Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Soil Organic Carbon (SOC) Equilibrium and Model Initialisation Methods: an Application to the Rothamsted Carbon (RothC) Model

Nemo, Katja Klumpp, K. Coleman, Marta Dondini, K. W. T. Goulding, Astley Hastings, Mike Jones, Jens Leifeld, Bruce Osborne, Matthew Saunders, T. Scott, Yit Arn Teh, Pete Smith

Environmental Modeling & Assessment · 2016

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Summary

This paper addresses a critical methodological challenge in applying the RothC soil carbon model: how to initialise the model's soil organic carbon pools when beginning a simulation. Using long-term experimental data from Rothamsted Research, the authors evaluated alternative initialisation strategies and their impact on model predictions of carbon equilibrium and temporal dynamics. The findings contribute to more robust application of RothC for assessing soil carbon responses to management and climate change, as suggested by the paper's methodology-focused scope.

UK applicability

As RothC was developed at Rothamsted Research and this work draws on Rothamsted's long-term experiments, the findings are directly applicable to UK farming systems and soil conditions. The improved initialisation methods should enhance the model's utility for UK-based carbon accounting, policy modelling, and land management assessments.

Key measures

Soil organic carbon pool dynamics; model equilibrium trajectories; initialisation method performance; carbon cycling predictions under different management scenarios

Outcomes reported

The study evaluated different methodological approaches to initialising soil organic carbon pools in the RothC model and assessed their effects on predictions of carbon equilibrium and model trajectory. The research drew on long-term experimental data to compare initialisation strategies and their robustness under varying management and climate scenarios.

Theme
Measurement & metrics
Subject
Soil carbon & organic matter
Study type
Research
Study design
Field trial with model comparison
Source type
Peer-reviewed study
Status
Published
Geography
United Kingdom
System type
Mixed farming
DOI
10.1007/s10666-016-9536-0
Catalogue ID
BFmowc29uu-09wplc

Topic tags

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