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| Titel |
Modelling the response of yields and tissue C : N to changes in atmospheric CO2 and N management in the main wheat regions of western Europe |
| VerfasserIn |
S. Olin, G. Schurgers, M. Lindeskog, D. Wårlind, B. Smith, P. Bodin, J. Holmér, A. Arneth |
| 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 ; 12, no. 8 ; Nr. 12, no. 8 (2015-04-29), S.2489-2515 |
| Datensatznummer |
250117915
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| Publikation (Nr.) |
 copernicus.org/bg-12-2489-2015.pdf |
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| Zusammenfassung |
Nitrogen (N) is a key element in terrestrial ecosystems as it influences both
plant growth and plant interactions with the atmosphere. Accounting for
carbon–nitrogen interactions has been found to alter future projections of
the terrestrial carbon (C) cycle substantially. Dynamic vegetation models
(DVMs) aim to accurately represent both natural vegetation and managed land,
not only from a carbon cycle perspective but increasingly so also for a wider
range of processes including crop yields. We present here the extended
version of the DVM LPJ-GUESS that accounts for N limitation in crops to
account for the effects of N fertilisation on yields and biogeochemical
cycling.
The performance of this new implementation is evaluated against observations
from N fertiliser trials and CO2 enrichment experiments. LPJ-GUESS
captures the observed response to both N and CO2 fertilisation on wheat
biomass production, tissue C to N ratios (C : N) and phenology.
To test the model's applicability for larger regions, simulations are
subsequently performed that cover the wheat-dominated regions of western
Europe. When compared to regional yield statistics, the inclusion of C–N
dynamics in the model substantially increase the model performance compared
to an earlier version of the model that does not account for these
interactions. For these simulations, we also demonstrate an implementation of
N fertilisation timing for areas where this information is not available.
This feature is crucial when accounting for processes in managed ecosystems
in large-scale models. Our results highlight the importance of accounting for
C–N interactions when modelling agricultural ecosystems, and it is an
important step towards accounting for the combined impacts of changes in
climate, [CO2] and land use on terrestrial biogeochemical cycles. |
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