RI_542
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Natural areas abutting Lake Simcoe are areas of a continuous vegetation community class that have a minimum size of 1 ha and are wholly or partially within the 30 m buffer zone of the Lake Simcoe shoreline. These areas may be a narrow band of vegetation along the shoreline or larger areas, which extend a greater distance from the shoreline. As described in policy 6.31-SA, the MNR and the MOE will map the location of natural areas abutting Lake Simcoe.
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This data contains an Index identifying Ontario Base Map map tiles. Eastern and Southern Ontario is covered at a scale of 1:10,000. Northern Ontario is covered at a scale of 1:20,000. We are no longer updating this data. It is best suited for historical research and analysis. This product requires the use of GIS software. *[GIS]: geographic information system
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The West Nile virus (WNV) activity zone corresponds to the territory where WNV cases have been documented by human, animal, and entomological (mosquito) surveillance. This zone indicates where there is a higher probability of the virus being present in Quebec based on historical data. All surveillance data was aggregated to form the WNV's area of activity over the study period, by merging the 2 km resolution buffer zones and the municipalities of each mosquito case or batch. Outside of this area, the presence of WNV remains possible, but the virus has not been detected by surveillance. This can be explained, among other things, by the movements of infected birds and mosquitoes over varying distances. The climatic zone favorable to the transmission of WNV by Culex pipiens (one of the main vectors of the virus) highlights the territory where the estimated seasonal average temperature could be conducive to the transmission of WNV in Quebec. This zone is defined by a seasonal average temperature (calculated from April to September) greater than or equal to 14°C. The indicator was calculated for historical records 1989-2018 (current distribution) and for the horizons of 2030, 2050 and 2080 according to the greenhouse gas emissions scenarios SSP2-4.5 and SSP3-7.0 (future distribution). Seasonal mean temperatures were calculated during the WNV's active period (i.e. April to September) by adding up the daily maximum and minimum temperatures and then dividing them by two. These temperatures were generated with a resolution of 10 km x 10 km covering the whole of Quebec for time horizons and greenhouse gas emission scenarios. The final value for seasonal mean temperatures used is the 50th percentile. For more information on the area of activity of the WNV or the climatic zones favorable to the transmission of WNV by Culex pipiens, you can consult the [Mapping of the current and future distribution of West Nile virus in Quebec in the context of climate change] (https://www.inspq.qc.ca/publications/3693) OR the INSPQ website [Current and future distribution maps of zoonoses in Quebec] (https://www.inspq.qc.ca/zoonoses/cartes).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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NGO Nature Reserves are polygon features describing lands held by nature trusts and other non-government agencies for the purpose of nature conservation. We are no longer updating this data. It is best suited for historical research and analysis. This product requires the use of GIS software. *[NGO]: non-government agency *[GIS]: geographic information system
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Hydrographic surfaces cut within the official boundaries of the Montreal Metropolitan Community, including the territory of the Kahnawake reserve and excluding the agglomeration of Montreal. This dataset is complementary to the data from the [hydrography of the Montreal agglomeration] (https://donnees.montreal.ca/dataset/hydrographie). They are made available for use in a basemap to put the agglomeration of Montreal into context.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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Geometric and conventional representation of the hydrographic network. The 3D hydrographic layer is represented by several natural or physical elements associated with the presence of water. These elements form part of the layers in the digital cartographic compilation.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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Marine Protected Areas require comprehensive monitoring to ensure objectives are achieved; however, monitoring natural ecosystems at scale is challenged by the biodiversity it aims to measure. Environmental DNA (eDNA) metabarcoding holds promise to address this monitoring challenge. We conducted paired sampling at 54 sites for fish and invertebrate assemblages in the Northwest Atlantic using groundfish trawls and eDNA metabarcoding of benthic seawater using four genetic markers (12S rRNA, 16S rRNA, 18S rRNA, and CO1). Compared to trawling, eDNA detected similar patterns of species turnover, larger estimates of gamma diversity, and smaller estimates of alpha diversity. A total of 63.6% (42/66) of fish species captured by trawling were detected by eDNA, along with an additional 26 species. Of the 24 missed detections by eDNA, 12 were inevitable as they lacked reference sequences. Excluding taxa assigned to higher than species level and those without a species name, 23.6% (17/72) of invertebrate species captured by trawling were detected by CO1, which detected an additional 98 species. We demonstrate that eDNA is capable of detecting patterns of community assemblage and species turnover in an offshore environment, emphasizing its strong potential for a non-invasive, comprehensive, and scalable tool for biodiversity monitoring supporting marine conservation programmes. Cite this data as: Jeffery, N., Rubidge, E., Abbott, C., Westfall, K., Stanley, R. (2024): Data of: eDNA metabarcoding enriches traditional trawl survey data for monitoring biodiversity in the marine environment. Published: August 2024. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/43a91ba7-8025-4330-88db-db14022d729d
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The Nova Scotia Detailed Soil Survey dataset series at a scale of 1:50 000 consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF). Together, these Version 1 datasets describe the spatial distribution of soils and associated landscapes in Pictou County.
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The detailed hydrographic network shows all the flow channels visible on the territory of 12 MRCs in Montérégie. This photo-interpretation project was carried out on a scale varying from 1:500 to 1:2000, using orthophotos (spring 2020 at 20 cm resolution for the territory excluding CMM and spring 2018 at 10 cm resolution for the territory in CMM) and the shaded relief derived from LiDAR data (2008 to 2020). The project was carried out as part of the Regional Program for the Acquisition of Data on Wetlands and Water Environments (PRADMHH) and was funded by the Regions and Rurality Fund (FRR) of the Montérégie regional department of the MAMH.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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The ecological classification of Quebec territory consists of mapping and describing ecological units in a system with nine levels of perception between the continental and landscape scales. It presents the diversity of terrestrial ecosystems in all of Quebec taking into account both the characteristics of the vegetation (physiognomy, structure and composition) and the physical environment (relief, geology, geomorphology, hydrography). The nine levels that compose it are: the vegetation zone and sub-zone at the continental scale (1,000,000 km2), the bioclimatic domain and sub-domain at the national level (100,000 km2), the ecological region and subregion at the regional scale (10,000 km2) and the regional landscape unit, the ecological district and the vegetation stage at the landscape scale (10,000 km2) and the regional landscape unit, the ecological district and the vegetation stage at the landscape scale (100 to 1,000 km2).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**