Principal Components Analysis: An Alternative Way for Removing Natural Growth Trends

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dc.contributor.authorSilva, Daniela Oliveira da
dc.contributor.authorKlausner, Virginia
dc.contributor.authorPrestes, Alan
dc.contributor.authorMacedo, Humberto Gimenes
dc.contributor.authorAakala, Tuomas
dc.contributor.authorSilva, Iuri Rojahn da
dc.date.accessioned2025-04-08T16:36:50Z
dc.date.available2025-04-08T16:36:50Z
dc.date.issued22021
dc.description.abstractIn this article, we establish a new approach for removing natural growth trends from tree-ring samples, also called detrending. We demonstrate this approach using Ocotea porosa (Nees & Mart) Barroso trees. Nondestructive samples were collected in General Carneiro city, located in the Brazilian southern region (Paraná state). To remove natural tree growth trends, principal components analysis (PCA) was applied on the tree-ring series as a new detrending method. From this, we obtained the tree-ring indices by reconstructing the tree-ring series without the first principal component (PC), which we expect to represent the natural growth trend. The performance of this PCA method was then compared to other detrending methods commonly used in dendrochronology, such as the cubic spline method, negative exponential or linear regression curve, and the regional curve standardization method. A comparison of these methods showed that the PCA detrending method can be used as an alternative to traditional methods since (1) it preserves the low-frequency variance in the 566-year chronology and (2) represents an automatic way to remove the natural growth trends of all individual measurement series at the same time. Moreover, when implemented using the alternating least squares (ALS) method, the PCA can deal with tree-ring series of different lengths.
dc.description.physical19 p.
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.uriFAPESP (2009/02907-8) CNPq (305249/2018-5)
dc.format.mimetypePDF
dc.identifier.affiliationUniversidade do Vale do Paraíba
dc.identifier.affiliationUniversity of Eastern Finland
dc.identifier.bibliographicCitationSILVA, Daniela Oliveira da et al. Principal Components Analysis: An Alternative Way for Removing Natural Growth Trends. Pure and Applied Geophysics, v. 178, n. 8, p. 3131-3149, 2021. Disponível em:
dc.identifier.doi10.1007/s00024-021-02776-1
dc.identifier.urihttps://repositorio.univap.br/handle/123456789/823
dc.language.isoen_US
dc.publisherSpringer Nature Link
dc.rights.holderPure and Applied Geophysics
dc.subject.keywordDendrochronology
dc.subject.keywordTree ring
dc.subject.keywordNatural records
dc.titlePrincipal Components Analysis: An Alternative Way for Removing Natural Growth Trends
dc.typeArtigos de Periódicos

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