Assessing winter phytoplankton community composition dynamics and their response to environmental drivers in the Subarctic Northeast Pacific

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dc.contributor.authorVishnu, Perumthuruthil S.
dc.contributor.authorDel Bel Belluz, Justin
dc.contributor.authorPeña, Angelica
dc.contributor.authorHunt, Brian P.V.
dc.contributor.authorVazhova, Anna
dc.contributor.authorHussain, Midhun S.
dc.contributor.authorXi, Hongyan
dc.contributor.authorBracher, Astrid
dc.contributor.authorCosta, Maycira
dc.date.accessioned2026-03-05T17:18:54Z
dc.date.available2026-03-05T17:18:54Z
dc.date.copyright2025
dc.description.abstractThe subarctic northeast Pacific (SNEP) is a high-nutrient, low-chlorophyll region where primary productivity is limited by bioavailable iron during the spring through autumn, and by light limitation during winter. Here, we investigate the spatio-temporal distribution and drivers of SNEP surface phytoplankton biomass and community composition in the winters of 2019 and 2020 using in situ environmental data, chemotaxonomic analysis of phytoplankton pigment samples, and Sentinel-3A Ocean Land Color Instrument imagery. The utilized satellite-based algorithm showed promise replicating the expected trends of: (a) homogenous phytoplankton communities dominated by haptophytes, green algae, and pelagophytes in highly mixed light-limited oceanic waters and; (b) increased diatoms in coastal Haida Gwaii waters with reduced mixed-layer depth (MLD) and salinity. Unexpectedly, increases in cryptophytes were observed in the northern extents of the SNEP, which coincided with winter marine heatwave driven reductions in MLDs and also the presence of a mesoscale eddy. This finding highlights a deviation from expected homogeneous phytoplankton conditions, which may be systematically missed by spatially and temporally constrained in situ sampling. The further advancement and deployment of the satellite-based algorithm could significantly expand the understanding of winter phytoplankton dynamics in the SNEP, a critical period for Pacific salmon survival, improving the understanding of trophic linkages and match/mismatch dynamics, and contributing to improve the forecasting of salmon returns.
dc.description.reviewstatusReviewed
dc.description.scholarlevelFaculty
dc.description.sponsorshipThis research was funded by NSERC NCE MEOPAR-Marine Environmental Observation, Prediction, and Response Network; Canadian Space Agency (FAST 18FAVICB09) to Costa; NSERC Discovery Grant to Costa, and B. Hunt's NSERC Discovery Grant (RGPIN-2017-04499). The authors thank the International Year of Salmon for providing payment-in-kind financial support for the fieldwork. Hongyan Xi's and Astrid Bracher's contributions were funded by the Copernicus Marine Service GLOPHYTS project (21036L05B-COP-INNO SCI-9000), and Angelica Peña's contribution was funded by Fisheries and Oceans Canada.
dc.identifier.citationVishnu, P. S., Del Bel Belluz, J., Peña, M. A., Hunt, B. P. V., Vazhova, A., Hussain, M. S., Xi, H., Bracher, A., & Costa, M. (2025). Assessing winter phytoplankton community composition dynamics and their response to environmental drivers in the Subarctic Northeast Pacific. Journal of Geophysical Research Oceans, 130(6). https://doi.org/10.1029/2023jc020699
dc.identifier.urihttps://doi.org/10.1029/2023jc020699
dc.identifier.urihttps://hdl.handle.net/1828/23409
dc.language.isoen
dc.publisherJournal of Geophysical Research Oceans
dc.rightsCC BY 4.0en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectSpectral Remote Sensing Laboratory
dc.subject.departmentDepartment of Geography
dc.titleAssessing winter phytoplankton community composition dynamics and their response to environmental drivers in the Subarctic Northeast Pacific
dc.typeArticle

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