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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/1942
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dc.contributor.authorLa Scala, N.-
dc.contributor.authorLopes, A.-
dc.contributor.authorSpokas, K.-
dc.contributor.authorArcher, D. W.-
dc.contributor.authorReicosky, D. C.-
dc.date.accessioned2014-05-20T13:14:29Z-
dc.date.accessioned2016-10-25T16:35:35Z-
dc.date.available2014-05-20T13:14:29Z-
dc.date.available2016-10-25T16:35:35Z-
dc.date.issued2009-04-01-
dc.identifierhttp://dx.doi.org/10.1111/j.1365-2389.2008.01102.x-
dc.identifier.citationEuropean Journal of Soil Science. Malden: Wiley-blackwell, v. 60, n. 2, p. 258-264, 2009.-
dc.identifier.issn1351-0754-
dc.identifier.urihttp://hdl.handle.net/11449/1942-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/1942-
dc.description.abstractTo 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 dCsoil(t)/dt = -kC(soil)d(t) 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 (F-T) soil fluxes F-T F-NT + a(1) e(-a2t) (model 1) and F-T a(3)F(NT) e(-a4t) (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. t 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. t than model 1. The advantage of this modelling 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.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
dc.description.sponsorshipUniversidade Estadual Paulista (UNESP)-
dc.format.extent258-264-
dc.language.isoeng-
dc.publisherWiley-Blackwell-
dc.sourceWeb of Science-
dc.titleShort-term temporal changes of bare soil CO2 fluxes after tillage described by first-order decay modelsen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUSDA ARS-
dc.description.affiliationUniv Estadual Paulista, FCAV, BR-14884900 São Paulo, Brazil-
dc.description.affiliationUSDA ARS, Soil & Water Management Unit, St Paul, MN 55108 USA-
dc.description.affiliationUSDA ARS, No Great Plains Res Lab, Mandan, ND 58554 USA-
dc.description.affiliationUSDA ARS, N Cent Soil Conservat Res Lab, Morris, MN 56267 USA-
dc.description.affiliationUnespUniv Estadual Paulista, FCAV, BR-14884900 São Paulo, Brazil-
dc.identifier.doi10.1111/j.1365-2389.2008.01102.x-
dc.identifier.wosWOS:000264185300012-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofEuropean Journal of Soil Science-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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