Habitat Protection and management are the primary focus of the Fish and Wildlife Development fund. This data includes lands used for management of habitat within the Province.Saskatchewan Environment's Fish and Wildlife Development Fund Lands (FWDF) derived from ISC's (1:20,000) surface layer.As anglers, hunters and trappers in Saskatchewan, you recognize that healthy and diverse wildlife populations are an indication of a healthy ecosystem. Your responsible conservation ethic and love of nature are making positive and vital contributions to the management and preservation of wildlife and wildlife habitat. The revenue (30 per cent) from all fur, angling and hunting licences you purchase, is used to manage, preserve and enhance fish and wildlife habitat.The fund has identified three fish and wildlife management goals:-Maintain natural habitat through conservation, biodiversity, land management and awareness of rare species.-Maintain and grow sustainable fish populations and their habitat.-Maintain game populations and ensure accessible hunting.

A digital record of all Conservation Easements kept for planning purposes.This dataset represents all Conservation Easements registered with the Ministry of Environment. Clause 7(3) of the Conservation Easements Act indicates that for a CE to be in effect a copy of an executed CE must be provided to the Ministry. Receipt of this document is recorded in this Lands Branch database and an Agreement number is assigned sequentially. An interest, based on the CE, must also be registered with ISC. Currently these two datasets are not reconciled. Technical Details: Conservation Easements are meant to protect native habitat on lands in the Province. The boundaries of the native habitat protected under a CE may not coincident with the parcel boundaries. However, the CE is identified to the larger parcel boundary. It is this parcel identification the is reflected in this spatial dataset. The Agreement Number is included which identifies the filing number under which detailed information can be found in digital and hardcopy within the Lands Branch of the Ministry of Environment.

The mapping depicts the relative abundance of wedge ice in upper permafrost at a national scale. The mapping is based on modelling by O'Neill et al. (2019) (https://doi.org/10.5194/tc-13-753-2019). The mapping offers an improved depiction of ground ice in Canada at a broad scale, incorporating current knowledge on the associations between geological and environmental conditions and ground ice type and abundance. It provides a foundation for hypothesis testing related to broad-scale controls on ground ice formation, preservation, and melt.

The mapping depicts the relative abundance of segregated ice in upper permafrost at a national scale. The mapping is based on modelling by O'Neill et al. (2019) (https://doi.org/10.5194/tc-13-753-2019). The mapping offers an improved depiction of ground ice in Canada at a broad scale, incorporating current knowledge on the associations between geological and environmental conditions and ground ice type and abundance. It provides a foundation for hypothesis testing related to broad-scale controls on ground ice formation, preservation, and melt.

The School Districts dataset contains the spatial representation (polygon) of the current extent of the administrative areas defined under section 176(1) of the School Act for the purposes of preservation and promotion of the fundamental principle of local autonomy and control of public education at the public and governmental levels through locally elected school boards.

A predictive model for Canadian carbonatite-hosted REE ± Nb deposits is presented herein. This model was developed by integrating diverse data layers derived from geophysical, geochronological, and geological sources. These layers represent the key components of carbonatite-hosted REE ± Nb mineral systems, including the source, transport mechanisms, geological traps, and preservation processes. Deep learning algorithms were employed to integrate these layers into a comprehensive predictive framework. Here is a link to the publication that describes this product: https://link.springer.com/article/10.1007/s11053-024-10369-7

The mapping depicts the relative abundance of relict (buried glacier) ice preserved in upper permafrost at a national scale. The mapping is updated and based on modelling by O'Neill et al. (2019) (https://doi.org/10.5194/tc-13-753-2019). The mapping offers an improved depiction of ground ice in Canada at a broad scale, incorporating current knowledge on the associations between geological and environmental conditions and ground ice type and abundance. It provides a foundation for hypothesis testing related to broad-scale controls on ground ice formation, preservation, and melt.

The mapping depicts a first-order estimate of the combined volumetric percentage of excess ice in the top 5 m of permafrost from segregated, wedge, and relict ice. The estimates for the three ice types are based on modelling by O'Neill et al. (2019) (https://doi.org/10.5194/tc-13-753-2019), and informed by available published values of ground ice content and expert knowledge. The mapping offers an improved depiction of ground ice in Canada at a broad scale, incorporating current knowledge on the associations between geological and environmental conditions and ground ice type and abundance. It provides a foundation for hypothesis testing related to broad-scale controls on ground ice formation, preservation, and melt.

This dataset contains parks and protected areas managed for important conservation values and are dedicated for the preservation of their natural environments for the inspiration, use and enjoyment of the public. Places of special ecological importance are designated as ecological reserves for scientific research and educational purposes. Source data is Tantalis. *April 18, 2018: Prior to this date this dataset had one spatial boundary per park per survey plan that intersected the boundary of that park. This resulted in multiple identical boundaries for each park that had more than one survey plan overlapping it’s boundaries. The change aggregated the park data so that there is just one boundary per park with the plan numbers concatenated into a single column where each different plan number is separated by a comma.

Modeled data showing the likely distribution of steller sealions. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.