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Circumpolar Assessment of Organic Matter Decomposibility as a Control Over Potential Permafrost Carbon Loss Dr. Ted Schuur Department of Biology, University.

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Presentation on theme: "Circumpolar Assessment of Organic Matter Decomposibility as a Control Over Potential Permafrost Carbon Loss Dr. Ted Schuur Department of Biology, University."— Presentation transcript:

1 Circumpolar Assessment of Organic Matter Decomposibility as a Control Over Potential Permafrost Carbon Loss Dr. Ted Schuur Department of Biology, University of Florida February, 2013 Co-Authors: Christina Schädel, Rosvel Bracho, Bo Elberling, Christian Knoblauch, Agnieszka Kotowska, Hanna Lee, Yiqi Luo, Massimo Lupascu, Susan Natali, Gaius Shaver, Merritt Turetsky

2 Vulnerability of Permafrost Carbon Research Coordination Network (RCN) PIs: Ted Schuur, A. David McGuire Steering Committee: Josep G. Canadell, Jennifer W. Harden, Peter Kuhry, Vladimir E. Romanovsky, Merritt R. Turetsky Postdoctoral Researcher: Christina Schädel Workshop: May 2013; Annual Meeting @ AGU http://www.biology.ufl.edu/permafrostcarbon/ Core funding: Additional Workshop funding:

3 Permafrost Carbon Feedback to Climate What is the magnitude, timing, and form of the permafrost carbon release to the atmosphere in a warmer world? Cumulative C Emissions: 1850-2005 (2012) Fossil Fuel Emissions365 Pg Land Use Change151 Pg Permafrost Zone C Emissions: Future? 7-11% Loss?120-195 Pg Expert Survey (Schuur 2013)(162-288 Pg CO 2 -C eq )

4 2) Permafrost Carbon Quality Leads: Christina Schädel, T. Schuur Incubation synthesis to determine pool sizes and decomposition rates; Network of long-term soil incubation experiments 1) Permafrost Carbon Quantity Leads: Gustaf Hugelius, C. Tarnocai, J. Harden Spatially distributed estimates of deep SOC storage; Quantifying uncertainties in circumpolar permafrost SOC storage 5) Modeling Integration & Upscaling Leads: Dave McGuire P. Canadell, D. Lawrence, Charles Koven, D. Hayes Evaluation of thermal and carbon dynamics of permafrost-carbon models; State-of-the-art assessment of the vulnerability of permafrost carbon and its effects on the climate system 4) Thermokarst Leads: Guido Grosse, B. Sannell Metadata analysis of physical processes/rates; Analysis of thermokarst inventories; Distribution of thermokarst features in the Arctic 3) Anaerobic/Aerobic Issues Leads: David Olefeldt, M. Turetsky Synthesis of CO 2 and CH 4 fluxes from northern lakes and wetlands; Controls on methane emission in permafrost environments Data syntheses in formats for biospheric or climate models Working Group Activities

5 Permafrost Carbon Network Members Current number of: Members: 135+ Institutions: 70 Countries: 16 Working Groups 1)Carbon Quantity: 28 members 2)Carbon Quality: 27 members 3)An/Aerobic: 27 members 4)Thermokarst: 33 members 5)Modeling Integration: 50 members

6 Soil Organic Matter Decomposition Schmidt et al. 2011 1)Chemical recalcitrance (plant & microbial inputs plus transformation in soils) 2)Physical Interactions (disconnection, sorption) 3)Microbial communities (enzyme pathways) 4)Environmental controls (pH, Temp, H 2 O, O 2, etc)

7 Permafrost Zone Incubation Database 40 incubation studies (34 published, 6 unpublished) ~500 unique soil samples long-term incubation synthesis

8 Soil Incubation Synthesis  Lab incubations from permafrost zone (121 samples; 8 studies)  Long-term incubations (1 year+)  Normalized to 5°C (Q 10 =2.5)  Upland boreal, tundra soils (Organic, surface 1m)

9 Carbon Decomposition Model C-pool dynamics Partitioning coefficient 3-pool model CfCf CsCs C p = C tot -(C f +C s ) rsrs rprp rfrf R Schädel et al. 2013 Oecologia Total respiration

10 from passive C pool from slow C pool from fast C pool total C-flux (measured) Partitioning Incubation CO 2 -C Flux

11 Turnover Time Slow C poolFast C poolPassive C pool 500-10,000 Years Model Parameter p<0.05n.s. Time in ‘incubation years’; continuous flux at 5 deg C

12 Carbon Pool Sizes Slow C poolPassive C poolFast C pool p<0.01 n.s.

13 Multiple regression table Variable C:N depth %N Vegetation type Bulk density pH Data were transformed to meet assumption of normality

14 Carbon Loss and C:N 1 year10 year50 year p<0.01 Time in ‘incubation years’; continuous flux at 5 deg C

15 Carbon Loss and Vegetation Type p=0.018p=0.04 n.s. 1 year10 year50 year Time in ‘incubation years’; continuous flux at 5 deg C

16 Results Summary Simple C:N and vegetation type metrics can be used to scale across landscapes and soil maps Vulnerability ranges from ~20% loss in organic soils to <5-10% for mineral soils [5 deg C; 10 incubation years] Vulnerability of boreal soils > tundra soils, but this difference diminishes over time Full incubation dataset can determine sensitivity to changing environmental conditions

17 Carbon Quantity Working Group Modeling Working Group  spatial extent  inventory 3m depth  Permafrost thaw trajectories with IPCC scenarios Hugelius et al. 2012 Harden et al. 2012 Future Upscaling

18 Implications Carbon Pools x Thaw Trajectories x Incubation Rates = Potential Carbon Loss


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