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Article Dans Une Revue Scientific Data Année : 2024

A global dataset on phosphorus in agricultural soils

Bruno Ringeval
Joséphine Demay
Enqing Hou
Rong Wang
Laurent Augusto
Thomas Nesme
Richard W Mcdowell
Peter Pletnyakov
Sylvain Pellerin

Résumé

Numerous drivers such as farming practices, erosion, land-use change, and soil biogeochemical background, determine the global spatial distribution of phosphorus (P) in agricultural soils. Here, we revised an approach published earlier (called here GPASOIL-v0), in which several global datasets describing these drivers were combined with a process model for soil P dynamics to reconstruct the past and current distribution of P in cropland and grassland soils. the objective of the present update, called GPASOIL-v1, is to incorporate recent advances in process understanding about soil inorganic P dynamics, in datasets to describe the different drivers, and in regional soil P measurements for benchmarking. We trace the impact of the update on the reconstructed soil P. after the update we estimate a global averaged inorganic labile P of 187 kgP ha-1 for cropland and 91 kgP ha-1 for grassland in 2018 for the top 0-0.3 m soil layer, but these values are sensitive to the mineralization rates chosen for the organic P pools. Uncertainty in the driver estimates lead to coefficients of variation of 0.22 and 0.54 for cropland and grassland, respectively. This work makes the methods for simulating the agricultural soil P maps more transparent and reproducible than previous estimates, and increases the confidence in the new estimates, while the evaluation against regional dataset still suggests rooms for further improvement.
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hal-04372671 , version 1 (04-01-2024)

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Bruno Ringeval, Joséphine Demay, Daniel S Goll, Xianjin He, Ying-Ping Wang, et al.. A global dataset on phosphorus in agricultural soils. Scientific Data , 2024, 11 (1), pp.17. ⟨10.1038/s41597-023-02751-6⟩. ⟨hal-04372671⟩
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