Spatially explicit estimates of North Atlantic albacore tuna (Thunnus alalunga) biomass in the North Atlantic for the period 1956-2010 - Gridded data product (NetCDF) ...

The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species, together with the model estimates achieved from these data, allowing models inter-comparison...

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Bibliographic Details
Main Authors: Lehodey, Patrick, Senina, Inna, Dragon, Anne-Cécile, Arrizabalaga, Haritz
Format: Dataset
Language:English
Published: PANGAEA 2014
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.831499
https://doi.pangaea.de/10.1594/PANGAEA.831499
Description
Summary:The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species, together with the model estimates achieved from these data, allowing models inter-comparison and evaluation of model skills. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. Length frequencies of catch were also extracted according to the definition of fisheries for the period 1956-2010. Using these data, an application of the spatial ecosystem and population dynamics model (SEAPODYM) was developed for the North Atlantic albacore population and ... : This work was funded in part by the European project EURO-BASIN, funded by Framework Programme 7 (Contract 264933). Special thanks to ICCAT for the access to its public fishing database and Carlos Palma (ICCAT) and Alain Fonteneau (IRD) for their helpful advice on these data. ...