• Login
    View Item 
    •   Academica-e
    • Departamentos y Centros - Sailak eta Ikastegiak
    • Dpto. Ciencias del Medio Natural - Natura Ingurunearen Zientziak Saila
    • Artículos de revista DCMN - NIZS Aldizkari artikuluak
    • View Item
    •   Academica-e
    • Departamentos y Centros - Sailak eta Ikastegiak
    • Dpto. Ciencias del Medio Natural - Natura Ingurunearen Zientziak Saila
    • Artículos de revista DCMN - NIZS Aldizkari artikuluak
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Modelling the management of forest ecosystems: importance of wood decomposition

    Thumbnail
    View/Open
    Blanco et al 2018 NRM post-print.pdf (2.096Mb)
    Date
    2018
    Author
    Blanco Vaca, Juan Antonio Upna Orcid
    Page-Dumroese, Deborah S. 
    Jurgensen, Martin F. 
    Curran, Michale P. 
    Tirocke, Joanne M. 
    Walitalo, Joanna 
    Version
    Acceso abierto / Sarbide irekia
    Type
    Artículo / Artikulua
    Version
    Versión aceptada / Onetsi den bertsioa
    Impact
     
     
     
    10.1111/nrm.12173
     
     
     
    Show full item record
    Abstract
    Scarce and uncertain data on woody debris decomposition rates are available for calibrating forest ecosystem models, owing to the difficulty of their empirical estimations. Using field data from three experimental sites which are part of the North American Long-Term Soil Productivity (LTSP) Study in south-eastern British Columbia (Canada), we developed probability distributions of standard wood sta ... [++]
    Scarce and uncertain data on woody debris decomposition rates are available for calibrating forest ecosystem models, owing to the difficulty of their empirical estimations. Using field data from three experimental sites which are part of the North American Long-Term Soil Productivity (LTSP) Study in south-eastern British Columbia (Canada), we developed probability distributions of standard wood stake mass loss of Populus tremuloides and Pinus contorta. Using a Monte Carlo approach, 50 synthetic decomposition rate values per debris type were used to calibrate the ecosystem-level forest model FORECAST. Significant effects of uncertainty of pine stake mass loss rates on estimated tree growth were found, especially in moderately managed forests, as estimations of available nitrogen were affected. Consequently, our work has shown that projections of tree growth under management conditions depend on accurate estimations of woody debris decomposition rates, and special effort should be done in create reliable databases of decomposition rates for their use in tree growth and yield modelling. [--]
    Subject
    Ecosystem-level model, FORECAST model, Forest ecosystem, Forest management, Sensitivity analysis, Uncertainty analysis
     
    Publisher
    Wiley
    Published in
    Natural Resource Modeling, e12173
    Departament
    Universidad Pública de Navarra. Departamento de Ciencias del Medio Natural / Nafarroako Unibertsitate Publikoa. Natura Ingurunearen Zientziak Saila
     
    Publisher version
    https://doi.org/10.1111/nrm.12173
    URI
    https://hdl.handle.net/2454/28508
    Appears in Collections
    • Artículos de revista DCMN - NIZS Aldizkari artikuluak [87]
    • Artículos de revista - Aldizkari artikuluak [4205]
    Items in Academica-e are protected by copyright with all rights reserved, unless otherwise noted.

     © Universidad Pública de Navarra - Nafarroako Unibertsitate Publikoa
         Repositorio basado en DSpace

    Contact Us | Send Feedback
     

     

    Browse

    All of Academica-eCommunities & CollectionsAuthorsAuthors By Issue DateTitlesSubjectsBy DegreeThis CollectionAuthorsAuthors By Issue DateTitlesSubjectsBy Degree

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

     © Universidad Pública de Navarra - Nafarroako Unibertsitate Publikoa
         Repositorio basado en DSpace

    Contact Us | Send Feedback