Attribute_Accuracy:
Attribute_Accuracy_Report:
A multi-stage error checking process is used to verify both attribute accuracy and logical consistency throughout data production. The process includes a standardized data entry methodology, data review by in-house and external resource experts, a final Quality Assurance/Quality Control (QA/QC) process, and multiple automated logical consistency checks. Quantitative data (such as densities, counts, abundances, or concentrations) provided by resource experts for inclusion in the data set may vary widely in attribute accuracy, depending upon the methodology used to collect and compile such data. For a more detailed evaluation of source data attribute accuracy, contact the sources listed in the Lineage section.
Logical_Consistency_Report:
A multi-stage error checking process, described in the above Attribute_Accuracy_Report, is used to verify both attribute accuracy and logical consistency throughout data production. This process includes multiple automated logical consistency checks that test the files for missing or duplicate data, rules for proper coding, GIS topological consistencies, and SQL SERVER(R) to ArcGIS(R) consistencies. A final review is made by the ESI manager, where the data are written to CD-ROM and the metadata are written. After the data are delivered to NOAA, they are again subjected to a number of quality and consistency checks. In the process of checking for topological and database consistencies, new ID's and RARNUM's or HUNUM's are also generated, while retaining the original RARNUM or HUNUM stored as MAPRAR and MAPHUN, respectively. The new ID's are a combination of atlas number, element number, and record number. In addition, the value used to represent the element is modified to reflect the type of feature being mapped. In the case of an element that is normally represented by a point or polygon, a value of 20 is added to the standard element value for mapping of linear features. In the case where an element usually mapped as a polygon is represented by a point, a value of 30 is added to the regular element value. The RARNUM's are also modified to include the atlas number, so multiple atlases can be combined and RARNUM's remain unique. RARNUM's are redefined on an element basis, so "resources at risk" groupings will contain only a single element. HUNUM's are also modified to include the atlas number.
Completeness_Report:
These data represent a synthesis of expert knowledge, documents, maps, and digital data on marine mammal distributions. These data do not necessarily represent all marine mammal occurrences in BSEE Pacific. The following species are included in this data set: (Species_ID, Common Name, Scientific Name [n/a if not applicable]): 1, Steller sea lion, Eumetopias jubatus; 2, Harbor seal, Phoca vitulina; 3, Northern fur seal, Callorhinus ursinus; 4, Killer whale, Orcinus orca; 6, Harbor porpoise, Phocoena phocoena; 11, Fin whale, Balaenoptera physalus; 12, Minke whale, Balaenoptera acutorostrata; 13, Humpback whale, Megaptera novaeangliae; 17, Bottlenose dolphin, Tursiops truncatus; 19, Short-finned pilot whale, Globicephala macrorhynchus; 20, Northern right-whale dolphin, Lissodelphis borealis; 22, California sea lion, Zalophus californianus; 23, Guadalupe fur seal, Arctocephalus townsendi; 24, Northern elephant seal, Mirounga angustirostris; 26, Gray whale, Eschrichtius robustus; 27, Sei whale, Balaenoptera borealis; 29, Blue whale, Balaenoptera musculus; 45, Pacific white-sided dolphin, Lagenorhynchus obliquidens; 46, Risso's dolphin, Grampus griseus; 47, Dall's porpoise, Phocoenoides dalli dalli; 48, Sperm whale, Physeter macrocephalus; 60, Short-beaked common dolphin, Delphinus delphis; 88, Bryde's whale, Balaenoptera edeni; 98, Baird's beaked whale, Berardius bairdii; 100, Striped dolphin, Stenella coeruleoalba; 106, Long-beaked saddleback dolphin, Delphinus capensis; 107, North Pacific right whale, Eubalaena japonica; 114, Kogia spp., Kogia spp.; 117, Southern sea otter, Enhydra lutris nereis; 1005, Mesoplodont beaked whales, Mesoplodon spp.; 1009, Goose-beaked whales, Ziphius spp..
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Spatial components for the biological data layers can come from expert interviews, hardcopy, or digital sources. Some of the spatial components of the biological data layers may have been developed using regional experts who estimate concentration areas. It is difficult to estimate the positional accuracy of such data, except to state that they are compiled on hardcopy base maps with a scale of 1:1,000,000. Some of the spatial components of the biological data sets are developed from pre-existing digital or hardcopy sources and reflect the positional accuracy of these original data. Note that biological resource data by their very nature are considered "fuzzy", and this should be understood when considering the positional accuracy of vector digital objects representing these resources. See the Lineage and Process_Description sections for more information on the original source data and how these data were integrated or manipulated to create the final data set.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
CALAMBOKIDIS J, KRATOFIL MA, PALACIOS DM, LAGERQUIST BA, SCHORR GS, HANSON MB, BAIRD RW, FORNEY KA, BECKER EA, ROCKWOOD RC AND HAZEN EL
Publication_Date: 2024
Title:
BIOLOGICALLY IMPORTANT AREAS II FOR CETACEANS WITHIN U.S. AND ADJACENT WATERS - WEST COAST REGION
Geospatial_Data_Presentation_Form: DOCUMENT
Other_Citation_Details: doi: 10.3389/fmars.2024.1283231
Online_Linkage: https://oceannoise.noaa.gov/biologically-important-areas
Type_of_Source_Media: ONLINE
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2024
Source_Currentness_Reference: DATE OF PUBLICATION
Source_Citation_Abbreviation: NONE
Source_Contribution: M_MAMMAL INFORMATION
Source_Information:
Source_Citation:
Citation_Information:
Originator:
E.A. BECKER, K.A. FORNEY, B.J. THAYRE, K. WHITAKER, R. HOOPES, J.M. JONES, J.A. HILDEBRAND, AND J.E. MOORE
Publication_Date: 2024
Title:
EVALUATING SEASONAL VS. SPATIAL EXTRAPOLATION FOR CETACEAN DISTRIBUTION MODELS IN THE CALIFORNIA CURRENT
Geospatial_Data_Presentation_Form: TABULAR DIGITAL DATA
Other_Citation_Details: UNPUBLISHED, IN PREP.
Type_of_Source_Media: EMAIL
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2024
Source_Currentness_Reference: DATE OF ACCESS
Source_Citation_Abbreviation: NONE
Source_Contribution: M_MAMMAL INFORMATION
Source_Information:
Source_Citation:
Citation_Information:
Originator: ELIZABETH BECKER, MIKE ZICKEL
Publication_Date: 2024
Title:
U.S. NAVY MARINE SPECIES DENSITY DATABASE PHASE IV FOR THE HAWAII-CALIFORNIA TRAINING AND TESTING STUDY AREA: TECHNICAL REPORT
Geospatial_Data_Presentation_Form: DOCUMENT
Publication_Information:
Publication_Place: PEARL HARBOR, HI
Publisher: U.S. PACIFIC FLEET ENVIRONMENTAL READINESS DIVISION
Type_of_Source_Media: EMAIL
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2024
Source_Currentness_Reference: DATE OF PUBLICATION
Source_Citation_Abbreviation: NONE
Source_Contribution: M_MAMMAL INFORMATION
Source_Information:
Source_Citation:
Citation_Information:
Originator: HATFIELD BB, YEE JL, KENNER MC, TOMOLEONI JA
Publication_Date: 2019
Title:
ANNUAL CALIFORNIA SEA OTTER CENSUS: 2019 CENSUS SUMMARY SHAPEFILE
Geospatial_Data_Presentation_Form: VECTOR DIGITAL DATA
Publication_Information:
Publication_Place: DENVER, CO
Publisher: U.S. GEOLOGICAL SURVEY DATA RELEASE
Online_Linkage: https://doi.org/10.5066/P9B2KNB3
Type_of_Source_Media: ONLINE
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2019
Source_Currentness_Reference: DATE OF SURVEY
Source_Citation_Abbreviation: NONE
Source_Contribution: M_MAMMAL INFORMATION
Source_Information:
Source_Citation:
Citation_Information:
Originator: KARIN FORNEY AND ELIZABETH BECKER
Publication_Date: 2022
Title:
HARBOR PORPOISE - ANNUAL DENSITY - U.S. NAVY - CALIFORNIA PORTION OF THE HCTT STUDY AREA
Geospatial_Data_Presentation_Form: VECTOR DIGITAL DATA
Publication_Information:
Publication_Place: NEWPORT, RI
Publisher: U.S. NAVY
Other_Citation_Details: COLLECTION TITLE: GLOBAL NAVY MARINE SPECIES DENSITY DATABASE
Type_of_Source_Media: EMAIL
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2022
Source_Currentness_Reference: DATE OF PUBLICATION
Source_Citation_Abbreviation: NONE
Source_Contribution: M_MAMMAL INFORMATION
Source_Information:
Source_Citation:
Citation_Information:
Originator: KARIN FORNEY, NOAA
Publication_Date: 2024
Title: CETACEANS OF THE PACIFIC OUTER CONTINENTAL SHELF
Geospatial_Data_Presentation_Form: EXPERT KNOWLEDGE
Other_Citation_Details: UNPUBLISHED
Type_of_Source_Media: EMAIL
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2024
Source_Currentness_Reference: DATE OF COMMUNICATION
Source_Citation_Abbreviation: NONE
Source_Contribution: M_MAMMAL INFORMATION
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. FISH AND WILDLIFE SERVICE
Publication_Date: 2021
Title:
SOUTHERN SEA OTTER (Enhydra lutris nereis) STOCK ASSESSMENT REPORT
Geospatial_Data_Presentation_Form: DOCUMENT
Publication_Information:
Publication_Place: VENTURA, CA
Publisher: U.S. FISH AND WILDLIFE SERVICE
Online_Linkage:
Type_of_Source_Media: ONLINE
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2021
Source_Currentness_Reference: DATE OF PUBLICATION
Source_Citation_Abbreviation: NONE
Source_Contribution: M_MAMMAL INFORMATION
Process_Step:
Process_Description:
Three main sources of data were used to depict sea turtle distributions and seasonalities for this data layer: 1) published data and reports, 2) unpublished, in prep. data, and 3) personal interviews with resource experts from NOAA NMFS and USGS.
ESA-listed cetaceans were mapped using a combination of seasonal density models, annual models, the U.S. Navy Marine Species Density Database, and expert knowledge. For species with seasonal density models available (blue whale, fin whale, and humpback whale), predicted densities for each season (March through June, July through November, and December through February) were mapped for each species. Predicted densities were divided into high, medium, and low concentrations based on species-specific percentiles applied to modeled density values throughout the Pacific OCS. The percentiles used for each species to determine the high, medium, and low concentrations were chosen by resource experts, so each species had meaningful polygons of high, medium, and low ESI concentrations within the ESI AOI. The high, medium, and low ESI polygons for each species for each season were assigned concentrations that reported the ranges of numbers of individuals per XX km2. An annual model was used to map sperm whale, with predicted densities divided into high and low concentrations, per expert guidance. The sperm whale high and low ESI polygons were assigned concentrations that reported the ranges of numbers of individuals per 10,000 km2. North Pacific right whale was mapped to a polygon that covered the entire AOI using expert knowledge, and sei whale was mapped to the entire AOI with an ESI concentration that reported the density of individuals from the Navy Marine Species Density Database.
Non-listed cetaceans were mapped using a combination of seasonal density models, newly defined Biologically Important Areas (BIA II), the U.S. Navy Marine Species Density Database, other published reports, and expert knowledge. For species with seasonal density models available (bottlenose dolphin, Baird’s beaked whale, Dall’s porpoise, long-beaked common dolphin, minke whale, northern right whale dolphin, Pacific white-sided dolphin, Risso’s dolphin, short-beaked common dolphin, small beaked whales, and striped dolphin), the season with the highest predicted densities was used to map each species year-round. Thus, for these species, the ESI data show the peak densities that may occur during the year, and actual densities may be lower depending on ocean conditions. Predicted densities were divided into high, medium, and low concentrations based on species-specific percentiles applied to modeled density values throughout the Pacific OCS. The percentiles used for each species to determine the high, medium, and low concentrations were chosen so each species had meaningful polygons of high, medium, and low ESI concentrations within the ESI AOI. The high, medium, and low ESI polygons for each species were assigned concentrations that reported the ranges of numbers of individuals per XX km2.
Gray whale was mapped using the reproductive and migratory BIA II polygon. The Morro Bay resident population of harbor porpoise was mapped using the combined spatial extents of the BIA II polygon and a stratified density model.
Bryde’s whale, short-finned pilot whale, killer whale, and Kogia whales were mapped using the U.S. Navy Marine Species Density Database and expert knowledge. Maps of densities of each of these species from the Navy Database were digitized, and the resulting ESI polygons were assigned concentrations that reported the ranges of numbers of individuals per XX km2.
Six pinniped species were included in the atlas: Guadalupe fur seal (FT), California sea lion, harbor seal, northern elephant seal, northern fur seal, and Steller sea lion. Each species was mapped using the U.S. Navy Marine Species Density Database and expert knowledge. Maps of pinniped densities from the Navy Database were digitized, and the resulting ESI polygons were assigned concentrations that reported the ranges of numbers of individuals per XX km2. Seasonality and life history stage information was provided by resource experts at NOAA NMFS.
Southern sea otters were mapped to polygons showing their range along the mainland from the USGS 2019 Annual California Sea Otter Census. An additional population of southern sea otters occurs in waters around San Nicolas Island, and these otters were mapped to all areas around the island that are less than 60 m depth.
The above digital and/or hardcopy sources were compiled by the project biologist to create the M_MAMMAL data layer. Depending on the type of source data, three general approaches are used for compiling the data layer: 1) information gathered during initial interviews and from hardcopy sources are compiled onto U.S. Geological Survey 1:1,000,000 topographic quadrangles and digitized; 2) hardcopy maps are digitized at their source scale; 3) digital data layers are evaluated and used "as is" or integrated with the hardcopy data sources. See the Lineage section for additional information on the type of source data for this data layer. The ESI, biology, and human-use data are compiled into the standard ESI digital data format. A second set of interviews with participating resource experts are conducted to review the compiled data. If necessary, edits to the M_MAMMAL data layer are made based on the recommendations of the resource experts, and final hardcopy maps and digital data are created.
Process_Date: 202407
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
Bureau of Safety and Environmental Enforcement (BSEE), U.S. Department of the Interior
Contact_Person:
Bureau of Safety and Environmental Enforcement (BSEE), U.S. Department of the Interior Pacific Region Program Manager
Contact_Address:
Address_Type: Physical address
Address: 760 Paseo Camarillo, Suite 102
City: Camarillo
State_or_Province: California
Postal_Code: 93010
Contact_Voice_Telephone: (907) 334-5333
Contact_Electronic_Mail_Address: Guy.Hayes@bsee.gov