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Cellular morphological trait dataset for extant coccolithophores from the Atlantic Ocean.
Sheward, Rosie M; Poulton, Alex J; Young, Jeremy R; de Vries, Joost; Monteiro, Fanny M; Herrle, Jens O.
Afiliación
  • Sheward RM; Institute for Geosciences, Goethe-University Frankfurt, Frankfurt am Main, Germany. sheward@em.uni-frankfurt.de.
  • Poulton AJ; The Lyell Centre for Earth and Marine Science, Heriot-Watt University, Edinburgh, UK.
  • Young JR; Department of Earth Sciences, University College London, London, UK.
  • de Vries J; BRIDGE, School of Geographical Sciences, University of Bristol, Bristol, UK.
  • Monteiro FM; BRIDGE, School of Geographical Sciences, University of Bristol, Bristol, UK.
  • Herrle JO; Institute for Geosciences, Goethe-University Frankfurt, Frankfurt am Main, Germany.
Sci Data ; 11(1): 720, 2024 Jul 02.
Article en En | MEDLINE | ID: mdl-38956105
ABSTRACT
Calcification and biomass production by planktonic marine organisms influences the global carbon cycle and fuels marine ecosystems. The major calcifying plankton group coccolithophores are highly diverse, comprising ca. 250-300 extant species. However, coccolithophore size (a key functional trait) and degree of calcification are poorly quantified, as most of our understanding of this group comes from a small number of species. We generated a novel reference dataset of coccolithophore morphological traits, including cell-specific data for coccosphere and cell size, coccolith size, number of coccoliths per cell, and cellular calcite content. This dataset includes observations from 1074 individual cells and represents 61 species from 25 genera spanning equatorial to temperate coccolithophore populations that were sampled during the Atlantic Meridional Transect (AMT) 14 cruise in 2004. This unique dataset can be used to explore relationships between morphological traits (cell size and cell calcite) and environmental conditions, investigate species-specific and community contributions to pelagic carbonate production, export and plankton biomass, and inform and validate coccolithophore representation in marine ecosystem and biogeochemical models.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Haptophyta Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Haptophyta Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: Alemania