BCMCA_ECO_Birds_MarineBirdRichness_Marxan

Metadata also available as

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator:
The British Columbia Marine Conservation Analysis (BCMCA), a Tides Canada Initiatives Project
Publication_Date: 05/2009
Title: BCMCA_ECO_Birds_MarineBirdRichness_Marxan
Geospatial_Data_Presentation_Form: vector digital data
Online_Linkage:
\\CARRIE\E\Andy_Bcmca\data_processed_namedStandardized\Seabirds\AtSea_updatesJune2010\AtSeaDensities.mdb
Description:
Abstract:
The British Columbia Marine Conservation Analysis (BCMCA) is a collaborative project assembling and analyzing spatial information about Canada's Pacific Ocean. The overall goal of the BCMCA is to identify marine areas of high conservation value and marine areas important to human use. Results of the project are intended to inform and help advance marine planning initiatives in BC by providing collaborative, peer-reviewed scientific analyses based on the best ecological and socio-economic spatial data at scales relevant to a BC coast-wide analysis.
Purpose:
The purpose of this dataset is to incoporate all sea survey data identifying all pelagic species, process, and summarize species counts by BCMCA planning unit to help inform the marine feature identified at the BCMCA Seabirds Workshop.
Supplemental_Information:
This dataset is a compilation of data collected by many people, for different purposes, using different survey techniques with different methodologies within each technique and, therefore, considerable care must be taken when using the data, even for site-specific inquiries. Refer to the original metadata document for data limitations and usage. Title or link is provided within source information. Data was collected, merged and buffered (if applicable) by target feature layer using the following data sources: 1.Laskeek Bay Sea Surveys 2001-2008. 2.BC Ferry Swartz Bay to Tsawwassen (transects_line.shp). 3.Marine Birds Database (Garry Kaiser surveys, viMAMU data, Mark Drever surveys). 4.Pacific Pelagic Seabird Surveys (Pacific_Pelagic_Seabird_Survey_centroids.shp). 5.Southwest VI Shelf seabirds (Data and Leg files: shf_data, shf_plotted_data, tb_data, tb_plotted_data). 6.BCMCA Planning Units (dfo_bc_2K_4K_combined.shp).
NOTE: Only those birds identified to the species level were used to calculate species richness. Unidentified species (e.g. unidentified gulls) were not used for this calculation. However, unidentified pelagic birds were used to calculate the at-sea pelagic seabird density. Therefore, there are 71 more planning units with values in the at-sea pelagic seabird density feature than in the at-sea pelagic seabird richness feature.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: unknown
Currentness_Reference: ground condition
Status:
Progress: In work
Maintenance_and_Update_Frequency: Unknown
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -139.014878
East_Bounding_Coordinate: -122.694756
North_Bounding_Coordinate: 54.815635
South_Bounding_Coordinate: 46.424095
Keywords:
Theme:
Theme_Keyword_Thesaurus:
REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.
Theme_Keyword: Pelagic Species
Theme_Keyword: At-sea richness
Place:
Place_Keyword: British Columbia
Access_Constraints:
This dataset is subject to the terms and conditions of a data license agreement.
Use_Constraints:
This dataset is subject to the terms and conditions of a data license agreement:
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: British Columbia Marine Conservation Analysis
Contact_Person: Karin Bodtker
Contact_Position: BCMCA Co-Chair
Contact_Address:
Address_Type: mailing and physical address
Address: 1405-207 West Hastings Street
City: Vancouver
State_or_Province: BC
Postal_Code: V6B 1H7
Country: Canada
Contact_Voice_Telephone: 604-696-5044
Native_Data_Set_Environment:
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.3.1.3500
Data_Quality_Information:
Lineage:
Source_Information:
Source_Contribution:
BC Ferry Swartz Bay to Tsawwassen. Dataset name: transects_line.shp. Metadata document: ferrySurveys_meta20080208.doc. Extent: Southern Strait of Georgia. Strip transects conducted aboard BC Ferry vessel transiting between the Swartz Bay and Tsawwassen terminals. Counts were conducted during four back to back crossings, on each of three consecutive days (for a total of 12 crossings) each month. The area (km2) surveyed was determined using the width on either side of vessel 150m. DBF table (Survey_data) contains estimated segment length, survey width, and area. Bird densities derived from counts/area (km sq). Spatial data supplied consists of line shapefile with original transect linework, and polygon shapefile with transects buffered to a 300m total width. Refer to original metadata document (listed above) for more information regarding survey background, methodology and data limitations.
Source_Information:
Source_Contribution:
Laskeek Bay Sea Surveys 2001-2008. Raw data: excel format. Metadata Document: Sea Survey Methods.doc Extent: Laskeek bay,as far north as Kingui Island, and as far south as Haswell and Reef Island. See "Key" worksheet in Laskeek Bay Sea Surveys 2001-2008.xls for a map. The purpose of this survey: 1. Measure the abundance and distribution of marine birds and mammals. 2. Monitor inter-annual changes in Marbled Murrelet at-sea populations. 3. Record inter-annual changes in sea-surface temperature (SST) in Laskeek Bay. Data was collected by observers in boats following pre-determined transect lines. Transect mid point coordinates and survey data are supplied within the excel workbook.
Source_Information:
Source_Contribution:
Pelagic Seabird Survey. Dataset name: Pacific_Pelagic_Seabird_Survey_Centroid.shp. Metadata document: Pelagic_Seabird_Survey_Metadata Apr 02_08.doc. Extent: Coast Wide. Pelagic bird surveys were conducted along the coast of British Columbia from 1982-2005. Seabirds were counted opportunistically from aboard DFO research vessels traveling along pre-determined routes off the coast of British Columbia. During early surveys, birds were counted in a 180º forward-facing field, from the bow of the vessel out to 250 m on either side (i.e. total survey strip width 500 m). However, since approximately 2006, surveys have been conducted only on one side of the vessel out to 250m. Most observations were made from the deck above the ship's bridge (approximately 15 m above the surface of the water). All seabirds seen within the survey strip were counted, identified to species if possible (otherwise to genus or family) and recorded. Datasets received: 3 feature classes within geodatabase (point, line, and polygon). These 3 feature classes correspond to the same data but simply represent the data as a transect centroid, of the trackline the vessel followed, and the resultant area surveyed. There are also 3 attribute data tables: Species_Survey_Data, Species_Data, Species_Code. Refer to original metadata document (listed above) for more information regarding survey background, methodology and data limitations.
Source_Information:
Source_Contribution:
CWS Marine Birds Survey Database Project. Associated tables: Mark Drever Survey, Garry Kaiser Surveys and VI MAMU study. Metadata document: Short Documentation MBSDB Feb_10_2009.pdf. Associated tables: ObsArea (includes spatial information), Observe (includes the survey data), SurveyID (includes survey documentation). Data is comprised of one single geodatabase that combines data from a variety of different surveys. Surveys include: BC Ferry, Pelagic Seabird Survey, Vancouver Island MAMU Study, Mark Drever surveys, Gerry Kaiser surveys. Refer to original metadata document (listed above) for more information regarding survey background, methodology and data limitations.
Source_Information:
Source_Contribution:
Alan Burger data (Data and leg files: shf_data, shf_plotted_data, tb_data, tb_plotted_data). Metadata document: Burger methodology.doc. Other documentation: legend_beale_new_cjg.xls. Extent: West Coast Vancouver Island. Data supplied and organized in two folders: Data Files and Leg files. Folders contain various files for each traverse of the transect carried out by Dr. A. Burger off the West Coast of Vancouver Island. Each of the leg files contains minute by minute observation location for a coordinating bird observation data file. Process to spatially locate bird observation data from 1987 to 1995 undertaken by Catherine Griffiths (GIS Consultant). Refer to original metadata document (listed above) for more information regarding survey background, methodology and data limitations.
Source_Information:
Source_Contribution:
BCMCA Planning Units. Dataset name: dfo_bc_2K_4K_combined.shp. Metadata document: None supplied. Shapefile contains the combined 2km and 4km planning unit grid cells with associated unit ID's.
Process_Step:
Process_Description:
<<The methods used to combine all sea survey datasets identifying pelagic species and summarize species counts by BCMCA planning unit are as follows >>
Source_Used_Citation_Abbreviation:
\\CRMLTD03\E$\F\Crm1143\Source\080818_SourceDocs\Original_Data\Plants\BCMCA_Plants.gdb
Process_Step:
Process_Description: 
>Prepared LBCS dataset:
Created 2 new fields in the excel transect locations tab, Lat_DD and Long_DD. Used a DMS to DD excel calculation to convert DMS to DD. Added a field in the spatial data called Trans_Code. Populated Off-shore records using field calculator and following formula: transect x 100 plus km number. Populated Near-shore records based on C-M numbering (i.e. 1300 - 2200). Field will be used to link the survey data to the survey midpoints. Formatted and exported excel tables into personal geodatabase tables. Appended all survey tables together using Append tool. Notes within workbooks' "Key" tab indicate transects K and L were combined to "K" in 2006. As there is no longer spatial data for transects labelled "L", all records within raw data were combined with "K" transects and bird counts summed accordingly. Typo in survey data (raw data tables 2001 and 2002), records transect 3, segment 1 as '310' should be '301'. Re-calculated these Trans_Codes to '301' to include counts. Displayed midpoints using Add XY Data and exported into a feature class using NAD 1983 as the coordinate system. Re-projected to NAD 1983 BC Environment Albers using Project tool. Notes in excel "Key" tab indicate the small cap vs large cap species code defines whether sps is flying or on water. If applicable, these records were also included.
Process_Step:
Process_Description:
Summarized midpoints by Trans_Code to include the following data: total number of pelagic species sighted in the survey by midpoint, total number of surveys for that transect midpoint, total count of all the pelagic birds sighted, transect area in square km, and density. Included only those fields applicable to the pelagic species identified and listed by BCMCA. Added the following fields: Data_Source, Dataset_ID, Surveys_Total, Area_km2, Species_Count, Indiv_Count, Density_km2. Fields were populated using Calculate fields tool. To calculate the total number of pelagic species sighted, feature table was summarized by Trans_Code to include the sum of all the listed species' numbers. All pelagic species summed numbers were tallied by record to get the total number. To calculate the total count of all pelagic birds sighted, a MS query was created to check each species' record and where numbers were >0 a value of one was assigned and grouped by Trans_Code. To avoid duplicate species' counts, the MS query was run on the summarized midpoint table. To ensure species with different behaviours (i.e MAMU vs mamu1) were not double counted, included a parameter within query to first sum fields and if the sum is >0, assign a value of 1. Total Surveys field was calculated to equal the total number of surveys conducted for each midpoint. Density field calculated using following formula: [Indiv_Count]/[Area_km2]. Data_Source field calculated to equal the name of the dataset from which the data was derived. Dataset_ID field calculated to equal the common dataset identifier as categorized by BCMCA. Joined survey data to spatial layer using Trans_Code field and exported into a feature class.
Process_Step:
Process_Description: 
>Prepared BC Ferry dataset:
Re-project spatial layer from NAD 1983 Albers to NAD 1983 BC Environment Albers using Project tool. Added a new field within the Survey_data table to store the date (within first 6 digits of Transect_ID field) and calculated to read yyyy/mm/dd format. Calculated the transect midpoint X and Y coordinates and displayed using Add XY Data.
Process_Step:
Process_Description:
Summarized midpoints by Segment_ID to include the following data: total number of pelagic species sighted in the survey by midpoint, total count of all the pelagic birds sighted, total number of surveys for that transect midpoint, transect area in square km, and density. Included only those fields applicable to the pelagic species identified and listed by BCMCA. Added the following fields: Data_Source, Dataset_ID, Surveys_Total, Area_km2, Species_Count, Indiv_Count, Density_km2. Fields were populated using Calculate fields tool. To calculate the total number of pelagic species sighted, feature table was summarized by Segment_ID to include the sum of all pelagic species' numbers. All species summed numbers were tallied by record to get the total number. To calculate the total count of all pelagic birds sighted, a MS query was created to check each species' record and where numbers were >0 a value of one was assigned and grouped by Segment_ID. To avoid duplicate species' counts, the MS query was run on the summarized midpoint table. Total surveys was calculated to equal the total number of surveys conducted for each transect midpoint. Density field calculated using following formula: [Indiv_Count] / [Area_km2]. Data_Source field calculated to equal the name of the dataset from which the data was derived. Dataset_ID field calculated to equal the common dataset identifier as categorized by BCMCA. Joined feature table to spatial layer using Segment_ID field in the table and Segment field in the spatial. Included the total bird count table and exported to a feature class.
Process_Step:
Process_Description:
<<Prepared PSS dataset: Steps taken prior to CRM processing: Reconciliation of data files - Survey data was originally input and stored in various MS Excel. Field names and records were standardized for all spreadsheets. In addition to design standards, date information was reconciled to conform to international date formats. This is important to address year 2000 date issues. All spreadsheets were converted into DBF files. Creation of relational database - The original database design was assessed and redesigned to conform to GIS conventions and standards. A single key identifier uniquely identifies all features. These features link to the pelagic shipboard survey tabular data (one-to-many data relationship), based on the single key identifier in that database. The key identifier is a concatenation of the date, original transect identifier, and the original survey identifier. Transposing of fields and other programming - It was necessary to transpose species information that was stored as many fields (100+) into a single species field. By storing species information into a relational database, query effort is simplified and processing more efficient. A GIS automation script was created to automate the process that would otherwise have had to been conducted manually.
Process_Step:
Process_Description:
Processing steps undertaken by CRM: Summarized midpoints by GIS_key to include the following data: total number of pelagic species sighted in the survey by midpoint, total count of all the pelagic birds sighted, total number of surveys for that transect midpoint, transect area in square km, and density. Included only those fields applicable to the pelagic species identified and listed by BCMCA. Added the following fields: Data_Source, Dataset_ID, Surveys_Total, Area_km2, Species_Count, Indiv_Count, Density_km2. Fields were populated using Calculate fields tool. To calculate the total number of pelagic species sighted, feature table was summarized by GIS_key to include the sum of all pelagic species' numbers. All pelagic species summed numbers were tallied by record to get the total number. To calculate the total number of pelagic species sighted, feature table was summarized by SegmentID to include the sum of all pelagic species' numbers. To calculate the total count of pelagic species, two queries were created using Microsoft Access. The first query was created to assign all instances of species recorded within each transect midpoint a value of one, grouped and ordered by Gis_Key. To eliminate duplicate species counts (i.e. species recorded with differing behaviours), only the first species recorded was assigned a value of one. The second query was created to count and sum all species counts within each grouped Gis_Key. Total Surveys field was calculated to equal the total number of surveys conducted for each transect midpoint. To include area data (km2), the Pacific Pelagic Seabird Survey Area Surveyed table was exported and joined to the feature table using the GIS_key field in both tables. Density field calculated using following formula: [Indiv_Count]/[Area_km2]. Data_Source field calculated to equal the name of the dataset from which the data was derived. Dataset_ID field calculated to equal the common dataset identifier as categorized by BCMCA. Note: Some midpoints were missing from the Centroid layer. Using select by location, found 22 transects that did not have corresponding centroids generated. Exported these missing records from transect layer, calculated midpoints, and displayed XY data. Merged missing midpoints to centroid layer. Joined the feature table to the spatial centroid layer using gis_key in table and GIS_key in spatial and exported to a feature class. Note: There were some records in the table that did not have matching GIS_key records in the spatial. Refer to associated text file for a complete list. Projected from GCS 1983 to NAD 1983 BC Environment Albers using Project tool.
Process_Step:
Process_Description:
<<Prepared Marine Birds Database: Created new fields in both the Observe and ObsArea table to store the Data Code (located after 8 digit date value). Using DataFile field in SurveyID table and selecting applicable Data code references, updated data source fields with applicable data. Using select by attributes, selected all records in the Observe table where Data Source = Mark Drever, Gerry Kaiser, and Vancouver Island MAMU and exported to a separate feature table. Using select by attributes, selected all records in the ObsArea table where Data Source = Mark Drever, Gerry Kaiser, and Vancouver Island MAMU and exported to a separate feature class. Within ObsArea table, displayed XY data using LineSegCentLat & LineSegCentLong fields. Exported to a feature class using NAD 1983 as geographic coordinate system. Re-projected to NAD 1983 BC Environment Albers using Project tool.
Process_Step:
Process_Description:
Summarized midpoints by Segment_ID to include the following data: total number of pelagic species sighted in the survey by midpoint, total count of all the pelagic birds sighted, total number of surveys for that transect midpoint, transect area in square km, and density. Included only those fields applicable to the pelagic species identified and listed by BCMCA. Added the following fields: Data_Source, Dataset_ID, Surveys_Total, Area_km2, Species_Count, Indiv_Count, Density_km2. Fields were populated using Calculate fields tool. To calculate the total number of pelagic species sighted, feature table was summarized by Segment_ID to include the sum of all pelagic species' numbers. To calculate the total number of pelagic species sighted, feature table was summarized by SegmentID to include the sum of all pelagic species' numbers. To calculate the total count of pelagic species, two queries were created using Microsoft Access. The first query was created to assign all instances of species recorded within each transect midpoint a value of one, grouped and ordered by SegmentID. To eliminate duplicate species counts (i.e. species recorded with differing behaviours), only the first species recorded was assigned a value of one. The second query was created to count and sum all species counts within each grouped SegmentID. Total Surveys field was calculated to equal the total number of surveys conducted for each transect midpoint (same as the species count field). Area in squared meters was calculated to squared kilometers. Density field calculated using following formula: [Indiv_Count]/[Area_km2]. Data_Source field calculated to equal the name of the geodatabase from which the data was derived. DataFile field corresponds to the field listed within the survey table. Dataset_ID field calculated to equal the table identifier as categorized by BCMCA. Joined the feature table to the spatial midpoint layer using SegmentID in both the table and spatial and exported to a feature class. Note: 60 records from Gerry Kaiser surveys were missing transect width data. Referred to associated metadata document and determined transect width estimate based on the type of vessel used and observation height. Populated SWidthM field to 300 meters. 5 coordinates were recorded incorrectly. Missing minus sign in front of longitudinal coordinate. Re-calculated to include correct coordinate locations.
Process_Step:
Process_Description: 
>Prepared Southwest VI Shelf seabirds data:
Exported all excel survey worksheets (those labeled "coded") into a personal geodatabase. Appended all relevant survey tables into one master table. Merged all spatial line layers together for each applicable folder (i.e. shf_files). Added 2 new fields to spatial layer: Mid_XCOORD, Mid_YCOORD calculated the midpoint geometry, displayed using Add XY data and exported to a feature class. Used identify duplicate fields calculator to make sure keycode field is unique when all files are merged. Joined master survey table to spatial layer using keycode field in both spatial and aspatial.
Process_Step:
Process_Description:
Included only those fields applicable to the pelagic species identified and listed by BCMCA. Note: The fields that recorded unidentified species (i.e. phalt, gullt, otgut, proct, otalt, alcit) were not included in analysis. Added the following fields: Data_Source, Dataset_ID, Species_Count, Indiv_Count, Surveys_Total, Area_km2, Density_km2. Populated field using Calculate Field tool. Data_Source field calculated to equal the name of the dataset from which the data was derived. Dataset_ID field calculated to equal the common dataset identifier as categorized by BCMCA. To calculate the total count of all pelagic birds sighted, a MS query was created to check each species' record and where numbers were >0 a value of one was assigned and grouped by Keycode. To calculate the total number of pelagic species sighted, all pelagic species' summed numbers were tallied by record to get the total number. Total surveys was calculated to 1 to reflect each keycode value. Density field calculated using following formula: [Indiv_Count] / [Area_km2].
Process_Step:
Process_Description:
Merged Ferry, LBCS, and Burger prepared midpoint datasets using Merge tool to create one layer storing at-sea survey midpoint layers where species are recorded as fields. Overlaid merged midpoint layer with BCMCA planning units using Spatial Join tool. Tool parameter example: Target Feature = dfo_bc_2k_4k_combined.shp, Join Features = Midpoints_allPelagicSpecies_surveydata.shp, Join Operation = Join_One_to_Many, Match Option = Intersects.
Process_Step:
Process_Description:
Merged PSS and MBD prepared midpoint datasets using Merge tool to create one layer storing at-sea survey midpoint layers where species are recorded as records in a table. Overlaid merged midpoint layer with BCMCA planning units using Spatial Join tool and exported table. Used code to programmatically sort through all of the table records and extract all instances of species and corresponding numbers into a new column. The two tables were then merged to create a complete list all all species grouped and ordered by planning unit. To create the At-Sea Richness feature, a MS query similiar to previously listed species counts was created to check each species' record and where numbers were >0 a value of one was assigned and grouped by Trans_Code. To avoid duplicate species' counts, the MS query was run on a summarized table. To ensure species with different behaviours (i.e LBCS) were not double counted, included a parameter within query to first sum fields and if the sum is >0, assign a value of 1. Joined summarized species list table to spatial layer using UNIT_ID field.
Process_Step:
Process_Description: Created Metadata.
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person:
Steps up to and including this one completed by Melissa Meneghetti
Contact_Organization: Coastal Resource Mapping
Process_Step:
Process_Description: ID field added and populated with a unique Marxan ID.
Process_Date: Dec 10, 2009
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Mathew Evans
Contact_Organization: BCMCA
Contact_Position: GIS Contractor
Process_Step:
Process_Description:
The dataset was clipped using the densities_pelagicSpecies_final_update_jan2010 feature class to ensure that only those planning units with survey effort were displayed.
Process_Date: January 2010
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Carrie Robb
Contact_Organization: Living Oceans Society (for BCMCA)
Contact_Position: GIS Specialist
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: G-polygon
Point_and_Vector_Object_Count: 8523
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: Label point
Point_and_Vector_Object_Count: 39346
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: GT-polygon composed of chains
Point_and_Vector_Object_Count: 39346
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: Point
Point_and_Vector_Object_Count: 4
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 50.000000
Standard_Parallel: 58.500000
Longitude_of_Central_Meridian: -126.000000
Latitude_of_Projection_Origin: 45.000000
False_Easting: 1000000.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.000140
Ordinate_Resolution: 0.000140
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222
Vertical_Coordinate_System_Definition:
Altitude_System_Definition:
Altitude_Resolution: 0.000100
Altitude_Encoding_Method:
Explicit elevation coordinate included with horizontal coordinates
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: BCMCA_ECO_Birds_MarineBirdRichness_Marxan
Attribute:
Attribute_Label: Shape_Area
Attribute_Definition: Area of feature in internal units squared.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain: Positive real numbers that are automatically generated.
Attribute:
Attribute_Label: Shape
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain: Coordinates defining the features.
Attribute:
Attribute_Label: OBJECTID
Attribute_Definition: Internal feature number.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: UNIT_ID
Attribute_Definition: Unique ID as assigned by BCMCA.
Attribute:
Attribute_Label: Shape_Length
Attribute_Definition: Length of feature in internal units.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain: Positive real numbers that are automatically generated.
Attribute:
Attribute_Label: POJA_total
Attribute_Definition:
Following fields contain a '1' if the species listed in field name was observed in the planning unit
Attribute:
Attribute_Label: PAJA_total
Attribute:
Attribute_Label: LTJA_total
Attribute:
Attribute_Label: HEEG_total
Attribute:
Attribute_Label: BOGU_total
Attribute:
Attribute_Label: RBGU_total
Attribute:
Attribute_Label: MEGU_total
Attribute:
Attribute_Label: HEGU_total
Attribute:
Attribute_Label: CAGU_total
Attribute:
Attribute_Label: THGU_total
Attribute:
Attribute_Label: GWGU_total
Attribute:
Attribute_Label: COTE_total
Attribute:
Attribute_Label: CATE_total
Attribute:
Attribute_Label: COMU_total
Attribute:
Attribute_Label: PIGU_total
Attribute:
Attribute_Label: MAMU_total
Attribute:
Attribute_Label: ANMU_total
Attribute:
Attribute_Label: RHAU_total
Attribute:
Attribute_Label: CAAU_total
Attribute:
Attribute_Label: TUPU_total
Attribute:
Attribute_Label: BLKI_total
Attribute:
Attribute_Label: SOSH_total
Attribute:
Attribute_Label: NOFU_total
Attribute:
Attribute_Label: FTSP_total
Attribute:
Attribute_Label: RNPH_total
Attribute:
Attribute_Label: BFAL_total
Attribute:
Attribute_Label: PFSH_total
Attribute:
Attribute_Label: WEGU_total
Attribute:
Attribute_Label: SAGU_total
Attribute:
Attribute_Label: BLSH_total
Attribute:
Attribute_Label: REPH_total
Attribute:
Attribute_Label: LESP_total
Attribute:
Attribute_Label: STSH_total
Attribute:
Attribute_Label: WGWG_total
Attribute:
Attribute_Label: ARTE_total
Attribute:
Attribute_Label: BVSH_total
Attribute:
Attribute_Label: FFSH_total
Attribute:
Attribute_Label: GLGU_total
Attribute:
Attribute_Label: HOPU_total
Attribute:
Attribute_Label: LAAL_total
Attribute:
Attribute_Label: MASH_total
Attribute:
Attribute_Label: MOPE_total
Attribute:
Attribute_Label: MUPE_total
Attribute:
Attribute_Label: PAAU_total
Attribute:
Attribute_Label: RNPL_total
Attribute:
Attribute_Label: SBGU_total
Attribute:
Attribute_Label: SKUA_total
Attribute:
Attribute_Label: STAL_total
Attribute:
Attribute_Label: TBMU_total
Attribute:
Attribute_Label: XAMU_total
Attribute:
Attribute_Label: Maximum_SPECIES_COUNT
Attribute_Definition: Total number of species observed
Attribute:
Attribute_Label: ID
Attribute_Definition: Unique Marxan ID
Overview_Description:
Entity_and_Attribute_Detail_Citation:
All Pelagic species used were identified and listed by BCMCA using the following excel spreadsheet: pelagic_for_atsea_features_final_20090215.xls
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: British Columbia Marine Conservation Analysis
Contact_Instructions: See www.bcmca.ca for distribution details
Resource_Description: Downloadable Data
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Transfer_Size: 50.954
Metadata_Reference_Information:
Metadata_Date: 20100925
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Living Oceans Society (for BCMCA)
Contact_Person: Carrie Robb
Contact_Position: GIS Specialist
Contact_Address:
Address_Type: mailing and physical address
Address: 1405-207 W. Hastings St.
City: Vancouver
State_or_Province: BC
Postal_Code: V6B 1H7
Country: Canada
Contact_Voice_Telephone: (604) 696-5044
Contact_Electronic_Mail_Address: crobb@livingoceans.org
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
Metadata_Extensions:
Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>
Profile_Name: ESRI Metadata Profile
Metadata_Extensions:
Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>
Profile_Name: ESRI Metadata Profile
Generated by mp version 2.9.6 on Sat Sep 25 22:40:54 2010