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

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 require...

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Main Authors: Daniel De Bortoli Teixeira, Elton da Silva Bicalho, Alan Rodrigo Panosso, Carlos Eduardo Pellegrino Cerri, Gener Tadeu Pereira, Newton La Scala Júnior
Format: Article
Language:English
Published: Universidade de São Paulo 2013-06-01
Series:Scientia Agricola
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162013000300008
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spelling doaj-40475434c9394af49b1f333138d82b302020-11-24T23:11:24ZengUniversidade de São PauloScientia Agricola0103-90161678-992X2013-06-01703195203Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary informationDaniel De Bortoli TeixeiraElton da Silva BicalhoAlan Rodrigo PanossoCarlos Eduardo Pellegrino CerriGener Tadeu PereiraNewton La Scala JúniorSoil 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162013000300008geostatisticscokrigingordinary krigingcross-variogram
collection DOAJ
language English
format Article
sources DOAJ
author Daniel De Bortoli Teixeira
Elton da Silva Bicalho
Alan Rodrigo Panosso
Carlos Eduardo Pellegrino Cerri
Gener Tadeu Pereira
Newton La Scala Júnior
spellingShingle Daniel De Bortoli Teixeira
Elton da Silva Bicalho
Alan Rodrigo Panosso
Carlos Eduardo Pellegrino Cerri
Gener Tadeu Pereira
Newton La Scala Júnior
Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary information
Scientia Agricola
geostatistics
cokriging
ordinary kriging
cross-variogram
author_facet Daniel De Bortoli Teixeira
Elton da Silva Bicalho
Alan Rodrigo Panosso
Carlos Eduardo Pellegrino Cerri
Gener Tadeu Pereira
Newton La Scala Júnior
author_sort Daniel De Bortoli Teixeira
title Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary information
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
publisher Universidade de São Paulo
series Scientia Agricola
issn 0103-9016
1678-992X
publishDate 2013-06-01
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.
topic geostatistics
cokriging
ordinary kriging
cross-variogram
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162013000300008
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