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dc.contributorFacultad de Ciencias Biologicas y Ambientaleses_ES
dc.contributor.authorBlanco Lanza, Saúl 
dc.contributor.authorBorrego Ramos, María 
dc.contributor.authorOlenici, Adriana
dc.contributor.otherEcologiaes_ES
dc.date2017
dc.date.accessioned2024-03-22T07:25:47Z
dc.date.available2024-03-22T07:25:47Z
dc.identifier.citationBlanco, S., Borrego-Ramos, M., & Olenici, A. (2017). Disentangling diatom species complexes: does morphometry suffice? PeerJ– the Journal of Life & Environmental Sciences, 2017(5) Article e4159. https://doi.org/10.7717/PEERJ.4159es_ES
dc.identifier.otherhttps://peerj.com/articles/4159/es_ES
dc.identifier.urihttps://hdl.handle.net/10612/19274
dc.description.abstract[EN] Accurate taxonomic resolution in light microscopy analyses of microalgae is essential to achieve high quality, comparable results in both floristic analyses and biomonitoring studies. A number of closely related diatom taxa have been detected to date co-occurring within benthic diatom assemblages, sharing many morphological, morphometrical and ecological characteristics. In this contribution, we analysed the hypothesis that, where a large sample size (number of individuals) is available, common morphometrical parameters (valve length, width and stria density) are sufficient to achieve a correct identification to the species level. We focused on some common diatom taxa belonging to the genus Gomphonema. More than 400 valves and frustules were photographed in valve view and measured using Fiji software. Several statistical tools (mixture and discriminant analysis, k-means clustering, classification trees, etc.) were explored to test whether mere morphometry, independently of other valve features, leads to correct identifications, when compared to identifications made by experts. In view of the results obtained, morphometry-based determination in diatom taxonomy is discouragedes_ES
dc.languageenges_ES
dc.publisherPeerJes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectBiologíaes_ES
dc.subjectEcología. Medio ambientees_ES
dc.subject.otherTaxonomyes_ES
dc.subject.otherBiometryes_ES
dc.subject.otherAutomated identificationes_ES
dc.subject.otherClassificationes_ES
dc.subject.otherMultivariate statisticses_ES
dc.titleDisentangling diatom species complexes: does morphometry suffice?es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.7717/peerj.4159
dc.description.peerreviewedSIes_ES
dc.relation.projectIDInfo:eu-repo/grantAgreement/MINECO/Programa Estatal de I+D+I Orientada a los Retos de la Sociedad/CTM2014-51907-C2-R/ES/Desarrollo de métodos automáticos de identificación de diatomeas en el análisis cuantitativo y monitorización de la calidad de agua/AQUALITASes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.essn2167-8359
dc.journal.titlePeerJ – the Journal of Life & Environmental Scienceses_ES
dc.volume.number5es_ES
dc.page.initial4159es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.unesco2417.07 Algología (Ficología)es_ES
dc.subject.unesco2417.20 Taxonomía Vegetales_ES
dc.description.projectThis work was supported by the Spanish Government under the Aqualitas-retos project (grant number CTM2014-51907-C2-2-R-MINECO)es_ES


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