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

cris.virtual.author-orcid0000-0002-5793-0896
cris.virtual.author-orcid0000-0002-9483-6030
cris.virtualsource.author-orcide442bd30-6177-4127-ac53-a18189b68a89
cris.virtualsource.author-orcidc92892ec-77a3-4bed-a440-604f3a065788
cris.virtualsource.author-orcid633131bd-0948-4179-b4ea-d071666e9893
cris.virtualsource.author-orcid4eb8fa78-3b0a-46dc-b113-d977c12bf258
datacite.rightsopen.access
dc.contributor.authorJeltsch-Thömmes, Aurich Tuure Don
dc.contributor.authorBattaglia, Gianna
dc.contributor.authorCartapanis, Olivier
dc.contributor.authorJaccard, Samuel
dc.contributor.authorJoos, Fortunat
dc.date.accessioned2024-10-28T17:40:53Z
dc.date.available2024-10-28T17:40:53Z
dc.date.issued2019
dc.description.abstractPast 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.
dc.description.numberOfPages31
dc.description.sponsorshipPhysikalisches Institut, Klima- und Umweltphysik (KUP)
dc.description.sponsorshipInstitut für Geologie
dc.identifier.doi10.7892/boris.135332
dc.identifier.publisherDOI10.5194/cp-15-849-2019
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/183499
dc.language.isoen
dc.publisherCopernicus Publications
dc.relation.ispartofClimate of the past
dc.relation.issn1814-9324
dc.relation.organizationDCD5A442BF29E17DE0405C82790C4DE2
dc.relation.organizationDCD5A442C08FE17DE0405C82790C4DE2
dc.relation.organizationDCD5A442C18FE17DE0405C82790C4DE2
dc.relation.organizationDCD5A442C44AE17DE0405C82790C4DE2
dc.subject.ddc500 - Science::550 - Earth sciences & geology
dc.subject.ddc500 - Science::530 - Physics
dc.titleLow terrestrial carbon storage at the Last Glacial Maximum: constraints from multi-proxy data
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.endPage879
oaire.citation.issue2
oaire.citation.startPage849
oaire.citation.volume15
oairecerif.author.affiliationPhysikalisches Institut, Klima- und Umweltphysik (KUP)
oairecerif.author.affiliationPhysikalisches Institut, Klima- und Umweltphysik (KUP)
oairecerif.author.affiliationInstitut für Geologie
oairecerif.author.affiliationPhysikalisches Institut, Klima- und Umweltphysik (KUP)
oairecerif.author.affiliation2Oeschger Centre for Climate Change Research (OCCR)
oairecerif.author.affiliation2Oeschger Centre for Climate Change Research (OCCR)
oairecerif.author.affiliation3Physikalisches Institut
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unibe.date.licenseChanged2019-11-25 10:14:23
unibe.description.ispublishedpub
unibe.eprints.legacyId135332
unibe.journal.abbrevTitleCLIM PAST
unibe.refereedtrue
unibe.subtype.articlejournal

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