Identification of significant concentrations of sponges in the Gulf of St. Lawrence biogeographic unit using Kernel density estimation (KDE).This method was applied to create a modelled biomass surface for each taxa and an aerial expansion method was permitted to identify significant concentrations. Only geo-referenced biomass data have been used to identify the “hot spots”. The borders of the areas were refined using knowledge of null catches and species distribution models. Predictive models were produced using a random forest machine-learning technique. For more details, please refer to this report: Kenchington, E., L. Beazley, C. Lirette, F.J. Murillo, J. Guijarro, V. Wareham, K. Gilkinson, M. Koen Alonso, H. Benoît, H. Bourdages, B. Sainte-Marie, M. Treble, and T. Siferd. 2016. Delineation of Coral and Sponge Significant Benthic Areas in Eastern Canada Using Kernel Density Analyses and Species Distribution Models. DFO Can. Sci. Advis. Sec. Res. Doc. 2016/093. vi + 178 p.http://waves-vagues.dfo-mpo.gc.ca/Library/40577806.pdfThe present layer only contains the analysis results for sponges. Purpose:As part of the Canada's commitment to the identification and protection of sensitive benthic marine ecosystems, maps of the location of significant concentrations of corals and sponges on the east coast of Canada were produced through quantitative analyses of research vessel trawl survey data, supplemented with other data sources where available. The taxa analyzed are sponges (Porifera), large and small gorgonian corals (Alcyonacea), and sea pens (Pennatulacea). However, only the sponges (Porifera) and sea pens (Pennatulacea) have been considered in the analysis concerning the Gulf of St. Lawrence biogeographic unit.

The dataset represents known concentration areas of harvested or unharvested Atlantic surfclam (Spisula solidissima) in the Gulf of St. Lawrence, around the Magdalen Islands. The dataset was created for the National environmental emergencies center (NEEC) for preparation and response in case of an oil spill. Concentration areas were delineated using Fisheries and Oceans Canada (DFO) inventories conducted between 2000 and 2020, commercial fisheries data (logbooks and purchase receipts from 2002 to 2020 and observations at sea from 2005 to 2017), data from exploratory fisheries as well as interviews.This layer is dependent on the inventories carried out and thus only represents the known areas of the Atlantic surfclam. 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 this layer. In addition, the extent of shellfish beds can change over time in response to, among others, harvesting and recruitment rates. Some concentration areas were delimited based on interviews with people who locally know the resource but their delimitation remains approximate. The polygons delimited based on sampling 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:Bio-Conseil. 1986. Pêche exploratoire à la palourde (Spisula solidissima) aux Îles-de-la-Madeleine, automne 1985. Rapport final, Bio-Conseil, Pêches et Océans Canada. 24 p.Bernier, L. and L. Poirier. 1979. Evaluation sommaire du stock de mactres de l'Atlantique, Spisula solidissima Dillwyn, des Îles-de-la-Madeleine (golfe du St-Laurent). Cahier d'information, ministère de l'Industrie et du Commerce. 42 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. 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.DFO. 2016. Stock Assessment of Atlantic Surfclam of the Îles-de-la-Madeleine in 2015. DFO Can. Sci. Advis. Sec. Sci. Advis. Rep. 2016/022.DFO. 2019. Assessment of the Îles-de-la-Madeleine Atlantic Surfclam stock in 2018. DFO Can. Sci. Advis. Sec. Sci. Advis. Rep. 2019/031.Fréchette, M. and M. Giguère. 1984. Rapport sur une pêche exploratoire à la palourde aux Îles-de-la-Madeleine en 1984. Pêches et Océans Canada. 17 p.Hurlbut, T and D. Clay. 1990. Protocols for research vessel cruises within the Gulf region (demersal fish) (1970-1987). Can. Manuscr. Rep. Fish. Aquat. Sci. 2082:143p.Hurtubise, S. (Fisheries Data [ZIFF] and At-Sea Observers Manager). Unpublished data. Fisheries and Oceans Canada.

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.

Feeding areas, breeding areas, concentration and specie present. Data extracted from the Fish Habitat Management Information System (FHAMIS) according to a literature review of documents produced between between 1977 and 2001

Atlantic herring. Concentration, breeding areas and larval retention areas of Atlantic Herring in the St. Lawrence Estuary.Data extracted from the Fish Habitat Management Information System (FHAMIS).Concentration areas, spawning sites and breeding areas of Atlantic herring according to a literature review of documents produced between 1977 and 1998.

Lake sturgeon's presence zones, breeding, feeding and concentration areas according to a literature review of documents produced between 1976 and 2002.Data extracted from the Fish Habitat Management Information System (FHAMIS).

The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 120 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period.

TA_CONSERVANCY_AREAS_SVW contains the spatial representation (polygon) of the conservancy areas designated under the Park Act or by the Protected Areas of British Columbia Act, whose management and development is constrained by the Park Act. The view was created to provide a simplified view of this data from the administrative boundaries information in the Tantalis operational system

The __shíshálh Nation__ contains legally defined areas of land within the Province of British Columbia over which the shíshálh Nation exercises self-government, including the administration of resources and services available to its members, as described in the shíshálh Nation Self-Government Act of 1986. This spatial layer contains multipart features. Note that the name of the spatial layer is outdated; after the notification of retirement of the layer has been circulated the dataset will be recreated with the correct name. The source data for the geometry of the parcels was the federal "GeoBase - Aboriginal Lands" dataset, available under OGL - Canada. Parcels were adjusted to match provincial base mapping features, following the metes and bounds descriptions in the Letters Patent. A polygon dataset that includes all of the administrative areas currently in the __Administrative Boundaries Management System (ABMS)__ is available [here](https://catalogue.data.gov.bc.ca/dataset/legally-defined-administrative-areas-of-bc). A complimentary point dataset that defines the administrative areas is also available [here](https://catalogue.data.gov.bc.ca/dataset/legally-defined-administrative-areas-of-bc-boundary-locations). The shíshálh Nation Government District Enabling Act, [RSBC 1996] CHAPTER 416 is available [here.](http://www.bclaws.ca/civix/document/id/complete/statreg/96416_01) Other individual datasets are available from the following records: https://catalogue.data.gov.bc.ca/dataset/province-of-british-columbia-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/municipalities-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/regional-districts-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/electoral-areas-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/islands-trust-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/local-trust-areas-legally-defined-administrative-areas-of-bc

This dataset contains boundaries of Management Areas, which are geographic areas of managerial responsibility within Parks Operations Division, Alberta Environment and Protected Areas. Management Areas are groupings of Districts, which are geographic areas of operational responsibility within Parks Operations Division. Parks Operations Division Districts nest within Management Areas, which in turn nest within Regions. These boundaries are administrative/operational in nature, and are subject to change.