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Multilevel water, biodiversity and climate adaptation governance: evaluating adaptive management in Lesotho
- Source :
- Environmental Science & Policy. 13:637-647
- Publication Year :
- 2010
- Publisher :
- Elsevier BV, 2010.
-
Abstract
- In many cases in which climate change affects natural resources, impacts are uncertain and adaptation to climate change often involves collective action problems at the local level, which are embedded in multilevel governance regimes. Adaptive management (AM) is an emerging approach to deal with such uncertainty and complexity by promoting multilevel institutions that are robust to change and able to learn. Much of the literature evaluating AM in multilevel governance regimes, however, focuses only on the adherence to certain structural features said to make AM successful, leaving aside the question whether AM actually produces desired outcomes. This paper evaluates AM in multilevel regimes also in terms of the outcomes they produce. To this end, we first apply the Management and Transition Framework (MTF) in order to describe three multilevel regimes in Lesotho. For each regime we then observe whether it adheres to the structure features of AM. Finally, we evaluate the extent to which the outcomes, natural resource management projects, are conducive to Ostrom's (1990) ‘design principles’ for sustainable common-pool resource management. We find that, though no ideal ‘adaptive regime’ is found in Lesotho, the results confirm the AM hypotheses that decentralised decision-making, open information sources, and plurality of user interests lead to improved outcomes. Conversely, elements of the climate regime are found not to be adaptive. Our findings also confirm the appropriateness of AM as a governance approach to climate adaptation.
- Subjects :
- Multi-level governance
business.industry
Computer science
Corporate governance
Geography, Planning and Development
Environmental resource management
Management, Monitoring, Policy and Law
Environmental economics
Collective action
Natural resource
Adaptive management
Resource management
Natural resource management
Adaptation (computer science)
business
Subjects
Details
- ISSN :
- 14629011
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- Environmental Science & Policy
- Accession number :
- edsair.doi...........75702fcdfdef30b92351b08155049b2a