BrantWinter_Final

Metadata:

• Identification_Information
• Data_Quality_Information
• Spatial_Data_Organization_Information
• Spatial_Reference_Information
• Entity_and_Attribute_Information
• Distribution_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator:

The British Columbia Marine Conservation Analysis (BCMCA), a Tides Canada Initiatives Project

Publication_Date: 03/2010

Title: BrantWinter_Final

Geospatial_Data_Presentation_Form: vector digital data

Online_Linkage:

\\vancouverserver\gis\BCMCA\data4Marxan_May2010\Seabirds\nearshore_marxan_features.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 incorporate all near shore data identifying Brant Goose winter sites (November, January, February), process and summarize weighted densities by BCMCA planning unit to help inform the marine feature identified at the BCMCA Seabirds Workshop. Data presented as 2 km x 2 km planning units for MARXAN analysis.

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.Bird Studies Canada (BSC) BC Coastal Waterbirds Survey (BCCWS_polygons.shp). 2.Coastal Waterbird Inventory Survey (cwi_bc.shp, cwidat_bc.dbf). 3.BC Ferry Swartz Bay to Tsawwassen (transects_poly150.shp). 4.CDC Near Shore Bird data.(NearShore_birds_CDC.shp). 5.Pacific Pelagic Seabird Surveys (Pacific_Pelagic_Seabird_Survey_AreaSurveyed.shp).

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: -132.824783

East_Bounding_Coordinate: -122.362919

North_Bounding_Coordinate: 54.349775

South_Bounding_Coordinate: 48.236825

Keywords:

Theme:

Theme_Keyword_Thesaurus:

REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.

Theme_Keyword: Brant

Theme_Keyword: winter

Theme_Keyword: weighted densities

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: GIS Specialist

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

Contact_Electronic_Mail_Address: kbodtker@livingoceans.org

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:

Bird Studies Canada (BSC) BC Coastal Waterbirds Survey. Dataset name: BCCWS_polygons.shp. Metadata document: Coastal Waterbird Survey summary metadata March 2007.doc. Volunteer-based monitoring program for coastal waterbirds started in September 1999. The monthly surveys are shoreline-based for the period of September through April. Observers undertake surveys at sites with clearly defined boundaries once per month from September through April, and identify and count all coastal waterbirds with binoculars and/or spotting scope. Purpose is to obtain a relative index of coastal waterbird populations and information on the distribution and ecology of wintering coastal waterbirds in BC. Dataset supplied includes spatial layer. All bird occurrences and counts stored in a raw data format and included within excel spreadsheet; approx 75,000 records. Bird occurrences are documented by site location, rather than individual sighting locations and can be joined to spatial polygon data via SiteCode. Refer to original metadata document (listed above) for more information regarding survey background, methodology and data limitations.

Source_Information:

Source_Contribution:

Coastal Waterbird Inventory Survey. Dataset name: cwi_bc.shp. Associated tables: cwidat_bc.dbf, cwilut_bc.dbf. Metadata document: cwi_meatadata_26March07.doc. Extent: Coast Wide. Compilation of data from Duck Unlimited and Canadian Wildlife Service. Includes ground surveys (back to 1919), boat surveys, and aerial surveys. The surveys were conducted with the primary purpose of locating concentrations of waterbirds on the coast of British Columbia. Originally the data were received in five separate files (CWIF1.DBF, CWIF2.DBF, CWIF3.DBF, CWIF4.DBF, CWIF5.DBF) and were combined into above tables. Refer to original metadata document (listed above) for more information regarding survey background, methodology and data limitations.

Source_Information:

Source_Contribution:

BC Ferry Swartz Bay to Tsawwassen. Dataset name: transects_poly150.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:

CDC Near Shore Bird data. Dataset name: NearShore_birds_CDC.shp. Mapped areas of land/water (Element Occurrence) in which a species or ecological community is, or was, present and provincial ranking applied. The CDC follows NatureServe mapping methodology whereby Element Occurances are depicted as polygons. Locations are supplied via lat/long coordinates, and buffered according to locational uncertainties. Original metadata document: Online <http://www.env.gov.bc.ca/cdc/gis/eo_data_fields_06.htm>

Source_Information:

Source_Contribution:

Pelagic Seabird Survey. Dataset name: Pacific_Pelagic_Seabird_Survey_areasurveyed.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: BCMCA 2 km x 2 km planning units for the Canadian Pacific EEZ.

Process_Step:

Process_Description:

<<The methods used to combine datasets to identify areal extents and densitied of Brant Goose 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 BC Coastal Waterbirds Survey dataset: 

Imported excel worksheets "BCCWS raw data 1, raw data 2, raw data 3" from Coastal Waterbird Survey data '99-'08.xls into a geodatabase. To join tables to spatial, created new field, SITECODE, in all 3 tables. Using field calculator, populated SITECODE field with following formula: [RegionCode]& [SiteNumber]. Create one field storing date (ymd) rather than 3 fields. Populated field using field calculator with the following formula: [Year_]&"/"& [Month_]&"/"& [Day_]. To combine all 3 tables into one table, used the Append tool and appended raw data 2 and raw data 3 to raw data 1 table. Deleted "Year_" Month_" and "Day_" fields using Delete Field tool. Added 3 new fields using Add Field tool: Feature, Data_Source, Dataset_ID. Populated fields using Calculate Field tool. Feature field calculated to equal the SpeciesCode field. Standardized the Feature field naming convention to equal the common name of the marine species rather than the abbreviated species code. Data_Source field calculated to equal the name of the dataset from which data was derived. Dataset_ID field calculated to equal the common dataset identifier as categorized by BCMCA.

Process_Step:

Process_Description:

Re-projected spatial layer from NAD 1983 Albers to NAD 1983 BC Environment Albers using Project tool. All polygons with the same Sitecode were merged so that there were no duplications in the Sitecode field. To ensure areas matched in both the spatial and the survey data, the total shape area in the spatial was summed where duplicate Sitecodes and cross-checked with area recorded in corresponding SiteCode records in raw excel data. Once the areas were verified, duplicate polygons were merged using merge operation (Advanced Editor toolbar) into one and Name field updated to reflect entire survey location. Duplicate SiteCode records were found in GIMA1 (3 records), GIMA2 (4 records), GISE1 (2 records), and QCMA4 (2 records).

Process_Step:

Process_Description:

Using MS Access query, selected all records within raw data table where SpeciesCode = 'BRAN' with survey months >10 or <3 and exported selected species' records into a feature table. To calculate the total number of surveys, two queries were created using Microsoft Access. The first query was created to record all instances of survey dates for all observations for each survey polygon (i.e. each date instance was assigned a value of 1), grouped and ordered by polygon. To eliminate duplicate counts (i.e. each species recorded has a survey date), only the first date instance was assigned a value of one. The second query was created to count and sum all date instances within each grouped polygon.

Process_Step:

Process_Description:

For each SiteCode, summarized feature table to get the average bird counts. Included the number of surveys in which the species was sighted and the total number of surveys table. Joined feature table to spatial using SiteCode field and exported into a feature class. Note: a few records in the aspatial table did not have matching SiteCodes within the spatial layer. Deleted all unnecessary fields using Delete Fields tool.

Process_Step:

Process_Description:

<<Prepared Coastal Waterbird Inventory Survey dataset: Using MS Access query, selected all records within cwidat_bc table where SPECIES = 'BRAN' with survey months >10 or <3 and exported selected species' records into a feature table.

Process_Step:

Process_Description:

Re-projected cwi_bc.shp from PCS Albers to NAD 1983 BC Environment Albers using Project tool. Related 2 survey tables (cwilut_bc/cwidat_bc) to spatial, and extracted all spatial lines correlating to target feature into a separate feature class. Reviewed Digitized field and where "F2", spatial lines were merged according to each unique combination of SHOREUNITS2 field to create a one-to-one relationship with the survey data. New fields were created (UNIQUEID, NEWID) in order to provide a link to the corresponding survey data. Where applicable, all null and non-spatially linked shoreunits in the feature tables were deleted in order to maintain the same record count in both the spatial and table (refer to associated text file listing null and non-spatially linked records). Joined cwidat_bc feature table to spatial layer using NEWID field and exported to a feature class. Added 4 new fields using Add Field tool: Feature, DATA_SOURCE, Dataset_ID and Buffer_m. Populated fields using Calculate Field tool. Feature field calculated to equal common name of the marine feature as identified within the COMNAME field. DATA_SOURCE calculated to equal the name of the dataset from which data was derived. Dataset_ID field calculated to equal the common dataset identifier as categorized by BCMCA. Buffer field calculated based on Survey_Method used: 50m radius (ground, air, and unknown surveys), 150m radius (boat surveys). Buffered shorelines using Buffer tool based on Buffer field. Deleted un-necessary fields using Delete Field tool.

Process_Step:

Process_Description:

<<Prepared BC Ferry dataset: 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. Selected all records within Survey_data where [BRAN] > 0 with survey months >10 or <3. Species' records meeting the criteria were exported into a feature table. To calculate the total number of surveys, two queries were created using Microsoft Access. The first query was created to record all instances of survey dates for all observations by segment (i.e. each date instance was assigned a value of 1), and then grouped and ordered by Segment_ID. To eliminate duplicate counts (i.e. each species recorded has a survey date), only the first date instance was assigned a value of one. The second query was created to count and sum all date instances within each grouped Segment. A similar query to the above was used to calculate the surveys in which species were sighted. Data was recorded in various time intervals along a segment on a given survey date. In these cases, only the first unique survey date was given a count value of one to avoid redundant survey counts and for consistency with the total surveys count.

Process_Step:

Process_Description:

For each Segment_ID, summarized feature table by average bird counts. Included the number of surveys in which the species was sighted and the total number of survey tables. Added 3 fields using Add Field tool: Feature, Data_Source, Dataset_ID. Populated fields using Calculate Field tool. Feature field calculated to equal the common name of the marine species as identified within species code attribute. 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 and exported into a feature class. Re-project from NAD 1983 Albers to NAD 1983 BC Environment Albers using Project tool. Buffered line segments by 150m (radius) using Buffer tool.

Process_Step:

Process_Description:

<<Reviewed and prepared CDC dataset: Using select by attributes, selected the species' targeted within BCMCA seabirds workshop. If all of the other supplied nearshore datasets covered the extent of the CDC data, the CDC dataset was not used to create final feature layer. If there were CDC areas not covered by the nearshore datasets, records were exported to a separate feature class using NAD 1983 BC Environment Albers as the coordinate system, and merged to the final feature layer. All CDC records were used to fill in gaps.

Process_Step:

Process_Description:

<<Reviewed MBAOI, Moulting Sea Duck and BIEAP dataset: Dataset was not used to create final feature layer as all data within MBAOI has already been received and processed. All other dataset were not used for feature creation as species was not identified.

Process_Step:

Process_Description:

Merged all prepared datasets using Merge tool to create one layer storing all Brant observations. During merge process like fields were combined using Field Map window to eliminate duplicate or redundant column headings. Field map was also used to eliminate unnecessary fields not applicable for final feature layer requirements.

Process_Step:

Process_Description: Created Metadata.

Process_Step:

Process_Description:

>Created Survey File:

Added 2 new fields: Area_km2 and Density_km2. Area_km2 calculated by multiplying the shape area (m2) by .000001. Density_km2 Density field calculated using the following formula: [nbird_Total / [Area_km2]. Note: For the CDC polygons, both the First_OBS and Last_OBS fields were reviewed and if either one of these recorded months fell within the features' specified habitat, the polygon was used in order to display that the polygon was surveyed at least once.

Process_Step:

Process_Description:

<<Prepared and added 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: Projected from GCS 1983 to NAD 1983 BC Environment Albers using Project tool. Selected all records within Species_data where [BRAN] > 0, behaviour = 2 and survey months >10 or <3. Species' records meeting the criteria were exported into a feature table. To calculate the total number of surveys, two queries were created using Microsoft Access. The first query was created to record all instances of survey dates meeting the features' winter specifications within each polygon and then grouped and ordered by GIS_key. Since some polygons may have been surveyed more than once, each polygon was assigned a value of one, and counts were summed using all surveys. The second query was created to count and sum all date instances within each grouped GIS_key.

Process_Step:

Process_Description:

For each Gis_key, summarized feature table to get the total bird counts on the water. Included the number of surveys in which the species was sighted (derived through the summarization process) and the total number of surveys table. Joined feature table to spatial using Gis_key field and exported into a separate feature classes. Populated the Season field to equal the season in which the feature is identified as specified by BCMCA. Data_Source field populated to equal the name of the dataset from which the data was derived. Dataset_ID field populate to equal the common dataset identifier as categorized by BCMCA.

Process_Step:

Process_Description: Updated 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:

>Created Final Processed File:

Overlaid merged feature polygons with BCMCA planning units using Spatial Join tool. Tool parameter example: Target Feature = dfo_bc_2k_4k_combined.shp, Join Features = feature layer, Join Operation = Join_One_to_Many, Match Option = Intersects. To create the final processed file, summarized data by planning unit ID and calculated the sum of the total surveys, the sum of the surveys species sighted, and the sum of the density. Added a new field: AVG_DENSITY_km2. Calculated field using the following formula: [sum_DENSITY_km2] / [sum_SURVEYS_TOTAL].

Process_Step:

Process_Description: Updated Metadata

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Melissa Meneghetti

Contact_Organization: Coastal Resource Mapping

Process_Step:

Process_Description:

>Created Marxan File:

Reviewed the distribution of the data in the final processed file using 5 quantiles as defined by BCMCA. Deleted the planning units with average densities that fell within the bottom quantile.

Process_Step:

Process_Description:

The distribution of average density values across the BCMCA planning units was examined for normality and it was found to be skewed (i.e., there were a few very large values which would have biased Marxan toward choosing these planning units to meet any target set). To account for this, the density values were transformed using a natural log function to normalize the data. Then the transformed values were shifted (if below zero) such that the lowest value was equal to 1 (i.e., a positive constant was added to each value). The values in the [Transform_Density] field are the result of this transformation and the distribution of these values across the planning units is near-normal.

Process_Step:

Process_Description: Dataset copied.

Source_Used_Citation_Abbreviation:

\\vancouverserver\gis\BCMCA\Data_Processed\Seabirds\NearShoreBirds\Birds20100406\Marxan_File2\Marxan_File\Marxan_File.mdb

Process_Date: 20100413

Process_Time: 10254200

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: All steps performed by Melissa Meneghetti

Contact_Organization: Coastal Resource Mapping

Contact_Position: Spatial Analyst

Process_Step:

Process_Description: Unit ID updated to match new BCMCA planning unit IDs

Source_Used_Citation_Abbreviation:

O:\BCMCA\Data_Andy_temp_June07\Nearshore_metadata\BrantWinter_Final.xml

Process_Date: June 2010

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Andy Pettersson

Contact_Organization: BCMCA

Contact_Position: GIS Contractor

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: 241

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: 0.000100

Ordinate_Resolution: 0.000100

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: BrantWinter_Final

Attribute:

Attribute_Label: OBJECTID_1

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: 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: UNIT_ID

Attribute:

Attribute_Label: Shape

Attribute_Definition: Feature geometry.

Attribute_Definition_Source: ESRI

Attribute_Domain_Values:

Unrepresentable_Domain: Coordinates defining the features.

Attribute:

Attribute_Label: Cnt_UNIT_ID

Attribute:

Attribute_Label: Sum_SURVEYS_SPECIES_SIGHTED

Attribute_Definition:

Sum of the survey in which species sighted fields for each survey area by planning unit.

Attribute:

Attribute_Label: Sum_SURVEYS_TOTAL

Attribute_Definition: Sum of the survey fields for each survey area by planning unit.

Attribute:

Attribute_Label: Sum_DENSITY_km2

Attribute_Definition:

Sum of the density fields for each survey area by planning unit.

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: AVG_DENSITY_km2

Attribute_Definition: Weighted average by dividing the density sum by the survey sum.

Attribute:

Attribute_Label: LOG

Attribute_Definition:

The average density values were transformed using a natural log function in Arcmap to normalize the data.

Attribute:

Attribute_Label: TRANSFORM_DENSITY

Attribute_Definition:

The transformed values were shifted such that the lowest value was equal to 1 by applying a positive constant to all values to achieve a near-normal distribution.

Attribute:

Attribute_Label: ID

Overview_Description:

Entity_and_Attribute_Detail_Citation:

Species' targeted season, moulting and staging months were defined using the following tech report: <http://www.bsc-eoc.org/library/bccwstrends2008.pdf>.

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: 20100617

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