20230405 vector digital data https://wildlife.ca.gov/Data/BIOS https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3000_3099/ds3091.zip This datasets uses rugosity measurements collected during the California Seafloor Mapping Project (CSMP) as a proxy to classify benthic habitat as either 'Hard' or 'Soft'. While originally developed for MPA planning and MLPA implementation, this dataset provides a comprehensive estimate of benthic habitat for California waters. The data is provided in a vector format for visualization and analysis. Substrate classifications are binned into depth ranges and 1 degree latitude/longitude grids. Note: The resolution of substrate classifications are variable. For best viewing, it is recommended to download the data locally.  Attributes: Sub: Substrate classification of 'Hard' or 'Soft' benthic habitat. X: Longitude centroid of one-degree grids used to bin classification in Decimal Minute Degrees. Y: Latitude centroid of one-degree grids used to bin classification in Decimal Minute Degrees. Zone: Depth range used to bin classifications. Data shown here were gathered through a comprehensive state waters mapping program managed by the California State Coastal Conservancy, Ocean Protection Council, California Department of Fish and Wildlife, and the NOAA National Marine Sanctuary Program. The ultimate goal of this program was the creation of a high-resolution 1:24,000 scale geologic and habitat base map series covering all of California's 14,500 km2 state waters out to the 3 mile limit. The benthic substrate classifications provided here are not derived through traditional geologic interpretations, but are algorithmically defined using seafloor roughness (rugosity analysis) as a proxy for determining areas likely to consist of rocky reef with significant relief and sandy bottoms with lower relief. This method was used for the practical purposes of broadly generalizing habitats for MPA planning and expedient delivery of information to the Marine Life Protection Act (MLPA) Initiative process. For the sake of simplicity, the categories are called "hard" and "soft", however the limitations of the classification methods should be considered when using these terms. Note that results derived using the approach above may be confounded by factors including noise and artifacts from the original mapping data, steep slopes, and unusual geomorphic features. One consideration is that some areas where rocky bottom occurs may be underestimated by the "rough" category, including canyon slopes, deep water, and rock that is smooth, plateau-like, and/or lightly draped with sediment. The original resolution of the data collected was variable and should not be considered equal throughout the layer. For example, many areas but not all, include 2m resolution data, however, cell size increases proportionally with depth with some areas using up to 10m resolution in state water and 15m resolution where additional NOAA National Ocean Service data was used to fill in some areas of federal waters. In addition, areas of data gaps in the shallow "white zone" were filled using an IDW process with a power of 0.5 with 30 m pixels. The interpolation was made between linear shoreline data classified from NOAA Environmental Sensitivity Index data and the subtidal seafloor mapping data used to classify the offshore area. Complete As needed None Marine, CDFW, Habitat, Benthic Habitat, Substrate ISO 19115 Topic Categories oceans elevation None California None License:This work is licensed under Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). Using the citation standards recommended for BIOS datasets (https://www.wildlife.ca.gov/Data/BIOS/Citing-BIOS) satisfies the attribution requirements of this license.Disclaimer:The State makes no claims, promises, or guarantees about the accuracy, completeness, reliability, or adequacy of these data and expressly disclaims liability for errors and omissions in these data. No warranty of any kind, implied, expressed, or statutory, including but not limited to the warranties of non-infringement of third party rights, title, merchantability, fitness for a particular purpose, and freedom from computer virus, is given with respect to these data. California Department of Fish and Wildlife Marine Region GIS mailing and physical

20 Lower Ragsdale Drive, Suite 100

Monterey CA 93953 US (831) 649-7143 r7mrgis@wildlife.ca.gov California Department of Fish and Wildlife Marine Region GIS mailing and physical

20 Lower Ragsdale Drive, Suite 100

Monterey CA 93953 US (831) 649-7143 r7mrgis@wildlife.ca.gov California Department of Fish and Wildlife Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270 Vector GT-polygon composed of chains 0 NAD 1983 California Teale Albers 34.0 40.5 -120.0 0.0 0.0 -4000000.0 coordinate pair 0.0001 0.0001 meter D North American 1983 GRS 1980 6378137.0 298.257222101 ds3091 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. zone Depth range used to bin classifications. X Longitude centroid of one-degree grids used to bin classification in Decimal Minute Degrees. Y Latitude centroid of one-degree grids used to bin classification in Decimal Minute Degrees. shape Feature geometry. ESRI Coordinates defining the features. Sub Sub: Substrate classification of 'Hard' or 'Soft' benthic habitat. Shape_Length Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20230420 California Department of Fish and Wildlife Marine Region GIS mailing and physical

20 Lower Ragsdale Drive, Suite 100

Monterey CA 93953 US (831) 649-7143 r7mrgis@wildlife.ca.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time