Modelling & reconstruction of landscape evolution and landslide dynamics

Rationale:
In our group a considerable amount of landscape system modelling and landscape evolution modelling experience has been gained over the past years (e.g. LAPSUS-LS). A major problem is lack of suitable data sets which allow calibration and validation of such models at the appropriate temporal and spatial resolution and extent.
So far it has been impossible to separate water driven surface erosion from gravity driven landslide components in current landscape evolution studies and modelling approaches. Furthermore, it is important to understand the human induced erosion sediment contribution.

To solve the aforementioned issues we proposed to study the landscape process dynamics of the 763.4 km2 Shihmen watershed (Taiwan). Our results will contribute to a better understanding of the sediment supply of rivers draining mountainous catchments. In addition, It is of societal relevance to understand to what extent the river sediment supply can be controlled by managing human factors to prevent damage to (drinking) water reservoirs. The study has given insight in the adaptive capacity of mountainous areas.

Future and ongoing research on landslide modelling is ongoing in Italy, France, Peru See our recent publications:

References:
Giarola, A., Schoorl, J.M., Baartman, J.E.M., Bordoni, M., Tarolli, P., Zucca, F., Heckmann, T., Meisina, C., 2024. Exploiting the land use to predict shallow landslide susceptibility: A probabilistic implementation of LAPSUS-LS. Catena 246. https://doi.org/10.1016/j.catena.2024.108437

Rossi, L.M.W., Rapidel, B., Roupsard, O., Villatoro-sánchez, M., Mao, Z., Nespoulous, J., Perez, J., Prieto, I., Roumet, C., Metselaar, K., Schoorl, J.M., Claessens, L., Stokes, A. 2017. Sensitivity of the landslide model LAPSUS_LS to vegetation and soil parameters. Ecological Engineering 109, 249-255. https://doi.org/10.1016/j.ecoleng.2017.08.010

De Sy, V., Schoorl, J.M., Keesstra, S.D., Jones, K.E., Claessens, L., 2013. Landslide model performance in a high resolution small-scale landscape. Geomorphology 190, 73-81. https://doi.org/10.1016/j.geomorph.2013.02.012

Keijsers, J.G.S., Schoorl, J.M., Chang, K.-T., Chiang, S.-H., Claessens, L., Veldkamp, A., 2011. Calibration and resolution effects on model performance for predicting shallow landslide locations in Taiwan. Geomorphology 133 (3-4), 168-177. https://doi.org/10.1016/j.geomorph.2011.03.020

Claessens, L., Schoorl, J.M. and A. Veldkamp. 2007. Modelling the location of shallow landslides and their effects on landscape dynamics in large watersheds: an application for Northern New Zealand. Geomorphology 87 (1-2), 16–27. https://doi.org/10.1016/j.geomorph.2006.06.039

Claessens,L., D.J. Lowe, B.W. Hayward, B.F. Schaap, J.M. Schoorl and A. Veldkamp, 2006. Reconstructing high-magnitude/low-frequency landslide events based on soil redistribution modelling and a Late-Holocene sediment record from New Zealand. Geomorphology 74, 29-49. https://doi.org/10.1016/j.geomorph.2005.07.008

Claessens, L., Heuvelink, G.B.M., Schoorl, J.M., Veldkamp, A., 2005. DEM resolution effects on shallow landslide hazard and soil redistribution modelling. Earth Surface Processes and Landforms 30, 461-477. https://doi.org/10.1002/esp.1155

Schoorl, J.M.,Veldkamp, A. & J. Bouma. 2002. Modeling Water and Soil Redistribution in a Dynamic Landscape Context. Soil Science Society of America Journal 66: 1610-1619. https://doi.org/10.2136/sssaj2002.1610

Schoorl, J.M., M.P.W. Sonneveld & A. Veldkamp, 2000. Three-dimensional landscape process modelling: the effect of DEM resolution. Earth Surface Processes and Landforms 25, 1025-1034. https://doi.org/10.1002/1096-9837(200008)25:9<1025::AID-ESP116>3.0.CO;2-Z