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Spatiotemporal patterns and environmental drivers of Physalia physalis strandings along mainland Portugal (northeastern Atlantic)

2026-02Artigo científico Acesso aberto
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datacite.subject.sdg14:Proteger a Vida Marinha
datacite.subject.sdg13:Ação Climática
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorCarvalho, Patrícia
dc.contributor.authorHenrique Cordeiro, Clara Maria
dc.contributor.authorPereira, Soraia
dc.contributor.authorSantos, Antonina dos
dc.date.accessioned2026-03-02T13:45:21Z
dc.date.available2026-03-02T13:45:21Z
dc.date.issued2026-02
dc.description.abstractPhysalia physalis is a cosmopolitan colonial organism frequently observed in Portuguese waters. The species has long tentacles, provided with cnidocytes, which release a strong poison when in contact with other organisms, and cause skin reactions and severe pain in humans. Events of rapid reproduction, common in these species, may have important economic and social consequences. This study explores for the first time, the relationships between long-term assessment of P. physalis strandings, using data from the GelAvista citizen science project, and environmental variables - Sea Surface Temperature (SST), wind direction and intensity, the North Atlantic Oscillation (NAO), and upwelling indices - along the Portuguese coast, using a Generalized Linear Mixed-Effects Model. Strandings of P. physalis were concentrated along the western coast and were rare in the south. More than 54 % of the records corresponded to a single individual. Sightings peaked from November through May (winter and spring), mirroring the negative correlation with SST. Wind patterns strongly influenced stranding events: winds likely pushed colonies toward the shore, while calm conditions facilitated their arrival on beaches. In March 2018, an upwelling event in the south coast combined with a series of storms likely underlay the high stranding numbers observed in the southern area, with more than 50 individuals of P. physalis per record. A positive trend in sightings over the study period suggests that P. physalis occurrences may be rising, even after accounting for wind and SST, which might be linked to climate change. Our findings underscore the value of ongoing jellyfish monitoring via citizen science platforms like GelAvista and highlight the need for expanded high-resolution environmental datasets. Moreover, this work establishes a foundation for experimental studies to elucidate the mechanisms behind P. physalis strandings. For future research, time series techniques for imputing missing values may be utilized to enhance the completeness of environmental datasets and strengthen analytical robustness in subsequent studies focused on time series analysis.eng
dc.description.sponsorshipUID/PRR/04106/2025
dc.identifier.doi10.1016/j.ecss.2025.109674
dc.identifier.issn0272-7714
dc.identifier.urihttp://hdl.handle.net/10400.1/28301
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier BV
dc.relationAlgarve Centre for Marine Sciences
dc.relationInterdisciplinary Centre of Marine and Environmental Research
dc.relationCentre for Marine and Environmental Research
dc.relationCenter for Research and Development in Mathematics and Applications
dc.relation.ispartofEstuarine, Coastal and Shelf Science
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPortuguese man o'war
dc.subjectGeneralized linear mixed-effects model
dc.subjectTemporal and spatial variability
dc.subjectTime series
dc.subjectCitizen science
dc.subjectPortugal
dc.titleSpatiotemporal patterns and environmental drivers of Physalia physalis strandings along mainland Portugal (northeastern Atlantic)eng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/04326/2020
oaire.awardNumberUIDP/04423/2020
oaire.awardNumberLA/P/0101/2020
oaire.awardNumberUID/MAT/04106/2019
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleInterdisciplinary Centre of Marine and Environmental Research
oaire.awardTitleCentre for Marine and Environmental Research
oaire.awardTitleCenter for Research and Development in Mathematics and Applications
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04423%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0101%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMAT%2F04106%2F2019/PT
oaire.citation.startPage109674
oaire.citation.titleEstuarine, Coastal and Shelf Science
oaire.citation.volume329
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameHenrique Cordeiro
person.givenNameClara Maria
person.identifier.ciencia-idC71E-21A1-E882
person.identifier.orcid0000-0002-1026-6078
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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