This theme, which lists more than 1,300 fishing sites in Quebec and nearly forty fish species, provides information on the consumption of sport fishing fish according to species and their size. The number of meals is determined on a monthly basis by calculating that one meal is equivalent to a 230-gram portion (8 ounces before cooking) of freshwater fish caught in Quebec. The main factors in determining the degree of contamination of the flesh of fish caught in a given location are the species and the size: small, medium and large. The recommendations in the data layer take into account both of these factors. The rules presented in it are intended to warn against the risks associated with the consumption of fish in the long term. They are particularly relevant for people who are in the habit of consuming fish frequently. They are valid at all times, unless otherwise advised by public health officials in your area.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Areas of responsibility for fisheries biologists within Saskatchewan. Administrative boundaries for fisheries biologists in Saskatchewan. The province is divided into 6 areas in which individual biologists are responsible for all aspects of fisheries management. Prince Albert National Park is not managed by the province and falls under federal jurisdiction.

These datasets show the general spatial distribution of commercial fishing harvest and landed values by fishery on a 1km x 1km planning grid. They aggregate key statistics around fleet specific fishing activity and catch in British Columbia (BC) within the exclusive economic zone (EEZ). These gridded data describe the annual average landed weight (Rounded KGs), and landed catch values (CAD $2016) of the subject fishery over the period. The data represented were created from logbook records and matched to prices from fish slips submitted to DFO by participants of BC’s commercial fishing fleets. The dataset is comprised of an aggregate of all species over 10, 9, or 5 years of fishing seasons, depending on the fishery. To preserve potentially proprietary information, a privacy filtering Rule of Five has been applied to each planning unit (each 1km x 1km planning unit). If any planning units do not meet this minimum of 5 unique vessels/unique identifiers during the time span then they are flagged as being filtered and an average of all filtered planning units is applied. The accompanying GeoDB contains two data layers, “all_fisheries_filtered_gridded “, which includes all of the commercial fisheries data in 1km x 1km grids, and “DFO_marine_bioregions_NSB_subregions”, which includes polygon feature boundaries for the federal marine bioregions and Northern Shelf bioregion sub-regions. This dataset contains data for the following fisheries: - Bottom trawl (2012-2016) - Midwater trawl (2012-2016) - Shrimp by trawl (2007-2016) - Prawn trap (2007-2016) - Rockfish (2012-2016) - Sablefish (2007-2016) - Halibut (2007-2016) - Combo trips - halibut/sablefish (2007-2016) - Lingcod (2007-2016) - Green sea urchin (2006-2015) - Red sea urchin (2007-2015) - Sea cucumber (2008-2016) - Geoduck (2007-2015)

Saskatchewan Sport Fish Management Zones as described in the fisheries regulations. Spatial dataset created to represent the provincial sport fishing management zones within Saskatchewan as described in Table 5 of the Fisheries Regulations.  Saskatchewan is divided into three management zones for angling regulations.  Differences in the opening and closing dates for the angling season occur between zones, with certain lakes in each zone having special regulations applied to them.  Consult the Anglers’ Guide for further information on specific dates and/or limits.

An interactive web application illustrating the locations of commercial fisheries, commercial fish species production (kg) for the 2016 calendar year. This interactive web application shows the locations of commercial fisheries and commercial fish species production (kg) in Manitoba, by community. It names the communities involved in the industry, shows the number of fishers by community and also shows the location of packing sheds across Manitoba. For each location, pop ups provides additional information, including the round weight (kg) by species for the 2016 calendar year. This application is populated by the web map: Manitoba Commercial Fishing Industry Map.

This dataset identifies the geographic locations of marine ports, terminals, shipyards, and harbours on the west coast of British Columbia. The points were reviewed and cross referenced with government and industry data sources for geographic and attribute data accuracy.

The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.

The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.

The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.

The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.