Optimal foraging theory can make predictions about an animal’s food choice. Which of the following is the most accurate statement about optimal diet breadth as resource quality, handling time and distribution changes?As handling time increases, animals should specializeAs the distance between resources increases, animals should generalizeAs the energy content of the resources increases, animals should generalizeAs the distance between patches increases, animals should stay longer in a patchThe following diagrams show four distribution patterns of resources. Each circle represents one unit of a resource, say, a food item. For which of these distributions would the Marginal Value Theorem be useful for making predictions about optimal foraging behavior. (Shown in image) ABD

According to optimal foraging theory the production for animal's food choice depends on the…

Answered: Optimal foraging theory can make…

Medical Terminology for Health Professions, Spiral bound Version (MindTap Course List)

8th Edition

ISBN:9781305634350

Author:Ann Ehrlich, Carol L. Schroeder, Laura Ehrlich, Katrina A. Schroeder

Publisher:Ann Ehrlich, Carol L. Schroeder, Laura Ehrlich, Katrina A. Schroeder

Chapter8: The Digestive System

Section: Chapter Questions

Problem 45LE

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Optimal foraging theory can make predictions about an animal’s food choice. Which of the following is the most accurate statement about optimal diet breadth as resource quality, handling time and distribution changes?

As handling time increases, animals should specialize
As the distance between resources increases, animals should generalize
As the energy content of the resources increases, animals should generalize
As the distance between patches increases, animals should stay longer in a patch

The following diagrams show four distribution patterns of resources. Each circle represents one unit of a resource, say, a food item. For which of these distributions would the Marginal Value Theorem be useful for making predictions about optimal foraging behavior. (Shown in image)

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