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dc.contributor.authorCristal, Irina
dc.contributor.authorAméztegui González, Aitor
dc.contributor.authorGonzález-Olabarria, José Ramón
dc.contributor.authorGarcia Gonzalo, Jordi
dc.date.accessioned2019-10-25T16:13:36Z
dc.date.available2019-10-25T16:13:36Z
dc.date.issued2019-05-21
dc.identifier.issn1999-4907
dc.identifier.urihttp://hdl.handle.net/10459.1/66823
dc.description.abstractIn the climate change era, forest managers are challenged to use innovative tools to encourage a sustained provision of goods and services. Many decision support tools (DSTs), developed to address global changes in forest management practices, reflect the complexity of the scientific knowledge produced, a fact that could make it difficult for practitioners to understand and adopt them. Acknowledging the importance of knowledge transfer to forestry practitioners, this study describes a user-centric decision support software tool, aiming to assess forest management and climate change impacts on multiple ecosystem services (ESs) at a stand level. SORTIE-ND, a spatially explicit tree-level simulator for projecting stand dynamics that is sensitive to climate change, is encapsulated into the decision support tool and used as the simulation engine for stand development. Linking functions are implemented to evaluate ecosystem services and potential risks, and decision support is provided in form of interactive 2D and 3D visualizations. Five main components were identified to delineate the workflow and to shape the decision support tool: the information base, the alternative generator, the forest simulator, the ecosystem services calculator, and the visualization component. In order to improve the interaction design and general user satisfaction, the usability of the system was tested at an early stage of the development. While we have specifically focused on a management-oriented approach through user-centric interface design, the utilization of the product is likely to be of importance in facilitating education in the field of forest management.ca_ES
dc.description.sponsorshipCTFC authors acknowledge funding from MINECO (Ref. RYC-2011-08983, RYC-2013-14262, AGL2015-67293-R MINECO/FEDER) and from CERCA Programme/Generalitat de Catalunya. This research has also received funding from the European Union’s H2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 691149 (SuFoRun) and from the ERA-NET cofund ‘ForestValue – Innovating the forest-based bioeconomy’ project title “Novel business models and mechanisms for the sustainable supply of and payment for forest ecosystem services” funded in the framework of the (NOBEL). A.A. was funded by MINECO with a JdC-I grant (IJCI-2016-30049).ca_ES
dc.language.isoengca_ES
dc.publisherMDPIca_ES
dc.relationMINECO/PN2013-2016/AGL2015-67293-Rca_ES
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3390/f10050440ca_ES
dc.relation.ispartofForests, 2019, vol. 10, núm. 5, 440ca_ES
dc.rightscc-by (c) Cristal et al., 2019ca_ES
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectClimate changeca_ES
dc.subjectForest managementca_ES
dc.subjectSimulationca_ES
dc.subjectDecision support toolca_ES
dc.subjectEcosystem servicesca_ES
dc.titleA decision support tool for assessing the impact of climate change on multiple ecosystem servicesca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.identifier.idgrec029623
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.3390/f10050440
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/691149/EU/SuFoRunca_ES


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cc-by (c) Cristal et al., 2019
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