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E&S Home > Vol. 22, Iss. 3 > Art. 19 > Abstract Open Access Publishing 
Diagnosing adaptive comanagement across multiple cases

Ryan Plummer, Environmental Sustainability Research Centre, Brock University; Stockholm Resilience Centre, Stockholm University, Sweden
Julia Baird, Environmental Sustainability Research Centre, Brock University; Department of Geography and Tourism Studies, Brock University
Derek Armitage, Environmental Change and Governance Group, School of Environment, Resources and Sustainability, University of Waterloo
Örjan Bodin, Stockholm Resilience Centre, Stockholm University, Sweden
Lisen Schultz, Stockholm Resilience Centre, Stockholm University, Sweden


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Adaptive comanagement is at an important cross-road: different research paths forward are possible, and a diagnostic approach has been identified as a promising one. Accordingly, we operationalize a diagnostic approach, using a framework, to set a new direction for adaptive comanagement research. We set out three main first-tier variables: antecedents, process, and outcomes, and these main variables are situated within a fourth: the setting. Within each of these variables, significant depth of study may be achieved by investigating second- and third-tier variables. Causal relationships among variables, and particularly related to the outcomes of adaptive comanagement, may also be investigated at varying depths using the diagnostic framework and associated nomenclature. We believe that the diagnostic approach we describe offers a unifying methodological approach to advancing adaptive comanagement research as well as similar approaches. There are significant benefits to be gained, including building a database of case studies using this common framework, advancing theory, and ultimately, improving social and ecological outcomes.

Key words

adaptive comanagement; biosphere reserves; diagnostic framework; methods and measurements

Copyright © 2017 by the author(s). Published here under license by The Resilience Alliance. This article is under a Creative Commons Attribution-NonCommercial 4.0 International License. You may share and adapt the work for noncommercial purposes provided the original author and source are credited, you indicate whether any changes were made, and you include a link to the license.

Ecology and Society. ISSN: 1708-3087