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Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil.

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Title: Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil.
Authors: da Costa, Luis Miguel1 (AUTHOR), de Araújo Santos, Gustavo André1 (AUTHOR) gustavo_anndre@hotmail.com, de Mendonça, Gislaine Costa1 (AUTHOR), Morais Filho, Luiz Fernando Favacho1 (AUTHOR), de Meneses, Kamila Cunha1 (AUTHOR), de Souza Rolim, Glauco1 (AUTHOR), La Scala Jr., Newton1 (AUTHOR)
Source: Environment, Development & Sustainability. Apr2022, Vol. 24 Issue 4, p5694-5717. 24p.
Subject Terms: *Emissions (Air pollution), *Sugarcane, *Leaf area index, *Sugarcane growing, *Pearson correlation (Statistics), *Remote sensing, *Chlorophyll spectra
Geographic Terms: Brazil
Company/Entity: United States. National Aeronautics & Space Administration
Abstract: With the advancement of remote sensing, it is now possible to identify and characterize greenhouse gas emissions under deferment land uses. Given the above, this study aimed to characterize the spatial–temporal variability and the main factors controlling the average atmospheric CO2 column (Xco2) in the macroregion of Ribeirão Preto (MRP), São Paulo, a significant sugarcane producer in Brazil. We obtained remote sensing data from January 2015 to December 2018. The variables used were Xco2 and sun-induced fluorescence of chlorophyll (SIF) by NASA's Orbiting Carbon Observatory-2 satellite (OCO-2), relative humidity (RH), global radiation (Qg), and the average temperature at 2 m (T2m) by the NASA-POWER platform, and leaf area index (LAI) and evapotranspiration by Penman–Monteith (ET) by MODIS sensor. We evaluated the data in trimester's averages, where descriptive statistics, Pearson correlation and linear regression have been applied. The spatial distribution was made by the inverse distance weighted (IDW). The minimum (390.40 ± 0.41 ppm) and maximum (394.75 ± 0.34 ppm) mean of Xco2 was observed in the first quarter of 2015 and third quarter of 2017. The Xco2 obtained negative correlations with the SIF (−0.81), LAI (−0.81), RH (−0.74), ET (−0.84), and Qg (−0.51). Hotspots and coldspots of Xco2 tend to vary over the years. We conclude that the temporal variation of Xco2 above sugarcane areas in southern Brazil is well represented by a periodic function. Our results indicate photosynthesis and soil exposure after harvest are factors that could act as source and sink of CO2. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 155889249
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Spatiotemporal variability of atmospheric CO<subscript>2</subscript> concentration and controlling factors over sugarcane cultivation areas in southern Brazil.
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  Data: <searchLink fieldCode="AR" term="%22da+Costa%2C+Luis+Miguel%22">da Costa, Luis Miguel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22de+Araújo+Santos%2C+Gustavo+André%22">de Araújo Santos, Gustavo André</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gustavo_anndre@hotmail.com</i><br /><searchLink fieldCode="AR" term="%22de+Mendonça%2C+Gislaine+Costa%22">de Mendonça, Gislaine Costa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Morais+Filho%2C+Luiz+Fernando+Favacho%22">Morais Filho, Luiz Fernando Favacho</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22de+Meneses%2C+Kamila+Cunha%22">de Meneses, Kamila Cunha</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22de+Souza+Rolim%2C+Glauco%22">de Souza Rolim, Glauco</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22La+Scala+Jr%2E%2C+Newton%22">La Scala Jr., Newton</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Apr2022, Vol. 24 Issue 4, p5694-5717. 24p.
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  Data: *<searchLink fieldCode="DE" term="%22Emissions+%28Air+pollution%29%22">Emissions (Air pollution)</searchLink><br />*<searchLink fieldCode="DE" term="%22Sugarcane%22">Sugarcane</searchLink><br />*<searchLink fieldCode="DE" term="%22Leaf+area+index%22">Leaf area index</searchLink><br />*<searchLink fieldCode="DE" term="%22Sugarcane+growing%22">Sugarcane growing</searchLink><br />*<searchLink fieldCode="DE" term="%22Pearson+correlation+%28Statistics%29%22">Pearson correlation (Statistics)</searchLink><br />*<searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br />*<searchLink fieldCode="DE" term="%22Chlorophyll+spectra%22">Chlorophyll spectra</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Brazil%22">Brazil</searchLink>
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  Label: Company/Entity
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  Data: <searchLink fieldCode="DE" term="%22United+States%2E+National+Aeronautics+%26+Space+Administration%22">United States. National Aeronautics & Space Administration</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: With the advancement of remote sensing, it is now possible to identify and characterize greenhouse gas emissions under deferment land uses. Given the above, this study aimed to characterize the spatial–temporal variability and the main factors controlling the average atmospheric CO2 column (Xco2) in the macroregion of Ribeirão Preto (MRP), São Paulo, a significant sugarcane producer in Brazil. We obtained remote sensing data from January 2015 to December 2018. The variables used were Xco2 and sun-induced fluorescence of chlorophyll (SIF) by NASA's Orbiting Carbon Observatory-2 satellite (OCO-2), relative humidity (RH), global radiation (Qg), and the average temperature at 2 m (T2m) by the NASA-POWER platform, and leaf area index (LAI) and evapotranspiration by Penman–Monteith (ET) by MODIS sensor. We evaluated the data in trimester's averages, where descriptive statistics, Pearson correlation and linear regression have been applied. The spatial distribution was made by the inverse distance weighted (IDW). The minimum (390.40 ± 0.41 ppm) and maximum (394.75 ± 0.34 ppm) mean of Xco2 was observed in the first quarter of 2015 and third quarter of 2017. The Xco2 obtained negative correlations with the SIF (−0.81), LAI (−0.81), RH (−0.74), ET (−0.84), and Qg (−0.51). Hotspots and coldspots of Xco2 tend to vary over the years. We conclude that the temporal variation of Xco2 above sugarcane areas in southern Brazil is well represented by a periodic function. Our results indicate photosynthesis and soil exposure after harvest are factors that could act as source and sink of CO2. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=155889249
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10668-021-01677-6
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 24
        StartPage: 5694
    Subjects:
      – SubjectFull: Emissions (Air pollution)
        Type: general
      – SubjectFull: Sugarcane
        Type: general
      – SubjectFull: Leaf area index
        Type: general
      – SubjectFull: Sugarcane growing
        Type: general
      – SubjectFull: Pearson correlation (Statistics)
        Type: general
      – SubjectFull: Remote sensing
        Type: general
      – SubjectFull: Chlorophyll spectra
        Type: general
      – SubjectFull: Brazil
        Type: general
      – SubjectFull: United States. National Aeronautics & Space Administration
        Type: general
    Titles:
      – TitleFull: Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil.
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          Name:
            NameFull: da Costa, Luis Miguel
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            NameFull: de Araújo Santos, Gustavo André
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            NameFull: de Mendonça, Gislaine Costa
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            NameFull: Morais Filho, Luiz Fernando Favacho
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            NameFull: de Meneses, Kamila Cunha
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            NameFull: de Souza Rolim, Glauco
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            NameFull: La Scala Jr., Newton
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            – D: 01
              M: 04
              Text: Apr2022
              Type: published
              Y: 2022
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              Value: 24
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              Value: 4
          Titles:
            – TitleFull: Environment, Development & Sustainability
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