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We have found 3,287 datasets for the keyword " grosse poule de mer (cyclopterus lumpus)". You can continue exploring the search results in the list below.
Datasets: 103,380
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3,287 Datasets, Page 1 of 329
Lumpfish coastal presence in the fluvial section and Estuary of St. Lawrence
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.
Significant parameters for different species with status under the Species at Risk Act (SARA)
Layers that present various important parameters such as inventories, presence, sightings, distribution, relative occurrence or catch rates, critical habitat, breeding and feeding areas, potential spawning and haul-out sites for the different species with status under the Species at Risk Act (SARA).The act classifies those species as being either extirpated, endangered, threatened, or of special concern. Under SARA, Fisheries and Oceans Canada must produce recovery strategies and action plans for aquatic species listed as endangered or threatened. The act is part of Canada’s strategy to protect hundreds of wild plants and animal species from becoming extinct, and to help in their recovery.The different species represented by the layers are the following:1. American shad (Alosa sapidissima)2. Atlantic sturgeon (Acipenser oxyrinchus)3. Atlantic wolffish (Anarhichas lupus)4. Beluga whale (Delphinapterus leucas)5. Blue whale (Balaenoptera musculus)6. Copper redhorse (Moxostoma hubbsi)7. Eelgrass (Zostera marina)8. Grey seal (Halichoerus grypus)9. Harbor seal (Phoca vitulina)10. Humpback whale (Megaptera novaeangliae)11. Lake sturgeon (Acipenser fulvescens)12. Lumpfish (Cyclopterus lumpus)13. Northern wolffish (Anarhichas denticulatus)14. Rainbow smelt (Osmerus mordax)15. Sea pens (Pennatulacea)16. Seaweed17. Smooth skate (Malacoraja senta)18. Sponges19. Spotted wolffish (Anarhichas minor)20. Striped bass (Morone saxatilis)21. Thorny skate (Amblyraja radiata)22. Winter skate (Leucoraja ocellata)
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.
General distribution of humpback whales in the Estuary and Gulf of St. Lawrence
General distribution of Humpback Whales in the Estuary and Gulf of St. Lawrence based on all identified whales from the entire MICS database (Mingan Island Cetacean Study).Additional informationThe MICS (Mingan Island Cetacean Study) has been collecting and compiling in a photo-identification catalogue, blue whale (and other type of whales) sightings for the western North Atlantic since 1979. Since 1987, the material and sampling protocol has been being relatively stable, neither random nor systematic. Field work is conducted abord inflatable boats. Because the whole Gulf ot St. Lawrence cannot be thoroughly studied, MCIS conducts surveys in known whale aggregation areas. The spatial effort is also weather dependent and is mainly constrained by wind direction and strength. Therefore, the study area is not homogeneously covered.Each whale observation is associated with a picture that allows individual identification based on the animal's pigmentation pattern. For more details consult the mentionned report:Gagné, J.A., Ouellet, P., Savenkoff, C., Galbraith, P.S., Bui, A.O.V. et Bourassa, M.-N. Éd. 2013. Rapport intégré de l’initiative de recherche écosystémique (IRÉ) de la région du Québec pour le projet : les espèces fourragères responsables de la présence des rorquals dans l’estuaire maritime du Saint-Laurent. Secr. can. de consult. sci. du MPO. Doc. de rech. 2013/086. vi + 181 p.
Known concentration areas of the Atlantic razor clam in the Estuary and the Gulf of St. Lawrence
The dataset represents known concentration areas of harvested or unharvested Atlantic razor clam (Ensis leei) in the Estuary and the Gulf of St. Lawrence, Quebec Region. It was created for the National Environmental Emergencies Centre (NEEC) for preparation and response purposes in case of an oil spill. Concentration areas were defined using data from Fisheries and Oceans Canada (DFO) inventories, various DFO research projects and commercial fisheries data. This layer is dependent on the inventories carried out and thus only represents the known areas of the Atlantic razor clam. This dataset does not represent the general distribution of the species nor the extent to which fishing is allowed. Most of the information comes from inventories that did not necessarily target this species, therefore its distribution is undoubtedly wider than what is recorded in the layer. In addition, the extent of shellfish beds can change over time in response to, among others, harvesting and recruitment rates. Some beds were mapped based on DFO research project data which were compiled in a benthic biodiversity Access database. Polygons drawn around these data are not precise and may be reviewed. However, the precision is sufficient for the resource protection and management needs in case of an environmental incident. Data sources and references:Anonym. 1991. Analyse de l'échantillonnage en mer des mactres de Stimpson. Programme d'adaptation des pêches de l'Atlantique. Pesca tec International. Pêches et Océans Canada. 134 p.Bernier, L. and L. Poirier. 1979. Évaluation sommaire du stock de mactres de l'Atlantique, Spisula solidissima Dillwyn, des Îles-de-la-Madeleine (golfe du Saint-Laurent). Cahier d'information, ministère de l'Industrie et du Commerce. 42 p.Bourdages, H., P. Goudreau, J. Lambert, L. Landry and C. Nozères. 2012. Distribution des bivalves et gastéropodes benthiques dans les zones infralittorale et circalittorale des côtes de l’estuaire et du nord du golfe du Saint-Laurent. Rapp. tech. can. sci. halieut. aquat. 3004 : iv + 103 p.Bourget, E. and D. Messier. 1983. Macrobenthic density, biomass, and fauna of intertidal and subtidal sand in a Magdalen Islands lagoon, Gulf of St. Lawrence. Can. J. Zool. 61(11):2509-2518.Brulotte, S. Unpublished data. Fisheries and Oceans Canada.Brulotte, S. 2013. Évaluation des stocks de la mactre de l’Atlantique, Spisula solidissima, des eaux côtières des Îles-de-la-Madeleine – méthodologies et résultats. Secr. can. de consult. sci. du MPO. Doc. de rech. 2013/082: x + 58 p.Brulotte, S. 2016. Évaluation des stocks de mactre de l’Atlantique, Spisula solidissima, des Îles-de-la-Madeleine, Québec en 2015 – méthodologie et résultats. Secr. can. de consult. sci. du MPO. Doc. de rech. 2016/074. x + 51 p.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.DFO. 2013. Assessment of Razor Clam stock in Québec’s Inshore Waters in 2012. DFO Can. Sci. Advis. Sec. Sci. Advis. Rep. 2013/052.Elouard, B, G. Desrosiers, J.C. Brêthes and Y. Vigneault. 1983. Étude de l'habitat du poisson autour des ilots créés par des déblais de dragage; lagune de Grande-Entrée, Îles-de-la-Madeleine. Can. Tech. Rep. Fish. Aquat. Sci. 1209:viii + 69 p.Gendreau, Y. 2018. MS Access database on benthic biodiversity. Fisheries and Oceans Canada.Provencher, L. and C. Nozères. 2011. Protocole de suivi des communautés benthiques de la zone de protection marine Manicouagan. Secr. can. de consult. sci. du MPO. Doc. de rech. 2011/051:iv +25 p.Thompson, M., D. Drolet and J.H. Himmelman. 2005. Localization of infaunal prey by the sea star Leptasterias polaris. Mar. Biol. 146(5):887-894.
Taxonomic and Genetic Diversity of Decapods in Northeast Pacific, Canadian Arctic and Northwest Atlantic
An exploratory project on the taxonomic and genetic diversity of decapods in three ocean subregions (Northeast Pacific, Canadian Arctic, and Northwest Atlantic), which were sampled in 2022, was undertaken by the Arctic Working Group under the Canada-U.S. Fisheries and Climate Collaboration between Fisheries and Oceans Canada (DFO) and the National Marine Fisheries Service (NMFS) of the National Oceanic and Atmospheric Administration (NOAA). This collaboration framework aims to pool Canadian and U.S. data to explore the impacts of broad-scale climate change on marine biodiversity. In early summer 2022, a sampling protocol with the selection of targeted decapods was provided to DFO and NOAA collaborators. Targeted genera were collected from a total of 10 research programs across three ocean subregions and four marine regions. The Northeast Pacific samples were collected in the Bering Sea during the Northern Bering Sea Ecosystem and Surface Trawl Survey, and the Eastern and Northern Bering Sea Continental Shelf Bottom Trawl Survey of Groundfish and Invertebrate Fauna onboard the F/V Northwest Explorer, F/V Alaska Knight and F/V Vesteraalen. In the Western Canadian Arctic (mainly from Beaufort Sea and Amundsen Gulf), specimens were collected during DFO’s Canadian Beaufort Sea – Marine Ecosystem Assessment (CBS-MEA) survey onboard the F/V Frosti. In Eastern Canadian Arctic (mainly from Baffin Bay and Davis Strait), specimens were collected during DFO’s Knowledge and Ecosystem-Based Approach in Baffin Bay (KEBABB) survey onboard the CCGS Amundsen and DFO’s North Atlantic Fisheries Organization (NAFO) Subarea 0B survey onboard the R/V Tarajoq. In the Estuary and Gulf of St. Lawrence (EGSL), specimens were collected from coastal surveys (scallops, sea cucumber, snow crab, and whelk surveys) onboard the CCGS Leim and offshore during the Ecosystemic Survey onboard the CCGS Teleost. Decapods were collected from various sampling gears (benthic beam trawl, modified Atlantic Western IIA otter trawl, Bacalao trawl, shrimp trawl, Digby scallop dredge, or modified sea cucumber dredge) and identified to the lowest possible taxonomic level and photographed, when possible. All specimens were frozen at sea (n = 995). In the lab, the identifications were validated or refined with the photos and the frozen specimens. DNA was extracted for 87 specimens and a section of COI gene was amplified in order to be sequenced using Sanger method. Sequences were compared with existing data using The Basic Local Alignment Search Tool (BLAST) in the National Center for Bio-technology Information Nucleotide database (NCBI-nt, including the GenBank database) to compare scientific names, where available.The present dataset includes 391 decapod species occurrences. DNA was extracted for a subset of 87 specimens (COI gene); sequences are publicly available on BOLD data portal under project code DDAO (see supporting document "citations_references.csv" for more information).The data are presented in Darwin Core format and are separated in three files:The "Activité_décapodes_DDAO_decapods_event_en" file contains information about missions, stations and deployments, which are presented under a hierarchical activity structure.The "Occurrence_décapodes_DDAO_decapods_en" file contains the taxonomic occurrences.The "ADN_décapodes_DDAO_decapods_DNA_en" file contains the DNA derived data.For further details, please refer to the technical report available in the supporting document named "citations_references.csv". USE LIMITATION:To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.
Lumpfish potential spawning site in the Gulf of St. Lawrence
Identification of a potential spawning site for lumpfish during an ichtyofauna inventory conducted in the eelgrass in Sept-Îles bay by Calderón (1996).Purpose:The 1996 document by par Isabel Calderón has been achieved by the "Corporation de protection de l'environnement de Sept-Îles" with the support of Department of Fisheries and Oceans (DFO) as part of the "Biodiversity" program, St. Lawrence Vision 2000 (Canada).Source:Calderón, I. 1996. Caractérisation des habitats du poisson de la baie de Sept-Îles - Phase II. Corporation de protection de l'environnement de Sept-Îles. 37 pages.
2016 population ecumene by census subdivision
A population ecumene is the area of inhabited lands or settled areas generally delimited by a minimum population density. This ecumene shows the areas of the densest and most extended population within census subdivisions. A census subdivision (CSD) is the general term for municipalities (as determined by provincial or territorial legislation) or areas treated as municipal equivalents for statistical purposes (e.g., Indigenous Peoples reserves and communities and unorganized territories). Municipal status is defined by laws in effect in each province and territory in Canada. For further information, consult the Statistics Canada’s 2016 Illustrated Glossary (see below under Data Resources).The assemblage of dissemination block population density data from the 2016 Census of Population are used to form the ecumene areas within census subdivisions. Areas included in the ecumene are dissemination blocks where the population density is greater than or equal to 0.4 persons per square kilometre or about one person per square mile. In some areas to capture more population within the ecumene the criteria was extended to 0.2 persons per square kilometre. The ecumene areas were generalized in certain areas to remove small uninhabited areas within the ecumene areas in census subdivisions.This map can be used as an “ecumene” overlay to differentiate the sparsely populated areas from the ecumene in conjunction with census subdivision data or other large-scale maps. This ecumene shows a more meaningful distribution of the population for Canada.
Know concentration areas of the Softshell clam in the intertidal zone of the Estuary and the Gulf of St. Lawrence
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.
Total Soil Moisture (mm)
Total soil moisture is the modelled amount of plant available water (mm) in the root zone of the soil. The value given is the amount calculated to be present on the modeled day of the product.Values are computed using the Versatile Soil Moisture Budget (VSMB)
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