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Forlagets udgivne version
Most European goose populations have increased exponentially, and this has increasingly brought them into conflict with human activities. To manage this conflict, we used multi-criteria decision analysis to help set population targets for a super-abundant population of greylag geese (Anser anser). We relied on expert elicitation to assess the consequences of varying goose abundance on nine ecological, economic, and societal objectives. Representatives from national governments and from non-governmental organizations then weighted the objectives based on their perceived relative importance, and we used a consensus-convergence model to reach stakeholder agreement on the tradeoffs among objectives. The preferred population targets for two management units represent about a 20% reduction from current abundances, which from a management perspective would require considerable effort above and beyond current population-control measures. We believe that multi-criteria decision analysis can provide a systematic and transparent framework for building consensus among diverse stakeholders in a wide array of human-wildlife conflicts.
Originalsprog | Engelsk |
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Tidsskrift | AMBIO |
Vol/bind | 51 |
Nummer | 1 |
Sider (fra-til) | 209-225 |
Antal sider | 17 |
ISSN | 0044-7447 |
DOI | |
Status | Udgivet - 2022 |
Funding Information:
We wish to thank the following experts for assisting with phase I of the MCDA: Mikko Alhainen, Mariano Rodríguez Alonso, Leo Bacon, Kevin Clausen, Johan Elmberg, Jordi Figuerola, Arne Follestad, Anthony Fox, Andy Green, Ove Martin Gundersen, Frank Huysentruyt, Kees Koffijberg, Johan Månsson, Blas Molina, Leif Nilsson, Jorma Pessa, Thibaut Powolny, Hans Schekkerman, Ingunn Tombre, Floris Verhaeghe, and one of our co-authors (JM). We also thank members of the EGMP International Working Group for providing their perceptions of the relative importance of the management objectives of greylag goose management. Finally, we appreciate the help of S. Dereliev and E. Meyers in coordinating the MCDA process with the EGMP International Working Group. Funding for this project was graciously provided by the Norwegian Environment Agency.
Publisher Copyright:
© 2021, The Author(s).
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
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