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  • 1. Maes, Joachim
    et al.
    Liquete, Camino
    Teller, Anne
    Erhard, Markus
    Paracchini, Maria Luisa
    Barredo, Jose I.
    Grizzetti, Bruna
    Cardoso, Ana
    Somma, Francesca
    Petersen, Jan-Erik
    Meiner, Andrus
    Gelabert, Eva Royo
    Zal, Nihat
    Kristensen, Peter
    Bastrup-Birk, Annemarie
    Biala, Katarzyna
    Piroddi, Chiara
    Egoh, Benis
    Degeorges, Patrick
    Fiorina, Christel
    Santos-Martin, Fernando
    Narusevicius, Vytautas
    Verboven, Jan
    Pereira, Henrique M.
    Bengtsson, Jan
    Gocheva, Kremena
    Marta-Pedroso, Cristina
    Snaell, Tord
    Estreguil, Christine
    San-Miguel-Ayanz, Jesus
    Perez-Soba, Marta
    Gret-Regamey, Adrienne
    Lillebo, Ana I.
    Malak, Dania Abdul
    Conde, Sophie
    Moen, Jon
    Umeå University, Faculty of Science and Technology, Department of Ecology and Environmental Sciences.
    Czucz, Balint
    Drakou, Evangelia G.
    Zulian, Grazia
    Lavalle, Carlo
    An indicator framework for assessing ecosystem services in support of the EU Biodiversity Strategy to 20202016In: Ecosystem Services, ISSN 2212-0416, E-ISSN 2212-0416, Vol. 17, p. 14-23Article in journal (Refereed)
    Abstract [en]

    In the EU, the mapping and assessment of ecosystems and their services, abbreviated to MAES, is seen as a key action for the advancement of biodiversity objectives, and also to inform the development and implementation of related policies on water, climate, agriculture, forest, marine and regional planning. In this study, we present the development of an analytical framework which ensures that consistent approaches are used throughout the EU. It is framed by a broad set of key policy questions and structured around a conceptual framework that links human societies and their well-being with the environment. Next, this framework is tested through four thematic pilot studies, including stakeholders and experts working at different scales and governance levels, which contributed indicators to assess the state of ecosystem services. Indicators were scored according to different criteria and assorted per ecosystem type and ecosystem services using the common international classification of ecosystem services (CICES) as typology. We concluded that there is potential to develop a first EU wide ecosystem assessment on the basis of existing data if they are combined in a creative way. However, substantial data gaps remain to be filled before a fully integrated and complete ecosystem assessment can be carried out.

  • 2.
    Rabe, Sven-Erik
    et al.
    Institute for Spatial and Landscape Planning, ETH Zurich, Switzerland.
    Gantenbein, Remo
    Department of Geography, University of Zurich, Switzerland.
    Richter, Kai-Florian
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Grêt-Regamey, Adrienne
    Institute for Spatial and Landscape Planning, ETH Zurich, Switzerland.
    Increasing the credibility of expert-based models with preference surveys: mapping recreation in the riverine zone2018In: Ecosystem Services, ISSN 2212-0416, E-ISSN 2212-0416, Vol. 31, p. 308-317Article in journal (Refereed)
    Abstract [en]

    Recreation is a basic human need and therefore must be considered in spatial planning, which requires spatially explicit mapping of the recreation suitability of a landscape. The current methods for this type of mapping have limitations: On one hand, widely used expert-based models for large scale suitability assessments often suffer from discrepancies between the mapped values from expert assessment and actual user preferences. On the other hand, elicitation of personal preferences of potential users is complex and time-consuming, and their applicability to larger scales is limited.

    In this paper, we demonstrate the development of a spatially explicit model for the recreation suitability of the riverine zone that integrates the preferences of the users with an expert-based modeling process. First, we conducted an analytic hierarchy process (AHP) with experts to generate four different model variants based on physical variables. These model variants differ in terms of the strength of the influence of the variables on the recreation suitability. Second, an online survey was used to gather data on user preferences for various river sections with regard to recreation. A comparison of the expert model results with the preferences of the potential users shows a clear correlation between one model variant and the users’ preferences. This result suggests that it is possible to elaborate an expert model which corresponds to the preferences of users.

    We made the model results available for the planning and development of the riverine zone in the canton of Zurich. To this end, they were integrated in a decision support platform together with other planning-relevant information.

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