TY - JOUR
T1 - Size normalizing planktonic Foraminifera abundance in the water column
AU - Chaabane, Sonia
AU - De garidel‐thoron, Thibault
AU - Giraud, Xavier
AU - Meilland, Julie
AU - Brummer, Geert‐jan a.
AU - Jonkers, Lukas
AU - Mortyn, P. graham
AU - Greco, Mattia
AU - Casajus, Nicolas
AU - Kucera, Michal
AU - Sulpis, Olivier
AU - Kuroyanagi, Azumi
AU - Howa, Hélène
AU - Beaugrand, Gregory
AU - Schiebel, Ralf
N1 - Publisher Copyright:
© 2024 The Author(s). Limnology and Oceanography: Methods published by Wiley Periodicals LLC on behalf of Association for the Sciences of Limnology and Oceanography.
PY - 2024/7/8
Y1 - 2024/7/8
N2 - Planktonic Foraminifera have been collected from the water column with different plankton sampling devices equipped with nets of various mesh sizes, which impedes direct comparison of observed quantifications. Here, we use data on the community size structure of planktonic Foraminifera to assess the impact of mesh size on the measured abundance (ind m−3) of planktonic Foraminifera. We use data from the FORCIS database (Chaabane et al., 2023, Scientific Data 10: 354) on the global ocean at different sampling depths over the past century. We find a global cumulative increase in abundance with size, which is best described using a Michaelis–Menten function. This function yields multiplication factors by which one size fraction can be normalized to any other size fraction equal to or larger than 100 μm. The resulting size normalization model is calibrated over a range of different depth intervals, and validated with an independent dataset from various depth ranges. The comparison to Berger's (1969, Deep. Res. Oceanogr. Abstr. 16: 1–24) equivalent catch approach shows a significant increase in the predictive skill of the model. The new size normalization scheme enables comparison of Foraminifera abundance data sampled with plankton nets of different mesh sizes, such as compiled in the FORCIS database. The correction methodology may be effectively employed for various other plankton groups such as diatoms and dinoflagellates. © 2024 The Author(s). Limnology and Oceanography: Methods published by Wiley Periodicals LLC on behalf of Association for the Sciences of Limnology and Oceanography.
AB - Planktonic Foraminifera have been collected from the water column with different plankton sampling devices equipped with nets of various mesh sizes, which impedes direct comparison of observed quantifications. Here, we use data on the community size structure of planktonic Foraminifera to assess the impact of mesh size on the measured abundance (ind m−3) of planktonic Foraminifera. We use data from the FORCIS database (Chaabane et al., 2023, Scientific Data 10: 354) on the global ocean at different sampling depths over the past century. We find a global cumulative increase in abundance with size, which is best described using a Michaelis–Menten function. This function yields multiplication factors by which one size fraction can be normalized to any other size fraction equal to or larger than 100 μm. The resulting size normalization model is calibrated over a range of different depth intervals, and validated with an independent dataset from various depth ranges. The comparison to Berger's (1969, Deep. Res. Oceanogr. Abstr. 16: 1–24) equivalent catch approach shows a significant increase in the predictive skill of the model. The new size normalization scheme enables comparison of Foraminifera abundance data sampled with plankton nets of different mesh sizes, such as compiled in the FORCIS database. The correction methodology may be effectively employed for various other plankton groups such as diatoms and dinoflagellates. © 2024 The Author(s). Limnology and Oceanography: Methods published by Wiley Periodicals LLC on behalf of Association for the Sciences of Limnology and Oceanography.
KW - Benthic foraminifera
KW - Flux
KW - Growth
KW - Margin
KW - North-atlantic
KW - Population-dynamics
KW - South atlantic
KW - Vertical-distribution
UR - http://www.scopus.com/inward/record.url?scp=85197684658&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/b1cbfe72-d4d2-363d-bfb8-b5e51f78314f/
U2 - 10.1002/lom3.10637
DO - 10.1002/lom3.10637
M3 - Article
SN - 1541-5856
VL - 22
SP - 701
EP - 719
JO - Limnology and Oceanography: Methods
JF - Limnology and Oceanography: Methods
IS - 10
ER -