Extreme value analysis of a fish/temperature field database

John G. Eaton; J. Howard McCormick; Heinz G. Stefan; Midhat Hondzo

doi:10.1016/0925-8574(95)92708-R

Extreme value analysis of a fish/temperature field database

John G. Eaton
, J. Howard McCormick
, Heinz G. Stefan
, Midhat Hondzo

Civil, Environmental, and Geo- Engineering

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	289-305
Number of pages	17
Journal	Ecological Engineering
Volume	4
Issue number	4
DOIs	https://doi.org/10.1016/0925-8574(95)92708-R
State	Published - Jun 1995

Bibliographical note

Funding Information:
We are grateful to the U.S. Environmental Protection Agency, Office of Program Planning and Evaluation, Washington, D.C., and Environmental Research Laboratory-Duluth, Minnesota, for support of this study. B.E. Goodno, D.G. O'Brien, and K.E.F. Hokanson provided lake and fish/temperature data bases, without which this work could not have been done.

Keywords

Fish
Fish growth
Temperature statistics
Temperature tolerance
Water temperatures

Publisher link

10.1016/0925-8574(95)92708-R

Find It

Find It at U of M Libraries

Cite this

@article{c4994772e7814988a6e3e3c605a3bef6,

title = "Extreme value analysis of a fish/temperature field database",

abstract = "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.",

keywords = "Fish, Fish growth, Temperature statistics, Temperature tolerance, Water temperatures",

author = "Eaton, \{John G.\} and McCormick, \{J. Howard\} and Stefan, \{Heinz G.\} and Midhat Hondzo",

note = "Funding Information: We are grateful to the U.S. Environmental Protection Agency, Office of Program Planning and Evaluation, Washington, D.C., and Environmental Research Laboratory-Duluth, Minnesota, for support of this study. B.E. Goodno, D.G. O'Brien, and K.E.F. Hokanson provided lake and fish/temperature data bases, without which this work could not have been done.",

year = "1995",

month = jun,

doi = "10.1016/0925-8574(95)92708-R",

language = "English (US)",

volume = "4",

pages = "289--305",

journal = "Ecological Engineering",

issn = "0925-8574",

publisher = "Elsevier B.V.",

number = "4",

}

TY - JOUR

T1 - Extreme value analysis of a fish/temperature field database

AU - Eaton, John G.

AU - McCormick, J. Howard

AU - Stefan, Heinz G.

AU - Hondzo, Midhat

N1 - Funding Information: We are grateful to the U.S. Environmental Protection Agency, Office of Program Planning and Evaluation, Washington, D.C., and Environmental Research Laboratory-Duluth, Minnesota, for support of this study. B.E. Goodno, D.G. O'Brien, and K.E.F. Hokanson provided lake and fish/temperature data bases, without which this work could not have been done.

PY - 1995/6

Y1 - 1995/6

N2 - 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.

AB - 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.

KW - Fish

KW - Fish growth

KW - Temperature statistics

KW - Temperature tolerance

KW - Water temperatures

UR - https://www.scopus.com/pages/publications/0028982019

UR - https://www.scopus.com/pages/publications/0028982019#tab=citedBy

U2 - 10.1016/0925-8574(95)92708-R

DO - 10.1016/0925-8574(95)92708-R

M3 - Article

AN - SCOPUS:0028982019

SN - 0925-8574

VL - 4

SP - 289

EP - 305

JO - Ecological Engineering

JF - Ecological Engineering

IS - 4

ER -

Extreme value analysis of a fish/temperature field database

Abstract

Bibliographical note

Keywords

Publisher link

Find It

Other files and links

Fingerprint

Cite this