Počet záznamů: 1  

Long-term Responses of Canopy-understorey Interactions to Disturbance Severity in Primary Picea abies Forests

  1. 1.
    SYSNO ASEP0479187
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevLong-term Responses of Canopy-understorey Interactions to Disturbance Severity in Primary Picea abies Forests
    Tvůrce(i) Bače, R. (CZ)
    Schurman, J.S. (CZ)
    Brabec, Marek (UIVT-O) RID, SAI, ORCID
    Čada, V. (CZ)
    Deprés, T. (CZ)
    Janda, P. (CZ)
    Lábusová, J. (CZ)
    Mikoláš, M. (CZ)
    Morrissey, R. C. (CZ)
    Mrhalová, H. (CZ)
    Nagel, T.A. (CZ)
    Nováková, M. H. (CZ)
    Seedre, M. (CZ)
    Synek, M. (CZ)
    Trotsiuk, V. (CZ)
    Svoboda, M. (CZ)
    Zdroj.dok.Journal of Vegetation Science. - : Wiley - ISSN 1100-9233
    Roč. 28, č. 6 (2017), s. 1128-1139
    Poč.str.12 s.
    Jazyk dok.eng - angličtina
    Země vyd.GB - Velká Británie
    Klíč. slovaDisturbance regime ; Natural regeneration ; Primary forest ; Picea abies (L.) Karst ; Windstorms ; Bark beetle ; Understory light availability ; Saplings and poles ; Canopy openness ; Mountain forest
    Vědní obor RIVBB - Aplikovaná statistika, operační výzkum
    Obor OECDStatistics and probability
    Institucionální podporaUIVT-O - RVO:67985807
    UT WOS000423189400004
    EID SCOPUS85032979551
    DOI10.1111/jvs.12581
    AnotaceIn this paper, we investigate how past disturbances (whose data were obtained by carefull reconstruction based on core dendrochronological analysis) influence current stem density in primary Picea abies forests. The investigation was based on semiparametric GAM modeling, using both time to the main past disturbance and its severity, as well as their (parsimonious) interaction. To represent substantial data features (overdispersion, spatial trend and autocorrelation), we used negative binomial GAM with smooth spatial effect and location-specific random intercepts. Effects of main interest (time, severity and their interaction) were modeled nonparametrically (as penalized splines with roughness penalty estimated via crossvalidation). The interaction was modelled by a tensor product spline. Model was fitted via penalized likelihood, allowing for both estimation and testing of various hypotheses of interest. The present investigation greatly extends the timescale of studies monitoring regeneration dynamics following disturbance. We have produced a quantitative model of understory cohort densities, which reinforces that shade-tolerant understory cohorts reduce the amount of time required to recover pre-disturbance conditions. Treating disturbance severity as a continuous variable avoided the a priori assignment of forest dynamics to either even or uneven aged, which should be treated as the two extremes on a continuum of potential age structures.
    PracovištěÚstav informatiky
    KontaktTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Rok sběru2018
Počet záznamů: 1  

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