Buffer zones surrounding mapped watercourses and wetlands where forest activity is regulated on Crown land to maintain water quality and aquatic habitat.

One of the spatial views of the BC WATERSHED ATLAS 50K, which is the digital basemap representation of the aquatic Man-made waterbodies, Wetlands and Double-line Rivers based on the 1:50,000 scale Canadian National Topographic Series of Maps.

The digital atlas contains distribution information of dominant forest plants, species assemblages (vegetation types), and some habitat and structural characteristics for the eco-district 6e10 and Greater Park Ecosystem (GPE) — St. Lawrence Islands National Park. We used statistical modeling and prediction to make the distributional information for the entire study area. We extrapolated information from geo-referenced vegetation data collected during summers from 2005 to 2007 with other spatial layers, such as digital elevation and remote sensing derivatives. The maps are in raster (grid) format at a 10m resolution. You can navigate them by following the documents and readme files in the individual folders or in the main document folder called ‘6e10_documents’. In southern Ontario, there is a lack of current ‘wall-to wall’, fine-scale, vegetation class and species vegetation mapping to support diverse applications and initiatives related to natural resource management, conservation and landscape and land-use planning. These maps could serve as baseline information for: * natural heritage design and planning * Species at Risk (SAR) recovery planning * state of biodiversity reporting * forest management and planning * invasive species management * ecological goods and services estimates * wildlife habitat modeling and mapping * additional applications and research techniques * requiring mapped vegetation information __How to reference this dataset__ This product should be referenced as: Puric-Mladenovic, Danijela, Julia Buck; David Bradley, Robert Arends, Silvia Strobl, and Nayna Khalatkar (2008). _Digital atlas of predicted species distributions, vegetation assemblages and habitat characteristics for the eco-district 6e10 and GPE — St. Lawrence Islands National Park’_, version 1.0.. Information Management and Spatial Analysis Unit, Southern Science and Information Section, OMNR, Peterborough, Ontario. __Additional time period information__ Field sampling was collected during the summer months from 2005 to 2007. The following activities took place during 2008: * spectral and environmental data assembly * predictive modelling and mapping Alternate title: Plant atlas for St. Lawrence Islands National Park

To support the WAWA program at the Department of Environment and Local Government and alert primary users to the location of wetlands and possible regulatory requirements for land development. The wetlands map is intended for planning purposes only. The wetland boundaries are only approximate.

Knowledge of the location of Earth’s surface water in time and space is critical to inform policy decisions on environment, wildlife, and human security. Dynamic surface water maps generally represent water occurrence, also referred to as inundation frequency, depicting the percentage of valid observations when water is detected at the surface. The location and duration of surface water varies from areas of permanent water with 100% inundation frequency where water is always observed, to areas of permanent land with 0% inundation where water never occurs. Between these two extremes are areas of ephemeral water that experience periodic flooding with inundation frequencies between 0-100%. National-scale dynamic surface water information was generated for years 1984-2023 at 30m spatial resolution from the historical Landsat archive over Canada. The complete dataset consists of annual water maps and derived products including inundation frequency and inter-annual wetting and drying trends calculated using per-pixel logistic regression. The complete dataset enables an assessment of the timing, duration, and trends towards wetting or drying at regional to national scales. Associated publication: https://www.sciencedirect.com/science/article/pii/S0034425722002358