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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Short-term temporal changes of bare soil CO2 fluxes after tillage described by first-order decay models

Texto completo
Autor(es):
La Scala, Jr., N. [1] ; Lopes, A. [1] ; Spokas, K. [2] ; Archer, D. W. [3] ; Reicosky, D. C. [4]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Univ Estadual Paulista, FCAV, BR-14884900 Sao Paulo - Brazil
[2] USDA ARS, Soil & Water Management Unit, St Paul, MN 55108 - USA
[3] USDA ARS, No Great Plains Res Lab, Mandan, ND 58554 - USA
[4] USDA ARS, N Cent Soil Conservat Res Lab, Morris, MN 56267 - USA
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: European Journal of Soil Science; v. 60, n. 2, p. 258-264, Apr. 2009.
Área do conhecimento: Ciências Agrárias - Agronomia
Citações Web of Science: 16
Assunto(s):Solos   Dióxido de carbono
Resumo

To further understand the impact of tillage on carbon dioxide (CO2) emission, we compare the performance of two conceptual models that describe CO2 emission after tillage as a function of the non-tilled emission plus a correction resulting from the tillage disturbance. The models assume that C in the readily decomposable organic matter follows a first-order reaction kinetics equation as and that soil C-CO2 emission is proportional to the C decay rate in soil, where C soil ( t) is the available labile soil C (g m-2) at any time ( t) and k is the decay constant (time-1). Two possible relationships are derived between non-tilled (FNT) and tilled (FT) soil fluxes: (model 1) and (model 2), where t is time after tillage. The difference between these two models comes from an assumption related to the k factor of labile C in the tilled plot and its similarity to the k factor of labile C in the non-till plot. Statistical fit of experimental data to conceptual models showed good agreement between predicted and observed CO2 fluxes based on the index of agreement (d-index) and with model efficiency as large as 0.97. Comparisons reveal that model 2, where all C pools are assigned the same k factor, produces a better statistical fit than model 1. The advantage of this modeling approach is that temporal variability of tillage-induced emissions can be described by a simple analytical function that includes the non-tilled emission plus an exponential term, which is dependent upon tillage and environmental conditions. (AU)

Processo FAPESP: 08/58187-0 - Impacto das práticas de gestão sobre a emissão de CO2 do solo em áreas de produção de cana, Sul do Brasil
Beneficiário:Newton La Scala Júnior
Modalidade de apoio: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Temático