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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/49978

    Título
    Modelling approaches for mixed forests dynamics prognosis. Research gaps and opportunities
    Autor
    Bravo Oviedo, FelipeAutoridad UVA Orcid
    Fabrika, Marek
    Ammer, Christian
    Barreiro, Susana
    Bielak, Kamil
    Coll, Lluis
    Fonseca, Teresa
    Kangur, Ahto
    Löf, Magnus
    Merganičová, Katarina
    Pach, Maciej
    Pretzsch, HansAutoridad UVA
    Stojanović, Dejan
    Schuler, Laura
    Peric, Sanja
    Rötzer, Thomas
    Río Gaztelurrutia, Miren del
    Dodan, Martina
    Bravo Oviedo, Andrés
    Año del Documento
    2019
    Editorial
    Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
    Descripción
    Producción Científica
    Documento Fuente
    Forest systems, 2019, Vol. 28, Nº. 1, 18 pp.
    Zusammenfassung
    Aim of study: Modelling of forest growth and dynamics has focused mainly on pure stands. Mixed-forest management lacks systematic procedures to forecast the impact of silvicultural actions. The main objective of the present work is to review current knowledge and forest model developments that can be applied to mixed forests.Material and methods: Primary research literature was reviewed to determine the state of the art for modelling tree species mixtures, focusing mainly on temperate forests.Main results: The essential principles for predicting stand growth in mixed forests were identified. Forest model applicability in mixtures was analysed. Input data, main model components, output and viewers were presented. Finally, model evaluation procedures and some of the main model platforms were described.Research highlights: Responses to environmental changes and management activities in mixed forests can differ from pure stands. For greater insight into mixed-forest dynamics and ecology, forest scientists and practitioners need new theoretical frameworks, different approaches and innovative solutions for sustainable forest management in the context of environmental and social changes.
    Materias (normalizadas)
    Dynamics
    Ecología
    Biodiversidad forestal
    Forest biodiversity
    Materias Unesco
    3106 Ciencia Forestal
    ISSN
    2171-5068
    Revisión por pares
    SI
    DOI
    10.5424/fs/2019281-14342
    Patrocinador
    Ministerio del Economía y Competitividad (AGL-2014-51964-C2-1-R)
    Slovak Research and Development Agency (APVV-0480-12 and APVV-15-0265)
    Version del Editor
    https://revistas.inia.es/index.php/fs/article/view/14342
    Propietario de los Derechos
    © Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/49978
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
    Aparece en las colecciones
    • IUGFS - Artículos de revista [140]
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    Dateien zu dieser Ressource
    Nombre:
    Modelling-approaches-for-mixed-forests-dinamics-prognosis.pdf
    Tamaño:
    453.8Kb
    Formato:
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