Statistical analysis of monitoring data aids in prediction of stream temperature
Stream monitoring programs across northern California are watching changes in water temperatures and their impacts on fish habitat. A statistical analysis approach was developed for the interpretation of data sets in order to achieve monitoring objectives. A case study of data collected from the Wil...
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Veröffentlicht in: | California agriculture (Berkeley, Calif.) Calif.), 2005-07, Vol.59 (3), p.161-167 |
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Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Stream monitoring programs across northern California are watching changes in water temperatures and their impacts on fish habitat. A statistical analysis approach was developed for the interpretation of data sets in order to achieve monitoring objectives. A case study of data collected from the Willow and Lassen Creek watersheds in Modoc County illustrated the application of the method to identifying and quantifying relationships between stream temperatures and habitat factors such as stream flow, canopy, and air temperature. Stream temperatures could be reduced in this location through management practices such as increasing ins-stream flow and increasing canopy cover. |
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ISSN: | 0008-0845 2160-8091 |
DOI: | 10.3733/ca.v059n03p161 |