Global Biogeography & Biogeochemistry of C4 Vegetation
The goal of this project is to improve our understanding of C4 photosynthesis in the global carbon cycle. C4 plants are functionally different from C3 plants in several important respects, including stomatal conductance, responses to light, temperature, nitrogen, and CO2, as well as carbon and oxygen isotope fractionation during photosynthesis. As a result, global change affects C3 and C4 plants differentially, with important implications for such essential human needs as food and fiber production and fuel gathering. Climatic variations and land use change heavily impact C4-dominated ecosystems, and C4 crops are critical for the nutritional support of several hundred million people. The carbon isotope signature of biomass burning products in low latitudes depends critically on the relative amounts of C3 and C4 vegetation and their interannual variations. Finally, knowledge of seasonal and interannual C4 carbon fluxes is essential to accurate partitioning of land and ocean carbon sinks through inversion of atmospheric 13CO2 and CO2 data because of the similar isotopic imprint that C4 and oceanic carbon exchanges leave on the atmosphere. Unique isotope disequilibrium fluxes attend these variations and must be accounted for in order to fully exploit the use of 13C for interannual land:ocean partitioning.
The photosynthetic pathway composition (C3/C4 fraction) is a fundamental ecological distinction in tropical and subtropical ecosystems, as well as in many temperate grasslands. C4 plants likely will respond quite differently than C3 plants to the suite of anthropogenic global changes expected in the coming decades. In addition to the well-known differences imposed by rising atmospheric CO2 on photosynthesis (Poorter 1993), C3 and C4 plants are expected to respond differentially to climate change. This is because C4 plants have higher photosynthetic rates at high temperatures and under high light (Collatz et al. 1992; Sage and Monson 1999) and higher water-use efficiency than do C3 plants (Farquhar et al. 1989). The generally lower nitrogen requirements of C4 plants (associated with reduced leaf Rubisco content) produce different responses to nitrogen deposition (Wedin and Tilman 1996; Collins et al. 1998). The 12CO2 molecule is assimilated preferentially relative to 13CO2 during photosynthesis in all vascular land plants. However, C4 photosynthetic assimilation is depleted in 13C relative to the background atmosphere by roughly 0.4%, whereas C3 photosynthetic assimilation is depleted in 13C by ~2% (corresponding to fractionations of 4 and 20‰, respectively, and δ13C values of -12‰ and -28%).
The different isotope fractionations of C3 and C4 plants are relevant for inversion studies that solve for surface carbon fluxes from atmospheric measurements of 13CO2 and CO2. This approach is used to partition net uptake between the land and the ocean, since the physical-chemical processes of air-sea gas exchange don't strongly affect the δ13C of atmospheric CO2 (Keeling et al. 1989; Tans et al. 1993; Enting et al. 1995; Francey et al. 1995; Battle et al. 2000). However, because C4 carbon exchanges are similar isotopically to ocean fluxes, knowledge of C4 flux variations is essential for accurate partitioning, particularly at low latitudes where this plant type is most abundant (Lloyd and Farquhar 1994; Ciais et al. 1995a,b; Fung et al. 1997; Still et al. 2003a).
Another approach to land:ocean partitioning relies on measuring variations in the atmospheric O2 content and comparing these data to expected variations based on fossil fuel burning and cement production (Keeling et al. 1996; Bender et al. 1998). Because net ocean uptake of carbon does not affect atmospheric O2 levels, differences between measured and expected O2 concentrations can then be attributed to changes in the size of the terrestrial biosphere, since O2 is consumed and released by respiration and photosynthesis. This approach complements 13C partitioning because it is better suited to decadal partitioning, while the 13C approach is useful for diagnosing interannual sink attribution (e.g., Keeling et al. 1995; Francey et al. 1995; Langenfelds et al. 1999, 2002; Le Queré et al. 2003). However, in order to fully exploit the 13C tracer for diagnosing interannual variations in land and ocean sinks, interannual variations in C4 vegetation activity must be diagnosed accurately. In addition to the isotopic similarity of C4 and air:sea exchanges, new and unaccounted for isotopic disequilibrium fluxes from mixed C3/C4 ecosystems are likely as a result of the large interannual production variations in such systems.
Interannual Variability in Mixed C3/C4 Ecosystems
Ecosystems containing mixtures of C3 and C4 plants experience extreme natural climate variations. Los (1998) demonstrated a link among variations in sea surface temperature (SST), land precipitation, and vegetation greenness in low latitude, semi-arid regions composed of savanna and grassland ecosystems containing an abundance of C4 plants. Knapp et al. (2002) documented large variations in carbon cycling related to precipitation variation at the Konza Tallgrass Prairie LTER site; significantly, the total amount of precipitation was less important than the variability in its timing and amount. The carbon cycling variations were largely driven by the dominant C4 grass species at the site. Knapp and Smith (2001) also highlighted the intrinsically high variability in aboveground net primary production (ANPP) of grassland and oldfield (herbaceous) ecosystems relative to forest ecosystems across a wide range of LTER study sites. It is precisely such warm, herbaceous ecosystems that contain an abundance of C4 plants.
Multi-year eddy flux data also demonstrate intrinsically large carbon flux variability in grassland ecosystems containing a mixture of C3 and C4 plants (Frank and Dugas 2001; Sims and Bradford 2001; Suyker and Verma 2001; Suyker et al. 2003; Flanagan et al. 2002). In the study by Suyker and Verma (2003), the CV of annual net ecosystem exchange (NEE) was 78%; in the study by Flanagan et al. (2002), the CV of annual NEE was 175%; in the Sims and Bradford study it was 118%. These responses were also largely modulated by precipitation (and thus soil moisture) differences between years. By contrast, the CV of annual NEE at the well-studied Harvard forest flux site from 1991-1995 was 25%, and flux variations were driven by interannual climate variation (Goulden et al. 1996).
Large interannual variations are also apparent in the carbon isotope composition of ecosystem respiration from such ecosystems. Still et al. (2003b) sampled nighttime concentration and isotope gradients above the tallgrass prairie studied by Suyker and Verma (2001) and Suyker et al. (2003) during the 1999 and 2000 growing seasons. This sampling showed distinct differences in the δ13C of ecosystem respiration, which translated to large differences between years in the C4 contribution to respiration. The carbon flux difference between years was driven by precipitation and its influence on C3 vegetation. Recent work at Konza Prairie using the same methods of Still et al. (2003b) also documents large variability in the δ13C of ecosystem respiration (C.T. Lee, personal communication). There are very few studies documenting temporal variations in the δ13C of respiration from low latitude mixed C3/C4 ecosystems. Despite the paucity of such studies, it is likely that production in many mixed C3/C4 ecosystems varies considerably from year-to-year in response to climatic variations. Because of the intrinsically different responses that C3 and C4 plants exhibit in response to light, temperature and moisture, this production variability is driven mostly by changes in the production from each plant type. Thus, the C3/C4 composition co-varies along with the total production.
Isotope Disequilibrium Fluxes from Mixed C3/C4 Ecosystems
Interannual variations (IAV) in C4 production alone will impact the 13C budget and the land:ocean partitioning of the global carbon sink (Fung et al. 1997). However, co-variability in flux and C3/C4 composition in grasslands and savannas has the potential to further complicate our interpretation of the 13C budget because of isotope disequilibrium fluxes accompanying these variations. Isotope disequilibrium fluxes are isotope fluxes that occur even in the absence of net fluxes (i.e., the 13C content of atmospheric CO2 will change but the CO2 concentration is unchanged - Tans et al. 1993; Ciais et al. 1995a,b; Francey et al. 1995). Combined terrestrial and oceanic disequilibrium fluxes increase the δ13C of atmospheric CO2. They result fr om the progressive depletion of atmospheric δ13C (driven by fossil fuel and biomass burning of carbon with a C3 isotopic signature - the Suess effect) interacting with long-lived carbon pools. In essence, the return flux from land or ocean to the atmosphere contains some carbon fixed in past decades when atmospheric δ13C was higher than at present. Since the opposite flux from atmosphere to land or ocean is composed of today's atmosphere, it will by definition have a lower δ13C. Thus an isotopic imbalance results, and it must be accounted for in the land:ocean partitioning equations. As shown by Randerson et al. (2002) and Scholze et al. (2003), other disequilibrium fluxes also impact the partitioning. They suggested that even small variations in C3 photosynthetic discrimination, when coherent over large spatial scales as likely occurs during ENSO years, produce large isotopic disequilibrium fluxes in the following years that impact atmospheric δ13C. Such 'discrimination disequilibria' are distinct from the Suess effect disequilibria that were first identified.
There is likely to be a disequilibrium flux in mixed C3/C4 ecosystems that is very similar to the C3 discrimination disequilibrium highlighted by Randerson et al. (2002). Isotopic disequilibria in these ecosystems, however, are driven by interannual co-variations in flux and C3/C4 mixtures, which would effectively translate as ecosystem discrimination variations. Alternating C3:C4 mixtures will produce disequilibria that enrich or deplete the atmosphere in 13C, depending on the C3-C4 trend direction.
The potential magnitude of global C3/C4 disequilibrium fluxes and their impact on land:ocean partitioning is illustrated by a simple example. Low latitude savannas and grasslands cover some 20 million sq. km, and their combined gross primary production (GPP) is roughly 50 Pg C/yr (Still et al. 2003a). Assuming a conservative annual average isotopic imbalance between photosynthesis and ecosystem respiration of 0.1‰ (or -0.1‰ in the case of a C4-C3 trend - this imbalance is only 0.7% of the isotopic difference between typical C3 and C4 plant d13C), the isotope disequilibrium flux would be ~5 Pg C‰/yr (-5 Pg C ‰ /yr). For comparison, the total land disequilibrium from the Suess effect is roughly 20-25 Pg C‰/yr. Including a C3/C4 disequilibrium of 5 Pg C‰/yr into the standard 13C budget equation with a global terrestrial discrimination of 18‰ would increase the inferred annual ocean sink by 0.3 Pg C (at the expense of the land sink).
Hypotheses
We hypothesize the following:
- Interannual climate variations in mixed C3/C4 ecosystems (savannas and grasslands) produce large year-to-year variations in the net carbon flux from these ecosystems.
- These flux variations are responsible for a significant portion of the inferred tropical variability highlighted in earlier inversion studies.
- These flux variations are accompanied by variations in the C3/C4 composition, as C3 and C4 plants exhibit distinct responses to temperature, moisture and light.
- Flux and C3/C4 mixture variations produce isotope effects that were mistakenly attributed to ocean variations in previous inversions.
- Flux and C3/C4 mixture variations can be diagnosed using products from MODIS and other NASA satellite platforms.
The project
Using a suite of products from sensors onboard Terra, TRMM and Aqua, I will produce seasonal and interannual maps of C3 and C4 vegetation activity for use in climate and carbon cycle models. I will employ these maps in an updated version of the CASA model for calculating seasonal and interannual C3 and C4 carbon and isotope fluxes, including this new class of disequilibrium fluxes. These outputs will also be used for forward modeling of the basis regions used in interannual, 3-D inverse modeling analyses. These analyses will use surface atmospheric CO2 and 13CO2 data collected by NOAA, as well as aircraft data from the LBA, SAFARI and North American Carbon Project (NACP) campaigns where available. The goal of these inversions will be the separation of low latitude ocean fluxes from C4 vegetation fluxes. It is likely that previous 13C inversion studies attributed variable C4 fluxes to the oceans. The proposed inversions should reconcile the divergence of such top-down estimates with bottom-up studies that suggest small equatorial ocean variability. This would be a significant advance in our understanding of the carbon cycle. A separate focus will be determining the contribution of C4 vegetation to the North American carbon cycle in coordination with the NACP.
References
Battle, M. et al. 2000. Global carbon sinks and their variability inferred from atmospheric O2 and δ13C. Science 287: 2467-2470.
Bender, M.L., M. Battle, and R.F. Keeling. 1998. The O-2 balance of the atmosphere: A tool for studying the fate of fossil-fuel CO2. Ann Rev. Energy & Env. 23: 207-223.
Ciais, P., et al. 1999. A global calculation of the d13C of soil respired carbon: Implications for the biospheric uptake of anthropogenic CO2. Glob. Biogeochem. Cycles 13: 519-530.
Collatz, G.J., M. Ribas-Carbo, and J.A. Berry. 1992. Coupled photosynthesis-stomatal conductance model for leaves of C4 plants. Aust. J. Plant Physiol. 19: 519-538.
Collins, S.L., A.K. Knapp, J.M. Briggs, J.M. Blair, and E.M. Steinauer. 1998. Modulation of diversity by grazing and mowing in native tallgrass prairie. Science 280: 745-47.
Enting, I.G., C.M. Trudinger, and R.J. Francey. 1995. A synthesis inversion of the concentration and d13C of atmospheric CO2. Tellus 47B: 35-52.
Farquhar G.D., J.R. Ehleringer, and K.T. Hubick.1989. Carbon isotope discrimination and photosynthesis. Annu. Rev. Plant Physiol. Mol. Biol. 40: 503-537.
Flanagan, L.B., et al. 2002. Seasonal and interannual variation in carbon dioxide exchange and carbon balance in a northern temperate grassland. Glob. Change Biol. 8: 599-615.
Francey, R.J., P.P. Tans, C. Allison, I.G. Enting, J.W.C. White, and M. Trolier. 1995. Changes in oceanic and terrestrial carbon uptake since 1982. Nature 373: 326-330.
Frank, A.B. and W.A. Dugas. 2001. Carbon dioxide fluxes over a northern, semi-arid, mixed grass prairie. Agric. Forest Met. 108: 317-326.
Fung, I.Y., et al. 1997. Carbon-13 exchanges between the atmosphere and biosphere. Global Biogeochemical Cycles 11: 507-533.
Goulden, M., et al. 1996. Exchange of carbon dioxide by a deciduous forest: response to interannual climate variability. Science 271: 1576-1578, 1996.
Keeling, C.D., et al. 1995. Interannual extremes in the rate and rise of atmospheric carbon dioxide since 1980. Nature 375: 666-670.
Keeling, R.F., S.C. Piper, and M. Heimann. 1996. Global and hemispheric CO2 sinks deduced from changes in atmospheric O2 concentration. Nature 381: 218-221.
Knapp, A.K., and M.D. Smith. 2001. Variation among biomes in temporal dynamics of aboveground primary production. Science. 291: 481-484.
Knapp, A.K., et al. 2002. Rainfall variability, carbon cycling, and plant species diversity in a mesic grassland. Science 298: 2202-2205.
Langenfelds, R.L., et al. 1999. Partitioning of the global fossil CO2 sink using a 19-year trend in atmospheric O-2. Geophys. Res. Lett. 26(13): 1897-1900.
Lee, K., et al. 1998. Low interannual variability in recent oceanic uptake of atmospheric carbon dioxide. Nature. 396: 155-58.
Le Queré, C., et al. 2003. Two decades of ocean CO2 sink and variability. Tellus 55B: 649-656.
Lloyd, J., and G.D. Farquhar. 1994. 13C discrimination during CO2 assimilation by the terrestrial biosphere. Oecologia 99: 201-215.
Los, S.O. 1998. Linkages between global vegetation and climate: An analysis based on NOAA AVHRR data. PhD Thesis, Vrije Universiteit.
Poorter, H. 1993. Interspecific variation in the growth response of plants to an elevated CO2 concentration. Vegetatio 104/105: 77-97.
Randerson, J.T., et al. 2002. A possible global covariance between terrestrial gross primary production and 13C discrimination: Consequences for the atmospheric 13C budget and its response to ENSO. Global Biogeochemical Cycles 16(4): 1136.
Sage & Monson 1999
Scholze et al 2003.
Sims, P.L. and J.A. Bradford. 2001 Carbon dioxide fluxes in a southern plains prairie. Agric. Forest Met. 109: 117-134.
Still, C.J., J.A. Berry, G.J. Collatz, and R.S. DeFries. 2003a. The global distribution of C3 and C4 vegetation: carbon cycle implications. Glob. Biogeochem. Cycles 17(1): 1006.
Still, C.J., J.A. Berry, M. Ribas-Carbo, and B.R. Helliker. 2003b. The contribution of C3 and C4 plants to the carbon cycle of a tallgrass prairie: An isotopic approach. In press. Oecologia.
Suyker, A.E., S.B. Verma, and G.G. Burba. 2003. Interannual variability in net CO2 exchange of a native tallgrass prairie. Glob. Change Biol. 9: 255-265.
Suyker, A.E. and S.B. Verma. 2001. Year-round observations of the net ecosystem exchange of carbon dioxide in a native tallgrass prairie. Glob. Change Biol. 7: 279-289.
Tams et al 1993.
Wedin, D.A. and D. Tilman. 1996. Influence of nitrogen loading and species composition on the carbon balance of grasslands. Science 274: 1720-1723. |