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CBFA/FPAC, Pasquia-Bog Caribou Conservation Plan
Project
Contact
Organization:
Project Description:The Pasquia-Bog area was assessed by reviewing best available caribou Indigenous Knowledge and western science information to characterize the caribou range and draft an...
Characterizing an Inter-jurisdictional Woodland Caribou Range in the Boreal Plain
Resource
The Canadian Boreal Forest Agreement (CBFA) undertook an assessment of the Pasquia-Bog area to characterize the range using best available science and information.
Drivers, Pressures, and State Responses to Inform Long-term Oil Sands Wetland Monitoring Program Objectives
Resource
Boreal peatlands provide numerous ecosystem services ranging from carbon sequestration to the provisioning of habitat for species integral to Indigenous communities. In the Oil Sands Region of Alberta...
Recommendations and Proposed Contributions Towards a Caribou Conservation Plan: Pasquia-Bog Boreal Caribou Population
Resource
Pasquia-Bog Woodland Caribou Range Plan - version as recommended to Canadian Boreal Forest Agreement Secretariat.
Recommendations for, and Voluntary Contributions, Towards a Kesagami Range Caribou Action Plan
Resource
This document records the recommendations and the voluntary contributions of the Canadian Boreal Forest Agreement (CBFA) signatories for a Caribou Action Plan in the Cochrane-Quebec/Kesagami caribou...
Understanding Disturbance Thresholds and Opportunities to Achieve Better Outcomes for Boreal Caribou in Canada: A Primer
Resource
The Canadian Boreal Forest Agreement commits signatories to promote recovery of boreal caribou through regional caribou action planning across Canada. The following primer describes how the national...
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: 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