François Vendel , Oleksandr Zaitsev , Pierre Bommel , Ibra Touré , Jean-Daniel Cesaro , Penda Diop , Marieme Fall Ba , Tamsir Mbaye , Etienne Delay
{"title":"变化的痕迹:通过参与式模拟,污名如何映射同伴建模中的社会学习循环","authors":"François Vendel , Oleksandr Zaitsev , Pierre Bommel , Ibra Touré , Jean-Daniel Cesaro , Penda Diop , Marieme Fall Ba , Tamsir Mbaye , Etienne Delay","doi":"10.1016/j.jenvman.2025.125292","DOIUrl":null,"url":null,"abstract":"<div><div>This study explored integrating stigmergy in Companion Modeling (ComMod) to enhance social learning loops (SLL) in participatory natural resource management. Taking a case study from the Ferlo region of Senegal, the research focuses on how stigmergy – a concept derived from biology involving indirect coordination through environmental traces – stimulates and documents cognitive, normative, and relational changes among stakeholders. By leaving digital traces during the iterative development of an Agent-Based Model (ABM), stigmergy support participants in co-constructing the model representing local agro-sylvo-pastoral dynamics. The paper highlights the role of stigmergy in fostering trust, knowledge sharing, and collaboration among diverse stakeholders and research team in a ComMod process, helping to refine the collective strategies aimed at sustainable land management. This research showed that stigmergic imprints can be used as a tool for monitor how learning and model development evolve during iterative modeling workshops, contributing to more adaptive and resilient resource governance strategies.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125292"},"PeriodicalIF":8.4000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Trace of change: How stigmergy maps social learning loops in Companion Modeling through participatory simulation\",\"authors\":\"François Vendel , Oleksandr Zaitsev , Pierre Bommel , Ibra Touré , Jean-Daniel Cesaro , Penda Diop , Marieme Fall Ba , Tamsir Mbaye , Etienne Delay\",\"doi\":\"10.1016/j.jenvman.2025.125292\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study explored integrating stigmergy in Companion Modeling (ComMod) to enhance social learning loops (SLL) in participatory natural resource management. Taking a case study from the Ferlo region of Senegal, the research focuses on how stigmergy – a concept derived from biology involving indirect coordination through environmental traces – stimulates and documents cognitive, normative, and relational changes among stakeholders. By leaving digital traces during the iterative development of an Agent-Based Model (ABM), stigmergy support participants in co-constructing the model representing local agro-sylvo-pastoral dynamics. The paper highlights the role of stigmergy in fostering trust, knowledge sharing, and collaboration among diverse stakeholders and research team in a ComMod process, helping to refine the collective strategies aimed at sustainable land management. This research showed that stigmergic imprints can be used as a tool for monitor how learning and model development evolve during iterative modeling workshops, contributing to more adaptive and resilient resource governance strategies.</div></div>\",\"PeriodicalId\":356,\"journal\":{\"name\":\"Journal of Environmental Management\",\"volume\":\"383 \",\"pages\":\"Article 125292\"},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2025-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Environmental Management\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S030147972501268X\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S030147972501268X","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Trace of change: How stigmergy maps social learning loops in Companion Modeling through participatory simulation
This study explored integrating stigmergy in Companion Modeling (ComMod) to enhance social learning loops (SLL) in participatory natural resource management. Taking a case study from the Ferlo region of Senegal, the research focuses on how stigmergy – a concept derived from biology involving indirect coordination through environmental traces – stimulates and documents cognitive, normative, and relational changes among stakeholders. By leaving digital traces during the iterative development of an Agent-Based Model (ABM), stigmergy support participants in co-constructing the model representing local agro-sylvo-pastoral dynamics. The paper highlights the role of stigmergy in fostering trust, knowledge sharing, and collaboration among diverse stakeholders and research team in a ComMod process, helping to refine the collective strategies aimed at sustainable land management. This research showed that stigmergic imprints can be used as a tool for monitor how learning and model development evolve during iterative modeling workshops, contributing to more adaptive and resilient resource governance strategies.
期刊介绍:
The Journal of Environmental Management is a journal for the publication of peer reviewed, original research for all aspects of management and the managed use of the environment, both natural and man-made.Critical review articles are also welcome; submission of these is strongly encouraged.