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  Accounting for carbon and nitrogen interactions in the global terrestrial ecosystem model ORCHIDEE (trunk version, rev 4999): multi-scale evaluation of gross primary production

Vuichard, N., Messina, P., Luyssaert, S., Guenet, B., Zaehle, S., Ghattas, J., et al. (2019). Accounting for carbon and nitrogen interactions in the global terrestrial ecosystem model ORCHIDEE (trunk version, rev 4999): multi-scale evaluation of gross primary production. Geoscientific Model Development, 12(11), 4751-4779. doi:10.5194/gmd-12-4751-2019.

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http://dx.doi.org/10.5194/gmd-12-4751-2019 (Publisher version)
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 Creators:
Vuichard, Nicolas, Author
Messina, Palmira, Author
Luyssaert, Sebastiaan, Author
Guenet, Bertrand, Author
Zaehle, Sönke1, 2, Author           
Ghattas, Josefine, Author
Bastrikov, Vladislav, Author
Peylin, Philippe, Author
Affiliations:
1Terrestrial Biosphere Modelling, Dr. Sönke Zähle, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938309              
2Terrestrial Biosphere Modelling, Dr. Sönke Zähle, Department Biogeochemical Integration, Prof. Dr. Martin Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497787              

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 Abstract: Nitrogen is an essential element controlling ecosystem carbon (C) productivity and its response to climate change and atmospheric [CO2] increase. This study presents the evaluation – focussing on gross primary production (GPP) – of a new version of the ORCHIDEE model that gathers the representation of the nitrogen cycle and of its interactions with the carbon cycle from the OCN model and the most recent developments from the ORCHIDEE trunk version.

We quantify the model skills at 78 Fluxnet sites by simulating the observed mean seasonal cycle, daily mean flux variations, and annual mean average GPP flux for grasslands and forests. Accounting for carbon-nitrogen interactions does not substantially change the main skills of ORCHIDEE, except for the site-to-site annual mean GPP variations, for which the version with carbon-nitrogen interactions is in better agreement to observations. However, the simulated GPP response to idealized [CO2] enrichment simulations is highly sensitive to whether or not carbon-nitrogen interactions are accounted for. Doubling of the atmospheric [CO2] induces an increase of the GPP, but the site-averaged GPP response to CO2 increase projected by the model version with carbon-nitrogen interactions is half of the increase projected by the version without carbon-nitrogen interactions. This model's differentiated response has important consequences for the transpiration rate, which is on average 50mmyr−1 lower with the version with carbon-nitrogen interactions.

Simulated annual GPP for northern, tropical and southern latitudes shows good agreement with the observation-based MTE-GPP product for present-day conditions. An attribution experiment making use of this new version of ORCHIDEE for the time period 1860–2016 suggests that global GPP has increased by 50%, the main driver being the enrichment of land in reactive nitrogen (through deposition and fertilization), followed by the [CO2] increase.

Based on our factorial experiment and sensitivity analysis, we conclude that if carbon-nitrogen interactions are accounted for, the functional responses of ORCHIDEE r4999 better agrees with current understanding of photosynthesis than when the carbon-nitrogen interactions are not accounted for, and that carbon-nitrogen interactions are essential in understanding global terrestrial ecosystem productivity.

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 Dates: 2019-09-092019-11-202019-11-21
 Publication Status: Issued
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 Identifiers: Other: BGC2954
DOI: 10.5194/gmd-12-4751-2019
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Project name : CRESCENDO
Grant ID : 641816
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Geoscientific Model Development
  Other : Geosci. Model Dev.
  Abbreviation : GMD
Source Genre: Journal
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Publ. Info: Göttingen : Copernicus Publ.
Pages: - Volume / Issue: 12 (11) Sequence Number: - Start / End Page: 4751 - 4779 Identifier: ISSN: 1991-959X
CoNE: https://pure.mpg.de/cone/journals/resource/1991-959X