Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane

Detalhes bibliográficos
Autor(a) principal: Bahia, Angélica Santos Rabelo de Souza
Data de Publicação: 2015
Outros Autores: Marques Júnior, José, Panosso, Alan Rodrigo, Camargo, Livia Arantes, Siqueira, Diego Silva, Teixeira, Daniel De Bortoli, Scala Júnior, Newton La
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/100184
Resumo: Soil CO2 emission (FCO2) is one of the main sources of carbon release into the atmosphere. Moreover, FCO2 is related to soil attributes governing the transfer of gases from soil to the atmosphere. This study aimed firstly to describe the spatial variability of hematite (Hm), goethite (Gt), iron extracted with sodium dithionite-citrate-bicarbonate (Fed) contents, soil CO2 emission (FCO2) and free-water porosity (FWP) and secondly, to develop statistical models to predict the above mentioned factors in an Oxisol cultivated under manual harvesting of sugarcane (Saccharumspp.) in southeastern Brazil. The study was conducted on an irregular 50 m × 50 m grid containing 89 points, each 0.5-10 m apart. The 0-0.1 m soil layer at each sampling point was used to assess soil FCO2, moisture and total pore volume. The results were subjected to descriptive statistical and geostatistical analyses using auto- and cross-semivariograms. All soil attributes exhibited a spatial dependence structure and the experimental semivariograms fitted spherical and exponential models. The Gt content was the individual attribute that exhibited the highest linear and spatial correlation, especially with FCO2. We were able to use diffuse reflectance spectroscopy to map large areas, which allows for easy identification and estimation of soil attributes such as FCO2 and FWP. Geostatistical techniques faciltate the interpretation of spatial relationships between soil respiration and the examined properties.
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spelling Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane Soil CO2 emission (FCO2) is one of the main sources of carbon release into the atmosphere. Moreover, FCO2 is related to soil attributes governing the transfer of gases from soil to the atmosphere. This study aimed firstly to describe the spatial variability of hematite (Hm), goethite (Gt), iron extracted with sodium dithionite-citrate-bicarbonate (Fed) contents, soil CO2 emission (FCO2) and free-water porosity (FWP) and secondly, to develop statistical models to predict the above mentioned factors in an Oxisol cultivated under manual harvesting of sugarcane (Saccharumspp.) in southeastern Brazil. The study was conducted on an irregular 50 m × 50 m grid containing 89 points, each 0.5-10 m apart. The 0-0.1 m soil layer at each sampling point was used to assess soil FCO2, moisture and total pore volume. The results were subjected to descriptive statistical and geostatistical analyses using auto- and cross-semivariograms. All soil attributes exhibited a spatial dependence structure and the experimental semivariograms fitted spherical and exponential models. The Gt content was the individual attribute that exhibited the highest linear and spatial correlation, especially with FCO2. We were able to use diffuse reflectance spectroscopy to map large areas, which allows for easy identification and estimation of soil attributes such as FCO2 and FWP. Geostatistical techniques faciltate the interpretation of spatial relationships between soil respiration and the examined properties. Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2015-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/10018410.1590/0103-9016-2014-0142Scientia Agricola; v. 72 n. 2 (2015); 157-166Scientia Agricola; Vol. 72 Núm. 2 (2015); 157-166Scientia Agricola; Vol. 72 No. 2 (2015); 157-1661678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/100184/98846Copyright (c) 2015 Scientia Agricolainfo:eu-repo/semantics/openAccessBahia, Angélica Santos Rabelo de Souza Marques Júnior, José Panosso, Alan Rodrigo Camargo, Livia Arantes Siqueira, Diego Silva Teixeira, Daniel De Bortoli Scala Júnior, Newton La 2015-08-31T12:01:38Zoai:revistas.usp.br:article/100184Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2015-08-31T12:01:38Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane
title Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane
spellingShingle Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane
Bahia, Angélica Santos Rabelo de Souza
title_short Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane
title_full Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane
title_fullStr Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane
title_full_unstemmed Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane
title_sort Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane
author Bahia, Angélica Santos Rabelo de Souza
author_facet Bahia, Angélica Santos Rabelo de Souza
Marques Júnior, José
Panosso, Alan Rodrigo
Camargo, Livia Arantes
Siqueira, Diego Silva
Teixeira, Daniel De Bortoli
Scala Júnior, Newton La
author_role author
author2 Marques Júnior, José
Panosso, Alan Rodrigo
Camargo, Livia Arantes
Siqueira, Diego Silva
Teixeira, Daniel De Bortoli
Scala Júnior, Newton La
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Bahia, Angélica Santos Rabelo de Souza
Marques Júnior, José
Panosso, Alan Rodrigo
Camargo, Livia Arantes
Siqueira, Diego Silva
Teixeira, Daniel De Bortoli
Scala Júnior, Newton La
description Soil CO2 emission (FCO2) is one of the main sources of carbon release into the atmosphere. Moreover, FCO2 is related to soil attributes governing the transfer of gases from soil to the atmosphere. This study aimed firstly to describe the spatial variability of hematite (Hm), goethite (Gt), iron extracted with sodium dithionite-citrate-bicarbonate (Fed) contents, soil CO2 emission (FCO2) and free-water porosity (FWP) and secondly, to develop statistical models to predict the above mentioned factors in an Oxisol cultivated under manual harvesting of sugarcane (Saccharumspp.) in southeastern Brazil. The study was conducted on an irregular 50 m × 50 m grid containing 89 points, each 0.5-10 m apart. The 0-0.1 m soil layer at each sampling point was used to assess soil FCO2, moisture and total pore volume. The results were subjected to descriptive statistical and geostatistical analyses using auto- and cross-semivariograms. All soil attributes exhibited a spatial dependence structure and the experimental semivariograms fitted spherical and exponential models. The Gt content was the individual attribute that exhibited the highest linear and spatial correlation, especially with FCO2. We were able to use diffuse reflectance spectroscopy to map large areas, which allows for easy identification and estimation of soil attributes such as FCO2 and FWP. Geostatistical techniques faciltate the interpretation of spatial relationships between soil respiration and the examined properties.
publishDate 2015
dc.date.none.fl_str_mv 2015-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/sa/article/view/100184
10.1590/0103-9016-2014-0142
url https://www.revistas.usp.br/sa/article/view/100184
identifier_str_mv 10.1590/0103-9016-2014-0142
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/100184/98846
dc.rights.driver.fl_str_mv Copyright (c) 2015 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 72 n. 2 (2015); 157-166
Scientia Agricola; Vol. 72 Núm. 2 (2015); 157-166
Scientia Agricola; Vol. 72 No. 2 (2015); 157-166
1678-992X
0103-9016
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
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instname_str Universidade de São Paulo (USP)
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reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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