Search Results
Displaying:
1 - 9 of 9
Fort McKay First Nation’s Involvement in Reclamation of Alberta’s Oil Sands Development
Resource
In the future, Fort McKay will continue to strive for faster reclamation that will restore the land to pre-mining conditions and seek the complete elimination of fluid fine tailings stored in an EPL
Webinar - Alberta’s Moose Lake Access Management Plan: Potential to Support Indigenous Rights and Caribou Critical Habitat Requirements
Resource
This joint presentation by representatives of Fort McKay First Nation and Alberta Wilderness Association will describe the vision and significance of Alberta’s landmark 2021 Moose Lake Access...
Webinar - Caribou Conservation, Treaty Rights, and Guardians in Alberta's Oil Sands
Resource
This video is a recording of a presentation about the Moose Lake Access Management Plan (MLAMP), a unique agreement and collaboration between the Government of Alberta and Fort McKay First Nation. Now...
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 - Habitat Restoration: Why Indigenous Partnerships Matter
Resource
Input from Indigenous communities into restoration programs is critical, yet such input is often sought after planning is complete. In contrast, we present a case study of a partnership approach to...
Webinar: Caribou Conservation, Treaty Rights, and Guardians in Alberta's Oil Sands
Event
Event Date and Time
January 16th, 2023 at 11:00am MST to January 16th, 2023 at 1:00pm MST
The Indigenous Knowledge Circle of the National Boreal Caribou Knowledge Consortium invites you to join this workshop to learn about progressive land management strategies that support Treaty rights...
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