Extreme value analysis of a fish/temperature field database
| Autor: | J. Howard McCormick, John G. Eaton, Midhat Hondzo, Heinz G. Stefan |
|---|---|
| Rok vydání: | 1995 |
| Předmět: |
Environmental Engineering
Database Cumulative distribution function STREAMS Management Monitoring Policy and Law Method of moments (statistics) computer.software_genre Standard error Habitat Log-normal distribution Environmental science Limit (mathematics) Extreme value theory computer Nature and Landscape Conservation |
| Zdroj: | Ecological Engineering. 4:289-305 |
| ISSN: | 0925-8574 |
| DOI: | 10.1016/0925-8574(95)92708-r |
| Popis: | Extremes of water temperatures limit the presence of various fishes 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 extremes of habitat temperatures for 12 fish species. To quantify the uncertainty of the estimated extremes the bootstrap method, the method of moments and the residual method are applied. The data above the maximum growth temperature are 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 0.1°C to 0.6°C at the 95% cumulative probability of occurrence. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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