Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 548380
Title A climate-sensitive forest model for assessing impacts of forest management in Europe
Author(s) Härkönen, S.; Neumann, M.; Mues, V.; Berninger, F.; Bronisz, K.; Cardellini, G.; Chirici, G.; Hasenauer, H.; Koehl, M.; Lang, M.; Merganicova, K.; Mohren, F.; Moiseyev, A.; Moreno, A.; Mura, M.; Muys, B.; Olschofsky, K.; Perugia, B. Del; Rørstad, P.K.; Solberg, B.; Thivolle-Cazat, A.; Trotsiuk, V.; Mäkelä, A.
Source Environmental Modelling & Software 115 (2019). - ISSN 1364-8152 - p. 128 - 143.
DOI https://doi.org/10.1016/j.envsoft.2019.02.009
Department(s) PE&RC
Forest Ecology and Forest Management
Publication type Refereed Article in a scientific journal
Publication year 2019
Keyword(s) Bioeconomy - Bioenergy - Disturbances - Forest planning - FORMIT - Model - NPP - Scenario analysis - Sustainability - Timber harvests
Abstract

FORMIT-M is a widely applicable, open-access, simple and flexible, climate-sensitive forest management simulator requiring only standard forest inventory data as input. It combines a process-based carbon balance approach with a strong inventory-based empirical component. The model has been linked to the global forest sector model EFI-GTM to secure consistency between timber cutting and demand, although prescribed harvest scenarios can also be used. Here we introduce the structure of the model and demonstrate its use with example simulations until the end of the 21st century in Europe, comparing different management scenarios in different regions under climate change. The model was consistent with country-level statistics of growing stock volumes (R 2 = 0.938) and its projections of climate impact on growth agreed with other studies. The management changes had a greater impact on growing stocks, harvest potential and carbon balance than projected climate change, at least in the absence of increased disturbance rates.

Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.