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 predictive model data, survey data, and expert knowledge on distributions of marine birds. These data do not necessarily represent all bird 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, Common loon, Gavia immer; 2, Arctic loon, Gavia arctica; 3, Red-throated loon, Gavia stellata; 7, Western grebe, Aechmophorus occidentalis; 8, Double-crested cormorant, Phalacrocorax auritus; 9, Brandt's cormorant, Phalacrocorax penicillatus; 10, Pelagic cormorant, Phalacrocorax pelagicus; 31, Pacific loon, Gavia pacifica; 35, Parasitic jaeger, Stercorarius parasiticus; 36, Glaucous-winged gull, Larus glaucescens; 37, Western gull, Larus occidentalis; 38, Herring gull, Larus argentatus; 39, California gull, Larus californicus; 42, Bonaparte's gull, Larus philadelphia; 43, Heermann's gull, Larus heermanni; 45, Common tern, Sterna hirundo; 46, Common murre, Uria aalge; 47, Pigeon guillemot, Cepphus columba; 48, Marbled murrelet, Brachyramphus marmoratus; 49, Cassin's auklet, Ptychoramphus aleuticus; 50, Rhinoceros auklet, Cerorhinca monocerata; 51, Tufted puffin, Fratercula cirrhata; 80, Arctic tern, Sterna paradisaea; 85, California least tern, Sternula antillarum browni; 96, Leach's storm-petrel, Oceanodroma leucorhoa; 100, Black-legged kittiwake, Rissa tridactyla; 102, Fork-tailed storm-petrel, Oceanodroma furcata; 106, Ancient murrelet, Synthliboramphus antiquus; 114, Sabine's gull, Xema sabini; 118, Brown pelican, Pelecanus occidentalis; 129, Northern fulmar, Fulmarus glacialis; 136, Caspian tern, Hydroprogne caspia; 137, Royal tern, Thalasseus maximus; 143, Guadalupe murrelet, Synthliboramphus hypoleucus; 144, Ashy storm-petrel, Oceanodroma homochroa; 145, Elegant tern, Thalasseus elegans; 146, Black storm-petrel, Oceanodroma melania; 199, Pomarine jaeger, Stercorarius pomarinus; 200, Sooty shearwater, Puffinus griseus; 201, Short-tailed shearwater, Puffinus tenuirostris; 202, Pink-footed shearwater, Puffinus creatopus; 203, Flesh-footed shearwater, Puffinus carneipes; 239, Clark's grebe, Aechmophorus clarkii; 254, Laysan albatross, Phoebastria immutabilis; 255, Black-footed albatross, Phoebastria nigripes; 302, Scoters, Melanitta spp.; 338, South polar skua, Catharacta maccormicki; 343, Long-tailed jaeger, Stercorarius longicaudus; 396, Phalaropes, Phalaropus spp.; 412, Short-tailed albatross, Phoebastria albatrus; 620, Hawaiian petrel, Pterodroma sandwichensis; 646, Black-vented shearwater, Puffinus opisthomelas; 852, Buller's shearwater, Puffinus bulleri; 958, Iceland gull, Larus glaucoides; 969, Cook's petrel, Pterodroma cookii; 970, Craveri's murrelet, Synthliboramphus craveri; 971, Scripps's murrelet, Synthliboramphus scrippsi; 972, Murphy's petrel, Pterodroma ultima; 1010, Pelagic birds, n/a; 1046, Coastal birds, n/a; 1047, Shelf birds, n/a.
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: DAVE PEREKSTA, BOEM
Publication_Date: 2024
Title:
ENDANGERED SPECIES ACT LISTED BIRD DISTRIBUTIONS, OFFSHORE CALIFORNIA
Geospatial_Data_Presentation_Form: VECTOR DIGITAL DATA
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 ACCESS
Source_Citation_Abbreviation: NONE
Source_Contribution: BIRDS INFORMATION
Source_Information:
Source_Citation:
Citation_Information:
Originator:
Leirness JB, Adams J, Ballance LT, Coyne M, Felis JJ, Joyce T, Pereksta DM, Winship AJ, Jeffrey CFG, Ainley D, Croll D, Evenson J, Jahncke J, McIver W, Miller PI, Pearson S, Strong C, Sydeman W, Waddell JE, Zamon JE, Christensen J.
Publication_Date: 2021
Title:
Modeling at-sea density of marine birds to support renewable energy planning on the Pacific Outer Continental Shelf of the contiguous United States.
Geospatial_Data_Presentation_Form: DOCUMENT
Publication_Information:
Publication_Place: CAMARILLO, CA
Publisher:
US Department of the Interior, Bureau of Ocean Energy Management.
Other_Citation_Details: OCS Study BOEM 2021-014. 385 p.
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: BIRDS INFORMATION
Process_Step:
Process_Description:
Two main sources of data were used to depict mesophotic and deep-sea coral and sponge distributions and seasonality for this data layer: 1) predicted density model results for marine birds, 2) survey data, 3) expert knowledge.
The four ESA-listed species (marbled murrelet (FT, SE), Hawaiian petrel (FE), California least tern (FE, SE), and short-tailed albatross (FE)) were mapped using a combination of expert knowledge and survey data. Polygons were drawn showing the distribution of each species using eBird records, other survey data, and expert knowledge as a guide. Hawaiian petrel, California least tern, and short-tailed albatross were mapped exclusively using these sources (model data do not exist for these species); however, marbled murrelet was also included in the seabird model results as described below.
Marine birds were mapped using model data provided by BOEM. The BOEM study modeled at-sea densities of marine birds on the Pacific Outer Continental Shelf (OCS) using a combination of seabird survey data and environmental predictor variables. The authors used a boosted generalized additive modeling framework to estimate relationships between bird species/group survey data and environmental variables, and those relationships were used to predict estimated density of each species/group throughout the Pacific OCS in each season (Leirness et al. 2021). A total of 46 species and taxonomic groups were modelled individually, and those individual model results were compiled using guidance from the report authors to present the summary seabird distributions and concentrations presented in the ESI. A grouping scheme that grouped modeled species and taxonomic groups based on waters they are likely to inhabit (determined from survey data and expert knowledge) was created to derive annual multi-species maps and summarize the model results. The grouping scheme consisted of the following groups:
• Coastal seabirds: Species that mainly inhabit coastal waters;
• Shelf seabirds: Species that tend to inhabit waters near the continental shelf break and slope; and
• Pelagic seabirds: Species that mainly inhabit offshore waters beyond the continental slope.
The derived annual multi-species maps for each habitat group showed average relative densities for the group, which were then normalized and classified into high, medium, and low concentration polygons throughout the entire Pacific OCS based on the following percentiles:
• Coastal seabirds: <50%, 50 to 66%, and >66%;
• Shelf seabirds: <50%, 50 to 66%, and >66%; and
• Pelagic seabirds: <25%, 25 to 80%, and >80%.
These percentiles were chosen by resource experts so each habitat group had meaningful polygons of high, medium, and low ESI concentrations within the ESI AOI. The percentiles chosen were not consistent between the habitat groups because of variation in predicted values within the Pacific OCS modeled study area.
The above digital and/or hardcopy sources were compiled by the project biologist to create the BIRDS 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 BIRDS 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: NOAA, Office of Response and Restoration
Contact_Person: NOAA ESI Program Manager
Contact_Address:
Address_Type: Physical address
Address: 7600 Sand Point Way, N.E.
City: Seattle
State_or_Province: Washington
Postal_Code: 98115-6349
Contact_Voice_Telephone: (206) 526-4913
Contact_Facsimile_Telephone: (206) 526-6329
Contact_Electronic_Mail_Address: orr.esi@noaa.gov