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

Read source ↗ All evidence

Summary

This paper addresses a fundamental challenge in applying the RothC soil carbon model: how to properly initialise SOC stocks and estimate equilibrium values for accurate long-term projections. The authors, drawing on Rothamsted's long-term experimental datasets, compare competing initialisation methods to guide practitioners in model application. The work suggests that initialisation choices substantially influence model outputs and has implications for carbon accounting in farming systems.

UK applicability

Directly applicable to UK soil carbon modelling and policy, as the RothC model is widely used in UK agricultural carbon accounting and the Rothamsted Long-Term Experiments provide the underlying data. The findings should inform practitioners applying RothC for carbon sequestration assessments in UK farming systems.

Key measures

Soil organic carbon pools, model equilibrium estimates, initialisation method accuracy, carbon balance predictions

Outcomes reported

The study examined methods for initialising soil organic carbon (SOC) in the RothC model and evaluated different approaches to estimating equilibrium SOC values. It assessed how model initialisation choices affect long-term carbon predictions in agricultural systems.

Theme
Farming systems, soils & land use
Subject
Soil carbon & organic matter
Study type
Research
Study design
Methodological modelling study
Source type
Peer-reviewed study
Status
Published
Geography
United Kingdom
System type
Mixed farming
DOI
10.1007/s10666-016-9536-0
Catalogue ID
BFmovi21by-mzeetd

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.