This legacy Web Map Services will no longer be maintained on an ongoing basis as of December 31, 2015. It will be removed from operations as of March 31, 2016. To see the latest in DataBC WMS services please go to http://openmaps.gov.bc.ca.

Herring Permanent Spawn Transects (geodatabase) - used for herring spawn survey program and spatial analysis/presentation of spawn data from Herring Stock Assessment Database (including creation of spawn polygons).

Description: These commercial whale watching data are comprised of two datasets. First, the ‘whale_watching_trips_jun_sep_british_columbia’ data layer summarizes commercial whale watching trips that took place in 2019, 2020 and 2021 during the summer months (June to September). The second data layer, ‘wildlife_viewing_events_jun_sep_british_columbia’ contains estimated wildlife viewing events carried out by commercial whale watching vessels for the same years (2019, 2020 and 2021) and months (June to September). Commercial whale watching trips and wildlife viewing events are summarized using the same grid, and they can be related using the unique cell identifier field ‘cell_id’. The bulk of this work was carried out at University of Victoria and was funded by the Marine Environmental Observation, Prediction and Response (MEOPAR) Network under the ‘Whale watching AIS Vessel movement Evaluation’ or WAVE project (2018 – 2022). The aim of the WAVE project was to increase the understanding of whale watching activities in Canada’s Pacific region using vessel traffic data derived from AIS (Automatic Identification System). The work was finalized by DFO Science in the Pacific Region. These spatial data products of commercial whale watching operations can be used to inform Marine Spatial Planning, conservation planning activities, and threat assessments involving vessel activities in British Columbia. Methods: A list of commercial whale watching vessels based in British Columbia and Washington State and their corresponding MMSIs (Maritime Mobile Service Identity) was compiled from the whale watching companies and Marine Traffic (www.marinetraffic.com). This list was used to query cleaned CCG AIS data to extract AIS positions corresponding to commercial whale watching vessels. A commercial whale watching trip was defined as a set of consecutive AIS points belonging to the same vessel departing and ending in one of the previously identified whale watching home ports. A classification model (unsupervised Hidden Markov Model) using vessel speed as the main variable was developed to classify AIS vessel positions into wildlife-viewing and non wildlife viewing events. Commercial whale watching trips in the south and north-east of Vancouver Island were limited to a duration of minimum 1 hour and maximum 3.5 hours. For trips in the west coast of Vancouver island the maximum duration was set to 6 hours. Wildlife-viewing events duration was set to minimum of 10 minutes to a maximum of 1 hour duration. For more information on methodology, consult metadata pdf available with the Open Data record. References: Nesdoly, A. 2021. Modelling marine vessels engaged in wildlife-viewing behaviour using Automatic Identification Systems (AIS). Available from: https://dspace.library.uvic.ca/handle/1828/13300. Data Sources: Oceans Network Canada (ONC) provided encoded AIS data for years 2019, 2020 and 2021, within a bounding box including Vancouver Island and Puget Sound used to generate these products. This AIS data was in turn provided by the Canadian Coast Guard (CCG) via a licensing agreement between the CCG and ONC for the non-commercial use of CCG AIS Data. More information here: https://www.oceannetworks.ca/science/community-based-monitoring/marine-domain-awareness-program/ Molly Fraser provided marine mammal sightings data collected on board a whale watching vessels to develop wildlife-viewing events classification models. More information about this dataset here: https://www.sciencedirect.com/science/article/pii/S0308597X20306709?via%3Dihub Uncertainties: The main source of uncertainty is with the conversion of AIS point locations into track segments, specifically when the distance between positions is large (e.g., greater than 1000 meters).

Herring biological (fish and sample) data as part of Herring Stock Assessment database

Herring Section shapefile - used for spatial analysis/presentation of data from Herring Stock Assessment Database.

A literature review, focusing on oil sand products (e.g., diluted bitumen), diluents, spill-treating agents, and crude oil toxicology and ecological studies, relevant to the northeast Pacific was compiled as part of the Government of Canada’s World Class Tanker Safety program. Of the 763 references identified, 14 involved diluted bitumen and other heavy crude oils, indicating the need for further research of these products in the marine environment. Diluent research suggests relatively fast evaporation and dispersion times for this component, however high toxicities may pose a threat to marine biota. Historical studies indicate older dispersant formulations had potential ecological implications, therefore newer formulations, which have not been studied in detail, require full assessment. Consistent utilization of toxicology standards remains elusive, hindering species sensitivity analyses. Exxon Valdez literature demonstrates highly variable impacts from a single oil type and the need for baseline data, recovery status, and suitable ecological end-point determination.

The __Counties of British Columbia__ contains areas of land within the Province of British Columbia representing legally defined administrative areas described in the County Boundary Act. The purpose of this division is for the administration of justice. The counties were delineated using provincial base mapping features, following the metes and bounds descriptions in the Letters Patent. A polygon dataset that includes all of the administrative areas currently in the __Administrative Boundaries Management System (ABMS)__ is available [here](https://catalogue.data.gov.bc.ca/dataset/legally-defined-administrative-areas-of-bc). A complimentary point dataset that defines the administrative areas is also available [here](https://catalogue.data.gov.bc.ca/dataset/legally-defined-administrative-areas-of-bc-boundary-locations). The Legal document which divides the province of British Columbia into counties is available [here](http://www.bclaws.ca/civix/document/id/complete/statreg/96075_01). Other individual datasets are available from the following records: https://catalogue.data.gov.bc.ca/dataset/province-of-british-columbia-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/municipalities-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/regional-districts-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/electoral-areas-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/islands-trust-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/local-trust-areas-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/sh-sh-lh-nation-legally-defined-administrative-areas-of-bc

Pacific Herring roe catch data for British Columbia. There are five major stock assessment regions: Haida Gwaii, Prince Rupert District, Central Coast, Strait of Georgia, and West Coast of Vancouver Island; and two minor stock assessment regions: Area 2W and Area 27. Catch that occurred outside of the major and minor stock assessment regions is recorded as ‘other’. Herring roe catch data is maintained in the Herring stock assessment database. The sum of catch is in metric tonnes for a specified time frame, geographical location, and gear type. Due to privacy, catch where less than three parties fished in a given area and time frame cannot be released. In these cases, ‘WP’ will appear in this field.

This dataset provides projected 30-year, 50-year, and 100-year return levels for harbours in British Columbia by 2050 and 2100 under a high emission scenario SSP585, relative to the mean sea level over 1993-2020. The return levels are a combination of estimated present extreme sea levels and projected mean sea level rise. The present extreme sea levels are derived from hourly coastal sea levels for the period from 1993 to 2020, simulated using a high-resolution Northeast Pacific Ocean Model (NEPOM). The projected mean sea level rise is derived from the regional mean sea level rise data of the IPCC 6th Assessment Report under SSP585, adjusted for the local vertical land motion.

Fisheries and Oceans Canada has conducted a cumulative human impact mapping analysis for Pacific Canada to support ongoing Marine Spatial Planning. Cumulative impact mapping (CIM) combines spatial information on human activities, habitats, and a matrix of vulnerability weights into an intuitive relative ‘cumulative impact score’ that shows where cumulative human impacts are greatest and least. To map cumulative impacts, a recently developed ecosystem vulnerability assessment for Pacific Canadian waters (Murray et al. 2022) was combined with spatial information on thirty-eight (38) different habitat types and forty-five (45) human activities following the methodology from Halpern et al.(2008) and Murray et al. (2015). The cumulative impact map is provided in a 1x1 km grid used for oceans management by Fisheries and Oceans Canada. For further information, please contact the data provider.