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dc.contributor.authorGonzález Narváez, Mariela Alexandra
dc.contributor.authorFernández Gómez, María José 
dc.contributor.authorMendes, Susana Luisa da Custodia Machado
dc.contributor.authorMolina, José Luis
dc.contributor.authorRuiz Barzola, Omar
dc.contributor.authorGalindo Villardón, Purificación 
dc.date.accessioned2024-01-17T12:19:14Z
dc.date.available2024-01-17T12:19:14Z
dc.date.issued2021
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.urihttp://hdl.handle.net/10366/154340
dc.description.abstract[EN]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.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectMixSTATICOes_ES
dc.subjectMixed dataes_ES
dc.subjectmulti-wayes_ES
dc.subjectspecies–environmentes_ES
dc.subjectsustainabilityes_ES
dc.titleStudy of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICOes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://doi.org/10.3390/su13115924es_ES
dc.subject.unesco1209 Estadística
dc.identifier.doi10.3390/su13115924
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.essn2071-1050
dc.journal.titleSustainabilityes_ES
dc.volume.number13es_ES
dc.issue.number11es_ES
dc.page.initial5924es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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