A population ecumene is the area of inhabited lands or settled areas generally delimited by a minimum population density. This ecumene shows the areas of the densest and most extended population within census divisions. Census divisions are the provincially legislated areas (such as county, municipalité régionale de comté, and regional district) or their equivalents. Census divisions are intermediate geographic areas between the province or territory level and the municipality (census subdivision). For further information, consult the Statistics Canada’s 2016 Illustrated Glossary (see below under Data Resources).The assemblage of dissemination area population density data from the 2016 Census of Population are used to form the ecumene within census divisions. Areas included in the ecumene are dissemination areas where the population density is greater than or equal to 0.4 persons per square kilometre or about one person per square mile. In some areas to capture more population within the ecumene the criteria was extended to 0.2 persons per square kilometre. The ecumene areas were generalized in certain areas to enhance the size of some isolated ecumene areas in northern Canada.This map can be used as an “ecumene” overlay to differentiate the sparsely populated areas from the ecumene in conjunction with census division data or other small-scale maps. This ecumene shows a more meaningful distribution of the population for Canada.

The locations of coastal British Columbia recreational and pleasure craft cruising routes. The Coastal BC datasets are circa 2004 and legacy in nature. Caution should be exercised when using this data, as it may not be accurate or complete. There are currently no plans to update.

This service shows the percentage of population aged 25 to 64 years in private households with a postsecondary certificate, diploma or degree by census subdivision, 2016. The data is from the Census Profile, Statistics Canada Catalogue no. 98-316-X2016001.This data pertains to the population aged 25 to 64 years in private households by the highest level of education that a person has successfully completed. Persons with a post-secondary certificate, diploma or degree includes those with an apprenticeship or trades certificate or diploma; a college, CEGEP or other non-university certificate or diploma; a university certificate or diploma below bachelor level or a university certificate, diploma or degree at bachelor level or above. For additional information refer to the 2016 Census Dictionary for ' Highest certificate, diploma or degree'.For additional information refer to the 2016 Census Dictionary for ' Highest certificate, diploma or degree'. To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census subdivision” web service, accessible in the data resources section below.

This service shows the percentage of population aged 25 to 64 years in private households with a postsecondary certificate, diploma or degree by census division, 2016. The data is from the Census Profile, Statistics Canada Catalogue no. 98-316-X2016001.This data pertains to the population aged 25 to 64 years in private households by the highest level of education that a person has successfully completed. Persons with a post-secondary certificate, diploma or degree includes those with an apprenticeship or trades certificate or diploma; a college, CEGEP or other non-university certificate or diploma; a university certificate or diploma below bachelor level or a university certificate, diploma or degree at bachelor level or above. For additional information refer to the 2016 Census Dictionary for ' Highest certificate, diploma or degree'.For additional information refer to the 2016 Census Dictionary for ' Highest certificate, diploma or degree'.To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census division” web service, accessible in the data resources section below.

These shorebird surveys are conducted intermittently at a series of sites near the town of Tofino on the west coast of Vancouver Island, British Columbia, during northward (April to May) and southward migration (July to November). This survey includes all shorebird species.Surveyors used binoculars or a spotting scope to count the total number of shorebirds present within the natural boundaries of each survey site during the northward and/or southward migration periods. They used a boat to count birds within the entire area of Arakun Flats and Ducking Flats by traveling along the outer edge of the mudflats, and by stopping at standardized vantage points on land. They also used a boat to view as much area as possible within Maltby Slough, South Bay and Grice Bay from the openings to each of these bays. Surveyors walked the entire length of Chesterman Beach including the tombolo to Frank Island. Surveys were done at least twice a week at each site. Most boat surveys began at low tide when the mudflats were exposed and continued on the rising tide. Road accessible sites were usually surveyed during the hour before high tide or at high tide in 2011. Surveys were not conducted in weather that reduced visibility or made boat travel unsafe (heavy rain or high wind).Surveyors counted birds individually when they were within flocks of fewer than 200 birds. They estimated the size of larger flocks by counting 50 or 100 birds and then judged how many similar-sized groups made up the entire flock. Distant flocks were recorded as small or large shorebirds and assumed to have the same species composition as those closer to shore in 1995 or identified to species group and recorded as either “dowitchers” or “peeps” in 2011.

A Culvert is a pipe (less than 3m in diameter) or half-round flume used to transport or drain water under or away from the road and/or right of way. Culverts that are greater than or equal to 3m in diameter are stored in the MoT Bridge Structure Road Dataset. It is a Point feature

This theme presents observations of invasive exotic species (IAS)transmitted and validated using the Sentinelle tool, an EEE detection system.An invasive exotic species is a plant, animal or microorganism (virus,bacteria or fungi) that are introduced outside of their natural range. Sonestablishment or its spread may pose a threat to the environment,the economy or society. The species listed are species of fauna and floraconcerning (or potentially worrying) for Quebec's biodiversity. Ellesinclude EEE present in Quebec and EEE not listed in Quebec atmonitor.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

PURPOSE:To gather localized high-quality data for mapping eelgrass distribution in bays and estuaries in the Gulf Region of Atlantic Canada.DESCRIPTION:Between 2018 and 2023, a total of 48 coastal sites in New Brunswick (NB), Prince Edward Island (PE), and Nova Scotia (NS) have been fully processed for eelgrass presence/absence and depth information.An additional 18 sites from the same region and time period (2018–2023) have data collected but not yet fully processed for depth and eelgrass classification. These sites will be incorporated into the dataset as processing is completed. PARAMETERS COLLECTED:Geographic coordinates, timestamp, submerged aquatic vegetation presence.NOTES ON QUALITY CONTROL:BioSonics Visual Aquatic was used to process raw dt4 files by delineating the bottom and submerged aquatic vegetation (SAV) heights. Initial delineation of the estuary bottom was performed using an automated algorithm within the software, followed by manual adjustments to refine the delineation as needed. An algorithm was then used to delineate vegetation, which was edited visually by referring to written ground-truthing notes and underwater photos taken with a GoPro underwater camera with GPS capacity. Expert advice within DFO was used to advise the analysts on best practices and subtleties in the echograms. All efforts were made to ensure vegetation mapped was eelgrass, but in some cases, such as where the acoustic response was not clear or ground-truthing notes were lacking, it is possible that other types of SAV were included.The processed data were exported from BioSonics Visual Aquatic aggregating sets of 10 pings that were in very close proximity. Grouped pings with a vegetation canopy height >= 0.1 m were assigned an eelgrass presence (i.e., "EG_Presence") value of "Y", while grouped pings with a height < 0.1 m were assigned a presence value of "N".SAMPLING METHODS:Acoustic data were collected during the summer or early fall season (varies depending on the site) by the Southern Gulf of St. Lawrence Coalition on Sustainability (Coalition-SGSL) in partnership with Fisheries and Oceans Canada (DFO) Gulf Region. At some sites, the Province of New Brunswick's Department of Agriculture, Aquaculture and Fisheries (NBDAAF) also collected data using their boat. BioSonics MX Aquatic Habitat Echosounder units with a single beam (8.7°) 204.8kHz transducer (mounting height varied depending on the boat used) was used for data collection by all parties. Positioning was achieved using the BioSonics internal GPS through 2020, then subsequently an external GPS unit (Hemisphere S631 RTK GPS) was used to improve positioning from 1-2m accuracy to ~20cm when differential was obtained. BioSonics Visual Acquisition software was used to collect the data.USE LIMITATION:This product is provided as-is and has not been accuracy-assessed against other data. Since there were no transect-independent ground-truthing points surveyed, the accuracy of any interpolated surfaces created from this data cannot be known.Not for use without inclusion of full metadata. The data products are supplied "as they stand" and DFO does not guarantee the integrity, the completeness, or the accuracy.There were issues with the internal GPS of the BioSonics unit, and their impact on positional accuracy has yet to be determined. Beginning in 2021, an external, higher precision GPS unit was used to increase accuracy.Use of various boats and surveyors, as well as analysts, can introduce some inconsistencies in the data collection and analysis between sites and years. Site-specific characteristics such as mixed submerged aquatic vegetation can complicate mapping efforts. Shallow areas can also be challenging to delineate accurately since the bottom and/or the vegetation can extend higher than the mounted transducer. In these cases, a best estimate was used by the analyst.Weather conditions such as wind can affect the accuracy of the results, as the transponder may pitch and roll with the boat, while increased sediment in the water can interfere with the signal. Single-beam acoustic data has a very small focus footprint, which varies with depth, so it should not be considered a comprehensive bottom mapping tool. However, it does provide valuable point data that can indicate presence of vegetation, canopy height, relative depth, and ground-truthing for other mapping techniques (e.g. aerial or satellite imagery). For example, at 1 m depth, the 8.6 degree single-beam used for this work has a footprint of approximately 0.0177 square metres, and at 2 m depth that footprint becomes 0.0711 square metres.

Projects submitted to Transport Canada’s Navigation Protection Program. Please note that where appropriate, the content is displayed in the language of the original submission and has not been altered.

An Element Occurrence (EO) is an area of land and/or water in which a species or ecological community is, or was, present. An Element is either a species (or subspecies taxa) or an ecological community, the Occurrence is the documented location. The EO concept is part of NatureServe methodology. This methodology is used throughout the NatureServe network. EOs are created based on the Element Occurrence Data Standard and are a derived product developed from submitted observations. An EO should have practical conservation value for the Element as evidenced by potential continued (or historical) presence and/or regular recurrence at a given location. For Species Elements, the EO often corresponds with the local population, but when appropriate may be a portion of a population (e.g., for long distance dispersers) or may be a group of nearby populations (e.g., metapopulation). For Ecological Community Elements, the EO may represent a stand or patch of a natural community, or a cluster of stands or patches of a natural community. This dataset contains Non-sensitive EOs. Non-Sensitive EOs are locations (i.e. occurrences) of species or communities that are rare (or of conservation concern for some other reason) and for which there are no restrictions regarding public access to location data (beyond agreeing to the Terms and Conditions detailed below). This data updates on a daily basis.