biota
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Species distribution models (GAM, Maxent and Random Forest ensemble) predicting the distribution of discrete Lophelia pertusa - Desmophylum pertusum colonies assemblage in the Celtic Sea. This community is considered ecologically coherent according to the cluster analysis conducted by Parry et al. (2015) on image samples. Modelling 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.
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The observation of sales consists of periodically measuring the size of individuals of the main species at auctions and landing points, taking into account the commercial names used at the point of sale. This system, called ObsVentes, is applied in metropolitan France and in the French overseas territories : Guyane, Guadeloupe, Martinique, Réunion and Mayotte.
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Stocks of Crepidula fornicata Linnaeus, 1758 in the Pertuis Charentais. Environmental state for 2011
Stocks (abundance and biomass) of the slipper limpet Crepidula fornicata Linnaeus, 1758 in the Pertuis Charentais shallows were estimated in 2011 and mapped (Sauriau et al., 2011). The influence of the estimate includes the Pertuis Breton, the eastern part Pertuis Antioch Fouras peninsula and the Bay of Marennes-Oléron where the latter earlier estimates are available. Contours and surface areas of the crepidula were previously determined by acoustic imaging performed aboard the VO/Haliotis in 2008 and 2009, interpreted and validated by spot sampling in 2009 (Curti, 2009). Sampling stocks of 2011 is based on a stratified random sample of 40 banks with a proportional distribution of sampling of 200 stations between banks. The listing for each crepidula bank stocks (abundance in millions, biomass in tonnes) both living and dead, these shells may provide support to potential new colonization.
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Occurrence rate by observation number for 100km of effort in each 40km mesh in the French mainland EZE in the winter of 2011/2012 and the summer of 2012. Description of the attribute table: survey : campaign Type: observation type Mesh: mesh size in kilometers _no_maille : mesh number The following fields correspond to the calculation of the occurrence rate for the observation number for 1000km of effort for each species or group of species : - [marsouin] common porpoise - [grdDauph] bottlenose dolphin - [lagenor] White-beaked dolphin - [pttDelph] : common dolphin and Striped dolphin - [globiceph] : Long-finned pilot whale + Risso's dolphin - [cakobab] : Sperm whale+ kogias + Beaked whales - [balenopt] : Fin whale + Minke whale + blue whale - [phoque] seal (grey + harbour)
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The "Fishing trips" data in the declarative flow correspond to the catch and fishing effort data declared by the professionals in the logbooks for vessels whose overall length is greater than or equal to 10 metres, and the fishing sheets for vessels whose overall length is less than 10 metres.
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The "Sales" data in the declarative flow contain mainly auction sales data and some non-exhaustive data on non-auction sales.
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ICES database of trawl surveys
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The dataset includes age- and length-based catch per unit effort data for commercial fish species collected by the French trawl survey EVHOE.
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The effect of Maerl extraction on Benthic Communities in the Glénan Archipelago.
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Classification of the seabed in the Atlantic Ocean into broad-scale benthic habitats employing a non-hierarchical top-down clustering approach aimed at informing Marine Spatial Planning. This work was performed at the University of Plymouth in 2021 with data provided by a wide group of partners representing the nations surrounding the Atlantic Ocean. It classifies continuous environmental data into discrete classes that can be compared to observed biogeographical patterns at various scales. It has 3 levels of classification. The numbers in the raster layer correspond to individual classes. Description of these classes is given in McQuaid, K.A. et al. (2023).