Monthly spatial dynamics of the Bay of Biscay hake-sole-Norway lobster fishery: an ISIS-Fish database

Vigier, Audric ORCID: https://orcid.org/0000-0001-6798-409X; Bertignac, Michel; Mahévas, Stéphanie. 2022 Monthly spatial dynamics of the Bay of Biscay hake-sole-Norway lobster fishery: an ISIS-Fish database. Scientific Data, 9. 10.1038/s41597-022-01408-0

Before downloading, please read NORA policies.

Preview

Text
N532969JA.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
Download (3MB) | Preview

Official URL: http://dx.doi.org/10.1038/s41597-022-01408-0

Abstract/Summary

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.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1038/s41597-022-01408-0
UKCEH and CEH Sections/Science Areas:	Atmospheric Chemistry and Effects (Science Area 2017-)
ISSN:	2052-4463
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	ecological modelling, environmental sciences, population dynamics
NORA Subject Terms:	Ecology and Environment Data and Information
Date made live:	21 Jul 2022 15:10 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/532969

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1038/s41597-022-01408-0

UKCEH and CEH Sections/Science Areas:

Atmospheric Chemistry and Effects (Science Area 2017-)

ISSN:

2052-4463

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

ecological modelling, environmental sciences, population dynamics