Articles | Volume 37, issue 2
https://doi.org/10.5194/jm-37-431-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/jm-37-431-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Sep 2018
Research article |
| 25 Sep 2018
| 25 Sep 2018
Factors affecting consistency and accuracy in identifying modern macroperforate planktonic foraminifera
Isabel S. Fenton
CORRESPONDING AUTHOR
Department of Life Sciences, Natural History Museum, London, SW7 5BD,
UK
Ulrike Baranowski
School of Geography, Earth and Environmental Sciences, University of
Birmingham, Birmingham, B15 2TT, UK
Flavia Boscolo-Galazzo
School of Earth and Ocean Sciences, Cardiff University, Cardiff, CF10
3AT, UK
Hannah Cheales
Department of Life Sciences, Natural History Museum, London, SW7 5BD,
UK
Department of Genetics, Evolution and Environment, University College
London, London, WC1E 6BT, UK
Lyndsey Fox
Department of Earth Sciences, Natural History Museum, London, SW7 5BD,
UK
David J. King
Department of Earth Sciences, Natural History Museum, London, SW7 5BD,
UK
Department of Earth Sciences, University College London, London, WC1E
6BT, UK
Christina Larkin
Department of Earth Sciences, University of Cambridge, Cambridge, CB2
3EQ, UK
Marcin Latas
Department of Life Sciences, Natural History Museum, London, SW7 5BD,
UK
Department of Earth Sciences, University College London, London, WC1E
6BT, UK
Diederik Liebrand
MARUM – Center for Marine Environmental Sciences, University of Bremen,
Bremen, 28359, Germany
C. Giles Miller
Department of Earth Sciences, Natural History Museum, London, SW7 5BD,
UK
Katrina Nilsson-Kerr
School of Environment, Earth and Ecosystem Sciences, The Open
University, Milton Keynes, MK7 6AA, UK
Emanuela Piga
School of Earth and Ocean Sciences, Cardiff University, Cardiff, CF10
3AT, UK
Department of Earth Sciences, Natural History Museum, London, SW7 5BD,
UK
Hazel Pugh
Department of Life Sciences, Natural History Museum, London, SW7 5BD,
UK
Department of Life Sciences, Imperial College London, Silwood Park
Campus, Ascot, SL5 7PY, UK
Serginio Remmelzwaal
School of Earth Sciences, University of Bristol, Bristol, BS8 1RJ, UK
Zoe A. Roseby
National Oceanography Centre Southampton, University of Southampton,
Southampton, SO17 1BJ, UK
Yvonne M. Smith
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT,
UK
Stephen Stukins
Department of Earth Sciences, Natural History Museum, London, SW7 5BD,
UK
Ben Taylor
School of Earth and Environmental Sciences, University of St Andrews,
St Andrews, KY16 9AL, UK
Adam Woodhouse
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT,
UK
Savannah Worne
School of Geography, University of Nottingham, Nottingham, NG7 2RD,
UK
Paul N. Pearson
School of Earth and Ocean Sciences, Cardiff University, Cardiff, CF10
3AT, UK
Christopher R. Poole
Department of Earth Sciences, University College London, London, WC1E
6BT, UK
Bridget S. Wade
Department of Earth Sciences, University College London, London, WC1E
6BT, UK
Andy Purvis
Department of Life Sciences, Natural History Museum, London, SW7 5BD,
UK
Department of Life Sciences, Imperial College London, Silwood Park
Campus, Ascot, SL5 7PY, UK
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Cited
14 citations as recorded by crossref.
- Reproducibility of species recognition in modern planktonic foraminifera and its implications for analyses of community structure N. Al-Sabouni et al. 10.5194/jm-37-519-2018
- Do different extraction techniques impact planktic foraminiferal assemblages? An early Eocene case study R. D'Onofrio & V. Luciani 10.1016/j.marmicro.2019.101795
- Temperature controls carbon cycling and biological evolution in the ocean twilight zone F. Boscolo-Galazzo et al. 10.1126/science.abb6643
- Diachroneity Rules the Mid-Latitudes: A Test Case Using Late Neogene Planktic Foraminifera across the Western Pacific A. Lam et al. 10.3390/geosciences12050190
- Automatic taxonomic identification based on the Fossil Image Dataset (>415,000 images) and deep convolutional neural networks X. Liu et al. 10.1017/pab.2022.14
- Bridging the extant and fossil record of planktonic foraminifera: implications for the Globigerina lineage A. Fabbrini et al. 10.1111/pala.12676
- Representing Zooplankters: An Example from the Foraminifera G. Scott 10.3390/geosciences14060169
- Endless Forams: >34,000 Modern Planktonic Foraminiferal Images for Taxonomic Training and Automated Species Recognition Using Convolutional Neural Networks A. Hsiang et al. 10.1029/2019PA003612
- Taxonomic review of living planktonic foraminifera G. Brummer & M. Kučera 10.5194/jm-41-29-2022
- Biochronology and evolution of Pulleniatina (planktonic foraminifera) P. Pearson et al. 10.5194/jm-42-211-2023
- Pioneers of plankton research: Esteban Boltovskoy (1912–1997) A. Boltovskoy & D. Boltovskoy 10.1093/plankt/fbac051
- Southern California margin benthic foraminiferal assemblages record recent centennial-scale changes in oxygen minimum zone H. Palmer et al. 10.5194/bg-17-2923-2020
- Voucher Specimens in Taxonomy and Simpson’s Hypodigm G. Scott 10.3390/d16110666
- Automated analysis of foraminifera fossil records by image classification using a convolutional neural network R. Marchant et al. 10.5194/jm-39-183-2020
Latest update: 03 Nov 2024
Short summary
In this study we investigate consistency in species-level identifications and whether disagreements are predictable. Twenty-three scientists identified a set of 100 planktonic foraminifera, noting their confidence in each identification. The median accuracy of students was 57 %; 79 % for experienced researchers. Where they were confident in the identifications, the values are 75 % and 93 %, respectively. Accuracy was significantly higher if the students had been taught how to identify species.
In this study we investigate consistency in species-level identifications and whether...
