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Setting population-size targets for geese causing socio-economic conflicts
- Source :
- Ambio, Johnson, F A, Heldbjerg, H, Nagy, S & Madsen, J 2022, ' Setting population-size targets for geese causing socio-economic conflicts ', AMBIO, vol. 51, no. 1, pp. 209-225 . https://doi.org/10.1007/s13280-021-01539-5
- Publication Year :
- 2020
-
Abstract
- 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.
- Subjects :
- Conflict
Geography, Planning and Development
Population
Animals, Wild
Anser anser
Goose
Stakeholders
Consensus-convergence model
Multi-criteria decision analysis
biology.animal
Geese
Environmental Chemistry
Animals
Humans
education
Environmental planning
Population Density
education.field_of_study
Ecology
biology
Population size
Stakeholder
Expert elicitation
General Medicine
Multiple-criteria decision analysis
Objectives
Geography
Socioeconomic Factors
Decision analysis
Research Article
Subjects
Details
- ISSN :
- 16547209
- Volume :
- 51
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Ambio
- Accession number :
- edsair.doi.dedup.....7144f76e3fee953066d0e3a0875050cf
- Full Text :
- https://doi.org/10.1007/s13280-021-01539-5