Understanding hydrometeorological triggers of natural hazards through dendrogeomorphology: Methods, limitations, and challenges
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F23%3AA2402M0L" target="_blank" >RIV/61988987:17310/23:A2402M0L - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0012825223002350" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0012825223002350</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.earscirev.2023.104546" target="_blank" >10.1016/j.earscirev.2023.104546</a>
Alternative languages
Result language
angličtina
Original language name
Understanding hydrometeorological triggers of natural hazards through dendrogeomorphology: Methods, limitations, and challenges
Original language description
Dendrogeomorphology, the dating of geomorphic activity using tree-ring records, is widely employed in forested landscapes impacted by natural hazards, often applied to identify the primary hydrometeorological triggers of such activity. However, the climate background of these papers is frequently imbalanced and necessitates attention and a comprehensive review of the methods and data utilized. This study reviewed 121 papers analysing landslide, debris flow, and snow avalanche reconstructions in conjunction with climate variables. The review assessed the spatial distribution of study sites, uncertainties in dendrogeomorphic and climate data processing, data interpretation, and statistical analysis. While Central Europe, the European Alps, and North American mountain systems have been extensively studied, several regions such as Northern and Southern Europe, the West coast of North America, South Africa, Patagonia, Australia, and New Zealand are still awaiting similar research. Since dendrogeomorphic reconstructions provide information about the year or season of geomorphic activity rather than the specific date, the search for the correct trigger should primarily rely on probability models to identify the most explanatory climate variables. This aspect of landslide dendrogeomorphic research is currently undervalued compared to studies on debris flows and snow avalanches.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10508 - Physical geography
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
EARTH-SCIENCE REVIEWS
ISSN
0012-8252
e-ISSN
1872-6828
Volume of the periodical
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Issue of the periodical within the volume
September
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
23
Pages from-to
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UT code for WoS article
001069723200001
EID of the result in the Scopus database
2-s2.0-85171479758