RI_540
Type of resources
Available actions
Topics
Keywords
Contact for the resource
Provided by
Formats
Representation types
Update frequencies
status
Scale
Resolution
-
The spatial record for all the province's geographic areas affected by provincial level, area-specific land use policy. This layer may contain geometry from the: * provincial parks-regulated layer * conservation reserves-regulated layer * natural heritage values area layer * wilderness areas layer * crown land MNR acquisitions layer * crown land MNR unpatented layer * CLUPA geometry (enhanced management areas and general use areas) layer Not to be used as a source of protected areas (provincial park, conservation reserve, etc.), crown land or private land boundaries. Official GEO title: CLUPA Provincial
-
Two classes of beaches are distinguished, those with infrastructure and those without. Beaches with infrastructure: open sandy beaches along the shore of a great lake, within approximately 200 meters of a structure. Beaches without infrastructure: open sandy beaches along the shore of a great lake, not within 200 meters of a structure. The Southern Ontario Land Resource Information System didn't digitize beaches. Beaches were digitized by Austin Troy from Google Earth. This product requires the use of GIS software. *[GIS]: geographic information system
-
## Get data on boundaries of local climatic areas used for forest fire weather forecasting. This dataset shows the boundaries of administrative areas used for forest fire weather forecasting. North of the French River, boundaries correspond closely with Environment Canada’s areas for public weather forecasting. South of the French River, 25 Environment Canada areas are combined into six larger areas for provincial forecasting.
-
The flood magnitude statistics can be used for applications such as flood plain delineation and design of hydraulic structures. The drought severity statistics can be used for applications such as water abstraction and effluent dilution.
-
Catch, effort, location (latitude and longitude), and associated biological data from groundfish multi-species longline surveys in the southern portion of the inlets and protected waters east of Vancouver Island, British Columbia. Introduction The Inside South Hard Bottom Longline (HBLL) survey is one of a set of long-term and coordinated surveys that together cover most of the nearshore, hard-bottom habitat of coastal British Columbia. The other surveys are the Inside North HBLL survey, Outside South HBLL survey, and Outside North HBLL survey. The Inside South HBLL survey was first conducted in 2005. Starting in 2009, this survey has been repeated every second year, with the exception that no surveys were conducted in 2017, and the 2020 survey was postponed to 2021 due to the COVID-19 pandemic. The objective of these surveys is to provide fishery-independent abundance indices and associated biological data for the assessment of nearshore rockfishes and other groundfish species that live on untrawlable, hard bottom habitats. The surveys follow a random depth-stratified design and the sampling units are 2 km by 2 km blocks. The surveys use size 13/0 circle hooks, baited with frozen squid. The Inside South HBLL Survey is conducted by Fisheries and Oceans Canada (DFO) and takes place on the Canadian Coast Guard Research Vessel Neocaligus. This survey covers the southern portion of the inlets and protected waters east of Vancouver Island, including Desolation Sound, the Strait of Georgia and southern Gulf Islands in Pacific Fishery Management areas (PFMAs) 14 – 20, 28, and 29. Effort This table contains information about the survey trips and fishing events (sets) that are part of this survey series. Trip-level information includes the year the survey took place, a unique trip identifier, the vessel that conducted the survey and the trip start and end dates (the dates the vessel was away from the dock conducting the survey). Set-level information includes the date, time, location and depth that fishing took place, soak time, hook spacing, and numbers of hooks counted. All successful fishing events are included, regardless of what was caught. Catch This table contains the catch information from successful fishing events. Catches are identified to species or to the lowest taxonomic level possible. From 2005 to 2018, all catches are counted, and most catches are weighed; some catches are too small (“trace” amounts) or too large (e.g. very large Big Skate) to weigh. From 2020 onwards, catches are recorded as counts only. The unique trip identifier and set number are included so that catches can be related to the fishing event information (including capture location). Biology This table contains the available biological data for catches which were sampled. Data may include any or all of length, sex, weight, age. Different length types are measured depending on the species. Age structures are collected when possible for species where validated aging methods exist and are archived until required for an assessment; therefore, all existing structures have not been aged at this time. Tissue samples (usually a fin clip) may be collected for genetic (DNA) analysis for some individuals of particular species. Genetic samples may be archived until required for analysis; for more information please see the data contacts. The unique trip identifier and set number are included so that samples can be related to the fishing event and catch information.
-
All lake polygons for the province
-
Soil Survey Project Boundaries (soil mapping study areas) contains the soil survey project area and attributes describing each project (project level metadata), plus links to the locations of other data associated with the project (e.g., soil survey reports, polygon datasets, plotfiles, scanned maps, legends). Soil Mapping divides the landscape into units according to soil association, name, type, drainage, parent material, and texture. This layer is derived from the STE_TEI_PROJECT_BOUNDARIES_SP layer by filtering on the PROJECT_TYPE attribute. Project types include: SOIL, TIMSOI, and SOILSW. Current version: v11 (published on 2024-10-03) Previous versions: v10 (published on 2023-11-14), v9 (published on 2023-03-01), v8 (published on 2016-09-01) The Soil Survey dataset contains project boundaries as well as the soil survey polygons which are available in a variety of formats including: 1) via the [Soil Information Finder Tool](http://www2.gov.bc.ca/gov/content/environment/air-land-water/land/soil-information-finder) Mapping App (interactive app), 2) [Soil Survey Spatial data](https://catalogue.data.gov.bc.ca/dataset/soil-survey-spatial-view) with [Soil Name and Layer Files](https://catalogue.data.gov.bc.ca/dataset/soil-name-and-layer-files) (for download or viewing via iMapBC), or as 3) [Soil Mapping Data Packages](http://www.env.gov.bc.ca/esd/distdata/ecosystems/Soil_Data/Soil_Data_Pkgs/) with geodatabase or shape files, and a data dictionary.
-
Links the edge type codes used in the stream network layer with an English description used to categorize stream network features
-
All island polygons. Islands may overlap as there are islands within islands (e.g., a lake on an island contains an island). GNIS_NAME_1 contains the most atomic name for the island. For example, there are 3797 "Haida Gwaii" islands. If the island has not been named as part of a more specific group or with an individual name, "Haida Gwaii" is the GNIS_NAME_1 value. GNIS_NAME_2 and GNIS_NAME_3 values are null. If the island has a more specific name, "Haida Gwaii" moves to GNIS_NAME_2, and the more atomic name, such as "Moresby Island" is the GNIS_NAME_1. If the island has an individual name, belongs to a group, and is part of Haida Gwaii, the same logic of naming from most to least specific applies. For example, GNIS_NAME_1 = "George Island", GNIS_NAME_2 = "Copper Islands", GNIS_NAME_3 = "Haida Gwaii".
-
Concentrations of sea pens, small and large gorgonian corals and sponges on the east coast of Canada have been identified through spatial analysis of research vessel survey by-catch data following an approach used by the Northwest Atlantic Fisheries Organization (NAFO) in the Regulatory Area (NRA) on Flemish Cap and southeast Grand Banks. Kernel density analysis was used to identify high concentrations. These analyses were performed for each of the five biogeographic zones of eastern Canada. The largest sea pen fields were found in the Laurentian Channel as it cuts through the Gulf of St. Lawrence, while large gorgonian coral forests were found in the Eastern Arctic and on the northern Labrador continental slope. Large ball-shaped Geodia spp. sponges were located along the continental slopes north of the Grand Banks, while on the Scotian Shelf a unique population of the large barrel-shaped sponge Vazella pourtalesi was identified. The latitude and longitude marking the positions of all tows which form these and other dense aggregations are provided along with the positions of all tows which captured black coral, a non-aggregating taxon which is long-lived and vulnerable to fishing pressures.
Arctic SDI catalogue