Compositional Regression-Based Methods for SST Reconstruction
dc.contributor.author
dc.date.accessioned
2021-01-18T10:41:44Z
dc.date.available
2021-01-18T10:41:44Z
dc.date.issued
2020
dc.identifier.issn
2279-7327
dc.identifier.uri
dc.description.abstract
The information in modern or fossil foraminifera assemblages is the relative abundance or percentages of species, i.e., they can be considered as compositional data. In this study we deal with CoDa and regression-based methods as tools to estimate past climatic conditions. We tested standard and robust Partial Least Squares and Principal Component Regression, applied to the log-ratio coordinates of percentage data of Atlantic Ocean and Mediterranean Sea planktonic foraminiferal assemblages. Due to the presence of groups, it was preferred to model separately high latitude and mid to low latitude assemblages. This approach implies the application of cluster analysis, MANOVA and discriminant analysis to the logratio transformed fossil assemblage's compositions. The methods were then applied on marine core assemblages to reconstruct past sea surface temperatures. The obtained results were compared with those formerly obtained by means of compositional modern analogue technique and with the information arising from other paleoclimatic proxies
dc.description.sponsorship
This work has been supported by the project
“CODAMET” (Ministerio de Ciencia, Innovación y Universidades; Ref: RTI2018-095518-B-C21)
dc.format.extent
11 p.
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.relation
RTI2018-095518-B-C21
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Reproducció digital del document publicat a: https://doi.org/10.26382/AMQ.2020.02
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Alpine and Mediterranean Quaternary, 2020, vol. 33, núm. 1, p. 31-41
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Articles publicats (D-IMAE)
dc.rights
Reconeixement-NoComercial 4.0 Internacional
dc.rights.uri
dc.source
Di Donato, Valentino Jamka, Joanna Martín Fernández, Josep Antoni 2020 Compositional Regression-Based Methods for SST Reconstruction Alpine and Mediterranean Quaternary 33 1 31 41
dc.subject
dc.title
Compositional Regression-Based Methods for SST Reconstruction
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.relation.projectID
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C21/ES/METODOS DEL ANALISIS COMPOSICIONAL DE DATOS/
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
032505
dc.contributor.funder
dc.type.peerreviewed
peer-reviewed
dc.relation.FundingProgramme
dc.relation.ProjectAcronym
dc.identifier.eissn
2279-7335