Size normalizing planktonic Foraminifera abundance in the water column ...

Data and R code for " Size normalizing planktonic Foraminifera abundance in the water column " by Sonia Chaabane, Thibault de Garidel-Thoron, Xavier Giraud, Julie Meilland, Geert-Jan A. Brummer, Lukas Jonkers, P. Graham Mortyn, Mattia Greco, Nicolas Casajus, Olivier Sulpis, Michal Kucera,...

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Bibliographic Details
Main Authors: Chaabane, Sonia, de Garidel-Thoron, Thibault, Giraud, Xavier, Meilland, Julie, Brummer, Geert-Jan A., Jonkers, Lukas, Mortyn, P. Graham, Greco, Mattia, Casajus, Nicolas, Kucera, Michal, Olivier Sulpis, Kuroyanagi, Azumi, Howa, Hélène, Beaugrand, Gregory, Schiebel, Ralf
Format: Dataset
Language:unknown
Published: Zenodo 2024
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Online Access:https://dx.doi.org/10.5281/zenodo.10750545
https://zenodo.org/doi/10.5281/zenodo.10750545
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Summary:Data and R code for " Size normalizing planktonic Foraminifera abundance in the water column " by Sonia Chaabane, Thibault de Garidel-Thoron, Xavier Giraud, Julie Meilland, Geert-Jan A. Brummer, Lukas Jonkers, P. Graham Mortyn, Mattia Greco, Nicolas Casajus, Olivier Sulpis, Michal Kucera, Azumi Kuroyanagi, Hélène Howa, Gregory Beaugrand, Ralf Schiebel The codes serve to generate a new normalization approach for estimating the abundance of planktonic Foraminifera (ind/m³) within the specified collection size fraction range. Data utilized in this study are sourced from the FORCIS database, containing records collected from the global ocean at various depths spanning the past century. A cumulative distribution across size fractions is identified and modeled using a Michaelis-Menten function. This modeling results in multiplication factors enabling the normalization of one fraction to any other size fraction equal to or larger than 100 µm. The resultant size normalization model is then tested across various ...