Data Management Plan

The critical habitat designation for yelloweye rockfish (Puget Sound/Georgia Basin DPS) includes areas deeper than 30 meters that contain or are adjacent to highly rugose habitat. The critical habitat designation includes the marine waters above (the entire water column) the deepwater areas.These data do not show U.S. Department of Defense (DOD) sites determined to be ineligible for designation nor excluded areas associated with Indian lands or certain additional DOD sites. No areas were excluded based on economic impacts. See the regulatory text in the final rule (79 FR 68042) for descriptions of ineligible and excluded areas.

Process Steps:

• 2013-06-04 00:00:00 - These data were created through a series of processing steps. The initial source data were a depth grid obtained from The Nature Conservancy in 2013. It is a compilation of depth data from 4 different source data sets. It included data from Tombolo / the Canadian Hydrographic Survey / NOAA (Aschoff et al., 2013), NOAA's National Geophysical Data Center (NGDC) Tsunami DEM (Lim et al., 2012), D. Finlayson's topography / bathymetry (2005), and NOAA's National Geophysical Data Center's (NGDC's Coastal Relief Model, 2003). Deepwater critical habitat designations are in 30 meter depths or deeper. The gridded depth data from The Nature Conservancy was used to generate a 30 meter depth contour. Using ArcGIS Advanced version 10.1, Spatial Analyst (an extension to ArcGIS), and the Benthic Terrain Modeler (BTM), also an extension to ArcGIS (Wright D.J., et al. 2012), the 30 meter grid was run through the Vector Ruggedness Measure (VRM) script resulting in a rugosity grid data set. These gridded rugosity values (30 meter resolution) were developed using a neighborhood analysis with a 3 grid cell neighborhood. The resultant rugosity values were grouped into two bins using the geometric interval method (Price, 2011). Rugosity values of 0.001703 or higher were deemed to be "high rugosity". They served as anchor points for deepwater critical habitat. Three geoprocessing generalization tools were used on the high rugosity areas to develop deepwater critical habitat designations. High rugosity grid cells were converted to polygons. Then, the Smooth Polygon tool with the polynomial approximation with exponential kernal smoothing algorithm was run on these polygons with a 600 meter tolerance. The results of this procedure were then buffered using 200 meters. The buffered results were aggregated using the "aggregate polygons" tool with an aggregation distance of 600 meters. In some cases, this last step produced very thin corridors between larger critical habitat designations. Where the corridors were less than 100 meters in width, they were eliminated. In the San Juan Islands area, rocky habitat was mapped by Greene et al. If these areas were not already included in the critical habitat designation, they were included in by either: 1) incorporating mapped rock into immediately adjacent deepwater critical habitat or 2) a 200-meter buffer was run on those rocky areas that were immediately adjacent to areas already defined as critical habitat and those buffered areas were included into deepwater critical habitat. NOAA Fisheries / WCR collected credible fish observations. In some instances, these points fell in locations that had not been captured in the designations in the previous steps. Where that was the case, the fish observation points were buffered by 200 meters and the resultant areas were incorporated into the final designation areas. Some additional steps were performed. Where there were small resultant non-adult critical habitat polygons that were 0.25 square miles in area or less in waters deeper than 30 meters and having low rugosity, these areas were incorporated into surrounding "deepwater" critical habitat.