Search Results
Displaying:
1 - 10 of 10
Challenges in Co-operative Reclamation Research
Resource
There may be different interpretations of cooperative reclamation research, so it is appropriate to explain how the term will be used in subsequent discussions. The basic concept is to broaden the...
Peat Loss Collocates with a Threshold in Plant–Mycorrhizal Associations in Drained Peatlands Encroached by Trees
Resource
Drainage-induced encroachment by trees may have major effects on the carbon balance of northern peatlands, and responses of microbial communities are likely to play a central mechanistic role. We...
Restoration of Linear Disturbances From Oil-and-gas Exploration in Boreal Landscapes: How can Network Models Help?
Resource
Abstract In western Canada, decades of oil-and-gas exploration have fragmented boreal landscapes with a dense network of linear forest disturbances (seismic lines). These seismic lines are implicated...
The Philosophy and Theory of Ecological Restoration
Resource
We are in the midst of an unprecedented crisis of declining biodiversity. Due to the extent of ecosystem devastation and degradation, reversing the trend requires the restoration of natural systems...
Video - Enhanced Fuel Mapping for Wildfire Management
Resource
This presentation discusses ways that LiDAR data can be used in forestry management, including for mapping mountain pine beetle infestations.
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