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BioVeL MS11 Workshop - Ecosystem functioning & valuation web services and workflows

Recent model developments in Hungary: Biome-BGC MuSo. Zoltán Barcza , D óra Hidy. BioVeL MS11 Workshop - Ecosystem functioning & valuation web services and workflows. EDDY COVARIANCE TECHNIQUE

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BioVeL MS11 Workshop - Ecosystem functioning & valuation web services and workflows

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  1. Recent model developments in Hungary: Biome-BGC MuSo ZoltánBarcza, Dóra Hidy BioVeL MS11 Workshop - Ecosystem functioning & valuation web services and workflows

  2. EDDY COVARIANCE TECHNIQUE Direct measurement of CO2 exchange between the ecosystems and the atmosphere: role of micrometeorology

  3. Mátra Zoltán NAGY Krisztina PINTÉR Zoltán TUBA [Szent István University] Hegyhátsál Bugac

  4. Bugac sandy soil, drought, grazing (Hungarian gray cattle)

  5. Mátra [Szurdokpüspöki] heavy clay soil

  6. Hegyhátsál 2 measurements at different elevation silt soil

  7. HUNGARY: 3 grassland sites + 1 cropland site • Good opportunity for studying carbon balance of herbaceous vegetation • Eddy covariance: flux separation: daily data is available for GPP and Reco for multiple years • Need for spatial extension and wider applicability of the results • 2004: together with Dóra Hidy modelling activity was initiated • Biome-BGC v4.1.1 MPI was kindly provided by Galina Churkina • Cooperation with Szent István University

  8. Biome-BGC: typical biogeochemical model (pools+fluxes)

  9. Problems: • original parameterization is not usable –need for calibration • C3 grassland phenology routine is unusable • cropland NEE variability is underestimated • special NEE course caused by drought is not reproduced • soil hydrology scheme is outdated • human intervention can not be simulated

  10. Undisturbed ecosystem vs. cultivated arable land: correction is neededModel bias is closely related to crop yield (census data).

  11. Need for spatial application at country-level dominance of croplands Barcza, Z., Haszpra, L., Somogyi, Z., Hidy, D., Lovas, K., Churkina, G., Horváth, L., 2009. Estimation of the biospheric carbon dioxide balance of Hungary using the BIOME-BGC model. Időjárás – Quarterly Journal of the Hungarian Meteorological Service 113, 203-219.

  12. 2003 drought+heat: response of BIOME-BGC was consistent with other models but cause of this was not plausible (respiration increased in spite of drought – measurements do not support this results)

  13. Hegyhátsál, 82m (mixed agriculture)

  14. Modifications are needed!

  15. Biome-BGC MuSo – multilayer soil module • improved phenology – HSGSI method, combination of heatsum and GSI index (Jolly et al., 2005 GCB) • multilayer soil module [soil temperature is also simulated layer by layer] • effect of long lasting drought on plant mortality [leaf senescence] • stomatal conductance control – now with relative soil moisture content • root profile is simulated • + management is implemented [not exclusively for herbaceous vegetation]

  16. Management • mowing [hay meadows] • grazing • typical agricultural practices [ploughing, sowing, harvest, use of organic or inorganic fertilizers] • forest thinning is also implemented [not tested]

  17. Biome-BGC MuSo

  18. Soil hydrology thicknesses of layers from the surface to the bottom: 0.1 m, 0.2 m, 0.4 m and 2.3 m +1 layer at the bottom, with constant soil moisture (field capacity)

  19. Management Hegyhátsál grassland: mowing 1-2 times per year mowing mowing

  20. Drought induced plant mortality at Bugac

  21. Are we closer? [now model structure is even more complex, so we might even introduce further uncertainties!] Effect of drought [cropland]:

  22. New developments • correction of bug related to the calculation of daylight average temperature • drought related leaf senescence – standing dead biomass [intact, turnover might be slow] • annually varying ecophysiological parameters: • e.g. implementation of annually varying whole plant mortality (dynamic mortality)- forests

  23. Unresolved issues • soil carbon content is too high after spin-up [recalcitrant SOM is overestimated] • if soil carbon is reduced by e.g. increased mortality during spin-up then fluxes are underestimated • this is caused by N limitation caused by reduced SOM • LAI is overestimated • multilayer soil module might need improvements

  24. Big challenge – model-data fusion Keenan et al. 2011 Oecologia

  25. Hegyhátsál, cropland, BBGC MPI

  26. Hegyhátsál, cropland, BBGC MuSo, MPI EPC

  27. Future? • croplands: ANTHRO-BGC is already available • MuSo logic was merged with ANTHRO-BGC (thanks to Shaoxiu) • summer crops are not handled • annually varying management options, SOM profile?

  28. Thank you for your attention

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