The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
An Analysis of Diet Selection by Large Generalist Herbivores
Abstract
Ecological theory has formulated the objective of feeding strategies as to maximize the capture rate of some nutrient. But large generalist herbivores typically face a limit on how much material they can digest. Thus, their feeding strategy is best considered as aiming to achieve the best nutritional balance within a fixed total bulk of food. The problem of finding the diet which provides the best mix of nutrients can be formulated as a linear program. A property of this "optimization model" is that the contribution of a food to the diet will sometimes vary with the food's content of a particular nutrient and sometimes will not. This might explain why no consistent relations of this kind have been found experimentally. The long-delay learning mechanism is described. If this exists in large generalist herbivores, it would provide a means by which they might pursue optimization of nutrient mix in the diet. It would also account for the very large inter- and intraindividual variability in preference reported. Optimization achieved by this means would be imperfect. First, the necessary sampling of foods would modify the diet in the direction of greater variety than predicted by the linear model. Second, optimization would not act perfectly on all nutrients. If diet selection is dominated by the need to meet nutritional criteria, the response of the diet to availability of particular foods should not be continuous but take the form of a cutoff at very low availability. This implies that as a food becomes rarer in a plant community, grazing pressure on it will increase, at least until the cutoff is reached.
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Citations
Cites
On Optimal Use of a Patchy Environment
MacArthur, R. H., & Pianka, E. R. (1966) · The American Naturalist · doi:10.1086/282454 · Cited by 4,593
Evolution in Changing Environments: Some Theoretical Explorations. (MPB-2)
LEVINS, R. (2020) · Princeton University Press eBooks · doi:10.2307/j.ctvx5wbbh · Cited by 3,383
Experimental Ecology of the Feeding of Fishes
Farris, D. A., Ivlev, V. S., & Scott, D. (1962) · Copeia · doi:10.2307/1439522 · Cited by 1,751
Cabanac, M. (1971) · Science · doi:10.1126/science.173.4002.1103 · Cited by 1,521
The Role of Time and Energy in Food Preference
Emlen, J. M. (1966) · The American Naturalist · doi:10.1086/282455 · Cited by 1,470
Murdoch, W. W. (1969) · Ecological Monographs · doi:10.2307/1942352 · Cited by 1,371
Specific hungers and poison avoidance as adaptive specializations of learning.
Rozin, P., & Kalat, J. W. (1971) · Psychological Review · doi:10.1037/h0031878 · Cited by 1,163
Principles of Operations Research.
Rivett, P., & Wagner, H. M. (1970) · Operational Research Quarterly (1970-1977) · doi:10.2307/3008431 · Cited by 876
The Natural Control of Insects in Pinewoods
Tinbergen, L. (1960) · Archives Néerlandaises de Zoologie · doi:10.1163/036551660x00053 · Cited by 732
Tinbergen, L. (1960) · Cited by 504
Cited by
Optimal Foraging: A Selective Review of Theory and Tests
Pyke, G. H., Pulliam, H. R., & Charnov, E. L. (1977) · The Quarterly Review of Biology · doi:10.1086/409852 · Cited by 3,373
Ecology of a Grazing Ecosystem: The Serengeti
McNaughton, S. J. (1985) · Ecological Monographs · doi:10.2307/1942578 · Cited by 1,367
Diet optimization in a generalist herbivore: The moose
Belovsky, G. E. (1978) · Theoretical Population Biology · doi:10.1016/0040-5809(78)90007-2 · Cited by 639
Milton, K. (1979) · The American Naturalist · doi:10.1086/283485 · Cited by 537
MILTON, K. (1981) · American Anthropologist · doi:10.1525/aa.1981.83.3.02a00020 · Cited by 501
Selection of Winter Forage by Subarctic Browsing Vertebrates: The Role of Plant Chemistry
Bryant, J. P., & Kuropat, P. J. (1980) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.11.110180.001401 · Cited by 473
What Should a Clever Ungulate Eat?
Owen-Smith, N., & Novellie, P. (1982) · The American Naturalist · doi:10.1086/283902 · Cited by 422
Modeling Animal Guts as Chemical Reactors
Penry, D. L., & Jumars, P. A. (1987) · The American Naturalist · doi:10.1086/284623 · Cited by 388
CONNECTING THEORETICAL AND EMPIRICAL STUDIES OF TRAIT-MEDIATED INTERACTIONS
Bolker, B., Holyoak, M., Křivan, V., Rowe, L., & Schmitz, O. (2003) · Ecology · doi:10.1890/0012-9658(2003)084[1101:ctaeso]2.0.co;2 · Cited by 377
Selective Predation, Optimal Foraging, and the Predator-Prey Interaction Between Fish and Crayfish
Stein, R. A. (1977) · Ecology · doi:10.2307/1935078 · Cited by 375
Leighton, M. (1993) · International Journal of Primatology · doi:10.1007/bf02192635 · Cited by 342
Determinants of Plant-Animal Coevolution: The Case of Mutualistic Dispersal of Seeds by Vertebrates
Herrera, C. M. (1985) · Oikos · doi:10.2307/3544054 · Cited by 337
Food selection by black colobus monkeys (Colobus satanas) in relation to plant chemistry*
McKEY, D. B., GARTLAN, J. S., WATERMAN, P. G., & CHOO, G. M. (1981) · Biological Journal of the Linnean Society · doi:10.1111/j.1095-8312.1981.tb01646.x · Cited by 329
Compensation by locusts for changes in dietary nutrients: behavioural mechanisms
SIMPSON, S. J., & ABISGOLD, J. D. (1985) · Physiological Entomology · doi:10.1111/j.1365-3032.1985.tb00066.x · Cited by 294
Herbivore Optimal Foraging: A Comparative Test of Three Models
Belovsky, G. E. (1984) · The American Naturalist · doi:10.1086/284254 · Cited by 288
Field Metabolic Rate, Water Flux, and Food Consumption in Three-Toed Sloths (Bradypus variegatus)
Nagy, K. A., & Montgomery, G. G. (1980) · Journal of Mammalogy · doi:10.2307/1379840 · Cited by 92
African elephants use plant odours to make foraging decisions across multiple spatial scales
Schmitt, M. H., Shuttleworth, A., Ward, D., & Shrader, A. M. (2018) · Animal Behaviour · doi:10.1016/j.anbehav.2018.04.016 · Cited by 67
Winter Foraging Behavior of Elk in the Shrub-Steppe of Washington
McCorquodale, S. M. (1993) · The Journal of Wildlife Management · doi:10.2307/3809093 · Cited by 28
Dhami, B., Bhusal, A., Neupane, B., Kc, N., Lamichhane, S., Bhattarai, D., & Shrestha, B. (2023) · Global Ecology and Conservation · doi:10.1016/j.gecco.2023.e02648 · Cited by 11
Metadata
- Authors
- Westoby, M.
- Venue
- The American Naturalist
- Publisher
- University of Chicago Press
- Published
- 1974-05
- Volume
- 108
- Issue
- 961
- Pages
- 290-304
- ISSN
- 0003-0147 (ISSN-L)
- 1537-5323
- OpenAlex
- W2069669017
- Cited by
- 554
- References
- 16
- FWCI
- 8.95
- Type
- journal article
- Language
- en
- Open access
- closed
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