Simulating the net ecosystem CO2 exchange and its components over winter wheat cultivation sites across a large climate gradient in Europe using the ORCHIDEE-STICS generic model

Nicolas Vuichard, Philippe Ciais, Nicolas Viovy, Longhui Li, Eric Ceschia, Martin Wattenbach, Christian Bernhofer, Carmen Emmel, Thomas Grünwald, Wilma Jans, Benjamin Loubet, Xiuchen Wu

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)

Abstract

Over the last decade, efforts have been carried on to develop and evaluate versions of global terrestrial ecosystem models (GTEM) in which crop specificities are represented. The goal of this study is to evaluate the ability of the ORCHIDEE-STICS (Organising Carbon and Hydrology In Dynamic EcosystEms-Simulateur mulTIdisciplinaire pour les Cultures Standard) GTEM in simulating the observed seasonal variations and annual budgets of net ecosystem exchange (NEE), gross primary production (GPP) and total ecosystem respiration (TER) fluxes over seven wheat sites spanning a large climate gradient in Europe. Overall, the seasonal variations of GPP are well represented by the model, with 5 sites out of 7 exhibiting a correlation coefficient (R) value higher than 0.9 and a normalized standard deviation (NSTD) between 0.8 and 1.2. In comparison, the model performances for catching the seasonal variations of TER are lower, especially in terms of NSTD. Regarding the annual budgets, mean simulated deviations averaged over all sites do not exceed 10% and 15% of the observed annual mean budget, for GPP and TER, respectively. For NEE, the model capacity at estimating annual budgets is low, its mean deviation corresponding to ~35% of the observed mean value. This clearly shows that more accurate model estimates of GPP and especially TER are required for estimating NEE annual budgets. In this respect, past land-use and land-management changes are probably the most crucial processes to add, for getting soil carbon disequilibrium and more accurate NEE annual budgets. From a sensitivity analysis of the modelled fluxes to three management practices (plant variety, sowing date and fertilization intensity), we found that the fertilization is the most sensitive practice impacting the model performances of any flux, both in terms of seasonal variations and annual budgets.

Original languageEnglish
Pages (from-to)1-17
JournalAgriculture, Ecosystems and Environment
Volume226
DOIs
Publication statusPublished - 2016

Fingerprint

ecosystem dynamics
hydrology
winter wheat
net ecosystem exchange
ecosystem respiration
wheat
climate
ecosystems
primary productivity
carbon
ecosystem
winter
seasonal variation
primary production
respiration
terrestrial ecosystem
land use planning
sowing date
crop models
land management

Keywords

  • Carbon dioxide fluxes
  • Croplands
  • Global terrestrial ecosystem model

Cite this

Vuichard, Nicolas ; Ciais, Philippe ; Viovy, Nicolas ; Li, Longhui ; Ceschia, Eric ; Wattenbach, Martin ; Bernhofer, Christian ; Emmel, Carmen ; Grünwald, Thomas ; Jans, Wilma ; Loubet, Benjamin ; Wu, Xiuchen. / Simulating the net ecosystem CO2 exchange and its components over winter wheat cultivation sites across a large climate gradient in Europe using the ORCHIDEE-STICS generic model. In: Agriculture, Ecosystems and Environment. 2016 ; Vol. 226. pp. 1-17.
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abstract = "Over the last decade, efforts have been carried on to develop and evaluate versions of global terrestrial ecosystem models (GTEM) in which crop specificities are represented. The goal of this study is to evaluate the ability of the ORCHIDEE-STICS (Organising Carbon and Hydrology In Dynamic EcosystEms-Simulateur mulTIdisciplinaire pour les Cultures Standard) GTEM in simulating the observed seasonal variations and annual budgets of net ecosystem exchange (NEE), gross primary production (GPP) and total ecosystem respiration (TER) fluxes over seven wheat sites spanning a large climate gradient in Europe. Overall, the seasonal variations of GPP are well represented by the model, with 5 sites out of 7 exhibiting a correlation coefficient (R) value higher than 0.9 and a normalized standard deviation (NSTD) between 0.8 and 1.2. In comparison, the model performances for catching the seasonal variations of TER are lower, especially in terms of NSTD. Regarding the annual budgets, mean simulated deviations averaged over all sites do not exceed 10{\%} and 15{\%} of the observed annual mean budget, for GPP and TER, respectively. For NEE, the model capacity at estimating annual budgets is low, its mean deviation corresponding to ~35{\%} of the observed mean value. This clearly shows that more accurate model estimates of GPP and especially TER are required for estimating NEE annual budgets. In this respect, past land-use and land-management changes are probably the most crucial processes to add, for getting soil carbon disequilibrium and more accurate NEE annual budgets. From a sensitivity analysis of the modelled fluxes to three management practices (plant variety, sowing date and fertilization intensity), we found that the fertilization is the most sensitive practice impacting the model performances of any flux, both in terms of seasonal variations and annual budgets.",
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Simulating the net ecosystem CO2 exchange and its components over winter wheat cultivation sites across a large climate gradient in Europe using the ORCHIDEE-STICS generic model. / Vuichard, Nicolas; Ciais, Philippe; Viovy, Nicolas; Li, Longhui; Ceschia, Eric; Wattenbach, Martin; Bernhofer, Christian; Emmel, Carmen; Grünwald, Thomas; Jans, Wilma; Loubet, Benjamin; Wu, Xiuchen.

In: Agriculture, Ecosystems and Environment, Vol. 226, 2016, p. 1-17.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Vuichard, Nicolas

AU - Ciais, Philippe

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AU - Li, Longhui

AU - Ceschia, Eric

AU - Wattenbach, Martin

AU - Bernhofer, Christian

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