/Biological Environment/Species/Fish Species of Commercial Interest
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Polygons which delimited the geographical studied area of the CHARM I project and the CHARM II project. Polygons which delimited the geographical suggested area of the CHARM III project.
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Modelised abundance of species or prediction uncertainty.
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Modelised abundances of several species in coastal nurseries or prediction uncertainty.
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These maps represent the monthly probability of being a seabass spawning area for each month of the spawning season (January to April), and the mean probability of being a seabass spawning area over all spawning months in the English Channel - Celtic Sea. These probability maps were calculated by performing a geostatistical analysis of fishing data from geolocated vessels, and have a spatial resolution of 3 by 3 nautical miles.
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These maps represent the monthly probability of being a seabass spawning area for each month of the spawning season (January to March), and the mean probability of being a seabass spawning area over all spawning months in the Bay of Biscay. These probability maps were calculated by performing a geostatistical analysis of fishing data from geolocated vessels, and have a spatial resolution of 3 by 3 nautical miles.
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Localisation of the 39 sampled sites done during the BCD survey in April 1999.
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Modelised adundance of several species eggs or prediction uncertainty.
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Biologic data have been expressed in abundance (numbers or density values (nbr/km²)) and always required to be log-transformed using a log10(x+1) transformation. Abundance mean (mean) and standard deviation (st) have been calculated.
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Modelised abundance of species or prediction uncertainty.
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Biologic data have been expressed in abundance (numbers or density values (nbr/km²)) and always required to be log-transformed using a log10(x+1) transformation. Abundance mean (mean) and standard deviation (st) have been calculated. The sum of the kriging error for each yearly kriged abundance fits to the kriging error (v).