Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Modeling nitrous oxide emissions from irrigated agriculture: testing DayCent with high‐frequency measurements
A unique high temporal frequency data set from an irrigated cotton–wheat rotation was used to test the agroecosystem model DayCent to simulate daily N2O emissions from subtropical vertisols under different irrigation intensities. DayCent was able to simulate the effect of different irrigation intensities on N2O fluxes and yield, although it tended to overestimate seasonal fluxes during the cotton season. DayCent accurately predicted soil moisture dynamics and the timing and magnitude of high fluxes associated with fertilizer additions and irrigation events. At the daily scale we found a good correlation of predicted vs. measured N2O fluxes (r2 = 0.52), confirming that DayCent can be used to test agricultural practices for mitigating N2O emission from irrigated cropping systems. A 25‐year scenario analysis indicated that N2O losses from irrigated cotton–wheat rotations on black vertisols in Australia can be substantially reduced by an optimized fertilizer and irrigation management system (i.e., frequent irrigation, avoidance of excessive fertilizer application), while sustaining maximum yield potentials.
Modeling nitrous oxide emissions from irrigated agriculture: testing DayCent with high‐frequency measurements
A unique high temporal frequency data set from an irrigated cotton–wheat rotation was used to test the agroecosystem model DayCent to simulate daily N2O emissions from subtropical vertisols under different irrigation intensities. DayCent was able to simulate the effect of different irrigation intensities on N2O fluxes and yield, although it tended to overestimate seasonal fluxes during the cotton season. DayCent accurately predicted soil moisture dynamics and the timing and magnitude of high fluxes associated with fertilizer additions and irrigation events. At the daily scale we found a good correlation of predicted vs. measured N2O fluxes (r2 = 0.52), confirming that DayCent can be used to test agricultural practices for mitigating N2O emission from irrigated cropping systems. A 25‐year scenario analysis indicated that N2O losses from irrigated cotton–wheat rotations on black vertisols in Australia can be substantially reduced by an optimized fertilizer and irrigation management system (i.e., frequent irrigation, avoidance of excessive fertilizer application), while sustaining maximum yield potentials.
Modeling nitrous oxide emissions from irrigated agriculture: testing DayCent with high‐frequency measurements
Scheer, Clemens (Autor:in) / Del Grosso, Stephen J. (Autor:in) / Parton, William J. (Autor:in) / Rowlings, David W. (Autor:in) / Grace, Peter R. (Autor:in)
Ecological Applications ; 24 ; 528-538
01.04.2014
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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