Skip to main content

IMIS

A new integrated search interface will become available in the next phase of marineinfo.org.
For the time being, please use IMIS to search available data

 

[ report an error in this record ] Print this page

Pelfish: Predictive modelling of the distribution of pelagic fish species in the BPNS
Citation
Standaert, W.; Musimwa, R.; Stevens, M.; Alonso, J.; Muñiz, C.; Debusschere, E.; Pint, S.; Everaert, G.; Flanders Marine Institute: Belgium; (2024). Duurzame economische dragers in Vlaamse kustvisserijgemeenschappen post-Brexit (PelFish). https://marineinfo.org/id/dataset/8450

Availability: Creative Commons License This dataset is licensed under a Creative Commons Attribution 4.0 International License.

Description

Ecological modelling techniques applied on the data collected for the prediction of future scenarios in the BPNS.


Three different methodologies where used: 

  • Mechanistic approach: Habitat suitability maps for the pelagic fish with an emphasis on the Belgian part of the North Sea. The modelling technique used was the mechanistic approach.
  • Data driven approach: It utilizes maximum entropy modelling to derive species-environment relations. Biological input data was derived from ICES International bottom trawl surveys, International herring larvae surveys and Mackerel and Horse Mackerel Egg surveys. Environmental layers were derived from CMEMS (https://doi.org/10.48670/moi-00021, https://doi.org/10.48670/moi-00058, https://doi.org/10.48670/moi-00020) and EMODNet
  • Climate-induced habitat suitability maps, delving deep into the intricate relationships between changing environmental conditions and the distribution of pelagic fish.

 


Scope
Themes:
Biology, Biology > Acoustics, Biology > Ecology - biodiversity, Biology > Fish, Biology > Fish > Pelagic fish, Fisheries
Keywords:
Marine/Coastal, Atlantic mackerel, Climate change ecology, Ecological modelling, Ecosystem modelling, Fisheries development, Fisheries ecosystem, Marine fauna, Ocean modelling, Predictive modelling, Twaite shad, A, North Atlantic, ANE, Belgium, Alosa fallax (Lacepède, 1803), Clupea harengus Linnaeus, 1758, Dicentrarchus labrax (Linnaeus, 1758), Scomber scombrus Linnaeus, 1758, Scomber scombrus Linnaeus, 1758

Geographical coverage
A, North Atlantic [Marine Regions]
ANE, Belgium [Marine Regions]

Temporal coverage
1 January 2023 - 31 December 2023

Target species
Alosa fallax (Lacepède, 1803) [WoRMS]
Clupea harengus Linnaeus, 1758 [WoRMS]
Dicentrarchus labrax (Linnaeus, 1758) [WoRMS]
Scomber scombrus Linnaeus, 1758 [WoRMS]
Scomber scombrus Linnaeus, 1758 [WoRMS]

Parameter

Contributors
Vlaams Instituut voor de Zee (VLIZ), moredata creatororganiserprincipal investigator

Related datasets
Parent dataset:
PelFish: Sustainable economic carriers in Flemish coastal fishing communities post-Brexit, more
Child datasets:
Climate-Induced Habitat Suitability Modelling for Pelagic Fish in European Seas, more
Environmental variables used to model the distribution of pelagic fish species (Atlantic herring, Atlantic mackerel and European seabass) using a mechanistic approach., more
Predictive modelling of Atlantic herring distribution in the Northeast Atlantic for informed decision-making. Dataset and calculations, more
Other relation:
Predictive modelling of Atlantic herring distribution in the Northeast Atlantic for informed decision-making. Dataset and calculations, more

Project
BAR PelFish: Post-brexit coastal pelagic fisheries, more

Dataset status: In Progress
Data type: Data products
Data origin: Research: field experiment
Metadatarecord created: 2023-12-14
Information last updated: 2024-06-14
All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy