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dc.contributor.authorVarney, RM
dc.contributor.authorChadburn, SE
dc.contributor.authorBurke, EJ
dc.contributor.authorJones, S
dc.contributor.authorWiltshire, AJ
dc.contributor.authorCox, PM
dc.date.accessioned2023-11-06T10:34:47Z
dc.date.issued2023-09-19
dc.date.updated2023-11-06T09:49:05Z
dc.description.abstractReliable estimates of soil carbon change are required to determine the carbon budgets consistent with the Paris Agreement climate targets. This study evaluates projections of soil carbon during the 21st century in Coupled Model Intercomparison Project Phase 6 (CMIP6) Earth system models (ESMs) under a range of atmospheric composition scenarios. In general, we find a reduced spread of changes in global soil carbon (ΔCs) in CMIP6 compared to the previous CMIP5 model generation. However, similar reductions were not seen in the derived contributions to ΔCs due to both increases in plant net primary productivity (NPP, named ΔCs,NPP) and reductions in the effective soil carbon turnover time (τs, named ΔCs,τ). Instead, we find a strong relationship across the CMIP6 models between these NPP and τs components of ΔCs, with more positive values of ΔCs,NPP being correlated with more negative values of ΔCs,τ. We show that the concept of “false priming” is likely to be contributing to this emergent relationship, which leads to a decrease in the effective soil carbon turnover time as a direct result of NPP increase and occurs when the rate of increase in NPP is relatively fast compared to the slower timescales of a multi-pool soil carbon model. This finding suggests that the structure of soil carbon models within ESMs in CMIP6 has likely contributed towards the reduction in the overall model spread in future soil carbon projections since CMIP5.en_GB
dc.description.sponsorshipEuropean Union’s Horizon 2020en_GB
dc.description.sponsorshipEuropean Union’s Horizon 2020en_GB
dc.format.extent3767-3790
dc.identifier.citationVol. 20 (18), pp. 3767-3790en_GB
dc.identifier.doihttps://doi.org/10.5194/bg-20-3767-2023
dc.identifier.grantnumber821003en_GB
dc.identifier.grantnumber742472en_GB
dc.identifier.urihttp://hdl.handle.net/10871/134428
dc.identifierORCID: 0000-0002-0637-0841 (Varney, Rebecca M)
dc.identifierORCID: 0000-0002-0679-2219 (Cox, Peter M)
dc.language.isoenen_GB
dc.publisherCopernicus Publications / European Geosciences Unionen_GB
dc.relation.urlhttps://esgf-node.llnl.gov/search/cmip6/en_GB
dc.relation.urlhttps://esgf-node.llnl.gov/search/cmip5/en_GB
dc.relation.urlhttps://github.com/rebeccamayvarney/CMIP6_dCsen_GB
dc.rights© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.en_GB
dc.subject13 Climate Actionen_GB
dc.titleSimulated responses of soil carbon to climate change in CMIP6 Earth system models: the role of false primingen_GB
dc.typeArticleen_GB
dc.date.available2023-11-06T10:34:47Z
dc.identifier.issn1726-4170
dc.descriptionThis is the final version. Available from Copernicus Publications / European Geosciences Union via the DOI in this record. en_GB
dc.descriptionThe CMIP data analysed during this study are available online: CMIP6 (https://esgf-node.llnl.gov/search/cmip6/, last access: 8 April 2022) and CMIP5 (https://esgf-node.llnl.gov/search/cmip5/, last access: 12 April 2022).en_GB
dc.descriptionCode is available on GitHub (https://github.com/rebeccamayvarney/CMIP6_dCs, last access: 28 July 2023).en_GB
dc.identifier.eissn1726-4189
dc.identifier.journalBiogeosciencesen_GB
dc.relation.ispartofBiogeosciences, 20(18)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-07-28
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-07-28
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-11-06T10:26:08Z
refterms.versionFCDVoR
refterms.dateFOA2023-11-06T10:34:51Z
refterms.panelBen_GB
refterms.depositExceptionpublishedGoldOA
refterms.dateFirstOnline2023-09-19


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© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
Except where otherwise noted, this item's licence is described as © Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.