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Intrinsic Traits of Woodland Caribou Rangifer tarandus Calves Depredated by Black Bears Ursus americanus and Coyotes Canis latrans
Resource
Individuals in substandard physical condition are predicted to be more vulnerable to predation. Support for this prediction is inconsistent partly as a result of differences across systems in the life...
Large Animal Models for Chronic Wasting Disease
Resource
Chronic wasting disease (CWD) is a fatal neurodegenerative prion disease of cervid species including deer, elk, moose and reindeer. The disease has shown both geographic and species expansion since...
Using Tree Ring Analysis to Determine Impacts of a Road on a Boreal Peatland
Resource
This resource is available on an external database and may require a paid subscription to access it. It is included on the CCLM to support our goal of capturing and sharing the breadth of all...
Webinar - Biodiversity and Ecosystem Functioning of Forested Wetlands across Atlantic Canada
Resource
Forested wetlands are an integral but understudied part of the broad landscape of Atlantic Canada. Our project took a multifaceted approach to increasing knowledge about forested wetlands across the...
Webinar - Climate Variability and Change in the Southern Boreal Forest of Northern Saskatchewan
Resource
Presented by Dave Sauchyn, Director of the Prairie Adaptation Research Collaborative at the University of Regina and Professor of Geography and Environmental Studies. Since the mid 20th century, mean...
Webinar - Establishing Vegetation on Constructed Fens in Alberta's Oil Sands Region
Resource
Oil sands mining in Alberta has disturbed large areas of peatlands, the dominant regional ecosystem type, and no formal strategies exist to reconstruct the landscape. Peatland reclamation is...
Webinar: Flooding Risk Prediction on Agricultural Lands Using Artificial Intelligence Techniques
Event
Event Date and Time
September 27th, 2023 at 12:00pm MST to September 27th, 2023 at 1:00pm MST
The study will employ the latest artificial intelligence methodologies for data processing and predictive risk modeling approach