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The governance of ecosystem services in river basins: An approach for structured data representation and analysis
Institution:1. Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel;2. Department of Physics, University of Cambridge, Cambridge, UK;3. Lunar and Planetary Laboratory, University of Arizona, Tucson, AZ, USA
Abstract:River basins provide a wide range of ecosystem services important for human well-being. Ecosystem functions and their value to humans have been thoroughly studied. However, the role of governance characteristics for the sustainable management of ecosystem services has been largely ignored up to now. To close this gap, this article introduces the latest modifications to a database building on the Management and Transition Framework (MTF) that serve to study the relationship between water governance and management systems and their performance with regard to impacts on ecosystem services. This comprehensive approach facilitates structured data collection and representation in order to analyze single case studies or compare case studies regarding the governance and management of water resources and associated ecosystem services. It allows the user to investigate whether certain water governance characteristics, such as stakeholder involvement or vertical integration of governance levels, are associated with a change in the management of ecosystem services or a measurable change in their state. A simplified case from South Africa shows how the database modifications allow addressing links between governance and management processes on the one side and ecosystem services and the way they are handled on the other side. Applying the MTF database leads to evidence-based insights into best practices as well as failed management approaches and interventions. This in turn provides knowledge that can be transferred from science to practice supporting sustainable governance of ecosystem services.
Keywords:Water governance  Ecosystem services  Management and transition framework  Relational database  South Africa
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