首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Identifying key needs for the integration of social–ecological outcomes in arctic wildlife monitoring
Authors:Helen C Wheeler  Dominique Berteaux  Chris Furgal  Kevin Cazelles  Nigel G Yoccoz  David Grémillet
Institution:1. Canada Research Chair on Northern Biodiversity and Centre for Northern Studies, Université du Québec à Rimouski, 300 Allée des Ursulines, Rimouski, QC, G5L 3A1 Canada;2. Indigenous Environmental Studies and Sciences, Trent University, 1600 West Bank Drive, Peterborough, ON, K9L 0G2 Canada;3. Department of Integrative Biology, University of Guelph, 50 Stone Rd E, Guelph, ON, N1G 2W1 Canada;4. Department of Arctic and Marine Biology, UiT the Arctic University of Norway, Postboks 6050 Langnes, Tromsø, 9037 Norway;5. Centre d'Ecologie Fonctionnelle et Evolutive, UMR 5175, Centre National de la Recherche Scientifique - Université de Montpellier - Université Paul-Valéry Montpellier - EPHE, 1919 route de Mende, Montpellier, 34090 France

Department of Science and Technology - National Research Foundation Centre of Excellence, Percy FitzPatrick Institute, University of Cape Town, Rondebosch, South Africa

Abstract:For effective monitoring in social–ecological systems to meet needs for biodiversity, science, and humans, desired outcomes must be clearly defined and routes from direct to derived outcomes understood. The Arctic is undergoing rapid climatic, ecological, social, and economic changes and requires effective wildlife monitoring to meet diverse stakeholder needs. To identify stakeholder priorities concerning desired outcomes of arctic wildlife monitoring, we conducted in-depth interviews with 29 arctic scientists, policy and decision makers, and representatives of indigenous organizations and nongovernmental organizations. Using qualitative content analysis, we identified and defined desired outcomes and documented links between outcomes. Using network analysis, we investigated the structure of perceived links between desired outcomes. We identified 18 desired outcomes from monitoring and classified them as either driven by monitoring information, monitoring process, or a combination of both. Highly cited outcomes were make decisions, conserve, detect change, disseminate, and secure food. These reflect key foci of arctic monitoring. Infrequently cited outcomes (e.g., govern) were emerging themes. Three modules comprised our outcome network. The modularity highlighted the low strength of perceived links between outcomes that were primarily information driven or more derived (e.g., detect change, make decisions, conserve, or secure food) and outcomes that were primarily process driven or more derived (e.g., cooperate, learn, educate). The outcomes expand monitoring community and disseminate created connections between these modules. Key desired outcomes are widely applicable to social–ecological systems within and outside the Arctic, particularly those with wildlife subsistence economies. Attributes and motivations associated with outcomes can guide development of integrated monitoring goals for biodiversity conservation and human needs. Our results demonstrated the disconnect between information- and process-driven goals and how expansion of the monitoring community and improved integration of monitoring stakeholders will help connect information- and process-derived outcomes for effective ecosystem stewardship.
Keywords:adaptive management  climate change  network analysis  scientific monitoring  stakeholders  traditional knowledge  accionistas  análisis de redes  cambio climático  conocimiento tradicional  manejo adaptativo  monitoreo científico  适应性管理  气候变化  网络分析  科学监测  利益相关者  传统知识
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号