- Predicting GPP in Carpathian Beech Forests: Uncovering spatial and te…
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Predicting GPP in Carpathian Beech Forests: Uncovering spatial and temporal patterns using a regression model with climatic, topographic and additional features

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    0601463 - ÚVGZ 2025 RIV SI eng C - Conference Paper (international conference)
    Missarov, A. - Kašpar, J. - Král, K. - Brovkina, Olga - Švik, Marian
    Predicting GPP in Carpathian Beech Forests: Uncovering spatial and temporal patterns using a regression model with climatic, topographic and additional features.
    Predicting future trends – responses of beech and fir in the Carpathian region. Lublaň: Slovenian Forestry Institute, The Silva Slovenica Publishing Centre, 2024 - (Čater, M.; Dařenová, E.), s. 67-71. ISBN 978-961-6993-87-6.
    [Predicting future trends – responses of beech and fir in the Carpathian region. Ljublaň (SI), 05.09.2024-05.09.2024]
    R&D Projects: GA ČR(CZ) GF21-47163L
    Institutional support: RVO:86652079
    Keywords : gross primary product * remote sensing * regression model * temperature * precipitation * digital elevation model
    OECD category: Forestry
    DOI: https://doi.org/10.20315/SilvaSlovenica.0026.12
    Permanent Link: https://hdl.handle.net/11104/0358630
     
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    Predicting future trends – responses of.pdf08.8 MBPublisher’s postprintopen-access
     
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