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We have found 770 datasets for the keyword "old-growth forest". You can continue exploring the search results in the list below.
Datasets: 104,591
Contributors: 42
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770 Datasets, Page 1 of 77
Old Growth Management Areas - Non Legal - Current
This 'Current' spatial data layer is publicly accessible, contains the most current Non-Legal Old Growth Management Area (OGMA) polygons and excludes any sensitive information. This data represents spatially defined areas of old growth forest that are identified during landscape unit planning or an operational planning process. Forest licensees are not required to follow direction provided by non-legal OGMAs when preparing FSPs, and may choose to manage required old growth biodiversity targets in other ways. OGMAs, in combination with other areas where forestry development is prevented or constrained, are used to achieve biodiversity targets. Please see the Additional Information and Object Description Comments below.
Old Growth Management Areas - Legal - Current
This 'Current' spatial data layer is publicly viewable and downloadable, contains the most current Legal Old Growth Management Area (OGMA) polygons and excludes any sensitive information. This data represents legally established and spatially defined areas of old growth forest that are identified during landscape unit planning or an operational planning process. Forest licensees are required to maintain legally established OGMAs when preparing FSPs. OGMAs, in combination with other areas where forestry development is prevented or constrained, are used to achieve biodiversity targets. This spatial view will show the most current polygons and excludes sensitive information. This data is viewable in iMapBC by 2 layers: Legal Old Growth Management Areas - Current, Old Growth Management Areas - Legal. Please see the Additional Information and Object Description Comments below.
Old Growth Forest Policy Layer
Forest stands identified under the Nova Scotia Old Growth Forest Policy.
Forest Communities and Habitats
Designated forested patches meeting DNRED’s criteria for “Old Forest Communities” and “Old Forest Wildlife Habitats”.
Other Habitats
Designated forested stands meeting D.N.R.’s structural and spatial criteria for “Old Forest Communities” and “Old Forest Wildlife Habitats”.
Landscape Units of British Columbia - Current
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
VRI - 2024 - Forest Vegetation Composite Rank 1 Layer (R1)
Geospatial forest inventory dataset updated for depletions, such as harvesting, and projected annually for growth. Sample attributes in this dataset include: age, species, volume, height. The Vegetation Resources Inventory (VRI) spatial datasets describe both where a vegetation resource (ie timber volume, tree species) is located and how much of a given resource is within an inventory unit. Suggested citation: Forest Analysis and Inventory Branch (2024). VRI - 2024 - Forest Vegetation Composite Rank 1 Layer (R1). British Columbia Data Catalogue. https://catalogue.data.gov.bc.ca/dataset/2ebb35d8-c82f-4a17-9c96-612ac3532d55
Growth and Yield Samples - All Status
**NOTE** This dataset is going to be replaced by the Data Catalogue layer: [Forest Inventory Ground Plots - Public Access](https://catalogue.data.gov.bc.ca/dataset/6d6d115f-4cc2-4141-909e-3344b3a72bcf) This new layer links to the updated database for all Forest Analysis and Inventory Branch ground sample plots. Growth and Yield dataset is a provincial data set that comprised of Permanent Sample Plots (PSP). Researchers such as GY modellers and those wanting to know the position of all samples will use the all status view to better understand the spatial distribution of historic measurement data including samples that are currently destroyed or inactive
Seral Stage Assessment Amalgamation Units for the Cariboo Natural Resource Region
This dataset is a combination of landscape unit, biogeoclimatic zone/subzone/variants and Cariboo Chilcotin Land Use Plan (CCLUP) leading group type (PineGroup or FirGroup) used to roll up seral stage assessments in the Cariboo Natural Resource Region. Refer to the **Cariboo Regional Biodiversity Conservation Strategy Update Note #2: Amalgamation of Small NDT-BEC Units in Relation to Assessment of Seral Objectives and Old Growth Management Area Planning** and **Cariboo Regional Biodiversity Conservation Strategy Update Note #3: Definition of the Fir Group and Pine Group for Purposes of Seral Stage Assessments within NDT 4 of the Cariboo-Chilcotin** (see below under "Related Links") for more information on how seral stage assessment amalgamation units are derived.
Big Picture 2002 natural cores and linkages analysis
The Big Picture 2002 is a legacy geographic information system (GIS) based landscape analysis. It is a partnership between the Nature Conservancy of Canada and the Ministry of Natural Resources’ Natural Heritage Information Centre. Many digital layers covering the Mixedwood Plains ecozone plus a portion of the Ontario Shield ecozone were compiled for this analysis. These layers include: * evaluated wetlands * forest cover * old growth forest * rare species and communities * waterbodies and watercourses * parks and protected areas * Areas of Natural and Scientific Interest (ANSIs) The data layers are overlaid in a GIS system and points are assigned to the features in each layer according to their conservation value. Core natural areas were identified by a combination of minimum size and a minimum point score per pixel. Potential linkages between these cores were computed by assigning scores to the landscape surrounding the cores based on the probable resistance to wildlife movement. We do not currently use this methodology for similar analyses.
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