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Patterns in abundance of fishes in main channels of the upper Mississippi River system

Canadian Journal of Fisheries and Aquatic Sciences

Abstract has subscript/superscript to be fixed
By:
, , , and
DOI: 10.1139/f01-046

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Abstract

Abundance of fishes of the main channels of the upper Mississippi River system and of other large North American rivers is largely unknown because historic sampling methods have been inadequate. We used a bottom trawl to estimate spatial and temporal patterns in abundance in the navigation channels of Pool 26 of the Mississippi River and the lower Illinois River. Total biomass density averaged 21 and 29 kg·ha-1 in the navigation channels of Pool 26 and the lower Illinois River, respectively. We identified spatial and temporal patterns in catches of key species using a generalized linear model based on the negative binomial distribution. Some species, including shovelnose sturgeon (Scaphirhynchus platorynchus), are persistent residents of the main channel. Multiple-season residents, including freshwater drum (Aplodinotus grunniens), rely heavily on the main channel during most of the year but leave it briefly, for example to seek thermal refugia in backwaters during winters. We suggest revision of the prevailing notion that main channels of large temperate rivers serve mainly as corridors for movement among other habitat types.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Patterns in abundance of fishes in main channels of the upper Mississippi River system
Series title:
Canadian Journal of Fisheries and Aquatic Sciences
DOI:
10.1139/f01-046
Volume
58
Issue:
5
Year Published:
2001
Language:
English
Publisher:
NRC Research Press
Publisher location:
Ottawa, Ontario
Contributing office(s):
Upper Midwest Environmental Sciences Center
Description:
10 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Canadian Journal of Fisheries and Aquatic Sciences
First page:
933
Last page:
942
Country:
United States
Other Geospatial:
Mississippi River