Persistence and turnover of soil organic carbon in global drylands

, the latter far older than machine-learning (<50 years) or Earth system models predict. Aridity, net primary productivity, and SOC content are dominant predictors for radiocarbon signatures, with abrupt shifts to older C beyond an aridity threshold of ~0.87. Our findings underscore the need to incorporate the vulnerability of older carbon into models and land management strategies.

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Publication Details

Journal
Nature Communications
Published
2026-04-22
DOI
https://doi.org/10.1038/s41467-026-70623-9
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Persistence and turnover of soil organic carbon in global drylands

Jaime Martínez‐Valderrama, Susan Trumbore, Miguel García‐Gómez, Victoria Ochoa et al.
Nature Communications
Soil Carbon and Nitrogen Dynamics
article

Persistence and turnover of soil organic carbon in global drylands

Jaime Martínez‐Valderrama, Susan Trumbore, Miguel García‐Gómez, Victoria Ochoa, Andrés Tangarife‐Escobar, Hugo Sáiz, César Plaza, Emilio Guirado, Carlos A. Sierra, Sönke Zaehle, Guang Zhao, Sergio Asensio, Sophie F. von Fromm, Cong Wang, Jianbei Huang, Y Zhang, Michaela Anna Dippold, De Shorn E. Bramble, Yoann Le Bagousse‐Pinguet, Marion Schrumpf, Nicolas Gross, Nan Lü, David J. Eldridge, Weiliang Chen, Betty Mendoza, Yunqiang Wang, Enrique Valencia, Bojie Fu, Fernando T. Maestre, Juan J. Gaitán, Kai Wang, Beatriz Gozalo
article en

Abstract

, the latter far older than machine-learning (<50 years) or Earth system models predict. Aridity, net primary productivity, and SOC content are dominant predictors for radiocarbon signatures, with abrupt shifts to older C beyond an aridity threshold of ~0.87. Our findings underscore the need to incorporate the vulnerability of older carbon into models and land management strategies.

Nature CommunicationsVol. 17(1)
Universidad Complutense de Madrid (ES), Centre National de la Recherche Scientifique (FR), University of Alicante (ES), Universidad Rey Juan Carlos (ES), Universidad de Jaén (ES), Chinese Academy of Sciences (CN), Université Clermont Auvergne (FR), Université d'Avignon et des Pays de Vaucluse (FR), Aix-Marseille Université (FR), Montana State University (US), Universidad de Zaragoza (ES), UNSW Sydney (AU), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Estacion Experimental de Zonas Aridas (ES), VetAgro Sup (FR), Centre de Recherche et d’Enseignement de Géosciences de l’Environnement (FR), Instituto de Ciencias Agrarias (ES), Forest Research (GB), Guangdong Academy of Forestry (CN), Research Center for Eco-Environmental Sciences (CN), Max Planck Institute for Biogeochemistry (DE), Shaanxi Institute of Zoology (CN), Institute of Earth Environment (CN), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN), Institut de Recherche pour le Développement (FR), Universidad Autónoma de Madrid (ES), King Abdullah University of Science and Technology (SA), University of Tübingen (DE), Universidad Politécnica de Madrid (ES)
Chinese Academy of Sciences, King Abdullah University of Science and Technology, Max-Planck-Gesellschaft, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences
Openalex Percentile: Top 18%
Soil Carbon and Nitrogen Dynamics
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