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Multiple soil map comparison highlights challenges for predicting topsoil organic carbon concentration at national scale

Soil organic carbon (SOC) concentration is the fundamental indicator of soil health, underpinning food production and climate change mitigation. SOC storage is highly sensitive to several dynamic environmental drivers, with approximately one third of soils degraded and losing carbon worldwide. Digit...

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Autores principales: Feeney, C. J., Cosby, B. J., Robinson, D. A., Thomas, A., Emmett, B. A., Henrys, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792051/
https://www.ncbi.nlm.nih.gov/pubmed/35082379
http://dx.doi.org/10.1038/s41598-022-05476-5
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author Feeney, C. J.
Cosby, B. J.
Robinson, D. A.
Thomas, A.
Emmett, B. A.
Henrys, P.
author_facet Feeney, C. J.
Cosby, B. J.
Robinson, D. A.
Thomas, A.
Emmett, B. A.
Henrys, P.
author_sort Feeney, C. J.
collection PubMed
description Soil organic carbon (SOC) concentration is the fundamental indicator of soil health, underpinning food production and climate change mitigation. SOC storage is highly sensitive to several dynamic environmental drivers, with approximately one third of soils degraded and losing carbon worldwide. Digital soil mapping illuminates where hotspots of SOC storage occur and where losses to the atmosphere are most likely. Yet, attempts to map SOC often disagree. Here we compare national scale SOC concentration map products to reveal agreement of data in mineral soils, with progressively poorer agreement in organo-mineral and organic soils. Divergences in map predictions from each other and survey data widen in the high SOC content land types we stratified. Given the disparities are highest in carbon rich soils, efforts are required to reduce these uncertainties to increase confidence in mapping SOC storage and predicting where change may be important at national to global scales. Our map comparison results could be used to identify SOC risk where concentrations are high and should be conserved, and where uncertainty is high and further monitoring should be targeted. Reducing inter-map uncertainty will rely on addressing statistical limitations and including covariates that capture convergence of physical factors that produce high SOC contents.
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spelling pubmed-87920512022-01-28 Multiple soil map comparison highlights challenges for predicting topsoil organic carbon concentration at national scale Feeney, C. J. Cosby, B. J. Robinson, D. A. Thomas, A. Emmett, B. A. Henrys, P. Sci Rep Article Soil organic carbon (SOC) concentration is the fundamental indicator of soil health, underpinning food production and climate change mitigation. SOC storage is highly sensitive to several dynamic environmental drivers, with approximately one third of soils degraded and losing carbon worldwide. Digital soil mapping illuminates where hotspots of SOC storage occur and where losses to the atmosphere are most likely. Yet, attempts to map SOC often disagree. Here we compare national scale SOC concentration map products to reveal agreement of data in mineral soils, with progressively poorer agreement in organo-mineral and organic soils. Divergences in map predictions from each other and survey data widen in the high SOC content land types we stratified. Given the disparities are highest in carbon rich soils, efforts are required to reduce these uncertainties to increase confidence in mapping SOC storage and predicting where change may be important at national to global scales. Our map comparison results could be used to identify SOC risk where concentrations are high and should be conserved, and where uncertainty is high and further monitoring should be targeted. Reducing inter-map uncertainty will rely on addressing statistical limitations and including covariates that capture convergence of physical factors that produce high SOC contents. Nature Publishing Group UK 2022-01-26 /pmc/articles/PMC8792051/ /pubmed/35082379 http://dx.doi.org/10.1038/s41598-022-05476-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Feeney, C. J.
Cosby, B. J.
Robinson, D. A.
Thomas, A.
Emmett, B. A.
Henrys, P.
Multiple soil map comparison highlights challenges for predicting topsoil organic carbon concentration at national scale
title Multiple soil map comparison highlights challenges for predicting topsoil organic carbon concentration at national scale
title_full Multiple soil map comparison highlights challenges for predicting topsoil organic carbon concentration at national scale
title_fullStr Multiple soil map comparison highlights challenges for predicting topsoil organic carbon concentration at national scale
title_full_unstemmed Multiple soil map comparison highlights challenges for predicting topsoil organic carbon concentration at national scale
title_short Multiple soil map comparison highlights challenges for predicting topsoil organic carbon concentration at national scale
title_sort multiple soil map comparison highlights challenges for predicting topsoil organic carbon concentration at national scale
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792051/
https://www.ncbi.nlm.nih.gov/pubmed/35082379
http://dx.doi.org/10.1038/s41598-022-05476-5
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