HIPPO environmental monitoring: impact of phytoplankton dynamics on water column chemistry and the sclerochronology of the king scallop ( Pecten maximus ) as a biogenic archive for past primary production reconstructions - Université de Bretagne Occidentale Accéder directement au contenu
Article Dans Une Revue Earth System Science Data Année : 2023

HIPPO environmental monitoring: impact of phytoplankton dynamics on water column chemistry and the sclerochronology of the king scallop ( Pecten maximus ) as a biogenic archive for past primary production reconstructions

Yoan Germain
  • Fonction : Auteur
Klaus Peter Jochum
Céline Liorzou

Résumé

As part of the HIPPO (HIgh-resolution Primary Production multi-prOxy archives) project, environmental monitoring was carried out between March and October 2021 in the Bay of Brest. The aim of this survey was to better understand the processes which drive the incorporation of chemical elements into scallop shells and their links with phytoplankton dynamics. For this purpose, biological samples (scallops and phytoplankton) as well as water samples were collected in order to analyze various environmental parameters (element chemical properties, nutrients, chlorophyll a, etc.). Given the large number of parameters that were measured, only the major results are presented and discussed here. However, the whole dataset, which has been made available, is much larger and can potentially be very useful for other scientists performing sclerochronological investigations, studying biogeochemical cycles or conducting various ecological research projects. The dataset is available at https://doi.org/10.17882/92043 (Siebert et al., 2023).
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hal-04186890 , version 1 (25-08-2023)

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Valentin Siebert, Brivaëla Moriceau, Lukas Fröhlich, Bernd Schöne, Erwan Amice, et al.. HIPPO environmental monitoring: impact of phytoplankton dynamics on water column chemistry and the sclerochronology of the king scallop ( Pecten maximus ) as a biogenic archive for past primary production reconstructions. Earth System Science Data, 2023, 15 (7), pp.3263-3281. ⟨10.5194/essd-15-3263-2023⟩. ⟨hal-04186890⟩
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