1.- Predict. of European hake (Merluccius Merluccius) recruits.
European hake (Merluccius Merluccius) recruits data were collected during the scientific survey series "DEMERSALES" by the "Instituto Español de Oceanografía" (IEO). [+] content
This dataset was carried out in autumn (September to October) from 1997 to 2016. The DEMERSALES project used a stratified sampling design based on depth with 3 bathymetric strata: 70-120 m, 121-200 m, 201-500 m. Recruits (individuals under 21 cm) are considered as the total number of individuals by square kilometre. This dataset was combined with environmental data using hurdle Bayesian hierarchical spatio-temporal models. Six environmental variables were considered as potential predictors of recruits’ distribution, such as sea surface temperature (°C), chlorophyll-a concentration (mg/m-3), sea surface salinity (PSU), bathymetry (in meters), slope (in degrees) and rugosity (in meters).
2.- Prediction of Norway lobster (Nephrops norvegicus) recruit suitability habitats in the Porcupine bank.
Norway lobster (Nephrops norvegicus) is a decapod species with a patchy distribution on the continental shelf and upper slope in the Northeast Atlantic. [+] content
Recruits data was collected during the Spanish Groundfish Survey in the Porcupine bank from 2001 to 2016 (September-October). This survey is organized and directed by Spanish Oceanography Institute. Porcupine Bank is an area of the Irish shelf, on the fringes of the Atlantic Ocean approximately 200 kilometres (120 mi) west of Ireland. For modeling, recruits data (individuals < 21mm) of the Norway lobster were combined with environmental predictors (e.g. sea bottom temperature, bathymetry, slope, rugosity and orientation of the seabed) using Random Forest models to identify recruit suitability habitats. Worth to be noted that during the period 2005-2008 no recruits was caught during the surveys.
3.- Prediction of the Anthoptilum sp. deep-water pennatulacea coral suitability habitat in Flemish Cap.
A10-yr period (2007-2017) of a bottom trawl scientific survey was used to estimate and predict the suitability habitat of the Anthoptilum sp. deep-water pennatulacean coral for Flemish Cap. [+] content
This survey is organized and directed by the Long Distance Fisheries Department of the Vigo Oceanographic Center of the Spanish Oceanography Institute. The Flemish Cap is an area of shallow waters in the north Atlantic Ocean centered roughly at 47° north, 45° west or about 563 km (350 miles) east of St. John+s, Newfoundland and Labrador. For modeling, occurrence data of this vulnerable species were combined with several environmental variables (i.e. bathymetry, sea bottom temperature, sea bottom salinity, slope, rugosity, aspect of the seabed) using Bayesian hierarchical spatial-temporal models. In particular, aspect distinguishes the orientation of the seabed at any location and supplies information on the exposure of a specific area to local and regional currents. It is computed in radians and separated into two components: North-South and East-West gradient, which vary between +1 and +1 describing the direction that the surface slope faces. The rugosity index provides a measure of the complexity of the seafloor and emphasizes small variations in the seabed terrain. Low values of rugosity imply soft seabeds while high values indicate rocky substratum. These parameters are largely used as predictors of species distribution when detailed information on sediment type is not available.
4.- Prediction of thorny skate (Amblyraja radiate) biomass and habitat suitability.
The thorny skate (Amblyraja radiate) abundance data was collected during the “PLATUXA” scientific survey from 2003 to 2014. This survey is organized and directed by the Long Distance Fisheries Department of the Vigo Oceanographic Center of the Spanish Oceanography Institute. [+] content
The survey takes place in the area known as the tail of the Grand Bank, right outside the Canadian ZEE, area NAFO 3NO. This dataset was combined with environmental variables using Bayesian hierarchical spatial-temporal model in order to identify the abundance hot-spots of this vulnerable species. For modeling, both oceanographic (sea bottom temperature) and physical (bathymetry, slope, aspect and rugosity of seabed) variables were used as predictors for the thorny skate biomass and habitat suitability. In particular, aspect distinguishes the orientation of the seabed at any location and supplies information on the exposure of a specific area to local and regional currents. It is computed in radians and separated into two components: North-South and East-West gradient, which vary between +1 and +1 describing the direction that the surface slope faces. The rugosity index provides a measure of the complexity of the seafloor and emphasizes small variations in the seabed terrain. Low values of rugosity imply soft seabeds while high values indicate rocky substratum. These parameters are largely used as predictors of species distribution when detailed information on sediment type is not available.
Objective: to contribute to the chain extractive fishing real solutions, efficient and economically feasible to make possible a use of discards, and in this way contribute to the improvement of the sector in tems of the competitiveness.
They have selected multiple uses, which are described in this section.