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.

Modelised adundance of several species eggs or prediction uncertainty.

Biological data have been expressed in abundance (number of individuals per 20 m3).

Modelised abundances of several species in coastal nurseries or prediction uncertainty.

Modelised abundance of species or prediction uncertainty.

Three environmental parameters were measured in situ during the REISE2 survey in April 1995. Temperature and salinity were measured using a probe. Fluorescence (mean for the water column) was measured using a fluorometer. This survey gives illustration of spring conditions.

Biological data have been expressed in abundance (number of eggs per 20 m3) and always required to be log-transformed using a log10(x+1) transformation.

Abundances were recoded in term of presence-absence. Geostatistical interpolation : the spatial variation of biological data were analysed using GENSTAT (GENSTAT 7 Committee, 2004), which is a GENeral STATistics package including the main geostatistical tools. It computes experimentala variograms, fits these with various authorised mathematical models and uses them to calculate kriged estimates on a fine regular grid (of latitudes and longitudes). The grid of points was imported into ArcMap and interpolated with the Spatial Analyst extension in order to create a continuous raster of 1 km² resolution. The resulting maps illustrate the spatial distributions and the variations over time for biological data studied in CHARM's area. For legends of maps, approximates of the 5th and the 95th quantiles were used for the minimales and maximales values respectively.

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.

Modelised abundance of species or prediction uncertainty.