Heslop, D. et al. (2011): Diagnosing the uncertainty of taxa relative abundances derived from count data

Leg/Site/Hole:
ODP 208
DSDP 74
DSDP 74 525
ODP 208 1262
Identifier:
2011-099233
georefid

10.1016/j.marmicro.2011.01.007
doi

Creator:
Heslop, D.
Universitaet Bremen, Fachbereich Geowissenschaften, Bremen, Germany
author

de Schepper, S.
author

Proske, U.
author

Identification:
Diagnosing the uncertainty of taxa relative abundances derived from count data
2011
Marine Micropaleontology
Elsevier, Amsterdam, Netherlands
79
3-4
114-120
When working with micropaleontological assemblage data it is necessary to accept that the true population can never be quantified fully. Thus, the investigator must count individuals in the hope of obtaining a representative sample and then determine the uncertainty associated with the taxa relative abundances. Such uncertainties can be obtained by assuming that the relative abundances originate from a multinomial distribution for which a confidence region can be obtained using existing statistical methods. For assemblages containing more than three taxa, however, the determination and representation of multinomial confidence regions become exceedingly cumbersome. Here we outline a simple method that allows diagnostic values of the multinomial confidence region to be calculated for any number of taxa. Examples of such values are the most extreme relative abundances, which allow the user to quantify the interval of a given taxon within the confidence region and the maximum/minimum values of various diversity indices. Abstract Copyright (2011) Elsevier, B.V.
English
Serial
Coverage:Geographic coordinates:
North:-27.1100
West:1.3400East: 2.5908
South:-29.0415

Invertebrate paleontology; Atlantic Ocean; benthic taxa; biodiversity; Cenozoic; Cretaceous; Deep Sea Drilling Project; DSDP Site 525; Foraminifera; Invertebrata; IPOD; K-T boundary; Leg 208; Leg 74; lower Paleocene; mathematical methods; Mesozoic; microfossils; Ocean Drilling Program; ODP Site 1262; Paleocene; Paleogene; planktonic taxa; Protista; quantitative analysis; South Atlantic; statistical analysis; stratigraphic boundary; Tertiary; uncertainty; Upper Cretaceous; Walvis Ridge;

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