SPECIES-SPECIFIC MARINE HABITAT MAPS FROM HIGH-RESOLUTION, DIGITAL HYDROGRAPHIC DATA

We used high-resolution multibeam bathymetry, together with precisely geolocated (± 5m) ROV observations of fish distribution, to produce species-specific and genus-specific habitat suitability models for eight rockfish (Sebastes) species in the Del Monte shale beds of Monterey Bay, CA., USA. A high-resolution (2m) multibeam bathymetry digital elevation model (DEM) was generated and used to produce derived habitat characteristic layers [slope, rugosity, and Topographic Position Index, (TPI)] using repeatable, non-subjective algorithmic methods. These data layers, together with the positions and counts by species from 229 rockfish observations (2892 total fish) were then used to create predictive models of habitat suitability and fish distribution, as well as stock estimates for the study area. A second, independent fish observation data set was used to validate the models. Factors evaluated for incorporation in the models included depth, slope, rugosity, and TPI at various scales.