La Scala, Jr., N.
Archer, D. W.
Reicosky, D. C.
Total Authors: 5
 Univ Estadual Paulista, FCAV, BR-14884900 Sao Paulo - Brazil
 USDA ARS, Soil & Water Management Unit, St Paul, MN 55108 - USA
 USDA ARS, No Great Plains Res Lab, Mandan, ND 58554 - USA
 USDA ARS, N Cent Soil Conservat Res Lab, Morris, MN 56267 - USA
Total Affiliations: 4
European Journal of Soil Science;
Field of knowledge:
Web of Science Citations:
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)