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Determining Sustainable Levels of Cumulative Effects for Boreal Caribou
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...
Incorporating Mechanism into Conservation Actions in an Age of Multiple and Emerging Threats: The Case of Boreal Caribou
Resource
Conservation strategies for imperiled species are frequently based on identifying and addressing the probable causes of population decline, an approach known as the declining population paradigm...
Nested Population Structure of Threatened Boreal Caribou Revealed by Network Analysis
Resource
Delineating relevant local populations of widely distributed species is a common challenge in conservation ecology. Caribou and reindeer ( Rangifer tarandus) are in general decline throughout their...
Perfluoroalkyl Substances in Circum-Arctic Rangifer: Caribou and Reindeer
Resource
Livers of caribou and reindeer (Rangifer tarandus) from Canada (n = 146), Greenland (n = 30), Svalbard (n = 7), and Sweden (n = 60) were analyzed for concentrations of eight perfluoroalkyl carboxylic...
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: 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