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High-Resolution Minirhizotrons Advance our Understanding of Root-Fungal Dynamics in an Experimentally Warmed Peatland
Resource
Mycorrhizal fungi enable plants to thrive in the cold, waterlogged, organic soils of boreal peatlands and, with saprotrophic fungi, largely contribute to the sequestration of atmospheric carbon in...
Management Plan for Peary Caribou in Nunavut
Resource
A 2017 lengthy Nunavut government submission to the Nunavut Wildlife Management Board on a management plan for Peary Caribou in Nunavut. The plan was to run from 2014-2020. It divides the caribou in...
NWMB Workshop Report: “Protecting Caribou and their Habitat”
Resource
This 2015 workshop report from the Nunavut Wildlife Management Board is on finding a balance between resource development and caribou in Nunavut. The report includes detailed information on the...
Review of Post-2010 Literature on Human Effects on Barren-Ground Caribou: Focus on Traditional Knowledge, Western Science and Caribou Protection Measures
Resource
This 2015 report prepared for the Nunavut Wildlife management Board reviews both scientific and traditional knowledge sources published from 2010-2015 on the effects of human disturbance on barren...
Warming Response of Peatland CO2 Sink is Sensitive to Seasonality in Warming Trends
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 - 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