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dc.contributor.authorParry, IM
dc.contributor.authorRitchie, PDL
dc.contributor.authorCox, PM
dc.date.accessioned2022-12-16T13:38:28Z
dc.date.issued2022-11-24
dc.date.updated2022-12-16T11:09:42Z
dc.description.abstractAmazon forest dieback is seen as a potential tipping point under climate change. These concerns are partly based on an early coupled climate–carbon cycle simulation that produced unusually strong drying and warming in Amazonia. In contrast, the fifth-generation Earth system models (Phase 5 of the Coupled Model Intercomparison Project, CMIP5) produced few examples of Amazon dieback under climate change. Here we examine results from seven sixth-generation models (Phase 6 of the Coupled Model Intercomparison Project, CMIP6), which include interactive vegetation carbon and in some cases interactive forest fires. Although these models typically project increases in area-mean forest carbon across Amazonia under CO2-induced climate change, five of the seven models also produce abrupt reductions in vegetation carbon, which indicate localised dieback events. The northern South America (NSA) region, which contains most of the rainforest, is especially vulnerable in the models. These dieback events, some of which are mediated by fire, are preceded by an increase in the amplitude of the seasonal cycle in near-surface temperature, which is consistent with more extreme dry seasons. Based on the ensemble mean of the detected dieback events we estimate that 7±5 % of the NSA region will experience abrupt downward shifts in vegetation carbon for every degree of global warming past 1.5 ∘C.en_GB
dc.description.sponsorshipEuropean Research Council (ERC)en_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.format.extent1667-1675
dc.identifier.citationVol. 13, pp. 1667-1675en_GB
dc.identifier.doihttps://doi.org/10.5194/esd-13-1667-2022
dc.identifier.grantnumber742472en_GB
dc.identifier.grantnumber821003en_GB
dc.identifier.urihttp://hdl.handle.net/10871/132044
dc.identifierORCID: 0000-0002-7649-2991 (Ritchie, Paul DL)
dc.identifierORCID: 0000-0002-0679-2219 (Cox, Peter M)
dc.language.isoenen_GB
dc.publisherCopernicus Publications / European Geosciences Union (EGU)en_GB
dc.relation.urlhttps://doi.org/10.22033/ESGF/CMIP6.4507en_GB
dc.relation.urlhttps://doi.org/10.22033/ESGF/CMIP6.8473en_GB
dc.relation.urlhttps://doi.org/10.22033/ESGF/CMIP6.6435en_GB
dc.relation.urlhttps://doi.org/10.22033/ESGF/CMIP6.10861en_GB
dc.relation.urlhttps://doi.org/10.22033/ESGF/CMIP6.7782en_GB
dc.relation.urlhttps://doi.org/10.22033/ESGF/CMIP6.9702en_GB
dc.relation.urlhttps://doi.org/10.22033/ESGF/CMIP6.5792en_GB
dc.relation.urlhttps://doi.org/10.5281/zenodo.7038389en_GB
dc.rights© Author(s) 2022. Open access. This work is distributed under the Creative Commons Attribution 4.0 License.en_GB
dc.titleEvidence of localised Amazon rainforest dieback in CMIP6 modelsen_GB
dc.typeArticleen_GB
dc.date.available2022-12-16T13:38:28Z
dc.identifier.issn2190-4979
dc.descriptionThis is the final version. Available on open access from th European Geosciences Union via the DOI in this recorden_GB
dc.descriptionCode and data availability: The CMIP6 model output datasets analysed during this study are available online at https://doi.org/10.22033/ESGF/CMIP6.4507 (EC-Earth Consortium, 2019), https://doi.org/10.22033/ESGF/CMIP6.8473 (Krasting et al., 2018), doi10.22033/ESGF/CMIP6.6435 (Wieners et al., 2019), https://doi.org/10.22033/ESGF/CMIP6.10861 (Bethke et al., 2019), https://doi.org/10.22033/ESGF/CMIP6.7782 (Park and Shin, 2019), https://doi.org/10.22033/ESGF/CMIP6.9702 (Lee and Liang, 2020), and https://doi.org/10.22033/ESGF/CMIP6.5792 (Tang et al., 2019). Code used for analysis is available at https://doi.org/10.5281/zenodo.7038389 (Parry et al., 2022).en_GB
dc.identifier.eissn2190-4987
dc.identifier.journalEarth System Dynamicsen_GB
dc.relation.ispartofEarth System Dynamics, 13(4)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-09-09
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-11-24
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-12-16T13:34:42Z
refterms.versionFCDVoR
refterms.dateFOA2022-12-16T13:38:31Z
refterms.panelBen_GB
refterms.dateFirstOnline2022-11-24


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© Author(s) 2022. Open access. 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) 2022. Open access. This work is distributed under the Creative Commons Attribution 4.0 License.