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Practical application of spatial ecosystem service models to aid decision support.
Zulian, Grazia; Stange, Erik; Woods, Helen; Carvalho, Laurence; Dick, Jan; Andrews, Christopher; Baró, Francesc; Vizcaino, Pilar; Barton, David N; Nowel, Megan; Rusch, Graciela M; Autunes, Paula; Fernandes, João; Ferraz, Diogo; Ferreira Dos Santos, Rui; Aszalós, Réka; Arany, Ildikó; Czúcz, Bálint; Priess, Joerg A; Hoyer, Christian; Bürger-Patricio, Gleiciani; Lapola, David; Mederly, Peter; Halabuk, Andrej; Bezak, Peter; Kopperoinen, Leena; Viinikka, Arto.
Afiliación
  • Zulian G; Joint Research Centre, via Fermi 1, 21020 Ispra Varese, Italy.
  • Stange E; Norwegian Institute for Nature research (NINA), Lillehammer, Norway.
  • Woods H; CEH, Bush Estate, Penicuik, Edinburgh, Midlothian EH26 0QB, UK.
  • Carvalho L; CEH, Bush Estate, Penicuik, Edinburgh, Midlothian EH26 0QB, UK.
  • Dick J; CEH, Bush Estate, Penicuik, Edinburgh, Midlothian EH26 0QB, UK.
  • Andrews C; CEH, Bush Estate, Penicuik, Edinburgh, Midlothian EH26 0QB, UK.
  • Baró F; Institute of Environmental Science and Technology (ICTA), Universitat Autònoma de Barcelona (UAB), (ICTA-ICP), Carrer de les Columnes s/n, Campus de la UAB, 08193 Cerdanyola del Vallès (Barcelona), Spain.
  • Vizcaino P; Hospital del Mar Medical Research Institute (IMIM), Edifici PRBB, Carrer Doctor Aiguader 88, 08003 Barcelona, Spain.
  • Barton DN; Joint Research Centre, via Fermi 1, 21020 Ispra Varese, Italy.
  • Nowel M; Norwegian Institute for Nature Research (NINA), Gaustadalléen 21, 0349 Oslo, Norway.
  • Rusch GM; Norwegian Institute for Nature Research (NINA), Gaustadalléen 21, 0349 Oslo, Norway.
  • Autunes P; Norwegian Institute for Nature Research (NINA), P.O. Box 5685 Sluppen, 7485 Trondheim, Norway.
  • Fernandes J; CENSE - Centre for Environmental and Sustainability Research, Universidade Nova de Lisboa, Portugal.
  • Ferraz D; CENSE - Centre for Environmental and Sustainability Research, Universidade Nova de Lisboa, Portugal.
  • Ferreira Dos Santos R; CENSE - Centre for Environmental and Sustainability Research, Universidade Nova de Lisboa, Portugal.
  • Aszalós R; CENSE - Centre for Environmental and Sustainability Research, Universidade Nova de Lisboa, Portugal.
  • Arany I; Institute of Ecology and Botany, Centre for Ecological Research, Hungarian Academy of Sciences, Alkotmány u. 2-4, H-2163 Vácrátót, Hungary.
  • Czúcz B; Institute of Ecology and Botany, Centre for Ecological Research, Hungarian Academy of Sciences, Alkotmány u. 2-4, H-2163 Vácrátót, Hungary.
  • Priess JA; Institute of Ecology and Botany, Centre for Ecological Research, Hungarian Academy of Sciences, Alkotmány u. 2-4, H-2163 Vácrátót, Hungary.
  • Hoyer C; European Topic Centre on Biological Diversity, Muséum national d'Histoire naturelle, 57 rue Cuvier, FR-75231 Paris Paris Cedex 05, France.
  • Bürger-Patricio G; Helmholtz Centre for Environmental Research UFZ, Permoserstraße 15, 04318 Leipzig, Germany.
  • Lapola D; Helmholtz Centre for Environmental Research UFZ, Permoserstraße 15, 04318 Leipzig, Germany.
  • Mederly P; LabTerra - UNESP Univ Estadual Paulista, Rio Claro, SP, Brazil.
  • Halabuk A; LabTerra - UNESP Univ Estadual Paulista, Rio Claro, SP, Brazil.
  • Bezak P; Department of Ecology and Environmental Sciences, Constantine the Philosopher University in Nitra, Slovakia.
  • Kopperoinen L; Institute of Landscape Ecology, Slovak Academy of Sciences, Branch Nitra, Slovakia.
  • Viinikka A; Institute of Landscape Ecology, Slovak Academy of Sciences, Branch Nitra, Slovakia.
Ecosyst Serv ; 29(Pt C): 465-480, 2018 Feb.
Article en En | MEDLINE | ID: mdl-29492376
Ecosystem service (ES) spatial modelling is a key component of the integrated assessments designed to support policies and management practices aiming at environmental sustainability. ESTIMAP ("Ecosystem Service Mapping Tool") is a collection of spatially explicit models, originally developed to support policies at a European scale. We based our analysis on 10 case studies, and 3 ES models. Each case study applied at least one model at a local scale. We analyzed the applications with respect to: the adaptation process; the "precision differential" which we define as the variation generated in the model between the degree of spatial variation within the spatial distribution of ES and what the model captures; the stakeholders' opinions on the usefulness of models. We propose a protocol for adapting ESTIMAP to the local conditions. We present the precision differential as a means of assessing how the type of model and level of model adaptation generate variation among model outputs. We then present the opinion of stakeholders; that in general considered the approach useful for stimulating discussion and supporting communication. Major constraints identified were the lack of spatial data with sufficient level of detail, and the level of expertise needed to set up and compute the models.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Ecosyst Serv Año: 2018 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Ecosyst Serv Año: 2018 Tipo del documento: Article País de afiliación: Italia