Informace o publikaci
Combination of triggers for landslide reactivation on structural relief of gently dipping Cretaceous rocks: Results from intra-annual tree-ring based dating
| Autoři | |
|---|---|
| Rok publikování | 2025 |
| Druh | Článek v odborném periodiku |
| Časopis / Zdroj | CATENA |
| Fakulta / Pracoviště MU | |
| Citace | |
| www | https://www.sciencedirect.com/science/article/pii/S0341816225000657 |
| Doi | http://dx.doi.org/10.1016/j.catena.2025.108763 |
| Klíčová slova | Landslides; Dendrogeomorphology; Precipitation; Snowmelt; Soil moisture |
| Popis | Establishing the link between landslide reactivations and their triggers is one of the key tasks for effective landslide risk assessment. However, to accurately determine the causes of landslides, it is necessary to obtain detailed chronological data on their past occurrences and analyze a larger number of landslides in the area to eliminate local influences. Thus, the combination of these conditions within this study provides a unique insight into the behaviour of landslides on structural relief of gently dipping Cretaceous rocks. Within the study region (eastern edge of the Bohemian Cretaceous Basin), 14 landslides were analyzed through chronological data from a 1324 tree-ring series of disturbed individuals of common spruce (Picea abies (L.) Karst.), in which 34 landslide reactivations were revealed. Moreover, using the intra-ring position of the reaction wood, it was possible to date these events with seasonal precision. These data subsequently fed into a detail-oriented trigger analysis. A temporally targeted (thanks to the results of seasonal dating) analysis of rainfall totals and soil moisture conditions at a depth of several meters in the landslide bodies revealed different combinations of these factors. These combinations influence the occurrence of rotational (block) landslides and flow-like (shallow) landslides in July and August–September. The differences can be attributed to specific characteristics of the substrate, which also fundamentally influence the nature of growth disturbances in the analysed trees. Thus, variable patterns of high precipitation represent the dominant trigger of the landslides studied, while snowmelt proved to be the direct trigger of only one landslide reactivation. |