Literature DB >> 28309475

Foraging in a patchy environment by a predatory net-spinning caddis larva: A test of optimal foraging theory.

Colin R Townsend1, Alan G Hildrew2.   

Abstract

The predatory larvae of the caddis Plectrocnemia conspersa (Curtis) cause significant prey depletion in a habitat in which prey are patchily distributed. Optimal foraging theory predicts that under these circumstances a predator should stay in any given patch until the prey capture rate there drops to a value equal to the average for the habitat as a whole. This was tested using a combination of field and laboratory data and the results were in broad agreement with the prediction. A second prediction is that the marginal capture rate should be higher in a habitat richer in prey and this was not supported. It is argued that by using a simple rule-of-thumb (constant giving-up-time) P. conspersa is able to approach the optimal solution for much of the time.

Entities:  

Year:  1980        PMID: 28309475     DOI: 10.1007/BF00346824

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  1 in total

1.  Optimal foraging, the marginal value theorem.

Authors:  E L Charnov
Journal:  Theor Popul Biol       Date:  1976-04       Impact factor: 1.570

  1 in total
  3 in total

1.  Food consumption and diet composition of the web-building spider Agelena limbata in two habitats.

Authors:  Koichi Tanaka
Journal:  Oecologia       Date:  1991-03       Impact factor: 3.225

2.  Trust your gut: using physiological states as a source of information is almost as effective as optimal Bayesian learning.

Authors:  Andrew D Higginson; Tim W Fawcett; Alasdair I Houston; John M McNamara
Journal:  Proc Biol Sci       Date:  2018-01-31       Impact factor: 5.349

3.  Effect of ENSO events on larval and juvenile duration and transport of Japanese eel (Anguilla japonica).

Authors:  Kuan-Mei Hsiung; Shingo Kimura; Yu-San Han; Aigo Takeshige; Yoshiyuki Iizuka
Journal:  PLoS One       Date:  2018-04-10       Impact factor: 3.240

  3 in total

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