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Swedish University of Agricultural Sciences www.slu.se Uncertainty and verification of soil organic carbon change estimates Erik Karltun and Carina Ortiz Swedish University of Agricultural Sciences
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Swedish University of Agricultural Sciences www.slu.se Carbon in Swedish soils -The carbon stock of Swedish forest soils estimated at 2000 Mton carbon (DOM and SOC) -An annual change of 1 equates to 2 Mton C or 7 Mton CO 2, i.e. > 10% of Swedish national GHG emissions -Soils are both sinks and sources -Reporting needs monitoring and verification – do we have appropriate tools?
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Swedish University of Agricultural Sciences www.slu.se Integrated with the NFI Total number of sampled plots c.4500 DOM and SOC sampled separately Soil type according to World Reference Base Organic soil=Histosols Forest Soil Inventory
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Swedish University of Agricultural Sciences www.slu.se B hor sampled BC sampled 50 cm 0 cm DOM C sampled Interpol. E hor.
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Swedish University of Agricultural Sciences www.slu.se 9091939492959697049900010298030506070809 2 nd Soil Survey3 rd Soil SurveyNo data Extrapol. Sampled UNFCCC-Kyoto reporting ResampledInterpolated Data Reporting timeline
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Swedish University of Agricultural Sciences www.slu.se Two views on soil carbon change
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Swedish University of Agricultural Sciences www.slu.se Models – an alternative way -Carbon pools and carbon pool changes was estimated using to conceptually different dynamic carbon models, Q and Yasso07 -Carbon pool development simulated from 1926 using climate and litter input data -Uncertainty of model output determined by parameter uncertainty analysis and Monte Carlo simulation methodology
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Swedish University of Agricultural Sciences www.slu.se 500 1000 1500 2000 2500 3000 3500 1920193019401950196019701980199020002010 Stående skogsvolym – m 3 Källa: Riksskogstaxeringen, SLU Standing forest volume
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Swedish University of Agricultural Sciences www.slu.se
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Swedish University of Agricultural Sciences www.slu.se
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Swedish University of Agricultural Sciences www.slu.se Conclusions -Small changes in the soil pool can have a considerable impact on the national GHG balance -Over a timeperiod of more than 10 years both models and measurement indicate that mineral soil is a sink but uncertainty is high -The possibility to monitor and verify small changes is limited due to method uncertainty -Soils seem to respond slowly to increase in forest biomass -Combination of various approaches (measurements, models valuable) -Uncertainty reporting must be improved – todays reporting of uncertainty is not relevant to LULUCF
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