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We have found 242 datasets for the keyword " white hake (urophycis tenuis)". You can continue exploring the search results in the list below.
Datasets: 106,578
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242 Datasets, Page 1 of 25
Integrating Gut Microbiota and Population Genomics in White Hake (Urophycis tenuis): Supporting Data
PURPOSE:The purpose of this work was to determine (1) how the population genomic structure relates to gut microbiota composition of White Hake (Urophycis tenuis), and (2) whether microbiota community variation provides complementary insights into population structure of this species in eastern Canada.DESCRIPTION:Integrating host-associated microbiota with genomic approaches offers an opportunity to better understand the multiple biological dimensions shaping population structure in marine fishes. A clear understanding of population structure and dynamics is essential for informed fisheries management and conservation decisions; however, while genomic approaches have greatly improved our ability to delineate biological populations, they provide only a partial representation of biological structure, as patterns of differentiation reflect both historical divergence and contemporary ecological conditions. Host-associated microbiota can influence population-level ecological processes by contributing functional, potentially heritable variation that shapes host phenotype and fitness.In this study, we combined genotyping-by-sequencing with 16S rRNA gene amplicon sequencing to examine how population genomic structure relates to gut microbiota composition and to evaluate whether microbiota community variation provides complementary insights into population structure in White Hake (Urophycis tenuis) in eastern Canada. Genomic analyses identified two populations with greater spatial overlap than previously reported. Variation partitioning revealed that host genetics explained a negligible proportion of microbiota variation compared to environmental factors and fish length, suggesting that ontogenetic shifts in habitat use and resource acquisition influence gut microbiota composition. Several taxa were differentially abundant among fish length categories used as a proxy for diet, including taxa with chitin-degrading potential such as Photobacterium and Lachnospirales, which were enriched in smaller fish known to consume a crustacean-dominated diet. Together, these results indicate that gut microbiota composition in White Hake primarily reflects ecological and life-history processes rather than host population structure. PARAMETERS COLLECTED:Environmental parameters were also collected at most sampling sites, including depth, water temperature, oxygen and salinity levels.PHYSICAL SAMPLE DETAILS:Fin samples were collected to characterize the fish genotypes. Intestine (rectum) samples were collected to study fish gut microbiome.SAMPLING METHODS:In 2022 and 2023, White Hake were sampled during Fisheries and Oceans Canada (DFO) annual bottom trawl ecosystem monitoring surveys.USE LIMITATION:To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.
Commercial catches sampling program in the Estuary and Gulf of St. Lawrence – white hake (Urophycis tenuis)
SummaryThe Quebec region of the Department of Fisheries and Oceans (DFO) is responsible for the assessment of several fish and invertebrate stocks exploited in the Estuary and the northern Gulf of St. Lawrence. The commercial catches sampling program is one of the sources of information used to complete these assessments. The data collected by this program, at wharf or at sea, offers among other things the advantage of a relatively large spatio-temporal coverage and provides some of the necessary knowledge to assess the demography and the structure of the exploited populations. This program is implemented by specialized DFO staff whose main mandate is to collect biological data on groundfish, pelagic fish and marine invertebrate species that are commercially exploited in the various marine communities.DataThis dataset on the white hake (Urophycis tenuis) includes the metadata, sample weight, fish length, the sex and the number of specimens measured. This dataset covers the periods of 1989-1990 and 1992-1993. In order to protect the confidentiality of the sources, some informations (such as those concerning the vessel) have been excluded and others (such as the date of capture) have been simplified. Entries where there was only one vessel in a fishing area for a given year were also excluded. Further information including the fishing areas coordinates can be found by clicking on the «Atlantic and Arctic commercial fisheries» and «Fishing areas» links below.
Green/White Area Historical
The Historical Green/White Area dataset is comprised of all the polygons that represent the historical Green and White areas in Alberta.
Canada Forest Post-Disturbance Recovery Rate (1985-2017)
Post-disturbance forest recovery data for Canada's forested ecosystems, representing a total area of ~650 million ha, captures the return of forests following wildfire and harvest that occurred between 1986 and 2012. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). These spatially-explicit outputs represent the rate of spectral recovery: the rate at which a pixel returns to 80% of its pre-disturbance value (White et al. 2017) within the observation period (1985-2017) using the Y2R or Years-to-Recovery metric derived from Landsat times series data. Baseline rates of spectral recovery (Y2R) were defined for each of Canada's 12 forested ecozones. These baselines were then used to identify spatial clusters of recovering pixels on the landscape where Y2R were either significantly faster or slower than their ecozonal baseline. Finally, areas that were disturbed by wildfire and harvest (1986-2012), but which had not recovered by the end of the observation period (2017) are also provided. Note that these areas are still recovering, but they had not yet recovered according to our metric of spectral recovery, by the end of the time series in 2017. For an overview of the methods, the validation of the Y2R metric, and interpretation of the derived trends, see White et al. (2022) and White et al. (2017).White, J.C., Hermosilla, T., Wulder, M.A., Coops, N.C., 2022. Mapping, validating, and interpreting spatio-temporal trends in post-disturbance forest recovery. Remote Sensing of Environment, 271, 112904. https://doi.org/10.1016/j.rse.2022.112904 ( White et al. 2022)White, J.C., Wulder, M.A., Hermosilla, T., Coops, N.C., Hobart, G.W. 2017. A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series. Remote Sensing of Environment, 194, pp. 303-321. DOI: https://doi.org/10.1016/j.rse.2017.03.035 .( White et al. 2017)
Green/White Area
The Green/White Area dataset is comprised of all the polygons that represent the Green and White areas in the province of Alberta for the Department of Alberta Environment and Protected Areas administrative purpose.
Commercial catches sampling program in the Estuary and Gulf of St. Lawrence
The Quebec region of the Department of Fisheries and Oceans (DFO) is responsible for the assessment of several fish and invertebrate stocks exploited in the Estuary and the northern Gulf of St. Lawrence. The commercial catches sampling program is one of the sources of information used to complete these assessments. The data collected by this program, at wharf or at sea, offers among other things the advantage of a relatively large spatio-temporal coverage and provides some of the necessary knowledge to assess the demography and the structure of the exploited populations. This program is implemented by specialized DFO staff whose main mandate is to collect biological data on groundfish, pelagic fish and marine invertebrate species that are commercially exploited in the various marine communities.The following species have been sampled by this program from 1976 to present:1. American lobster (Homarus americanus)2. American plaice (Hippoglossoides platessoides)3. Atlantic cod (Gadus morhua)4. Atlantic halibut (Hippoglossus hippoglossus)5. Atlantic herring (Clupea harengus)6. Atlantic lyre crab (Hyas araneus)7. Atlantic mackerel (Scomber scombrus)8. Atlantic surfclam (Spisula solidissima)9. Arctic Lyre Crab (Hyas coarctatus)10. Capelin (Mallotus villosus)11. Common softshell clam (Mya arenaria)12. Giant scallop (Placopecten magellanicus)13. Greenland halibut (Reinhardtius hippoglossoides)14. Green urchin (Strongylocentrotus droebachiensis)15. Iceland scallop (Chlamys islandica)16. Redfish (Sebastes sp.)17. Rock crab (Cancer irroratus)18. Sea cucumber (Cucumaria frondosa)19. Snow crab (Chionoecetes opilio)20. Stimpson surfclam (Mactromeris polynyma)21. Waved whelk (Buccinum undatum)22. White hake (Urophycis tenuis)23. Winter flounder (Pseudopleuronectes americanus)24. Yellowtail flounder (Limanda ferruginea)For more information concerning these species, see the «Related Products» section below.
Maritimes Region Fisheries Atlas: Catch Weight Landings Mapping (2010–2014)
DFO’s Oceans and Coastal Management Division (OCMD) in the Maritimes Region has updated its fisheries landings maps for 2010–2014. These maps will be used for decision making in coastal and oceans management, including mitigating human use conflicts, informing environmental emergency response operations and protocols, informing Marine Stewardship Council certification processes, planning marine protected area networks, assessing ecological risks, and monitoring compliance and threats in coral and sponge closures and Marine Protected Areas. Fisheries maps were created to identify important fishing areas using aggregate landed weight (kg) per 2 x 2-minute grid cell for selected species/gear types.This dataset has been filtered to comply with the Government of Canada's privacy policy. Privacy assessments were conducted to identify NAFO unit areas containing data with less than five vessel IDs, license IDs and fisher IDs. If this threshold was not met, catch weight locations were withheld from these unit areas to protect the identity or activity of individual vessels or companies.Maps were created for the following species/gear types: 1. Atlantic Halibut2. Bluefin Tuna3. Bottom Longline Groundfish4. Bottom Trawl Groundfish5. Cod6. Cod, Haddock, Pollock7. Cusk8. Dogfish9. Flatfish10. Gillnet Groundfish11. Greenland Halibut12. Groundfish 13. Groundfish (quarterly composites Q1, Q2, Q3, Q4)14. Hagfish15. Herring16. Large Pelagics17. Mackerel18. Monkfish19. Offshore Clam20. Offshore Lobster21. Grey Zone Lobster22. Other Crab23. Other Tuna24. Pollock25. Porbeagle, Mako and Blue Shark26. Red Hake27. Redfish28. Scallop29. Scallop (quarterly composites Q1, Q2, Q3, Q4)30. Sculpin31. Sea Urchin32. Shrimp33. Silver Hake34. Skate35. Snow Crab36. Squid37. Swordfish38. White Hake39. Wolffish
Maritimes Region Fisheries Atlas: Catch Weight Landings Mapping (2014–2018)
These datasets show commercial fisheries catch weight landings of directed fisheries and bycatch from the Scotian Shelf, the Bay of Fundy, and Georges Bank from NAFO Divisions 4VWX and the Canadian portions of 5Y and 5Z. Atlantic Canadian inter-regional maps of four species (Atlantic Halibut, Bluefin Tuna, Redfish and Scallop) are also included from NAFO Divisions 4RST, 3KLMNOP, and 2GHJ. Five-year composite maps (2014–2018) that aggregate catches for each map series are publicly available. The maps aggregate catch weight (kg) per 10 km2 hexagon grid cell for selected species, species groupings and gear types to identify important fishing areas. These maps may be used for decision making in coastal and oceans management, including marine spatial planning, environmental emergency response operations and protocols, Marine Stewardship Council certification processes, marine protected area networks, and ecological risk assessment.These datasets have been filtered to comply with the Government of Canada's privacy policy. Privacy assessments were conducted to identify NAFO unit areas containing data with less than five vessel IDs, licence IDs or fisher IDs. If this threshold was not met, catch weight locations were withheld from these unit areas to protect the identity or activity of individual vessels or companies.Maps were created for the following species, species groupings and gear types:1. Groundfish (all species)2. Groundfish Bottom Trawl3. Groundfish Gillnet4. Groundfish Bottom Longline5. Groundfish (quarterly composites Q1, Q2, Q3, Q4)6. Atlantic Cod7. Atlantic Cod, Haddock and Pollock8. Flatfish9. Atlantic Halibut10. Greenland Halibut (Turbot)11. Hagfish12. Cusk13. Dogfish14. Redfish15. Red Hake16. Silver Hake17. White Hake18. Monkfish19. Sculpin20. Skate21. Wolffish22. Squid23. Herring24. Mackerel25. Large Pelagics26. Bluefin Tuna27. Other Tuna28. Swordfish29. Porbeagle, Mako and Blue Shark30. Snow Crab31. Other Crab32. Scallop33. Scallop (quarterly composites Q1, Q2, Q3, Q4)34. Offshore Clam35. Shrimp36. Offshore Lobster37. Disputed Zone Area 38B Lobster38. Whelk
Manitoba Green and White Zone Forest Inventory Statistics for the 2016-2021 Five Year Report on the Status of Forestry
Manitoba green and white zone forest inventory statistics for the 2016-2021 Five Year Report on the Status of Forestry.Manitoba green and white zone forest inventory statistics for the 2016-2021 Five Year Report on the Status of Forestry. This dataset is used within the Insights workbook of Manitoba's Five Year Report on the Status of Forestry, 2016 - 2021 story map.
Maritimes Region Fisheries Atlas: Catch Weight Landings Mapping (2019–2023)
These datasets show commercial fisheries catch weight landings of directed fisheries and bycatch from the Scotian Shelf, the Bay of Fundy, and Georges Bank from NAFO Divisions 4VWX and the Canadian portions of 5Y and 5Z. Five-year composite maps (2019–2023) that aggregate catches for each map series are publicly available. The maps aggregate catch weight (kg) per 10 km2 hexagon grid cell for selected species, species groupings and gear types to identify important fishing areas. These maps can support decision making in coastal and oceans management, including marine spatial planning, environmental emergency response operations and protocols, Marine Stewardship Council certification processes, marine protected area networks, and ecological risk assessment.Reported catch locations may have rounded coordinates or contain errors. Although some errors have been corrected, it is assumed that additional errors remain in the data. These datasets have been filtered to comply with the Government of Canada's privacy policy. Privacy assessments were conducted to identify DFO unit areas containing data with less than five vessel IDs, licence IDs or fisher IDs. If this threshold was not met, catch weight locations were withheld from these unit areas to protect the identity or activity of individual vessels or companies.Maps were created for the following species, species groupings and gear types:1. Groundfish (all species)2. Groundfish Bottom Trawl3. Groundfish Bottom Longline4. Groundfish Gillnet5. Groundfish (seasonal composites)6. Atlantic Cod7. Atlantic Cod, Haddock and Pollock8. Flatfish9. Atlantic Halibut10. Greenland Halibut (Turbot)11. Hagfish12. Cusk13. Dogfish14. Redfish15. Red Hake16. Silver Hake17. White Hake18. Monkfish19. Sculpin20. Skate21. Wolffish22. Squid23. Herring24. Mackerel25. Herring and Mackerel Gillnet26. Purse Seine27. Large Pelagics28. Bluefin Tuna29. Other Tuna30. Swordfish31. Snow Crab32. Other Crab33. Scallop34. Scallop (seasonal composites)35. Offshore Clam36. Shrimp Trawl37. Shrimp Trap38. Offshore Lobster39. Disputed Zone Area 38B Lobster40. Whelk
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