First soil organic carbon report of Paraguay

Autores: Encina Rojas, Arnulfo; Ríos Velázquez, Danny; Sevilla Linares, Víctor; Villarreal, Samuel; Ken Moriya, Miguel Ángel; Olivera, Carolina; Vargas, Ronald; Olmedo, Guillermo Federico; Barreras, Aylín; Guevara, Mario
Año de publicación: 2023
Idioma: inglés
Tipo de recurso: artículo
Estado: versión publicada
Descripción: Assessing soil organic carbon (SOC) stocks at a national scale provides relevant information on soil fertility and soil functions, such as soil water retention capacity, nutrient availability, and soil structure. Our overall goal is to map the SOC stock at the topsoil layer (0–30 cm) in Paraguay, using spatial information of key environmental factors (Environmental Factors - EF; 119 variables) related to SOC and by performing a Regression Kriging (RK) model. We fitted a RK model with 954 sample points, evaluating and computing the model uncertainty of SOC predictions with 10% of independent sample points. Our results show that on average, the SOC stock across Paraguay was 4,46 ± 2,66 kg m− 2 where the highest SOC is found in humid regions covered by broad-leaf forests (8.66 × 10− 6 ); while the lowest SOC is found within water-limited ecosystems (1.97 × 10− 6). We determined that soil type, climate, and vegetation land cover were the strongest SOC predictors. Since this study represents the first Paraguayan effort to develop a SOC monitoring framework, it also provides the first national SOC map with its associated uncertainty. Enabling a unique opportunity to fulfill relevant information gaps and the extended opportunity to be used to validate global and regional SOC products.
EEA Mendoza
Fil: Encina Rojas, Arnulfo. Universidad Nacional de Asunción. Facultad de Ciencias Agrarias; Paraguay
Fil: Ríos Velázquez, Danny. Universidad Nacional de Asunción. Facultad de Ciencias Agrarias; Paraguay
Fil: Sevilla Linares, Víctor. Universidad Central de Venezuela. Instituto de Edafología; Venezuela
Fil: Villarreal, Samuel. Universidad Autónoma de Querétaro. Facultad de Ingeniería; Venezuela
Fil: Ken Moriya, Miguel Ángel. Ministerio de Agricultura y Ganadería; Paraguay
Fil: Olivera, Carolina. Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO); Italia
Fil: Vargas, Ronald. Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO); Italia
Fil: Olmedo, Guillermo Federico. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina
Fil: Barreras, Aylín. Universidad Nacional Autónoma de México. Centro de Geociencias; México
Fil: Guevara, Mario. Universidad Nacional Autónoma de México. Centro de Geociencias; México
Fil: Guevara, Mario. University of California. Department of Environmental Sciences; Estados Unidos
Fil: Guevara, Mario. United States Department of Agriculture. Salinity Laboratory; Estados Unidos
Fuente: Geoderma Regional 32 : e00611. (March 2023)
Materia: Carbono Orgánico del Suelo
Fertilidad del Suelo
Retención de Agua por el Suelo
Paraguay
Soil Organic Carbon
Soil Fertility
Soil Water Retention
Regression Kriging
Nivel de accesibilidad: acceso restringido
Condiciones de uso: http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
Institución: Instituto Nacional de Tecnología Agropecuaria
OAI Identificador: oai:localhost:20.500.12123/25850

Acceder

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spelling	First soil organic carbon report of ParaguayEncina Rojas, ArnulfoRíos Velázquez, DannySevilla Linares, VíctorVillarreal, SamuelKen Moriya, Miguel ÁngelOlivera, CarolinaVargas, RonaldOlmedo, Guillermo FedericoBarreras, AylínGuevara, MarioCarbono Orgánico del SueloFertilidad del SueloRetención de Agua por el SueloParaguaySoil Organic CarbonSoil FertilitySoil Water RetentionRegression KrigingAssessing soil organic carbon (SOC) stocks at a national scale provides relevant information on soil fertility and soil functions, such as soil water retention capacity, nutrient availability, and soil structure. Our overall goal is to map the SOC stock at the topsoil layer (0–30 cm) in Paraguay, using spatial information of key environmental factors (Environmental Factors - EF; 119 variables) related to SOC and by performing a Regression Kriging (RK) model. We fitted a RK model with 954 sample points, evaluating and computing the model uncertainty of SOC predictions with 10% of independent sample points. Our results show that on average, the SOC stock across Paraguay was 4,46 ± 2,66 kg m− 2 where the highest SOC is found in humid regions covered by broad-leaf forests (8.66 × 10− 6 ); while the lowest SOC is found within water-limited ecosystems (1.97 × 10− 6). We determined that soil type, climate, and vegetation land cover were the strongest SOC predictors. Since this study represents the first Paraguayan effort to develop a SOC monitoring framework, it also provides the first national SOC map with its associated uncertainty. Enabling a unique opportunity to fulfill relevant information gaps and the extended opportunity to be used to validate global and regional SOC products.EEA MendozaFil: Encina Rojas, Arnulfo. Universidad Nacional de Asunción. Facultad de Ciencias Agrarias; ParaguayFil: Ríos Velázquez, Danny. Universidad Nacional de Asunción. Facultad de Ciencias Agrarias; ParaguayFil: Sevilla Linares, Víctor. Universidad Central de Venezuela. Instituto de Edafología; VenezuelaFil: Villarreal, Samuel. Universidad Autónoma de Querétaro. Facultad de Ingeniería; VenezuelaFil: Ken Moriya, Miguel Ángel. Ministerio de Agricultura y Ganadería; ParaguayFil: Olivera, Carolina. Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO); ItaliaFil: Vargas, Ronald. Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO); ItaliaFil: Olmedo, Guillermo Federico. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; ArgentinaFil: Barreras, Aylín. Universidad Nacional Autónoma de México. Centro de Geociencias; MéxicoFil: Guevara, Mario. Universidad Nacional Autónoma de México. Centro de Geociencias; MéxicoFil: Guevara, Mario. University of California. Department of Environmental Sciences; Estados UnidosFil: Guevara, Mario. United States Department of Agriculture. Salinity Laboratory; Estados UnidosElsevier2026-04-17T13:53:59Z2026-04-17T13:53:59Z2023-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/25850https://www.sciencedirect.com/science/article/abs/pii/S235200942300007X?via%3Dihub2352-0094https://doi.org/10.1016/j.geodrs.2023.e00611Geoderma Regional 32 : e00611. (March 2023)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengParaguay .......... (nation) (World, South America)1000055info:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2026-04-23T10:40:36Zoai:localhost:20.500.12123/25850instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2026-04-23 10:40:36.448INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv	First soil organic carbon report of Paraguay
title	First soil organic carbon report of Paraguay
spellingShingle	First soil organic carbon report of Paraguay Encina Rojas, Arnulfo Carbono Orgánico del Suelo Fertilidad del Suelo Retención de Agua por el Suelo Paraguay Soil Organic Carbon Soil Fertility Soil Water Retention Regression Kriging
title_short	First soil organic carbon report of Paraguay
title_full	First soil organic carbon report of Paraguay
title_fullStr	First soil organic carbon report of Paraguay
title_full_unstemmed	First soil organic carbon report of Paraguay
title_sort	First soil organic carbon report of Paraguay
dc.creator.none.fl_str_mv	Encina Rojas, Arnulfo Ríos Velázquez, Danny Sevilla Linares, Víctor Villarreal, Samuel Ken Moriya, Miguel Ángel Olivera, Carolina Vargas, Ronald Olmedo, Guillermo Federico Barreras, Aylín Guevara, Mario
author	Encina Rojas, Arnulfo
author_facet	Encina Rojas, Arnulfo Ríos Velázquez, Danny Sevilla Linares, Víctor Villarreal, Samuel Ken Moriya, Miguel Ángel Olivera, Carolina Vargas, Ronald Olmedo, Guillermo Federico Barreras, Aylín Guevara, Mario
author_role	author
author2	Ríos Velázquez, Danny Sevilla Linares, Víctor Villarreal, Samuel Ken Moriya, Miguel Ángel Olivera, Carolina Vargas, Ronald Olmedo, Guillermo Federico Barreras, Aylín Guevara, Mario
author2_role	author author author author author author author author author
dc.subject.none.fl_str_mv	Carbono Orgánico del Suelo Fertilidad del Suelo Retención de Agua por el Suelo Paraguay Soil Organic Carbon Soil Fertility Soil Water Retention Regression Kriging
topic	Carbono Orgánico del Suelo Fertilidad del Suelo Retención de Agua por el Suelo Paraguay Soil Organic Carbon Soil Fertility Soil Water Retention Regression Kriging
dc.description.none.fl_txt_mv	Assessing soil organic carbon (SOC) stocks at a national scale provides relevant information on soil fertility and soil functions, such as soil water retention capacity, nutrient availability, and soil structure. Our overall goal is to map the SOC stock at the topsoil layer (0–30 cm) in Paraguay, using spatial information of key environmental factors (Environmental Factors - EF; 119 variables) related to SOC and by performing a Regression Kriging (RK) model. We fitted a RK model with 954 sample points, evaluating and computing the model uncertainty of SOC predictions with 10% of independent sample points. Our results show that on average, the SOC stock across Paraguay was 4,46 ± 2,66 kg m− 2 where the highest SOC is found in humid regions covered by broad-leaf forests (8.66 × 10− 6 ); while the lowest SOC is found within water-limited ecosystems (1.97 × 10− 6). We determined that soil type, climate, and vegetation land cover were the strongest SOC predictors. Since this study represents the first Paraguayan effort to develop a SOC monitoring framework, it also provides the first national SOC map with its associated uncertainty. Enabling a unique opportunity to fulfill relevant information gaps and the extended opportunity to be used to validate global and regional SOC products. EEA Mendoza Fil: Encina Rojas, Arnulfo. Universidad Nacional de Asunción. Facultad de Ciencias Agrarias; Paraguay Fil: Ríos Velázquez, Danny. Universidad Nacional de Asunción. Facultad de Ciencias Agrarias; Paraguay Fil: Sevilla Linares, Víctor. Universidad Central de Venezuela. Instituto de Edafología; Venezuela Fil: Villarreal, Samuel. Universidad Autónoma de Querétaro. Facultad de Ingeniería; Venezuela Fil: Ken Moriya, Miguel Ángel. Ministerio de Agricultura y Ganadería; Paraguay Fil: Olivera, Carolina. Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO); Italia Fil: Vargas, Ronald. Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO); Italia Fil: Olmedo, Guillermo Federico. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina Fil: Barreras, Aylín. Universidad Nacional Autónoma de México. Centro de Geociencias; México Fil: Guevara, Mario. Universidad Nacional Autónoma de México. Centro de Geociencias; México Fil: Guevara, Mario. University of California. Department of Environmental Sciences; Estados Unidos Fil: Guevara, Mario. United States Department of Agriculture. Salinity Laboratory; Estados Unidos
description	Assessing soil organic carbon (SOC) stocks at a national scale provides relevant information on soil fertility and soil functions, such as soil water retention capacity, nutrient availability, and soil structure. Our overall goal is to map the SOC stock at the topsoil layer (0–30 cm) in Paraguay, using spatial information of key environmental factors (Environmental Factors - EF; 119 variables) related to SOC and by performing a Regression Kriging (RK) model. We fitted a RK model with 954 sample points, evaluating and computing the model uncertainty of SOC predictions with 10% of independent sample points. Our results show that on average, the SOC stock across Paraguay was 4,46 ± 2,66 kg m− 2 where the highest SOC is found in humid regions covered by broad-leaf forests (8.66 × 10− 6 ); while the lowest SOC is found within water-limited ecosystems (1.97 × 10− 6). We determined that soil type, climate, and vegetation land cover were the strongest SOC predictors. Since this study represents the first Paraguayan effort to develop a SOC monitoring framework, it also provides the first national SOC map with its associated uncertainty. Enabling a unique opportunity to fulfill relevant information gaps and the extended opportunity to be used to validate global and regional SOC products.
publishDate	2023
dc.date.none.fl_str_mv	2023-03 2026-04-17T13:53:59Z 2026-04-17T13:53:59Z
dc.type.none.fl_str_mv	info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo
format	article
status_str	publishedVersion
dc.identifier.none.fl_str_mv	http://hdl.handle.net/20.500.12123/25850 https://www.sciencedirect.com/science/article/abs/pii/S235200942300007X?via%3Dihub 2352-0094 https://doi.org/10.1016/j.geodrs.2023.e00611
url	http://hdl.handle.net/20.500.12123/25850 https://www.sciencedirect.com/science/article/abs/pii/S235200942300007X?via%3Dihub https://doi.org/10.1016/j.geodrs.2023.e00611
identifier_str_mv	2352-0094
dc.language.none.fl_str_mv	eng
language	eng
dc.rights.none.fl_str_mv	info:eu-repo/semantics/restrictedAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv	restrictedAccess
rights_invalid_str_mv	http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv	application/pdf
dc.coverage.none.fl_str_mv	Paraguay .......... (nation) (World, South America) 1000055
dc.publisher.none.fl_str_mv	Elsevier
publisher.none.fl_str_mv	Elsevier
dc.source.none.fl_str_mv	Geoderma Regional 32 : e00611. (March 2023) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str	INTA Digital (INTA)
collection	INTA Digital (INTA)
instname_str	Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv	INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv	tripaldi.nicolas@inta.gob.ar
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First soil organic carbon report of Paraguay

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