NDVI e fluxo de CO2 em lavoura de soja no Rio Grande do Sul

Rodrigues, Celso Pinheiro; Fontana, Denise Cybis; Moraes, Osvaldo L. L.; Roberti, Débora Regina

doi:10.1590/s0102-77862013000100011

Cited by 7 publications

(8 citation statements)

References 13 publications

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“…There was an obvious negative correlation belt from northeast to southwest China (r < −0.75), particularly in northeast China (Figure 7). This can control the absorption of carbon dioxide in the atmosphere through the photosynthesis of green vegetation [57,58]. Our results indicate that variations in atmospheric XCO 2 concentration were mainly affected by changes in vegetation cover.…”

Section: Major Influencing Factors Of Xco 2 In Chinamentioning

confidence: 77%

Spatial and Temporal Variations of Atmospheric CO2 Concentration in China and Its Influencing Factors

Shi

Zang

et al. 2020

Atmosphere

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Over the past few decades, concentrations of carbon dioxide (CO2), a key greenhouse gas, have risen at a global rate of approximately 2 ppm/a. China is the largest CO2 emitter and is the principle contributor to the increase in global CO2 levels. Based on a satellite-retrieved atmospheric carbon dioxide column average dry air mixing ratio (XCO2) dataset, derived from the greenhouse gas observation satellite (GOSAT), this paper evaluates the spatial and temporal variations of XCO2 characteristics in China during 2009–2016. Moreover, the factors influencing changes in XCO2 were investigated. Results showed XCO2 concentrations in China increased at an average rate of 2.28 ppm/a, with significant annual seasonal variations of 6.78 ppm. The rate of change of XCO2 was greater in south China compared to other regions across China, with clear differences in seasonality. Seasonal variations in XCO2 concentrations across China were generally controlled by vegetation dynamics, characterized by the Normalized Difference Vegetation Index (NDVI). However, driving factors exhibited spatial variations. In particular, a distinct belt (northeast–southwest) with a significant negative correlation (r < −0.75) between XCO2 and NDVI was observed. Furthermore, in north China, human emissions were identified as the dominant influencing factor of total XCO2 variations (r > 0.65), with forest fires taking first place in southwest China (r > 0.47). Our results in this study can provide us with a potential way to better understand the spatiotemporal changes of CO2 concentration in China with NDVI, human activity and biomass burning, and could have an enlightening effect on slowing the growth of CO2 concentration in China.

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Section: Major Influencing Factors Of Xco 2 In Chinamentioning

confidence: 77%

Spatial and Temporal Variations of Atmospheric CO2 Concentration in China and Its Influencing Factors

Shi

Zang

et al. 2020

Atmosphere

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“…Few studies were presented to date, most of them related to forest species (Davidson et al, 2006). Studies carried out with soybean (Verma et al, 2005;Hollinger et al, 2005 andRodrigues et al, 2013) show that the greatest CO 2 fluxes were observed between the phonological stages V5 and V9, that is, during stages of leaf emission and greatest plant vigor. Lower fluxes were found close to the maturation point.…”

Section: Introductionmentioning

confidence: 99%

Soil carbon dioxide flux in a no-tillage winter system

Rafael¹,

Amado²,

Douglas³

et al. 2015

Afr. J. Agric. Res.

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Soil carbon dioxide flux is a complex process which depends on variations of different factors related to climate and soil. The objective of this study was identifying the abiotic factors that most contributed to this flux during different phonologic stages of the sequence black oat-vetch, cultivated under the no tillage system, in the winter, and find out the most important factors. Soil carbon fluxes were measured every 15 min with a LI-COR "long-term" (stationary) chamber, installed on the no tillage site of the rotation: soybean/black oat/soybean/black oat + vetch/corn/turnip/wheat. The factor that mostly influenced soil carbon fluxes was soil temperature, explaining 57% of the flux variation during the cycles of the crops and 80% from tillering to the begin of the elongation stage of the black oat. The phonologic stages of the black oat in the consortium black oat + vetch that mostly contributed to the carbon soil flux were from the begin of the tillering to the begin of the elongation, and from the elongation to massive grain of the black oat.

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“…Logo, a utilização da ferramenta do NDVI pode ser bastante eficiente para detectar variações temporais sazonais e interanuais na fenologia de culturas, diferentes períodos de crescimento, pico de cobertura verde, mudanças fisiológicas das folhas e períodos de senescência (Ponzoni, 2007). Rodrigues et al (2013) estudando fluxos de gases do efeito estufa em agroecossistemas obteve importantes resultados em se tratando dessa metodologia, visto que o comportamento dos diferentes estágios fenológicos das espécies foi correlacionado com os níveis de emissão desses gases. Contrariamente, Coltri et al (2009) estudando a emissão de gases correlata a biomassa vegetal identificou necessidades de calibração no método, com baixo índice de correlação direta dos dados.…”

Section: Resultsunclassified

Gases De Efeito Estufa Sob Fitofisionomias Do Cerrado No Parque Nacional Das Nascentes Do Rio Parnaíba – PNNRP

Costa

Iwata

Coelho

et al. 2018

MSJ

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As alterações climáticas têm colocado em evidência o papel dos ecossistemas terrestres em relação à mitigação das emissões e aumento dos níveis dos gases de efeito estufa lançados na atmosfera. Assim, o presente estudo teve por objetivo quantificar a taxa de emissão de CO2, CH4 e N2O do solo em diferentes fitofisionomias do bioma Cerrado presentes no Parque Nacional das Nascentes do Rio Parnaíba – PNNRP. Para esta avaliação foram delimitadas duas parcelas de 1 ha sob duas fitofisionomias do Cerrado (Sensu Stricto e Cerradão), as quais foram subdivididas em cinco subparcela equivalente a 0,2 ha. As medições foram realizadas por meio do Monitor Multigases – MX6 iBrid TM e seus dados trabalhadas por espacialização do comportamento dos gases para cada fitofisionomia e determinação do Índice de Vegetação por Diferença Normalizada (NDVI). À distribuição dos gases emitidos no Parque, apresentaram correlação direta com a disposição dos estratos vegetais das parcelas estudadas. Em relação à taxa de emissão dos gases de efeito estufa, verificou-se uma maior emissão de N2O do solo para atmosfera, seguida por emissões de CO2 e CH4 respectivamente. Tanto a emissão de CO2 quanto N2O se mostraram significativas em termos de fitofisionomias, sendo a fitofisionomia de predominante emissão destes gases o Cerrado Sensu Stricto. Enquanto as emissões de metano foram superiores na área sob estrato de Cerradão. Neste contexto, o PNNRP apresentou emissões significativas quanto aos gases de efeito estufa, embora seja decorrente de relações naturais existentes entre o sistema solo-planta-atmosfera em suas fitofisionomias.

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NDVI e fluxo de CO2 em lavoura de soja no Rio Grande do Sul

Cited by 7 publications

References 13 publications

Spatial and Temporal Variations of Atmospheric CO2 Concentration in China and Its Influencing Factors

Spatial and Temporal Variations of Atmospheric CO2 Concentration in China and Its Influencing Factors

Soil carbon dioxide flux in a no-tillage winter system

Gases De Efeito Estufa Sob Fitofisionomias Do Cerrado No Parque Nacional Das Nascentes Do Rio Parnaíba – PNNRP

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