Mathematical models of long-term peatland development have been produced to analyse peatland behaviour. However, existing models ignore the mechanical processes that have the potential to provide important feedback. Here, we propose a one-dimensional model, MPeat, that couples mechanical, ecological and hydrological processes via poroelasticity theory, which couples fluid flow and solid deformation. Poroelasticity formulation in the MPeat is divided into two categories, fully saturated and unsaturated. To validate this formulation, we compare numerical solutions of the fully saturated case with analytical solutions of Terzaghi's problem. Two groups of MPeat simulations are run over 6,000 years using constant and variable climate, and the re...
The Holocene Peatland Model (HPM) (Frolking et al. 2009, Frolking et al. in prep.) is a recently dev...
Key Points: • Land use such as agriculture and peat extraction alter the physical and hydraulic p...
Sherpa Romeo green journal. Permission to archive final published versionImproved predictive capaci...
Mathematical models of long-term peatland development have been produced to analyse peatland behavio...
Peatlands are complex systems that exhibit nonlinear dynamics due to internal and external feedback ...
Using a literature review, we argue that new models of peatland development are needed. Many existin...
Peatland carbon and water cycling are tightly coupled, so dynamic modeling of peat accumulation over...
A new conceptual approach to modelling peatlands, DigiBog, involves a Complex Adaptive Systems consi...
Peatland ecosystems are globally important carbon and terrestrial surface water stores that have for...
We present a new model that simulates coupled carbon and water dynamics of northern peatlands at an ...
Understanding the development of northern peatlands and their carbon accumulation dynamics is crucia...
We present a new model that simulates coupled carbon and water dynamics of northern peatlands at an ...
Peatland biogeochemical processes have not been adequately represented in existing earth system mode...
Peat soils consist of poorly decomposed plant detritus, preserved by low decay rates, and deep peat ...
The water content of the topsoil is one of the key factors controlling biogeochemical processes, gre...
The Holocene Peatland Model (HPM) (Frolking et al. 2009, Frolking et al. in prep.) is a recently dev...
Key Points: • Land use such as agriculture and peat extraction alter the physical and hydraulic p...
Sherpa Romeo green journal. Permission to archive final published versionImproved predictive capaci...
Mathematical models of long-term peatland development have been produced to analyse peatland behavio...
Peatlands are complex systems that exhibit nonlinear dynamics due to internal and external feedback ...
Using a literature review, we argue that new models of peatland development are needed. Many existin...
Peatland carbon and water cycling are tightly coupled, so dynamic modeling of peat accumulation over...
A new conceptual approach to modelling peatlands, DigiBog, involves a Complex Adaptive Systems consi...
Peatland ecosystems are globally important carbon and terrestrial surface water stores that have for...
We present a new model that simulates coupled carbon and water dynamics of northern peatlands at an ...
Understanding the development of northern peatlands and their carbon accumulation dynamics is crucia...
We present a new model that simulates coupled carbon and water dynamics of northern peatlands at an ...
Peatland biogeochemical processes have not been adequately represented in existing earth system mode...
Peat soils consist of poorly decomposed plant detritus, preserved by low decay rates, and deep peat ...
The water content of the topsoil is one of the key factors controlling biogeochemical processes, gre...
The Holocene Peatland Model (HPM) (Frolking et al. 2009, Frolking et al. in prep.) is a recently dev...
Key Points: • Land use such as agriculture and peat extraction alter the physical and hydraulic p...
Sherpa Romeo green journal. Permission to archive final published versionImproved predictive capaci...