Fisheries Information Summary System (FISS) layer of Historic (pre 2001) Fish Distribution Points of BC Streams. Points represent site locations where a fish species is rearing, spawning or observed or where a point is located at the mouth of a stream it indicates the presence of a fish species somewhere in the stream as a whole. Georeferenced to the stream centreline network layer of the 1:50,000 scale BC Watershed Atlas.

Fisheries Information Summary System (FISS) layer of Historic (pre 2001) Fish Distribution Zones of BC streams. Includes salmonid rearing and spawning zones. Georeferenced to the stream centreline network layer of the 1:50,000 scale BC Watershed Atlas.

This point location dataset of fish observations is a regularly updated compilation of BC fish distribution information taken from a combination of all the official provincial databases including the BC Fisheries Information Summary System (FISS). Fish occurrences in this dataset represent the most current and comprehensive information source on fish presence for the province.

A goal of the Government of Canada’s Coastal Environmental Baseline Program (CEBP) is to amalgamate historic environmental data from high vessel traffic areas. An extensive DFO biological sampling program was conducted from 1980 to 1981 on Sturgeon and Roberts banks located on the outer Fraser River estuary, BC, Canada. This report collates and simplifies three data sets: water quality and nearshore fish catch previously published as DFO Data Report 340 (Conlin et al.1982), and un- published weight-length (W-L) data for two locations on Sturgeon Bank (Iona and Steveston) and near Westshore Terminals (Coal Port) on Roberts Bank. W-L data were reconstructed from archived computer printouts using Optical Character Recognition methods. Analyses of water quality data indicate that the two banks provided different fish habitats with Sturgeon Bank having a greater freshwater influence. Although Iona area water quality was exposed to sewage outfall from a nearby sewage treatment plant, it appears that fish communities were not different from the other Sturgeon Bank area (Steveston). The fish communities were found to be different between the two banks with Roberts Bank having greater overall abundance and diversity. Interestingly, of the seven fish species used for condition factor analyses, five were found to have lower Relative Condition Factors in the Roberts Bank sampling area.

Fish stocking data for recreational fishing purposes. Contains: * stocking data for the past 10 years for species where the purpose of the stocking event was to promote recreational fishing. This is a subset of data from the fish stocking information system. This data can also be obtained through the [Fish ON-Line application](http://www.ontario.ca/fishonline). For information on where stocking occurs for research or rehabilitation purposes, contact a local Ministry of Natural Resources and Forestry district office. Related datasets: * [Ontario waterbody location identifer](https://data.ontario.ca/dataset/ontario-waterbody-location-identifier)

Fish stocking records from Nova Scotia fish hatcheries. Includes trout and salmon stocking, size, number, location, stock and growth stage. Records contain both fall and spring distributions.

This dataset contains point distribution occurrences for fish species found in marine waters of Arctic Canada. It was used to create the distribution maps in the book Marine Fishes of Arctic Canada, edited by B.W. Coad and J.D. Reist (2018) and the DFO Data Report of Fisheries and Aquatic Sciences Distributional Records for Marine Fishes of Arctic Canada (Alfonso et al. 2018). The database includes literature (Coad and Reist 2016) and museum records, anecdotal reports, personal communications and data from fisheries surveys and exploratory cruises. Development of the database began in 1998 and data entry ceased in 2016, although the database will be updated periodically. Consult the book (Coad and Reist 2018) and the Data Report (Alfonso et al. 2018) for further details in regards to the specific sources for each data point by species especially those from sources other than published literature.

Description:This dataset contains layers of predicted occurrence for 65 groundfish species as well as overall species richness (i.e., the total number of species present) in Canadian Pacific waters, and the median standard error per grid cell across all species. They cover all seafloor habitat depths between 10 and 1400 m that have a mean summer salinity above 28 PSU. Two layers are provided for each species: 1) predicted species occurrence (prob_occur) and 2) the probability that a grid cell is an occurrence hotspot for that species (hotspot_prob; defined as being in the lower of: 1) 0.8, or 2) the 80th percentile of the predicted probability of occurrence values across all grid cells that had a probability of occurrence greater than 0.05.). The first measure provides an overall prediction of the distribution of the species while the second metric identifies areas where that species is most likely to be found, accounting for uncertainty within our model. All layers are provided at a 1 km resolution.Methods:These layers were developed using a species distribution model described in Thompson et al. 2023. This model integrates data from three fisheries-independent surveys: the Fisheries and Oceans Canada (DFO) Groundfish Synoptic Bottom Trawl Surveys (Sinclair et al. 2003; Anderson et al. 2019), the DFO Groundfish Hard Bottom Longline Surveys (Lochead and Yamanaka 2006, 2007; Doherty et al. 2019), and the International Pacific Halibut Commission Fisheries Independent Setline Survey (IPHC 2021). Further details on the methods are found in the metadata PDF available with the dataset.Abstract from Thompson et al. 2023:Predictions of the distribution of groundfish species are needed to support ongoing marine spatial planning initiatives in Canadian Pacific waters. Data to inform species distribution models are available from several fisheries-independent surveys. However, no single survey covers the entire region and different gear types are required to survey the range of habitats that are occupied by groundfish. Bottom trawl gear is used to sample soft bottom habitat, predominantly on the continental shelf and slope, whereas longline gear often focuses on nearshore and hardbottom habitats where trawling is not possible. Because data from these two gear types are not directly comparable, previous species distribution models in this region have been limited to using data from one survey at a time, restricting their spatial extent and usefulness at a regional scale. Here we demonstrate a method for integrating presence-absence data across surveys and gear types that allows us to predict the coastwide distributions of 66 groundfish species in British Columbia. Our model leverages the use of available data from multiple surveys to estimate how species respond to environmental gradients while accounting for differences in catchability by the different surveys. Overall, we find that this integrated method has two main benefits: 1) it increases the accuracy of predictions in data-limited surveys and regions while having negligible impacts on the accuracy when data are already sufficient to make predictions, 2) it reduces uncertainty, resulting in tighter confidence intervals on predicted species occurrences. These benefits are particularly relevant in areas of our coast where our understanding of habitat suitability is limited due to a lack of spatially comprehensive long-term groundfish research surveys.Data Sources:Research data was provided by Pacific Science’s Groundfish Data Unit for research surveys from the GFBio database between 2003 and 2020 for all species which had at least 150 observations, across all gear type and survey datasets available.Uncertainties:These are modeled results based on species observations at sea and their related environmental covariate predictions that may not always accurately reflect real-world groundfish distributions though methods that integrate different data types/sources have been demonstrated to improve model inference by increasing the accuracy of the predictions and reducing uncertainty.

Basic biological data for all fish caught during the 2012 BSMFP expedition. Includes identification, weight, length (total, fork, and, standard), liver weight, gonad weight, sex and maturity level.

During the period of 1987 to 1994, Robin J. LeBrasseur and N. Brent Hargreaves lead a juvenile salmon predation research project in Alberni Inlet and Barkley Sound BC. This dataset contains the research survey catch data and individual fish examinations data.