Diadromous fish at sea database

Date 2022-12-31
Temporal extent 1965-01-01 -2019-12-31
Author(s) Elliott SophieORCID1, 5, 7, Deleys Noémie1, 2, Beaulaton LaurentORCID1, 6, Rivot EtienneORCID1, 5, Reveillac ElodieORCID1, 4, Acou AnthonyORCID1, 3
Affiliation(s) 1 : Management of Diadromous Fish in their Environment OFB-INRAE-Institut Agro-UPPA, 35042 Rennes, France
2 : French Research Institute for the Exploration of the Sea (IFREMER) Vigies, 44311, Nantes, France
3 : UMS OFB-CNRS-MNHN PatriNat, Station marine du Museum National d’Histoire Naturelle, 35800 Dinard, France
4 : Littoral, Environnement et Sociétés (LIENSs), UMR 7266, La Rochelle Université-CNRS, 17000 La Rochelle, France
5 : DECOD (Ecosystem Dynamics and Sustainability), L’Institut Agro, Ifremer, INRAE, Rennes, France
6 : Service Conservation et Gestion Durable des Espèces Exploitées, OFB, DRAS, 35042 Rennes, France
7 : Game & Wildlife Conservation Trust, Salmon & Trout Research Centre, East Stoke, Wareham BH20 6BB, UK
DOI 10.17882/91719
Publisher SEANOE
Keyword(s) Commercial fisheries data, Scientific surveys, Presence absence data, fishing gear, diadromous fish
Abstract

This database contains hauls collated from 1965 to 2019, from fisheries dependent and independent data, from across eastern Atlantic waters and French Mediterranean waters. From this data diadromous fish spatio-temporal data was cleaned and standardised.

Licence CC-BY-NC-SA
Utilisation Please reference: Elliott, S.A.M., Deleys, N., Beaulaton, L., Rivot, E., Réveillac, E., Acou, A. 2022. Fisheries dependent and independent data used to model the distribution of diadromous fish. Data in Brief and Elliott, S.A.M., Acou, A., Beaulaton, L., Guitton, J., Réveillac, E., Rivot, E., 2022. Modelling the distribution of rare and data-poor diadromous fish at sea for protected area management. Progress in Oceanography. https://doi.org/10.1016/j.pocean.2022.102924
Acknowledgements We thank the funders of the project Management of Diadromous Fish in their Environment, OFB-INRAE-Agrocampus Ouest-UPPA. We are extremely grateful to all those who were involved in collecting and compiling the fisheries-dependent and fisheries-independent data and their funders. We are also grateful to IFREMER and the French marine fisheries and aquaculture administration (DPMA) for access to their data.
Sensor metadata

Refer to

Elliott, S.A.M., Deleys, N., Beaulaton, L., Rivot, E., Réveillac, E., Acou, A. 2023. Fisheries dependent and independent data used to model the distribution of diadromous fish. Data in Brief

and

Elliott, S.A.M., Acou, A., Beaulaton, L., Guitton, J., Réveillac, E., Rivot, E., 2022. Modelling the distribution of rare and data-poor diadromous fish at sea for protected area management. Progress in Oceanography. https://doi.org/10.1016/j.pocean.2022.102924

Data
File Size Format Processing Access
Spatialised presence absences data from fisheries dependent and independent data 19 MB CSV Quality controlled data Open access
Top of the page

How to cite 

Elliott Sophie, Deleys Noémie, Beaulaton Laurent, Rivot Etienne, Reveillac Elodie, Acou Anthony (2022). Diadromous fish at sea database. SEANOE. https://doi.org/10.17882/91719