The intention is to show the boundaries of all refuges in Manitoba, as designated by the Designation of Wildlife Lands Regulation (171/2001) under The Wildlife Act (C.C.S.M. c. W130). Refuge types include Wildlife Refuge, Game Bird Refuge, Goose Refuge, and Fur Bearing Animal Refuge. The Use of Wildlife Lands Regulation (77/99) determines what activities are prohibited within each refuge.Boundaries are drawn based on the physical description described in regulation, or imported using CAD files from the official Director of Surveys Plan stated in regulation.

Biological refuges are small forest areas located on the domain of the State and permanently removed from forest management activities in order to maintain the biological diversity associated with old forests. Their management is under the responsibility of the Ministry of Natural Resources and Forests (MRNF). Forest management activities are prohibited on the territory of a biological refuge, with few exceptions. There are currently 3,704 biological refuges in Quebec, distributed relatively uniformly throughout managed forests in the domain of the State. Biological refuges can be designated under the Sustainable Forest Development Act (LADTF, chapter A-18.1) or in draft before legal designation. Legally designated organic refuges make up the vast majority. They are exempt from industrial activities, which allows them to be registered in the Quebec Register of Protected Areas (RAP) maintained by the Ministry of the Environment and the Fight against Climate Change, Wildlife and Parks (MELCCFP).This data comes from the MRNF STF system, which is the __official source__ of this geographic information.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Wildlife Refuges in Saskatchewan.The Saskatchewan Wildlife Refuges are described in Part V of the Wildlife Management Zones and Special Areas Boundaries Regulation (WMZSABR). They are constituted as areas for protecting, propagating, managing, controlling, regulating or enhancing wildlife or its habitat.

BiologicEcologic ISO Feature Dataset symbolization and publication. September 5, 2017.

Ecological Reserves are part of a network of Designated Areas. The goal of the network is to create and maintain a comprehensive, dynamic and accessible data set (digital map) that accurately defines land areas in Saskatchewan that have various levelUnique ecological reserves that are designed to protect representative areas of natural landscapes and to conserve biological diversity.

PURPOSE:Understanding and predicting species range shifts is crucial for conservation amid global warming. This study analyzes life-history traits of four seal species (ringed (Pusa hispida Schreber, 1775), bearded (Erignathus barbatus Pallas, 1811), harp (Pagophilus groenlandicus Erxleben, 1777), and harbour (Phoca vitulina Linnaeus, 1758) seals) in the Canadian Arctic using data from Inuit subsistence harvests. Bearded seals are largest, followed by harp seals, harbour seals, and ringed seals. Seasonal blubber depth patterns show minimal variation in bearded seals, whereas harbour and ringed seals accumulate fat in open-water seasons and use it during ice-covered seasons. Endemic Arctic seals (ringed and bearded) exhibit greater longevity and determinate body growth, reaching maximum size by 5 years, while harbour and harp seals grow indeterminately, physically maturing around 10-15 years. Age of maturation varies, with ringed and harbour seals being more sensitive to environmental fluctuations. Most bearded seals reproduce successfully each year, while ringed seals exhibit more variability in their annual reproductive success. Analysis of isoprenoid lipids in liver tissue indicates that ringed and bearded seals rely on ice-algal production, whereas harp and harbour seals depend on open-water phytoplankton production. Bearded seals appear more specialized and potentially face less competition, while harp seals may adapt better to changing habitats. Despite expected range shifts to higher latitudes, all species exhibit tradeoffs, complicating predictions for the evolving Arctic environment. DESCRIPTION:This dataset contains the data reported in Steven H. Ferguson, Jeff W. Higdon, Brent G. Young, Stephen D. Petersen, Cody G. Carlyle, Ellen V. Lea, Caroline C. Sauvé, Doreen Kohlbach, Aaron T. Fisk, Gregory W. Thiemann, Katie R. N. Florko, Derek C. G. Muir, Charmain D. Hamilton, Magali Houde, Enooyaq Sudlovenick, and David J. Yurkowski. 2024. A comparative analysis of life-history features and adaptive strategies of Arctic and subarctic seal species - who will win the climate change challenge? Canadian Journal of Zoology 2024-0093.R1The data set includes species, location, harvest date, sex, age, standard length, girth, fat depth, teste size, parity status, pregnancy status, corpora lutea (n), corpus albicans (n), follicles (n). This dataset includes raw, unfiltered, and unprocessed historical data provided by harvesters that have not been screened for outliers. Individual users should screen the data for their specific use.Cite these data as:Steven H. Ferguson, Jeff W. Higdon, Brent G. Young, Stephen D. Petersen, Cody G. Carlyle, Ellen V. Lea, Caroline C. Sauvé, Doreen Kohlbach, Aaron T. Fisk, Gregory W. Thiemann, Katie R. N. Florko, Derek C. G. Muir, Charmain D. Hamilton, Magali Houde, Enooyaq Sudlovenick, and David J. Yurkowski. 2024. Arctic and Aquatic Research Division, Fisheries and Oceans Canada, Winnipeg, MB. https://open.canada.ca/data/en/dataset/ea9ff038-8b16-11ef-8cce-55cc7f028297

Ecologically and Biologically Significant Areas (EBSAs) are areas within Canada's oceans that have been identified through formal scientific assessments as having special biological or ecological significance when compared with the surrounding marine ecosystem.Failure to define an area as an EBSA does not mean that it is unimportant ecologically. All areas serve ecological functions to some extent and require sustainable management. Rather, areas identified as EBSAs should be viewed as the most important areas where, with existing knowledge, regulators and marine users should be particularly risk averse to ensure ecosystems remain healthy and productive.Why are EBSAs identified?EBSA information is used to inform marine planning, including environmental assessment and the siting of marine-based activities, by:- Informing and guiding project-specific or regional environmental assessments;- Informing and guiding industries and regulators in their planning and operations, for example: EBSAs have been acknowledged and referred to (often as "Special Areas" or "Potentially Sensitive Areas") in oil and gas related assessments;- EBSA information has been provided to proponents of submarine cable projects to be used for route planning purposes;- Informing and guiding Integrated Oceans Management (IOM) process within five Large Ocean Management Areas (LOMAs) and twelve marine bioregions;- Serving as a basis for the identification of Areas of Interest (AOIs) and of Marine Protected Areas (MPAs) (individually and in the context of planning bioregional networks of MPAs).How are EBSAs identified?The process used to identify EBSAs is generally comprised of two phases. The first phase involves compiling scientific data and knowledge of a marine area's ecosystems - notably fish species, marine mammals, sea birds, marine flora, marine productivity, physical and chemical conditions and geology. "Knowledge" includes experiential knowledge of long-time uses of the areas. In some cases (e.g., in the Arctic), substantial efforts are taken to collect traditional knowledge on ecosystems and environmental conditions from community members, fish harvests, hunters and individuals whose knowledge of the study area complement often helps fill scientific data gaps.In the second phase, the available information for a marine area (e.g. a bioregion) is assessed against five nationally-established science-based criteria including:- Uniqueness: How distinct is the ecosystem of an area compared to surrounding ones?- Aggregation: Whether or not species populate or convene to the study area?- Fitness consequence: How critical the area is to the life history of the species that use it (e.g. is it a spawning or feeding ground)?- Naturalness: How pristine or disturbed by human activities is the study area?- Resilience: What is the ability of the ecosystem to bounce back if it is disturbed?Progress to date and next stepsEBSAs have been identified for large portions of Canada's Atlantic and Pacific Oceans as well as most of the Arctic oceans. EBSAs will continue to be identified in priority areas as resources become available to carry out the process. The boundaries or locations of existing EBSAs may be modified to reflect both new knowledge and changing environmental conditions.

The Wildlife Refuge feature class provides the geographical boundaries (polygons) of New Brunswick's Wildlife Refuges and Wildlife Management Areas. Most of these entities were established in the mid 1900s for the management of wildlife species that were hunted, trapped or snared by providing areas where hunting, trapping or snaring could be prohibited or restricted. Some areas were included because they were recognized tourist destinations (Acadian Village and Kings Landing Wildlife Management Areas) or other areas designated for "protection". As of early 2008, hunting, trapping and snaring is not allowed in any Wildlife Refuge and some Wildlife Management Areas; while in some Wildlife Management Areas trapping and snaring are allowed but no hunting; and in other Wildlife Management Areas hunting, trapping and snaring are allowed; ie, no restrictions.Most of New Brunswick's Wildlife Refuges and Wildlife Management Areas were established in the mid-1900s for the management of wildlife species that were hunted, trapped or snared by providing areas where those activities could be prohibited or restricted. Some areas were included because they were recognized tourist destinations (Acadian Village and Kings Landing Wildlife Management Areas) or other areas designated for "protection". 1. 2.Do not confuse Wildlife Refuges and Wildlife Management Areas with Wildlife Management Zones (WMZ GIS layer).

A derivative of DFO’s benthic species survey for the Strategic Program for Ecosystem-based Research and Advice (SPERA) (open data record ID: e736c0f0-b19e-4842-903d-28bfc756d48a), this benthic survey funded through the Canadian Healthy Oceans Network (CHONeII) looks at the presence/absence and abundance of two biogenic habitat-forming species that are listed as vulnerable to disturbance in a subset of 50 drift camera transects in the ‘Head Harbour/West Isles Archipelago/The Passages’ Ecologically and Biologically Significant Area (EBSA) in the Bay of Fundy, New Brunswick, Canada (~113km2). Presence/absence and abundance data of the stalked sea squirt (Boltenia ovifera) and horse mussel (Modiolus modiolus) were derived from the use of high-resolution Nikon D800 36.1 megapixel still images (n=2576, see link to parent record for more descriptive survey information) to be used in species distribution modelling. Image field of view (FOV) was estimated using a 10 cm-wide trigger weight for scale,and standardized across images using the average FOV estimate (0.75 x 0.5 m) across a subset of 200 images. Species counts were then converted to abundance estimates (number of individuals per square-meter) by dividing counts by 0.375m2. Boltenia ovifera was observed at densities reaching 456 ind./m2, while Modiolus modiolus density reached a maximum of 240 ind./m2.Cite this data as: Mireault C.A., Lawton P., Devillers R. and Teed L. Presence/absence and abundance of vulnerable marine ecosystem species Boltenia ovifera and Modiolus modiolus in the lower Bay of Fundy derived from high resolution still imagery. Published September 2023. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B. https://open.canada.ca/data/en/dataset/152ae3f1-d2b9-43d9-a7b4-d769d9e9fc41

Gross biological volume - softwood (GBVSWD) is an expression of in-the-tree stem softwood volume (m3) on a per-hectare basis. Calculated from the ground to the tip. Available here as a raster (GeoTIF) with a 20 m pixel resolution.Download: Here The Saskatchewan Ministry of Environment, Forest Service Branch, has developed a forest resource inventory (FRI) which meets a variety of strategic and operational planning information needs for the boreal plains. Such needs include information on the general land cover, terrain, and growing stock (height, diameter, basal area, timber volume and stem density) within the provincial forest and adjacent forest fringe. This inventory provides spatially explicit information as 10 m or 20 m raster grids and as vectors polygons for relatively homogeneous forest stands or naturally non-forested areas with a 0.5 ha minimum area and a 2.0 ha median area.  Gross biological volume per hectare - softwood (GBVSWD) is an expression of in-the-tree stem softwood volume (m3) on a per-hectare basis. Calculations are made from the ground to the tip. GBVSWD is available here as a color-mapped 16-bit unsigned integer raster grid in GeoTIFF format with a 20 m pixel resolution. An ArcGIS Pro layer file (*.lyrx) is supplied for viewing GBVSWD data in the following 50 m3/ha categories. Domain: [NULL, 0…1000]. RANGE LABEL RED GREEN BLUE 0 <= GBVSWD < 25 0 NA NA NA 25 <= GBVSWD < 75 50 63 81 181 75 <= GBVSWD < 125 100 66 101 160 125 <= GBVSWD < 175 150 68 121 138 175 <= GBVSWD < 225 200 71 140 117 225 <= GBVSWD < 275 250 74 160 96 275 <= GBVSWD < 325 300 85 178 79 325 <= GBVSWD < 375 350 123 191 74 375 <= GBVSWD < 425 400 161 203 70 425 <= GBVSWD < 475 450 198 216 66 475 <= GBVSWD < 525 500 236 229 61 525 <= GBVSWD < 575 550 255 226 53 575 <= GBVSWD < 625 600 255 209 40 625 <= GBVSWD < 675 650 255 191 28 675 <= GBVSWD < 725 700 255 174 16 725 <= GBVSWD < 775 750 255 156 3 775 <= GBVSWD < 825 800 253 139 9 825 <= GBVSWD < 875 850 251 121 20 875 <= GBVSWD < 925 900 249 103 31 925 <= GBVSWD < 975 950 246 85 43 975 <= GBVSWD <= 1000 1000 244 67 54For more information, see the Forest Inventory Standard of the Saskatchewan Environmental Code, Forest Inventory Chapter.