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Can Plant or Lichen Natural Abundance 15N Ratios Indicate the Influence of Oil Sands N Emissions on Bogs?
Resource
The 140,329 km 2 Athabasca Oil Sands Administrative Area (OSAA), which contains 8982 km 2 of bogs. Since the late 1970s, N emissions from oil sands development in the OSAA have steadily increased...
CEMA Resources Available Online
News
The Cumulative Environmental Management Association (CEMA) was a leading multi-stakeholder group operating in the heart of Canada’s boreal forest - the Regional Municipality of Wood Buffalo, Alberta...
Mapping and Monitoring Peatland Conditions from Global to Field Scale
Resource
Peatlands cover only 3–4% of the Earth’s surface, but they store nearly 30% of global soil carbon stock. This significant carbon store is under threat as peatlands continue to be degraded at alarming...
Research as Reciprocity: Northern Cree Community-Based and Community-Engaged Research on Wild Food Contamination in Alberta’s Oil Sands Region
Resource
In this paper, the author suggests that it is possible to participate in research as an act of reciprocity; when a community asks a researcher for help on a specific topic, the application of that...
Scott Ketcheson
Contact
Organization
Position Title
Assistant Professor, Canada Research Chair in Hydrological Sustainability
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 - Towards Understanding the Influence of Headwater Catchments on Water Availability in the Athabasca River Basin
Resource
This presentation highlights the importance of northern Alberta’s “mountains” and wetlands on sustaining water flows in local streams and regional rivers in the Athabasca River Basin.
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