Počet záznamů: 1  

Wind Damage and Temperature Effect on Tree Mortality Caused by Ips typographus L.: Phase Transition Model

  1. 1.
    0558878 - ÚVGZ 2023 RIV CH eng J - Článek v odborném periodiku
    Soukhovolsky, V. - Kovalev, A. - Tarasova, O. - Modlinger, R. - Křenová, Zdeňka - Mezei, P. - Škvarenina, J. - Rožnovský, J. - Korolyova, N. - Majdák, A. - Jakuš, R.
    Wind Damage and Temperature Effect on Tree Mortality Caused by Ips typographus L.: Phase Transition Model.
    Forests. Roč. 13, č. 2 (2022), č. článku 180. E-ISSN 1999-4907
    Grant CEP: GA MŠMT(CZ) LM2018123
    Institucionální podpora: RVO:86652079
    Klíčová slova: spruce bark beetle * norway spruce * forest management * col.-scolytidae * climate-change * national-park * dynamics * susceptibility * disturbances * coleoptera * tree mortality * bark beetle * Czech Republic * Slovakia * autoregressive distributed lag model * long-term * short-term
    Obor OECD: Forestry
    Impakt faktor: 2.9, rok: 2022
    Způsob publikování: Open access
    https://www.mdpi.com/1999-4907/13/2/180

    The aim of this study was to develop methods for constructing a simple model describing tree mortality caused by Ips typographus L. using a minimum number of variables. We developed a model for areas spanning natural mountain forests in the Tatra National Park (Slovakia) and the Sumava National Park (Czech Republic), and in managed Czech forests located in four areas varying in environmental conditions. The model describes the time series of tree mortality dynamics caused by I.typographus using two submodels: a long-term dynamics submodel, and a short-term dynamics autoregressive distributed lag(ADL) model incorporating a two year delay and temperature variable averaged over the April-May period. The quality of fit for our models (R-2 value) ranged from 0.87 to 0.91. The model was formulated to capture the average monthly temperature effect, a key weather factor. We found that for high-elevation stands located at least 1000 ma.s.l., forest damage was predominantly influenced by May temperatures. For lower-elevation managed forests with warmer climates, the weather effect was insignificant.
    Trvalý link: http://hdl.handle.net/11104/0332379

     
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