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Field stream classification (Poulin) for the Dawson Creek Forest District: an experimental procedure for risk managing streams V.A. Poulin and Associates Ltd.
2004
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Abstract: The purpose of the current project was to test and evaluate a stream classification model that uses the habitat parameters - stream order, stream width, channel depth, pool depth, gradient, and pool to riffle ratio to predict the probability of use by sport fish in streams within the Dawson Creek Forest District. These parameters are quantifiable measures of fish habitat. By providing each with a weighted value equivalent to the strength of that parameter in predicting the probability of use by fish, the sum total of values provides a measure of probability of use. By ranking habitat scores it is then possible to establish categories such as Nil, Low-Nil, Moderate or High probability for the assumed risk of fish occurring at any given site. In this study, sites ranked Nil or Low-Nil are defined as those lacking adequate habitat to support sport fish or be reasonably expected not to support fish. They are candidates for S5 or S6 stream classification and management practice. Streams ranked Moderate are those where sufficient habitat is present that it is not possible to determine fish presence without fish sampling. Such sites would require a traditional fish stream survey or defaulted to fish bearing in the absence of such a survey. Sites classified as High contain sufficient amounts of high quality habitat to virtually assure sport fish use. A survey is optional and likely done only in situations of questionable fish access. V.A. Poulin and Associates Ltd.
 
V.A. Poulin and Associates Ltd.. 2004. Field stream classification (Poulin) for the Dawson Creek Forest District: an experimental procedure for risk managing streams. Forest Investment Account (FIA) - Forest Science Program. Forest Investment Account Report. FIA2004MR105
 
Topic: FLNRORD Research Program
Keywords: Forest, Investment, Account, (FIA), Fish, habitat, British, Columbia, Stream, Ecology
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