Modeling the spatial distribution and abundance of deep‐water red shrimps in the Mediterranean Sea: a machine learning approach
Elena Catucci(University of Rome Tor Vergata), Tommaso Russo(University of Rome Tor Vergata), Giulia Cipriano(University of Bari Aldo Moro), Roberto Carlucci(CoNISMa), Sergio Vitale(National Biodiversity Institute), Ίριδα Μάινα(Hellenic Centre for Marine Research), Gianpiero Cossarini(National Institute of Oceanography and Applied Geophysics), Chryssi Mytilineou(Hellenic Centre for Marine Research), Federico Quattrocchi(National Research Council), Simone Libralato(National Institute of Oceanography and Applied Geophysics), Fabio Fiorentino(Institute for Coastal Marine Environment), Stefanos Kavadas(Hellenic Centre for Marine Research), Diego Panzeri(National Institute of Oceanography and Applied Geophysics), Germana Garofalo(Institute for Coastal Marine Environment)
Cited by 3
Related Papers
Heavy metals concentrations in some commercially key species from Sicilian coasts (Mediterranean Sea): Potential human health risk estimation
|Ecotoxicology and Environmental Safety|2018|185
Hazardous properties and toxicological update of mercury: From fish food to human health safety perspective
|Critical Reviews in Food Science and Nutrition|2017|103
Improving the Conservation of Mediterranean Chondrichthyans: The ELASMOMED DNA Barcode Reference Library
|PLoS ONE|2017|93
Abundances of Demersal Sharks and Chimaera from 1994-2009 Scientific Surveys in the Central Mediterranean Sea
|PLoS ONE|2013|73
Directional bilateral asymmetry in otolith morphology may affect fish stock discrimination based on otolith shape analysis
|ICES Journal of Marine Science|2018|72