Fluxo de metano no bioma Pampa: análises em área de arroz e de pecuária

Detalhes bibliográficos
Autor(a) principal: Maboni, Cristiano
Data de Publicação: 2021
Tipo de documento: Tese
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações do UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/23690
Resumo: Methane (CH4) is approximately 28 times more efficient at absorbing radiation than carbon dioxide (CO2), potentiating global warming. In this way, the production systems that emit CH4 have special attention in studies that quantify and mitigate these emissions. Several methodologies have been used to quantify these emissions. However, the Eddy Covariance (EC) methodology is the state of the art in these estimates as it incorporates all exchanges of these gases in an ecosystem. In agriculture, rice production and livestock are the main emitters of CH4. In this thesis, these two production systems will be evaluated in relation to CH4 emissions through the EC methodology. The studies are conducted at two experimental sites within the Pampa Biome in the state of Rio Grande do Sul - RS, Brazil. Measurements of CH4 emissions were carried out for nine months in a flooded irrigated rice area in the municipality of Cachoeira do Sul (and extrapolated to the annual period) and for two and a half years in a rotational management of cattle in a field pasture native in the municipality of Aceguá - RS. The annual emission in the rice area was 43.87 gCH4 m-2 year-1, and the rice cultivation emitted 33.03 gCH4 m-2, three times greater than the period without rice (fallow). These results show that the estimates of the Intergovernmental Panel for Climate (IPPC-2006) underestimate CH4 emissions by 30% for rice cultivation in this region. In an average of two years, the livestock area emitted 3.75 gCH4 m-2 year-1, with CH4 emissions due to cattle representing approximately 60% of annual emissions. Thus, CH4 emissions in rice are around 12 times higher than in livestock. As these systems also exchange other greenhouse gases in the atmosphere, such as CO2, estimates of these exchanges were also used to estimate the total annual global warming potential (GWP), considering the consumption of harvested rice or the meat of the cattle produced, converting the variables into CO2 equivalent (CO2-eq). CO2 is the main component of GWP in both systems, and is absorbed in both. However, rice was a GHG emitter (GWP = 1539.42 gCO2-eq m-2), and fallow was responsible for 90% of this value, while livestock in the native field was a GHG absorber (GWP = - 76.5 gCO2-eq m-2). These unprecedented results may become the basis for public policies for offsetting GHG emissions and for future work to mitigate these gases in the Brazilian Pampa Biome.
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spelling 2022-02-17T20:06:15Z2022-02-17T20:06:15Z2021-06-01http://repositorio.ufsm.br/handle/1/23690Methane (CH4) is approximately 28 times more efficient at absorbing radiation than carbon dioxide (CO2), potentiating global warming. In this way, the production systems that emit CH4 have special attention in studies that quantify and mitigate these emissions. Several methodologies have been used to quantify these emissions. However, the Eddy Covariance (EC) methodology is the state of the art in these estimates as it incorporates all exchanges of these gases in an ecosystem. In agriculture, rice production and livestock are the main emitters of CH4. In this thesis, these two production systems will be evaluated in relation to CH4 emissions through the EC methodology. The studies are conducted at two experimental sites within the Pampa Biome in the state of Rio Grande do Sul - RS, Brazil. Measurements of CH4 emissions were carried out for nine months in a flooded irrigated rice area in the municipality of Cachoeira do Sul (and extrapolated to the annual period) and for two and a half years in a rotational management of cattle in a field pasture native in the municipality of Aceguá - RS. The annual emission in the rice area was 43.87 gCH4 m-2 year-1, and the rice cultivation emitted 33.03 gCH4 m-2, three times greater than the period without rice (fallow). These results show that the estimates of the Intergovernmental Panel for Climate (IPPC-2006) underestimate CH4 emissions by 30% for rice cultivation in this region. In an average of two years, the livestock area emitted 3.75 gCH4 m-2 year-1, with CH4 emissions due to cattle representing approximately 60% of annual emissions. Thus, CH4 emissions in rice are around 12 times higher than in livestock. As these systems also exchange other greenhouse gases in the atmosphere, such as CO2, estimates of these exchanges were also used to estimate the total annual global warming potential (GWP), considering the consumption of harvested rice or the meat of the cattle produced, converting the variables into CO2 equivalent (CO2-eq). CO2 is the main component of GWP in both systems, and is absorbed in both. However, rice was a GHG emitter (GWP = 1539.42 gCO2-eq m-2), and fallow was responsible for 90% of this value, while livestock in the native field was a GHG absorber (GWP = - 76.5 gCO2-eq m-2). These unprecedented results may become the basis for public policies for offsetting GHG emissions and for future work to mitigate these gases in the Brazilian Pampa Biome.O metano (CH4) é aproximadamente 28 vezes mais eficiente na absorção de radiação do que o dióxido de carbono (CO2), potencializando o aquecimento global. Desta forma, os sistemas de produção que emitem CH4 têm recebido atenção especial em estudos que quantificam as emissões visando a mitigação. Para tanto, diversas metodologias têm sido utilizadas, sendo a metodologia covariância dos vórtices (EC do inglês Eddy Covariance), é o estado da arte nestas estimativas por incorporar todas as trocas de CH4 num ecossistema. Na agricultura, a produção de arroz e pecuária são os principais emissores de CH4. Nesta tese, esses dois sistemas de produção foram avaliados em relação às emissões de CH4 através da metodologia EC. Os estudos foram conduzidos em dois sítios experimentais do bioma Pampa, no estado do Rio Grande do Sul - RS, Brasil. Medidas das emissões de CH4 foram realizadas durante nove meses numa área de arroz irrigado por inundação (sistema pré-germinado) no município de Cachoeira do Sul (e extrapoladas para o período anual) e durante dois anos e meio em uma criação de gado sob manejo rotacionado em uma pastagem de campo nativo no município de Aceguá – RS. A emissão anual na área de arroz foi de 43,87 g CH4 m-2 ano-1, sendo que o período com arroz emitiu 33,03 g CH4 m-2, três vezes maior que o período sem arroz (pousio). Estes resultados mostram que as estimativas do Painel Intergovernamental para o Clima (IPPC-2006) subestimam as emissões de CH4 em 30 % para o cultivo do arroz nesta região. Na média de dois anos, a área de pecuária emitiu 3,75 gCH4 m-2 ano-1, sendo que as emissões de CH4 devido ao gado representam aproximadamente 60 % das emissões anuais. Assim, as emissões de CH4 no arroz são em torno de 12 vezes maior que na pecuária. Como nesses sistemas também ocorrem trocas de outros gases do efeito estufa (GEE) entre a superfície e a atmosfera, tais como CO2 e o N2O, estimativas destas trocas foram também utilizadas para estimar o potencial de aquecimento global total anual (GWP), considerando o consumo do arroz colhido ou da carne do gado produzida, convertendo as variáveis em CO2 equivalente (CO2-eq). O CO2 é o principal componente do GWP nos dois sistemas, e é absorvido em ambos. No entanto, o arroz foi um emissor de GEE (GWP = 1539,42 gCO2-eq m-2), sendo que pousio foi responsável por 90 % deste valor, enquanto a pecuária no campo nativo foi um absorvedor de GEE (GWP = -76,5 gCO2-eq m-2). Estes resultados inéditos podem se tornar base para políticas públicas de compensação de emissão de GEE e para futuros trabalhos de mitigação desses gases no bioma Pampa Brasileiro.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESporUniversidade Federal de Santa MariaCentro de Ciências Naturais e ExatasPrograma de Pós-Graduação em FísicaUFSMBrasilFísicaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessBioma PampaArroz irrigadoPecuáriaFluxo de CH4Potencial de aquecimento globalPampa biomeIrrigated riceLivestockCH4 fluxGlobal warming potentialCNPQ::CIENCIAS EXATAS E DA TERRA::FISICAFluxo de metano no bioma Pampa: análises em área de arroz e de pecuáriaMethane flux in the Pampa biome: analyzes in rice and livestock areainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisRoberti, Débora Reginahttp://lattes.cnpq.br/6952076109453197Cabral, Osvaldo Machado RodriguesScivittaro, Walkyria BuenoDegrazia, Gervásio AnnesDorneles, Lucio Strazzaboscohttp://lattes.cnpq.br/9301247949561042Maboni, Cristiano10050000000660060060060060011763c92-2ca9-4d8f-acea-5a15459427f8951db3b7-bdb1-4d1e-bc74-62b191faa26e97e0545d-dc66-446e-89ee-0df611f3742435a9a5cc-e895-45ca-991e-49b1faa6ae5713738063-d66f-4ced-9927-e9027628632eee79854a-d4d5-4cee-89f7-0b7147c57496reponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALTES_PPGFÍSICA_2021_MABONI_CRISTIANO.pdfTES_PPGFÍSICA_2021_MABONI_CRISTIANO.pdfTese de Doutoradoapplication/pdf10281417http://repositorio.ufsm.br/bitstream/1/23690/1/TES_PPGF%c3%8dSICA_2021_MABONI_CRISTIANO.pdfc5340d4d58e6837d6908aa53fb4715c5MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.por.fl_str_mv Fluxo de metano no bioma Pampa: análises em área de arroz e de pecuária
dc.title.alternative.eng.fl_str_mv Methane flux in the Pampa biome: analyzes in rice and livestock area
title Fluxo de metano no bioma Pampa: análises em área de arroz e de pecuária
spellingShingle Fluxo de metano no bioma Pampa: análises em área de arroz e de pecuária
Maboni, Cristiano
Bioma Pampa
Arroz irrigado
Pecuária
Fluxo de CH4
Potencial de aquecimento global
Pampa biome
Irrigated rice
Livestock
CH4 flux
Global warming potential
CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA
title_short Fluxo de metano no bioma Pampa: análises em área de arroz e de pecuária
title_full Fluxo de metano no bioma Pampa: análises em área de arroz e de pecuária
title_fullStr Fluxo de metano no bioma Pampa: análises em área de arroz e de pecuária
title_full_unstemmed Fluxo de metano no bioma Pampa: análises em área de arroz e de pecuária
title_sort Fluxo de metano no bioma Pampa: análises em área de arroz e de pecuária
author Maboni, Cristiano
author_facet Maboni, Cristiano
author_role author
dc.contributor.advisor1.fl_str_mv Roberti, Débora Regina
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/6952076109453197
dc.contributor.referee1.fl_str_mv Cabral, Osvaldo Machado Rodrigues
dc.contributor.referee2.fl_str_mv Scivittaro, Walkyria Bueno
dc.contributor.referee3.fl_str_mv Degrazia, Gervásio Annes
dc.contributor.referee4.fl_str_mv Dorneles, Lucio Strazzabosco
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/9301247949561042
dc.contributor.author.fl_str_mv Maboni, Cristiano
contributor_str_mv Roberti, Débora Regina
Cabral, Osvaldo Machado Rodrigues
Scivittaro, Walkyria Bueno
Degrazia, Gervásio Annes
Dorneles, Lucio Strazzabosco
dc.subject.por.fl_str_mv Bioma Pampa
Arroz irrigado
Pecuária
Fluxo de CH4
Potencial de aquecimento global
topic Bioma Pampa
Arroz irrigado
Pecuária
Fluxo de CH4
Potencial de aquecimento global
Pampa biome
Irrigated rice
Livestock
CH4 flux
Global warming potential
CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA
dc.subject.eng.fl_str_mv Pampa biome
Irrigated rice
Livestock
CH4 flux
Global warming potential
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA
description Methane (CH4) is approximately 28 times more efficient at absorbing radiation than carbon dioxide (CO2), potentiating global warming. In this way, the production systems that emit CH4 have special attention in studies that quantify and mitigate these emissions. Several methodologies have been used to quantify these emissions. However, the Eddy Covariance (EC) methodology is the state of the art in these estimates as it incorporates all exchanges of these gases in an ecosystem. In agriculture, rice production and livestock are the main emitters of CH4. In this thesis, these two production systems will be evaluated in relation to CH4 emissions through the EC methodology. The studies are conducted at two experimental sites within the Pampa Biome in the state of Rio Grande do Sul - RS, Brazil. Measurements of CH4 emissions were carried out for nine months in a flooded irrigated rice area in the municipality of Cachoeira do Sul (and extrapolated to the annual period) and for two and a half years in a rotational management of cattle in a field pasture native in the municipality of Aceguá - RS. The annual emission in the rice area was 43.87 gCH4 m-2 year-1, and the rice cultivation emitted 33.03 gCH4 m-2, three times greater than the period without rice (fallow). These results show that the estimates of the Intergovernmental Panel for Climate (IPPC-2006) underestimate CH4 emissions by 30% for rice cultivation in this region. In an average of two years, the livestock area emitted 3.75 gCH4 m-2 year-1, with CH4 emissions due to cattle representing approximately 60% of annual emissions. Thus, CH4 emissions in rice are around 12 times higher than in livestock. As these systems also exchange other greenhouse gases in the atmosphere, such as CO2, estimates of these exchanges were also used to estimate the total annual global warming potential (GWP), considering the consumption of harvested rice or the meat of the cattle produced, converting the variables into CO2 equivalent (CO2-eq). CO2 is the main component of GWP in both systems, and is absorbed in both. However, rice was a GHG emitter (GWP = 1539.42 gCO2-eq m-2), and fallow was responsible for 90% of this value, while livestock in the native field was a GHG absorber (GWP = - 76.5 gCO2-eq m-2). These unprecedented results may become the basis for public policies for offsetting GHG emissions and for future work to mitigate these gases in the Brazilian Pampa Biome.
publishDate 2021
dc.date.issued.fl_str_mv 2021-06-01
dc.date.accessioned.fl_str_mv 2022-02-17T20:06:15Z
dc.date.available.fl_str_mv 2022-02-17T20:06:15Z
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dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Ciências Naturais e Exatas
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Física
dc.publisher.initials.fl_str_mv UFSM
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Física
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Ciências Naturais e Exatas
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