1. Review of carbon isotopic fractionation in
Emiliania huxleyi under high pCO2
Can alkenones be used as a paleobarometer?
Sollberger, S. (2009)
Chemical Oceanographic Unit
University of Liege
3. Background Experimental framework Calculation methods Results Discussion & Outlook References
Carbon isotopic fractionation
Since 1968...
Use of carbon isotopic fractionation
Sediment tracer - alkenones
3 / 17
4. Background Experimental framework Calculation methods Results Discussion & Outlook References
Carbon isotopic fractionation
Since 1968...
Correlation between [CO2(aq)] and p in marine phytoplankton
(Degens et al., 1968)
Use of carbon isotopic fractionation
Sediment tracer - alkenones
3 / 17
5. Background Experimental framework Calculation methods Results Discussion & Outlook References
Carbon isotopic fractionation
Since 1968...
Correlation between [CO2(aq)] and p in marine phytoplankton
(Degens et al., 1968)
Use of carbon isotopic fractionation
Reconstruction of paleo-CO2 (Rau et al., 1989, 1991;
Freeman and Hayes, 1992; Jasper et al., 1994)
Sediment tracer - alkenones
3 / 17
6. Background Experimental framework Calculation methods Results Discussion & Outlook References
Carbon isotopic fractionation
Since 1968...
Correlation between [CO2(aq)] and p in marine phytoplankton
(Degens et al., 1968)
Use of carbon isotopic fractionation
Reconstruction of paleo-CO2 (Rau et al., 1989, 1991;
Freeman and Hayes, 1992; Jasper et al., 1994)
BIAIS: species-specific CIF, irradiance, growth rate, physical
isolation (e.g. sea ice) etc.
Sediment tracer - alkenones
3 / 17
7. Background Experimental framework Calculation methods Results Discussion & Outlook References
Carbon isotopic fractionation
Since 1968...
Correlation between [CO2(aq)] and p in marine phytoplankton
(Degens et al., 1968)
Use of carbon isotopic fractionation
Reconstruction of paleo-CO2 (Rau et al., 1989, 1991;
Freeman and Hayes, 1992; Jasper et al., 1994)
BIAIS: species-specific CIF, irradiance, growth rate, physical
isolation (e.g. sea ice) etc.
Sediment tracer - alkenones
Specific to Haptophyta E. huxleyi (Riebesell et al., 2000; Rost
et al., 2002; Benthien et al., 2007)
3 / 17
8. Background Experimental framework Calculation methods Results Discussion & Outlook References
Alkenones
Unsaturated ketones with unique structure
Organic molecules uniquely traceable to specific organisms
→ biomarkers
5-10 % of total cellular carbon
Resistant to diagenesis (up to 100 Myrs.)
Cellular energy storage (excess photosynthate)? Remains
under debate
Visualized by gas chromatography
37-39 carbon atoms with 2 or 3 double bonds (unsaturation)
e.g. C37:2 or C37:3
If T ↑ → then ↓ of multiple bonds
4 / 17
9. Background Experimental framework Calculation methods Results Discussion & Outlook References
Alkenones
Unsaturated ketones with unique structure
Organic molecules uniquely traceable to specific organisms
→ biomarkers
5-10 % of total cellular carbon
Resistant to diagenesis (up to 100 Myrs.)
Cellular energy storage (excess photosynthate)? Remains
under debate
Visualized by gas chromatography
37-39 carbon atoms with 2 or 3 double bonds (unsaturation)
e.g. C37:2 or C37:3
If T ↑ → then ↓ of multiple bonds
4 / 17
10. Background Experimental framework Calculation methods Results Discussion & Outlook References
Alkenones
Unsaturated ketones with unique structure
Organic molecules uniquely traceable to specific organisms
→ biomarkers
5-10 % of total cellular carbon
Resistant to diagenesis (up to 100 Myrs.)
Cellular energy storage (excess photosynthate)? Remains
under debate
Visualized by gas chromatography
37-39 carbon atoms with 2 or 3 double bonds (unsaturation)
e.g. C37:2 or C37:3
If T ↑ → then ↓ of multiple bonds
4 / 17
11. Background Experimental framework Calculation methods Results Discussion & Outlook References
Alkenones
Unsaturated ketones with unique structure
Organic molecules uniquely traceable to specific organisms
→ biomarkers
5-10 % of total cellular carbon
Resistant to diagenesis (up to 100 Myrs.)
Cellular energy storage (excess photosynthate)? Remains
under debate
Visualized by gas chromatography
37-39 carbon atoms with 2 or 3 double bonds (unsaturation)
e.g. C37:2 or C37:3
If T ↑ → then ↓ of multiple bonds
4 / 17
12. Background Experimental framework Calculation methods Results Discussion & Outlook References
Alkenones
Unsaturated ketones with unique structure
Organic molecules uniquely traceable to specific organisms
→ biomarkers
5-10 % of total cellular carbon
Resistant to diagenesis (up to 100 Myrs.)
Cellular energy storage (excess photosynthate)? Remains
under debate
Visualized by gas chromatography
37-39 carbon atoms with 2 or 3 double bonds (unsaturation)
e.g. C37:2 or C37:3
If T ↑ → then ↓ of multiple bonds
4 / 17
13. Background Experimental framework Calculation methods Results Discussion & Outlook References
Alkenones
Unsaturated ketones with unique structure
Organic molecules uniquely traceable to specific organisms
→ biomarkers
5-10 % of total cellular carbon
Resistant to diagenesis (up to 100 Myrs.)
Cellular energy storage (excess photosynthate)? Remains
under debate
Visualized by gas chromatography
37-39 carbon atoms with 2 or 3 double bonds (unsaturation)
e.g. C37:2 or C37:3
If T ↑ → then ↓ of multiple bonds
4 / 17
14. Background Experimental framework Calculation methods Results Discussion & Outlook References
Alkenones
Unsaturated ketones with unique structure
Organic molecules uniquely traceable to specific organisms
→ biomarkers
5-10 % of total cellular carbon
Resistant to diagenesis (up to 100 Myrs.)
Cellular energy storage (excess photosynthate)? Remains
under debate
Visualized by gas chromatography
37-39 carbon atoms with 2 or 3 double bonds (unsaturation)
e.g. C37:2 or C37:3
If T ↑ → then ↓ of multiple bonds
4 / 17
15. Background Experimental framework Calculation methods Results Discussion & Outlook References
Alkenones
Unsaturated ketones with unique structure
Organic molecules uniquely traceable to specific organisms
→ biomarkers
5-10 % of total cellular carbon
Resistant to diagenesis (up to 100 Myrs.)
Cellular energy storage (excess photosynthate)? Remains
under debate
Visualized by gas chromatography
37-39 carbon atoms with 2 or 3 double bonds (unsaturation)
e.g. C37:2 or C37:3
If T ↑ → then ↓ of multiple bonds
4 / 17
16. Background Experimental framework Calculation methods Results Discussion & Outlook References
Alkenones
Unsaturated ketones with unique structure
Organic molecules uniquely traceable to specific organisms
→ biomarkers
5-10 % of total cellular carbon
Resistant to diagenesis (up to 100 Myrs.)
Cellular energy storage (excess photosynthate)? Remains
under debate
Visualized by gas chromatography
37-39 carbon atoms with 2 or 3 double bonds (unsaturation)
e.g. C37:2 or C37:3
If T ↑ → then ↓ of multiple bonds
4 / 17
17. Background Experimental framework Calculation methods Results Discussion & Outlook References
Emiliania huxleyi
Main characteristics
Large bloom former
Major actor in the oceanic carbon export
Calcifying organism
(a) serc.carleton.edu (b) www.co2.ulg.ac.be/peace
5 / 17
18. Background Experimental framework Calculation methods Results Discussion & Outlook References
Batch cultures
Table 1
Set of the different parameters tested on carbon isotopic fractionation and
complementary information
Riebesell et al. (2000) Rost et al. (2002)
Methods HCl, NaOH, NaHCO3 HCl, NaOH
[CO2] (µmol l-1
) 1.1 → 53.5 5 → 34
PFD (µmol m-2
s-1
) 150 15, 30, 80, 150
Light:Dark cycle 16:8 16:8, 24:0
Experimental run 2 2
Analyzer GC-IRMS IRMS
Characteristics
Addition of NaOH & HCl in order to modify [CO2]
→ changes in TA while DIC remains constant (1st
run)
Addition of NaHCO3 in order to modify [CO2]
→ changes in both TA and DIC (2nd
run)
Modern ocean concentration range: 8 − 25µmol l-1
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19. Background Experimental framework Calculation methods Results Discussion & Outlook References
A mesocosm bloom experiment
Nine 11 m3 confined water environments (Bergen, 2001)
Future conditions (meso. no 1,2,3)
pCO2 fixed to ∼ 710 µatm
Present conditions (meso. no 4,5,6)
pCO2 fixed to ∼ 410 µatm
Glacial conditions (meso. no 7,8,9)
pCO2 fixed to ∼ 190 µatm
7 / 17
20. Background Experimental framework Calculation methods Results Discussion & Outlook References
A mesocosm bloom experiment
Nine 11 m3 confined water environments (Bergen, 2001)
Future conditions (meso. no 1,2,3)
pCO2 fixed to ∼ 710 µatm
Present conditions (meso. no 4,5,6)
pCO2 fixed to ∼ 410 µatm
Glacial conditions (meso. no 7,8,9)
pCO2 fixed to ∼ 190 µatm
7 / 17
21. Background Experimental framework Calculation methods Results Discussion & Outlook References
A mesocosm bloom experiment
Nine 11 m3 confined water environments (Bergen, 2001)
Future conditions (meso. no 1,2,3)
pCO2 fixed to ∼ 710 µatm
Present conditions (meso. no 4,5,6)
pCO2 fixed to ∼ 410 µatm
Glacial conditions (meso. no 7,8,9)
pCO2 fixed to ∼ 190 µatm
7 / 17
22. Background Experimental framework Calculation methods Results Discussion & Outlook References
A mesocosm bloom experiment
Nine 11 m3 confined water environments (Bergen, 2001)
Future conditions (meso. no 1,2,3)
pCO2 fixed to ∼ 710 µatm
Present conditions (meso. no 4,5,6)
pCO2 fixed to ∼ 410 µatm
Glacial conditions (meso. no 7,8,9)
pCO2 fixed to ∼ 190 µatm
7 / 17
23. Background Experimental framework Calculation methods Results Discussion & Outlook References
Carbon isotopic composition
In a sample, relative to PeeDee belemnite standard (PDB)
δ13CSample =
(13C/12C)Sample
(13C/12C)PDB
− 1 × 1000
In CO2
δ13CCO2 = δ13CDIC + 23.644 − 9701.5
TK
(Rau et al., 1996)
Alkenone unsaturation index
UK,
37 = [C37:2]
[C37:2]+[C37:3] (Prahl and Wakeham, 1987)
8 / 17
24. Background Experimental framework Calculation methods Results Discussion & Outlook References
Carbon isotopic composition
In a sample, relative to PeeDee belemnite standard (PDB)
δ13CSample =
(13C/12C)Sample
(13C/12C)PDB
− 1 × 1000
In CO2
δ13CCO2 = δ13CDIC + 23.644 − 9701.5
TK
(Rau et al., 1996)
Alkenone unsaturation index
UK,
37 = [C37:2]
[C37:2]+[C37:3] (Prahl and Wakeham, 1987)
8 / 17
25. Background Experimental framework Calculation methods Results Discussion & Outlook References
Carbon isotopic composition
In a sample, relative to PeeDee belemnite standard (PDB)
δ13CSample =
(13C/12C)Sample
(13C/12C)PDB
− 1 × 1000
In CO2
δ13CCO2 = δ13CDIC + 23.644 − 9701.5
TK
(Rau et al., 1996)
Alkenone unsaturation index
UK,
37 = [C37:2]
[C37:2]+[C37:3] (Prahl and Wakeham, 1987)
8 / 17
26. Background Experimental framework Calculation methods Results Discussion & Outlook References
Carbon isotopic composition
In a sample, relative to PeeDee belemnite standard (PDB)
δ13CSample =
(13C/12C)Sample
(13C/12C)PDB
− 1 × 1000
In CO2
δ13CCO2 = δ13CDIC + 23.644 − 9701.5
TK
(Rau et al., 1996)
Alkenone unsaturation index
UK,
37 = [C37:2]
[C37:2]+[C37:3] (Prahl and Wakeham, 1987)
8 / 17
27. Background Experimental framework Calculation methods Results Discussion & Outlook References
Isotopic fractionation
In POC
POC =
δ13CCO2aq
+1000
δ13CPOC +1000
− 1 × 1000
(Freeman and Hayes, 1992)
In alkenones
Alk =
δ13CCO2aq
+1000
δ13C37:X +1000
− 1 × 1000
(Freeman and Hayes, 1992)
9 / 17
28. Background Experimental framework Calculation methods Results Discussion & Outlook References
Isotopic fractionation
In POC
POC =
δ13CCO2aq
+1000
δ13CPOC +1000
− 1 × 1000
(Freeman and Hayes, 1992)
In alkenones
Alk =
δ13CCO2aq
+1000
δ13C37:X +1000
− 1 × 1000
(Freeman and Hayes, 1992)
9 / 17
29. Background Experimental framework Calculation methods Results Discussion & Outlook References
Isotopic fractionation
In POC
POC =
δ13CCO2aq
+1000
δ13CPOC +1000
− 1 × 1000
(Freeman and Hayes, 1992)
In alkenones
Alk =
δ13CCO2aq
+1000
δ13C37:X +1000
− 1 × 1000
(Freeman and Hayes, 1992)
9 / 17
30. Background Experimental framework Calculation methods Results Discussion & Outlook References
Batch cultures (Riebesell et al., 2000)
Table 2
A few results from Riebesell et al. (2000): response of the growth rate, the C:N
ratio and the alkenones content per cell under increasing [CO2]
Run Growth rate C:N Alk
1st
⇑ ⇑ ⇑
2nd
⇓ ⇓ ⇑
Discussion
Differences between the runs are not clear → experimental context??
Increase in alkenones is less significant when normalized to POC
Small effect of ∆ [CO2] on alkenones and Uk
37
is affected rather by POC than by ∆ [CO2]
10 / 17
31. Background Experimental framework Calculation methods Results Discussion & Outlook References
Batch cultures (Rost et al., 2002)
Table 3
A few results from Rost et al. (2002): response of the growth rate, POC and
PIC under increasing [CO2]
Run Growth rate POC PIC
1st
⇑ ⇑ ⇓
2nd
⇑ ⇑ ⇓
Discussion
Stronger effect of light on growth rate
→ independence of µ to [CO2]
PIC is enhanced under increasing light
P is largely independent of the ambient [CO2] (∆ less than 2 ‰)
Discrimination of 13
C is higher under high irradiance
Values of at 16:8 cycle are lower than at continuous light
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32. Background Experimental framework Calculation methods Results Discussion & Outlook References
Mesocosms (Benthien et al., 2007)
Results
No notable effect of CO2
Differences in δ13CPOC → differences in δ13CCO2 at d0
↓ δ13CPOC in present & future conditions
↓ POC during POC ↑ in present & past conditions
Cellular alkenones concentration remains cst during
exponential growth but ↑ when nutrient are exhausted
Isotopic offset between treatments due to differences in
δ13CCO2aq or δ13CDIC
Discussion
Variability between treatments must be < variability between
one triplicate
PEP and TEP are enriched in 13C
12 / 17
33. Background Experimental framework Calculation methods Results Discussion & Outlook References
Mesocosms (Benthien et al., 2007)
Results
No notable effect of CO2
Differences in δ13CPOC → differences in δ13CCO2 at d0
↓ δ13CPOC in present & future conditions
↓ POC during POC ↑ in present & past conditions
Cellular alkenones concentration remains cst during
exponential growth but ↑ when nutrient are exhausted
Isotopic offset between treatments due to differences in
δ13CCO2aq or δ13CDIC
Discussion
Variability between treatments must be < variability between
one triplicate
PEP and TEP are enriched in 13C
12 / 17
34. Background Experimental framework Calculation methods Results Discussion & Outlook References
Environmental influences
Table 3
Review of the major factors influencing alkenones unsaturation and
POC within the actors
Authors [CO2] Growth rate PFD Other
Deuser et al. (1968)
√
Popp et al. (1998)
√
Burkhardt et al. (1999)
√
Riebesell et al. (2000)
√ √
Rost et al. (2002)
√ √
Benthien et al. (2007)
√
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35. Background Experimental framework Calculation methods Results Discussion & Outlook References
Discussion & Outlook
Experiments
Use of alkenones as a paleobarometer can only be applied as a
first approximation since the response is not proved in modern
seawater [CO2]
Effect of light intensity and irradiance cycle as strong or
stronger than the effect of [CO2]. Need extensive knowledge
of environmental conditions determining phytoplankton
growth
Varying nutrient conditions influence the CO2 signal
Improvements
Different experimental approaches lead to variations of the
magnitude of the results
No adaptation of E. huxleyi to increasing pCO2 during the
experiments
14 / 17
36. Background Experimental framework Calculation methods Results Discussion & Outlook References
Literature cited I
Benthien, A., Zondervan, I., Engel, A., Hefter, J., Terbr´’uggen, A., and
Riebesell, U. (2007). Carbon isotopic fractionation during a mesocosm
bloom experiment dominated by Emiliania huxleyi: Effects of CO2
concentration and primary production. Geochim. et Cosmochim. Acta,
71:1528–1541.
Burkhardt, S., Riebesell, U., and Zondervan, I. (1999). Effects of growth rate,
CO2 concentration and cell size on the stable isotope fractionation in marine
phytoplankton. Geochim. et Cosmochim. Acta, 63:3729–3741.
Degens, E. T., Guillard, R. R. L., Sackett, W. M., and Hellebust, J. A. (1968).
Metabolic fractionation of carbon isotopes in marine plankton. i.
temperature and respiration experiments. Deep-Sea Res., 15:1–9.
Deuser, W. G., Degens, E. T., and Guillard, R. R. L. (1968). Carbon isotope
relationships between plankton and sea water. Geochim. Cosmochim. Acta,
32:657–660.
Freeman, K. H. and Hayes, J. M. (1992). Fractionation of carbon isotopes by
phytoplankton and estimates of ancient CO2 levels. Global Biogeochem.
Cycles, 6:185–198.
15 / 17
37. Background Experimental framework Calculation methods Results Discussion & Outlook References
Literature cited II
Jasper, J. P., Hayes, J. M., Mix, A. C., and Prahl, F. G. (1994).
Photosynthetic fractionation of 13
c and concentrations of dissolved CO2 in
the central equatorial pacific during the last 255,000 years.
Paleoceanography, 9:781–798.
Popp, B. N., Laws, E. A., Bidigare, R. R., Dore, J. E., Hanson, K. L., and
Wakeham, S. G. (1998). Effect of phytoplankton cell geometry on carbon
isotopic fractionation. Geochim. Cosmochim. Acta, 62:69–77.
Prahl, F. G. and Wakeham, S. G. (1987). Calibration of unsaturation patterns
in long-chain ketone compositions for paleotemperature assessment. Nature,
330:367–369.
Rau, G. H., Froelich, P. N., Takahashi, T., and Des Marais, D. J. (1991). Does
sedimentary organic δ13
c record variations in quarternary ocean [CO2(aq)]?
Paleoceanography, 6:335–347.
Rau, G. H., Riebesell, U., and Wolf-Gladrow, D. (1996). A model of
photosynthetic 13
c fractionation by marine phytoplankton based on diffusive
molecular CO2 uptake. Mar. Ecol. Prog. Ser., 133:275–285.
16 / 17
38. Background Experimental framework Calculation methods Results Discussion & Outlook References
Literature cited III
Rau, G. H., Takahashi, T., and Des Marais, D. J. (1989). Latitudinal variations
in plankton δ13
c: Implications for CO2 and productivity in past oceans.
Nature, 341:516–518.
Riebesell, U., Revill, A. T., Holdsworth, D. G., and Volkman, J. K. (2000). The
effects of varying CO2 concentration on lipid composition and carbon
isotope fractionation in Emiliania huxleyi. Geochim. et Cosmochim. Acta,
64:4179–4192.
Rost, B., Zondervan, I., and Riebesell, U. (2002). Light-dependent carbon
isotope fractionation in the coccolithophorid Emiliania huxleyi. Limnol.
Oceanogr., 47(1):120–128.
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