modelling dynamic vegetation within the earth system
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Modelling dynamic vegetation within the Earth System models Victor Brovkin Max-Planck-Institut f r Meteorologie KlimaCampus, Hamburg NEESPI Workshop, CITES Conference, Krasnoyarsk, 15 July 2009 Climate system Ocean Land surface after John


  1. Modelling dynamic vegetation within the Earth System models Victor Brovkin Max-Planck-Institut f ü r Meteorologie KlimaCampus, Hamburg NEESPI Workshop, CITES Conference, Krasnoyarsk, 15 July 2009

  2. Climate system Ocean Land surface after John Osborn, NOAA

  3. Interactions between the land surface and the atmosphere that have direct impacts on the physical climate system. ( A ) Surface radiation budget. ( B ) Effect of heat fluxes on the atmosphere. Sellers et al., Science, 1997

  4. Atmospheric gas Climate composition Biogeochemical effects Biogeophysical effects Changes in ecosystems affect Changes in ecosystems affect: sources and sinks of: • Heat fluxes • Greenhouse gases • Water fluxes • Aerosols • Wind (direction and • Other gases (e.g. oxygen) magnitude) Terrestrial ecosystems after Foley et al. (2003)

  5. Climatic control of terrestrial vegetation Purves et al., Life: The Science of biology

  6. K ö ppen climate zones

  7. Vegetation models • Biogeography models (climate-vegetation classifications) – classifications by K ö ppen, Holdridge – plant functional type (PFT) concept: species are lumped into several PFTs, such as evergreen needleleaf trees (BIOME1) – Biogeography + carbon cycle models (BIOME4) • Dynamic Global Vegetation Models (DGVMs) – Fractional land cover representation (plant functional type) – Temporal dynamics – Disturbances as driving forcing of vegetation succession (explicitly or implicitly)

  8. DGVM Cramer et al., Glob. Change Biol., 2001

  9. Vegetation cover: models vs present-day reconstruction Cramer et al., Glob. Change Biol., 2001

  10. JSBACH J ena S cheme for B iosphere- A tmosphere C oupling in H amburg vertical atmosphere column vertical structure AOGCM ECHAM5/MPIOM Atmosphere communication Atmosphere horizontal interface dynamics Ocean vertical dynamics MPIOM land surface processes

  11. Modules of JSBACH Stomata Model: BETHY Dynamic land biosphere - Transpiration (CO 2 -sensitive stomatal cond.) - Photosynthesis: Carbon assimilation (NPP) Phenology model: (LoGro-P) - dynamic Leaf Area Index (LAI) Albedo model: - visible and NIR surface albedo Dynamic land cover: - tiling land approach; 8 PFTs - veget dynamics based on NPP and climate - anthropogenic land cover change Carbon Flow Model: Cbalance - heterotrophic (soil) respiration - net CO 2 -exchange with atmosphere (NEP) - Carbon accounting for plants and soil (C-pools) Soil scheme Soil model: ECHAM5-scheme: - surface/soil hydrology - energy balance - mosaic approach for surface properties

  12. Simple model for dynamic vegetation: concept Tiling of land surface Land area excluded from vegetation dynamics (e.g. crops & pastures, glaciers) Slow variable: Desert or bare ground, B g Fast variable: Bare soil, B s ECHAM land grid cell FPC n FPC i FPC 2 FPC 1 ODE for FPC (fractional projected cover) solved daily: dFPC = − − − burnt damaged i EST ( FPC ) MORT ( FPC ) FPC FPC i i i i dt Bare soil fraction is diagnostic: ∑ ∑ = − + B 1 ( FPC FPC ) s i i grassPFT woodyPFT

  13. Model equations FPC dynamical equation solved daily: dFPC = − − − burnt damaged i EST ( FPC ) MORT ( FPC ) FPC FPC i i i i dt  τ ≥ FPC fraction burnt: max , if q q Mortality:  i crit FPC τ = FPC burn  − = = burnt q q i MORT ( FPC ) i FPC PFT τ + < max crit τ τ i  ( 1 k ), if q q i i mort burn i b crit  PFT q PFT i i crit q – rel. air humidity Establishment: rel NPP = EST ( FPC ) i τ i PFT i Desert fraction: Relative NPP advantage: ∑ = − − − 0 . 5 * LAI B ave (max( 0 , 1 FPC ( 1 e ) )) i α ⋅ g 20 yr i ( NPP ) FPC = rel i i allPFT NPP ∑ α i ( NPP ) FPC k k woodyPFT

  14. Model topology FPC(PFT 2 ) 1 actual „mixed“ equilibrium induced by disturbances 0 1 FPC(PFT 1 ) – potential equilibrium in absence dominant PFT of climate variability  dB B Carbon dynamics is done by = − − − i i GPP R D  τ JSBACH carbon cycle module  i a , i i dt  i FPC dynamics is  dFPC = − i (...) (...) simulated by dynamic veget EST MORT   i i dt module

  15. Wildfire disturbance Fraction burnt (yr -1 ) Coupled model ECHAM5-MPIOM- JSBACH SPITFIRE model (Thonicke et al., submitted)

  16. Tree fraction Observed, MODIS data (Hansen et al., 2006) Interactive ECHAM5-MPIOM- JSBACH Brovkin et al., GRL, 2009

  17. Desert/bare ground fraction Observed, MODIS data (Hansen et al., 2006) Interactive ECHAM5-MPIOM- JSBACH

  18. Climate-vegetation feedbacks: interactive loop Temperature, precipitation Vegetation Atmosphere/ cover ocean Albedo, transpiration, runoff, surface roughness

  19. Climate response to global forest or grass cover Global annual mean temperature, ° C forest grass interactive vegetation fixed vegetation Brovkin et al., GRL, 2009

  20. Temperature changes ( ° C) relative to CTRL simulation FOREST world GRASSLAND world Winter (DJF) Summer (JJA) ° C Brovkin et al., GRL, 2009

  21. Projected changes in boreal forest cover in the Hadley Centre model potential dynamic Jones et al., Nature Geoscience, 2009

  22. Perspective on vegetation modelling • Going beyond PFT concept – Increased representativeness of species, modelling on the patches level (e.g. LPJ-GUESS) – Flexible reclassification of PFTs for paleo-applications – Direct modelling of climate-relevant plant traits (albedo) response to climate change without PFT step • Better representation of spatial and temporal heterogenuity of vegetation cover & climate variabilty – Accounting for formation of vegetation patterns – Rainfall intermittency in drylands – Disturbances regimes

  23. TERRABITES – new European biospheric network (COST Action ES0805) The main objective of the Action is a cross-disciplinary assessment of our current understanding of the terrestrial biosphere from an Earth system perspective to improve the reliability of future Earth system projections in coupled climate-biosphere simulations Bringing together biospheric modellers, ecologists, and data gathering community 4 working groups: • WG 1: Modeling plant functioning • WG 2: Modeling carbon and nutrient cycling • WG 3: Modeling plant ecology • WG 4: Modeling human land use Chair of Action MC: Christian Reick, MPI for Meteorology (Hamburg) Action duriation: June 2009 – June 2013 Participants: 14 COST countries; 4 non-COST countries & institutions Russian participants invited: Leonid Golubyatnikov (IAP), Dmitry Luri (IG) Open Symposium: 9-11 February 2010, Hamburg www.terrabites.net (not yet available!)

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