Extreme Value Analysis of a Fish/Temperature Field Database
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Extreme Value Analysis of a Fish/Temperature Field Database
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1994-11
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Report
Abstract
Extreme water temperatures limit the presence of fish species in streams and lakes.
Upper extreme water temperatures and their uncertainties are determined by several
statistical methods from a large field database. There are over 140,000 weekly mean
fish/stream temperature matched pairs in the database. Three different techniques
are employed to estimate upper extreme habitat temperatures of 24 fish species. To
quantify the uncertainty of the estimated extreme temperatures the bootstrap
method, the method of moments and the residual method are applied. The data
above the maximum growth temperature matched well by a type III extremal or a
three-parameter lognormal distribution. Standard error of the estimated extreme
habitat temperatures depends on species and varies from O.lC to 0.6C at the 95% cumulative probability of occurrence.
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364
364
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Environmental Research Laboratory, US Environmental Protection Agency
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Stefan, Heinz G.; Hondzo, Midhat; Eaton, John G.; McCormick, Howard. (1994). Extreme Value Analysis of a Fish/Temperature Field Database. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/109281.
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