Tick data collected by Mount Allison University including Lyme disease test results. *This data has been generalized for privacy and is only based on ticks sent to Mount Allison University

Table containing information relevant to animal disease investigations in Manitoba from 2012 to present.This table contains information relevant to animal disease investigations in Manitoba from 2012 to present, conducted by the Chief Veterinary Office (CVO). Information includes year, number of sites, number of linked sites, animal species, disease types and results. Updated on a weekly basis.  It is important that users are aware of the following caveats when reviewing data presented in the Animal Disease Investigations Dashboard: 1. Each investigation can have one or more cases involved depending on the number of herds or animals exposed.  Not all disease investigations are handled the same due to a partnership approach.  Diseases can be detected via surveillance, ad hoc reporting, or through other programs. 2. Rabies is a separate program. Please see Manitoba's Provincial Rabies Management Program for data related to Rabies Surveillance.3. Certain zoonotic diseases, such as salmonella or influenza, are also captured in more detail through other means.  The total occurrence of a zoonotic disease represented in this dashboard reflects occurrences where risks or exposures were deemed significant enough to warrant further investigation.  4. Historically, One Health Investigations that were predominantly focused on Public Health issues rather than Animal Health concerns were not captured in this system and will be underrepresented here. Fields included ( Alias (Field Name): Field description.) Year (Year): Year of the disease investigation Number of Sites (Number_of_Sites): Number of investigation sites Number of Linked Sites (Number_of_Linked_Sites): Number of sites linked to investigation sites Species/Class (Species__Class): Group of animal species Disease Type (Disease_Type): The type of disease that is being investigated Result (Result): The outcome (positive/negative) for the corresponding animal disease investigation

Data show where pathogens - fungal, bacillial or viral - have caused damage by reducing growth rates, tree vigor or have killed trees. Examples of forest diseases include White Pine Blister Rust, Armillaria Root Rot etc. The Government of Ontario tracks forest damage events to help proactively manage the detrimental effects to our forests. We monitor the threat and spread of invasive forest pest insect species in Ontario. The data is also important to the Forest Management Planning process in calculating timber volume loss within affected areas. This product requires the use of geographic information system (GIS) software.

This file outlines the boundaries of Manitoba Agriculture's crop reporting regions./This file describes the boundaries of Manitoba Agriculture's crop report regions.This file outlines the boundaries of the five crop reporting regions as specified in Manitoba Agriculture's Crop Report.The Manitoba Agriculture Crop Report provides information on progress of seeding and crop establishment, crop development, any pest activity including weeds, insects and disease, crop activity including weeds, insects and disease, harvest progress, insects and disease, harvest progress, insects and disease, harvest progress, crop yields and grades, fall field work progress, and status of winter cereal crop seeding and establishment. In addition, it provides information on haying progress and estimated yields, as well as pasture conditions.This file describes the boundaries of the five crop report regions as specified in the Agriculture Manitoba crop report.The Manitoba Agriculture crop report provides information on progress in planting and establishing crops, as well as crop establishment, vegetative development, pest activities including weeds, insects, and diseases, harvest progress, yields and crop rankings, progress on field work in the fall, and the status of planting and establishing winter cereal crops. In addition, it provides information on the haymaking process and estimated yields, as well as on pasture conditions.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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.

The Forest Protection Area dataset is comprised of all the polygons that represent the administrative areas established by Forest Protection, Forestry Division of Alberta Agriculture and Forestry concerned with the prevention and control of damage to forests from fire, insects, disease and other harmful agents.

Miscellaneous events are often the result of the cumulative impact of a combination of abiotic, insect and disease agents or events. For example, Aspen decline where repeated infestations of Forest Tent Caterpillar, are combined with several seasons of prolonged drought. The Government of Ontario tracks forest damage events to help proactively manage the detrimental effects to our forests.   We monitor the threat and spread of invasive forest pest insect species in Ontario. The data is also important to the Forest Management Planning process in calculating timber volume loss within affected areas. This product requires the use of geographic information system (GIS) software.

Tick data collected by Geneticks and Mount Allison University, including test results for various types of pathogens. For instructions on how to view and search this dataset there are posted resources at https:/

This GIS dataset covers the four types of decontamination zones for whirling disease in Alberta, and identifies the inherent risk categories for each. These boundaries are to be used by Government of Alberta field staff and industry, as described in the Alberta Decontamination Protocol for Watercraft & Equipment. (1) Confirmed Red Zones are zones with CFIA confirmed positive testing for whirling disease and are based on a 'HUC 10' level as found in the Hydrologic Unit Coded Watersheds of Alberta dataset. Irrigation Red Zones are similar to confirmed red zones, however are based on Irrigation District boundaries and only apply to irrigation canals. (2) Yellow Zones represent high to moderate risk for the introduction/spread of whirling disease due to one or more of the following criteria: susceptible salmonid species present, high recreational activity/use and access to water, and high population base. (3) White Zonesdo not have any confirmed cases of whirling disease and represent lower risk due to lower population base and less activity/use.

The Natural Disturbance Type map is based on the Provincial Biodiversity Guidebook (1995) and the current and most detailed version of the approved corporate provincial Biogeoclimatic Ecosystem Classification (BEC) Zone/Subzone/Variant/Phase map (version 12, September 2, 2021) (Data Catalog record: https://catalogue.data.gov.bc.ca/dataset/bec-map). The natural disturbance type classification code is used to designate a period process or event such as insect outbreaks, fire, disease, flooding, windstorms and avalanches that cause ecosystem change and renewal. Natural disturbance type classification and mapping is used for a wide variety of applications in British Columbia. A few examples include: delineation of Natural Disturbance Types for Landscape Unit Planning; delineation of Seed Planning Zones; as an input for Predictive Ecosystem Mapping; reporting on the ecological representation of the Protected Areas Strategy; and as a level in the classification hierarchy for Broad Ecosystem Units. Note that this mapping is deliberately extended across the ocean, lakes, glaciers, etc to facilitate intersection with a terrestrial landcover layer of your choice