Show simple item record

dc.contributor.authorOstle, C
dc.contributor.authorLandschützer, P
dc.contributor.authorEdwards, M
dc.contributor.authorJohnson, M
dc.contributor.authorSchmidtko, S
dc.contributor.authorSchuster, U
dc.contributor.authorWatson, AJ
dc.contributor.authorRobinson, C
dc.date.accessioned2022-11-30T11:50:31Z
dc.date.issued2022-11-16
dc.date.updated2022-11-30T11:12:18Z
dc.description.abstractThe North Atlantic Ocean is the most intense marine sink for anthropogenic carbon dioxide (CO2) in the world’s oceans, showing high variability and substantial changes over recent decades. However, the contribution of biology to the variability and trend of this sink is poorly understood. Here we use in situ plankton measurements, alongside observation-based sea surface CO2 data from 1982 to 2020, to investigate the biological influence on the CO2 sink. Our results demonstrate that long term variability in the CO2 sink in the North Atlantic is associated with changes in phytoplankton abundance and community structure. These data show that within the subpolar regions of the North Atlantic, phytoplankton biomass is increasing, while a decrease is observed in the subtropics, which supports model predictions of climate-driven changes in productivity. These biomass trends are synchronous with increasing temperature, changes in mixing and an increasing uptake of atmospheric CO2 in the subpolar North Atlantic. Our results highlight that phytoplankton play a significant role in the variability as well as the trends of the CO2 uptake from the atmosphere over recent decades.en_GB
dc.description.sponsorshipNatural Environment Research Councilen_GB
dc.description.sponsorshipNatural Environment Research Councilen_GB
dc.description.sponsorshipMax Planck Society for the Advancement of Scienceen_GB
dc.format.extent114056-
dc.identifier.citationVol. 17, No. 11, article 114056en_GB
dc.identifier.doihttps://doi.org/10.1088/1748-9326/ac9ecf
dc.identifier.grantnumberNE/J500069/1en_GB
dc.identifier.grantnumberNE/K00168X/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/131906
dc.identifierORCID: 0000-0002-9654-8147 (Watson, Andrew J)
dc.language.isoenen_GB
dc.publisherIOP Publishingen_GB
dc.relation.urlhttp://www.socat.infoen_GB
dc.relation.urlhttp://www.cprsurvey.orgen_GB
dc.relation.urlhttp://www.esrl.noaa.gov/psd/data/gridded/data.coads.1deg.htmlen_GB
dc.relation.urlhttp://esa-oceancolour-cci.orgen_GB
dc.relation.urlhttp://www.ecmwf.int/node/18519en_GB
dc.rights© 2022 The Author(s). Published by IOP Publishing Ltd. Original Content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.en_GB
dc.subjectmultidecadalen_GB
dc.subjectbiologyen_GB
dc.subjectinfluenceen_GB
dc.subjectvariabilityen_GB
dc.subjectNorth Atlanticen_GB
dc.subjectcarbon sinken_GB
dc.subjectwarmingen_GB
dc.titleMultidecadal changes in biology influence the variability of the North Atlantic carbon sinken_GB
dc.typeArticleen_GB
dc.date.available2022-11-30T11:50:31Z
dc.identifier.issn1748-9318
exeter.article-numberARTN 114056
dc.descriptionThis is the final version. Available from IOP Publishing via the DOI in this record. en_GB
dc.descriptionData availability statement: The data that support the findings of this study are available upon reasonable request from the authors. The datasets that support the findings of this study are available through the following listed websites; the carbon observation data were obtained from the SOCAT (www.socat.info), the biological data were obtained from the CPR Survey (www.cprsurvey.org), SST data were obtained from the ICOADS (1◦ enhanced data, www.esrl. noaa.gov/psd/data/gridded/data.coads.1deg.html). The satellite derived estimate of sea surface chl-a was obtained from the OC-CCI dataset version 4.1 (esa-oceancolour-cci.org) [35]. MLD was obtained from the global ocean and sea-ice reanalysis products (ORAS5: Ocean Reanalysis System 5) prepared by the European Centre for Medium-Range Weather Forecasts (ECMWF www.ecmwf.int/node/18519) [37].en_GB
dc.identifier.eissn1748-9326
dc.identifier.journalEnvironmental Research Lettersen_GB
dc.relation.ispartofEnvironmental Research Letters, 17(11)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-10-31
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-11-16
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-11-30T11:45:34Z
refterms.versionFCDVoR
refterms.dateFOA2022-11-30T11:50:35Z
refterms.panelCen_GB
refterms.dateFirstOnline2022-11-16


Files in this item

This item appears in the following Collection(s)

Show simple item record

© 2022 The Author(s). Published by IOP Publishing Ltd. Original Content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Except where otherwise noted, this item's licence is described as © 2022 The Author(s). Published by IOP Publishing Ltd. Original Content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.