Abstract

Peatlands have often been neglected in Earth System Models (ESMs). Where they are included, they are usually represented via a separate, prescribed grid cell fraction that is given the physical characteristics of a peat (highly organic) soil. However, in reality soils vary on a spectrum between purely mineral soil (no organic material), and purely organic soil, typically with an organic layer of variable thickness overlying mineral soil below. They are also dynamic, with organic layer thickness and its properties changing over time. Neither the spectrum of soil types nor their dynamic nature can be captured by current ESMs. Here we present a new version of an ESM land surface scheme (Joint UK Land Environment Simulator, JULES) where soil organic matter accumulation - and thus peatland formation, degradation and stability – is integrated in the vertically-resolved soil carbon scheme. We also introduce the capacity to track soil carbon age as a function of depth in JULES, and compare this to measured peat age-depth profiles. This scheme simulates dynamic feedbacks between the soil organic material and its thermal and hydraulic characteristics. We show that draining the peatlands can lead to significant carbon loss along with soil compaction and changes in peat properties. However, negative feedbacks can lead to the potential for peatlands to rewet themselves following drainage. These ecohydrological feedbacks can also lead to peatlands maintaining themselves in climates where peat formation would not otherwise initiate in the model, i.e. displaying some degree of resilience. The new model produces similar results to the original model for mineral soils, and realistic profiles of soil organic carbon for peatlands. In particular the best performing configurations had root mean squared error (RMSE) in carbon density for peat sites of 7.7–16.7 kgC m−3 depending on climate zone, when compared against typical peat profiles based on 216 sites from a global dataset of peat cores. This error is considerably smaller than the soil carbon itself (around 30–60 kgC m−3) and reduced by 35–80 % compared with standard JULES. The RMSE at mineral soil sites is also smaller in JULES-Peat than JULES itself (reduced by ~30–50 %). Thus JULES-Peat can be used as a complete scheme that simulates both organic and mineral soils. It does not require any additional input data and introduces minimal additional variables to the model. This provides a new approach for improving the simulation of organic and peatland soils, and associated carbon-cycle feedbacks in ESMs, which other land surface models could follow.

Highlights

  • Peatlands are extremely carbon-dense ecosystems, occupying only around 3% of the land surface but storing up to 30% of the vast soil carbon stock (Frolking et al, 2011)

  • JULES is the land surface model used in the UK Earth System Model (UKESM) (Sellar et al, 2019)

  • The new model version is able to simulate a profile that resembles a mineral soil, despite forming peaty profiles at a few of the sites, especially 350 Hainich and Carlow

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Summary

Introduction

Peatlands are extremely carbon-dense ecosystems, occupying only around 3% of the land surface but storing up to 30% of the vast soil carbon stock (Frolking et al, 2011). Models have simulated such a coupling with a limited set of parameters (Koven 55 et al, 2009), but none have produced a fully coupled version Since these dynamics are driven by changes in the vertical structure of the soil organic matter, it is important to resolve the vertical profile of soil carbon (as opposed to a scheme where the soil carbon is treated as a single ‘box’, e.g. JULES-CN in Wiltshire et al (2021)). In this paper we present a new scheme that resolves these issues, allowing vertical accumulation of peat and dynamic coupling between thermal and hydraulic soil properties This scheme is implemented and demonstrated in the JULES land 70 surface model. The new methods and relationships we use in this model can be used to improve other land surface schemes

Overview of standard JULES
Modification to decomposition functions
Change of soil column height
Simulating the age profile
Coupling between properties and C concentration
Simulations and evaluation data
Representation of mineral soils
Drainage, subsidence and feedbacks between hydrology and soil carbon
Multiple steady states
Next steps for modelling global peatlands
Conclusions and outlook
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