An ISIS-Fish database describing monthly spatial dynamics of the Bay of Biscay mixed demersal fishery

Date 2022-02-09
Author(s) Vigier AudricORCID1, Bertignac MichelORCID2, Mahevas StephanieORCID1
Affiliation(s) 1 : DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro - Agrocampus Ouest, Nantes, France
2 : DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro - Agrocampus Ouest, Brest, France
DOI 10.17882/86233
Publisher SEANOE
Note The working database is available in the repository : https://gitlab.ifremer.fr/macco/Public_isis_bob_hake_sole_nephrops.git
Keyword(s) simulation, fisheries, model settings, scenarios, hake, management, spatial, calibration, norway lobster, sole, bay of Biscay
Abstract

We propose a database to describe the Bay of Biscay mixed demersal European fishery 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 scenarii. It can be used to reproduce historical catch patterns, with room for improvement on some inter-annual and spatial dynamics. 

Licence CC-BY
Acknowledgements This study was supported by IFREMER, and by COSELMAR and MACCO projects, funded respectively by Région Pays de la Loire and France Filière Pêche (grant number PH/2018/18). The authors thank Dorleta Garcia and Spyros Fifas for providing observations on respectively hake and Norway lobster catch. The authors also thank Jean-Baptiste Lecomte for providing observations on sole catch and helping set up the repository.
Data
File Size Format Processing Access
Zip of the gitlab repository including a readme file that describes the contain and the procedure to explore/use the database 454 MB zip file Processed data Open access
Top of the page

How to cite 

Vigier Audric, Bertignac Michel, Mahevas Stephanie (2022). An ISIS-Fish database describing monthly spatial dynamics of the Bay of Biscay mixed demersal fishery. SEANOE. https://doi.org/10.17882/86233


In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication :


Vigier Audric, Bertignac Michel, Mahévas Stephanie (2022). Monthly spatial dynamics of the Bay of Biscay hake-sole-Norway lobster fishery: an ISIS-Fish database. Scientific Data, 9(1), 306 (12p.). Publisher's official version : https://doi.org/10.1038/s41597-022-01408-0 , Open Access version : https://archimer.ifremer.fr/doc/00777/88899/