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Cited by 1,333

The DOI matches its Crossref record.

Methods in Stream Ecology.

Wipfli, Mark S., Hauer, F. Richard, Lamberti, Gary A.·1997·Ecology

Abstract

Methods in Stream Ecology provides a complete series of field and laboratory protocols in stream ecology that are ideal for teaching or conducting research. This new edition is updated to reflect recent advances in the technology associated with ecological assessment of streams, including remote sensing. In addition, the relationship between stream flow and alluviation has been added, and a new chapter on riparian zones is also included.With a student-friendly price, this Second Edition is a key for all students and researchers in stream and freshwater ecology, freshwater biology, marine ecology, and river ecology. This text is also supportive as a supplementary text for courses in watershed ecology/science, hydrology, fluvial geomorphology, and landscape ecology. It includes: exercises in each chapter; detailed instructions, illustrations, formulae, and data sheets for in-field research for students; taxanomic keys to common stream invertebrates and algae; website with tables; and, link from chapter 22: Fish Community Composition to an interactive program for assessing and modeling fish numbers.

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Metadata

Authors
Wipfli, M. S., Hauer, F. R., & Lamberti, G. A.
Venue
Ecology
Publisher
Wiley
Published
1997-04
Volume
78
Issue
3
Pages
960
ISSN
0012-9658 (ISSN-L)
OpenAlex
W2012557360
Cited by
1,333
References
0
FWCI
22.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Methods in Stream Ecology. https://app.cochat.ai/papers/10.2307/2266075
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Wipfli, M. S., Hauer, F. R., & Lamberti, G. A. (1997). Methods in Stream Ecology. Ecology. https://doi.org/10.2307/2266075

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.