Publicação
Unravelling environmental drivers and patterns of Portuguese man o' war (Physalia physalis) blooms in two ocean regions: North Atlantic and the Southeast Pacific
| datacite.subject.sdg | 14:Proteger a Vida Marinha | |
| datacite.subject.sdg | 13:Ação Climática | |
| datacite.subject.sdg | 03:Saúde de Qualidade | |
| dc.contributor.author | Martins, Lara Colaço | |
| dc.contributor.author | Gomes-Pereira, José Nuno | |
| dc.contributor.author | Dionísio, Gisela | |
| dc.contributor.author | Assis, Jorge | |
| dc.date.accessioned | 2026-03-11T11:46:16Z | |
| dc.date.available | 2026-03-11T11:46:16Z | |
| dc.date.issued | 2024-12 | |
| dc.description.abstract | Jellyfish blooms can significantly impact marine food webs, biochemical processes and human health, disrupting various economic sectors, including fisheries, aquaculture and tourism. Thus, understanding the regional drivers and patterns of jellyfish occurrence is key for developing effective management strategies. The Portuguese man o’ war (Physalia physalis) is a hazardous, cosmopolitan siphonophore of particular concern, requiring a deeper ecological understanding to effectively guide mitigation efforts. Our study reveals that the occurrence of P. physalis in both the North Atlantic (Azores, Portugal) and the Southeast Pacific (Australian East Coast) is driven by region-specific wind patterns and increased primary productivity (>30 % model contribution), with warming conditions emerging as an additional occurrence driver on the Australian East Coast (~20 % model contribution). These insights resulted from machine learning models (Boosted Regression Trees) trained with high-resolution environmental data against field data describing the temporal variability of P. physalis occurrence (North Atlantic: 2008–2021; Southeast Pacific: 2016–2020). The models achieved excellent predictive performance (AUC North Atlantic: 1.00; AUC Southeast Pacific: 0.92) and allowed hindcasting occurrences over 30 years, uncovering contrasting trends between the two regions, with decadal fluctuations in the Azores and a significant increase in occurrence over time on the Australian East Coast. Overall, we provide a better understanding of the drivers and patterns of P. physalis occurrence, which can support the development of coastal management strategies. Importantly, the anticipated changes in productivity and temperature conditions in both regions may result in increased blooms in the years to come, further exerting impacts on the ecosystems, human health, and the economy. | eng |
| dc.identifier.doi | 10.1016/j.marpolbul.2024.117278 | |
| dc.identifier.issn | 0025-326X | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/28402 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Elsevier | |
| dc.relation | Algarve Centre for Marine Sciences | |
| dc.relation | Marine and Environmental Sciences Centre | |
| dc.relation | Centre for Marine and Environmental Research | |
| dc.relation | Aquatic Research Infrastructure Network | |
| dc.relation | Climate-informed prioritization of marine biodiversity hotspots to support the implementation of the post-2020 biodiversity framework | |
| dc.relation.ispartof | Marine Pollution Bulletin | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Jellyfish blooms | |
| dc.subject | Physalia physalis | |
| dc.subject | Predictive modeling | |
| dc.subject | Timeseries | |
| dc.subject | Global warming | |
| dc.subject | Atlantic Ocean Pacific Ocean | |
| dc.title | Unravelling environmental drivers and patterns of Portuguese man o' war (Physalia physalis) blooms in two ocean regions: North Atlantic and the Southeast Pacific | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UIDP/04326/2020 | |
| oaire.awardNumber | UIDB/04292/2020 | |
| oaire.awardNumber | LA/P/0101/2020 | |
| oaire.awardNumber | LA/P/0069/2020 | |
| oaire.awardNumber | 2022.00861.CEECIND/CP1729/CT0003 | |
| oaire.awardTitle | Algarve Centre for Marine Sciences | |
| oaire.awardTitle | Marine and Environmental Sciences Centre | |
| oaire.awardTitle | Centre for Marine and Environmental Research | |
| oaire.awardTitle | Aquatic Research Infrastructure Network | |
| oaire.awardTitle | Climate-informed prioritization of marine biodiversity hotspots to support the implementation of the post-2020 biodiversity framework | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04326%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04292%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0101%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0069%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/CEEC IND5ed/2022.00861.CEECIND%2FCP1729%2FCT0003/PT | |
| oaire.citation.startPage | 117278 | |
| oaire.citation.title | Marine Pollution Bulletin | |
| oaire.citation.volume | 209 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | CEEC IND5ed | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Assis | |
| person.givenName | Jorge | |
| person.identifier.ciencia-id | 5C1D-05B6-29F7 | |
| person.identifier.orcid | 0000-0002-6624-4820 | |
| person.identifier.rid | G-9688-2012 | |
| person.identifier.scopus-author-id | 53463298700 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
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