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| Titel |
Incorporation of crop phenology in Simple Biosphere Model (SiBcrop) to improve land-atmosphere carbon exchanges from croplands |
| VerfasserIn |
E. Lokupitiya, S. Denning, K. Paustian, I. Baker, K. Schaefer, S. Verma, T. Meyers, C. J. Bernacchi, A. Suyker, M. Fischer |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 6, no. 6 ; Nr. 6, no. 6 (2009-06-12), S.969-986 |
| Datensatznummer |
250003834
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| Publikation (Nr.) |
 copernicus.org/bg-6-969-2009.pdf |
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| Zusammenfassung |
| Croplands are man-made ecosystems that have high net primary productivity
during the growing season of crops, thus impacting carbon and other
exchanges with the atmosphere. These exchanges play a major role in nutrient
cycling and climate change related issues. An accurate representation of
crop phenology and physiology is important in land-atmosphere carbon models
being used to predict these exchanges. To better estimate time-varying
exchanges of carbon, water, and energy of croplands using the Simple
Biosphere (SiB) model, we developed crop-specific phenology models and
coupled them to SiB. The coupled SiB-phenology model (SiBcrop) replaces
remotely-sensed NDVI information, on which SiB originally relied for
deriving Leaf Area Index (LAI) and the fraction of Photosynthetically Active
Radiation (fPAR) for estimating carbon dynamics. The use of the new
phenology scheme within SiB substantially improved the prediction of LAI and
carbon fluxes for maize, soybean, and wheat crops, as compared with the
observed data at several AmeriFlux eddy covariance flux tower sites in the
US mid continent region. SiBcrop better predicted the onset and end of the
growing season, harvest, interannual variability associated with crop
rotation, day time carbon uptake (especially for maize) and day to day
variability in carbon exchange. Biomass predicted by SiBcrop had good
agreement with the observed biomass at field sites. In the future, we will
predict fine resolution regional scale carbon and other exchanges by
coupling SiBcrop with RAMS (the Regional Atmospheric Modeling System). |
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