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Statistical Analysis of Monitoring Data Aids in Preditcion of Stream Temperature


Declines in cold water habitat and fisheries have generated stream temperature monitoring efforts across northern California and the western United States. In this paper we demonstrate a statistical analysis approach to facilitate the interpretation and application of these datasets to achieve monitoring objectives. Specifically we demonstrate an approach to identify and quantify relationships which might exist between stream temperature and factors such as streamflow, stream canopy cover, and air temperature.

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