Polyline feature layer of winter trails in Manitoba provincial parks. This feature layer contains polylines showing locations of winter trails in Manitoba provincial parks. Winter trails are those trails designated for certain winter activities, such as cross-country skiing, skijoring, skate-skiing, fat biking, and dog sledding. Most of these trails are groomed by Manitoba Parks staff throughout the season. This layer is used in the interactive map Manitoba Parks - Winter Activity Trails Map and the web app Manitoba Parks - Winter Trails and Recreation Areas. The dataset includes the following fields (Alias (Name): Description) Trail Name (Trail_Name): Name of the trail Park Name (Park_Name): Name of the provincial park where the trail is located Winter Use (Winter_Use): Indicates whether or not the trail is designated for winter use (Note: All features in this layer have a value of 'Yes') For more information about winter activities, visit the Manitoba Parks website.

This is the 5 year investment plan for Manitoba Highway and Infrastructure Capital Projects. This dataset will show all the proposed infrastructure projects for the next 5 years. This Feature layer is similar to the "Manitoba Capital Plans Project Status" and will be updated once a year.This dataset contains points showing the locations of the capital projects such as asphalt surface treatment, grading, bituminous rehabilitation, concrete reconstruction, culvert jacking, intersection improvement, structures improvement, traffic signal improvements, and traffic safety improvements. This dataset was created by digitizing high-resolution imagery of Manitoba road network, bridge sites, and culvert locations. The details of the capital projects are available as attributes of the dataset.Fields included (Alias (Field Name): Field description.)Hwy (Hwy): The highway number where the project is located.  Location Description (Location_Description): A detailed description of the project location. Project Distance in km (km): The physical length of the project Project Type (Project_Type): A particular category assigned to the project based on the nature of work. Investment Category : (Investment_Category): Category of future investment for the project. (Ex: Renewal, Economic Development, Connectivity and Innovation, Climate Resiliency)  Municipality Name (MUNI_NAME): The name of the municipality where the project is located. Department Program (Department_Program): The name of the MI department responsible for the project.This dataset is used in Manitoba Infrastructure Projects an interactive map that shows Manitoba infrastructure's new, approved, and continuing capital project locations.

Map showing the locations of sites included in the Contaminated Sites Registry This map shows the locations of sites included in the Contaminated Sites Registry. There are three types of sites in the registry: Designated Contaminated, Designated Impacted, and Not Designated.  The data for this map are provided via a web csv file that is maintained by Environment, Climate and Parks staff. For more information visit Environment, Climate and Parks website.

Application showing the locations of sites included in the Contaminated Sites Registry This application shows the locations of sites included in the Contaminated Sites Registry. There are three types of sites in the registry: Designated Contaminated, Designated Impacted, and Not Designated.  The data for this map are provided via a web csv file that is maintained by Environment, Climate and Parks staff. For more information visit Environment, Climate and Parks website.

Polygon feature layer of Manitoba's economic regions This feature layer depicts the boundaries of economic regions in Manitoba. There are eight regions in Manitoba, defined by Statistics Canada. Fields included [Alias (Field Name): Field description] Economic Region (Economic_Region): The name of the economic region For more information, see Regional Economic Profiles on the Manitoba  government  website.FF

A dashboard intended for the purpose of easily and efficiently displaying Chronic Wasting Disease (CWD) sample data collected throughout the years. Displayed is species, season, and location specific information regarding sampling and sample submission. This dashboard displays the results of sampling for Chronic Wasting Disease (CWD) in deer, elk, moose, and caribou. Sampling for CWD has been ongoing since 1997; however, Manitoba only confirmed the first positive case of CWD on November 1, 2021. Since 2021 there have been a total of 30 positive cases across Manitoba, illustrating the need for extensive sampling and tracking of cervids. CWD is a fatal disease of the central nervous system of deer, elk, moose and caribou, members of the cervid (deer) family. The disease is caused by one or more strains of self-propagating proteins, called prions. The prions, once transmitted, begin to spread, first in the immune system (lymph nodes and tonsils) and later, in the brain, spinal cord, and other organs. There is no cure for CWD. It is always fatal, with animals dying typically within two to three years and sometimes, as long as five years or more from the time of infection.  The dashboard shows all species and season data since the confirmation of the first CWD case in Manitoba in 2021, as well as the number of positive and negative samples submitted. Hunters can also view the comprehensive list of all drop-off depots that accept CWD sample submissions. This dashboard was created by the Manitoba Wildlife Branch.

Shows sub-basin-averaged precipitation from the GEPS ensemble, reflecting the mean (or other metrics) of multiple ensemble members. Useful to understand probabilistic rainfall/snowfall expectations for each watershed. GEPS is ECCC’s ensemble system, running ~20 members globally to quantify forecast uncertainty out to ~16 days. This layer aggregates ensemble precipitation data over sub-basin polygons. The attribute “Average Accumulated Precipitation” often represents the ensemble mean, capturing a more probable average scenario. Operators can use this for risk-based hydrological planning or to gauge confidence in upcoming flood/drought scenarios across different sub-basins.

This WebMap comprises of two layers , namely, HRDPA Observed Accumulated Precipitation - Past 1 day, 3 days and 7 days (feature layer) ; and HRDPA SubBasin Precipitation Distribution - Past 1 day, 3 day, and 7 days (feature layer). HRDPA is ECCC’s high-resolution precipitation analysis, merging gauge, radar, and HRDPS model data. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analysis valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day.

This is the web experience created using ArcGIS Web Experience Builder to portray the dynamic precipitation maps derived using various weather model data published by the Environment Canada, National Oceanic and Atmospheric Administration and European Centre for Medium-Range Weather Forecasts. It contains various precipitation layers for each of the models depicting various forecast periods / observation periods. The underlying data is updated regularly as the data gets published by ECCC/NOAA/ECMWF as per the publishing frequency. Following are the forecast weather models depicted in this Web Experience : HRDPS Model (High Resolution Deterministic Prediction System - Continental) for 24 and 48 hours of forecast periods. Regional Ensemble Prediction System (REPS) for 72 hours of forecast period hour. Regional Deterministic Prediction System (RDPS) for 84 hours of forecast period hour. Global Deterministic Prediction System (GDPS) for 168 and 240 hours of forecast periods. Global Forecast System (GFS) for 168 hours of forecast period. Global Ensemble Prediction System (GEPS) for 168 and 384 hours of forecast period. European Centre for Medium-Range Weather Forecasts for 168 hours of forecast periodAnd following are the observed weather models depicted in this Web Experience :High Resolution Deterministic Precipitation Analysis (HRDPA) with observation periods of the past 1 day, 3 days and 7 days.Special Thanks to Environment and Climate Change Canada, NOAA’s National Centers for Environmental Prediction, European Centre for Medium-Range Weather Forecasts

This feature class represents Manitoba's Forest Management Unit (FMU) boundaries. Forest Management Units (FMU's) define a forested area with common forest conditions that are managed in a similar manner. Forest Sections are comprised of FMU's. Forest inventories within Forest Management Units are analysed to determine allowable harvest limits of softwood and hardwood tree species within each Forest Management Unit. Version 3: The southern portion of FMU 67 within the Highrock Forest Section has been adjusted to align with base features captured in 2009. Additionally, an 11 hectare portion of the Saskatchewan River Forest Section (FMU 59) has been added to the Highrock Forest Section. Version 4: The northern portion of FMU 68 along the Rail Haul within the Highrock Forest Section has been adjust so that the boundary falls within water only. Additionally, version 4 splits the 'White Zone' forest section (FMU 76) by ecozones, creating FMU 76 (Taiga Shield), FMU 77 (Southern Arctic), FMU 78 (Hudson Plain) and FMU 79 (Boreal Shield). Version 4 is dated February 8, 2013. Fields Included: OBJECTID: Sequential unique whole numbers that are automatically generated . MANAGEMENT_UNIT_NUMBER : Management Unit (MU) number . S ECTION : Forest section number . SECTION_NAME : Forest section name .