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Using Siphon Hole Morphometrics to Identify, Count, and Measure Soft-shell Clams (Mya arenaria)
PURPOSE: Establishing efficient, non-destructive sampling methods for clam population assessments. DESCRIPTION: In the Gulf of St. Lawrence (GSL) Management Region, clam assessments are uncommon due to limited resources and the labour-intensive nature of sampling clam beds. Furthermore, clam assessments typically rely on destructive sampling that disturbs sediment and removes animals from their habitat. Establishing efficient, non-destructive sampling methods for clam population assessments can reduce the impact of scientific sampling on these habitats and provide for more efficient monitoring. In this study, we tested the idea that visually observing siphon holes on the sediment surface could predict the presence, number, and size of soft-shell clams across different sites in the southern GSL. Siphon holes reasonably predicted the presence, number, and size/biomass of soft-shell clams in most, but not all, sites. Thus, in many habitats in the GSL, siphon holes can be used for population assessments, providing a powerful tool to enhance Science advice to fisheries managers. Data was collected at the following sites: * Maisonnette, Parc Maisonnette, Maisonnette, New Brunswick, Canada * Kouchibouguac, Loggiecroft wharf, Kouchibouguac National Park, New Brunswick, Canada * Shemogue, Amos Point Road, Little Shemogue, New Brunswick, Canada * Powell's Cove, Powell's Point Provincial Park, Little Harbour, Nova Scotia, Canada PARAMETERS COLLECTED: - Clam abundance - Clam biomass (total sample) - Clam size (length, weight) - Siphon hole abundance - Siphon hole size - Siphon hole characterization (i.e., identification of actual clam based on shape) - Seawater temperature - Sediment grain size - Sediment organic content (%) - Sediment relative moisture content (%) NOTES ON QUALITY CONTROL: Original data entry by Jillian Hunt and/or Isabelle Brennan. Data checked and validated prior to analysis by Jeff Clements. Data further checked and validated prior to publication by Amélie Robichaud. PHYSICAL SAMPLE DETAILS: No physical samples retained. - Clam samples returned back to original habitat after measuring and weighing in the field. - Sediment core samples stored in walk-in freezer and discarded after processing and analysis. SAMPLING METHODS: i. Identifying, counting, weighing, and measuring (with calipers) clams ii. Identifying, counting, and measuring (with calipers) clam siphon holes iii. Seawater temperature monitoring via data loggers iv. Sediment grain size, organic content, and moisture content analysis USE LIMITATION: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.
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Know concentration areas of the Softshell clam in the intertidal zone of the Estuary and the Gulf of St. Lawrence
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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.
A Soft-Shelled Clam (Mya arenaria) Habitat Suitability Model For The DFO Maritimes Region
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The data in this layer represents habitat suitability of soft-shelled clams (Mya arenaria) in the DFO Maritimes region, and was developed using an interdepartmental approach. Substrate classification data as well as bathymetric data for the Region were used to identify potential habitat for soft-shelled clams. Substrates identified as suitable included: sand, mud, sand and mud (Greenlaw, 2022). Contours (0m and 70m) from GEBCO bathymetric data were used to isolate depths between which soft-shelled clams are present. At this stage, a polygon reflecting soft substrates from 0-70m was created as "Suitable". A "Not Suitable" layer was similarly created using the substrates: boulders, continuous bedrock, discontinuous bedrock, gravel, mixed sediment, sand and gravel. To digitally validate the model, the Regional shoreline was divided into subsectors (developed by Environment and Climate Change Canada for the Canadian Shellfish Sanitation Program). Data from DFO (clam harvesting intensity) as well as Conservation and Protection (clam harvesting infraction locations) were used to established species presence within each sub-sector. If there had been any harvesting activity, legal or illegal, in an individual subsector, it was considered "Suitable and Validated". Merged into one final product, the model includes areas that are "Not Suitable", "Suitable", as well as "Suitable and Validated" for soft-shelled clam habitat. Cite this data as: Harvey, C., Vincent, M., Greyson, P., Hamer, A. (2024) Data of: A Soft-Shelled Clam (Mya arenaria) Habitat Suitability Model For The DFO Maritimes Region. Published: January 2024. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B. https://open.canada.ca/data/en/dataset/c76f7813-d802-4b31-8ebe-476f8a7cacf2
Macoma Clam Prey Identified by DNA Metabarcoding, 2018 and 2019, Alaska
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This dataset describes sequence data derived from 18S ribosomal and ribulose bisphosphate carboxylase (rbcL) DNA. Stomach contents from 190 Macoma calcarea clams were examined for this study. Clams were collected from the Bering Sea and Chukchi Sea, Alaska in 2018 and 2019 using benthic van Veen grabs.
Likelihood of Presence of Soft Shelled Clams in Area Response Planning Pilot Areas
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Likelihood of Presence of Soft Shelled Clams in the Bay of Fundy and Port Hawkesbury Area Response Plan. The Coastal Oceanography and Ecosystem Research section (DFO Science) reviewed reported Clam harvest and study areas as well utilized local knowledge of the areas to estimate clam flats. A version of this dataset was created for the National Environmental Emergency Center (NEEC) following their data model and is available for download in the Resources section. Cite this data as: Lazin, G., Hamer, A.,Corrigan, S., Bower, B., and Harvey, C. Data of: Likelihood of presence of Soft Shelled Clam in Area Response Planning pilot areas. Published: June 2018. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B. https://open.canada.ca/data/en/dataset/59121e8f-0acc-411a-99cb-54980df10ba6
Atlantic Surfclam and Ocean Quahog Survey
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The standardized NEFSC Atlantic Surfclam and Ocean Quahog Survey has covered an area from Cape Hatteras to Georges Bank. The survey was conducted every two or three years and currently, a subset of the survey area is completed annually, with the entire survey area completed every three years. The dredge had been operated in a consistent fashion using the same survey protocols and gear from 1982 until 2011. In 2012, the platform was changed to an industry vessel, which resulted in a gear change from a 5' hydraulic dredge to a 13' commercial style hydraulic dredge. Five-minute tows are made at stations that are randomly selected to provide unbiased abundance measurements. Station data includes: shipboard sensors, including ship speed and position, dredge angle, voltage and amperage of electrical current that powers the pump on the dredge (through 2011), manifold pressure, water depth and temperature. Biological data includes: catch weight, catch number, lengths, weights, and meat weights.
Known concentration areas of Arctic wedge clam in the Estuary and the Gulf of St. Lawrence
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The dataset represents known concentration areas of harvested or unharvested Arctic wedge clam (Mesodesma arctatum) in 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 purposes in case of an oil spill. Concentration areas were delimited using Fisheries and Oceans Canada (DFO) inventories conducted between 2000 and 2020 and data from various DFO research projects. For more information on how the data layer was built, see the metadata included in its shapefile (.shp), particularly the “Lineage” section. This layer is dependent on the inventories carried out and thus only represents the known concentration areas of the Arctic wedge clam. It 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 this 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. The polygons delimited based on inventory data are more precise but might underestimate the concentration areas because sampling was made where the target resource was known to be more abundant without necessarily sampling the entire bed. Nonetheless, the precision is sufficient for resource protection and management needs in case of an environmental incident. Data sources and references: Bourdages, H., P. Goudreau, J. Lambert, L. Landry et 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. Brulotte, S. Données non-publiées. Pêches et Océans Canada. Brulotte, S. 2011. Évaluation des stocks de mye commune des eaux côtières du Québec. Secr. can. de consult. sci. du MPO. Doc. de rech. 2011/44: x + 53 p. Brulotte, S. 2012. Évaluation des stocks de buccin des eaux côtières du Québec. Secr. can. de consult. sci. du MPO. Doc. de rech. 2012/058: xi + 106 p. Brulotte, S. et 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. Gendreau, Y. 2018. MS Access database on benthic biodiversity. Fisheries and Oceans Canada. Giguère, M., S. Brulotte et 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 et 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. Provencher, L. Unpublished data. Fisheries and Oceans Canada. Provencher, L. et 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.
Sea Scallop Survey
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The standardized NEFSC Sea Scallop Survey began in 1980 and has covered an area from Cape Hatteras to Georges Bank. The survey aims to determine the distribution and abundance of scallops and associated fauna utilizing two sampling devices: the 8-foot wide New Bedford style dredge, standardized sea scallop dredge and the stereo-optic towed camera array (HabCam). Fifteen minute dredge hauls are made at stations that are randomly selected using the NEFSC shellfish strata to provide unbiased abundance measurements. The HabCam is conducted using transects across bathymetry lines in the same area as the dredge tows. Various vessels have served as a platform for the survey, including NOAA vessels: FRV Albatross IV, FRV Oregon II, FRV Chapman, FV Tradition and currently, the UNOLS vessel RV Hugh R. Sharp.
Laboratory experiment, the number of clams consumed by the fish of FLORIDA POMPANO in experimental tanks feeding on coquina clams individually and in groups from 2013-11-26 to 2013-12-03 (NCEI Accession 0127553)
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This dataset includes the results from a laboratory experiment assessing whether juvenile Florida Pompano (Trachinotus carolinus) foraging success is greater when in groups of multiple fish or when feeding alone. Florida Pompano were given coquina clams (Donax sp.) as a prey source, a main component of their natural diet in the north-central Gulf of Mexico. These data accompany the following peer-reviewed publication title: Facilitation and dominance in a schooling predator: foraging behavior of Florida Pompano, Trachinotus carolinus. Presumably an individual's risk of predation is reduced by group membership and this "safety in numbers" concept has been readily applied to investigations of schooling prey; however, foraging in groups may also be beneficial. We tested the hypothesis that, when feeding in groups, foraging of a coastal fish (Florida Pompano, Trachinotus carolinus) on a benthic prey source would be facilitated (i.e., fish feeding in groups will consume more prey items). Although this question has been addressed for other fish species, it has not been previously addressed for Florida Pompano, a fish known to exhibit schooling behavior and that is used for aquaculture, where understanding the feeding ecology is important for healthy and efficient grow-out. In this experiment, juvenile Florida Pompano were offered a fixed number of coquina clams (Donax spp.) for one hour either in a group or as individuals. The following day they were tested in the opposite configuration. Fish in groups achieved greater consumption (average of 26 clams consumed by the entire group) than the individuals comprising the group (average of 14 clams consumed [sum of clams consumed by all individuals of the group]). Fish in groups also had fewer unsuccessful foraging attempts (2.75 compared to 4.75 hr-1) and tended to have a shorter latency until the first feeding activity. Our results suggest fish in groups were more comfortable feeding and more successful in their feeding attempts. Interestingly, the consumption benefit of group foraging was not shared by all - not all fish within a group consumed equal numbers of clams. Taken together, the results support our hypothesis that foraging in a group provides facilitation, but the short-term benefits are not equally shared by all individuals.
Southern Gulf of St. Lawrence Ecosystem Research Vessel Survey (September Survey, NAFO Division 4T) Dataset
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PURPOSE: The research survey provides a fisheries-independent source of information about all marine living organisms that are captured by the fishing trawl used to obtain samples in the southern Gulf of St. Lawrence. DESCRIPTION: Tow, catch, length frequency, and biological information for fish caught during the annual September research vessel trawl surveys in the southern Gulf of St. Lawrence (NAFO Division 4T). Abundance indices and spatial distribution patterns of commercial and non-commercial groundfish. The catch data that appear in this dataset SHOULD NOT BE USED FOR ECOLOGICAL ANALYSES INVOLVING CATCH RATES. Important factors such as vessel, fishing gear and diurnal periods must be accounted for to use these data in analyses. Please contact the data custodians if you are interested in using this data for any kind of ecological analyses involving catch rates. PARAMETERS COLLECTED: abundance estimates (ecological); distribution (ecological); species counts (ecological); gear (fishing); vessel information (fishing); point (spatial) NOTES ON QUALITY CONTROL: Scientific names listed in the survey species list have been mapped to recognized standards - marine taxa have been mapped to the World Register of Marine Species (WoRMS) using their online taxon match tool. 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. In 2003, because of a fire aboard the Alfred Needler, the Wilfred Templeman was used for the survey. However, no comparative fishing experiments have been conducted between the Alfred Needler and the Wilfred Templeman. We are therefore unable to integrate the indices derived for 2003 to the remainder of the survey time-series. SAMPLING METHODS: Sampling Method: Consult the "Protocols for research vessel cruises within the Gulf Region (dermersal fish) (1970-1980)" report, link provided in the citations list. USE LIMITATION: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.