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R* rule (ecology)

R* rule (ecology) is a biology 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 R* rule (ecology) rather than just read about it. In short: The R* rule (also called the resource-ratio hypothesis) is a hypothesis in community ecology that attempts to predict which species will become dominant as the result of competition for resources. The hypothesis was formulated by American ecologist David Tilman.

Key takeaways

  • R* rule (ecology) belongs to biology; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect R* rule (ecology) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of R* rule (ecology) from memory before moving on to harder problems.

Reference excerpt

The R* rule (also called the resource-ratio hypothesis) is a hypothesis in community ecology that attempts to predict which species will become dominant as the result of competition for resources. The hypothesis was formulated by American ecologist David Tilman. It predicts that if multiple species are competing for a single limiting resource, then whichever species can survive at the lowest equilibrium resource level (i.e., the R*) can outcompete all other species. If two species are competing for two resources, then coexistence is only possible if each species has a lower R* on one of the resources. For example, two phytoplankton species may be able to coexist if one is more limited by nitrogen, and the other is more limited by phosphorus. A large number of experimental studies have attempted to verify the predictions of the R* rule. Many studies have shown that when multiple plankton are grown together, the species with the lowest R* will dominate, or coexist if they are limited by multiple resources. There are fewer tests of the R* rule in communities of larger organisms, in part because of the difficulty of creating a situation in which only a single resource is limiting. However, some studies have used the R* rule with multiple resources to predict which groups of plants will be able to coexist.

Mathematical derivation Consider a community with multiple species. We will assume that each species competes for a single resource, and ignore the effects of interference or apparent competition. Each population increases by consuming resources, and declines when resources are too scarce. For example, we could model their population dynamics as

d N j d t = N j ( a j R − d ) {\displaystyle {\frac {dN_{j}}{dt}}=N_{j}(a_{j}R-d)}

d R d t = r − R ∑ j a j N j {\displaystyle {\frac {dR}{dt}}=r-R\sum _{j}a_{j}N_{j}}

where Nj is the density of species j, R is the density of the resource, a is the rate at which species j eats the resource, d is species js death rate, and r is the rate at which resources grow when not consumed. It is easy to show that when species j is at equilibrium by itself (i.e., dNj/dt = 0), that the equilibrium resource density, R*j, is

R j ∗ = d / a j . {\displaystyle R_{j}^{*}=d/a_{j}.}

When R > R*j, species j's population will increase; when R is less than R*j, species js population will decline. Because of this, the species with the lowest R* will eventually dominate. Consider the two species case, where R*1 < R*2. When species 2 is at equilibrium, R = R*2, and species 1's population will be increasing. When species 1 is at equilibrium, R = R*1, and species 2's population will be decreasing. This method has been extended to analyze more complex models, such as species with a Type II functional response. Under many additional circumstances, the above result still holds: the species who can survive at the lowest resource levels will be the competitive dominant.

Relation to the CSR triangle theory Understanding the differences between the R* theory and its major alternative the CSR triangle theory is a major goal in community ecology for many years. Unlike the R* theory, the CSR theory predicts that competitive ability is determined by relative growth rate and other size related traits. While some experiments supported the R* predictions, other supported the CSR predictions. The different predictions stem from different assumptions on the size asymmetry of the competition. The R* theory assumes that competition is size symmetric (i.e. resource exploitation is proportional to individual biomass), the CSR theory assumes that competition is size-asymmetric (i.e. large individuals exploit disproportional higher amounts of resources compared with smaller individuals).

References

Worked examples

Example 1 — a first encounter with R* rule (ecology)

Start with the simplest possible case. Write down what R* rule (ecology) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, 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 R* rule (ecology) 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 R* rule (ecology) 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 R* rule (ecology)

In research
R* rule (ecology) appears in biology 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 R* rule (ecology) 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
R* rule (ecology) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Community ecology, Ecological theories, Theoretical ecology, so understanding it makes those chapters shorter.
In everyday life
Look for R* rule (ecology) 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 R* rule (ecology) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what R* rule (ecology) 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 R* rule (ecology) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is R* rule (ecology) in simple terms?

The R* rule (also called the resource-ratio hypothesis) is a hypothesis in community ecology that attempts to predict which species will become dominant as the result of competition for resources. The hypothesis was formulated by American ecologist David Tilman.

Why does R* rule (ecology) matter?

Because it connects several biology 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 R* rule (ecology)?

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 R* rule (ecology).

Tags

  • Community ecology
  • Ecological theories
  • Theoretical ecology

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