Participatory Modelling to Support Evaluation of Management Actions for Recreational Fisheries
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Le résumé fourni par la source
Abstract Participatory modelling (PM) is a collaborative problem-solving approach that involves shared learning through the development of a model or multiple models with a group of participants and a modelling team. PM has the potential to be used more frequently to address recreational fisheries problems. We focus on our experience working with small groups (usually <40 people) to address natural resource issues. This chapter focuses on building a PM team and the communications that occur before, during, and after a PM process. The participants usually include people like recreational and commercial fishers, members of environmental non-governmental organizations, and fishery managers or other decision makers. Ground rules, expectations, and end goals should be established early in the PM process. We emphasize that benefits arise from including the participants in the development and validation of the models in a process that includes feedback between the modellers and participants. Although participants are ideally involved in all stages, their inclusion during model development and testing can be critical for buy-in within the group. When the modellers listen carefully to participant concerns and respond to those concerns during model development, we have experienced favourable process outcomes such as improved participant engagement and building of trust.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Participatory Modelling to Support Evaluation of Management Actions for Recreational Fisheries
- Date Crossref
- 15/12/2025
- Éditeur
- Springer Nature Switzerland
- Type
- book-chapter
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of Maryland Center for Environmental Science Chesapeake Biological Laboratory pays non établi dans la noticeUniversité ou école supérieure
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United States Geological Survey pays non établi dans la noticeOrganisme public
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University of Georgia pays non établi dans la noticeUniversité ou école supérieure
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Michigan Department of Natural Resources pays non établi dans la noticeOrganisme public
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Michigan State University Department of Fisheries and Wildlife pays non établi dans la noticeUniversité ou école supérieure
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U.S. Geological Survey--Georgia Cooperative Fish and Wildlife Research Unit pays non établi dans la noticeStructure de recherche
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Warnell School of Forestry and Natural Resources pays non établi dans la noticeUniversité ou école supérieure
Chesapeake Biological Laboratory — University of Maryland Center for Environmental Science, United States Geological Survey et University of Georgia, avec 4 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.