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Sensitivity of the landslide model LAPSUS_LS to vegetation and soil parameters

Lorenzo MW Rossi; Bruno Rapidel; Olivier Roupsard; Mario Villatoro-Sanchez; Zhun Mao; Jerome Nespolous; Jerome Perez; Ivan Prieto; Catherine Roumet; Klaas Metselaar; Jerome Schoorl; Lieven Claessens; Alexia Stokes


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    "description": "<p>The influence of vegetation on slope stability is well understood at the slope level but scaling up to the catchment<br>\nlevel is still a challenge, partially because of a lack of suitable data to validate models. We tested the physical<br>\nlandslide model, LAPSUS_LS, which models slope stability at the catchment scale. LAPSUS_LS combines a hydrological<br>\nmodel with a Limit Equilibrium Method model, and calculates the factor of safety of individual cells<br>\nbased on their hydrological and geomorphological characteristics. We tested two types of vegetation on slope<br>\nstability: (i) coffee monoculture (Coffea arabica) and (ii) a mixed plantation of coffee and deep rooting Erythrina<br>\n(Erythrina poeppigiana) trees. Using soil and root data from Costa Rica, we performed simulations to test the<br>\nresponse of LAPSUS_LS to root reinforcement, soil bulk density, transmissivity, internal friction angle and depth<br>\nof shear plane. Furthermore, we modified the model to include biomass surcharge effect in the calculations.<br>\nResults show that LAPSUS_LS was most sensitive to changes in additional cohesion from roots. When the depth of<br>\nthe shear plane was fixed at 1.0 m, slopes were not unstable. However, when the shear plane was fixed to 1.5 m,<br>\nthe mixed plantation of coffee and trees stabilized slopes, but the coffee monoculture was highly unstable,<br>\nbecause root reinforcement was low at a depth of 1.5 m. Soil transmissivity had a limited impact on the results<br>\ncompared to bulk density and internal friction angle. Biomass surcharge did not have any significant effect on<br>\nthe simulations. In conclusion, LAPSUS_LS responded well to the soil and vegetation input data, and is a suitable<br>\ncandidate for modeling the stability of vegetated slopes at the catchment level.</p>", 
    "license": {
      "id": "CC-BY-4.0"
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    "title": "Sensitivity of the landslide model LAPSUS_LS to vegetation and soil parameters", 
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    "keywords": [
      "Modeling", 
      "Cohesion", 
      "Roots", 
      "Soil", 
      "Transmissivity", 
      "Bulk density", 
      "Slope stability"
    ], 
    "publication_date": "2017-08-12", 
    "creators": [
      {
        "affiliation": "INRA-AMAP / UNICAS", 
        "name": "Lorenzo MW Rossi"
      }, 
      {
        "affiliation": "CIRAD", 
        "name": "Bruno Rapidel"
      }, 
      {
        "affiliation": "CIRAD / CATIE", 
        "name": "Olivier Roupsard"
      }, 
      {
        "affiliation": "CIA, Ciudad de la Investigaci\u00f3n, Universidad de Costa Rica", 
        "name": "Mario Villatoro-Sanchez"
      }, 
      {
        "affiliation": "INRA-AMAP", 
        "name": "Zhun Mao"
      }, 
      {
        "affiliation": "INRA - AMAP", 
        "name": "Jerome Nespolous"
      }, 
      {
        "affiliation": "INRA - AMAP", 
        "name": "Jerome Perez"
      }, 
      {
        "affiliation": "CNRS - CEFE / CEBAS-CSIC", 
        "name": "Ivan Prieto"
      }, 
      {
        "affiliation": "CNRS - CEFE", 
        "name": "Catherine Roumet"
      }, 
      {
        "affiliation": "Wageningen University", 
        "name": "Klaas Metselaar"
      }, 
      {
        "affiliation": "Wageningen University", 
        "name": "Jerome Schoorl"
      }, 
      {
        "affiliation": "Wageningen University / ICRISAT", 
        "name": "Lieven Claessens"
      }, 
      {
        "affiliation": "INRA - AMAP", 
        "name": "Alexia Stokes"
      }
    ], 
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