Defines areas protected from harvesting activities by Order-in-Council as per part 13 of the Forest Act.

The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours.

Fisheries Information Summary System (FISS) layer of Historic (pre 2001) Fish Distribution Points of BC Streams. Points represent site locations where a fish species is rearing, spawning or observed or where a point is located at the mouth of a stream it indicates the presence of a fish species somewhere in the stream as a whole. Georeferenced to the stream centreline network layer of the 1:50,000 scale BC Watershed Atlas.

This publication contains thirteen (13) maps of different biogeochemical and soil properties of forest ecosystems of Canada’s managed forest. A scientific article gives additional details on the methodology: Paré, D., Manka, F., Barrette, J., Augustin, F., Beguin, J. 2021. Indicators of site sensitivity to the removal of forest harvest residues at the sub-continental scale: mapping, comparisons, and challenges. Ecol. Indicators. https://dx.doi.org/10.1016/j.ecolind.2021.107516

Anomalous weather resulting in Temperature and Precipitation extremes occurs almost every day somewhere in Canada. For the purpose of identifying and tabulating daily extremes of record for temperature, precipitation and snowfall, the Meteorological Service of Canada has threaded or put together data from closely related stations to compile a long time series of data for about 750 locations in Canada to monitor for record-breaking weather. Virtual Climate stations correspond with the city pages of weather.gc.ca. This data provides the daily extremes of record for Temperature for each day of the year. Daily elements include: High Maximum, Low Maximum, High Minimum, Low Minimum.

Find information about irrigation equipment suppliers in Ontario who offer specialized equipment or services. These lists are maintained by the Ministry of Agriculture, Food and Agribusiness (OMAFA) and include: * business names * telephone numbers * website addresses (where available) * description of equipment and services These lists do not imply any endorsement or recommendation by the ministry. If you would like to nominate a supplier for inclusion on this page, contact the Agricultural Information Contact Centre at 1-877-424-1300 or [ag.info.omafa@ontario.ca](ag.info.omafa@ontario.ca) for additional support.

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).

In 2009, DFO defined 12 marine bioregions across the three oceans bordering Canada to support its marine planning efforts, such as the establishment of networks of marine protected areas. However, these bioregions cover vast areas and exhibit significant ecological heterogeneity, especially along the coasts. Yet, this heterogeneity in coastal ecosystems often needs to be considered at the local scale, particularly for management and conservation purposes.The objective of this exercise is to subdivide the Estuary and Gulf of St. Lawrence (EGSL) bioregion for the province of Quebec into coastal sub-bioregions to better reflect local and regional coastal characteristics. The coastal classification presented in this report is based on the integration of four existing classification systems for the EGSL, which were not specifically designed for classifying coastal ecosystems. Integrating these classification systems into a single approach allowed us to define 13 coastal sub-bioregions for the EGSL. Data presented here are the limit of the 13 ecoregions made from this work. A technical report is available for more details. See supporting documents:Gendreau, Y., Narancic, B. et Bourassa, M-N. 2025. Classification écologique du territoire côtier de l’estuaire et du golfe du Saint-Laurent au Québec. Rapp. tech. can. sci. halieut. aquat. 0000 :v + 22p.

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.