Sensitivity of the landslide model LAPSUS_LS to vegetation and soil parameters

Rossi L.M.W., Rapidel Bruno, Roupsard Olivier, Villatoro-Sánchez Mario, Mao Zhun, Nespoulous Jérôme, Perez Jean-Marc, Prieto Iván, Roumet Catherine, 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 (Part B) : pp. 249-255.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
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Quartile : Q2, Sujet : ECOLOGY / Quartile : Q2, Sujet : ENVIRONMENTAL SCIENCES / Quartile : Q2, Sujet : ENGINEERING, ENVIRONMENTAL

Abstract : The influence of vegetation on slope stability is well understood at the slope level but scaling up to the catchment level is still a challenge, partially because of a lack of suitable data to validate models. We tested the physical landslide model, LAPSUS_LS, which models slope stability at the catchment scale. LAPSUS_LS combines a hydrological model with a Limit Equilibrium Method model, and calculates the factor of safety of individual cells based on their hydrological and geomorphological characteristics. We tested two types of vegetation on slope stability: (i) coffee monoculture (Coffea arabica) and (ii) a mixed plantation of coffee and deep rooting Erythrina (Erythrina poeppigiana) trees. Using soil and root data from Costa Rica, we performed simulations to test the response of LAPSUS_LS to root reinforcement, soil bulk density, transmissivity, internal friction angle and depth of shear plane. Furthermore, we modified the model to include biomass surcharge effect in the calculations. Results show that LAPSUS_LS was most sensitive to changes in additional cohesion from roots. When the depth of the shear plane was fixed at 1.0 m, slopes were not unstable. However, when the shear plane was fixed to 1.5 m, the mixed plantation of coffee and trees stabilized slopes, but the coffee monoculture was highly unstable, because root reinforcement was low at a depth of 1.5 m. Soil transmissivity had a limited impact on the results compared to bulk density and internal friction angle. Biomass surcharge did not have any significant effect on the simulations. In conclusion, LAPSUS_LS responded well to the soil and vegetation input data, and is a suitable candidate for modeling the stability of vegetated slopes at the catchment level. (Résumé d'auteur)

Mots-clés Agrovoc : Montagne, Stabilisation du sol, Coffea arabica, Erythrina poeppigiana, Culture associée, Monoculture, Pratique culturale, Enracinement, couverture du sol, Méthode statistique, Modèle mathématique

Mots-clés géographiques Agrovoc : Costa Rica

Classification Agris : P36 - Soil erosion, conservation and reclamation
F08 - Cropping patterns and systems
U10 - Computer science, mathematics and statistics

Champ stratégique Cirad : Axe 6 (2014-2018) - Sociétés, natures et territoires

Agence(s) de financement européenne(s) : European Commission

Programme de financement européen : H2020

Projet(s) de financement européen(s) : Training Engineers and Researchers to Rethink geotechnical Engineering for a low carbon future

Auteurs et affiliations

  • Rossi L.M.W., INRA (FRA)
  • Rapidel Bruno, CIRAD-PERSYST-UMR SYSTEM (CRI) ORCID: 0000-0003-0288-5650
  • Roupsard Olivier, CIRAD-PERSYST-UMR Eco&Sols (CRI)
  • Villatoro-Sánchez Mario, UCR (CRI)
  • Mao Zhun, INRA (FRA)
  • Nespoulous Jérôme, INRA (FRA)
  • Perez Jean-Marc, INRA (FRA)
  • Prieto Iván, CNRS (FRA)
  • Roumet Catherine, CNRS (FRA)
  • Metselaar K., Wageningen University (NLD)
  • Schoorl J.M., Wageningen University (NLD)
  • Claessens L., ICRISAT (KEN)
  • Stokes A., INRA (FRA)

Source : Cirad-Agritrop (

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