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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/50003

    Título
    Predicting mushroom productivity from long-term field-data series in Mediterranean Pinus pinaster Ait. Forests in the context of climate change
    Autor
    Herrero De Aza, CeliaAutoridad UVA Orcid
    Berraondo Armendáriz, Iosu
    Bravo Oviedo, FelipeAutoridad UVA Orcid
    Pando Fernández, ValentínAutoridad UVA Orcid
    Ordoñez Alonso, Ángel CristobalAutoridad UVA Orcid
    Olaizola Suarez, JaimeAutoridad UVA
    Martín Pinto, PabloAutoridad UVA Orcid
    Oria de Rueda Salgueiro, Juan AndrésAutoridad UVA
    Año del Documento
    2019
    Editorial
    MDPI
    Descripción
    Producción Científica
    Documento Fuente
    Forests, 2019, Vol. 10, Nº. 3, 18 pp.
    Zusammenfassung
    Long-term field-data series were used to fit a mushroom productivity model. Simulations enabled us to predict the consequences of management and climate scenarios on potential mushroom productivity. Mushrooms play an important ecological and economic role in forest ecosystems. Human interest in collecting mushrooms for self-consumption is also increasing, giving forests added value for providing recreational services. Pinus pinaster Ait. is a western Mediterranean species of great economic and ecological value. Over 7.5% of the total European distribution of the species is found on the Castilian Plateau in central Spain, where a great variety of mushrooms can be harvested. The aim of this study was to model and simulate mushroom productivity in Maritime pine (Pinus pinaster Ait.) ecosystems in northern Spain under different silvicultural and climatic scenarios. A mixed model was fitted that related total mushroom productivity to stand and weather variables. The model was uploaded to the SiManFor platform to study the effect of different silvicultural and climatic scenarios on mushroom productivity. The selected independent variables in the model were the ratio between stand basal area and density as a stand management indicator, along with precipitation and average temperatures for September and November. The simulation results also showed that silviculture had a positive impact on mushroom productivity, which was higher in scenarios with moderate and high thinning intensities. The impact was highly positive in wetter scenarios, though only slightly positive and negative responses were observed in hotter and drier scenarios, respectively. Silviculture had a positive impact on mushroom productivity, especially in wetter scenarios. Precipitation had greater influence than temperature on total mushroom productivity in Maritime pine stands. The results of this paper will enable forest managers to develop optimal management approaches for P. pinaster forests that integrate Non-Wood Forest Products resources.
    Materias (normalizadas)
    Pinos - Mediterráneo, Región del
    Bosques y silvicultura
    Cambio climático
    Pinos - Explotación
    Hongos
    Materias Unesco
    3106 Ciencia Forestal
    ISSN
    1999-4907
    Revisión por pares
    SI
    Patrocinador
    European Union Seventh Framework Programme FP7 under Grant Agreement n 613762
    Ministerio de Economía y Competitividad under Grant Agreement n 345151982-51982-45-514
    Ministerio de Economía y Competitividad - Fondo Social Europeo (Grant PTQ-12-05409)
    Version del Editor
    https://www.mdpi.com/1999-4907/10/3/206
    Propietario de los Derechos
    © MDPI
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/50003
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
    Aparece en las colecciones
    • IUGFS - Artículos de revista [145]
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    Predicting-Mushroom-Productivity-from-Long-Term.pdf
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    Universidad de Valladolid

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