Foraging and Flocking Strategies: Information in an Uncertain Environment

In this paper we have investigated the effects of uncertainty and information on the foraging strategies of animals. We first argue that group foraging, or flocking, can increase individual feeding rates as a result of the sharing of information among group members. Also, members of a foraging group may experience reduced variation in their feeding rates. Both of these advantages increase with the scarcity and patchiness of the food supply. On the other hand, our analysis also suggests that the informational advantages of flocking may tend to be dissipated by "overflocking," which is in fact an evolutionarily stable strategy. (Possible defense strategies against overflocking, such as territoriality or aggression, have not been considered here. We also discuss the strategy of individual foragers. We suggest that the traditional analysis in terms of marginal values, residence times, and giving-up times, may be misleading. It turns out to be important to "probe," especially in patches where food abundance is highly variable. The marginal value theorem fails completely to reflect this aspect of uncertainty and information.

[1]  William Feller,et al.  An Introduction to Probability Theory and Its Applications , 1967 .

[2]  G. Hardin,et al.  The Tragedy of the Commons , 1968, Green Planet Blues.

[3]  M. Degroot Optimal Statistical Decisions , 1970 .

[4]  M. Cody Finch flocks in the Mohave desert. , 1971, Theoretical population biology.

[5]  J. M. Smith The theory of games and the evolution of animal conflicts. , 1974, Journal of theoretical biology.

[6]  T. Caraco,et al.  Ecological Determinants of Group Sizes of Foraging Lions , 1975, The American Naturalist.

[7]  E. Charnov Optimal foraging, the marginal value theorem. , 1976, Theoretical population biology.

[8]  Graham H. Pyke,et al.  Optimal Foraging: A Selective Review of Theory and Tests , 1977, The Quarterly Review of Biology.

[9]  A. Oaten,et al.  Optimal foraging in patches: a case for stochasticity. , 1977, Theoretical population biology.

[10]  J. Krebs,et al.  Behavioural Ecology: An Evolutionary Approach , 1978 .

[11]  Richard F. Green,et al.  Bayesian birds: A simple example of Oaten's stochastic model of optimal foraging , 1980 .

[12]  Y. Iwasa,et al.  Prey Distribution as a Factor Determining the Choice of Optimal Foraging Strategy , 1981, The American Naturalist.

[13]  Thomas Caraco,et al.  Risk‐Sensitivity and Foraging Groups , 1981 .

[14]  Marc Mangel,et al.  Search effort and catch rates in fisheries , 1982 .

[15]  Thomas Caraco,et al.  The scanning behavior of juncos: A game-theoretical approach , 1982 .

[16]  James N. McNair,et al.  Optimal Giving-Up Times and the Marginal Value Theorem , 1982, The American Naturalist.

[17]  C. Clark,et al.  Uncertainty, search, and information in fisheries , 1983 .

[18]  C. Clark The Effect of Fishermen's Quotas on Expected Catch Rates , 1985, Marine Resource Economics.