Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , |
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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Scientia Agrícola (Online) |
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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) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
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 |
_version_ |
1800222792438775808 |