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Mapping social-ecological systems to understand the challenges underlying wildlife management
(Society and Wildlife)
(Society and Wildlife)
Umeå University, Faculty of Social Sciences, Department of Political Science. (Society and Wildlife ; Arcum)
2018 (English)In: Environmental Science and Policy, ISSN 1462-9011, E-ISSN 1873-6416, Vol. 84, p. 105-112Article in journal (Refereed) Published
Abstract [en]

A holistic understanding of the complex interactions between humans, wildlife, and habitats is essential for the design of sustainable wildlife policies. This challenging task requires innovative and interdisciplinary research approaches. Using the newly implemented ecosystem-based management of moose (Alces alces) in Sweden as a case, we applied Ostrom’s social-ecological system (SES) framework to analyse the challenges that wildlife management faces throughout the country. We combined data derived from natural and social science research to operationalize the framework in a quantitative way; an approach that enabled a spatially explicit analysis on the national and regional levels. This study aimed to discover patterns in the social-ecological context of Swedish moose management. Identifying these patterns can provide input for an in-depth evaluation of the institutional fit of the current system and subsequently for national policy development. Our SES maps suggest that there are spatial variations in factors challenging moose management. In some areas, ecological aspects such as the co-occurrence of carnivores and other ungulate species burdens future management, while in other regions challenges are shaped by governance aspects, e.g. diverse property rights. These findings demonstrate that the new management system must apply adaptive learning principles to respond to local context attributes in order to be successful. Our innovative approach provides a valuable tool for the assessment of other natural resource management issues and the avoidance of panacea traps, especially when repeated over time.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 84, p. 105-112
Keywords [en]
environmental governance, panacea trap, social-ecological fit, adaptive learning
National Category
Fish and Wildlife Management Political Science (excluding Public Administration Studies and Globalisation Studies)
Research subject
political science; biology
Identifiers
URN: urn:nbn:se:umu:diva-145893DOI: 10.1016/j.envsci.2018.03.007ISI: 000431157100014OAI: oai:DiVA.org:umu-145893DiVA, id: diva2:1191883
Available from: 2018-03-20 Created: 2018-03-20 Last updated: 2018-08-17Bibliographically approved

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Sandström, Camilla

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
More styles
Language
  • de-DE
  • en-GB
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  • nn-NB
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  • Other locale
More languages
Output format
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