Landscape Units (Subdivisions) were developed as a part of the 2002 Northern Caribou Strategy and are used for landscape level planning within Wildlife Habitat Area 5-086. For details please see: [Apps, C. D., T. A. Kinley, and J. A. Young. 2001. Multi-scale habitat modeling for woodland caribou in the Itcha, Ilgachuz, and Rainbow mountains of west-central British Columbia. Wildlife Section, Ministry of Water, Land and Air Protection, Williams Lake, British Columbia, Canada.](http://www.env.gov.bc.ca/cariboo/env_stewardship/wildlife/inventory/caribou/northcar/hmi/hsi06-01.pdf)

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.

The Wildlife Management Unit Biologist Contact Boundaries dataset is comprised of all the polygons that represent the Wildlife Management Unit Biologist Contact Boundaries within the Province of Alberta. The dataset is to help determine which Biologist is responsible for each Wildlife Management Unit. Please refer to the metadata included with the data for full entity attribute information.

Landscape Units are spatially identified areas of land and/or water used for long-term planning of resource management activities. Landscape units are important for designing strategies and objectives to maintain landscape level biodiversity and for managing other forest resources. Landscape units are also used to initiate landscape unit plans, which provide direction on biodiversity, old growth forest retention, wildlife habitat maintenance and timber harvesting. LUs may also be used as planning zones for other stakeholders in addition to forest licensees and MOFR. This spatial view was created based on the selection from the layer LANDSCAPE UNIT SP, where the DATE OF RETIREMENT is null. Therefore, only current LU shapes are included in this layer

TA_WILDLIFE_MGMT_AREAS_SVW contains the spatial representation (polygon) of the areas under the administration and control of the Conservation Lands Program of the Ministry of Forests, Lands, Natural Resource Operations and Rural Development and designated as Wildlife Management Areas under the Wildlife Act due to the significance of their wildlife/fish values. The view was created to provide a simplified view of this data from the administrative boundaries information in the Tantalis operational system

The wildlife values area and site datasets represent the consolidation of 13 wildlife data classes collected by the Ministry of Natural Resources. The data estimates locations used by wildlife for various reasons, including: * breeding * calving and fawning * denning * feeding * staging * nesting * wintering * general habitat areas * nurseries * travel corridors Locations are represented as points (site) or polygons (area) and may be related to a specific species or described more generally. Wildlife values data is most often used to support policy and legislation associated with the Crown Forest Sustainability Act. The data may also be used to inform a wide range of resource management activities and decisions. There are additional sensitive features related to provincially tracked species and species at risk that are not available as part of the open data package. Sensitive features are subject to licensing and approvals and may be requested by contacting [geospatial@ontario.ca](geospatial@ontario.ca).

The wildlife values area and site datasets represent the consolidation of 13 wildlife data classes collected by the Ministry of Natural Resources. The data estimates locations used by wildlife for various reasons, including: * breeding * calving and fawning * denning * feeding * staging * nesting * wintering * general habitat areas * nurseries * travel corridors Locations are represented as points (site) or polygons (area) and may be related to a specific species or described more generally. Wildlife values data is most often used to support policy and legislation associated with the Crown Forest Sustainability Act. The data may also be used to inform a wide range of resource management activities and decisions. There are additional sensitive features related to provincially tracked species and species at risk that are not available as part of the open data package. Sensitive features are subject to licensing and approvals and may be requested by contacting [geospatial@ontario.ca](geospatial@ontario.ca).

This layer contains current Landscape Reserve Design (LRD) polygons associated the Great Bear Rainforest. The spatial data layer excludes sensitive information and is publicly viewable and downloadable. This data represents legally established and spatially defined LRD areas and are designed to meet Great Bear Rainforest requirements for Old Forest representation, Indigenous features and resources, wildlife values, and rare and endangered ecosystems that are identified during landscape unit planning or operational planning processes. Forest licensees are required to implement Ecosystem Based Management during operational planning processes to concurrently maintain ecosystem integrity and improve human well-being. This spatial view displays the current legal polygons, with more to be added as LRDs are established. This data is viewable in iMapBC by adding this layer name: ***Landscape Reserve Design – GBRO - legal***.

Conservation Lands spatial and attribute data. This includes related information on various types/classes of land secured for fish, wildlife and habitat conservation purposes. It includes Wildlife Management Areas (WMA) designated by Order in Council (OIC). Source data are from Tantalis as well as the derived product from GeoBC. Overlap between this dataset and the [__NGO Conservation Areas - Fee Simple__](https://catalogue.data.gov.bc.ca/dataset/ngo-conservation-areas-fee-simple) dataset will occur where NGO lands have been leased to the province. Discrepancies between the provincial layers and this dataset are due to differing source cadastral information. A [__Conservation Cross Reference Table__](https://catalogue.data.gov.bc.ca/dataset/db6d4e9d-aa20-4682-9e43-ad6ae52f4466) provides a link between this dataset and the NGO Conservation Areas – Fee Simple dataset. The CIP_PCL field in the NGO Conservation Areas dataset links to the Conservation_Land_ID field in the provincial Conservation Lands dataset.

14 Class - Canadian Ecological Domain Classification from Satellite Data. Satellite derived data including 1) topography, 2) landscape productivity based on photosynthetic activity, and 3) land cover were used as inputs to create an environmental regionalization of the over 10 million km2 of Canada’s terrestrial land base. The outcomes of this clustering consists of three main outputs. An initial clustering of 100 classes was generated using a two-stage multivariate classification process. Next, an agglomerative hierarchy using a log-likelihood distance measure was applied to create a 40 and then a 14 class regionalization, aimed to meaningfully group ecologically similar components of Canada's terrestrial landscape. For more information (including a graphical illustration of the cluster hierarchy) and to cite this data please use: Coops, N.C., Wulder, M.A., Iwanicka, D. 2009. An environmental domain classification of Canada using earth observation data for biodiversity assessment. Ecological Informatics, Vol. 4, No. 1, Pp. 8-22, DOI: https://doi.org/10.1016/j.ecoinf.2008.09.005. ( Coops et al. 2009).