Former Group Members
Dr. Jean-Baptiste Bosson, PhD (2010 – 2016). The number of small debris-covered glaciers in high relief and permafrost environments is increasing in the current climatic context. In comparison with bare-ice glaciers, these systems experiences particular responses to climatic forcing due to the influence of debris, permafrost conditions and topography. This contribution synthesizes the existing literature and the results of five years of field researches on these complex and understudied systems. While glacial (and deglaciation) dynamics where observed, some systems illustrated the transition from glacial to periglacial morphodynamics, and thus, the local increase of resilience to ongoing warming. More details here.
Dr. Nicola Deluigi, PhD (2013 – 2018). The objective of the thesis was the systematic and detailed investigation of the potential of data-driven techniques for mountain permafrost distribution modelling. Among the applied machine learning algorithms, Random Forest demonstrated to be efficient for permafrost distribution modelling thanks to consistent results that are comparable to the field observations. The employment of environmental variables illustrating the micro-topography and the ground characteristics (such as curvature indices, NDVI or grain size) favoured the prediction of the permafrost distribution at the micro scale (scale of a specific landform; tens to several hundreds of metres). A probability map was finally computed without recurring to altitude thresholds (above which permafrost may be found) and the representation of the strong discontinuity of mountain permafrost at the micro scale was well respected. More details here.
Dr. Elisa Giaccone, PhD (2016 – 2020). Within my doctoral Thesis I investigated the relationships between geomorphology and alpine vegetation. More in detail, I quantified how morphodynamics of landforms and earth surface processes (solifluction, rill erosion, nivation and frost weathering) affect plant communities and species richness. Another part of my research focused on the development of a methodology to obtain a granulometry classification starting from high resolution images, as well as the elaboration of a semi-automated method to map geomorphological landforms using multiple point geostatistics approach and Random Forest. More details here.