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We have found 552 datasets for the keyword "nearshore fish catch". You can continue exploring the search results in the list below.
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552 Datasets, Page 1 of 56
Recovered Historic Catch and Weight – Length Data of Nearshore Fish Populations on Sturgeon and Roberts Banks, Fraser River Estuary, British Columbia
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.
Diversity, Richness, and Biomass Hotspots
This geodatabase includes hotspot maps of 1) nearshore habitat richness, 2) diversity (fish and invertebrates), and 3) biomass (using catch per unit effort of fish and invertebrates), as well as two layers showing the spatial extent of the diversity and biomass hotspot analyses. Full details and methods can be found in the Rubidge et al. 2018 CSAS Research Document 2018/053 available here or at https://waves-vagues.dfo-mpo.gc.ca/Library/40759842.pdf. These data were reviewed as part of a Canadian Science Advisory Secretariat (CSAS) regional peer review process on Nov 1-2, 2017.Habitat Richness Hotspots: Because there are no systematic surveys of nearshore species that span the entire coastline of Northern Shelf Bioregion, the nearshore habitat richness hotspots were developed as a proxy for species diversity in nearshore areas. Habitat richness was calculated from eight habitat features: eelgrass, surfgrass, canopy-forming kelp, estuaries, areas of high rugosity, and hard, mixed, and soft substrate. The number of features within 1 km x 1 km planning units was counted, and hotspots were identified using the Getis-Ord G* tool in ArcGIS. Planning units with Gi_Bin values of 3 (99% confidence) were classified as habitat richness hotspots.Diversity and Biomass Hotspots: Hotspots of fish and invertebrate diversity and biomass were developed as proxies for spatial patterns of productivity in the Northern Shelf Bioregion. Diversity (Shannon diversity) and biomass (kg/hour or count/hook/hour) were calculated from DFO synoptic trawl and outside hard-bottom longline (HBLL) survey catch records. The outside HBLL survey was previously referred to as Pacific Halibut Management Area (PHMA) survey. The synoptic trawl and HBLL surveys have complementary spatial coverage, with the HBLL surveys occurring in more coastal areas (20–260 m) and the synoptic trawl surveys occurring on deeper shelf areas (50–1300 m). Hotspots were identified using the Getis-Ord G* tool in ArcGIS for five separate analyses: fish biomass (trawl), fish diversity (trawl), fish diversity (longline), invertebrate biomass (trawl), and invertebrate diversity (trawl). Using the Minimum Bounding Geometry Tool, convex hull polygons were drawn around groups of hotspot points (Gi_Bin values of 1, 2, or 3; confidence ≥90%) containing 10 or more points. The resulting polygons were then buffered by 1 km and manually edited where needed to exclude any large areas of the polygons that did not include hotspot points.
Lumpfish catch rates since 1990 in the Estuary and Gulf of St. Lawrence (NAFO divisions 3PN and 4RST)
Spatial distribution of lumpfish catch rates (number per tow) during the August DFO research survey conducted annually since 1990, to assess the state of groundfish and shrimp stocks in the northern Gulf of St. Lawrence.The area sampled by a tow is the product of the distance trawled (fishing time multiplied by vessel speed) and the wing spread (13.41 m for the Alfred Needler and 16.94 m for the Teleost). Given that this area may vary among tows, the sampling unit is standardized and defined as being a station sampled by a tow over a distance of 0.75 nautical miles (1,389 m) with a horizontal wing spread of 16.94 m. Catch variables were calculated based on the standard area, 0.02353 km².After each tow, the catch was sorted by taxa, and the number of individuals and total biomass of these taxa were noted. For taxa identified to the species level, individual biometric parameters (e.g., length, weight) and biological parameters (e.g., sex, maturity of gonads) were recorded based on a subsample. Full methods are described in Bourdages et al. (2010).Note that the increase in catch rate for the 2005-2009 period coincides with a change in gear for this survey.Bourdages, H., and Ouellet, J.-F. 2011. Geographic distribution and abundance indices of marine fish in the northern Gulf of St. Lawrence (1990–2009). Can. Tech. Rep. Fish. Aquat. Sci. 2963: vi + 171 p.Source:Gauthier, J., Grégoire, F., and Nozères, C. 2017. Assessment of Lumpfish (Cyclopterus lumpus) in the Gulf of St. Lawrence (3Pn, 4RS) in 2015. DFO Can. Sci. Advis. Sec. Res. Doc. 2017/051. v + 47 p.PurposeThe multidisciplinary survey of groundfish and shrimp in the northern Gulf of St. Lawrence has been conducted every August by Fisheries and Oceans Canada for more than two decades. Initially, its objective was to determine the abundance and geographic distribution of commercially important taxa. However, for couple of years, the objective was expanded to include all taxa caught with the shift toward the ecosystem approach.
Sablefish Standardized Trap Survey – Mainland Inlets
Fishing event (e.g., day, time, location, catch effort), and associated biological data from the Standardized Inlet Survey component of the annual Sablefish Research and Assessment Survey on the British Columbia coast.IntroductionDFO and the Canadian Sablefish Association undertake a collaborative fishery-independent annual research survey under a joint agreement. The survey employs longline trap gear to obtain catch rate data, gather biological samples, capture oceanographic measurements, and collect tag release and recapture data.Data summaries are provided here for standardized sets conducted at fixed stations within mainland inlets. The design of the sablefish survey has developed over time by incorporating and discontinuing components, including individual experimental studies (not available on OpenData). This Standardized Inlet Survey component differs in methodology from the other two survey components: (1) Offshore stratified random survey (2003 – present; available on OpenData using link below), and(2) Standardized trap survey – offshore indexing and offshore tagging (1990 – 2010; not yet available on OpenData). For the Standardized Inlet Survey, sets are allocated to five specific polygons in each of the following four inlet areas: Portland Inlet, Gil Island, Finlayson Channel, and Dean/Burke Channel. All four inlets were surveyed consistently between 2003 and 2019. No inlets were surveyed in 2020, and a single inlet was surveyed each year since 2021. Survey procedures are standardized and documented in Canadian Technical Reports of Fisheries and Aquatic sciences.Data tables provided for the Standardized Inlet Survey include (i) Effort, (ii) Catch, and (iii) Biological Information.Inlet EffortThis table contains information about annual survey trips and fishing events (sets). Trip-level information includes the year the survey took place, a unique trip identifier, the vessel that conducted the survey and the trip start and end dates (the dates the vessel was away from the dock conducting the survey). Set-level information includes the inlet name, date, time, location and depth that fishing took place, soak time, and number of traps deployed. All successful fishing events are included, where successful sets are those that met survey design specifications.Inlet CatchThis table contains the catch information from successful fishing events. Catch is identified to species or to the lowest taxonomic level possible. Catch is recorded as fish counts and / or weight. The unique trip identifier and set number are included so that catches can be related to the fishing event information (including capture location) for each set.Inlet Biological InformationThis table contains the biological data for sampled catches. Data may include any or all of length, weight, sex, maturity and age. Most of the sampled catch is Sablefish; however, some biological information has been collected for other species. Age structures are collected and are archived until required for analyses; therefore, all existing structures have not been aged. Tissue samples (usually a fin clip) may be collected for genetic (DNA) analysis for specific species. Tissue samples may be archived until required for analysis; for more information please see the data contacts. The unique trip identifier and set number are included so that samples can be related to the fishing event and catch information.
Atlantic Herring Abundance in Placentia Bay
This project was completed by the Pelagics Section in the Newfoundland and Labrador Science Branch of Fisheries and Oceans Canada (DFO). As part of the Coastal Environmental Baseline Program, a historical research gillnet program was reinitiated in Placentia Bay. Four local fishers each set fleets of standardized nets to catch herring for 6 weeks during the spring. The data collected was used to update a time series and provide advice at the herring stock assessment in October 2022. This program was continued in the 22/23 fiscal year. Data collected from this program included gillnet catch rates, bycatch, temperature and biological (herring) samples; from which biological metrics such as length, weight, sex, maturity and age were measured. This record contains catch data for 2018 to 2021, as well as biological data from 2018.
The Strait of Georgia Ichthyoplankton Survey, 1979-1981
Ichthyoplankton surveys were conducted in the Strait of Georgia (British Columbia) during 1979-1981 to ascertain the onset of fish spawning, and to explore distributional pattern and estimate total biomass of fish species.Oblique tows were made using 0.25m2 Bongos equipped with 351 micron Nitex nets of modified SCOR design. All sampling gear was black to minimize potential avoidance and resulting catch bias. The tow procedure generally followed that established by CALCOFI.This dataset contains a compilation of corrected catches of juvenile fishes, fish eggs and fish larvae by station.
Timing Windows for Work in and About Waterbodies in the Cariboo Natural Resource Region
Timing windows are the period(s) during the year when work may be carried out in and about water bodies with the lowest risk to fish and wildlife species and habitat. Timing windows and terms and conditions vary based on regional differences in fish and wildlife species and habitat, and geography. The timing window of least risk to fish and fish habitat must be applied to all activities in water bodies, as well as tributaries that have a risk of depositing sediment into water bodies. Windows of least risk are designed to protect all fish species known to occur in a water body.
Beaufort Sea Marine Fishes Project (BSMFP) 2014 - Fish identification and measurements
PURPOSE:From August 1st to September 11th, 2014, Fisheries and Oceans Canada conducted a baseline survey of marine fishes and their habitats in the southern Canadian Beaufort Sea and Amundsen Gulf as part of the Beaufort Regional Environmental Assessment (BREA) called the Beaufort Sea Marine Fishes Project (BSMFP). Sampling was conducted from the F/V Frosti at 54 stations along 14 transects. Standardized sampling was conducted at pre-determined depth stations (20-1500 m) using benthic trawling nets. The BSMFP is the first research project to use large research trawls to assess the biodiversity and abundance of offshore marine fishes in this area. In total, 42 species of fish were caught. This report contains information on fishing net deployments, catch per unit effort (CPUE), and basic biological data for all fishes caught.DESCRIPTION:Basic biological data for all fish caught during the 2014 BSMFP expedition. Includes identification, weight, length (total, fork, and, standard), liver weight, gonad weight, sex and maturity level. PARAMETERS COLLECTED:familyspeciesweighttotal lengthfork lengthstandard lengthliver weightgonad weightsexmaturitySAMPLING METHODS:Various trawl types.
Fish and invertebrate assemblages in coastal areas of the St. Lawrence Estuary (north shore) sampled with a beam trawl
This dataset derives from a series of beam trawl tows conducted during several research surveys in coastal areas of the St. Lawrence Estuary, between Portneuf-sur-Mer and Pointe-des-Monts, and between June and October of 2019, 2020, 2021 and 2022. It contains catch data for fish and invertebrates (occurrence and catch weights by species), in trawl tows conducted at depths ranging from 10 to 50 meters. Data were collected in various cruises:• June 28th to July 5th 2019 (NGCC Leim)• September 30th to October 9th 2019 (NGCC Leim)• October 1st to October 10th 2020 (NGCC Leim)• April 22nd to May 5th 2021 (NGCC Perley)• October 15th to October 24th 2021 (NGCC Perley)• June 24th to July 15th 2022 (NGCC LEIM)The beam trawl used to generate this data set consists of a frame (width of 2.8 m, height of 0.8 m) equipped with a 6.5 m long net with 40 mm diamond mesh, which is lined with a net (skirt) of square mesh (5 mm) at the cod-end (length 2 m) and a protective apron (75 mm mesh) on the ventral portion. Three skid chains are linked at the base of the skates. Each station corresponds to a 5 to 10 minutes tow along an isobath at a speed of about 2 knots. At each haul, the trawl catch was placed on a sorting table on the deck and the organisms were sorted and identified at the best possible taxonomic resolution. Most taxa were independently weighed. Some invertebrates taxa were subsampled, counted and weighted in order to estimate their contribution (weight and number) to the total catch. Additionally, the first 30 fish of each species were measured and weighed individually.Taxonomic names were verified on the World Register of Marine Species (WoRMS) to match recognized standards. The WoRMS match has been put in the scientificNameID field in the occurrence file. Data quality control was performed using the R packages obistools and worrms. All sampling locations were plotted on a map to perform a visual check confirming that the latitude and longitude coordinates were within the described sampling area. Data acquired during the research surveys additionally included: 1) occurrence data on epibenthic invertebrates and submerged aquatic vegetation in photo samples from a drop camera system, 2) occurrence data on fish and invertebrate taxa in video samples collected using a baited underwater video system (BUV), 3) substrate classification based on drop camera photo samples, 4) oceanographic measurements of the water column from Seabird 19plus V2 profiling CTD (conductivity, temperature, depth, photosynthetic active radiation, pH, dissolved oxygen), 5) nutrients (NO2, NO3, NH4, PO4, SiO3) and dissolve organic carbon (DOC) concentrations, and 6) current speed and direction from tilt meters. The first two items are available as independent data on the OBIS portal. To obtain data from items 3-6 and/or biological data collected on fish and invertebrate taxa, please contact David Lévesque or Marie-Julie Roux.The research surveys were undertaken by the Department of Fisheries and Oceans Canada as part of the baseline program of the Ocean Protection Plan. This initiative aimed to acquire environmental baseline data contributing to the characterization of important coastal areas and in support of evidence-based assessments and management decision-making for preserving marine ecosystems.Which contribute to the elaboration of conservation objectives based on an ecosystem assessment approach for fishery stock assessment requires the development of sampling methods to maximize the data collection on the ecosystem, while minimizing the impact on organisms and the marine environment. This project aims at characterising the coastal ecosystem of the St. Lawrence Estuary between Portneuf-sur-Mer and Godbout (QC), including the physico-chemistry of water, phytoplankton, zooplankton, submerged vegetation, benthic habitats as well as assemblages of fish and invertebrates. Sampling was performed by combining conventional methods such as CTD profiling, zooplankton nets, and beam trawl, with non-extractive methods such as dropped photo cameras and stereoscopic baited video camera systems. The data collected will help define baseline ecosystem conditions in the study area; explore the links between environmental conditions, habitat structure and biological assemblages; identify important habitats for marine species; as well as the evaluation of the performance of visual sampling methods compared to conventional methods. The results will make it possible to optimize the seasonal or annual monitoring in order to better understand the direct and indirect effects of human activities in coastal environments.This project was funded by the Department of Fisheries and Oceans Canada as part of the baseline program of the Ocean Protection Plan.
Ocean Salmon Program - Barkley Sound Juvenile Salmon Study from 1987 to 1994
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.
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