 |
| Titel |
Modeling impacts of farming management practices on greenhouse gas emissions in the oasis region of China |
| VerfasserIn |
Y. Wang, G. J. Sun, F. Zhang, J. Qi, C. Y. Zhao |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1726-4170
|
| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 8, no. 8 ; Nr. 8, no. 8 (2011-08-30), S.2377-2390 |
| Datensatznummer |
250006090
|
| Publikation (Nr.) |
 copernicus.org/bg-8-2377-2011.pdf |
|
|
|
|
|
| Zusammenfassung |
| Agricultural ecosystems are major sources of greenhouse gas (GHG) emissions,
specifically nitrous oxide (N2O) and carbon dioxide (CO2). An
important method of investigating GHG emissions in agricultural ecosystems
is model simulation. Field measurements quantifying N2O and CO2 fluxes were taken in a summer maize ecosystem in Zhangye City, Gansu
Province, in northwestern China in 2010. Observed N2O and CO2
fluxes were used for validating flux predictions by a
DeNitrification-DeComposition (DNDC) model. Then sensitivity tests on the
validated DNDC model were carried out on three variables: climatic factors,
soil properties and agricultural management. Results indicated that: (1) the
factors that N2O emissions were sensitive to included nitrogen
fertilizer application rate, manure amendment and residue return rate; (2) CO2 emission increased with increasing manure amendment, residue return
rate and initial soil organic carbon (SOC); and (3) net global warming
potential (GWP) increased with increasing N fertilizer application rate and
decreased with manure amendment, residue return rate and precipitation
increase. Simulation of the long-term impact on SOC, N2O and net GWP
emissions over 100 yr of management led to the conclusion that increasing
residue return rate is a more efficient method of mitigating GHG emission
than increasing fertilizer N application rate in the study area. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|