4 record(s) found in the location "Dehcho Region" (multi-year projects are grouped):
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Impacts of climate change on fire fuels in wetlands and forested areas
Principal Investigator: Chasmer, Laura E
Licensed Year(s): 2023
Summary: This licence has been issued for the scientific research application No. 5614. The objectives for this research licence are to compare the fuel characteristics within accessible areas in the Fort Simpson area to collected lidar remote sensing, to develop an ecozone specific fire fuel model; to determine how fire fuels have changed within northern latitudes over time and compare them to the chan...


Short and long term effects of forest fires on the stability of carbon pools in the arctic permafrost and subarctic forests (ARCTICFIRE)
Principal Investigator: Koster, Kajar
Licensed Year(s): 2018 2015
Summary: The aim of this project is to study the short term and long term effects of different fire intensities on the decomposition of soil organic matter (SOM) in northern boreal forests under changing fire regimes. The objectives are to: 1) explore the short and long term effects of forest fires with different intensity on above- and belowground biomasses; 2) explore changes in albedo, snow depths an...


Using Traditional Knowledge of JMRFN Elders to better understand changes in the boreal caribou habitat.
Principal Investigator: Laurent, Cyrielle C
Licensed Year(s): 2017
Summary: This project aims to demonstrate the cumulative impact of permafrost degradation and forest fire on boreal caribou habitat and how caribou habitat degradation affects Jean Marie River First Nation (JMRFN). To do this the research team will collect and use traditional knowledge (TK), and analyse it in a geographic information system (GIS) with scientific data. The research team expect to locate are...


A Northern Forest Ecosystem Simulation Model of Early Post-Fire Tree Seedling Establishment, Growth and Competition
Principal Investigator: Gal, Ruth Ann
Licensed Year(s): 1993 1992
Summary: The researcher and her team will glean physiological rates and relationships for tree growth from the literature and substitute the data into a functional model, which will be calibrated against intensive sampling within WBNP over dry, mesic and wet landscapes....


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