Spatial distribution of pyrogenic carbon in Iberian topsoils estimated by chemometric analysis of infrared spectra

12 páginas.- 7 figuras.- 2 tablas.- referencias.- Supplementary data to this article can be found online athttps://doi.org/10.1016/j.scitotenv.2021.148170.R

Detalles Bibliográficos
Autores: Jiménez-González, Marco A., Rosa Arranz, José M. de la, Aksoy, Ertuǧrul, Jeffery, Simon, Oliveira, B.R.F., Verheijen, F. G. A.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/244401
Acceso en línea:http://hdl.handle.net/10261/244401
Access Level:acceso abierto
Palabra clave:Soil organic matter
Pyrogenic carbon
Black carbon
Carbon sequestration
Partial least squares regression
Random forest model
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repository_id_str
dc.title.none.fl_str_mv Spatial distribution of pyrogenic carbon in Iberian topsoils estimated by chemometric analysis of infrared spectra
title Spatial distribution of pyrogenic carbon in Iberian topsoils estimated by chemometric analysis of infrared spectra
spellingShingle Spatial distribution of pyrogenic carbon in Iberian topsoils estimated by chemometric analysis of infrared spectra
Jiménez-González, Marco A.
Soil organic matter
Pyrogenic carbon
Black carbon
Carbon sequestration
Partial least squares regression
Random forest model
title_short Spatial distribution of pyrogenic carbon in Iberian topsoils estimated by chemometric analysis of infrared spectra
title_full Spatial distribution of pyrogenic carbon in Iberian topsoils estimated by chemometric analysis of infrared spectra
title_fullStr Spatial distribution of pyrogenic carbon in Iberian topsoils estimated by chemometric analysis of infrared spectra
title_full_unstemmed Spatial distribution of pyrogenic carbon in Iberian topsoils estimated by chemometric analysis of infrared spectra
title_sort Spatial distribution of pyrogenic carbon in Iberian topsoils estimated by chemometric analysis of infrared spectra
dc.creator.none.fl_str_mv Jiménez-González, Marco A.
Rosa Arranz, José M. de la
Aksoy, Ertuǧrul
Jeffery, Simon
Oliveira, B.R.F.
Verheijen, F. G. A.
author Jiménez-González, Marco A.
author_facet Jiménez-González, Marco A.
Rosa Arranz, José M. de la
Aksoy, Ertuǧrul
Jeffery, Simon
Oliveira, B.R.F.
Verheijen, F. G. A.
author_role author
author2 Rosa Arranz, José M. de la
Aksoy, Ertuǧrul
Jeffery, Simon
Oliveira, B.R.F.
Verheijen, F. G. A.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
European Commission
Jiménez-González, Marco A. [0000-0001-7318-6051]
Rosa Arranz, José M. de la [0000-0003-2857-2345]
Jeffery, Simon [0000-0003-1014-9100]
Oliveira, B.R.F. [0000-0001-5877-8614]
Verheijen, F. G. A. [0000-0001-6741-4249]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Soil organic matter
Pyrogenic carbon
Black carbon
Carbon sequestration
Partial least squares regression
Random forest model
topic Soil organic matter
Pyrogenic carbon
Black carbon
Carbon sequestration
Partial least squares regression
Random forest model
description 12 páginas.- 7 figuras.- 2 tablas.- referencias.- Supplementary data to this article can be found online athttps://doi.org/10.1016/j.scitotenv.2021.148170.R
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/244401
url http://hdl.handle.net/10261/244401
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RYC-2014-16338
http://dx.doi.org/10.1016/j.scitotenv.2021.148170
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Spatial distribution of pyrogenic carbon in Iberian topsoils estimated by chemometric analysis of infrared spectraJiménez-González, Marco A.Rosa Arranz, José M. de laAksoy, ErtuǧrulJeffery, SimonOliveira, B.R.F.Verheijen, F. G. A.Soil organic matterPyrogenic carbonBlack carbonCarbon sequestrationPartial least squares regressionRandom forest model12 páginas.- 7 figuras.- 2 tablas.- referencias.- Supplementary data to this article can be found online athttps://doi.org/10.1016/j.scitotenv.2021.148170.RUnderstanding the global carbon (C) cycle is critical to accurately model feedbacks between climate and soil. Thus, many climate change studies focused on soil organic carbon (SOC) stock changes. Pyrogenic carbon (PyC) is one of the most stable fractions of soil organic matter (SOM). Accurate maps based on measured PyC contents are required to facilitate future soil management decisions and soil-climate feedback modelling. However, consistent measurements that cover large areas are rare. Therefore, this study aimed to map the PyC content and stock of the Iberian Peninsula, which covers contrasting climatic zones and has long-term data on wildfire occurrence. A partial least square (PLS) regression using the mid-infrared spectra (1800–400 cm−1) was applied to a dataset composed of 2961 soil samples from the Iberian component of the LUCAS 2009 database. The values of PyC for LUCAS points were modelled to obtain a map of topsoil PyC by a random forest (RF) approach using 36 auxiliary variables. The results were validated through comparison with documented historical wildfire activity and anthropogenic energy production. A strong relationship was found between these sources and the distribution of PyC. Our study estimates that the accumulated PyC in Iberian Peninsula soils comprises between 3.09 and 20.39% of total organic carbon (TOC) in the topsoil. Forests have higher PyC contents than grasslands, followed by agricultural soils. The incidence of recurrent wildfires also has a notable influence on PyC contents. This study shows the potential of estimating PyC with a single, rapid, low cost, chemometric method using new or archived soil spectra, and has the ability to improve soil-climate feedback modelling. It also offers a possible tool for measuring, reporting and verifying soil C stocks, which is likely to be important moving forward if soils are used as sinks for C sequestrationJosé M. De la Rosa thanks the former Spanish Ministry of Economy and Competitiveness (MINECO) for his “Ramón y Cajal” post-doctoral contract (RYC2014-16338). We gratefully acknowledge the Portuguese Foundation for Science and Technology (FCT) for the Assistant Researcher funding of F.G.A. Verheijen (CEECIND/02509/2018). Thanks are also due for the financial support to CESAM (UID/AMB/50017/2019), to FCT/MCTES through national funds, and the cofunding by the FEDER, within the PT2020 Partnership Agreement and Compete 2020. The LUCAS topsoil dataset used in this work was made available by the European Commission through the European Soil Data Centre managed by the Joint Research Centre (JRC), http://esdac.jrc.ec.europa.eu/Peer reviewedElsevierMinisterio de Economía y Competitividad (España)European CommissionJiménez-González, Marco A. [0000-0001-7318-6051]Rosa Arranz, José M. de la [0000-0003-2857-2345]Jeffery, Simon [0000-0003-1014-9100]Oliveira, B.R.F. [0000-0001-5877-8614]Verheijen, F. G. A. [0000-0001-6741-4249]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202120212021info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/244401reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RYC-2014-16338http://dx.doi.org/10.1016/j.scitotenv.2021.148170Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2444012026-05-22T06:33:51Z
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