Distribution of planktic foraminifera in surface sediments of the Atlantic Ocean

Description :

 We present a data set of 738 planktonic foraminiferal species counts from sediment surface samples of the eastern North Atlantic and the South Atlantic between 87°N and 40°S, 35°E and 60°W including published Climate: Long-Range Investigation, Mapping, and Prediction (CLIMAP) data. These species counts are linked to Levitus's [1982] modern water temperature data for the four caloric seasons, four depth ranges (0, 30, 50, and 75 m), and the combined means of those depth ranges. The relation between planktonic foraminiferal assemblages and sea surface temperature (SST) data is estimated using the newly developed SIMMAX technique, which is an acronym for a modern analog technique (MAT) with a similarity index, based on (1) the scalar product of the normalized faunal percentages and (2) a weighting procedure of the modern analog's SSTs according to the inverse geographical distances of the most similar samples. Compared to the classical CLIMAP transfer technique and conventional MAT techniques, SIMMAX provides a more confident reconstruction of paleo-SSTs (correlation coefficient is 0.994 for the caloric winter and 0.993 for caloric summer). The standard deviation of the residuals is 0.90°C for caloric winter and 0.96°C for caloric summer at 0-m water depth. The SST estimates reach optimum stability (standard deviation of the residuals is 0.88°C) at the average 0– to 75-m water depth. Our extensive database provides SST estimates over a range of -1.4 to 27.2°C for caloric winter and 0.4 to 28.6°C for caloric summer, allowing SST estimates which are especially valuable for the high-latitude Atlantic during glacial times.

Link GBIF portal : https://www.gbif.org/dataset/86c600ca-f762-11e1-a439-00145eb45e9a

Project :
Title : Glacial Atlantic Ocean Mapping;
Abstract : 
Funding : 
Contact :   (ADMINISTRATIVE_POINT_OF_CONTACT)
Le jeu de données diffusé est issu d'un traitement automatique appliqué sur les données issues du GBIF. Les règles de l'INPN et plus globalement du SINP (en termes de périmètre et de contrôle sur les données) peuvent impliquer que l'ensemble des données du jeu source ne soit pas restitué dans le SINP.
 The disseminated dataset stems from an automatic treatment applied to data coming from GBIF. INPN rules, and more generally SINP rules (in terms of perimeter and data quality controls) may imply that the whole of the source dataset might not be provided on the SINP platform. 

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Dates publication :

Premiere diffusion : 26/09/2019 

Dernière mise à jour : 08/04/2022