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dc.contributor.authorFord, D
dc.contributor.authorTilstone, GH
dc.contributor.authorShutler, JD
dc.contributor.authorKitidis, V
dc.contributor.authorLobanova, P
dc.contributor.authorSchwarz, Jill
dc.contributor.authorPoulton, AJ
dc.contributor.authorSerret, P
dc.contributor.authorLamont, T
dc.contributor.authorChuqui, M
dc.contributor.authorBarlow, R
dc.contributor.authorLozano, J
dc.contributor.authorKampel, M
dc.contributor.authorBrandini, F
dc.date.accessioned2021-08-09T10:05:10Z
dc.date.available2021-08-09T10:05:10Z
dc.date.issued2021-07
dc.identifier.issn0034-4257
dc.identifier.other112435
dc.identifier.urihttp://hdl.handle.net/10026.1/17411
dc.description.abstract

A comprehensive in situ dataset of chlorophyll a (Chl a; N = 18,001), net primary production (NPP; N = 165) and net community production (NCP; N = 95), were used to evaluate the performance of Moderate Resolution Imaging Spectroradiometer on Aqua (MODIS-A) algorithms for these parameters, in the South Atlantic Ocean, to facilitate the accurate generation of satellite NCP time series. For Chl a, five algorithms were tested using MODIS-A data, and OC3-CI performed best, which was subsequently used to compute NPP. Of three NPP algorithms tested, a Wavelength Resolved Model (WRM) was the most accurate, and was therefore used to estimate NCP with an empirical relationship between NCP with NPP and sea surface temperature (SST). A perturbation analysis was deployed to quantify the range of uncertainties introduced in satellite NCP from input parameters. The largest reductions in the uncertainty of satellite NCP came from MODIS-A derived NPP using the WRM (40%) and MODIS-A Chl a using OC3-CI (22%). The most accurate NCP algorithm, was used to generate a 16 year time series (2002 to 2018) from MODIS-A to assess climate and environmental drivers of NCP across the South Atlantic basin. Positive correlations between wind speed anomalies and NCP anomalies were observed in the central South Atlantic Gyre (SATL), and the Benguela Upwelling (BENG), indicating that autotrophic conditions may be fuelled by local wind-induced nutrient inputs to the mixed layer. Sea Level Height Anomalies (SLHA), used as an indicator of mesoscale eddies, were negatively correlated with NCP anomalies offshore of the BENG upwelling fronts into the SATL, suggesting autotrophic conditions are driven by mesoscale features. The Agulhas bank and Brazil-Malvinas confluence regions also had a strong negative correlation between SLHA and NCP anomalies, similarly indicating that NCP is forced by mesoscale eddy generation in this region. Positive correlations between SST anomalies and the Multivariate ENSO Index (MEI) in the SATL, indicated the influence of El Niño events on the South Atlantic Ocean, however the plankton community response was less clear.

dc.format.extent112435-112435
dc.languageen
dc.language.isoen
dc.publisherElsevier
dc.titleWind speed and mesoscale features drive net autotrophy in the South Atlantic Ocean
dc.typejournal-article
dc.typeJournal Article
plymouth.volume260
plymouth.publication-statusPublished
plymouth.journalRemote Sensing of Environment: an interdisciplinary journal
dc.identifier.doi10.1016/j.rse.2021.112435
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA07 Earth Systems and Environmental Sciences
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2021-04-02
dc.rights.embargodate2021-8-10
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1016/j.rse.2021.112435
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2021-07
rioxxterms.typeJournal Article/Review


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