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)

0559481 - ÚVGZ 2023 RIV CN eng J - Článek v odborném periodiku
Samec, Pavel - Kudělková, R. - Lukeš, Petr - Kučera, A. - Cudlín, Pavel
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).
Journal of Mountain Science. Roč. 19, č. 7 (2022), s. 1931-1944. ISSN 1672-6316. E-ISSN 1993-0321
Grant CEP: GA MŠMT(CZ) LM2018123
Institucionální podpora: RVO:86652079
Klíčová slova: Mountain environment * Forest damage types * Canopy density * Soil group * Norway spruce (Picea abies)
Obor OECD: Forestry
Impakt faktor: 2.5, rok: 2022
Způsob publikování: Open access
https://link.springer.com/article/10.1007/s11629-021-6671-0

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.
Trvalý link: https://hdl.handle.net/11104/0332763