Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary information

Detalhes bibliográficos
Autor(a) principal: Teixeira, Daniel de Bortoli [UNESP]
Data de Publicação: 2013
Outros Autores: Bicalho, Elton da Silva [UNESP], Panosso, Alan Rodrigo [UNESP], Cerri, Carlos Eduardo Pellegrino, Pereira, Gener Tadeu [UNESP], Scala Júnior, Newton La [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/S0103-90162013000300008
http://hdl.handle.net/11449/1287
Resumo: Soil CO2 emission (FCO2) is governed by the inherent properties of the soil, such as bulk density (BD). Mapping of FCO2 allows the evaluation and identification of areas with different accumulation potential of carbon. However, FCO2 mapping over larger areas is not feasible due to the period required for evaluation. This study aimed to assess the quality of FCO2 spatial estimates using values of BD as secondary information. FCO2 and BD were evaluated on a regular sampling grid of 60 m × 60 m comprising 141 points, which was established on a sugarcane area. Four scenarios were defined according to the proportion of the number of sampling points of FCO2 to those of BD. For these scenarios, 67 (F67), 87 (F87), 107 (F107) and 127 (F127) FCO2 sampling points were used in addition to 127 BD sampling points used as supplementary information. The use of additional information from the BD provided an increase in the accuracy of the estimates only in the F107, F67 and F87 scenarios, respectively. The F87 scenario, with the approximate ratio between the FCO2 and BD of 1.00:1.50, presented the best relative improvement in the quality of estimates, thereby indicating that the BD should be sampled at a density 1.5 time greater than that applied for the FCO2. This procedure avoided problems related to the high temporal variability associated with FCO2, which enabled the mapping of this variable to be elaborated in large areas.
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spelling Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary informationGeostatisticscokrigingordinary krigingcross-variogramSoil CO2 emission (FCO2) is governed by the inherent properties of the soil, such as bulk density (BD). Mapping of FCO2 allows the evaluation and identification of areas with different accumulation potential of carbon. However, FCO2 mapping over larger areas is not feasible due to the period required for evaluation. This study aimed to assess the quality of FCO2 spatial estimates using values of BD as secondary information. FCO2 and BD were evaluated on a regular sampling grid of 60 m × 60 m comprising 141 points, which was established on a sugarcane area. Four scenarios were defined according to the proportion of the number of sampling points of FCO2 to those of BD. For these scenarios, 67 (F67), 87 (F87), 107 (F107) and 127 (F127) FCO2 sampling points were used in addition to 127 BD sampling points used as supplementary information. The use of additional information from the BD provided an increase in the accuracy of the estimates only in the F107, F67 and F87 scenarios, respectively. The F87 scenario, with the approximate ratio between the FCO2 and BD of 1.00:1.50, presented the best relative improvement in the quality of estimates, thereby indicating that the BD should be sampled at a density 1.5 time greater than that applied for the FCO2. This procedure avoided problems related to the high temporal variability associated with FCO2, which enabled the mapping of this variable to be elaborated in large areas.UNESP FCAV Depto. de Ciências ExatasUSP ESALQ Depto. de Ciência do SoloUNESP FCAV Depto. de Ciências ExatasUniversidade de São Paulo (USP), Escola Superior de Agricultura Luiz de Queiroz (ESALQ)Universidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Teixeira, Daniel de Bortoli [UNESP]Bicalho, Elton da Silva [UNESP]Panosso, Alan Rodrigo [UNESP]Cerri, Carlos Eduardo PellegrinoPereira, Gener Tadeu [UNESP]Scala Júnior, Newton La [UNESP]2014-05-20T13:13:31Z2014-05-20T13:13:31Z2013-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article195-203application/pdfhttp://dx.doi.org/10.1590/S0103-90162013000300008Scientia Agricola. São Paulo - Escola Superior de Agricultura Luiz de Queiroz, v. 70, n. 3, p. 195-203, 2013.0103-9016http://hdl.handle.net/11449/128710.1590/S0103-90162013000300008S0103-90162013000300008WOS:000320022600008S0103-90162013000300008.pdf70534260377714601449605928537533SciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengScientia Agricola0,578info:eu-repo/semantics/openAccess2023-12-20T06:22:29Zoai:repositorio.unesp.br:11449/1287Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-12-20T06:22:29Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary information
title Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary information
spellingShingle Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary information
Teixeira, Daniel de Bortoli [UNESP]
Geostatistics
cokriging
ordinary kriging
cross-variogram
title_short Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary information
title_full Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary information
title_fullStr Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary information
title_full_unstemmed Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary information
title_sort Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary information
author Teixeira, Daniel de Bortoli [UNESP]
author_facet Teixeira, Daniel de Bortoli [UNESP]
Bicalho, Elton da Silva [UNESP]
Panosso, Alan Rodrigo [UNESP]
Cerri, Carlos Eduardo Pellegrino
Pereira, Gener Tadeu [UNESP]
Scala Júnior, Newton La [UNESP]
author_role author
author2 Bicalho, Elton da Silva [UNESP]
Panosso, Alan Rodrigo [UNESP]
Cerri, Carlos Eduardo Pellegrino
Pereira, Gener Tadeu [UNESP]
Scala Júnior, Newton La [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Teixeira, Daniel de Bortoli [UNESP]
Bicalho, Elton da Silva [UNESP]
Panosso, Alan Rodrigo [UNESP]
Cerri, Carlos Eduardo Pellegrino
Pereira, Gener Tadeu [UNESP]
Scala Júnior, Newton La [UNESP]
dc.subject.por.fl_str_mv Geostatistics
cokriging
ordinary kriging
cross-variogram
topic Geostatistics
cokriging
ordinary kriging
cross-variogram
description Soil CO2 emission (FCO2) is governed by the inherent properties of the soil, such as bulk density (BD). Mapping of FCO2 allows the evaluation and identification of areas with different accumulation potential of carbon. However, FCO2 mapping over larger areas is not feasible due to the period required for evaluation. This study aimed to assess the quality of FCO2 spatial estimates using values of BD as secondary information. FCO2 and BD were evaluated on a regular sampling grid of 60 m × 60 m comprising 141 points, which was established on a sugarcane area. Four scenarios were defined according to the proportion of the number of sampling points of FCO2 to those of BD. For these scenarios, 67 (F67), 87 (F87), 107 (F107) and 127 (F127) FCO2 sampling points were used in addition to 127 BD sampling points used as supplementary information. The use of additional information from the BD provided an increase in the accuracy of the estimates only in the F107, F67 and F87 scenarios, respectively. The F87 scenario, with the approximate ratio between the FCO2 and BD of 1.00:1.50, presented the best relative improvement in the quality of estimates, thereby indicating that the BD should be sampled at a density 1.5 time greater than that applied for the FCO2. This procedure avoided problems related to the high temporal variability associated with FCO2, which enabled the mapping of this variable to be elaborated in large areas.
publishDate 2013
dc.date.none.fl_str_mv 2013-06-01
2014-05-20T13:13:31Z
2014-05-20T13:13:31Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1590/S0103-90162013000300008
Scientia Agricola. São Paulo - Escola Superior de Agricultura Luiz de Queiroz, v. 70, n. 3, p. 195-203, 2013.
0103-9016
http://hdl.handle.net/11449/1287
10.1590/S0103-90162013000300008
S0103-90162013000300008
WOS:000320022600008
S0103-90162013000300008.pdf
7053426037771460
1449605928537533
url http://dx.doi.org/10.1590/S0103-90162013000300008
http://hdl.handle.net/11449/1287
identifier_str_mv Scientia Agricola. São Paulo - Escola Superior de Agricultura Luiz de Queiroz, v. 70, n. 3, p. 195-203, 2013.
0103-9016
10.1590/S0103-90162013000300008
S0103-90162013000300008
WOS:000320022600008
S0103-90162013000300008.pdf
7053426037771460
1449605928537533
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Scientia Agricola
0,578
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 195-203
application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo (USP), Escola Superior de Agricultura Luiz de Queiroz (ESALQ)
publisher.none.fl_str_mv Universidade de São Paulo (USP), Escola Superior de Agricultura Luiz de Queiroz (ESALQ)
dc.source.none.fl_str_mv SciELO
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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