Name: patch use in optimal foraging
Uploaded: 2019-01-29T11:04:46.000Z
Duration: 3 min 37 s
Channel: JoVE

K12 Standards

Next Generation Science Standards

High School

Life Science

heredity-inheritance-and-variation-of-traits

Heredity: Inheritance and Variation of Traits

HS-LS4-2

Optimal Foraging

Often in life, the things an individual needs may not be within immediate grasp. So, organisms need to forage. Foraging is defined simply as the process of searching for food or more generally resources. Although food is probably the first example that comes to mind, organisms must forage for other resources like shelter or mates and animals often go to great lengths to get what they need. However, the act of foraging itself requires energy. Essentially, individuals must balance burning calories with obtaining them. To put it simply, foraging requires a strategy. Ecologists created the optimal foraging theory to model the circumstances in which an organism meets the optimum balance between energy expended foraging, i.e., two acorn&#39;s worth and the potential energy it can acquire like six new acorns. 
One characteristic of foraging is that resources are not always spread out evenly within a habitat. More typically, resources are contained in patches that foragers must move between. So how exactly should foragers navigate these patches of resources? In 1976, evolutionary ecologist Eric L. Charnov came up with the marginal value theorem or MVT to explain how organisms optimize their foraging. The MVT has five main predictions for optimal foraging. First, it states that foragers should capture more prey in patches with high prey density than in low prey density patches. Second, the theory predicts that foragers should spend more time hunting for resources in high prey density patches. Next, the forager should have a higher prey capture rate in dense environments with patches that are closely packed together than in sparse environments with patches that are spread further apart. The fourth prediction states that foragers will spend more time foraging in these dense environments than in sparse environments. Finally, a forager should leave a patch when the capture rate has declined to the average rate of all patches. And this is where a concept called giving up time or GUT comes in. To calculate the GUT simply subtract the time that the final prey item was acquired from the time that the individual leaves the patch. Therefore, the GUT should be the same for all of the patches a forager visits. 
In this laboratory, you will complete foraging simulations in several different artificial resources patches and then perform calculations to gauge how your class performed as foragers and whether you adhered to the rules of the marginal value theorem.

optimal foraging

<h4>Optimal Foraging</h4>
Organisms must acquire and use resources in their environment to survive. While food is one of the primary resources organisms must search for, individuals also need to seek habitats, shelter, and mates. This process of searching for resources is known as foraging, which involves a series of costs and benefits. More specifically, acquiring a resource provides the organism with a benefit, however, searching and capturing the resource requires expenditure of time and energy. Thus, organisms adopt foraging strategies that maximize the net gain to an optimal level by providing the most benefit for the lowest cost. Ecologists developed the &#8220;Optimal Foraging Theory&#8221; to model the situations under which an organism meets the optimum balance between foraging costs and benefits.
<h4>The Marginal Value Theorem</h4>
Resources are not uniformly distributed in the environment. For instance, in a forest ecosystem, it is much more likely to find species of trees clumped together rather than evenly distributed throughout the forest. This heterogeneity in resource availability creates &#8220;patches&#8221; of resources. Therefore, foragers must consider both the payoff of a patch as well as the distance between patches, thus the cost of moving to another patch. The Marginal Value Theorem (MVT) describes how optimal foragers utilize and move between patches of resources in their habitat 1. There are five main predictions of the MVT: 
<ol class="references">
	<li>Foragers should capture more prey in patches of high prey density than patches of low prey density.</li>
	<li>Foragers should spend more time foraging in patches of high prey density than in those with low prey density.</li>
	<li>Foragers should have a higher prey capture rate in dense patches than those that are spread farther apart.</li>
	<li>Foragers should spend more time foraging in dense environments, where patches are clustered, than in sparse environments.</li>
	<li>Foragers should leave a patch when the capture rate has declined to the average rate of all the patches.</li>
</ol>
The interval of time between when the last prey is captured and when the forager leaves the patch is known as the Giving-Up-Time, or GUT. In the context of the MVT, the GUT should be the same in all patches for each individual forager. This was tested in an experiment with black-capped chickadees in a large aviary foraging for mealworm hidden in artificial pine cones, where the birds had the same GUT for all types of patches, which was inversely related to the average capture rate for the entire environment 2. 
The longer an organism spends foraging, the more energy it spends, and the longer it exposes itself to predators and the elements, therefore developing an optimal foraging strategy for resource-acquisition is essential for most organisms. The principles of the MVT has many real-life applications to promoting diversity, conservation, and even human behavior.
<h4>Optimal Foraging in a Changing Environment</h4>
From the point of diversity and conservation, the MVT would predict that species can only exist if there are patches to adequately serve an organism&#8217;s energy needs, thus the availability and the distance between resources is important for organisms that depend on them for survival. Habitat loss, pollution, and other changes in the environment can interfere with an organism&#8217;s ability to forage optimally, therefore reducing its fitness. Thus, when habitats in an ecosystem are destroyed, patches or entire communities are removed. This removal limits the resources available to inhabitants of the rest of an ecosystem. Fewer patches with resources creates more intense competition and can eliminate certain species. This is particularly important for species under threat of extinction due to habitat loss who will be unable to meet their foraging needs if most of their habitat is destroyed. 
Humans have developed sophisticated food storage to limit foraging needs, however there are many other instances in which foraging is necessary, such as searching for affordable housing, a well-paying job, or finding a suitable date among others. A recent study tested the predictions of the MVT using General Practitioners&#8217; information-seeking abilities. They found that general practitioners optimally foraged for information when diagnosing a patient; they moved between multiple information sources quickly, and utilized both high-density sources, such as the internet, and easily-attainable sources, including their colleagues frequently 3. Similarly, Optimal Foraging Theory also applies to economics in how consumers shop, or &#8220;forage&#8221; for products and information when making a purchase 4. These studies demonstrate how humans adhere to the predictions of optimal foraging theory in a variety of contexts.
<h4>References</h4>
<ol>
	<li>Charnov, E. L. ptimal foraging: the marginal value theorem. Theoretical Population Biology. 1976, Vol. 9, (129-36).</li>
	<li>John Krebs, John Ryan, Eric Charnov. Hunting by expectation or optimal foraging: A study of patch use by chickadees. Animal Behaviour. 1974, Vol. 22, (953-64).</li>
	<li>Mai Dwairy, Anthony C Dowell, Jean-Claude Stahl. The application of foraging theory to the information searching behaviour of general practitioners. BMC Family Practice. 2011, Vol. 12, 90.</li>
	<li>Wells, V.K. Foraging: an ecology model of consumer behaviour? Marketing Theory. 2012, Vol. 2, 12 (117-136).</li>
</ol>

Optimal Foraging
Organisms must acquire and use resources in their environment to survive. While food is one of the primary resources organisms must ...

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patch use in optimal foraging

Patch use in optimal foraging explains how organisms balance food gain against the time and energy needed to search for it. Foraging is not limited to food. Animals also search for habitats, shelter, and mates. Each choice has costs and benefits. A resource provides a benefit, but finding and capturing it takes effort. Optimal Foraging Theory models how organisms reach the best balance between those costs and gains.

A key idea in this theory is that resources are often clumped into patches rather than spread evenly through an environment. Forest trees, for example, are more likely to occur in groups than as single, evenly spaced trees. Because of this patchiness, foragers must think about both the value of a patch and the distance to the next one. Moving between patches also has a cost. The Marginal Value Theorem helps explain when an organism should keep feeding in a patch and when it should move on.

The Marginal Value Theorem predicts that foragers should capture more prey in dense patches than in sparse ones. They should also spend more time in patches with more prey, and they should have a higher prey capture rate there. In dense environments, where patches are closer together, foragers should spend more time foraging than in sparse environments. A forager should leave a patch when the capture rate falls to the average rate for the whole environment. The time between the last prey capture and leaving the patch is called the Giving-Up-Time, or GUT.

The GUT should be the same across patches for a single forager. This prediction was tested with black-capped chickadees in a large aviary. The birds searched for mealworms hidden in artificial pine cones. They showed the same GUT in all patch types, and that GUT was inversely related to the average capture rate in the environment. The result supported the Marginal Value Theorem.

Optimal foraging matters because searching takes time, uses energy, and can expose organisms to predators and the elements. It also helps explain real-world ecology and conservation. Habitat loss, pollution, and other environmental changes can disrupt foraging and lower fitness. If habitats are destroyed, patches and even whole communities may disappear. That reduces the resources available to the rest of the ecosystem and can increase competition. Species at risk of extinction may be especially affected if most of their habitat is lost.

The same ideas also apply to human behavior. Humans reduce foraging needs through food storage, but they still forage in other ways. People may search for affordable housing, a well-paying job, or a suitable date. A study of general practitioners found that they foraged for information while diagnosing patients. They moved quickly between sources and used both high-density sources, such as the internet, and easier sources, including colleagues. Optimal Foraging Theory also helps explain how consumers search for products and information when making purchases.

Patch Use in Optimal Foraging

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Patch use in optimal foraging explains how organisms balance food gain against the time and energy needed to search for it. Foraging is not limited to food. Animals also search for habitats, shelter, and mates. Each choice has costs and benefits. A resource provides a benefit, but finding and capturing it takes effort. Optimal Foraging Theory models how organisms reach the best balance between those costs and gains. A key idea in this theory is that resources are often clumped into patches...

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Learn how optimal foraging theory explains patch use, Giving-Up-Time, and the Marginal Value Theorem using chickadees, conservation, and human examples.

Patch Use in Optimal Foraging | JoVE K12

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New York State Science Learning Standards

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Set up a high school foraging habitat patches activity with rice-filled buckets, pinto beans, and student roles to compare prey density and foraging behavior.

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Explore a classroom foraging simulation with pinto beans, rice buckets, capture rate, giving-up time, scaled GUT, and Marginal Value Theorem graphs.

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HS-LS3-2

Patch Use in Optimal Foraging

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