Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30271
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dc.contributor.authorTorres Palenzuela, Jesus Men_UK
dc.contributor.authorGonzález Vilas, Luisen_UK
dc.contributor.authorBellas, Francisco Men_UK
dc.contributor.authorGaret, Elinaen_UK
dc.contributor.authorGonzález-Fernández, Áfricaen_UK
dc.contributor.authorSpyrakos, Evangelosen_UK
dc.date.accessioned2019-10-09T00:04:35Z-
dc.date.available2019-10-09T00:04:35Z-
dc.date.issued2019-09-19en_UK
dc.identifier.other1954en_UK
dc.identifier.urihttp://hdl.handle.net/1893/30271-
dc.description.abstractThe NW coast of the Iberian Peninsula is dominated by extensive shellfish farming, which places this region as a world leader in mussel production. Harmful algal blooms in the area frequent lead to lengthy harvesting closures threatening food security. This study developed a framework for the detection of Pseudo-nitzschia blooms in the Galician rias from satellite data (MERIS full-resolution images) and identified key variables that affect their abundance and toxicity. Two events of toxin-containing Pseudo-nitzschia were detected (up to 2.5 μg L−1 pDA) in the area. This study suggests that even moderate densities of Pseudo-nitzschia in this area might indicate high toxin content. Empirical models for particulate domoic acid (pDA) were developed based on MERIS FR data. The resulting remote-sensing model, including MERIS bands centered around 510, 560, and 620 nm explain 73% of the pDA variance (R2 = 0.73, p < 0.001). The results show that higher salinity values and lower Si(OH)4/N ratios favour higher Pseudo-nitzschia spp. abundances. High pDA values seem to be associated with relatively high PO43, low NO3− concentrations, and low Si(OH)4/N. While MERIS FR data and regionally specific algorithms can be useful for detecting Pseudo-nitzschia blooms, nutrient relationships are crucial for predicting the toxicity of these blooms.en_UK
dc.language.isoenen_UK
dc.publisherMDPI AGen_UK
dc.relationTorres Palenzuela JM, González Vilas L, Bellas FM, Garet E, González-Fernández Á & Spyrakos E (2019) Pseudo-nitzschia Blooms in a Coastal Upwelling System: Remote Sensing Detection, Toxicity and Environmental Variables. Water, 11 (9), Art. No.: 1954. https://doi.org/10.3390/w11091954en_UK
dc.rightsThis is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly citeden_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectPseudo-nitzschiaen_UK
dc.subjectdomoic aciden_UK
dc.subjectMERIS algorithmsen_UK
dc.subjectupwellingen_UK
dc.subjectGalician riasen_UK
dc.titlePseudo-nitzschia Blooms in a Coastal Upwelling System: Remote Sensing Detection, Toxicity and Environmental Variablesen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.3390/w11091954en_UK
dc.citation.jtitleWateren_UK
dc.citation.issn2073-4441en_UK
dc.citation.volume11en_UK
dc.citation.issue9en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderEuropean Commissionen_UK
dc.contributor.funderH2020 Marie Skłodowska-Curie Actionsen_UK
dc.citation.date19/09/2019en_UK
dc.contributor.affiliationUniversity of Vigoen_UK
dc.contributor.affiliationUniversity of Vigoen_UK
dc.contributor.affiliationUniversity of Vigoen_UK
dc.contributor.affiliationUniversity of Vigoen_UK
dc.contributor.affiliationUniversity of Vigoen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.identifier.scopusid2-s2.0-85072572363en_UK
dc.identifier.wtid1450551en_UK
dc.contributor.orcid0000-0002-9226-4825en_UK
dc.date.accepted2019-09-16en_UK
dc.description.refREF Compliant by Deposit in Stirling's Repositoryen_UK
dc.date.filedepositdate2019-10-08en_UK
dc.relation.funderprojectCommercial service platform for user-relevant coastal water monitoring services based on Earth observationen_UK
dc.relation.funderref776348en_UK
Appears in Collections:Biological and Environmental Sciences Journal Articles

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