Articles | Volume 12, issue 4
https://doi.org/10.5194/esurf-12-929-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-12-929-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Aug 2024
Research article |
| 20 Aug 2024
| 20 Aug 2024
MPeat2D – a fully coupled mechanical–ecohydrological model of peatland development in two dimensions
Adilan W. Mahdiyasa
CORRESPONDING AUTHOR
Department of Chemical and Environmental Engineering, University of Nottingham, University Park, Nottingham NG7 2RD, UK
Faculty of Mathematics and Natural Sciences, Bandung Institute of Technology, Bandung 40132, Indonesia
David J. Large
CORRESPONDING AUTHOR
Department of Chemical and Environmental Engineering, University of Nottingham, University Park, Nottingham NG7 2RD, UK
Matteo Icardi
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
Bagus P. Muljadi
Department of Chemical and Environmental Engineering, University of Nottingham, University Park, Nottingham NG7 2RD, UK
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Andrew V. Bradley, Roxane Andersen, Chris Marshall, Andrew Sowter, and David J. Large
Earth Surf. Dynam., 10, 261–277, https://doi.org/10.5194/esurf-10-261-2022, https://doi.org/10.5194/esurf-10-261-2022, 2022
Short summary
Short summary
The condition of peatland largely determines its capacity to store carbon, but peatland condition is not accurately known. Combining the knowledge of management, vegetation, and detecting differences in seasonal surface movement from satellite radar data, we map peat condition. In a blanket bog landscape we discovered the presence of wetter and dryer conditions, which could help guide restoration decisions, and we conclude that this approach could be transferred peat management worldwide.
Related subject area
Cross-cutting themes: Complex systems in Earth surface processes: nonlinear system dynamics and chaos, self-organisation, self-organised criticality
The direction of landscape erosion
Impacts of grazing on vegetation dynamics in a sediment transport complex model
Data-driven components in a model of inner-shelf sorted bedforms: a new hybrid model
Colin P. Stark and Gavin J. Stark
Earth Surf. Dynam., 10, 383–419, https://doi.org/10.5194/esurf-10-383-2022, https://doi.org/10.5194/esurf-10-383-2022, 2022
Short summary
Short summary
Landscape erosion is generally considered to take place vertically downward. Here, by writing gradient-driven erosion in Hamiltonian form, we show this is not true. Instead, we find it takes place in two directions simultaneously: (i) normal to the surface and (ii) along rays pointing upstream and either up or down depending on how erosion rate scales with slope. The rays follow the shortest time paths that determine how long it takes for a landscape to respond to changes in external conditions.
Phillipe Gauvin-Bourdon, James King, and Liliana Perez
Earth Surf. Dynam., 9, 29–45, https://doi.org/10.5194/esurf-9-29-2021, https://doi.org/10.5194/esurf-9-29-2021, 2021
Short summary
Short summary
Arid ecosystem health is a complex interaction between vegetation and climate. Coupled with impacts from grazing, it can result in quick changes in vegetation cover. We present a wind erosion and vegetation health model with active grazers over 100-year tests to find the limits of arid environments for different levels of vegetation, rainfall, wind speed, and grazing. The model shows the resilience of grass landscapes to grazing and its role as an improved tool for managing arid landscapes.
E. B. Goldstein, G. Coco, A. B. Murray, and M. O. Green
Earth Surf. Dynam., 2, 67–82, https://doi.org/10.5194/esurf-2-67-2014, https://doi.org/10.5194/esurf-2-67-2014, 2014
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Short summary
Mathematical models provide insight to analyse peatland behaviour. However, the omission of mechanical processes by the existing models leads to uncertainties in their outputs. We proposed a peatland growth model in 2D that incorporates mechanical, ecological, and hydrological factors, together with the effect of spatial heterogeneity on the peatland system. Our model might assist in understanding the complex interactions and the impact of climate change on the peatland carbon balance.
Mathematical models provide insight to analyse peatland behaviour. However, the omission of...
