Setting population-size targets for geese causing socio-economic conflicts.

Conflict Consensus-convergence model Geese Multi-criteria decision analysis Objectives Stakeholders

Journal

Ambio
ISSN: 1654-7209
Titre abrégé: Ambio
Pays: Sweden
ID NLM: 0364220

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 12 11 2020
accepted: 05 02 2021
revised: 03 02 2021
pubmed: 31 3 2021
medline: 15 12 2021
entrez: 30 3 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33782852
doi: 10.1007/s13280-021-01539-5
pii: 10.1007/s13280-021-01539-5
pmc: PMC8651891
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

209-225

Informations de copyright

© 2021. The Author(s).

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Auteurs

Fred A Johnson (FA)

Department of Bioscience - Kalø, Aarhus University, Grenåvej 14, 8410, Rønde, Denmark. fred.johnson@bios.au.dk.

Henning Heldbjerg (H)

Department of Bioscience - Kalø, Aarhus University, Grenåvej 14, 8410, Rønde, Denmark.

Szabolcs Nagy (S)

Wetlands International, P.O. Box 471, 6700AL, Wageningen, The Netherlands.

Jesper Madsen (J)

Department of Bioscience - Kalø, Aarhus University, Grenåvej 14, 8410, Rønde, Denmark.

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