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  1. 1.
    0533687 - BÚ 2021 RIV GB eng J - Journal Article
    Petter, G. - Mairotta, P. - Albrich, K. - Bebi, P. - Brůna, Josef - Bugmann, H. - Haffenden, A. - Scheller, R. M. - Schmatz, D. R. - Seidl, R. - Speich, M. - Vacchiano, G. - Lischke, H.
    How robust are future projections of forest landscape dynamics? Insights from a systematic comparison of four forest landscape models.
    Environmental Modelling & Software. Roč. 134, December (2020), s. 1-13, č. článku 104844. ISSN 1364-8152. E-ISSN 1873-6726
    R&D Projects: GA MŠMT LD15158
    Institutional support: RVO:67985939
    Keywords : forest landscape models * model comparision * future projections
    OECD category: Forestry
    Impact factor: 5.288, year: 2020
    Method of publishing: Open access
    https://doi.org/10.1016/j.envsoft.2020.104844
    Permanent Link: http://hdl.handle.net/11104/0315141
    FileDownloadSizeCommentaryVersionAccess
    How robust are future projections.pdf18.1 MBOtheropen-access
     
     

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