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 fundamental technical challenge in applying the Rothamsted Carbon (RothC) model to real agricultural soils: how best to initialise soil organic carbon stocks and pools when field measurements are incomplete or historical data are unavailable. The authors examine the implications of different initialisation methods and equilibrium assumptions for model accuracy, as suggested by application to UK farming systems. The work has implications for carbon accounting and soil health modelling in practice.

UK applicability

Directly applicable to UK soil carbon modelling and agricultural carbon accounting, given the Rothamsted experimental platform and likely UK case studies. Findings will inform practitioners and policymakers using RothC for carbon sequestration assessment and reporting under UK agricultural and climate policy frameworks.

Key measures

Soil organic carbon pools, model initialisation methods, SOC equilibrium states, RothC model outputs

Outcomes reported

The study examined methods for initialising soil organic carbon (SOC) in the RothC model and evaluated equilibrium assumptions. It assessed how different initialisation approaches affect model predictions of SOC dynamics in agricultural systems.

Theme
Farming systems, soils & land use
Subject
Soil carbon & organic matter
Study type
Research
Study design
Field trial with modelling
Source type
Peer-reviewed study
Status
Published
Geography
United Kingdom
System type
Mixed farming
DOI
10.1007/s10666-016-9536-0
Catalogue ID
BFmovbmg6s-gf4s0b

Topic tags

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