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

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dc.contributor.authorLa Scala, N. [UNESP]
dc.contributor.authorLopes, A. [UNESP]
dc.contributor.authorSpokas, K.
dc.contributor.authorArcher, D. W.
dc.contributor.authorReicosky, D. C.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUSDA ARS
dc.date.accessioned2014-05-20T13:14:29Z
dc.date.available2014-05-20T13:14:29Z
dc.date.issued2009-04-01
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.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.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.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.doi10.1111/j.1365-2389.2008.01102.x
dc.identifier.issn1351-0754
dc.identifier.lattes1449605928537533
dc.identifier.lattes3690555450318734
dc.identifier.urihttp://hdl.handle.net/11449/1942
dc.identifier.wosWOS:000264185300012
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.ispartofEuropean Journal of Soil Science
dc.relation.ispartofjcr2.644
dc.relation.ispartofsjr1,440
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.titleShort-term temporal changes of bare soil CO2 fluxes after tillage described by first-order decay modelsen
dc.typeArtigo
dcterms.licensehttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dcterms.rightsHolderWiley-blackwell
unesp.author.lattes1449605928537533
unesp.author.lattes3690555450318734 [2]
unesp.author.orcid0000-0002-5049-5959[3]
unesp.author.orcid0000-0002-1575-9875[1]
unesp.author.orcid0000-0002-4816-7040[4]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

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