FN Archimer Export Format
PT J
TI Fisheries-dependent and -independent data used to model the distribution of diadromous fish at-sea
BT 
AF Elliott, Sophie A.M.
   Deleys, Noémie
   Beaulaton, Laurent
   Rivot, Etienne
   Réveillac, Elodie
   Acou, Anthony
AS 1:1,5,7;2:1,2;3:1,6;4:1,5;5:4;6:1,3;
FF 1:;2:PDG-ODE-VIGIES;3:;4:;5:;6:;
C1 Management of Diadromous Fish in their Environment OFB, INRAE, Institut Agro, UPPA, 35042 Rennes, France
   French Research Institute for the Exploration of the Sea (IFREMER) Vigies, 44311, Nantes, France
   Centre d'expertise et de données sur le patrimoine naturel, Patrinat OFB-MNHN-CNRS-IRD, Station marine du Museum National d'Histoire Naturelle, 35800 Dinard, France
   Littoral, Environnement et Sociétés (LIENSs), UMR 7266, La Rochelle Université-CNRS, 17000 La Rochelle, France
   DECOD (Ecosystem Dynamics and Sustainability), Institut Agro, Ifremer, INRAE, Rennes, France
   Service Conservation et Gestion Durable des Espèces Exploitées, DRAS, OFB, U3E, 35042 Rennes, France
   Game & Wildlife Conservation Trust, Salmon & Trout Research Centre, East Stoke, Wareham BH20 6BB, UK
C2 INST AGRO RENNES-ANGERS, FRANCE
   IFREMER, FRANCE
   MNHN, FRANCE
   UNIV LA ROCHELLE, FRANCE
   INST AGRO RENNES-ANGERS, FRANCE
   OFB, FRANCE
   GWCT, UK
SI NANTES
SE PDG-ODE-VIGIES
UM DECOD
IN WOS Ifremer UPR
   WOS Cotutelle UMR
   DOAJ
   copubli-france
   copubli-europe
   copubli-univ-france
TC 1
UR https://archimer.ifremer.fr/doc/00831/94262/101667.pdf
   https://archimer.ifremer.fr/doc/00831/94262/101668.docx
LA English
DT Article
DE ;Commercial fisheries data;Scientific survey data;Presence-absence data;Fishing gear;Bycatch;Anadromous and catadromous fish;Distribution modelling
AB A database of 168 904 hauls covering the period from 1965 to 2019, from 46 surveys containing both fisheries-dependent (fishing vessels) and -independent data (scientific surveys) were collated from across the eastern Atlantic (Greater North Sea, Celtic Sea, Bay of Biscay and Iberian coast) and Metropolitan French Mediterranean waters. Data on diadromous fish (the European sturgeon (Acipenser sturio), allis shad (Alosa alosa), twait shad (Alosa fallax), Mediterranean twaite shad (Alosa agone), European eel (Anguilla anguilla), thinlip mullet (Chelon ramada), river lamprey (Lampetra fluviatilis), sea lamprey (Petromyzon marinus), smelt (Osmerus eperlanus), European flounder (Platichthys flesus), Atlantic salmon (Salmo salar) and the sea trout (Salmo trutta)) presence-absence was extracted and cleaned. The gear type and gear category which caught these species, their spatial location, and the date of capture (year and month), were also cleaned and standardised. Very little is known about diadromous fish at-sea and modelling data-poor and poorly detectable species such as diadromous fish is challenging for species conservation. Furthermore, databases which contain both scientific surveys and fisheries-dependent data on data-poor species at the temporal and geographical scale of this database are uncommon. This data could therefore be used to improve knowledge of diadromous fish spatial and temporal trends, and modelling techniques for data-poor species. 
PY 2023
PD JUL
SO Data In Brief
SN 2352-3409
PU Elsevier BV
VL 48
UT 000978822400001
DI 10.1016/j.dib.2023.109107
ID 94262
ER

EF