CEFAS002241a1-72c4-4d8b-afc0-ea7f5da1319b English dataset Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk pointOfContact 2025-04-04T01:29:48 EPSG Geodetic Parameter Registry 2022-01-07 revision WGS 84 Ecosim outputs from Mediterranean model - used to look at potential impact of non-native species - Fizzyfish work package 2 Fizzyfish 2017-10-04 publication 2025-04-04 revision 2013-09-09 creation CEFAS2841 https://data.cefas.co.uk Outputs from Bay of Calvi Ecosim model- used to look at potential impact of non-native species. Biomasses of organisms at the start of simulations and those after 100 years, assuming different population growth trajectories for the alien fish species Fisurella. Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk originator Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk custodian Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk distributor Department for Environment, Food and Rural Affairs (DEFRA) defra.helpline@defra.gov.uk owner asNeeded Bacterial production in the water column Fauna abundance per unit area of the bed Phytoplankton generic abundance in water bodies Primary production in the water column Zooplankton wet weight biomass Fish abundance in water bodies Fish and shellfish catch statistics Fish biomass in water bodies Fishing by-catch Invasive species monitoring parameters SeaDataNet P02 parameter discovery vocabulary 2011-03-25 revision Benthos Plankton Model Modelling Food Human impacts Stock (biological) Biodiversity Ecosystem GEMET, version 1.0 2008-06-01 publication Biota abundance, biomass and diversity Phytoplankton Zooplankton Fish Fisheries Birds, mammals and reptiles SeaDataNet P03 parameter discovery vocabulary 2011-03-25 revision Species distribution GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Littoral Infralittoral Upper epipelagic Epipelagic SeaVoX Vertical Co-ordinate Coverages 2010-05-18 revision Marine Environmental Data and Information Network MEDIN metadata record availability 2012-01-11 publication data.gov.uk MEDIN metadata record availability 2012-01-11 publication otherRestrictions noLimitations otherRestrictions Public data - no limitations to reuse English biota 8.00 9.00 42.50 43.00 2013-03-06 2017-05-30 Unknown https://data.cefas.co.uk/view/2841 Cefas Data Portal information The Cefas Data Portal contains metadata records and data sets available to download and connect to in support of our commitment to open science. dataset INSPIRE Data Specification on Species Distribution – Technical Guidelines 2013-12-10 publication false See the referenced specification Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 publication true See the referenced specification The Bay of Calvi model is composed of 27 compartments, including seabirds, 11 groups of fish, 12 groups of invertebrates, 2 primary producers, bacteria and detritus, as well as a single commercial fishing fleet. A new functional group has been added to the EwE model to represent **F. commersonii**. This was assigned avery low biomass (0.005 t/km) in the first instance. The new Ecopath food-web was used to conduct dynamic simulations in Ecosim whereby the biomass of **F. commersonii **was steadily ‟forced‟ upward over time(using the in-built ‟fitting‟ routine) to investigate the indirect consequences for the wider food-web, but also the impact on commercial fisheries in the Bay of Calvi. A number of different ‟forcing‟ scenarios were tested, firstly a 4% year-on-year increase in F. commersonii was tested but also a 6% and 8% increase for the full 100 years. MEDIN 3.1.1