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dc.contributor.authorAiken, J
dc.contributor.authorBrewin, RJW
dc.contributor.authorDufois, F
dc.contributor.authorPolimene, L
dc.contributor.authorHardman-Mountford, NJ
dc.contributor.authorJackson, T
dc.contributor.authorLoveday, B
dc.contributor.authorHoya, SM
dc.contributor.authorDall'Olmo, G
dc.contributor.authorStephens, J
dc.contributor.authorHirata, T
dc.date.accessioned2019-08-07T11:54:53Z
dc.date.issued2016-09-15
dc.description.abstractAnthropogenically-induced global warming is expected to decrease primary productivity in the subtropical oceans by strengthening stratification of the water column and reducing the flux of nutrients from deep-waters to the sunlit surface layers. Identification of such changes is hindered by a paucity of long-term, spatially-resolved, biological time-series data at the basin scale. This paper exploits Atlantic Meridional Transect (AMT) data on physical and biogeochemical properties (1995–2014) in synergy with a wide range of remote-sensing (RS) observations from ocean colour, Sea Surface Temperature (SST), Sea Surface Salinity (SSS) and altimetry (surface currents), combined with different modelling approaches (both empirical and a coupled 1-D Ecosystem model), to produce a synthesis of the seasonal functioning of the North and South Atlantic Sub-Tropical Gyres (STGs), and assess their response to longer-term changes in climate. We explore definitive characteristics of the STGs using data of physical (SST, SSS and peripheral current systems) and biogeochemical variables (chlorophyll and nitrate), with inherent criteria (permanent thermal stratification and oligotrophy), and define the gyre boundary from a sharp gradient in these physical and biogeochemical properties. From RS data, the seasonal cycles for the period 1998–2012 show significant relationships between physical properties (SST and PAR) and gyre area. In contrast to expectations, the surface layer chlorophyll concentration from RS data (CHL) shows an upward trend for the mean values in both subtropical gyres. Furthermore, trends in physical properties (SST, PAR, gyre area) differ between the North and South STGs, suggesting the processes responsible for an upward trend in CHL may vary between gyres. There are significant anomalies in CHL and SST that are associated with El Niño events. These conclusions are drawn cautiously considering the short length of the time-series (1998–2012), emphasising the need to sustain spatially-extensive surveys such as AMT and integrate such observations with models, autonomous observations and RS data, to help address fundamental questions about how our planet is responding to climate change. A small number of dedicated AMT cruises in the keystone months of January and July would complement our understanding of seasonal cycles in the STGs.en_GB
dc.description.sponsorshipNatural Environment Research Council National Capabilityen_GB
dc.description.sponsorshipUK National Centre for Earth Observationen_GB
dc.identifier.citationVol. 158, pp. 236 - 254en_GB
dc.identifier.doi10.1016/j.pocean.2016.08.004
dc.identifier.urihttp://hdl.handle.net/10871/38276
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights(C) 2016 Elsevier Ltd. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dc.titleA synthesis of the environmental response of the North and South Atlantic Sub-Tropical Gyres during two decades of AMTen_GB
dc.typeArticleen_GB
dc.date.available2019-08-07T11:54:53Z
dc.identifier.issn0079-6611
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.en_GB
dc.identifier.journalProgress in Oceanographyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/ en_GB
dcterms.dateAccepted2016-09-15
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2016-09-15
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-08-07T11:49:20Z
refterms.versionFCDAM
refterms.dateFOA2019-08-07T11:54:58Z
refterms.panelCen_GB


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(C)  2016 Elsevier Ltd. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  
Except where otherwise noted, this item's licence is described as (C) 2016 Elsevier Ltd. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/