Flow characteristics of Michigan streams

Knutilla, R.L.

doi:10.3133/ofr67135

Cited by 2 publications

(3 citation statements)

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“…Between 28-30 April, 1981, I collected eight samples from the Pigeon River, a coldwater trout stream with unusually constant discharge (Knutilla 1967). This tested the possibility that low densities in larger warmwater streams were due to lethal summer temperatures or qualitative changes in predator composition.…”

Section: Methodsmentioning

confidence: 99%

“…However, individual growth rates are higher even among juveniles, and adults have greater fecundities. Growth rate may increase with temperature until near the thermal lethal limit if rations and oxygen levels are high (Brett et al 1969, McCormick et al 1972, but the upper sections of the Pigeon River where I sampled do not appear to reach lethal temperatures for C. cognatus (Knutilla 1967, Otto & Rice 1977. Moreover, in the warm streams juveniles continue to feed and grow during late summer temperature maxima.…”

Section: Growthmentioning

confidence: 99%

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The structure of sculpin populations along a stream size gradient

Anderson

1985

Environ Biol Fish

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SynopsisData on spatial variation of sculpin density, growth and fecundity support the hypothesis that populations of stream fish are structured by changes in risk of predation and prey availability along a gradient in stream size. Cot&s bairdi in warm streams and C. cognate in cold streams exhibit similar patterns. Sculpins in large streams have faster individual growth rates and higher fecundities than those in small streams, but occur at lower density. The patterns appear to be persistent and suggest that predation reduces sculpin density in larger streams. Competitive release, variations in prey productivity, and local factors probably contribute to the variation in sculpin growth.

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Section: Methodsmentioning

confidence: 99%

Section: Growthmentioning

confidence: 99%

The structure of sculpin populations along a stream size gradient

Anderson

1985

Environ Biol Fish

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“…The regression model is applicable to Michigan streams where index flows are not significantly affected by existing water withdrawals, diversions, or augmentations. Knutilla (1967) and Holtschlag and Croskey (1984) developed statistical models for predicting a variety of low-, average-, and peak-flow characteristics for Michigan streams. Neff and others (2005) developed multiple regression equations for predicting base flow throughout the Great Lakes.…”

Section: Purpose and Scopementioning

confidence: 99%