The Bargip project : acquisition of scientific data and knowledge to produce advices on integrated management of European sea bass (Dicentrarchus labrax) in North-East Atlantic.

Modelled density of the seapen Kophobelemnon stelliferum in the North East Atlantic. The Random Forest density model trained on data collected by an ROV was constrained by an ensemble of Maxent and Random Forest presence-absence model trained on a larger dataset also collected by an ROV. This species provides structural complexity in an environment where it is lacking and, thus, promotes higher biodiversity where they settle. They are vulnerable to mechanical disturbance of the sediment by fishing gear and a better understanding of their distribution will lead to better management of their population. This work was performed at the University of Plymouth in 2021.

The associated data highlights the spatial influence of the dataset of the type “Visual Observations from an Aerial Platform” from the PELAGIS Observatory. These ranges represent the different areas of study on which the PELAGIS observatory conducted campaigns of visual observations from aerial platforms. Each area of study is associated with at least one campaign, with observers and geographical sectors linked to that campaign. Each sector is associated with bathymetric strips and transects related to each of the strips, with a few exceptions for the Indian Ocean region. Description of fields and values of the attribute tables : (- field name, meaning : value, description of values) - region, area of study specific to the PELAGIS observatory PELAGIS : OI/FRM/ AGFR/SOP/SP, region_lbl - programme, associated programme of which the campaign is a part: REMMOA/PACOMM, REcensement de la Mégafaune Marine par Observation Aérienne/Programme d'Acquisition sur les Oiseaux et Mammifères Marins - idCampagne, abbreviated name of the data collection campaign: OI/SAMM/ ANT/SOP/PF/GUY, Campagne Océan Indien/Suivi Aérien de la Mégafaune Marine/Sud Ouest Pacifique/Polynésie Française/ Guyane française - progress, current state of the campaigns, from collection to scientific optimisation : Preparation/Acquisition/ Analysis/Enhancement, campaign being prepared/under acquisition/being analysed/data enhanced within the context of a scientific publication.

SACROIS is a data crossing algorithm that produces professional fishing activity data series (validated, consolidated and qualified production and effort data) for the vessels registered in the Community Fishing Fleet (CFP) file. SACROIS selects the best of the available information sources to produce the reference fishing activity data. SACROIS consists of an operational application for reconciliation, verification and consistency checks of different unitary data streams. The SACROIS algorithm does not correct the data, its objective is to : - provide the best possible estimate of the various elements making up a tide from the available data sources - to identify the incompleteness of the various data sources and to propose a synthesis completed by indicators of data qualification resulting from the crossings. Twice a month, the SACROIS algorithm produces a new data source, a synthesis of all the available data sources: the reconstructed SACROIS tides. The SACROIS data have been calculated since 2000 for all fleets for which data are available: - North Sea - Channel - Atlantic (excluding tropical seiners), - Mediterranean (excluding bluefin seiners), - DOM (Reunion, Mayotte, French Guiana and the West Indies).

SWOT - the State of the World's Sea Turtles - is a partnership led by Marine Flagship Species Program at the Oceanic Society, Conservation International (CI), the IUCN Marine Turtle Specialist Group (MTSG), and supported by the OBIS-SEAMAP project at the Marine Geospatial Ecology Lab (MGEL), Duke University. This Database allows mapping marine turtle available data. Here is presented - the World Regional Managment Units for all species

The activity calendars of fishing vessels reconstituted each year provide access to the following monthly fishing data: main operating port, number of pepole on board, number of days at sea and of, trade (s) practiced ( s), exploited fishing areas and their distance from the coast. Annual data on the dimension and mesh size of the engines used to practice a trade are also provided.

The aim of these measures is to monitor the relative distribution and abundance of cetaceans and marine birds from Ifremer/IEO fisheries campaigns on board the Thalassa oceanographic vessel. These measures are also used to determine these predators’ favourite habitats thanks to the ecosystem approach of the campaigns (distribution and abundance of pelagic fish, plankton and physical parameters).

Species distribution models (GAM, Maxent, and Random Forest ensemble) predicting the distribution of Sea pens and burrowing megafauna assemblages in the Northeast Atlantic. This community is considered ecologically coherent according to the cluster analysis conducted by Parry et al. (2015) on image samples. Modeling its distribution complements existing work on their definition and offers a representation of the extent of the areas of the North East Atlantic where they can occur based on the best available knowledge. This work was performed at the University of Plymouth in 2021.