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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

Author:
  • Stefan Olin
  • Guy Schurgers
  • Mats Lindeskog
  • David Wårlind
  • Benjamin Smith
  • Per Bodin
  • Jennie Holmér
  • Almut Arneth
Publishing year: 2015
Language: English
Pages: 2489-2515
Publication/Series: Biogeosciences
Volume: 12
Document type: Journal article
Publisher: Copernicus Publications

Abstract english

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.

Keywords

  • Climate Research
  • Environmental Sciences related to Agriculture and Land-use

Other

Published
  • ISSN: 1726-4189
E-mail: mats [dot] lindeskog [at] nateko [dot] lu [dot] se

Postdoctoral fellow

Dept of Physical Geography and Ecosystem Science

+46 46 222 42 57

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Department of Physical Geography and Ecosystem Science
Lund University
Sölvegatan 12
S-223 62 Lund
Sweden

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