Articles | Volume 4, issue 1
https://doi.org/10.5194/esurf-4-237-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esurf-4-237-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Mar 2016
Research article |
| 10 Mar 2016
Modelling sediment clasts transport during landscape evolution
Sébastien Carretier
CORRESPONDING AUTHOR
IRD, UR 234, GET, 14 avenue E. Belin, 31400, Toulouse, France
Université de Toulouse, UPS, GET, 14 avenue E. Belin, 31400 Toulouse, France
CNRS, GET, 14 avenue E. Belin, 31400, Toulouse, France
Department of Geology, FCFM, Universidad de Chile, Santiago, Chile
Pierre Martinod
IRD, UR 234, GET, 14 avenue E. Belin, 31400, Toulouse, France
Université de Toulouse, UPS, GET, 14 avenue E. Belin, 31400 Toulouse, France
CNRS, GET, 14 avenue E. Belin, 31400, Toulouse, France
Department of Geology, FCFM, Universidad de Chile, Santiago, Chile
Martin Reich
Department of Geology, FCFM, Universidad de Chile, Santiago, Chile
Andean Geothermal Center of Excellence (CEGA), FCFM, Universidad de Chile, Santiago, Chile
Yves Godderis
CNRS, GET, 14 avenue E. Belin, 31400, Toulouse, France
Université de Toulouse, UPS, GET, 14 avenue E. Belin, 31400 Toulouse, France
IRD, UR 234, GET, 14 avenue E. Belin, 31400, Toulouse, France
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- A landslide runout model for sediment transport, landscape evolution, and hazard assessment applications J. Keck et al. https://doi.org/10.5194/esurf-12-1165-2024
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- The CAIRN method: automated, reproducible calculation of catchment-averaged denudation rates from cosmogenic nuclide concentrations S. Mudd et al. https://doi.org/10.5194/esurf-4-655-2016
- Along‐Stream Variations in Valley Flank Erosion Rates Measured Using 10Be Concentrations in Colluvial Deposits From Canyons in the Atacama Desert V. Zavala et al. https://doi.org/10.1029/2020GL089961
- Badland distribution as a marker of rapid tectonic activity C. Yang et al. https://doi.org/10.1038/s41598-025-00795-9
- Short Communication: Numerically simulated time to steady state is not a reliable measure of landscape response time N. Gasparini et al. https://doi.org/10.5194/esurf-12-1227-2024
- Reconstructing landscapes: an adjoint model of the stream power and diffusion erosion equation C. Petit et al. https://doi.org/10.5194/esurf-13-1263-2025
- ConcentrationTracker: Landlab components for tracking material concentrations in sediment L. Roberge et al. https://doi.org/10.5194/gmd-19-1387-2026
- Modelling detrital cosmogenic nuclide concentrations during landscape evolution in Cidre v2.0 S. Carretier et al. https://doi.org/10.5194/gmd-16-6741-2023
- The role of infrequently mobile boulders in modulating landscape evolution and geomorphic hazards C. Shobe et al. https://doi.org/10.1016/j.earscirev.2021.103717
- Theoretical and numerical considerations of rivers in a tectonically inactive foreland S. Hergarten https://doi.org/10.5194/esurf-10-671-2022
- A Review on Bank Retreat: Mechanisms, Observations, and Modeling K. Zhao et al. https://doi.org/10.1029/2021RG000761
- Hillslope grain size variation across evolving landscapes linked to climate, tectonics and lithology T. Li et al. https://doi.org/10.1002/esp.70111
- The distribution of sediment residence times at the foot of mountains and its implications for proxies recorded in sedimentary basins S. Carretier et al. https://doi.org/10.1016/j.epsl.2020.116448
- Morphotectonic Evolution of an Alluvial Fan: Results of a Joint Analog and Numerical Modeling Approach C. Garcia-Estève et al. https://doi.org/10.3390/geosciences11100412
- Fluvial landscape evolution controlled by the sediment deposition coefficient: Estimation from experimental and natural landscapes L. Guerit et al. https://doi.org/10.1130/G46356.1
- Short communication: Analytical models for 2D landscape evolution P. Steer https://doi.org/10.5194/esurf-9-1239-2021
- eSCAPE: Regional to Global Scale Landscape Evolution Model v2.0 T. Salles https://doi.org/10.5194/gmd-12-4165-2019
- Times Associated With Source-to-Sink Propagation of Environmental Signals During Landscape Transience S. Tofelde et al. https://doi.org/10.3389/feart.2021.628315
- Effects of relief on headwater catchment landscapes H. Chen & J. Byun https://doi.org/10.1016/j.geomorph.2025.109969
- Developing and exploring a theory for the lateral erosion of bedrock channels for use in landscape evolution models A. Langston & G. Tucker https://doi.org/10.5194/esurf-6-1-2018
- Comparing the transport-limited and ξ–q models for sediment transport J. Braun https://doi.org/10.5194/esurf-10-301-2022
- Simulation of Industrial Wastewater Treatment from the Suspended Impurities into the Flooded Waste Mining Workings L. Bondareva et al. https://doi.org/10.1088/1757-899X/189/1/012011
- Nonlocal Sediment Transport on Steep Lateral Moraines, Eastern Sierra Nevada, California, USA T. Doane et al. https://doi.org/10.1002/2017JF004325
- Influence of orographic precipitation on the topographic and erosional evolution of mountain ranges V. Zavala et al. https://doi.org/10.1111/bre.12443
- Controls on the grain size distribution of landslides in Taiwan: the influence of drop height, scar depth and bedrock strength O. Marc et al. https://doi.org/10.5194/esurf-9-995-2021
- GraphFlood 1.0: an efficient algorithm to approximate 2D hydrodynamics for landscape evolution models B. Gailleton et al. https://doi.org/10.5194/esurf-12-1295-2024
- CHONK 1.0: landscape evolution framework: cellular automata meets graph theory B. Gailleton et al. https://doi.org/10.5194/gmd-17-71-2024
- HyLands 1.0: a hybrid landscape evolution model to simulate the impact of landslides and landslide-derived sediment on landscape evolution B. Campforts et al. https://doi.org/10.5194/gmd-13-3863-2020
- Grain size dynamics using a new planform model – Part 1: GravelScape description and validation A. Wild et al. https://doi.org/10.5194/esurf-13-875-2025
- Short communication: Landlab v2.0: a software package for Earth surface dynamics K. Barnhart et al. https://doi.org/10.5194/esurf-8-379-2020
- Colluvial deposits as a possible weathering reservoir in uplifting mountains S. Carretier et al. https://doi.org/10.5194/esurf-6-217-2018
- Terrainbento 1.0: a Python package for multi-model analysis in long-term drainage basin evolution K. Barnhart et al. https://doi.org/10.5194/gmd-12-1267-2019
- Self-organization of channels and hillslopes in models of fluvial landform evolution and its potential for solving scaling issues S. Hergarten & A. Pietrek https://doi.org/10.5194/esurf-11-741-2023
- The SPACE 1.0 model: a Landlab component for 2-D calculation of sediment transport, bedrock erosion, and landscape evolution C. Shobe et al. https://doi.org/10.5194/gmd-10-4577-2017
- Earthquake-induced landslides coupled to fluvial incision in Andean Patagonia: Inferring their effects on landscape at geological time scales B. Morales et al. https://doi.org/10.1016/j.geomorph.2023.108731
- The Art of Landslides: How Stochastic Mass Wasting Shapes Topography and Influences Landscape Dynamics B. Campforts et al. https://doi.org/10.1029/2022JF006745
- Post-glacial reshaping of Alpine topography induced by landsliding C. Ariagno et al. https://doi.org/10.5194/esurf-13-1109-2025
Saved (final revised paper)
Latest update: 06 Sep 2026
Short summary
We introduce moving clasts (grains, minerals, cobbles) in a landscape evolution model.
This coupling has many potential applications, such as sediment provenance or the tracing of weathered material. It fills a gap between long-term landscape dynamics, which are difficult to tackle, and sediment clast populations studied in the field.
We introduce moving clasts (grains, minerals, cobbles) in a landscape evolution model.
This...
