Spatial and temporal variability of soil CO2 emission in a sugarcane area under green and slash-and-burn managements

Panosso, Alan Rodrigo; Marques, José Carlos; Pereira, Gener Tadeu; Scala, Newton La

doi:10.1016/j.still.2009.09.008

Cited by 80 publications

(102 citation statements)

References 30 publications

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“…Furthermore, the seasonal factors obtained in this study, such as temperature, soil moisture, air humidity and AFPS did not affect FCO 2 in SG-10. These results indicate that FCO 2 in SG-10 was more stable than in SG-5, with no influence of soil temperature and moisture which, according to some studies, are considered to be the main factors affecting the temporal variability of FCO 2 (La Scala Jr et al, 2000a;Xu and Qi, 2001;Epron et al, 2004;Panosso et al, 2009). …”

Section: Temporal Variabilitymentioning

confidence: 65%

“…Table 1. Descriptive statistics for CO 2 emission, soil moisture and air-filled pore space in 5-and 10-year sugarcane green harvest areas (SG-5 and SG-10, respectively) in the dry and rainy periods, and soil temperature in the dry and rainy periods (n=81) identified the influence of soil moisture on FCO 2 (Kosugi et al, 2007;Panosso et al, 2009;Liu et al, 2011). This effect can be explained by the fact that the rainy period is characterized by more soil moisture and higher temperatures, which are better conditions for microbial activity.…”

Section: Temporal Variabilitymentioning

confidence: 99%

“…In order to better quantify soil CO 2 emission in agricultural areas, it is imperative to characterize its spatial and temporal variability and how these parameters are affected by management practices (Panosso et al, 2009). Kosugi et al (2007) demonstrated the complexity of soil respiration patterns, since spatial variability indicates CO 2 emissions are lower where the soil water content is higher; however, in terms of temporal variability, the opposite effect was found, as soil respiration was higher with increasing soil moisture.…”

Section: Introductionmentioning

confidence: 99%

“…Brito et al (2009) observed that low areas with a convex structure are likely to collect surface run-off and thereby increase the amount of moisture infiltrating the soil microbial population, resulting in higher rates of C mineralization and CO 2 emissions. Panosso et al (2009) compared the spatial and temporal variability of soil CO 2 emissions in pre-harvest burning with a seven-year green harvest system and found that the CO 2 emissions were 39 % higher in the burned plot when compared to the green one. Additionally, they showed that, with green management, CO 2 was more homogeneous when spatial and temporal variability were considered.…”

Section: Introductionmentioning

confidence: 99%

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Spatial and Temporal Variability of Soil CO2 Flux in Sugarcane Green Harvest Systems

Tavares

Souza

Scala

et al. 2016

Rev. Bras. Ciênc. Solo

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ABSTRACT:The sugarcane green harvest system, characterized by mechanized harvesting and the absence of crop burning, affects soil quality by increasing crop residue on the soil surface after harvest; thus, it contributes to improving the physical, chemical, and microbiological properties and influences the soil carbon content and CO 2 flux (FCO 2 ). This study aimed to evaluate the spatial and temporal variability of soil FCO 2 in sugarcane green harvest systems. The experiment was conducted in two areas of sugarcane in São Paulo, Brazil: the first had a 5-year history of sugarcane green harvest (SG-5) and the second had a longer history of 10 years (SG-10). The temporal FCO 2 were evaluated in the dry and rainy periods, and spatial variability in the dry period, and related to soil chemical and physical properties, including organic C porosity, bulk density, soil penetration resistance, mean weight diameter of soil aggregates, clay, P, S, Ca, Mg and Fe. The temporal variability indicated no differences between the dry and rainy periods in SG-10, while in SG-5 soil moisture was increased by 33 % in the rainy period. The spatial variability indicated a different pattern from the temporal one, where FCO 2 in SG-10 was correlated with soil temperature, air-filled pore space, total porosity, soil moisture, and the Ca and Mg contents; in the SG-5 area, FCO 2 was correlated with soil mean weight diameter of soil aggregates and the sulfur content.

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Section: Temporal Variabilitymentioning

confidence: 65%

Section: Temporal Variabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial and Temporal Variability of Soil CO2 Flux in Sugarcane Green Harvest Systems

Tavares

Souza

Scala

et al. 2016

Rev. Bras. Ciênc. Solo

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“…24 No estado de São Paulo não existem registros das taxas de emissão em áreas florestais, especialmente naquelas situadas no bioma da Mata Atlântica, e os levantamentos realizados foram exclusivamente em áreas de cultivo de cana de açúcar, sendo observadas variações nas emissões devido à topografia e aos tipos de manejo empregados. [24][25][26] Propostas de restauração florestal indicadas no Pacto pela Restauração da Mata Atlântica preveem o plantio e a restauração de 15 milhões de hectares em todo o Brasil até o ano de 2050. 27 Esta iniciativa irá provocar uma mudança regional no uso e ocupação do solo, o que deve alterar os balanços de CO 2 , ressaltando o papel da Mata Atlântica como reguladora ecossistêmica dessas emissões.…”

Section: Introductionunclassified

Quantificação das emissões de CO2 pelo solo em áreas sob diferentes estádios de restauração no domínio da mata atlântica

Castellano¹,

Moreno²,

Menegário³

et al. 2017

Quim. Nova

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QUANTIFICATION OF SOIL CO 2 EMISSIONS IN TWO FORESTED AREAS UNDER DIFERENT REGENERATION STAGES IN ATLANTIC FOREST.In order to quantify emission rates of CO 2 through the soil from the Atlantic forest under different regeneration stages, two areas located in Rio Claro(SP) were studied. In the first area the forest is regenerated (Plot 23) and the average CO 2 emission is 1.91 mmol m -2 s -1 , while in the recently planted area (Plot 15), the average emission is 1.38 mmol m -2 s -1 . The CO 2 emissions are fairly correlated to soil moisture (r=0.53, P=<0.0001), C/N ratio (r=0.27, p<0.05) and time of measurement (r=0.33, p<0.05). Multiple linear regression models developed are better to reproduce CO 2 soil emissions in recently planted area.Keywords: soil CO 2 emissions, multiple linear regression; infrared gas analyzer; Atlantic forest. INTRODUÇÃOO constante aumento das emissões de gases responsáveis pelo efeito estufa talvez seja uma das principais preocupações ambientais em tempos atuais. Dentre esses gases destaca-se o dióxido de carbono (CO 2 ), responsável por cerca de 60% da intensificação do efeito de estufa, uma vez que desde o início da revolução industrial as concentrações desse gás na atmosfera passaram de 280 ppm para cerca de 390 ppm. [1][2][3] Nos países em desenvolvimento, mudanças no uso e na cobertura da terra, especialmente em ambientes savânicos e florestais, são apontadas como uma das principais causas do aumento das concentrações de CO 2 atmosférico, uma vez que a substituição desses biomas nativos por atividades agrícolas leva ao aumento das emissões de CO 2 pelo solo. 4 As emissões de CO 2 pelo solo correspondem ao CO 2 produzido pela respiração das raízes e dos microrganismos presentes no solo, responsáveis pela decomposição aeróbica de matéria orgânica (MO), sendo influenciadas pelo tipo de vegetação presente, e pelas características do solo. Dentre as principais características do solo que influenciam as emissões destacam-se: umidade, temperatura, textura e estrutura do solo (características físicas); conteúdo de fósforo, relação C/N, pH (características químicas); atividade microbiana (características biológicas), bem como parâmetros climáticos como temperatura, umidade do ar e radiação fotossinteticamente ativa. [5][6][7][8][9][10][11][12][13][14] Na busca do entendimento dos processos que influenciam o balanço global de carbono e, consequentemente, o aquecimento global, diversos estudos e levantamentos foram efetuados nas últimas décadas buscando caracterizar os efluxos de CO 2 pelo solo nos mais diversos biomas do globo terrestre. Emissões em clima temperado são maiores no verão do que no inverno, independentemente do tipo de cobertura vegetal. [15][16][17] A quantificação das emissões de CO 2 também é tema relevante, e a busca por equipamentos de baixo custo e de fácil manuseio em campo tem sido constante. Dentre os métodos empregados, o da câ-mara dinâmica determina o fluxo de CO 2 emitido baseado na variação de concentração dos gases emitidos pelo solo no interior da câmara, 18 com...

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A geostatistical approach to the field-scale pattern of heterotrophic soil CO2 emission using covariates

Herbst

Bornemann²,

Graf

et al. 2011

Biogeochemistry

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Spatial and temporal variability of soil CO2 emission in a sugarcane area under green and slash-and-burn managements

Cited by 80 publications

References 30 publications

Spatial and Temporal Variability of Soil CO2 Flux in Sugarcane Green Harvest Systems

Spatial and Temporal Variability of Soil CO2 Flux in Sugarcane Green Harvest Systems

Quantificação das emissões de CO2 pelo solo em áreas sob diferentes estádios de restauração no domínio da mata atlântica

A geostatistical approach to the field-scale pattern of heterotrophic soil CO2 emission using covariates

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