All fundamental watershed polygons generated from watershed boundary lines, bank edges, delimiter edges, coastline edges, and administrative boundary edges

SAMPLING POINTS FOR THE QUALO program, shoreline water quality of the aquatic environment monitoring network.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Phytoplankton species abundance (cell/L) and oceanographic conditions (temperature, salinity, chlorophylle-a (mg/m³) for some years and nutrient content (mmol/m³)) at stations of the Harmful Algae Monitoring Programme (HAMP) from1994 to 2016.The layer presents the station positions of the HAMP. Two files are attached to each station: one containing the cell counts and the second the oceanographic conditions.PurposeThe summer growth of many toxic and harmful microalgae species poses a serious threat for the public health and commercial or recreational exploitation of some marine species.The Department of Fisheries and Oceans (DFO) initiated the Harmful Algae Monitoring Programme (HAMP) in 1989 in order to complete the monitoring program for paralytic shellfish poisoning (PSP). Under the responsibility of Maurice-Lamontagne Institute scientists, the HAMP is to monitor, by means of a coastal station network, the natural occurrence of toxic and harmful algae in the St. Lawrence in order to determine their spatio-temporal distribution and the environmental conditions leading to their bloom.The network is made up of 11 coastal stations which are sampled every week from April to November and which are established along Quebec eastern shores. It extends from Tadoussac to Tête-à-la-Baleine on the St. Lawrence north shore and from Sainte-Flavie to Carleton on the south shore along the Gaspé peninsula. Another station is located in Havre-Aux-Maisons, Magdalen Islands.The HAMP was discontinued in 2010 but opportunistic samplings are still done at some stations.Additional informationThe sampling and analysis protocol is described in details in the following publication apart from the fact that the number of identified and counted species significantly has been increasing with time. Phytoplankton samples are preserved in a lugol solution.Blasco D., M. Levasseur, R. Gélinas, R. Larocque, A.D. Cembella, B. Huppertz et E. Bonneau.1998. Monitorage du phytoplancton toxique et des toxines de type IPM dans les mollusques du Saint-Laurent: 1989 à 1994. Rapp. stat. can. hydrogr. sci. océan. 15 1 : x i-117 p.

Data from the QUALO program, shoreline water quality from the Aquatic Environment Monitoring Network.An [interactive map] (https://experience.arcgis.com/experience/38d7c7bb43da4e2082aa836689d0d318/) is also available.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The dataset represents known concentration areas of harvested or unharvested Softshell clam (Mya arenaria) in the intertidal zone of the Estuary and the Gulf of St. Lawrence, Quebec region. The dataset was created for the National environmental emergencies centre (NEEC) for preparation and response in case of an oil spill. Concentration areas were defined using Fisheries and Oceans Canada (DFO) inventories conducted between 2000 and 2020.This layer is dependent on the inventories carried out and thus only represents known clam areas. For example, for the Haute-Côte-Nord, inventories have been limited to areas open to harvesting (with the exception of 4 sectors), but it is known that the Softshell clam is also present outside these areas. In addition, little information was available for the Moyenne and Basse-Côte-Nord.This data layer does not represent the general distribution of the species nor the extent to which fishing is allowed. The extent of shellfish beds may vary over time in response to, among others harvesting and the recruitment rates. The boundaries of polygons from inventory data may be underestimated relative to the actual size of the deposit since the inventories were conducted at the location where the resource is most abundant, without necessarily sampling the entire bed. However, the accuracy is sufficient for the protection and management needs of the resource in the event of an environmental incident. Data sources and references:Brulotte, S. 2011. Évaluation des stocks de mye commune des eaux côtières du Québec. Secr. can. de consult. sci. du MPO. Doc. de rech. 2011/044. x + 53 p.Brulotte, S. 2018. Évaluation de la mye commune (Mya arenaria) des eaux côtières du Québec en 2016 – méthodologie et résultats. Secr. can. de consult. sci. du MPO. Doc. de rech. 2018/004. ix + 60 p.Brulotte, S. 2020. Évaluation des stocks de la mye commune (Mya arenaria) des eaux côtières du Québec en 2019 – méthodologie et résultats. Secr. can. de consult. sci. du MPO. Doc. de rech. 2020/055. vii + 43 p.Brulotte, S. 2022. Résultats des inventaires de gisements de mye commune (Mya arenaria) réalisés de 2016 à 2020 et mise à jour des résultats de ceux effectués de 2001 à 2014 au Québec. Secr. can. de consult. sci. du MPO. Doc. de rech. 2022/xxx. (in progress)Brulotte, S. and M. Giguère. 2003. Évaluation d'un gisement de mye commune (Mya arenaria) de l'embouchure de la rivière Mingan, Québec, Rapp. can. ind. sci. halieut. aquat. No. 2511: xi + 58.Brulotte, S., M. Giguère, S. Brillon and F. Bourque. 2006. Évaluation de cinq gisements de mye commune (Mya arenaria) aux Îles-de-la-Madeleine, Québec, de 2000 à 2003. Rapp. tech. can. sci. halieut. aquat. 2640 : xii + 92 p.Brulotte, S., Giguère, M. and Duluc, C. 2015. Essais de techniques de captage du naissain de mye commune (Mya arenaria) sur la rive nord de l’estuaire et du golfe du Saint-Laurent. Rapp. tech. can. sci. halieut. aquat. 3084 : ix + 60 p.Giguère, M., S. Brulotte and F. Hartog.2007. Évaluation de quelques gisements de mye commune (Mya arenaria) de la rive sud de l'estuaire du Saint-Laurent en 2005 et 2006. Rapp. can. ind. sci. halieut. aquat. No. 2738: xi + 107.Giguère, M., S. Brulotte, M. Boudreau and M.-F. Dréan. 2008. Évaluation de huit gisements de mye commune (Mya arenaria) de la rive nord de l’estuaire du Saint-Laurent de 2002 à 2008. Rapp. tech. can. sci. halieut. aquat. 2821 : x + 91 p.Roy, I., M. Giguère, S. Brulotte and M. Gagnon. 2003. Évaluation de douze gisements de mye commune (Mya arenaria) du sud de la Gaspésie, Rapp. Tech. can. sci. halieut. aquat. 2469: xvi + 140 p.

Layer that includes the known information on coastal presence for lumpfish in the St. Lawrence River and Estuary according to a literature review of documents produced between 1987 and 1999.Additional InformationLumpfish's coastal presence was produced according to a literature review of the following documents:Association Québécoise des Techniciens(nes) en Aménagement Cynégétique et Halieutique (AQTACH). 1987. Suivi des captures de cinq pêches à fascines de la rive nord du Saint-Laurent. Document présenté au ministère du Loisir, de la Chasse et de la Pêche – Direction régionale de la Côte-Nord. 50 p.Bérubé, S. Lambert, J.-D. 1999. Communautés ichtyennes côtières de l'estuaire du Saint-Laurent en 1996 et 1997 : suite du suivi ichtyologique (1986-1995). Rapp. tech. can. sci. halieut. aquat., 2281, 62 p.Naturam Environnement. 1997. Acquisition de connaissances et mise en valeur des habitats du poisson du complexe Baie Verte/Baie Laval, phase 3 : rapport final. Document réalisé par la Corporation de développpement de la Baie Verte avec l'aide du MPO dans le cadre du Plan d'action pour l'habitat du poisson.

Ecological Reserves are part of a network of Designated Areas. The goal of the network is to create and maintain a comprehensive, dynamic and accessible data set (digital map) that accurately defines land areas in Saskatchewan that have various levelUnique ecological reserves that are designed to protect representative areas of natural landscapes and to conserve biological diversity.

The Remote Communities Energy Database is a public resource that provides pertinent factual information about the generation and use of electricity and other energy sources for all remote communities in Canada. Communities are identified as remote communities if they are not currently connected to the North-American electrical grid nor to the piped natural gas network; and is a permanent or long-term (5 years or more) settlement with at least 10 dwellings.The Remote Communities Energy Database is the only national data source on energy in remote communities that is publically available on one centralized site. The Remote Communities Energy Database allows users to search and conduct analyses of remote communities and their energy context. Users are also able download the data from the Remote Communities Energy Database dataset in CSV (i.e., excel compatible) format. This data is collected from a number of sources including the remote communities themselves, local utilities, provincial and territorial government’s, Indigenous and Northern Affairs Canada (INAC), Statistics Canada, Natural Resources Canada (NRCan) and various other stakeholders.

This inventory, conducted from September 26th to October 3th, 2019, aimed to describe the community structure of macroalgae and benthic macroinvertebrates of five small estuaries of the Upper North Shore of Quebec, namely Barthélemy Bay and the Colombier, Mistassini, Franquelin and Saint-Nicolas rivers. This inventory is part of a doctoral study of Valentine Loiseau on the global changes in the St. Lawrence system, mainly the study of marine benthic communities in response to changes of salinity, to ensure proper management of the environment in the face of future changes. The main objective is to describe the structure and the levels of specific diversities of mediolittoral communities of benthic macroinvertebrates and macroalgae along a salinity gradient. These five small estuaries were selected because of their similar size, hard substrates and easy access. Three levels of hypoosmotic stress (low, medium, high) and one control level (seawater) were used for each of the selected estuaries, with eight quadrats per stress level. Quadrat positions were randomly selected but had to meet two criteria: (1) regular height in the foreshore to control the influence of other stresses (temperature, exposure); and (2) presence of at least one macroalga to maintain homogeneity. A percentage cover by macroalgal and macroinvertebrate species was estimated, and then all organisms were weighed by species and size group. The salinity of the nearest water point was measured at mid-tide with a portable refractometer and a Castaway-type CTD (Conductivity-Temperature-Density) probe. The inventory was done using a stratified random sampling design and the sampling unit was a quadrat measuring 25 x 25 cm. The three files provided (DarwinCore format) are complementary and are linked by the "eventID" key. The "event_information" file includes the generic information of the quadrat, including date and location. The "additional_information_event_and_occurrence" file includes salinity and substrate type of the quadrat, as well as the total weight of all individuals of the same species caught in the quadrat extrapolated to one square metre of surface. For nudibranchs and barnacles, weight was estimated from the size of the individuals so that they were not removed from the environment. The "taxon_occurrence" file includes the taxonomic inventory of macroalgal and benthic macroinvertebrate species observed in the quadrat, identified to the lowest possible species or taxonomic level and biomass by identified species.For quality control, organisms were identified on the field using the following guide: Chabot, Robert et Anne Rossignol. 2003. Algues et faune du littoral du Saint-Laurent maritime : Guide d'identification. Institut des Sciences de la mer de Rimouski, Rimouski ; Pêches et Océans Canada (Institut Maurice-Lamontagne), Mont-Joli. 113 pages. The taxonomy was checked against the World Register of Marine Species (WoRMS) to match recognized standards and using the R obistools and worrms libraries. The WoRMS match was placed in the "scientificNameID" field of the occurrence file. All sample locations were spatially validated. This project was funded by DFO Coastal Environmental Baseline Program under Canada’s Oceans Protection Plan. This initiative aims to acquire environmental baseline data contributing to the characterization of important coastal areas and to support evidence-based assessments and management decisions for preserving marine ecosystems.

The National Hydro Network (NHN) focuses on providing a quality geometric description and a set of basic attributes describing Canada's inland surface waters. It provides geospatial digital data compliant with the NHN Standard such as lakes, reservoirs, watercourses (rivers and streams), canals, islands, drainage linear network, toponyms or geographical names, constructions and obstacles related to surface waters, etc. The best available federal and provincial data are used for its production, which is done jointly by the federal and interested provincial and territorial partners. The NHN is created from existing data at the 1:50 000 scale or better. The NHN data have a great potential for analysis, cartographic representation and display and will serve as base data in many applications. The NHN Work Unit Limits were created based on Water Survey of Canada Sub-Sub-Drainage Area.