DATASET : Striped red mullet landing per unit of effort and environmental variables in the Bay of Biscay

Date 2020-11-24
Author(s) Kermorvant ClaireORCID1, 2, Caill-Milly NathalieORCID5, Sous DamienORCID3, 4, Paradinas IosuORCID1, Lissardy MurielORCID5, Liquet BenoitORCID1, 2
Affiliation(s) 1 : CNRS/Univ Pau & Pays Adour, Laboratoire de Mathématiques et de leurs Applications de Pau - Fédération MIRA, UMR5142, 64600 Anglet, France
2 : ARC Centre of Excellence for Mathematical and Statistical Frontiers at School of Mathematical Science, QueenslandUniversity of Technology, Brisbane, Australia
3 : Univ. Pau & Pays Adour E2S UPPA, Chaire HPC Waves, Laboratoire des Sciences de l’Ingénieur Appliquées à la Mécanique et au Génie Electrique Fédération IPRA, EA4581, Anglet, France
4 : Université de Toulon, Aix Marseille Université, CNRS, IRD, Mediterranean Institute of Oceanography (MIO), La Garde,France
5 : Ifremer, LITTORAL, F-64600 Anglet, France
DOI 10.17882/77179
Publisher SEANOE
Keyword(s) Environmental modelling, Fisheries indicator, Stripped red-mullet, Climate change
Abstract

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# Data description #

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This dataset have been constructed and used for scientific purpose, available in the paper "Detecting the effects of inter-annual and seasonal changes of environmental factors on the the striped red mullet population in the Bay of Biscay" authored by  Kermorvant C., Caill-Milly N., Sous D., Paradinas I., Lissardy M. and Liquet B. and published in Journal of Sea Research.

This file is an extraction from the SACROIS fisheries database created by Ifremer (for more information see https://sextant.ifremer.fr/record/3e177f76-96b0-42e2-8007-62210767dc07/) and from the Copernicus database. Biochemestry comes from the product GLOBAL_ANALYSIS_FORECAST_BIO_001_028 (https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=GLOBAL_ANALYSIS_FORECAST_BIO_001_028). Temperature and salinity comes from GLOBAL_ANALYSIS_FORECAST_PHY_001_024 product (https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=GLOBAL_ANALYSIS_FORECAST_PHY_001_024).

As fisheries landing per unit of effort is only available per ICES rectangle and by month, environmental data have been aggregated accordingly.

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# Colomns description #

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rectangle - The 6 ICES statistical rectangles used in the study.

time_m - Time in months, from the beginning to the end of the study.

annee = year

mois = month (from 1 to 12)

Poids = Weight of red mullet landed

valeur =

Temps_peche = fishing time

Nb_sequence = number of fishing sequences

Moy / Med / Var / StD Quartil_1 / Quartil_3 / min / max / CV / IQR = statistical descriptors of landing by rectangle and by month

log_cpue = log of Med colomn

mean_surface_s = mean of surface salinity by month and by rectangle

median_surface_s = median of surface salinity by month and by rectangle

mean_surface_t = mean of surface temperature by month and by rectangle

median_surface_t = median of surface temperature by month and by rectangle

si / zeu /po4 / pyc / o2/ nppv / no3 and nh4 mean and median concentration by rectangle and by month

pc3 / pc2 / pc1 - projections of previous biochemestry variables on the three first axes of a PCA

Licence CC-BY
Sensor metadata

SACROIS fisheries database created by Ifremer (for more information see https://sextant.ifremer.fr/record/3e177f76-96b0-42e2-8007-62210767dc07/)

Copernicus database. Biochemestry comes from the product GLOBAL_ANALYSIS_FORECAST_BIO_001_028 (https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=GLOBAL_ANALYSIS_FORECAST_BIO_001_028). Temperature and salinity comes from GLOBAL_ANALYSIS_FORECAST_PHY_001_024 product (https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=GLOBAL_ANALYSIS_FORECAST_PHY_001_024).

Data
File Size Format Processing Access
78596.csv 528 KB CSV Processed data Open access
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How to cite 

Kermorvant Claire, Caill-Milly Nathalie, Sous Damien, Paradinas Iosu, Lissardy Muriel, Liquet Benoit (2020). DATASET : Striped red mullet landing per unit of effort and environmental variables in the Bay of Biscay. SEANOE. https://doi.org/10.17882/77179