Planktivore Prey Selection: The Reactive Field Volume Model vs. the Apparent Size Model

Wetterer, James K.; Bishop, Christopher J.

doi:10.2307/1940394

Cited by 47 publications

(48 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There were no differences in the size frequency of prey selected using RC or AC foraging strategies at all prey densities when reactive distance and visual distance were equal. Wetterer & Bishop (1985) reported similar results while comparing prey selection between the RFVM a n d the ASM. However, for prey distance distribution, a s the prey density increased, the difference between RC and AC increased.…”

Section: Discussionmentioning

confidence: 54%

“…Our results also indicated that when the reactive distance was below the visual distance, there were differences in sizes of prey selected between random and largest A C . Wetterer & Bishop (1985) reported a similar result for brook stickleback Culaea inconstans when reactive distances were not directly proportional to prey length.…”

Section: Discussionmentioning

confidence: 59%

“…Many studies have suggested that apparent zooplankton size and encounter frequency determine prey size selection (Werner & Hall 1974, O'Bnen et al 1976, Eggers 1977, 1982, Gardner 1981, Mittelbach 1981, Pastorok 1981, Butler & Bence 1984, Wetterer & Bishop 1985, Wetterer 1989. Other studies have attempted to measure prey size selection by comparing the size composition of zooplankton in a predator's diet to the size composition of prey in the surrounding water (Baird & Hopkins 1981, Scott & Murdoch 1983, Mikheev 1984, Magnhagen 1985, Main 1985, Grover & Olla 1986, Khadka & Ramakrishna 1986, Schmitt 1986, Collie 1987, Confer et al 1990, Forrester et al 1994.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Virtual reality of planktivores:a fish's perspective of prey size selection

Luo¹,

Sb²,

Mj³

1996

Mar. Ecol. Prog. Ser.

View full text Add to dashboard Cite

Tradit~onally, field studies of size selective predation by visual-feeding planktivorous fish compare the size distribution of prey in stomachs to that of zooplankton measured in the field However, the size frequency of prey perceived by a fish may differ from that measured by researchers using integrative plankton nets. In this study, a mechanistic spatial foraging model was developed to test the hypothesis that size-selective predation by visual-feeding planktivorous fish can arise simply by random encounters with prey. Our model was based on movement of a single predator and a size structured prey population distributed in 3-dimensional space. The model assumed that a predator's encounters with prey was a function of prey size and predatol-swimming speed. Upon encounter, the predator either selected prey by random choice or the largest apparent size. The size frequency and distance distribution of prey encountered, selected, and captured were estimated using Monte Carlo techniques. The model performance was initially evaluated wlth hypothetical prey slze frequencies, and different light attenuation coefficients, capture efflciencies, visual distances and predator swimming speeds. Simulation results showed that the size frequency of prey encountered randomly by a predator is very different from the size frequency of the a i n b~e n t prey In the environment The s l r c frequency of prey selected by random c h o~c c only differed from that selected by appal-ent size choice when visual distance was greater than reactive distance. Prey distance distribution, which was defined as frequency of prey encountered a t different distances, showed that as prey density increased predators sclected prey at closer distances by the largest apparent size choice than by random choice. We also tested the model specifically for the bay anchovy Anchoa mitchilli. Ambient zooplankton size frequencies found in m~d-Chesapeake Bay were used to predict the size frequencies of zooplankton consumed by fish. Predicted prey size frequency in the diet matched the size frequency of zooplankton found in bay anchovy stomachs. We conclude that prey slze selection by fish can be described mechanistically by differentlal random encounter from a flsh's perspective, and that behavioral choice plays a minor role In prey size selection.

show abstract

Section: Discussionmentioning

confidence: 54%

Section: Discussionmentioning

confidence: 59%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Virtual reality of planktivores:a fish's perspective of prey size selection

Luo¹,

Sb²,

Mj³

1996

Mar. Ecol. Prog. Ser.

View full text Add to dashboard Cite

show abstract

“…Wetterer & Bishop 1985, Bence & Murdoch 1986 but no firm conclusion about general processes has yet been reached. It has become clear, however, that selection cannot be described by the RFVM alone.…”

Section: Introductionmentioning

confidence: 99%

Foraging behaviour and prey size spectra of larval herring Clupea harengus

Munk¹

1992

Mar. Ecol. Prog. Ser.

View full text Add to dashboard Cite

When fish increase in size, the size spectrum of ingested prey increases. This observation has led to the impression that the available food resource increases as fish grow. However, it has been proposed that the size spectrum of prey remains the same on a relative scale and, accordingly, that the available biomass of food as a proportion of the predator biomass will not increase. In order to assess the uniformity of relative prey size spectra of herring larvae and their background in larval foraging behaviour, a set of experimental and field investigations has been carried out. In the experiments, 4 size groups of larval herring Clupea harengus L, were studled when preying on 6 slze groups of copepods. Larval swimming and attack behaviour changed with prey size and were related to the ratio between prey length and larval length. The effective search rate showed a maximum when prey length was about 0.027 of larval length. In the field investigations, the relative prey size spectra of 6 size groups of larvae were described. The widths of these spectra were not significantly different and they all attained maxima when the relative length of prey was about 0 028 of larval length. Thus, larval foraging was, to a large extent, determined by the relative size of prey, with s~gnificant selection for the preferred sizes. Results imply that only a restricted part of the potential prey (sizes) is of value in larval foraging and consumption and that coincidence between prey size spectra and peaks in the biomass spectra of the environment is important to larval growth and survival.

show abstract

“…If fish behavioral toxicology is to advance in this manner, toxicologists must make better use of the ecological literature already available on the mechanisms and strategies employed by foraging fishes (e.g., Werner 1974;Vinyard 1980;Gardner 1981;Luecke and 0' Brien 1981;Mittelbach 1981Mittelbach ,1983Bartell 1982;Eggers 1982;O' Brien et al 1976O' Brien et al ,1985O' Brien et al ,1989O' Brien et al ,1990Wetterer and Bishop 1985;Evans and 0' Brien 1988;Wanzenbock and Schiemer 1989;. A clear understanding of normal fish foraging behavior, coupled with more ecologically realistic laboratory experimental designs, will provide the necessary framework within which toxicologists may identify toxicant effects on fish foraging behavior and growth.…”

Section: Introductionmentioning

confidence: 99%

Effects of cadmium on juvenile bluegill (Lepomis macrochirus) foraging behavior and growth

Bryan

View full text Add to dashboard Cite

Planktivore Prey Selection: The Reactive Field Volume Model vs. the Apparent Size Model

Cited by 47 publications

References 9 publications

Virtual reality of planktivores:a fish's perspective of prey size selection

Virtual reality of planktivores:a fish's perspective of prey size selection

Foraging behaviour and prey size spectra of larval herring Clupea harengus

Effects of cadmium on juvenile bluegill (Lepomis macrochirus) foraging behavior and growth

Contact Info

Product

Resources

About