Modeling soil organic carbon dynamics in Oxisols of Ibirubá (Brazil) with the Century Model

Tornquist, Carlos Gustavo; Mielniczuk, João; Cerri, Carlos Eduardo Pellegrino

doi:10.1016/j.still.2009.05.005

Cited by 62 publications

(52 citation statements)

References 41 publications

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“…Similar results were observed in a study by Tornquist et al (2009b), where intensive field sampling, scenario development, and dynamic modeling were used to simulate changes in soil organic C on grasslands in the Ibirubá region (North-Central Rio Grande do Sul). The dominant soil order in the area is deep, very clayey Latosols.…”

Section: Carbon Dynamics After Grassland Conversion To Agriculturesupporting

confidence: 81%

The southern Brazilian grassland biome: soil carbon stocks, fluxes of greenhouse gases and some options for mitigation

2012

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The southern Brazilian grassland biome contains highly diverse natural ecosystems that have been used for centuries for grazing livestock and that also provide other important environmental services. Here we outline the main factors controlling ecosystem processes, review and discuss the available data on soil carbon stocks and greenhouse gases emissions from soils, and suggest opportunities for mitigation of climatic change. The research on carbon and greenhouse gases emissions in these ecosystems is recent and the results are still fragmented. The available data indicate that the southern Brazilian natural grassland ecosystems under adequate management contain important stocks of organic carbon in the soil, and therefore their conservation is relevant for the mitigation of climate change. Furthermore, these ecosystems show a great and rapid loss of soil organic carbon when converted to crops based on conventional tillage practices. However, in the already converted areas there is potential to mitigate greenhouse gas emissions by using cropping systems based on no soil tillage and cover-crops, and the effect is mainly related to the potential of these crop systems to accumulate soil organic carbon in the soil at rates that surpass the increased soil nitrous oxide emissions. Further modelling with these results associated with geographic information systems could generate regional estimates of carbon balance.Keywords: pampa biome, management, soil organic matter, global warming, climate change.Campos do sul do Brasil: estoques de carbono no solo, fluxos de gases de efeito estufa e algumas opções para mitigação ResumoOs campos do sul do Brasil são ecossistemas naturais com alta diversidade e têm sido há séculos importantes para a atividade pastoril e para outros importantes serviços ambientais. Este trabalho aponta os principais fatores que controlam os processos ecossistêmicos, revisa e discute os dados disponíveis sobre os estoques de carbono no solo e as emissões de gases de efeito estufa dos solos, e sugere oportunidades de mitigação das mudanças climáticas. A pesquisa sobre as emissões de carbono e gases de efeito estufa nos campos do sul do Brasil é recente e os resultados são ainda fragmentados. Os dados disponíveis indicam que os ecossistemas campestres naturais manejados adequadamente contêm estoques importantes de carbono orgânico no solo e, portanto, sua conservação é relevante para a mitigação das mudanças climáticas. Além disso, esses ecossistemas apresentam uma grande e rápida perda de carbono orgânico do solo quando convertidos para lavouras com preparo convencional do solo. No entanto, nas áreas já convertidas, há potencial para mitigar as emissões de gases de efeito estufa por meio de sistemas de cultivo usando plantio direto e rotações de culturas baseadas em plantas de cobertura de solo. O efeito está relacionado principalmente ao potencial desses sistemas de cultivo para acumular matéria orgânica do solo em taxas que superam o aumento das emissões de óxido nitroso. O uso de modelos com...

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Section: Carbon Dynamics After Grassland Conversion To Agriculturesupporting

confidence: 81%

The southern Brazilian grassland biome: soil carbon stocks, fluxes of greenhouse gases and some options for mitigation

2012

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“…É o modelo mais utilizado no estudo da dinâmica do COT (Parton et al, 1987;Metherell et al, 1993). No Brasil, muitas aplicações do modelo já foram realizadas em ambientes agrícolas (Leite et al, 2004;Oliveira, 2005;Lopes et al, 2008;Tornquist et al, 2009;Lopes et al, 2010) e em florestas nativas (Amazônia), convertidas em áreas de pastagens com gramíneas exóticas, como a Brachiaria sp. (Cerri et al, 2004;2007a,b).…”

Section: Introductionunclassified

Dinâmica do Carbono e Nitrogênio em Plantações de Eucalipto no Rio Grande do Sul

Wink

Reinert

Tornquist

et al. 2015

Rev. Bras. Ciênc. Solo

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resumo a expansão de plantações de eucalipto no sul do brasil na última década, especialmente em áreas com campos naturais, potencialmente altera a dinâmica do carbono orgânico total (Cot) e nitrogênio total (nt) do solo. objetivou-se testar o modelo Century 4.5 na simulação das mudanças de estoques de COT e NT na camada superficial (0,0-0,2 m) do solo, em povoamentos de Eucalyptus sp. com diferentes idades em três municípios no rs. Áreas adjacentes com campos naturais foram usadas para estimar os estoques originais de Cot e nt desses locais. o modelo Century 4.5 apresentou bom ajuste na simulação do estoque de Cot no solo, com valores similares entre os simulados e observados, podendo ser empregado na simulação da dinâmica da matéria orgânica no campo natural e nas plantações de eucalipto dos diferentes locais estudados. Para o estoque de nt do solo, mesmo com as alterações de parâmetros, o modelo Century 4.5 não conseguiu simular esse estoque do solo com eficácia e acurácia estatística aceitável. Palavras-chave: matéria orgânica do solo, modelo Century, silvicultura.

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“…Also, effect of management practices on SOM have been well-addressed [5] [6] [16] [17], in part on the basis of simulation models [1] [18]. What remains short is quantitative information on the influence of SOM level on nutrient availability in farmers' field and on economic aspects of increasing SOM.…”

Section: Introductionmentioning

confidence: 99%

Potential for Increasing Soil Nutrient Availability via Soil Organic Matter Improvement Using Pseudo Panel Data

Chavez¹,

Berentsen²,

Oenema³

et al. 2014

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Fixed and random effect models were applied to a pseudo-panel data built of soil analysis reports from tobacco farms to analyze relationships between soil characteristics like soil organic matter (SOM) and soil nitrogen (N), phosphorous (P) and potassium (K) and to explore the potential for improving nutrients availability by increasing SOM content. These econometric models may account for unobserved specific characteristics such as location-specific characteristics, management strategies, farmers' skills and preferences and environmental heterogeneity. Positive relationships were found between N, P and K availability and SOM. The random effect model reports a highly significant elasticity of N with respect to SOM of 0.75, meaning that an increase of 1% of SOM will increase soil N by 0.75%. Using this elasticity, the required SOM improvement of green manure was calculated at which costs of green manure would exactly equal benefits in terms of reduced N fertilizer use. Costs and benefits are equal if the SOM increases from 1.55% to 3.61%, which is barely achieved according to the literature. Hence, growing green manure crops to increase SOM and thereby N availability is not economically attractive. However, additional benefits may arise from SOM improvement and growing green manure crops.

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Modeling soil organic carbon dynamics in Oxisols of Ibirubá (Brazil) with the Century Model

Cited by 62 publications

References 41 publications

The southern Brazilian grassland biome: soil carbon stocks, fluxes of greenhouse gases and some options for mitigation

The southern Brazilian grassland biome: soil carbon stocks, fluxes of greenhouse gases and some options for mitigation

Dinâmica do Carbono e Nitrogênio em Plantações de Eucalipto no Rio Grande do Sul

Potential for Increasing Soil Nutrient Availability via Soil Organic Matter Improvement Using Pseudo Panel Data

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