• 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.

    Listar

    Todo UVaDOCComunidadesPor fecha de publicaciónAutoresMateriasTítulos

    Mi cuenta

    Acceder

    Estadísticas

    Ver Estadísticas de uso

    Compartir

    Ver ítem 
    •   UVaDOC Principal
    • PRODUCCIÓN CIENTÍFICA
    • Institutos de Investigación
    • Instituto Universitario de Investigación en Gestión Forestal Sostenible
    • IUGFS - Artículos de revista
    • Ver ítem
    •   UVaDOC Principal
    • PRODUCCIÓN CIENTÍFICA
    • Institutos de Investigación
    • Instituto Universitario de Investigación en Gestión Forestal Sostenible
    • IUGFS - Artículos de revista
    • Ver ítem
    • 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:http://uvadoc.uva.es/handle/10324/42836

    Título
    Potential climatic influence on maximum stand carrying capacity for 15 Mediterranean coniferous and broadleaf species
    Autor
    Rodríguez de Prado, Diego
    San Martín Fernández, RobertoAutoridad UVA Orcid
    Bravo Oviedo, FelipeAutoridad UVA Orcid
    Herrero De Aza, CeliaAutoridad UVA Orcid
    Año del Documento
    2020
    Editorial
    Forest Ecology and Management
    Documento Fuente
    Forest Ecology and Management, Enero 2020, vol. 460, p. 117824
    Resumen
    Climate change projections for the Mediterranean basin predict a continuous increase in extreme drought and heat episodes, which will affect forest dynamics, structure and composition. Understanding how climate influences the maximum size-density relationship (MSDR) is therefore critical to designing adaptive silvicultural guidelines based on the potential stand carrying capacity of tree species. With this aim, data from the Third Spanish National Forest Inventory (3NFI) and WorldClim databases were used to analyze climate-related variations of the maximum stand carrying capacity for 15 species from the Pinus, Fagus and Quercus genera. First, basic MSDR were fitted using linear quantile regression and observed size-density data from monospecific 3NFI plots. Reference values for maximum stocking, expressed in terms of the Maximum Stand Density Index (SDImax), were estimated by species. Then, climate-dependent MSDR models including 35 annual and seasonal climatic variables were fitted. The best climate-dependent models, based on the Akaike Information Criteria (AIC) index, were used to determine the climatic drivers affecting MSDR, to analyze general and species-specific patterns and to quantify the impact of climate on maximum stand carrying capacity. The results showed that all the selected climate-dependent models improved the goodness of fit over the basic models. Among the climatic variables, spring and summer maximum temperatures were found to be key drivers affecting MSDR for the species studied. A common trend was also found across species, linking warmer and drier conditions to smaller SDImax values. Based on projected climate scenarios, this suggests potential reductions in maximum stocking for these species. In this study, a new index was proposed, the Q index, for evaluating the impact of climate on maximum stand carrying capacity. Our findings highlight the importance of using specific climatic variables to better characterize how they affect MSDR. The models presented in this study will allow us to better explain interactions between climate and MSDR while also providing more precise estimates concerning maximum stocking for different Mediterranean coniferous and broadleaf tree species.
    Palabras Clave
    Self-thinning
    Reineke
    Maximum Stand Density Index
    Forest Management
    National Forest Inventory Data
    ISSN
    0378-1127
    Revisión por pares
    SI
    DOI
    10.1016/j.foreco.2019.117824
    Patrocinador
    Industrial PhD project [grant DI-15-07722]
    Torres Quevedo programme [grant PTQ-12-05409]
    Version del Editor
    https://www.sciencedirect.com/science/article/pii/S037811271931535X?via%3Dihub
    Propietario de los Derechos
    2020 Elsevier B.V. All rights reserved.
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/42836
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    restrictedAccess
    Aparece en las colecciones
    • IUGFS - Artículos de revista [140]
    Mostrar el registro completo del ítem
    Ficheros en el ítem
    Nombre:
    2020_DiegoRodriguez_etal_MaximumStandDensity.pdf
    Tamaño:
    938.9Kb
    Formato:
    Adobe PDF
    Thumbnail
    Visualizar/Abrir
    Nombre:
    2020_DiegoRodriguez_etal_MaximumStandDensity_suplmat.docx
    Tamaño:
    87.23Kb
    Formato:
    Documento Word
    Visualizar/Abrir

    Universidad de Valladolid

    Powered by MIT's. DSpace software, Version 5.10