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Steven V. Fend

Researcher at United States Geological Survey

Publications -  44
Citations -  802

Steven V. Fend is an academic researcher from United States Geological Survey. The author has contributed to research in topics: Clitellata & Rhynchelmis. The author has an hindex of 13, co-authored 41 publications receiving 758 citations.

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Aquatic insects as bioindicators of trace element contamination in cobble-bottom rivers and streams

TL;DR: Comparisons of contamination at taxomic levels higher than species were complicated by element-specific differences in bioaccumulation among taxa, and differences appeared to be governed by biological and hydrogeochemical factors.
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The relationships among three habitat scales and stream benthic invertebrate community structure

TL;DR: The relationship between three habitat scales and lotic invertebrate species composition was investigated for the 15 540 km2 Yakima River basin in south-central Washington, U.S.A. as discussed by the authors.
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Effects of copper on species composition of benthic insects in a Sierra Nevada, California, stream

TL;DR: In this paper, the effects of copper on species composition and production of benthic insects in an oligotrophic stream dosed at low concentrations (2.5-15 μg 1 1 Cur; approximately 12-75 ng 1-1 Cu2+) were determined.
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Metal exposure in a benthic macroinvertebrate, Hydropsyche californica, related to mine drainage in the Sacramento River.

TL;DR: A biomonitoring technique was employed to complement studies of metal transport in the upper Sacramento River affected by acid mine drainage, indicating that bioavailable Cd, Cu, Pb, and Zn was transported at least 120 km downstream of the mine sources.
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Benthic invertebrate distributions in the San Joaquin River, California, in relation to physical and chemical factors

TL;DR: The invertebrate fauna of nontidal portions of the lower San Joaquin River and its major tributaries is described in relation to water quality and habitat using canonical correspondence analysis, autecological metrics, and indicator species analysis.