Forest Investment Account

Abstract of FII Project R04-079

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Predicting stream temperature responses to clear-cut logging: test of the Mellina et al. (2002) model

Author(s): Hinch, Scott (University of British Columbia)
Subject: Forestry, Hydrology
Series: Forest Investment Account (FIA) - Forest Science Program


In a recent FII-funded project, Mellina et al. (2002) developed a model to predict downstream temperature trends in small headwater and lake-headed streams using easily measured predictors (stream temperature and canopy cover). Because canopy cover is a variable that is expected to change following logging, the model has the potential to allow forestry and fisheries managers to predict post-logging temperature responses in small streams. Although Mellina et al. (2002) provide some measure of independent spatial and temporal testing of their model, the accuracy of its predictions as it relates to streams other than those used in the model's development, as well as to forecasting postlogging temperature changes, remains largely untested. The main focus of our proposal is therefore to subject their model to a rigorous, independent test to assess its predictive capabilities across space and across time. The results will prove useful to fisheries and forestry managers across B.C.

For further information, please contact Scott Hinch, University of British Columbia (

Updated September 08, 2005 

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