Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 375

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Selective Predation, Optimal Foraging, and the Predator-Prey Interaction Between Fish and Crayfish

Stein, Roy A.·1977·Ecology

Abstract

Through laboratory experimentation, I quantified the behavioral intraction between an inshore fish predator, the smallmouth bass (Micropterus dolomieui) and an active, defensive prey organism, the crayfish (Orconectes propinquus). Experiments, run in aquaria or large wading pools, involved pacing different sizes and life stages of crayfish with smallmouth bass to document selective predation. To determine whether bass, in preying selectively on crayfish maximized net energy intake, a predictive foraging model, in which handling and pursuit times are balanced against prey digestible organic ([Ht + Pt]/O), was developed and tested. Fieldwork, designed to yield electivity indices such that laboratory findings could be confirmed or denied, involved simultaneously sampling inshore fish predators and crayfish from 3 lakes in northern Wisconsin. In laboratory experiments, when offered a choice of crayfish sizes on sand, smallmouth bass (25 cm, total length) chose the smalles crayfish (4 mm, carapace length) first, and then conumsed animals in acending order of size. When offered the same choices on pebble (16—32 mm), intermediate—sized (16—20 mm) crayfish were eaten first. On large substrates, small size classes are relatively less exposed than large size classes. Therefore, the increased search (i.e., waiting) time to obtain these small size classes appears to decrease their value relative to more available intermediate size classes. Both predicted size from (Ht + Pt)/O and selection sequence from the pebble substrate agreed quite closely with field electivity indices, suggesting that bass are optimal foragers. Within any size class of adults, life stages ordered from low to high susceptibility to predation by smallmouth bass were: ovigerous ♀ ♀, Form I (FI, capable of breeding) ♂ ♂, ♀ ♀ ≈ Form II (FII, incapable of breeding) ♂ ♂, and recent molts. Determined empirically via laboratory experimentation, this order was validated by electivity indices from the field and predicted by the (Ht + Pt)/O optimal forging construct. As a result of their differential susceptibility to predators, some sizes and life stages (juveniles, ♀ ♀, and recent molts) appeared to modify thei field microdistribution to minimize risk to predators. In general, crayfish densities on sand were inversely related to relative densities of inshore fishes; degree of behavioral response of individual life stages appeared correlated with vulnerability. Fish predators not only prey selectively on crayfish but also cause shifts in their microdistribution and behavior. In fish—crayfish interactions, sizes and life stages with the greatest vulnerability due to morphological and physiological traits also possessed the most significant behavioral attributes for reducing risk. In general, selection of particular life stages from crayfish populations makes ecological sense; fish—crayfish interactions as predator—prey systems persist. Their persistence results from the subtle interaction between predator and prey, ultimately producing a stable system in which “important” life stages (ovigerous ♀ ♀ or FI ♂ ♂) are more or less exempt from predatory mortality.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2307/1935078

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 25 references

Metadata

Authors
Stein, R. A.
Venue
Ecology
Publisher
Wiley
Published
1977-11
Volume
58
Issue
6
Pages
1237-1253
ISSN
0012-9658 (ISSN-L)
OpenAlex
W2039764706
Cited by
375
References
25
FWCI
2.26
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Selective Predation, Optimal Foraging, and the Predator-Prey Interaction Between Fish and Crayfish. https://app.cochat.ai/papers/10.2307/1935078
The paper
Stein, R. A. (1977). Selective Predation, Optimal Foraging, and the Predator-Prey Interaction Between Fish and Crayfish. Ecology. https://doi.org/10.2307/1935078

Data sources

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.