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Risk-sensitive foraging models

Risk-sensitive foraging models is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Risk-sensitive foraging models rather than just read about it. In short: Risk-sensitive foraging models help to explain the variance in foraging behaviour in animals. This model allows powerful predictions to be made about expected foraging behaviour for individual groups of animals.

Key takeaways

  • Risk-sensitive foraging models belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Risk-sensitive foraging models to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Risk-sensitive foraging models from memory before moving on to harder problems.

Reference excerpt

Risk-sensitive foraging models help to explain the variance in foraging behaviour in animals. This model allows powerful predictions to be made about expected foraging behaviour for individual groups of animals. Risk sensitive foraging is based on experimental evidence that the net energy budget level of an animal is predictive of type of foraging activity an animal will employ. Experimental evidence has indicated that individuals will change the type of foraging strategy that they use depending on environmental conditions and ability to meet net energy levels. When individuals can meet net energy level requirements by accessing food in risk aversive methods they do so. However, when net energy level requirements are not met by employing risk aversive methods, individuals are more likely to take risk prone actions in order to meet their net energy requirements.

Caraco’s experiment (Juncos) Thomas Caraco and his colleagues in 1980 were amongst the first to study risk sensitive foraging behaviour in yellow-eyed juncos. For the original study seven yellow-eyed juncos were used in a two-part experiment. Part one examined foraging behaviours in five juncos when they were given a choice of eating on a perch where enough seeds were placed every time to meet their 24-hour energy requirements, or on a perch where they would sometimes find an abundance of seeds and sometimes no seeds. All individuals showed a preference to feed at the perch where they could get their daily seed requirement, the risk aversive choice. Part two examined foraging preference in four juncos, on one perch seeds were present every time but not enough to meet their 24-hour energy requirement. On the other perch they could sometimes find an abundance of seeds or no seeds. In this case the juncos showed a preference to feeding at the variable reward perch, choosing the risk prone feeding option. In order to test if individuals would change their strategy as a result of changed environment, two of the juncos from part one were used in part two of the experiment. As expected the juncos from part one who preferred the risk aversive foraging strategy switched to risk prone foraging behaviour in part two of the experiment. Thomas Caraco conducted follow up experiment in 1981 with dark-eyed juncos and used a larger sample size. The results were similar. Dark-eyed juncos prefer risk aversive foraging behaviours when their 24-hour energy budgets can be met. However, when 24hr energy budgets are not met the juncos employ risk prone foraging behavior.

Other examples Risk sensitive foraging has also been found in other animal species. Laboratory rats have also been found to display risk sensitive foraging. Rats prefer to forage at a constant food supply source if they are able to meet their energy requirements. But will employ risk prone foraging behaviour when the constant food supply source does not fulfill their daily energy requirement. The common shrew has also been found to use risk sensitive foraging methods. Choosing to be risk aversive when they are able to constantly meet their energy requirements. But switching over to risk prone foraging and variable reward when their energy requirements are not met regularly.

Possible exceptions Follow-up studies conducted in hummingbirds have found conflicting evidence about risk sensitivity foraging. When the hummingbirds are given three different choices of food supply, risk sensitivity foraging model was not entirely accurate at predicting foraging strategy. When deciding to obtain food from experimentally manipulated flowers containing: low variance, high variance or constant nectar. Hummingbirds were found to prefer nectar from the low variance flower more than any other choice. Researchers suggest that these results may be attributed to the possibility that the hummingbirds were not able to examine the amount of nectar present in each flower visually.

References

Worked examples

Example 1 — a first encounter with Risk-sensitive foraging models

Start with the simplest possible case. Write down what Risk-sensitive foraging models claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Risk-sensitive foraging models before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Risk-sensitive foraging models ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Risk-sensitive foraging models

In research
Risk-sensitive foraging models appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Risk-sensitive foraging models in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Risk-sensitive foraging models is common in secondary-school and first-year university syllabi. It links to neighbouring topics Eating behaviors, Foraging, Risk analysis, so understanding it makes those chapters shorter.
In everyday life
Look for Risk-sensitive foraging models outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Risk-sensitive foraging models in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Risk-sensitive foraging models means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Risk-sensitive foraging models out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Risk-sensitive foraging models in simple terms?

Risk-sensitive foraging models help to explain the variance in foraging behaviour in animals. This model allows powerful predictions to be made about expected foraging behaviour for individual groups of animals.

Why does Risk-sensitive foraging models matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Risk-sensitive foraging models?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Risk-sensitive foraging models.

Tags

  • Eating behaviors
  • Foraging
  • Risk analysis

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