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Research Group RESPIC —

Paleoclimatic Changes in the Carbon Cycle

Here: Special Emphasis on the Terrestrial Biosphere

Peter K¨ohler and Hubertus Fischer

Alfred Wegener Institute for Polar and Marine Research, PO Box 12 01 61, 27515 Bremerhaven, Germany email: pkoehler@awi-bremerhaven.de, hufischer@awi-bremerhaven.de

Abstract

The state of the terrestrial biosphere during the Holo- cene and the Last Glacial Maximum (LGM) was esti- mated from pollen data bases and steady state simula- tions in former studies. However, the amount of carbon bound in the terrestrial stocks varied considerably. He- re, we narrow down this range of terrestrial carbon at the LGM by a transient simulation study over the last glacial cycle (125 kyr) and try to determine the amplitu- des of the possible different driving forces (temperature, atmospheric carbon dioxide partial pressure and sea le- vel). We developed a simple model of the terrestrial biosphere consisting of seven well-mixed boxes. By app- lying well defined boundary conditions of the total terre- strial carbon stock, average isotopic signature, and net primary production, the range of the terrestrial carbon at LGM can be focused to 1500–1700 PgC, equivalent to a reduction from interglacial times to the LGM of 500–700 PgC. This falls well within the range of former studies (LGM: 1100–1900 PgC) but reduces the ran- ge of uncertainty significantly. Simulation results were biased towards higher carbon stocks (+120–150 PgC) if we abstained from our transient modeling approach and analyzed steady states. This disequilibrium effect give us reasons to argue for considering the time-dependent na- ture of any driving forces, since fast temperature chan- ges in the northern hemisphere, where 2/3 of all land area is situated, did prevent the system from reaching equilibrium. However, it is so far not possible to defini- tely name the forcing strength of CO2and temperature.

Measurements ofδ13C on atmospheric carbon dioxide in Antarctic ice cores as proposed in the RESPIC project and a coupling to an ocean box model will enable our approach to disentangle both driving forces.

Targets of the research group RESPIC

Ice cores represent an unique climate archive. Within the framework of EPICA (European Project for Ice Coring in Antarctica, Fig. 1) a new highly resolved ice core in Dronning Maud Land at the Atlantic sector of Antarc- tica is drilled (depth before drilling season 2002/2003:

438.80m). Our investigations on this ice core are focu- sed on the carbon cycle. With a new method using a gas chromatography isotope ratio monitoring mass spectro- meter (GCirmMS) the isotopic signature of CO2enclosed in air bubbles within the ice will be investigated. Atmos- phericδ13CO2so far was only measured for the last 29 kyr (Smith et al. 1999) because the extraction of CO2from clathrates in deeper ice might fractionateδ13CO2and bi- as the results. Therefore, a new sublimation method has to be established in this project. Together with additional measurements on marine biogenic aerosols — potentially a proxy for productivity in the surface waters — a quan- titative interpretation of the global carbon cycle in a con- ceptual model of the ocean-atmosphere-biosphere system will be envisaged. Here, the module of the terrestrial bios- phere is analysed in a stand-alone application and from boundary conditions given in the literature the terrestrial carbon stocks at the Last Glacial Maximum (LGM) will be investigated.

Fig. 1: Research areas of the European Project for Ice Coring in Antarctica. Our study is focused on the new core drilled in Dronning Maud Land.

Modelling approach

We developed a conceptual model of the terrestrial bios- phere after the work of Emanuel et al. (1984). Additionally, a soil compartment with long turnover time (τ∼1000yr) and a distinction between C3 and C4 plants — which use different photosynthetic pathways and discriminate δ13CO2with different fractionation factors — were incor- porated (Fig. 2). Changes in the terrestrial carbon stocks from interglacial to glacial climate conditions were driven by CO2fertilization, temperature based metabolic changes in net primary production (NPP) and respiration and cli- mate induced successional changes between both ground vegetation and trees and C3and C4plants. We run our model in a transient mode from the last interglacial (125 kyr BP) to the LGM (20 kyr BP) and applied as bounda- ry conditions the current knowledge of terrestrial carbon stocks in vegetation and soil, NPP and average isotopic signatureδ13C of the terrestrial carbon for both intergla- cial and glacial times (e.g. Adams & Faure 1998, Crowley 1995, Fran¸cois et al. 1998, Prentice et al. 1993, Otto et al.

2002).

Fig. 2: Modelling concept of a coupled ocean-atmosphere-biosphere model with special emphasis on the structure of the biospheric module: C4: C4 ground vegetation; C3: C3 ground vegetation; NW: non-woody parts of trees; W: woody parts of trees; D: detritus; FS: fast decomposing soil; SS: slow decomposing soil. Arrows indicate C-fluxes.

Rock

Sediment

SEATL

SANT TEI−P SEI−P

SNPAC SNATL

TEATL

DATL DANT DI−P

0.4 2.1

1.4 17.1

4.4 17.4 8.7 0.2 3.8 0.1

1.0 2.8 1.7 0.4

9.4 28.4 23.6 5.7 2.9 2.6

2.6 20.8 9.0 3.8 10.8 16.8 23.0 4.3 0.5 0.2

5.6 7.6 17.6 18.6

0.8 C3

FS SS

NW W D C4

Biosphere

C3

FS SS

NW W D C4

Biosphere Atmosphere Atmosphere

Atlantic Indo−Pacific

Biosphere

Ant−

arctic

Our forces were driven by various data sets on sealevel change, area available for vegetation, and climate infor- mations from ice cores (Fig. 3). We proposed that glo- bally averaged atmospheric temperature change had an amplitude of∼5C from LGM to preindustrial times. We compiled all ice core archives from various cores (Taylor Dome, Vostok, GISP2) on a common time scale (GISP2) via CH4 synchronization whenever available (10–50 kyr BP).

Fig. 3: Data sets which run our driving forces. A: sealevel change (as in Cuffey

& Vimeux 2001). B: Land areaALAND ; area covered by land ice & lakesAICE (Adams & Faure 1998). C: Effective area available for vegetation. D: Atmospheric CO2 andδ13CO2concentrations. E: andδD as proxy for atmospheric tempe- rature from ice cores (GISP2, Vostok). (Ice cores: Barnola et al. 1987, Grootes

& Stuiver 1997, Inderm¨uhle et al. 2000, Petit et al. 1999, Smith et al. 1999)

-120 -100 -80 -60 -40 -20 0

sealevel[m]

A

140 145 150 155 160 165

ALAND[1012m2]

20 25 30 35 40 45

AICE[1012m2]

B

ALAND

AICE

126 128 130 132

AEFF[1012m2]

C

200 220 240 260 280

pCO2[ppmv]

D

pCO2

-7.0 -6.8 -6.6 -6.4 -6.2 -6.0

13C[permil]

13C

0 20 40 60 80 100 120

Time [kyr BP]

-46 -44 -42 -40 -38 -36 -34

GISP218O[permil]

E

GISP2

-480 -460 -440 -420 -400

VostokD[permil]

Vostok

Results

The amplitudes of the various forcings we proposed were not clear. Therefore, we performed a sensitivity analysis on all free parameters spanning 2916 different scenarios.

The boundary conditions filtered out only 97 scenarios in which the simulated biosphere would fall within our de- fined target ranges. Since 2/3 of the land area are loca- ted in the northern hemisphere the temperature signals of GISP2 (Greenland) was taken in a first approach as glo- bal signal (scenario A, Fig. 4). Latter, a mixture of GISP2 and Vostok temperature was also investigated (scenario B, C). We found, that the additional constraints on NPP and especially average isotopic signatureδ13C of the bios- phere restricted the simulated terrestrial carbon stocks at LGM to 1500–1700 PgC. The effect of different tempera- ture forcings was small. A comparison with steady state results for the climate situation at LGM highlighted a dise- quilibrium effect of the system (scenario D): Fast climate fluctuations and long turnover times of some compart- ments prevent the system from reaching equilibrium and thus steady state approaches might be systematically bia- sed.

We therefore strongly argue for transient modelling ap- proaches. Even if we allowed a large error estimate in our approach the range of terrestrial carbon at LGM was still narrowed significantly (scenario E, F). The relative influ- ence of temperature and CO2was not determined so far, but might be possible with the future data onδ13CO2

measured in this project.

Fig. 4: Results: Targets from literature. A:∆T from GISP2 only. B:∆T from 3:1 (GISP2:Vostok) mixture. C:∆T from 2:1 (GISP2:Vostok) mixture. D: Steady state simulation. E: 5% uncertainty offset. F: Some forcings not at work allowed.

Targets A B C D E F Scenario 1000

1100 1200 1300 1400 1500 1600 1700 1800 1900 2000

Carbon[PgC]

Terrestrial carbon at LGM

References

Adams, J. M. & Faure, H. 1998. Global & Planetary Change, 16-17:3–24.

Barnola, J. M. et al. 1987. Nature, 329:408–414.

Crowley, T. J. 1995. Global Biogeochemical Cycles, 9:377–389.

Cuffey, K. M. & Vimeux, F. 2001. Nature, 412:523–527.

Emanuel, W. R., et al. 1984. Ecology, 65:970–983.

Fran¸cois, L. M. et al. 1998. Global & Planetary Change, 16-17:37–52.

Grootes, P. M. & Stuiver, M. 1997. J. of Geophysical Research, 102:26455–26470.

Inderm¨uhle, A. et al. 2000. Geophysical Research Letters, 27:735–738.

Otto, D. et al. 2002. Global & Planetary Change, 33:117–138.

Petit, J. R. et al. 1999. Nature, 399:429–436.

Prentice, I. C. et al. 1993. Global Ecology & Biogeography Letters, 3:67–76.

Smith, H. J. et al. 1999. Nature, 400:248–250.

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