In 2009, Fisheries and Oceans Canada published the Policy on Managing the Impacts of Fishing on Sensitive Benthic Areas. To support the implementation of this policy, a Canadian Science Advisory Secretariat (CSAS) process was initiated to: assess the distribution of fishing effort in Canada’s Atlantic and Eastern Arctic waters from 2005-2014, evaluate the overlap between fishing effort and Significant Benthic Areas (SiBAs), and identify areas of potential conservation concern. Although Research Document 2018/15 (Koen-Alonso et al. 2018), detailing this work, has not been updated since publication, the methodology outlined within it is still used to generate updated fishing effort layers as new data becomes available. This record illustrates cumulative fishing effort in Canada’s Atlantic and Eastern Arctic waters from 2005-2023, and is based on commercial logbook and vessel monitoring system (VMS) data. Fishing effort has been standardized into percentiles, whereby the top 20th percentile of intensity (cell values ≥20) represent cells containing the most intense fishing activities.

This dataset reports on lobster abundance and individual biological characteristics (size, sex, shell hardness, egg status), along with seabed substrate information, collected at various coastal sites in the Bay of Fundy, Canada. Surveys were conducted over a 40-year period between 1982 and 2021. Survey areas and SCUBA dive sites were located around Grand Manan Island, Deer Island, Campobello Island, and along the Bay of Fundy’s New Brunswick shore stretching from Passamaquoddy Bay, east to Maces Bay. One survey area was located on the Bay of Fundy’s southern shore (Nova Scotia) in the Annapolis Basin (Lawton et al. 1995). The data represent a compilation of SCUBA diving surveys (1003 belt transects) conducted directly by Fisheries and Oceans Canada (DFO) scientific SCUBA divers (1982-2019), or by contracted commercial divers funded in association with outside collaborating organizations; Department of Fisheries and Agriculture (DFA; 1990 – 1993), the Grand Manan Fishermen’s Association (GMFA; 2013-2015), and the University of New Brunswick (UNB; 2019-2021).Cite this data as: Lawton P, Dinning K, Rochette R, Teed L. American lobster (Homarus americanus) abundance and biological characteristics collected from SCUBA dive surveys in the Bay of Fundy from 1982-2021. Published August 2024. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B.For additional information please see:Campbell, A. 1990. Aggregations of berried lobsters (Homarus americanus) in shallow waters off Grand Manan, eastern Canada. DFO Can. J. Fish. Aquat. Sci. 47: 520-523.Denton, C.M. 2020. Maritimes Region Inshore Lobster Trawl Survey Technical Description. DFO Can. Tech. Rep. Fish. Aquat. Sci. 3376: v + 52 p.Lawton, P. 1993. Salmon aquaculture and the traditional invertebrate fisheries of the Fundy Isles region: habitat mapping and impact definition: Cooperation Agreement on Fisheries and Aquaculture Development. Submitted by Peter Lawton to the New Brunswick Department of Fisheries and Aquaculture, 84 p. Unpublished monograph. Available from Fisheries and Oceans Canada Library, Dartmouth, NS (Monographs: SH 380.2 .C2 .L39 1992).https://science-catalogue.canada.ca/record=3943769~S6Lawton, P., Robichaud, D.A., and Moisan, M. 1995. Characteristics of the Annapolis Basin, Nova Scotia, lobster fishery in relation to proposed marine aquaculture development. DFO Can. Tech. Rep. Fish. Aquat. Sci. 2035: iii + 26 p.Lawton, P., Robichaud, D.A., Rangeley, R.W., and Strong, M.B. 2001. American Lobster, Homarus americanus, population characteristics in the lower Bay of Fundy (Lobster Fishing Areas 36 and 38) based on fishery independent sampling. DFO Can. Sci. Advis. Sec. Res. Doc. 2001/093.Wentworth, C.K. 1922. A Scale of Grade and Class Terms for Clastic Sediments. The Journal of Geology 30(5): 377-392.Dinning, K.M., Lawton, P., and Rochette, R. 2025. Increased use of mud bottom by juvenile American lobsters (Homarus americanus) in Maces Bay and Seal Cove, Bay of Fundy, after three decades of population increases and predator declines. Canadian Journal of Fisheries & Aquatic Sciences 82; https://doi.org/10.1139/cjfas-2023-0312

Cartographic representations of Fisheries Management Areas (FMA)s in the Atlantic and Arctic Regions.Currently Published Fisheries Management Areas:CapelinCrabHerringMackerelSalmon, AtlanticScallopShrimpSnow CrabSquidEach polygon feature class delineates the coordinates of a different series of FMAs. Shapes have been drafted based on a combination of sources including: the Atlantic Fisheries Regulations, Integrated Fisheries Management Plans, indigenous treaties, the bounds of the Territorial Sea, and other information made public on Fisheries and Oceans websites. Information from Variation orders and Conditions of License were also incorporated. The specific sources used to construct each feature class is listed in its metadata and direct links to public sources are included.The original documentation uses a diverse combination datums, or include coordinates with no listed datum. This data series has been projected into NAD83. Vertices in this dataset may differ from the original source documents to fix slivers, make areas congruent with coastlines, or align with other administrative boundaries. Changes made to the original areas in order to make drafting possible have been highlighted in the comments field in the attribute tables. Lines were first drafted as geodesics and vertices were added to approximate loxodromes using the Construct Geodesic Tool in ArcGIS Pro 2.9.8.As documentation is drafted, additional FMAs will be added to the dataset. Currently drafted FMAs my change and expand into currently unmapped areas as new information is incorporated.The feature classes produced as a part of this data series are cartographic representations of legal documents and are meant to be used for general reference in support of marine planning. Whenever there is a difference between the original written source documentation and this digital representation, the originals should be considered authoritative. Every effort has been made to ensure that these files are as accurate as possible but these feature classes are not intended to be used for navigation, legal interpretation or enforcement.

The Government of Canada continues to strive to be ever more open and transparent. This means a government that is open by default providing better digital capacity and services for Canadians.Under a modernized Fisheries Act, Fisheries and Oceans Canada (DFO) has made available an online Fisheries Act (FA) Registry that facilitates access to data and information, including geospatial data, about projects as well as regulatory process information. The new online version of the FA Registry is now available to Canadians. The FA Registry is currently accessible through the Common Project Search Portal, a one-stop online location for Canadians to search and browse through DFO authorizations as well as projects and assessments submitted to the Impact Assessment Agency of Canada and Transport Canada.DFO will be undertaking continuous development of the Fisheries Act Registry. This release is the second step towards implementing the full FA Registry that will provide additional content as well as new features to the FA Registry, increasing transparency and proactive disclosure as well as improving digital capacity and service for Canadians.

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. 

Data layers show commercial fishery footprints for directed fisheries using bottom and pelagic longlines for groundfish and large pelagics respectively, and traps for hagfish, LFA 41 and Grey Zone lobster, snow crab, and other crab on the Scotian Shelf, the Bay of Fundy, and Georges Bank in NAFO Divisions 4VWX and Canadian portions of 5Y and 5Z. Bottom longline and trap fishery maps aggregate commercial logbook effort (bottom longline soak time and logbook entries) per 2-minute grid cell using 2002–2017 data. Pelagic longline maps aggregate speed-filtered vessel monitoring system (VMS) track lines as vessel minutes per km2 on a base-10 log scale using 2003–2018 data. The following data layers are included in the mapping service for use in marine spatial planning and ecological risk assessment: 1) multi-year and quarterly composite data layers for bottom longline and trap gear, and 2) multi-year and monthly composite data layers for pelagic longline gear. Additional details are available online: S. Butler, D. Ibarra and S. Coffen-Smout, 2019. Maritimes Region Longline and Trap Fisheries Footprint Mapping for Marine Spatial Planning and Risk Assessment. Can. Tech. Rep. Fish. Aquat. Sci. 3293: v + 30 p. http://publications.gc.ca/collections/collection_2019/mpo-dfo/Fs97-6-3293-eng.pdf

The Niagara Escarpment Special Policy Area is comprised of the North Aldershot Policy Area and the Waterdown Policy Area. [More information](http://www.escarpment.org)

PURPOSE:This data relates to the Canadian Science Advice Secretariat (CSAS) Regional Science Advisory Process from the Limit Reference Point and Population Model Review of the Southern Gulf of Saint Lawrence Sea Scallop peer review meeting held on November 1-2, 2023. The SFAs 22 and 24 have been identified as the core scallop habitat within the sGSL for this process. Associated publications from this meeting will be posted on the Fisheries and Oceans Canada (DFO) Science Advisory Schedule as they become available. DESCRIPTION:Data on landings, fishing efforts, and catch per unit effort (CPUE) used in the stock assessment for southern Gulf of St. Lawrence (sGSL) sea scallop (_Placopecten magellanicus_) stock assessments and the limit reference point.The dataset contains corrected information from the following data sources:- DFO annual historic reports on landings and efforts- published documents about population assessments and surveys- logbooks, produced by DFO’s regional statistics- purchase slips, produced by DFO’s regional statistics- Catch per unit effort calculated by DFO's Science BranchPrior to 1947, data represents the combined landings that cannot be attributed to individual Scallop Fishing Areas (SFAs). USE LIMITATION:To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

In place since fall 1994, the sentinel fisheries program is the result of a collaboration between Fisheries and Oceans Canada (DFO) and Quebec and Newfoundland commercial fishermen's associations. Under this program, contracts are awarded by tender to fishermen’s associations to carry out fishing activities according to scientific protocols developed by DFO. The main objective of this survey is to collect data that will be used to calculate abundance indices for the northern Gulf of St. Lawrence Atlantic cod stock.Description of fixed gears surveyThe fixed gear sentinel fisheries of the northern Gulf of St. Lawrence are conducted in the sub-division 3Pn and the divisions 4R, 4S of the Northwest Atlantic Fisheries Organization (NAFO) using fixed gillnets or longlines (other fishing gears were also used at the start of the program). Fishing activities with nets must have a mesh size of 5 ½ inches (140mm) and are limited to a maximum of 6 to 20 nets depending on the region and capture and the target immersion time is between 19 to 24 hours. Longline fishing activities, for its part, must be carried out with traditional J #16 or C #12 hooks. The maximum number of hooks varies from 500 to 1000, depending on the catch, and the target immersion time is 4 to 6 hours. Data are collected by observers at sea or by technicians.DataFor each fishing activity, the total catch is sorted and weighed by species. For each species other than Atlantic cod, the number of individuals caught is noted. Atlantic cod are then measured at the fork (cm). Other biological data such as weight (total, gonad, liver and stomach), age, sex and maturity can then be collected on a subsample of cod.The biological data are divided into 4 files: a “Metadata” file containing set information, a “Catches” file containing catches per set for fish taxa, a “Carbio” file containing biological and morphometric measurements per individual, a “Freql” file containing the length frequency of fish.The data collected as part of this program is available below. It is important to note, however, that 1) only traits deemed successful have been retained; 2) historical data may contain inaccuracies; 3) the most recent survey is not available for validation purposes.

PURPOSE:This study is part of a two-decade series of research aimed to provide a comprehensive synthesis of the effects of harvest and environmental change on fisheries in Great Bear Lake. The main objectives are to assess demographic traits and the current status of harvested species, with a focus on evaluating sustainable harvest levels of lake trout, a cold-adapted species with a relatively narrow thermal niche. As part of this research, trends in water quality and primary productivity are monitored to evaluate potential effects of change on fisheries. DESCRIPTION:Great Bear Lake, one of the largest lakes in North America, contains culturally and recreationally important fish species. Great Bear Lake is located in the sub-Arctic and Arctic Circle. As part of a two-decade series of research aimed to provide a comprehensive synthesis of the effects of harvest and environmental change on fisheries in Great Bear Lake, the main objectives of this study are to assess demographic traits and the current status of harvested species, with a focus on evaluating sustainable harvest levels of lake trout, a cold-adapted species with a relatively narrow thermal niche. As part of this research, trends in water quality and primary productivity are monitored to evaluate potential effects of change on fisheries. From 2021 to 2024, surface water temperature data was collected at depths of 0.1 to 1.0 meters using an RBR Maestro3 through partnered community-led and community/Fisheries and Oceans Canada/university partner collaborative sampling. The project has strong community involvement, including youth through the Guardian Program, to facilitate capacity building and community leadership in the long-term monitoring of Great Bear Lake fisheries and the aquatic ecosystem. This data is an extension of baseline data sets on water quality on the lake. These data will contribute to a better understanding cumulative impacts of climate change on the functioning of large northern lake ecosystems and provide a benchmark for monitoring further change. This data will be important for developing effective strategies for maintaining community-led aquatic monitoring and managing natural resources, particularly fish, which are expected to be increasingly important to communities with declines in other country foods such as caribou.We acknowledge the data were collected in the Sahtú Settlement Area and are made publicly available with the agreement of the Délı̨nę Renewable Resources Council (Délı̨nę Ɂehdzo Got’ı̨nę (Renewable Resources Council)). Collaborators include: the Community of Délı̨nę partners (data collection), Délı̨nę Renewable Resource Council, Sahtú Renewable Resource Board, and University of Manitoba. Community of Délı̨nę partners and field workers that participated in data collection include Chris Yukon, Archie Vital, Ted Mackienzo, Daniel Baton, Lloyd Baton, Simon Neyelle, and Stanley Ferdanan.Funding and logistical support was provided by: Northwest Territories Cumulative Impact Monitoring, Sahtú Renewable Resource Board, the Polar Continental Shelf Program and Fisheries and Oceans Canada.