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3.8.4Additional lessons

Limiting Population Size: Examples — IB Biology HL Revision Notes & Topical Questions

5 min read 5 parts Lesson 13 of 101

📚 IB Biology HL Hub / Topical Revision
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Part 1 of 5Predator and Prey

3.8.4 Limiting Population Size: Examples

Predation is a density-dependent factor, and predator and prey numbers often fluctuate together.

Snowshoe hare and lynx
  • Records from fur trapping show a roughly ten-year cycle in which the numbers of hares and lynx rise and fall, with the lynx peaks following the hare peaks.
Why the cycle occurs
  • When hares are abundant, lynx have plenty of food and increase, which then increases predation until hares decline.
Predator crash
  • As hares become scarce, many lynx starve, predation falls and the hare population begins to recover.
Other influences
  • Food supply for the hares and other predators also affect the cycle, so predation is not the only factor.

Part 2 of 5Food, Space and Disease

Food, Space and Disease
Food supply
  • In winter the amount of food falls, so the population of many herbivores shrinks until food becomes plentiful again.
Territory
  • Birds and mammals defend areas containing food and nest sites, so only a limited number of breeding pairs can occupy a habitat.
Disease
  • Myxomatosis spread through European rabbit populations and killed a high proportion of them, especially where animals lived close together.
Parasites
  • Heavy parasite loads in crowded populations reduce growth and breeding success.

Part 3 of 5Abiotic Limits

1
Temperature, rainfall and sunlight set the range of conditions in which a species can survive and breed.
2
A harsh winter, flood or drought can kill many individuals regardless of the size of the population.
3
Populations recover afterwards at a rate that depends on how quickly the survivors can reproduce.
4
Over many years the population fluctuates around the carrying capacity set by long-term conditions.
ExampleLimiting factorType
Lynx numbersAvailability of hares as preyDensity-dependent
Rabbits and myxomatosisDiseaseDensity-dependent
Insects in a hard winterCold temperatureDensity-independent
Territorial birdsSpace and nest sitesDensity-dependent

Part 4 of 5Interpreting Population Data

Lag between peaks
  • If the peak in predators comes after the peak in prey, this supports the idea that prey abundance drives predator numbers.
Correlation
  • Two graphs that rise and fall together do not by themselves prove that one factor causes the other.
Data source
  • Long-term records, such as fur-trading data, are valuable but may be affected by trapping effort.
Several factors
  • Real populations are limited by more than one factor at once, so explanations should refer to all that apply.

Part 5 of 5Exam Checklist & Tips

3.8.4 – Key Points for the Exam

  • Predation One organism killing and eating another.
  • Territory An area defended by an animal for food or breeding.
  • Fluctuation A rise and fall in population size over time.
  • Parasite An organism living on or in a host and harming it.
  • Abiotic factor A non-living influence such as temperature or rainfall.

Common Mistakes

  • Saying the predator population controls the prey with no feedback, when each limits the other.
  • Quoting the hare and lynx cycle without noting that the predator peak lags behind the prey peak.
  • Treating disease as density-independent, although it spreads more quickly in dense populations.
  • Assuming that populations remain constant, when most fluctuate around the carrying capacity.

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