economic and ecological paradigms and the implications of alternative assumptions, economic and ecological consequences of genetically engineered organisms, and gene pool inventory and management, alternative principles for valuing natural wealth, integrating natural resources and environmental services into national income and wealth accounts, methods of implementing efficient environmental policies, case studies of economic-ecologic conflict or harmony, etc. New issues in this area are rapidly emerging and will find a ready forum in Ecological Economics.