Show simple item record

dc.contributor.authorVarney, RM
dc.contributor.authorChadburn, SE
dc.contributor.authorFriedlingstein, P
dc.contributor.authorBurke, EJ
dc.contributor.authorKoven, CD
dc.contributor.authorHugelius, G
dc.contributor.authorCox, PM
dc.date.accessioned2022-11-21T14:07:44Z
dc.date.issued2020-11-02
dc.date.updated2022-11-21T13:24:26Z
dc.description.abstractCarbon cycle feedbacks represent large uncertainties in climate change projections, and the response of soil carbon to climate change contributes the greatest uncertainty to this. Future changes in soil carbon depend on changes in litter and root inputs from plants and especially on reductions in the turnover time of soil carbon (τs) with warming. An approximation to the latter term for the top one metre of soil (ΔCs,τ) can be diagnosed from projections made with the CMIP6 and CMIP5 Earth System Models (ESMs), and is found to span a large range even at 2 °C of global warming (-196 ± 117 PgC). Here, we present a constraint on ΔCs,τ, which makes use of current heterotrophic respiration and the spatial variability of τs inferred from observations. This spatial emergent constraint allows us to halve the uncertainty in ΔCs,τ at 2 °C to -232 ± 52 PgC.en_GB
dc.format.extent5544-
dc.format.mediumElectronic
dc.identifier.citationVol. 11, article 5544en_GB
dc.identifier.doihttps://doi.org/10.1038/s41467-020-19208-8
dc.identifier.urihttp://hdl.handle.net/10871/131820
dc.identifierORCID: 0000-0002-0637-0841 (Varney, Rebecca M)
dc.identifierORCID: 0000-0003-3309-4739 (Friedlingstein, Pierre)
dc.identifierScopusID: 6602135031 (Friedlingstein, Pierre)
dc.identifierORCID: 0000-0002-0679-2219 (Cox, Peter M)
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/33139706en_GB
dc.relation.urlhttps://esgf-node.llnl.gov/search/CMIP5/en_GB
dc.relation.urlhttps://esgf-node.llnl.gov/search/cmip6/en_GB
dc.relation.urlhttps://rda.ucar.edu/datasets/ds314.2/en_GB
dc.relation.urlhttps://datashare.is.ed.ac.uk/handle/10283/875en_GB
dc.relation.urlhttps://lpdaac.usgs.gov/products/mod17a3v055/en_GB
dc.relation.urlhttps://cdiac.ess-dive.lbl.gov/epubs/ndp/ndp081/ndp081.htmlen_GB
dc.relation.urlhttp://cse.ffpri.affrc.go.jp/shojih/data/index.htmlen_GB
dc.relation.urlhttps://github.com/rebeccamayvarney/soiltau_ecen_GB
dc.rights© The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en_GB
dc.titleA spatial emergent constraint on the sensitivity of soil carbon turnover to global warming (article)en_GB
dc.typeArticleen_GB
dc.date.available2022-11-21T14:07:44Z
dc.identifier.issn2041-1723
exeter.article-number5544
exeter.place-of-publicationEngland
dc.descriptionThis is the final version. Available on open access from Nature Research via the DOI in this recorden_GB
dc.descriptionData availability: The datasets analysed during this study are available online: CMIP5 model output [https://esgf-node.llnl.gov/search/CMIP5/], CMIP6 model output [https://esgf-node.llnl.gov/search/cmip6/], The WFDEI Meteorological Forcing Data [https://rda.ucar.edu/datasets/ds314.2/], CARDAMOM Heterotrophic Respiration [https://datashare.is.ed.ac.uk/handle/10283/875], MODIS Net Primary Production [https://lpdaac.usgs.gov/products/mod17a3v055/], Raich et al. 2002 Soil Respiration [https://cdiac.ess-dive.lbl.gov/epubs/ndp/ndp081/ndp081.html], Hashimoto et al. 2015 Heterotrophic Respiration [http://cse.ffpri.affrc.go.jp/shojih/data/index.html], and the datasets for observational Soil Carbon [https://github.com/rebeccamayvarney/soiltau_ec].en_GB
dc.descriptionCode availability: The Python code used to complete the analysis and produce the figures in this study is available in the following online repository [https://github.com/rebeccamayvarney/soiltau_ec].en_GB
dc.identifier.eissn2041-1723
dc.identifier.journalNature Communicationsen_GB
dc.relation.ispartofNat Commun, 11(1)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-09-17
dc.rights.licenseCC BY
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-11-02
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-11-21T14:05:24Z
refterms.versionFCDVoR
refterms.dateFOA2022-11-21T14:07:45Z
refterms.panelBen_GB
refterms.dateFirstOnline2020-11-02


Files in this item

This item appears in the following Collection(s)

Show simple item record

© The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's licence is described as © The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.