Title
Predicting non-inventoried forest elements using forest inventory data - The case of winter forage for caribou
Author(s)
Boan JJ
Published
2013
Publisher
Ecoscience
Abstract
Growing development pressures and expectations that forest managers provide future wildlife habitat require better understanding of species' habitat needs, particularly food, cover, and space requirements, and an ability to spatially depict these needs. In forest management in Canada, the primary data used to identify and quantify wildlife habitat reside in remotely sensed forest resource inventories (FRI) that were originally developed to assess timber values for merchantable tree species. Although FRI- and field-based sampling do not always show strong agreement, research has shown that FRI can be informative for wildlife habitat assessments. This study uses 152 plots in northwestern Ontario to compare the ability of field-based and remotely sensed forest inventories to predict Cladonia lichen cover, a primary winter food source for woodland caribou.
Full Citation
Boan JJ, Mclaren BE, Malcolm JR. 2013. Predicting non-inventoried forest elements using forest inventory data: The case of winter forage for caribou. Ecoscience 20(2): 101-111. DOI: http://dx.doi.org/10.2980/20-2-3567.

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