FN Archimer Export Format
PT J
TI Monthly spatial dynamics of the Bay of Biscay hake-sole-Norway lobster fishery: an ISIS-Fish database
BT 
AF Vigier, Audric
   Bertignac, Michel
   Mahévas, Stephanie
AS 1:1,2,3;2:4;3:1;
FF 1:PDG-RBE-EMH;2:PDG-RBE-HALGO-LBH;3:PDG-RBE-HALGO-EMH;
C1 DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro - Agrocampus Ouest, Nantes, France
   Queen’s University Belfast, School of Biological Sciences, Belfast, United Kingdom
   UK Centre for Ecology & Hydrology, Penicuik, United Kingdom
   DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro - Agrocampus Ouest, Brest, France
C2 IFREMER, FRANCE
   UNIV QUEENS BELFAST, UK
   UK CEH, UK
   IFREMER, FRANCE
SI BREST
   NANTES
SE PDG-RBE-EMH
   PDG-RBE-HALGO-LBH
   PDG-RBE-HALGO-EMH
UM DECOD
IN WOS Ifremer UMR
   DOAJ
   copubli-europe
IF 9.8
TC 1
UR https://archimer.ifremer.fr/doc/00777/88899/94501.pdf
   https://archimer.ifremer.fr/doc/00777/88899/94502.pdf
LA English
DT Article
AB Abstract We propose a database to describe the Bay of Biscay mixed demersal European fishery over the period 2010–2020 for the ISIS-Fish simulation tool. It was built upon national and European fishing databases, scientific survey datasets, models estimates, literature, and the formulation of assumptions. It accounts explicitly for spatial and seasonal processes, and for mixed fisheries phenomenons. This database encompasses population dynamics for 3 stocks, hake, sole and Norway lobster, exploitation dynamics for numerous fleets and métiers, and the description of current fishing management, as well as fishers adaptation. A calibration procedure was designed to ensure consistency between all these diverse and heterogeneous parameters compiled and estimated in the ISIS-Fish database and to ensure the model reproduces closely historical catch patterns. This database is a starting point towards operational simulations, of use for understanding the functioning of the fishery, the assessment of management strategies, or delivering short and long-term scenarios. It can be used to reproduce historical catch patterns, with room for improvement on some inter-annual and spatial dynamics. 
PY 2022
PD JUL
SO Scientific Data
SN 2052-4463
PU Springer Science and Business Media LLC
VL 9
IS 1
UT 000814794200007
DI 10.1038/s41597-022-01408-0
ID 88899
ER

EF