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Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO

2021-05-24Artigo científico Acesso aberto
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datacite.subject.fosCiências Sociais::Geografia Económica e Social
datacite.subject.fosCiências Naturais::Ciências da Terra e do Ambiente
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg12:Produção e Consumo Sustentáveis
datacite.subject.sdg13:Ação Climática
datacite.subject.sdg14:Proteger a Vida Marinha
dc.contributor.authorGonzález-Narváez, Mariela
dc.contributor.authorFernández-Gómez, María José
dc.contributor.authorMendes, Susana
dc.contributor.authorMolina, José-Luis
dc.contributor.authorRuiz-Barzola, Omar
dc.contributor.authorGalindo-Villardón, Purificación
dc.date.accessioned2026-03-02T17:25:01Z
dc.date.available2026-03-02T17:25:01Z
dc.date.issued2021-05-24
dc.description.abstractThe study of biotic and abiotic factors and their interrelationships is essential in the preservation of sustainable marine ecosystems and for understanding the impact that climate change can have on different species. For instance, phytoplankton are extremely vulnerable to environmental changes and thus studying the factors involved is important for the species’ conservation. This work examines the relationship between phytoplankton and environmental parameters of the eastern equatorial Pacific, known as one of the most biologically rich regions in the world. For this purpose, a new multivariate method called MixSTATICO has been developed, allowing mixed-type data structured in two different groups (environment and species) to be related and measured on a space–time scale. The results obtained show how seasons have an impact on species–environment relations, with the most significant association occurring in November and the weakest during the month of May (change of season). The species Lauderia borealis, Chaetoceros didymus and Gyrodinium sp. were not observed in the coastal profiles during the dry season at most stations, while during the rainy season, the species Dactyliosolen antarcticus, Proboscia alata and Skeletonema costatum were not detected. Using MixSTATICO, species vulnerable to specific geographical locations and environmental variations were identified, making it possible to establish biological indicators for this region.eng
dc.description.sponsorshipWe acknowledge the invaluable collaboration of INOCAR (Oceanographic Institute of the Navy, Ecuador), CPFG-EM Edwin Pinto Uscocovich, and Gladys Torres, who have provided us with oceanographic data from a project that studied El Niño under the regional project framework El Niño-ERFEN-ECUADOR. We have no business and/or financial interest in the project; we have disclosed our interests fully and have in place an approved plan for managing any potential conflicts arising from this arrangement.
dc.identifier.citationGonzález-Narváez, M.; Fernández-Gómez, M.J.; Mendes, S.; Molina, J.-L.; Ruiz-Barzola, O.; Galindo-Villardón, P. Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO. Sustainability 2021, 13, 5924. https://doi.org/10.3390/su13115924.
dc.identifier.doi10.3390/su13115924
dc.identifier.eissn2071-1050
dc.identifier.urihttp://hdl.handle.net/10400.8/15761
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relation.hasversionhttps://www.mdpi.com/2071-1050/13/11/5924
dc.relation.ispartofSustainability
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMixSTATICO
dc.subjectmixed data
dc.subjectmulti-way
dc.subjectspecies–environment
dc.subjectsustainability
dc.titleStudy of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICOeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage25
oaire.citation.issue11
oaire.citation.startPage1
oaire.citation.titleSustainability
oaire.citation.volume13
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMendes
person.givenNameSusana
person.identifier322266
person.identifier.ciencia-id4514-12E2-1FD9
person.identifier.orcid0000-0001-9681-3169
person.identifier.scopus-author-id33568138000
relation.isAuthorOfPublicationdb5be03b-2077-482b-a9cf-8b3e84861276
relation.isAuthorOfPublication.latestForDiscoverydb5be03b-2077-482b-a9cf-8b3e84861276

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The study of biotic and abiotic factors and their interrelationships is essential in the preservation of sustainable marine ecosystems and for understanding the impact that climate change can have on different species. For instance, phytoplankton are extremely vulnerable to environmental changes and thus studying the factors involved is important for the species’ conservation. This work examines the relationship between phytoplankton and environmental parameters of the eastern equatorial Pacific, known as one of the most biologically rich regions in the world. For this purpose, a new multivariate method called MixSTATICO has been developed, allowing mixed-type data structured in two different groups (environment and species) to be related and measured on a space–time scale. The results obtained show how seasons have an impact on species–environment relations, with the most significant association occurring in November and the weakest during the month of May (change of season). The species Lauderia borealis, Chaetoceros didymus and Gyrodinium sp. were not observed in the coastal profiles during the dry season at most stations, while during the rainy season, the species Dactyliosolen antarcticus, Proboscia alata and Skeletonema costatum were not detected. Using MixSTATICO, species vulnerable to specific geographical locations and environmental variations were identified, making it possible to establish biological indicators for this region.
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