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ORNL is managed by UT-Battelle for the US Department of Energy
Vegetation turnover and nitrogen
feedback drive carbon sequestration
in response to elevated CO2
Anthony Walker, Martin De Kauwe, Belinda Medlyn, Sönke Zaehle , Richard Norby
& the FACE-MDS team
2. NACP Meeting 2015
Predictive understanding • of what?• at what scales?• with what accuracy?
where is there?where do we want to be?
are we there yet?
3. NACP Meeting 2015
Predictive understanding? (of terrestrial C sequestration in response to
eCO2)
Land C sequestration
Land C release
11 CMIP5 Earth-System models under 3 scenarios of CO2 coupling
Ocean C sequestration
Ocean C release
Arora et al. (2013) J. of Clim.
4. NACP Meeting 2015
FACE-MDS was set up to evaluate predictive understanding of ecosystem responses to
elevated CO2
5. NACP Meeting 2015
Duke FACEPinus taedaNorth Carolina, USA
Oak Ridge FACE Liquidambar styraciflua - Tennessee, USA
Ambient & elevated CO2 treatments, site specific meteorological data, parameterisation, and land use history used to simulate the Duke and Oak Ridge FACE sites:
– Experiment simulations for 11 years
– Extended simulations for 300 years
FACE model-data synthesis (FACE-MDS) Synthesising models & experiments to advance
our predictive understanding
data: cdiac.ornl.gov/face
6. NACP Meeting 2015
What are the key drivers of model variability in predictions of C sequestration?
Can data from FACE experiments inform/constrain these key drivers?
Land C sequestration
Land C release
7. NACP Meeting 2015
Simulated productivity and sequestration responses to eCO2 over 300 years
Walker et. al. (in revision) BGC
8. NACP Meeting 2015
Cveg
Csoil
fGveg
.NPP
τveg
Cveg τ
soilC
soil
GPP .CUE
Equilibrium ecosystem carbon sequestration analysis
9. NACP Meeting 2015
Equilibrium biomass response to eCO2 is driven by productivity & turnover responses
Walker et. al. (in revision) BGC
10. NACP Meeting 2015
Plant productivity (NPP) is constrained by nitrogen (N) such that NPP is equal to the N taken up by the plant (Nup) multiplied by the N use efficiency of the plant (NUE).
NPP = Nup x NUE
NPP = Nup x NPP/ Nup
N uptake is a major driver of uncertainty in projections of productivity NPP = Nup x
NUE
Years after start of eCO2: 5 100 295 5 100 295 5 100 295
eCO
2 r
espo
nse
(%)
GDAY
CABLE
PNL
CLM4
LPJ-GUESS
O-CN
No PNL
Walker et. al. (in revision) BGC
11. NACP Meeting 2015
Key drivers of variability in modelled C sequestration response
• N uptake (supply & demand vs solely supply)
• Mortality – self-thinning
• Allocation – many schemes resulted in increased wood allocation
• Effect of soil wetness on decomposition
12. NACP Meeting 2015
What are the drivers of model variability in predictions of C sequestration?
Can data from FACE experiments inform/constrain these key drivers?
13. NACP Meeting 2015
ΔNPP ΔNup ΔNUE
Year 1 post eCO2 Final year – initial year
ΔNPP ΔNup ΔNUE
NPP = Nup x NUE
Nup was not well simulated by the models
Because models were unable to reproduce priming effects
Zaehle et. al. 2014 New Phyt.
Model evaluation: N uptake at Duke
14. NACP Meeting 2015 De Kauwe et. al. (2014) New Phyt.
Model evaluation: Allocation at Oak Ridge
15. NACP Meeting 2015
Model evaluation: Turnover & mortality
Not possible with current dataset– Due to the successional stage of the forests & stochastic
distribution of mortality through space and time – Was evidence of less damage in a severe ice storm at
Duke
Model evaluation: Effect of soil water on decomposition
– Model causes not yet fully investigated– Effects in the experiment may be difficult to tease out
from priming effects
16. NACP Meeting 2015
Are we there yet?
Priming
Mortality & Allocation
Soil Water Effects on
Decomposition
The road to predictive understanding of terrestrial C sequestration in response to eCO2
N uptake
Shinichi Asao Ram Oren Tom BodenMichael Dietze Colleen Iversen Bai Yang
Bassil El-Masri Heather McCarthy Xia SongAnna Harper Jeff Warren Lynn TharpThomas Hickler Lynn Fenstermaker And many others …Atul Jain Bob NowakChris Lu Jack MorganYiqi Luo Dan LecainKristina Luus Pat MegonigalWilliam Parton Bruce HungateColin Prentice Lu MengDan Ricciuto Elise PendalShijie Shu Ed RyanPeter Thornton Mark Schimelpfenig
Shusen Wang Don Zak
Ying-Ping Wang Andy Burton
David Wårlind Alan Talhelm
Ensheng Weng Rima Upchurch
Cristian Werner David Ellesworth
Jianyang Xia Adrien Finzi
Ryan Pavlick Anne Gallet-Budynek
Thanks to:
Data:cdiac.ornl.gov/face
FACE-MDS Phase 2