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 extr...

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Main Authors: Angélica Santos Rabelo de Souza Bahia, José Marques Júnior, Alan Rodrigo Panosso, Livia Arantes Camargo, Diego Silva Siqueira, Daniel De Bortoli Teixeira, Newton La Scala Júnior
Format: Article
Language:English
Published: Universidade de São Paulo 2015-02-01
Series:Scientia Agricola
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000200157&lng=en&tlng=en
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author Angélica Santos Rabelo de Souza Bahia
José Marques Júnior
Alan Rodrigo Panosso
Livia Arantes Camargo
Diego Silva Siqueira
Daniel De Bortoli Teixeira
Newton La Scala Júnior
author_facet Angélica Santos Rabelo de Souza Bahia
José Marques Júnior
Alan Rodrigo Panosso
Livia Arantes Camargo
Diego Silva Siqueira
Daniel De Bortoli Teixeira
Newton La Scala Júnior
author_sort Angélica Santos Rabelo de Souza Bahia
collection DOAJ
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.
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spelling doaj.art-5716f06b99024e53bb59b115eb4637092022-12-21T17:13:46ZengUniversidade de São PauloScientia Agricola1678-992X2015-02-0172215716610.1590/0103-9016-2014-0142S0103-90162015000200157Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcaneAngélica Santos Rabelo de Souza BahiaJosé Marques JúniorAlan Rodrigo PanossoLivia Arantes CamargoDiego Silva SiqueiraDaniel De Bortoli TeixeiraNewton La Scala JúniorSoil 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000200157&lng=en&tlng=enhematitegoethitesoil respirationgeostatisticscross-semivariograms
spellingShingle Angélica Santos Rabelo de Souza Bahia
José Marques Júnior
Alan Rodrigo Panosso
Livia Arantes Camargo
Diego Silva Siqueira
Daniel De Bortoli Teixeira
Newton La Scala Júnior
Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane
Scientia Agricola
hematite
goethite
soil respiration
geostatistics
cross-semivariograms
title 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_short 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
topic hematite
goethite
soil respiration
geostatistics
cross-semivariograms
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000200157&lng=en&tlng=en
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