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.

大多数欧洲鹅的数量呈指数增长，这使它们越来越多地与人类活动发生冲突。为了管理这种冲突，我们使用多标准决策分析来帮助为超丰富的灰雁种群 ( Anser anser）。我们依靠专家启发来评估不同鹅丰度对九个生态、经济和社会目标的影响。来自国家政府和非政府组织的代表然后根据他们感知的相对重要性对目标进行加权，我们使用共识收敛模型就目标之间的权衡达成利益相关者的协议。两个管理单位的首选种群目标比目前的丰度减少了约 20%，从管理的角度来看，这需要付出超出当前种群控制措施的相当大的努力。我们相信，多标准决策分析可以提供一个系统和透明的框架，以在广泛的人类与野生动物冲突中在不同利益相关者之间建立共识。