Tree-ring eccentricity-based dating of landslide movements: Defining a new effective approach


Por: Silhan, Karel, Guillen, Karla Aurora De la Pena, Allende, Teodoro Carlon, Tsou, Ching-Ying, Zhang, Yong

Publicada: 1 ene 2024 Ahead of Print: 1 oct 2023
Categoría: Earth-surface processes

Resumen:
Dendrogeomorphic dating of landslide movements is nowadays a frequently used tool for understanding past landslide behaviour. One of the most widespread growth disturbances induced by landslides is tree-ring ec-centricity. However, extracting the landslide signal from the time series of its values is a challenge that has suffered from many shortcomings so far. In this study, a new approach based on the detection of changes in tree-ring eccentricity values was developed. The approach, which combines the advantages of previous approaches, was tested on four landslides in different physical-geographical conditions with different tree species of different ages. For all landslides, the year of activity was well known and analyses of the results focused on this year. The tested methodological approach successfully detected all these known years. However, it also detected a higher amount of noise in two cases, which may have been caused by imperfect knowledge of pre-landslide slope ac-tivity or creep. An important feature identified in the results obtained by the approach was their potential in-dependence of tree age. As with the use of other macroscopic growth disturbances, this approach does not allow dating with seasonal accuracy. However, compared to previous methodological approaches working with tree-ring eccentricity analysis, the new approach demonstrated significant advantages. The procedure does not truncate the reconstructed time series, does not smooth the landslide signal, and uses exactly defined landslide signal thresholds.

Filiaciones:
Univ Ostrava, Fac Sci, Dept Phys Geog & Geoecol, Chittussiho 10, Ostrava Slezska 71000, Czech Republic
Univ Nacl Autonoma Mexico, Ctr Invest Geog Ambiental, Campus Morelia,Antigua Carretera Patzcuaro Num, Morelia, Mexico
Univ Nacl Autonoma Mexico, Unidad Michoacan, CONACYT, Inst Geofis, Antigua Carretera Patzcuaro 8701, Morelia, Michoacan, Mexico
Hirosaki Univ, Fac Agr & Life Sci, Hirosaki, 0368561, Japan
Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China
ISSN: 03418162
Editorial
Elsevier, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, Países Bajos
Tipo de documento: Article
Volumen: 234 Número:
Páginas:
WOS Id: 001087568000001
imagen Bronze, All Open Access; Bronze

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