title: Deep soil carbon dynamics are driven more by soil type than by climate: a worldwide meta-analysis of radiocarbon profiles.
abstract: The response of soil carbon dynamics to climate and land-use change will affect both the future climate and the quality of ecosystems. Deep soil carbon (>20 cm) is the primary component of the soil carbon pool, but the dynamics of deep soil carbon remain poorly understood. Therefore, radiocarbon activity (Δ14C), which is a function of the age of carbon, may help to understand the rates of soil carbon biodegradation and stabilization. We analyzed the published 14C contents in 122 profiles of mineral soil that were well distributed in most of the large world biomes, except for the boreal zone. With a multivariate extension of a linear mixed-effects model whose inference was based on the parallel combination of two algorithms, the expectation-maximization (EM) and the Metropolis-Hasting algorithms, we expressed soil Δ14C profiles as a four-parameter function of depth. The four-parameter model produced insightful predictions of soil Δ14C as dependent on depth, soil type, climate, vegetation, land-use and date of sampling (R2=0.68). Further analysis with the model showed that the age of topsoil carbon was primarily affected by climate and cultivation. By contrast, the age of deep soil carbon was affected more by soil taxa than by climate and thus illustrated the strong dependence of soil carbon dynamics on other pedologic traits such as clay content and mineralogy.
authors.affiliation: Laboratoire des Sciences du Climat et de l'Environnement, UMR 8212 CEA-CNRS-UVSQ, F-91198, Gif-sur-Yvette, France.
authors.forename: Jordane A
authors.initials: JA
authors.lastname: Mathieu
authors.affiliation: Laboratoire des Sciences du Climat et de l'Environnement, UMR 8212 CEA-CNRS-UVSQ, F-91198, Gif-sur-Yvette, France.
authors.forename: Christine
authors.initials: C
authors.lastname: Hatté
authors.affiliation: INRA, UR1119 Géochimie des Sols et des Eaux, F-13100, Aix-en-Provence, France.
authors.forename: Jérôme
authors.initials: J
authors.lastname: Balesdent
authors.affiliation: INRA, UMR 518 Mathématiques et Informatiques Appliquées, F-75005, Paris, France.|AgroParisTech, UMR 518 Mathématiques et Informatiques Appliquées, F-75005, Paris, France.
authors.forename: Éric
authors.initials: É
authors.lastname: Parent
mesh_terms: D002244:Carbon / Q000378:metabolism*; D002250:Carbon Radioisotopes / Q000378:metabolism*; D002980:Climate; D057231:Climate Change; D017753:Ecosystem; D008956:Models, Chemical; D012987:Soil / Q000737:chemistry*
chemical_list: D002250:Carbon Radioisotopes; D012987:Soil; D002244:Carbon
keywords: organic carbon dynamics; radiocarbon; soil profile; statistical meta-analysis