OPENAIRE OpenAire Research@WUR Sygma Bielefeld Academic Search Engine (BASE) HAL-INSU ZENODO DOAJ Crossref Europe PubMed Central HAL INRAE Archivio della Ricerca - Università degli Studi Roma Tre PubMed Central HAL-CEA European Union Open Data Portal https://www.nature.com/articles/s41597-023-02751-6.pdf https://doi.org/10.1038/s41597-023-02751-6 Scientific Data Open Access 2024-01-02 2024-01-04 2024-04-02 Abstract<p>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￢ﾈﾒ1 for cropland and 91 kgP ha￢ﾈﾒ1 for grassland in 2018 for the top 0￢ﾀﾓ0.3￢ﾀﾉ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.</p 0301 basic medicine 2. Zero hunger [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Data Descriptor 550 Atmosphere [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere Science Q ANZSRC::410603 Soil biology 15. Life on land 01 natural sciences [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment ANZSRC::300801 Field organic and low chemical input horticulture 03 medical and health sciences ANZSRC::410605 Soil physics Life Science ANZSRC::410604 Soil chemistry and soil carbon sequestration (excl. carbon sequestration science) [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment ANZSRC::300101 Agricultural biotechnology diagnostics (incl. biosensors) 0105 earth and related environmental sciences Ringeval, Bruno, Demay, Joséphine, Goll, Daniel, He, Xianjin, Wang, Ying-Ping, Hou, Enqing, Matej, Sarah, Erb, Karl-Heinz, Wang, Rong, Augusto, Laurent, Lun, Fei, Nesme, Thomas, Borrelli, Pasquale, Helfenstein, Julian, Mcdowell, Richard, Pletnyakov, Peter, Pellerin, Sylvain, 2024-01-02 journalpaper Abstract<p>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￢ﾈﾒ1 for cropland and 91 kgP ha￢ﾈﾒ1 for grassland in 2018 for the top 0￢ﾀﾓ0.3￢ﾀﾉ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.</p A global dataset on phosphorus in agricultural soils 10.1038/s41597-023-02751-6 862695