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A new approach to estimate soil organic carbon content targets in European croplands topsoils

ORCID
0000-0003-2723-7238
Zugehörigkeit
Laboratoire de Géologie, École normale supérieure, CNRS, Université PSL, IPSL, Paris, France
Pacini, Lorenza;
Zugehörigkeit
Greenback SA (commercial name: Genesis), Paris, France
Arbelet, Pierre;
ORCID
0000-0003-1245-0482
Zugehörigkeit
ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, China
Chen, Songchao;
Zugehörigkeit
Greenback SA (commercial name: Genesis), Paris, France
Bacq-Labreuil, Aurélie;
Zugehörigkeit
Greenback SA (commercial name: Genesis), Paris, France
Calvaruso, Christophe;
GND
1155488415
ORCID
0000-0003-3036-6284
Zugehörigkeit
Thünen Institute of Climate-Smart Agriculture, Braunschweig, Germany
Schneider, Florian;
ORCID
0000-0002-6878-6498
Zugehörigkeit
INRAE, Info&Sols Unit, Orléans, France
Arrouays, Dominique;
ORCID
0000-0001-8964-1194
Zugehörigkeit
INRAE, Info&Sols Unit, Orléans, France
Saby, Nicolas P.A.;
ORCID
0000-0001-7795-2382
Zugehörigkeit
Laboratoire de Géologie, École normale supérieure, CNRS, Université PSL, IPSL, Paris, France
Cécillon, Lauric;
Zugehörigkeit
Laboratoire de Géologie, École normale supérieure, CNRS, Université PSL, IPSL, Paris, France
Barré, Pierre

Adopting land management practices that increase the stock of soil organic carbon (SOC) in croplands is widely promoted as a win-win strategy to enhance soil health and mitigate climate change. In this context, the definition of reference SOC content and stock values is needed to provide reliable targets to farmers, policymakers, and stakeholders. In this study, we used the LUCAS dataset to compare different methods for evaluating reference SOC content and stock values in European croplands topsoils (0–20 cm depth). Methods gave generally similar estimates although being built on very different assumptions. In the absence of an objective criterion to establish which approach is the most suitable to determine SOC reference values, we propose an ensemble modelling approach that consists in extracting the estimates using different relevant methods and retaining the median value among them. Interestingly, this approach led us to select values from the three different approaches with similar frequencies. Using estimated bulk density values, we obtained a first rough estimate of 3.5 Gt C of SOC storage potential in the cropland topsoils that we interpret as a long-term aspirational target that would be reachable only under extreme changes in agricultural practices. The use of additional methods in the ensemble modelling approach and more valid statistical spatial estimates may further refine our approach designed for the estimation of SOC reference values for croplands.

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