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| Titel |
Importance of crop varieties and management practices: evaluation of a process-based model for simulating CO2 and H2O fluxes at five European maize (Zea mays L.) sites |
| VerfasserIn |
L. Li, N. Vuichard, N. Viovy, P. Ciais, T. Wang, E. Ceschia, W. Jans, M. Wattenbach, P. Beziat, T. Gruenwald, S. Lehuger, C. Bernhofer |
| 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 ; 8, no. 6 ; Nr. 8, no. 6 (2011-06-29), S.1721-1736 |
| Datensatznummer |
250005966
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| Publikation (Nr.) |
 copernicus.org/bg-8-1721-2011.pdf |
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| Zusammenfassung |
| This paper is a modelling study of crop management impacts on carbon and
water fluxes at a range of European sites. The model is a crop growth model
(STICS) coupled with a process-based land surface model (ORCHIDEE). The data
are online eddy-covariance observations of CO2 and H2O fluxes at
five European maize cultivation sites. The results show that the
ORCHIDEE-STICS model explains up to 75 % of the observed daily net
CO2 ecosystem exchange (NEE) variance, and up to 79 % of the latent
heat flux (LE) variance at five sites. The model is better able to reproduce
gross primary production (GPP) variations than terrestrial ecosystem
respiration (TER) variations. We conclude that structural deficiencies in
the model parameterizations of leaf area index (LAI) and TER are the main
sources of error in simulating CO2 and H2O fluxes. A number of
sensitivity tests, with variable crop variety, nitrogen fertilization,
irrigation, and planting date, indicate that any of these management factors
is able to change NEE by more than 15 %, but that the response of NEE to
management parameters is highly site-dependent. Changes in management
parameters are found to impact not only the daily values of NEE and LE, but
also the cumulative yearly values. In addition, LE is shown to be less
sensitive to management parameters than NEE. Multi-site model evaluations,
coupled with sensitivity analysis to management parameters, thus provide
important information about model errors, which helps to improve the
simulation of CO2 and H2O fluxes across European croplands. |
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