Bathymétrie - Arc Antillais : compilation de données bathymétriques de sondeur multifaisceau, résolution 1/16 arc minute.Restriction : le MNT recouvre largement les ZEE des états de la région. Le produit n'est pas diffusable.Traitements réalisés :Depuis le début des années 1990, l’exploration scientifique de l’arc antillais a été l’opportunité d’une acquisition régulière de données de bathymétrie par sondeurs acoustiques multifaisceaux. Une…

Modelised abundance of species or prediction uncertainty.

Modelised abundance of species or prediction uncertainty.

Fish larvae were collected during the night using a MIK (Methot Isaac Kidd) net (2m diameter, 500 um mesh). Abundances were expressed in term of number of individuals per 5000 cubic meter (ind.5000m-3). For clupeidae (herring and pilchard), gobiidae and ammodytidae, abundances were log-transformed (log10(x+1)) prior to analysis whereas for pleuronectidae and syngnathidae, abundances were recoded in term of presence-absence.

Biological data have been expressed in abundance (number of individuals per 20 m3). Kriging error (v) resulting from the interpolation of these data was maped.

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.

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.

Species habitat occupation, observed during the third quarter IBTS from 1991 to 2010, has been expressed as rare, occasional, frequent, recurrent depending on density levels and variability over time.

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…

Species habitat occupation has been expressed as rare, occasional, frequent, recurrent depending on density levels and variability over time.

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.

Fish larvae were collected during the night using a MIK (Methot Isaac Kidd) net (2m diameter, 500 um mesh). Abundances were expressed in term of number of individuals per 5000 cubic meter (ind.5000m-3). For clupeidae (herring and pilchard), gobiidae and ammodytidae, abundances were log-transformed (log10(x+1)) prior to analysis whereas for pleuronectidae and syngnathidae, abundances were recoded in term of presence-absence.

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.

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.

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.

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.

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.

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.

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.

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.