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Forage analysis is an integral part of modern animal production. Livestock managers require detailed information about the feedstuffs of their herds in order to best achieve production goals, whether they are concerned with economic efficiency, nutrient efficiency or maximum yields. [ 1 ]
Worker bees forage nectar not only for themselves, but for their whole hive community. Optimal foraging theory predicts that this bee will forage in a way that will maximize its hive's net yield of energy. Optimal foraging theory (OFT) is a behavioral ecology model that helps predict how an animal behaves when searching for food. Although ...
Their goal was to quantify and formalize a set of models to test their null hypothesis that animals forage randomly. Important contributions to foraging theory have been made by: Eric Charnov , who developed the marginal value theorem to predict the behavior of foragers using patches;
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Information foraging is a theory that applies the ideas from optimal foraging theory to understand how human users search for information. The theory is based on the assumption that, when searching for information, humans use "built-in" foraging mechanisms that evolved to help our animal ancestors find food.
In ecology, an ideal free distribution (IFD) is a theoretical way in which a population ' s individuals distribute themselves among several patches of resources within their environment, in order to minimize resource competition and maximize fitness.
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