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Meteorological triggers of tree-ring based dated landslide reactivations in the European landslide hot spot (the České středohoří Highlands)

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ŠILHÁN Karel BRÁZDIL Rudolf ŘEHOŘ Jan ZAHRADNÍČEK Pavel BALEK Jan TRNKA Miroslav

Rok publikování 2025
Druh Článek v odborném periodiku
Časopis / Zdroj Landslides
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www https://link.springer.com/article/10.1007/s10346-025-02638-0
Doi https://doi.org/10.1007/s10346-025-02638-0
Klíčová slova Landslides; Dendrogeomorphology; Triggers; Tension wood; The České středohoří Highlands
Popis Defining the triggers of landslide reactivation is one of the keys to determining landslide hazard. However, in order to determine the reactivation-trigger relationship as objectively as possible, it is necessary to have information on past landslide occurrence in combination with a range of meteorological data. The approach based on the study of tree-ring series of disturbed trees appears to be the most effective at present. At the same time, regional reconstructions can provide more accurate information on landslide behaviour compared to individual case studies. Thus, this study focused on tree-ring–based reconstruction of landslide movements at the regional level in one of the most affected areas in Central Europe, the České středohoří Highlands, and the use of the obtained chronological data for detailed analysis of potential triggers. For tree-ring–based analysis, 453 individuals of European beech (Fagus sylvatica L.) and pedunculate oak (Quercus robur L.) were used. Based on the analysis of 906 tree-ring series, 218 growth disturbances (onset of tension wood) were identified and 42 landslide reactivations were reconstructed over a period of about 70 years. The landslides were divided into groups in the eastern region and the western region according to their position. The analysis of potential triggers included daily precipitation totals, daily snow cover depth, as well as an innovative approach that took into account soil moisture changes up to 3 m below the landslide surface. The results show considerable variability in the nature of triggers for individual landslides, but in general, the influence of precipitation appears to be significantly stronger compared to snow cover melting. However, no potential meteorological trigger was identified for several landslide reactivations. The study also discusses the high variability of potential triggers found, which may be due to the different types and characteristics of landslides, the varied geology of the area, as well as the tree-ring–based approach itself.

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