Factors affecting consistency and accuracy in identifying modern macroperforate planktonic foraminifera

Author:

Fenton Isabel S.ORCID,Baranowski Ulrike,Boscolo-Galazzo Flavia,Cheales Hannah,Fox LyndseyORCID,King David J.,Larkin ChristinaORCID,Latas Marcin,Liebrand Diederik,Miller C. GilesORCID,Nilsson-Kerr KatrinaORCID,Piga EmanuelaORCID,Pugh Hazel,Remmelzwaal Serginio,Roseby Zoe A.,Smith Yvonne M.,Stukins StephenORCID,Taylor Ben,Woodhouse Adam,Worne Savannah,Pearson Paul N.ORCID,Poole Christopher R.,Wade Bridget S.ORCID,Purvis AndyORCID

Abstract

Abstract. Planktonic foraminifera are widely used in biostratigraphic, palaeoceanographic and evolutionary studies, but the strength of many study conclusions could be weakened if taxonomic identifications are not reproducible by different workers. In this study, to assess the relative importance of a range of possible reasons for among-worker disagreement in identification, 100 specimens of 26 species of macroperforate planktonic foraminifera were selected from a core-top site in the subtropical Pacific Ocean. Twenty-three scientists at different career stages – including some with only a few days experience of planktonic foraminifera – were asked to identify each specimen to species level, and to indicate their confidence in each identification. The participants were provided with a species list and had access to additional reference materials. We use generalised linear mixed-effects models to test the relevance of three sets of factors in identification accuracy: participant-level characteristics (including experience), species-level characteristics (including a participant's knowledge of the species) and specimen-level characteristics (size, confidence in identification). The 19 less experienced scientists achieve a median accuracy of 57 %, which rises to 75 % for specimens they are confident in. For the 4 most experienced participants, overall accuracy is 79 %, rising to 93 % when they are confident. To obtain maximum comparability and ease of analysis, everyone used a standard microscope with only 35× magnification, and each specimen was studied in isolation. Consequently, these data provide a lower limit for an estimate of consistency. Importantly, participants could largely predict whether their identifications were correct or incorrect: their own assessments of specimen-level confidence and of their previous knowledge of species concepts were the strongest predictors of accuracy.

Funder

NERC Environmental Bioinformatics Centre

Publisher

Copernicus GmbH

Subject

Paleontology

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