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dc.contributor.authorGittings, JA
dc.contributor.authorRaitsos, DE
dc.contributor.authorBrewin, RJW
dc.contributor.authorHoteit, I
dc.date.accessioned2021-01-12T11:12:25Z
dc.date.issued2021-01-11
dc.description.abstractPhytoplankton phenology and size structure are key ecological indicators that influence the survival and recruitment of higher trophic levels, marine food web structure, and biogeochemical cycling. For example, the presence of larger phytoplankton cells supports food chains that ultimately contribute to fisheries resources. Monitoring these indicators can thus provide important information to help understand the response of marine ecosystems to environmental change. In this study, we apply the phytoplankton size model of Gittings et al. (2019b) to 20-years of satellite-derived ocean colour observations in the northern and central Red Sea, and investigate interannual variability in phenology metrics for large phytoplankton (>2 µm in cell diameter). Large phytoplankton consistently bloom in the winter. However, the timing of bloom initiation and termination (in autumn and spring, respectively) varies between years. In the autumn/winter of 2002/2003, we detected a phytoplankton bloom, which initiated ~8 weeks earlier and lasted ~11 weeks longer than average. The event was linked with an eddy dipole in the central Red Sea, which increased nutrient availability and enhanced the growth of large phytoplankton. The earlier timing of food availability directly impacted the recruitment success of higher trophic levels, as represented by the maximum catch of two commercially important fisheries (Sardinella spp. and Teuthida) in the following year. The results of our analysis are essential for understanding trophic linkages between phytoplankton and fisheries and for marine management strategies in the Red Sea.en_GB
dc.description.sponsorshipPlymouth Marine Laboratory (PML)en_GB
dc.description.sponsorshipEuropean Space Agencyen_GB
dc.description.sponsorshipOffice of Sponsored Research (OSR), King Abdullah University of Science and Technology (KAUST)en_GB
dc.description.sponsorshipCenter of Excellence NEOM, KAUSTen_GB
dc.identifier.citationVol. 13 (2), article 231en_GB
dc.identifier.doi10.3390/rs13020231
dc.identifier.grantnumberA0719.2.SC2en_GB
dc.identifier.grantnumberD1094.SC6en_GB
dc.identifier.grantnumberREP/1/3268-01-01en_GB
dc.identifier.urihttp://hdl.handle.net/10871/124374
dc.language.isoenen_GB
dc.publisherMDPIen_GB
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectphytoplanktonen_GB
dc.subjectsize structureen_GB
dc.subjectphenologyen_GB
dc.subjectocean colouren_GB
dc.subjectremote sensingen_GB
dc.subjectRed Seaen_GB
dc.subjectfisheriesen_GB
dc.titleLinks between Phenology of Large Phytoplankton and Fisheries in the Northern and Central Red Seaen_GB
dc.typeArticleen_GB
dc.date.available2021-01-12T11:12:25Z
dc.descriptionThis is the final version. Available on open access from MDPI via the DOI in this recorden_GB
dc.descriptionData Availability Statement: Publicly available datasets were analysed in this study.en_GB
dc.identifier.eissn2072-4292
dc.identifier.journalRemote Sensingen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2021-01-07
exeter.funder::Plymouth Marine Laboratory (PML)en_GB
exeter.funder::European Space Agencyen_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-01-11
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-01-12T11:08:59Z
refterms.versionFCDVoR
refterms.dateFOA2021-01-12T11:12:33Z
refterms.panelCen_GB


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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).