dc.contributor.author
Di Donato, Valentino
dc.contributor.author
Martín Fernández, Josep Antoni
dc.contributor.author
Daunis-i-Estadella, Pepus
dc.contributor.author
Esposito, Paola
dc.date.accessioned
2024-10-29T08:21:58Z
dc.date.available
2024-10-29T08:21:58Z
dc.date.issued
2011-05-13
dc.identifier
http://hdl.handle.net/10256/13653
dc.identifier.uri
https://hdl.handle.net/10256/13653
dc.description.abstract
The choice of the sediment size fraction in the analysis of fossil planktonic foraminifera is of
great importance in determining the composition of assemblages. In past studies several size
fractions have been utilised. Imbrie and Kipp (1971) stated that “smaller fractions give rise to too
many uncertainties in the identification of small specimens and require too long to process. Large
mesh size yield undesiderable loss of small species, and small specimens of larger species”. The
adoption of coarser sieve meshes has the effect to reduce the percentages of small sized (usually
living in cold waters) species (Bé and Hutson, 1977). In a comparison between >63 μm and >150
μm size-fraction of planktonic foraminifera assemblages from NW Atlantic Ocean, Smart (2002),
stated that because particular smaller species are either under-represented or even absent from the
larger (>150 μm) size-fraction, the smaller (>63 μm) size-fraction must be included in studies of
planktonic foraminifera. Di Donato et al. (2008) highlighted in the >150 μm size fraction of a core
from the Tyrrhenian Sea, a great loss of the small-sized species Turborotalita quinqueloba in glacial
samples, where this species is very abundant. This caused an increase in warm water species such as
Globigerinoides ruber, apparently reaching typical Holocene values in some full glacial levels.
From the above mentioned statements, it is clear that treatment changes can strongly influence the
results of palaeoclimatic reconstructions based on planktonic foraminiferal assemblages.
As stated by Aitchison (1986, 1992) scale invariance and subcompositional coherence are
fundamental properties of the compositional data analysis (CODA). The main goal of this paper is
to verify if the variable relationships pointing out from CODA of foraminiferal assemblages are or
not influenced by the size fraction and, more in general, to test the robustness of CODA respect to
treatment changes related to different preparation techniques for the analysis of planktonic foraminifera
dc.format
application/pdf
dc.publisher
Universitat Politècnica de Catalunya. Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE)
dc.relation
info:eu-repo/semantics/altIdentifier/isbn/978-84-87867-76-7
dc.rights
info:eu-repo/semantics/openAccess
dc.source
© International Workshop on Compositional Data Analysis (4th: 2011: Sant Feliu de GuÍxols, Girona). CODAWORK 2011: International Workshop on Compositional Data Analysis, hold on May 9-13rd. 2011, Sant Feliu de Guíxols, Girona
dc.source
Llibres / Capítols de LLibre (D-IMAE)
dc.subject
Estadística matemàtica -- Congressos
dc.subject
Mathematical statistics -- Congresses
dc.subject
Anàlisi multivariable -- Congressos
dc.subject
Mathematical statistics -- Congresses
dc.subject
Foraminífers fòssils -- Mètodes estadístics -- Congressos
dc.subject
Foraminifera, Fossil -- Statistical methods -- Congresses
dc.title
Analysis of Fossil Planktonic Foraminifera: The Sieve Mesh Effect
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:eu-repo/semantics/publishedVersion