|Forest Investment Account|
|Abstract of FIA Project 4030016|
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Predicting the distribution of mountain caribou, wolverine, fisher, and grizzly bear in Prince George forest district: i. habitat parameters
|Author(s): Proulx, Gilbert||Imprint: Prince George, B.C. : Canadian Forest Products Ltd., 2003||Subject: Stream Conservation, British Columbia, Forest Investment Account (FIA), Endangered Species||Series: Forest Investment Account (FIA) - Land Base Investment Program - Innovative|
In British Columbia, general measures have been developed to manage biodiversity at landscape and stand levels (B.C. Ministries of Forest and Environment 1995a, b). These management approaches are "coarse filter" strategies to conserve a variety of wildlife species. Whereas such measures may not be sufficient to ensure the conservation of special status species, "fine filter" management guidelines are required to ensure that species at risk are maintained throughout ecosystems (CanFor 2002). However, in order to develop landscape- and stand- level management programs for species at risk, it is necessary to have a priori an understanding of the probable distribution of such species. This project is a first step in the development of management strategies to predict and manage habitats of species at risk. In the Prince George Forest District, there are currently 12 vertebrate species that received the status of "identified wildlife", i.e., species at risk that require special management attention and are protected under the Forest Practice Code of British Columbia (Proulx et al. 2002). Proulx (2003) pointed out that there was a lack of tools to predict the distribution of mountain caribou (Rangifer tarandus), grizzly bear (Ursus arctos), fisher (Martes pennanti), wolverine (Gulo gulo), and mountain goat (Oreamnos americanus), and properly assess the impact of forest activities in CanFor's Planning Areas. Proulx's (2003) conclusion echoed assessments made by other wildlife professionals (e.g., Gyug 2002, Cichowski 2003, Weir 2003a,b). It is therefore necessary to develop habitat predictive models for these species. Such a model has been initiated by Slocan (Mackenzie District) for mountain goat (D. Heard, WLAP, 2003, pers. comm.).
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Updated August 02, 2006
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