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Influence of environmental predispositions on temperate mountain forest damage at different spatial scales during alternating drought and flood periods: case study in Hrubý Jeseník Mts. (Czech Republic)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F22%3A00559481" target="_blank" >RIV/86652079:_____/22:00559481 - isvavai.cz</a>

  • Alternative codes found

    RIV/62156489:43410/22:43921696

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s11629-021-6671-0" target="_blank" >https://link.springer.com/article/10.1007/s11629-021-6671-0</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11629-021-6671-0" target="_blank" >10.1007/s11629-021-6671-0</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Influence of environmental predispositions on temperate mountain forest damage at different spatial scales during alternating drought and flood periods: case study in Hrubý Jeseník Mts. (Czech Republic)

  • Original language description

    Mountain forests are more prone to environmental predispositions (EPs) than submountain ones. While remote sensing of mountain forests enables instantaneous damage mapping, the investigation of the causes requires field data. However, a local field or regionally modeled environmental characteristics influence remote data evaluation differently. This study focused on the evaluation of EPs effects damaging mountain forests between various spatial resolutions during environmental change. The evaluation was divided into managed and natural forests in the HrubATIN SMALL LETTER Y WITH ACUTE Jesenik Mts. (Czech Republic, 240-1491 m a.s.l.,50.082 degrees N, 17.231 degrees E). Damage was assessed through the discrimination analysis of the normalised difference vegetation index (NDVI) by MODIS VI during alternating drought and flood periods 2003-2014. The local environmental influence was assessed using the discrimination function (DF) separability of forest damage in the training sets. The regional influence was assessed through map algebra estimated via the DF and a forest decline spatial model based on EPs from differences between risk growth conditions and biomass fuzzy sets. Management, EPs and soil influenced forest NDVI at different levels. The management afflicted the NDVI more than the EPs. The EPs afflicted the NDVI more than the soil groups. Strong winters and droughts had a greater influence on the NDVI than the flood events, with the winter of 2005/2006 inverting the DF direction, and the 2003 drought increasing differences in managed forest biomass and decreasing differences in natural forest biomasses. More than 50% of declining managed forests in the training sets occurred on Leptosols, Podzols and Histosols. On a regional scale, the soil influence was eliminated by multiple predispositions. The EPs influenced 96% of natural forest and 65% of managed forest, though managed forest damage was more evident. The mountain forest NDVI decline was dependent on both management and risk predispositions.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40102 - Forestry

Result continuities

  • Project

    <a href="/en/project/LM2018123" target="_blank" >LM2018123: CzeCOS</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Mountain Science

  • ISSN

    1672-6316

  • e-ISSN

    1993-0321

  • Volume of the periodical

    19

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    CN - CHINA

  • Number of pages

    14

  • Pages from-to

    1931-1944

  • UT code for WoS article

    000827751600006

  • EID of the result in the Scopus database

    2-s2.0-85134416515