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Adaptive management intentions with a reality of evaluation: Getting science back into policy
Institution:1. Natural Resources Canada: Canadian Forest Service, Northern Forestry Centre, 5320 –122 Street, Edmonton, Alberta T6H 3S5, Canada;2. Department of Renewable Resources, 751 General Services Building, University of Alberta, Edmonton, Alberta T6G 2H1, Canada;1. Technical University of Dortmund, Vogelpothsweg 87, 44227, Dortmund, Germany;2. University of Melbourne, Parkville VIC, 3010, Australia;3. CSIRO Land and Water Flagship, Research Way, Clayton VIC, 3168, Australia;1. Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC, Canada, V6T 1Z4;2. Ecosystem-based Management of Marine Resources, Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, PO Box 24885, 13109 Safat, Kuwait
Abstract:In Australia’s Murray-Darling Basin water reform has been contentious as government attempts to reconcile historical over allocation of water to irrigation with the use of water for environmental outcomes. However, in many aspects, scientific knowledge of the environment is either imperfect, incomplete or environmental responses are unpredictable, with this uncertainty preventing definitive policy and closure of political arguments. In response to uncertainty and knowledge gaps, adaptive management has been written into the legislation, along with provisions for periodic evaluation.This research ascertains how adaptive management is understood by policy makers, with this indicative of future implementation of adaptive management. The way in which adaptive management is constructed by policy makers is determined through legislation, public speeches, government reports and semi-structured interviews. The findings demonstrate that adaptive management has been subsumed by evaluation. The loss of adaptive management as a distinct concept is seen as a loss of science and discovery from the policy process, with the dominance of evaluation discussed as limiting innovation and reinforcing a ‘muddling through’ of policy.
Keywords:Adaptive management  Evaluation  Science  Uncertainty  Accountability
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