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      Methodological interlinkages for mapping ecosystem services – from data to analysis and decision-support

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      One Ecosystem
      Pensoft Publishers

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          Abstract

          A broad array of methods have been developed and applied to map ecosystem services and their values at various geographic scales. For example, the ESMERALDA project developed methods for ecosystem service mapping across Europe. This paper describes how different methodological interlinkages can be used in ecosystem service mapping and assessment and how the integration of information can be facilitated to assist in decision-making processes related to sustainable use and protection of ecosystem services. This paper is based on a literature review and expert consultations throughout the project. The accumulation of knowledge in ecosystem assessment processes will be described through multiple steps: 1) data compilation, 2) analyses run via independent or linked methods applications and tools, 3) integration of information from multiple analyses and 4) finally, feeding into the decision-support frameworks. The challenges and possibilities of using combinations of various datasets and methods will be discussed. This workflow is demonstrated with real-world applications. In addition, technical pitfalls and challenges, as well as linkages to overall ecosystem assessments and policy questions, are analysed and discussed.

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          Twenty years of ecosystem services: How far have we come and how far do we still need to go?

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            A quantitative review of ecosystem service studies: approaches, shortcomings and the road ahead

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              Mapping ecosystem services for policy support and decision making in the European Union

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                Author and article information

                Journal
                One Ecosystem
                OE
                Pensoft Publishers
                2367-8194
                April 18 2019
                April 18 2019
                : 4
                Article
                10.3897/oneeco.4.e26368
                5b981b92-8dbf-4da4-8284-32109a438fbe
                © 2019

                http://creativecommons.org/licenses/by/4.0/

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