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International Boreal Forest Research Association Conference 2021
Event
Event Date and Time
August 16th, 2021 at 7:00am PST to August 20th, 2021 at 1:00pm PST
ONLINE,
Organization
Due to the continued uncertainties created by the pandemic, we have made the decision, like many other events in 2021, to move the IBFRA 2021 Conference to an entirely online format. The dates for the...
Learning from our Elders - Northern Indigenous perspectives on climate and environmental change
Project
Contact
Organization:
Project Description: The project was a short-term research exchange between Indigenous communities and scholars in Canada and Sweden, comparing Elder's perspectives on changing environments and...
Learning from our Elders: Aboriginal Perspectives on Climate Change and Reindeer/Caribou Habitat in the Circumboreal Forest
Resource
Excerpt from resource description: The northernmost regions in the world are projected to suffer the most severe consequences of climate change. Natural resource-based communities and Indigenous...
The International Boreal Forest Research Association Conference: Climate Resilient and Sustainable Forest Management
Event
Event Date and Time
August 28th, 2023 at 12:00am to August 31st, 2023 at 11:59pm
Helsinki,
Organization
The boreal forest, which is the second most extensive terrestrial biome on earth, is experiencing environmental changes at rates that are unprecedented. Changing climates are increasing disturbances...
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