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Low terrestrial carbon storage at the Last Glacial Maximum: constraints from multi-proxy data

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BORIS DOI
10.7892/boris.135332
Date of Publication
2019
Publication Type
Article
Division/Institute

Physikalisches Instit...

Institut für Geologie...

Author
Jeltsch-Thömmes, Aurich Tuure Don
Physikalisches Institut, Klima- und Umweltphysik (KUP)
Battaglia, Gianna
Physikalisches Institut, Klima- und Umweltphysik (KUP)
Cartapanis, Olivier
Jaccard, Samuelorcid-logo
Institut für Geologie
Oeschger Centre for Climate Change Research (OCCR)
Joos, Fortunatorcid-logo
Physikalisches Institut, Klima- und Umweltphysik (KUP)
Oeschger Centre for Climate Change Research (OCCR)
Physikalisches Institut
Subject(s)

500 - Science::550 - ...

500 - Science::530 - ...

Series
Climate of the past
ISSN or ISBN (if monograph)
1814-9324
Publisher
Copernicus Publications
Language
English
Publisher DOI
10.5194/cp-15-849-2019
Description
Past changes in the inventory of carbon stored in vegetation and soils remain uncertain. Earlier studies inferred the increase in the land carbon inventory (Δland) between the Last Glacial Maximum (LGM) and the preindustrial period (PI) based on marine and atmospheric stable carbon isotope reconstructions, with recent estimates yielding 300–400 GtC. Surprisingly, however, earlier studies considered a mass balance for the ocean–atmosphere–land biosphere system only. Notably, these studies neglect carbon exchange with marine sediments, weathering–burial flux imbalances, and the influence of the transient deglacial reorganization on the isotopic budgets. We show this simplification to significantly reduce Δland in simulations using the Bern3D Earth System Model of Intermediate Complexity v.2.0s. We constrain Δland to ∼850 GtC (median estimate; 450 to 1250 GtC ±1SD) by using reconstructed changes in atmospheric δ13C, marine δ13C, deep Pacific carbonate ion concentration, and atmospheric CO2 as observational targets in a Monte Carlo ensemble with half a million members. It is highly unlikely that the land carbon inventory was larger at LGM than PI. Sensitivities of the target variables to changes in individual deglacial carbon cycle processes are established from transient factorial simulations with the Bern3D model. These are used in the Monte Carlo ensemble and provide forcing–response relationships for future model–model and model–data comparisons. Our study demonstrates the importance of ocean–sediment interactions and burial as well as weathering fluxes involving marine organic matter to explain deglacial change and suggests a major upward revision of earlier isotope-based estimates of Δland.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/183499
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jeltschthömmes19cp_cp-15-849-2019-1.pdftextAdobe PDF6.9 MBAttribution (CC BY 4.0)publishedOpen
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