BioVeL MS11 Workshop - Ecosystem functioning & valuation web services and workflows
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Transcript of BioVeL MS11 Workshop - Ecosystem functioning & valuation web services and workflows
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BioVeL MS11 Workshop - Ecosystem functioning & valuation web services and workflows
Recent model developments in Hungary: Biome-BGC MuSo
Zoltán Barcza, Dóra Hidy
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EDDY COVARIANCE TECHNIQUE
Direct measurement of CO2 exchange between the ecosystems and the atmosphere: role of micrometeorology
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Bugac
Mátra
Hegyhátsál
Zoltán NAGY
Krisztina PINTÉR
Zoltán TUBA
[Szent István University]
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Bugac
sandy soil, drought, grazing (Hungarian gray cattle)
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Mátra [Szurdokpüspöki]
heavy clay soil
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Hegyhátsál
2 measurements at different elevation
silt soil
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• 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
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Biome-BGC:
typical biogeochemical model
(pools+fluxes)
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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• soil hydrology scheme is outdated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
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Undisturbed ecosystem vs. cultivated arable land: correction is neededModel bias is closely related to crop yield (census data).
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Need for spatial application at country-level
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.
dominance of
croplands
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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)
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Hegyhátsál, 82m (mixed agriculture)
1997-2012 mean(excluding 2000 and 2003)
2003 anomaly
GPP meas [gC/m2/year] 1089 779 -310Reco meas [gC/m2/year] 937 823 -114GPP MPI [gC/m2/year] 992 978 -14Reco MPI [gC/m2/year] 980 951 -29
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Modifications are needed!
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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]
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Management
• mowing [hay meadows]
• grazing
• typical agricultural practices [ploughing, sowing, harvest, use of organic or inorganic fertilizers]
• forest thinning is also implemented [not tested]
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Biome-BGC MuSo
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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)
Soil hydrology
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Management
Hegyhátsál grassland:
mowing 1-2 times per year
mowing
mowing
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Drought induced plant mortality at Bugac
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1997-2012 mean(excluding 2000 and 2003)
2003 anomaly
GPP meas [gC/m2/year] 1089 779 -310Reco meas [gC/m2/year] 937 823 -114GPP MPI [gC/m2/year] 992 978 -14Reco MPI [gC/m2/year] 980 951 -29GPP MuSo [gC/m2/year] 945 713 -232Reco MuSo [gC/m2/year] 926 788 -138
Are we closer? [now model structure is even more complex, so we might even introduce further uncertainties!]
Effect of drought [cropland]:
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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
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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
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Keenan et al. 2011 Oecologia
Big challenge – model-data fusion
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Hegyhátsál, cropland, BBGC MPI
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Hegyhátsál, cropland, BBGC MuSo, MPI EPC
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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?
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Thank you Thank you for your for your attentionattention
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