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dc.contributor.authorBravo Oviedo, Felipe 
dc.contributor.authorOrdoñez Alonso, Ángel Cristobal 
dc.contributor.authorVázquez Veloso, Aitor 
dc.contributor.authorMichalakopoulos, S.
dc.date.accessioned2025-01-10T10:34:14Z
dc.date.available2025-01-10T10:34:14Z
dc.date.issued2025
dc.identifier.citationEcological Modelling, enero 2025, vol. 499, 110912es
dc.identifier.issn0304-3800es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/73630
dc.descriptionProducción Científicaes
dc.description.abstractTechnological progress in the last decades has driven great advances in many fields of knowledge. A wide range of tools and services are now available and constantly evolving to handle vast amounts of available data as well as the increased complexity of real-world case studies and analytical alternatives. Most sectors have embraced new methodologies to provide solutions to their problems, and the forestry sector is no exception. Important steps have been taken to update the forestry sector and introduce new large-scale experimental designs, digital tools and more extensive forestry databases. However, assimilation of this progress by forest managers remains largely pending. The more specialized technical knowledge and computing skills required to use this new generation of tools constitutes a known barrier to uptake. In this work, we present the SIMANFOR cloud-based Decision Support System service for simulating forest management alternatives. Its evolution, internal structure and potential applications are described. A case study was developed to demonstrate simulator performance under diverse management scenarios and highlight the benefits of this tool for forest managers. SIMANFOR cloud services are free and can be accessed at www.simanfor.es.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.classificationForest management simulatores
dc.subject.classificationGrowth and yieldes
dc.subject.classificationForest modellinges
dc.subject.classificationCloud servicees
dc.subject.classificationSilviculturees
dc.subject.classificationEcosystem serviceses
dc.titleSIMANFOR cloud Decision Support System: Structure, content, and applicationses
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2024 The Authorses
dc.identifier.doi10.1016/j.ecolmodel.2024.110912es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0304380024003004es
dc.identifier.publicationfirstpage110912es
dc.identifier.publicationtitleEcological Modellinges
dc.identifier.publicationvolume499es
dc.peerreviewedSIes
dc.description.projectJunta de Castilla y León/FEDER (CLU-2019-01, CL-EI-2021-05)es
dc.description.projectMinisterio de Ciencia e Innovación (2017-EU-IA-0140, TED2021-130667B-I00, PID2021-126275OB-C22)es
dc.description.projectUniversidad de Valladolid (Movilidad de estudiantes de doctorado UVa 2023)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dc.subject.unesco3106 Ciencia Forestales


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