Article (Scientific journals)
A novel soil organic C model using climate, soil type and management data at the national scale in France
Meersmans, Jeroen; Martin, M. P.; De Ridder, F. et al.
2012In Agronomy for Sustainable Development, 32 (4), p. 873-888
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Keywords :
AIC; AICc; BIC; Climate; Land use; Manure; Rock fragment content; SOC; Soil texture; Stepwise regression; Akaike information criterion; Bayesian analysis; France; Animalia
Abstract :
[en] This report evidences factors controlling soil organic carbon at the national scale by modelling data of 2,158 soil samples from France. The global soil carbon amount, of about 1,500 Gt C, is approximately twice the amount of atmosphere C. Therefore, soil has major impact on atmospheric CO2, and, in turn, climate change. Soil organic carbon further controls many soil properties such as fertility, water retention and aggregate stability. Nonetheless, precise mechanisms ruling interactions between soil organic carbon and environmental factors are not well known at the large scale. Indeed, most soil investigations have been conducted at the plot scale using a limited number of factors. Therefore, a national soil survey of 2,158 soil samples from France was carried out to measure soil properties such as texture, organic carbon, nitrogen and heavy metal content. Here, we studied factors controlling soil organic carbon at the national scale using a model based on stepwise linear regression. Factors analysed were land use, soil texture, rock fragment content, climate and land management. We used several criteria for model selection, such as the Akaike information criterion (AIC), the corrected AIC rule and the Bayesian information criterion. Results show that organic carbon concentrations in fine earth increase with increasing rock fragment content, depending on land use and texture. Spreading farmyard manure and slurry induces higher carbon concentrations mostly in wet and stony grasslands. Nonetheless, a negative correlation has been found between carbon and direct C input from animal excrements on grasslands. Our findings will therefore help to define better land management practices to sequester soil carbon. © INRA and Springer-Verlag, France 2012.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Meersmans, Jeroen ;  Université de Liège - ULiège > Département GxABT > Analyse des risques environnementaux
Martin, M. P.;  INRA Orléans, InfoSol Unit, CS 40001, Ardon, Avenue de la pomme de pin 2163, 45075 Orléans, Cedex 2, France
De Ridder, F.;  Earth System Science and Department of Geography, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
Lacarce, E.;  INRA Orléans, InfoSol Unit, CS 40001, Ardon, Avenue de la pomme de pin 2163, 45075 Orléans, Cedex 2, France
Wetterlind, J.;  INRA Orléans, InfoSol Unit, CS 40001, Ardon, Avenue de la pomme de pin 2163, 45075 Orléans, Cedex 2, France
De Baets, S.;  Earth and Life Institute (ELI), Georges Lemaitre Centre for Earth and Climate Research (TECLIM), Université catholique de Louvain, Place Louis Pasteur 3, B-1348 Louvain-la-Neuve, Belgium
Bas, C. L.;  INRA Orléans, InfoSol Unit, CS 40001, Ardon, Avenue de la pomme de pin 2163, 45075 Orléans, Cedex 2, France
Louis, B. P.;  INRA Orléans, InfoSol Unit, CS 40001, Ardon, Avenue de la pomme de pin 2163, 45075 Orléans, Cedex 2, France
Orton, T. G.;  INRA Orléans, InfoSol Unit, CS 40001, Ardon, Avenue de la pomme de pin 2163, 45075 Orléans, Cedex 2, France
Bispo, A.;  Agriculture and Forestry Department, ADEME, 49004 Angers, Cedex 01, France
Arrouays, D.;  INRA Orléans, InfoSol Unit, CS 40001, Ardon, Avenue de la pomme de pin 2163, 45075 Orléans, Cedex 2, France
Language :
English
Title :
A novel soil organic C model using climate, soil type and management data at the national scale in France
Publication date :
2012
Journal title :
Agronomy for Sustainable Development
ISSN :
1774-0746
eISSN :
1773-0155
Publisher :
Springer, Germany
Volume :
32
Issue :
4
Pages :
873-888
Peer reviewed :
Peer Reviewed verified by ORBi
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