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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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  <identifier identifierType="URL">https://zenodo.org/record/3243257</identifier>
  <creators>
    <creator>
      <creatorName>Lorenzo MW Rossi</creatorName>
      <affiliation>INRA-AMAP / UNICAS</affiliation>
    </creator>
    <creator>
      <creatorName>Bruno Rapidel</creatorName>
      <affiliation>CIRAD</affiliation>
    </creator>
    <creator>
      <creatorName>Olivier Roupsard</creatorName>
      <affiliation>CIRAD / CATIE</affiliation>
    </creator>
    <creator>
      <creatorName>Mario Villatoro-Sanchez</creatorName>
      <affiliation>CIA, Ciudad de la Investigación, Universidad de Costa Rica</affiliation>
    </creator>
    <creator>
      <creatorName>Zhun Mao</creatorName>
      <affiliation>INRA-AMAP</affiliation>
    </creator>
    <creator>
      <creatorName>Jerome Nespolous</creatorName>
      <affiliation>INRA - AMAP</affiliation>
    </creator>
    <creator>
      <creatorName>Jerome Perez</creatorName>
      <affiliation>INRA - AMAP</affiliation>
    </creator>
    <creator>
      <creatorName>Ivan Prieto</creatorName>
      <affiliation>CNRS - CEFE / CEBAS-CSIC</affiliation>
    </creator>
    <creator>
      <creatorName>Catherine Roumet</creatorName>
      <affiliation>CNRS - CEFE</affiliation>
    </creator>
    <creator>
      <creatorName>Klaas Metselaar</creatorName>
      <affiliation>Wageningen University</affiliation>
    </creator>
    <creator>
      <creatorName>Jerome Schoorl</creatorName>
      <affiliation>Wageningen University</affiliation>
    </creator>
    <creator>
      <creatorName>Lieven Claessens</creatorName>
      <affiliation>Wageningen University / ICRISAT</affiliation>
    </creator>
    <creator>
      <creatorName>Alexia Stokes</creatorName>
      <affiliation>INRA - AMAP</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Sensitivity of the landslide model LAPSUS_LS to vegetation and soil parameters</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <subjects>
    <subject>Modeling</subject>
    <subject>Cohesion</subject>
    <subject>Roots</subject>
    <subject>Soil</subject>
    <subject>Transmissivity</subject>
    <subject>Bulk density</subject>
    <subject>Slope stability</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2017-08-12</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3243257</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.ecoleng.2017.08.010</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The influence of vegetation on slope stability is well understood at the slope level but scaling up to the catchment&lt;br&gt;
level is still a challenge, partially because of a lack of suitable data to validate models. We tested the physical&lt;br&gt;
landslide model, LAPSUS_LS, which models slope stability at the catchment scale. LAPSUS_LS combines a hydrological&lt;br&gt;
model with a Limit Equilibrium Method model, and calculates the factor of safety of individual cells&lt;br&gt;
based on their hydrological and geomorphological characteristics. We tested two types of vegetation on slope&lt;br&gt;
stability: (i) coffee monoculture (Coffea arabica) and (ii) a mixed plantation of coffee and deep rooting Erythrina&lt;br&gt;
(Erythrina poeppigiana) trees. Using soil and root data from Costa Rica, we performed simulations to test the&lt;br&gt;
response of LAPSUS_LS to root reinforcement, soil bulk density, transmissivity, internal friction angle and depth&lt;br&gt;
of shear plane. Furthermore, we modified the model to include biomass surcharge effect in the calculations.&lt;br&gt;
Results show that LAPSUS_LS was most sensitive to changes in additional cohesion from roots. When the depth of&lt;br&gt;
the shear plane was fixed at 1.0 m, slopes were not unstable. However, when the shear plane was fixed to 1.5 m,&lt;br&gt;
the mixed plantation of coffee and trees stabilized slopes, but the coffee monoculture was highly unstable,&lt;br&gt;
because root reinforcement was low at a depth of 1.5 m. Soil transmissivity had a limited impact on the results&lt;br&gt;
compared to bulk density and internal friction angle. Biomass surcharge did not have any significant effect on&lt;br&gt;
the simulations. In conclusion, LAPSUS_LS responded well to the soil and vegetation input data, and is a suitable&lt;br&gt;
candidate for modeling the stability of vegetated slopes at the catchment level.&lt;/p&gt;</description>
  </descriptions>
</resource>
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