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Multi-metric evaluation of an ensemble of biogeochemical models for the estimation of organic carbon content in long-term bare fallow soils

Citation

Farina, R and Ehrhardt, F and Bellocchi, G and Chenu, C and Soussana, JF and Abdalla, M and Alvaro-Fuentes, J and Brilli, L and Clivot, H and De Antoni, M and Di Bene, C and Dorich, C and Ferchaud, F and Fitton, N and Francaviglia, R and Franko, U and Giltrap, D and Grant, B and Guenet, B and Harrison, MT and Kirschbaum, M and Kulmala, L and Kuka, K and Liski, J and Martin, R and Meier, E and Menichetti, L and Moyano, F and Nendel, C and Smith, AW and Taghizadeh-Toosi, A and Tsutskikh, E and Recous, S, Multi-metric evaluation of an ensemble of biogeochemical models for the estimation of organic carbon content in long-term bare fallow soils, Food Security and Climate Change Conference: 4 per 1000 initiative new tangible global challenges for the soil, 17-20 June 2019, Poltiers, France (2019) [Conference Extract]


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Abstract

As part of benchmarking actions at international level (FACCE-JPI project CN-MIP), the C-MIP action was initiated in 2016 to address the question of whether ensemble modelling could bring some improvement to the simulation of soil organic carbon (SOC) dynamics. A multi-model ensemble with 25 process‐based integrated C-N models was implemented to compare simulations (before and after model calibration) to SOC data from a network of six long-term bare fallow experimental sites (one site with two options) in Europe. To evaluate single models and the model ensemble, multiple evaluation metrics were aggregated into a single modular indicator, not only accounting for the agreement between model estimates and actual data but also taking into account their structural complexity. Illustrative results of simulated against observed SOC dynamics while also discussing the potential of the multi-metric aggregated indicator to help identifying areas where structural changes in models may be needed to better represent such dynamics.

Item Details

Item Type:Conference Extract
Keywords:multi-model ensemble, soil organic matter, soil carbon, biogeochemical model, bare fallows
Research Division:Agricultural and Veterinary Sciences
Research Group:Agriculture, Land and Farm Management
Research Field:Agricultural Systems Analysis and Modelling
Objective Division:Environment
Objective Group:Climate and Climate Change
Objective Field:Climate Change Mitigation Strategies
UTAS Author:Harrison, MT (Dr Matthew Harrison)
ID Code:133182
Year Published:2019
Deposited By:TIA - Research Institute
Deposited On:2019-06-17
Last Modified:2019-06-20
Downloads:0

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