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• W1970070689 abstract "Ecosystem sustainable management, and the underlying decision-making process, generally requires the analysis of ecological, social and economic information, integrating both value judgements and policy goals. Since this process can be regarded as complex and tricky, natural resource management requires a well-structured and transparent decision-making process. In this regard, it is necessary to search for and implement sets of measures which can effectively solve emerging problems. Based on the assumption that decisions concerning the management of watersheds may imply trade-offs between their different functions, the intent was to test if software tools, such as MULINO, could be used to enhance multi-level governance of ecosystems. To achieve this, the DPSIR and MCA were incorporated, to analyze and quantify the explicit trade-offs between several types of services provided by estuarine ecosystems and stakeholder objectives. The Mondego Estuary (Portugal) was used as case study. This system is under constant pressure, from both natural and anthropogenic drivers. Urban expansion and tourism were identified as having a strong impact on system development, while agriculture, although declining, had a determinant role in the system’s status. The study evaluated potential alternatives focusing on the water quality improvement goals that could be designed for the system. The MCA ranked several alternatives and pinpointed as the ʺbestʺ option the alternative that combines buffer zones, eco-tourism enhancement, wastewater treatment plant development, the Murraceira trademark and bivalves bio-control. This analysis allowed a simplification of several management objectives; nonetheless, further tests are still required to understand the real connection between these outcomes and decision-makers." @default.
• W1970070689 created "2016-06-24" @default.
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• W1970070689 date "2014-03-01" @default.
• W1970070689 modified "2023-09-22" @default.
• W1970070689 title "Mainstreaming Sustainable Decision-making for Ecosystems: Integrating Ecological and Socio-economic Targets within a Decision Support System" @default.
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• W1970070689 doi "https://doi.org/10.1007/s40710-014-0006-x" @default.
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