Spectral ordering and biochronology of European fossil mammals

Mikael Fortelius, Aristides Gionis, Jukka Jernvall, Heikki Mannila

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

Kuvaus

Spectral algorithms have been shown to work well in a wide range of situations that involve the task of ordering. When applied to the localities of a set of European Neogene land mammal taxa, spectral ordering relies almost entirely on the most common genera, depends on connectivity more than on length of taxon lists, and is robust to noise from rarer and less connected taxa. The spectral coefficients for localities are highly correlated with known geochronological ages. Although elementary compared with more sophisticated biochronological tools, spectral ordering allows a fast and standardized way to generate biochronological ordering of localities when other information than faunal lists is lacking. Compared with the conventional mammal Neogene (MN) units, spectral ordering of localities appears to lack distinct temporal boundaries in taxon content and render a much lower count of Lazarus events. If, as seems to be the case, biochronology depends mainly on the most common taxa and if evolutionary change is also most clearly reflected in them, then the main evolutionary patterns should be detectable at a modest level of sampling.
Alkuperäiskielienglanti
LehtiPaleobiology
Vuosikerta32
Numero2
Sivut206-214
Sivumäärä9
ISSN0094-8373
TilaJulkaistu - 2006
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä, vertaisarvioitu

Lainaa tätä

Fortelius, Mikael ; Gionis, Aristides ; Jernvall, Jukka ; Mannila, Heikki. / Spectral ordering and biochronology of European fossil mammals. Julkaisussa: Paleobiology. 2006 ; Vuosikerta 32, Nro 2. Sivut 206-214.
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title = "Spectral ordering and biochronology of European fossil mammals",
abstract = "Spectral algorithms have been shown to work well in a wide range of situations that involve the task of ordering. When applied to the localities of a set of European Neogene land mammal taxa, spectral ordering relies almost entirely on the most common genera, depends on connectivity more than on length of taxon lists, and is robust to noise from rarer and less connected taxa. The spectral coefficients for localities are highly correlated with known geochronological ages. Although elementary compared with more sophisticated biochronological tools, spectral ordering allows a fast and standardized way to generate biochronological ordering of localities when other information than faunal lists is lacking. Compared with the conventional mammal Neogene (MN) units, spectral ordering of localities appears to lack distinct temporal boundaries in taxon content and render a much lower count of Lazarus events. If, as seems to be the case, biochronology depends mainly on the most common taxa and if evolutionary change is also most clearly reflected in them, then the main evolutionary patterns should be detectable at a modest level of sampling.",
author = "Mikael Fortelius and Aristides Gionis and Jukka Jernvall and Heikki Mannila",
year = "2006",
language = "English",
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pages = "206--214",
journal = "Paleobiology",
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Fortelius, M, Gionis, A, Jernvall, J & Mannila, H 2006, 'Spectral ordering and biochronology of European fossil mammals', Paleobiology, Vuosikerta 32, Nro 2, Sivut 206-214.

Spectral ordering and biochronology of European fossil mammals. / Fortelius, Mikael; Gionis, Aristides; Jernvall, Jukka; Mannila, Heikki.

julkaisussa: Paleobiology, Vuosikerta 32, Nro 2, 2006, s. 206-214.

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

TY - JOUR

T1 - Spectral ordering and biochronology of European fossil mammals

AU - Fortelius, Mikael

AU - Gionis, Aristides

AU - Jernvall, Jukka

AU - Mannila, Heikki

PY - 2006

Y1 - 2006

N2 - Spectral algorithms have been shown to work well in a wide range of situations that involve the task of ordering. When applied to the localities of a set of European Neogene land mammal taxa, spectral ordering relies almost entirely on the most common genera, depends on connectivity more than on length of taxon lists, and is robust to noise from rarer and less connected taxa. The spectral coefficients for localities are highly correlated with known geochronological ages. Although elementary compared with more sophisticated biochronological tools, spectral ordering allows a fast and standardized way to generate biochronological ordering of localities when other information than faunal lists is lacking. Compared with the conventional mammal Neogene (MN) units, spectral ordering of localities appears to lack distinct temporal boundaries in taxon content and render a much lower count of Lazarus events. If, as seems to be the case, biochronology depends mainly on the most common taxa and if evolutionary change is also most clearly reflected in them, then the main evolutionary patterns should be detectable at a modest level of sampling.

AB - Spectral algorithms have been shown to work well in a wide range of situations that involve the task of ordering. When applied to the localities of a set of European Neogene land mammal taxa, spectral ordering relies almost entirely on the most common genera, depends on connectivity more than on length of taxon lists, and is robust to noise from rarer and less connected taxa. The spectral coefficients for localities are highly correlated with known geochronological ages. Although elementary compared with more sophisticated biochronological tools, spectral ordering allows a fast and standardized way to generate biochronological ordering of localities when other information than faunal lists is lacking. Compared with the conventional mammal Neogene (MN) units, spectral ordering of localities appears to lack distinct temporal boundaries in taxon content and render a much lower count of Lazarus events. If, as seems to be the case, biochronology depends mainly on the most common taxa and if evolutionary change is also most clearly reflected in them, then the main evolutionary patterns should be detectable at a modest level of sampling.

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VL - 32

SP - 206

EP - 214

JO - Paleobiology

JF - Paleobiology

SN - 0094-8373

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