Disaster risk reduction in mountain areas: a research overview

Ayala, Irasema Alcántara; Cui, Peng; Pasuto, Alessandro

doi:10.1007/s11629-022-7487-2

Cited by 5 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mountainscapes face multiple challenges, not only for their propensity to disaster risk and increased rate of geological hazards occurring in the mountain en-vironment-i.e., mass wasting, snow avalanche, flash flooding-induced glacial ablation, rock fall, 0 °C isotherm rise to high altitude, fires, volcanic eruptions, and forest dieback (Alcántara-Ayala et al, 2022b) but also for their intrinsic contentious community's dynamics (Debarbieux & Rudaz, 2010).…”

Section: Transdisciplinary Implications and Theoretical Approachesmentioning

confidence: 99%

La Montología Global 4D: Hacia las Ciencias Convergentes y Transdisciplinarias de Montaña a través del Tiempo y el Espacio

Sarmiento,

Haller,

Marchant

et al. 2023

pirineos

View full text Add to dashboard Cite

La utilización de los estudios de montaña requiere de narrativas integradoras para la geoalfabetización sobre paisajes socioecológicos productivos y motiva más investigaciones transdisciplinares en el campo de la montología. Concebimos este artículo como la confluencia de la experiencia individual y el razonamiento colectivo hacia la formación de grupos de investigación sinérgicos que se ocupan de la ciencia de montaña convergente, para hacer avanzar la montología a un nuevo nivel, mediante el cual el pensamiento innovador sobre la ciencia de la sustentabilidad y el desarrollo regenerativo incorpora propuestas alternativas para el mantenimiento, la mejora, o regeneración de las condiciones de vida de los paisajes de montaña. Buscamos utilizar este marco contemporáneo de sustentabilidad y restauración ecológica como el ímpetu para comprender mejor las relaciones de la naturaleza y la cultura, desde una perspectiva transdisciplinar, en montañas habitadas que operan en cuatro dimensiones (largo, ancho, alto y tiempo). El artículo está orientado a potenciar la transversalidad de temáticas en torno a las montañas como sistemas socioecológicos productivos, en una nueva disciplina académica institucionalizada y convergente. Concluimos con un llamado a un desarrollo regenerativo, sustentable y consiliente en las montañas del mundo.

show abstract

Section: Transdisciplinary Implications and Theoretical Approachesmentioning

confidence: 99%

La Montología Global 4D: Hacia las Ciencias Convergentes y Transdisciplinarias de Montaña a través del Tiempo y el Espacio

Sarmiento,

Haller,

Marchant

et al. 2023

pirineos

View full text Add to dashboard Cite

show abstract

“…This method focuses on building the functional relationship between landslide environmental variables and existing landslide inventories, and further realize the quantitative or qualitative assessment of the spatial possibility of landslide occurrence under a set of geological/ geographical environmental conditions (Guzzetti et al, 2005;2006a;2006b;Reichenbach et al, 2018). SLSM can be used to effectively predict and identify locations prone to landslides on the regional scale (Alcántara-Ayala et al, 2022), and its results can provide indispensable information for various tasks, such as landslide risk assessment, formulation of disaster reduction measures, and land use planning (van Westen et al, 2008;Erener et al, 2016;Huang et al, 2019;Zhang et al, 2022). In recent years, it has gradually become a hot topic of geological hazard research on a global scale Huang et al, 2021a).…”

Section: Introductionmentioning

confidence: 99%

Application of environmental variables in statistically-based landslide susceptibility mapping: A review

Zhao

Huang

et al. 2023

Front. Earth Sci.

View full text Add to dashboard Cite

Environmental variables are crucial factors affecting the development and distribution of landslides, and they also provide vitally important information for statistically-based landslide susceptibility mapping (SLSM). The acquisition and utilization of appropriate and the most influential environmental variables and their combinations are crucial for improving the quality of SLSM results. However, compared with the construction of SLSM models based on machine learning, the acquisition and utilization of high-quality environmental variables have received very little attention. In order to further clarify the research status of the application of environmental variables and possible development directions in future research, this study systematically analyzed the application of environmental variables in SLSM. To this end, a literature database was constructed by collecting 261 peer-reviewed articles (from 2002 to 2021) on SLSM from the Web of Science and CNKI platform (www.cnki.net) based on the keywords of “landslide susceptibility” and “environmental variable.” We found that existing methods for determining environmental variables do not consider the regional representativeness and geomorphological significance of the variables. We also found that at present, environmental variables are utilized generally without the realization and understanding of their spatial heterogeneity. Accordingly, this study raises two major scientific issues: 1) Effective identification of important environmental variables required in SLSM. 2) Effective representation of the spatial heterogeneity of environmental variables in SLSM modeling. From the perspective of the identification of dominant variables and their geospatial pattern of heterogeneity, targeted solutions for future research are also preliminarily discussed, including the method for identifying dominant variables from qualitative and quantitative perspectives and SLSM model construction considering the specific geospatial patterns. In addition, the applicability and limitation of the mentioned methods are discussed.

show abstract

Disaster risk reduction in mountain areas: a research overview

2022

Self Cite

View full text Add to dashboard Cite

This paper gives an account of the diverse dimensions of research on disaster risk reduction in mountain regions derived from an open call of the Journal of Mountain Science that brought 21 contributions. This special issue includes topics as diverse as landslide dynamics and mechanisms, landslide inventories and landslide susceptibility models, insights to landslide hazards and disasters and mitigation measures, disaster response and disaster risk reduction. The overall structure of the paper takes the form of three sections. The first part begins by laying out the significance of disaster risk reduction in mountain areas, whereas the second one looks at the research insights on disaster risk reduction in mountains provided by the contributions comprised in the special volume. The final section identifies areas for further research.

show abstract

Disaster risk reduction in mountain areas: a research overview

Cited by 5 publications

References 30 publications

La Montología Global 4D: Hacia las Ciencias Convergentes y Transdisciplinarias de Montaña a través del Tiempo y el Espacio

La Montología Global 4D: Hacia las Ciencias Convergentes y Transdisciplinarias de Montaña a través del Tiempo y el Espacio

Application of environmental variables in statistically-based landslide susceptibility mapping: A review

Disaster risk reduction in mountain areas: a research overview

Contact Info

Product

Resources

About