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Global Linkages Between Vegetation, Atmospheric Composition and Climate
Fall AGU Meeting, San FranciscoDecember 19, 2008
Colette L. Heald
Acknowledgements:Dominick Spracklen, Russ Monson, Mick Wilkinson, Clement Alo, Guiling Wang, Alex
Guenther, Daven Henze, Larry Horowitz, Johannes Feddema, Jean-Francois Lamarque, Peter Hess, Francis Vitt, John Seinfeld, Allen Goldstein, Inez Fung
DISTURBANCE:Fires, beetles,
land use change
EMISSIONS:ParticlesOrganics
NOx…
+ oxidants
+ oxidation
O3
ANTHROPOGENIC INFLUENCE
↓ OH = ↑ CH4 lifetime
+ FEEDBACKS FROM CLIMATE CHANGE
(moisture, precipitation, T, hv)
?
PBAP
SOA
C5H8
FUTURE PREDICTION OF SECONDARY ORGANIC AEROSOLSources may be large(?), how MIGHT they change?
ZONAL MEAN SOA CONCENTRATIONS: 2100-2000
(ANTHROPOGENIC EMISSIONS):
POA (partitioning)Aromatics (precursor)
Trace gases (NOx, oxidants)
(BIOGENIC EMISSIONS):
BVOC (precursor)
(CLIMATE):Precipitation (lifetime)
T (partitioning, oxidation)Convection (distribution,
lifetime)Lightning (NOx aloft)Water vapour (POH)
(ANTHROPOGENIC LAND USE)
Climate impact is complex/compensatory/uncertain. Predict large increase in SOA burden (> 20%) tied to T-driven BVOC emissions,
with large sensitivity to future land use.
Global Model: NCAR CAM3-CLM3 (2x2.5)
[Heald et al., 2008]
METEOROLOGICAL AND PHENOLOGICAL VARIABLES CONTROLLING ISOPRENE EMISSION
LIGHTDiffuse and direct radiationInstantaneous and accumulated (24 hrs and 10 days)
TEMPERATURE (Leaf-level)instantaneous and accumulated (24 hrs, 10 days)
TPAR
L
T
[Guenther et al., 2006]SOIL MOISTURE suppressed under drought
AMOUNT OF VEGETATION Leaf area index (LAI)
Month
LAISUMMER
LEAF AGEMax emission = mature Zero emission = new
Eisoprene ≈ ECH4
ISOPRENE IN THE FUTURE
Isoprene emissions projected to increase substantially due to warmer climate and increasing vegetation density.
LARGE impact on oxidant chemistry and climate
2000 2100
NPP ↑ Temperature↑
Surface O3 ↑ 10-30 ppb [Sanderson et al., 2003]
Methane lifetime increases[Shindell et al., 2007] SOA burden ↑ > 20%
[Heald et al., 2008]
CO2 INHIBITION COMPENSATES FOR PREDICTED TEMPERATURE-DRIVEN INCREASE IN ISOPRENE EMISSION
CONCLUSION: Isoprene emission predicted to remain ~constantImportant implications for oxidative environment of the troposphere…
* With fixed vegetation
508 523
696
479Eis
op
(TgC
yr-1)
2000 2100 (A1B)
MEGANMEGAN with CO2 inhibition
Global Model: NCAR CAM3-CLM3 (2x2.5)
Empirical parameterization from plant studies
[Wilkinson et al., GCB, in press]
UNLESS…CO2 FERTILIZATION IS STRONG
CLM DGVM projects a 3x increase in LAI associated with NPP and a northward expansion of vegetation.
[Alo and Wang, 2008]
Isoprene emissions more than double! (1242 TgCyr-1)
BUT, recent work suggests that NPP increases may be
overestimated by 74% when neglecting the role of
nutrient limitation [Thornton et al., 2007]
[Heald et al., GCB, in press]
PRIMARY BIOLOGICAL AEROSOL PARTICLES (PBAP)
POLLEN
BACTERIA VIRUSES
FUNGUS
ALGAEPLANTDEBRIS
How much does this source contribute to fine-mode OC?
Jaenicke [2005] suggests may be as large a source as dust/sea salt (1000s Tg/yr)Elbert et al. [2007] suggest emission of fungal spores ~ 50 Tg/yr
LARGE particles (> 10 µm)
PRELIMINARY EMPIRICAL PBAP SIMULATIONElbert et al. [2007] identify that mannitol is a tracer for fungal spores
1 pg mannitol = 39 pg OM*
Global Model: GEOS-Chem (2x2.5)
Emission = constant[Elbert al., 2007] Emission = f(LAI, H2O)
A number of meteorological drivers could be expected to modulate fungal PBAP emissions. Here we find LAI and atmospheric water vapour concentrations are
the best predictors for observed average mannitol concentrations.
Test a series of meteorological drivers for mannitol emission.
BEST MATCH
PBAP OA (PM2.5) PBAP OA (PM2.5)
FUNGAL PBAP CONTRIBUTES <10% TO FINE-MODE OA SOURCE
Global Annual Emissions: 2003
66
30
POA SOA PBAPfine
PBAPcoarse
< 2.5 m 2.5-10 m
Tg
217
Global Model: GEOS-Chem (2x2.5)
Annual Mean Surface Concentrations
Consistent with AMS observations from AMAZE where OA concentrations were low.Need more PBAP observations!
[Heald and Spracklen, in prep]
CHALLENGES FOR UNDERSTANDING IMPACT OF VEGETATION ON COMPOSITION & CLIMATE AT THE GLOBAL SCALE
1. Land Use (Present/Future)
2. Species Diversity
3. Connecting scales:
SCALE UP?
HOW MUCH IS THERE???