• español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Stöbern

    Gesamter BestandBereicheErscheinungsdatumAutorenSchlagwortenTiteln

    Mein Benutzerkonto

    Einloggen

    Statistik

    Benutzungsstatistik

    Compartir

    Dokumentanzeige 
    •   UVaDOC Startseite
    • WISSENSCHAFTLICHE ARBEITEN
    • Institutos de Investigación
    • Instituto Universitario de Investigación en Gestión Forestal Sostenible
    • IUGFS - Artículos de revista
    • Dokumentanzeige
    •   UVaDOC Startseite
    • WISSENSCHAFTLICHE ARBEITEN
    • Institutos de Investigación
    • Instituto Universitario de Investigación en Gestión Forestal Sostenible
    • IUGFS - Artículos de revista
    • Dokumentanzeige
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis

    Citas

    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/61223

    Título
    Evaluation and validation of forest models: Insight from Mediterranean and scots pine models in Spain
    Autor
    Vázquez Veloso, AitorAutoridad UVA Orcid
    Pando Fernández, ValentínAutoridad UVA Orcid
    Ordoñez Alonso, Ángel CristobalAutoridad UVA Orcid
    Bravo Oviedo, FelipeAutoridad UVA Orcid
    Año del Documento
    2023
    Editorial
    Elsevier
    Descripción
    Producción Científica
    Documento Fuente
    Ecological Informatics, 2023, vol. 77, 102246
    Zusammenfassung
    Forest models predict tree and stand evolution under different scenarios, thereby supporting decision-making in forest management. Models are complex structures composed of sub-models that estimate forest variables at tree and stand levels. Prediction accuracy has generally been evaluated independently of the model. Integrated sub-models make forest models easier to use and provide predictions for growth, survival, ingrowth and many other tree and stand variables with reduced effort. However, while individual submodel validation is widely practiced and normally done by each author individually, joint model validation remains less explored. This study deploys a useful methodology for evaluating and validating models. After comparing observed and predicted data, several case studies were then proposed to improve the accuracy of the joint model. We used the IBERO model, data from the Spanish National Forest Inventory and the SIMANFOR simulator platform. The accuracy of growth submodels was improved by calibrating their equations, though accuracy was not improved in survival and ingrowth submodels.
    Materias (normalizadas)
    Gestión forestal
    Bosques y silvicultura
    Materias Unesco
    3106 Ciencia Forestal
    Palabras Clave
    Survival
    Growth
    Modelling
    Supervivencia
    Crecimiento
    Modelado
    ISSN
    1574-9541
    Revisión por pares
    SI
    DOI
    10.1016/j.ecoinf.2023.102246
    Patrocinador
    FEDER - Junta de Castilla y León (CLU-2019-01 y CL-EI-2021-05)
    Project COMFOR-SUDOE: Integrated and intelligent management of complex forests and mixed-species plantations in Southwest Europe (SOE4/PA/E1012)
    Project SMART: Bosques mixtos : selvicultura, mitigación, adaptación, resiliencia y trade-offs (VA183P20)
    Project Integrated Forest Management along complexity gradients (IMFLEX) (PID2021-1262750B-C229)
    Version del Editor
    https://www.sciencedirect.com/science/article/pii/S1574954123002753?via%3Dihub
    Propietario de los Derechos
    © 2023 The Authors
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/61223
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
    Aparece en las colecciones
    • IUGFS - Artículos de revista [140]
    Zur Langanzeige
    Dateien zu dieser Ressource
    Nombre:
    Evaluation-and-validation-of-forest.pdf
    Tamaño:
    2.417Mb
    Formato:
    Adobe PDF
    Thumbnail
    Öffnen
    Attribution-NonCommercial-NoDerivatives 4.0 InternacionalSolange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Attribution-NonCommercial-NoDerivatives 4.0 Internacional

    Universidad de Valladolid

    Powered by MIT's. DSpace software, Version 5.10