What the Cell
C4.1

Populations and communities

5 hours18 statementsTextbook pp. 548–577

Guiding questions

  1. How do interactions between organisms control population sizes in a community?
  2. What links in a community make its populations depend on one another?

Slides

Slide 1 of 29

Notes

Written for this site from the class slides, with textbook page references for each statement. The chapter is on pages 548–577 of the course textbook. Image credits are on slide 29.

Populations and sampling

C4.1.1

Populations

p. 548

A population is a group of organisms of the same species living in the same area at the same time. Its members normally interbreed. One population is separated from another of the same species by reproductive isolation, for example by distance or a barrier.

C4.1.2

Why we sample

pp. 549–550

Counting every individual is usually impossible, so we count a sample and scale up to an estimate. The sample must be random, so that every part of the area has an equal chance of being sampled and the result is not biased.

C4.1.3

Random quadrats

pp. 550–551

For sessile organisms, place quadrats at random coordinates, count the individuals in each and find the mean. Population size = mean per quadrat × total area ÷ area of one quadrat. The standard deviation of the counts shows how much they vary, and so how evenly the organism is spread.

C4.1.4

Capture-mark-release-recapture

pp. 555–556

For motile organisms, capture and mark a sample (M), release them, then capture a second sample (N) and count the marked ones (R). The Lincoln index gives population size = (M × N) ÷ R. It assumes that marks are not lost, marked animals mix fully, and there are no births, deaths or migration between samples.

Population growth

C4.1.5

Carrying capacity

p. 557

The carrying capacity is the maximum population size that an environment can support. It is set by limited resources, such as food, water, territory and nesting sites for animals, and light, water and minerals for plants.

C4.1.6

Density-dependent control

pp. 557–558

Competition, predation and the spread of pathogens and pests all increase as a population becomes denser. Above the carrying capacity they raise deaths and reduce births, and below it they relax. This negative feedback keeps the population near the carrying capacity. Density-independent factors, such as floods or fires, can change numbers suddenly but do not do this.

C4.1.7

The sigmoid growth curve

pp. 558–561
Slide: a sigmoid curve with exponential, transition and plateau phases

In the exponential phase, resources are plentiful and limiting factors are weak. In the transition phase, density-dependent factors increase and growth slows. At the plateau, births and deaths balance at the carrying capacity. The return of the bearded vulture to the Swiss Alps is a growing population.

Watch out: a lag phase is not expected as part of this curve.

C4.1.8

Modelling growth with duckweed

p. 562

Count the fronds of duckweed (Lemna) in a container every day or two until the surface is covered. Plot the counts on a log scale against time on a normal scale: exponential growth gives a straight line, and the line curves away as growth slows.

Communities and relationships

C4.1.9

Communities

pp. 562–563

A community is all the interacting populations in an area, including plants, animals, fungi and bacteria. A community and its abiotic environment form an ecosystem.

C4.1.10

Competition and cooperation within a species

pp. 563–564

Members of a species have the same needs, so they compete for food, light, territory and mates, as when wildebeest males fight over territory. They also cooperate: hyenas hunt in groups, and leafcutter ant workers gather leaves to grow the fungus that feeds the colony.

C4.1.11

Relationships between species

pp. 564–565

Herbivory (bison and grass), predation (lynx and hare), interspecific competition (lions and leopards), mutualism (Rhizobium and clover), parasitism (ticks and deer) and pathogenicity (chytrid fungus in the evergreen robber frog).

C4.1.12

Mutualism

pp. 566–568

In legume root nodules, Rhizobium fixes nitrogen for the plant and receives sugars. Orchid seeds have no food store, so mycorrhizal fungi supply them with sugars and minerals; adult orchids later supply carbon compounds. In hard corals, zooxanthellae supply products of photosynthesis and receive shelter in sunlit water, carbon dioxide and nutrients.

Competition between species

C4.1.13

Invasive and endemic species

pp. 568–569

An invasive species, introduced by humans, often lacks its natural predators and pathogens, and may take a shared resource more effectively. Grey squirrels outcompete red squirrels for seeds in Britain. Local examples include the nutria, Himalayan balsam and Japanese knotweed.

C4.1.14

Testing for competition

pp. 569–571

Approaches include laboratory experiments, field observations by random sampling, and field manipulation by removing one species, as Connell did with barnacles. If a species does better without the other, competition is indicated but not proven.

C4.1.15

The chi-squared test for association

pp. 572–574
Slide: expected values and a worked chi-squared calculation

Record the presence or absence of two species in many random quadrats. Expected value = row total × column total ÷ grand total. Chi-squared is the sum of (O − E)2 ÷ E. For a 2 × 2 table there is 1 degree of freedom, and the critical value at p = 0.05 is 3.84. A larger value means the species are associated.

Control of populations

C4.1.16

Predators and prey

pp. 574–575

When snowshoe hares are plentiful, lynx have more food and increase. More lynx eat more hares, so hares fall, and then lynx fall too. The two populations cycle, with the predator lagging behind: predation is density-dependent control.

C4.1.17

Top-down and bottom-up control

pp. 575–576

In top-down control, a higher trophic level limits the one below, by predation or herbivory. In bottom-up control, the supply of nutrients or producers limits the levels above. Both are possible, but one usually dominates in a community.

C4.1.18

Allelopathy and antibiotics

pp. 576–577

In allelopathy, a plant such as bracken or a walnut tree releases chemicals that stop other plants germinating or growing. Fungi such as Penicillium secrete antibiotics that kill bacteria. In both, a chemical released into the environment deters competitors.

Videos

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Note-taking sheet

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First page of the note-taking sheet

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Practice questions

A printable worksheet covering all eighteen statements, from quick recall to data questions and a longer answer. It has 50 marks and takes about 45 minutes, or you can do one section at a time.

Your teacher has the mark scheme.

First page of the worksheet

Data-based questions

Questions built on realistic experimental data, in the style of Paper 1B and Paper 2. Work them on paper and show your working. 19 marks in total. Your teacher has the mark scheme.

Competition between tree seedlings

6 marks

Since dams stopped rivers flooding in the south-west of the USA, the invasive salt cedar (Tamarix) has replaced native cottonwood (Populus) along many rivers. Cottonwood seedlings were grown in pots at four densities, either alone or with four salt cedar seedlings. The mean dry mass of each cottonwood seedling was measured after one season.

Line graph of mean dry mass of cottonwood seedlings against number of cottonwood seedlings per pot. Alone: 4.2, 3.9, 3.1 and 2.0 grams at 1, 2, 4 and 8. With salt cedar: 2.6, 2.3, 1.7 and 1.0.
  1. Describe the effect of increasing cottonwood density on the mass of cottonwood seedlings grown alone. [1]
  2. Calculate the percentage decrease in mass caused by salt cedar when one cottonwood seedling is grown per pot. [1]
  3. Distinguish between intraspecific and interspecific competition, using these data. [2]
  4. Salt cedar tolerates salty, dry soil better than cottonwood. Suggest how restoring natural floods could help cottonwood. [2]

Resting eggs in water fleas

7 marks

Water fleas (Daphnia) usually reproduce asexually, but can switch to sexual reproduction, making resting eggs that survive for years in lake mud. The graph shows day length and the biomass of algae (their food) in a lake over one year.

Line graph over 12 months. Algae biomass peaks at 3.0 in May, with a smaller peak of 2.0 in September, and is lowest in winter. Day length rises from 8 hours in January to 16.5 hours in June, then falls to 7.8 hours in December.
  1. Identify the month in which food is most plentiful. [1]
  2. Daphnia were kept in four combinations of day length and food, and the percentage of females producing resting eggs was recorded.

    High foodLow food
    Long days (16 h)2%18%
    Short days (10 h)21%64%
    Discuss which conditions favour the production of resting eggs. [2]
  3. Deduce, with a reason, whether many resting eggs are likely to be made in May. [1]
  4. Suggest the advantages to Daphnia of reproducing asexually at some times and sexually at others. [3]

A tree that poisons its neighbours

6 marks

Tree of heaven (Ailanthus altissima) is an invasive tree whose leaves release chemicals into the soil. An extract of its leaves was added at different concentrations to seeds of alfalfa, a crop plant, kept in the light or in the dark. After 5 days, root growth was measured as a percentage of the growth in water alone.

Line graph of alfalfa root growth against leaf extract concentration. In the light, growth falls from 100% to 78, 52, 30 and 12% at 1, 2.5, 5 and 10 grams per litre. In the dark it falls less, to 92, 80, 64 and 45%.
  1. State the root growth in the light at 5 g dm−3 of extract. [1]
  2. Compare the effect of the extract in the light and in the dark. [2]
  3. Suggest two reasons for testing the extract both in the light and in the dark. [2]
  4. Explain how releasing these chemicals could help tree of heaven become invasive. [1]

Practical

Estimating population size with quadrats

Field45 minC4.1.2, C4.1.3

You will need: Quadrats, tape measures, random number table

  1. Mark out a grid and use random numbers as coordinates
  2. Count a sessile plant, such as daisies, in 20 quadrats
  3. Calculate the mean per quadrat
  4. Scale up to estimate the population of the whole area

Safety: Check the site first and wash hands afterwards. In bad weather, use counters scattered on a classroom floor.

Carry this out with your teacher's supervision and follow your school's lab rules.

Nature of science and TOK

Syllabus statements

Summarised in our own words. Use each code to find the exact wording in your textbook or the IB subject guide.

  • C4.1.1Populations: interacting members of one species living in the same areap. 548
  • C4.1.2Estimating population size from random samplesp. 549
  • C4.1.3Using random quadrats to estimate populations of organisms that do not movep. 550
  • C4.1.4Estimating populations of moving organisms by capture-mark-release-recapture and the Lincoln indexp. 555
  • C4.1.5Carrying capacity and competition for scarce resourcesp. 557
  • C4.1.6How density-dependent factors regulate population size by negative feedbackp. 557
  • C4.1.7Curves showing population growthp. 558
  • C4.1.8Modelling the S-shaped (sigmoid) growth curvep. 562
  • C4.1.9What makes a community: every organism in an ecosystem, interactingp. 562
  • C4.1.10Competition and cooperation between members of one speciesp. 563
  • C4.1.11Types of relationship between species: herbivory, predation, competition, mutualism, parasitism and pathogenicityp. 564
  • C4.1.12Mutualism: a relationship between species that helps bothp. 566
  • C4.1.13How invasive and endemic species compete for resourcesp. 568
  • C4.1.14How to test for competition between speciesp. 569
  • C4.1.15Using the chi-squared test to see whether two species are associatedp. 572
  • C4.1.16Predators and prey as an example of density-dependent population controlp. 574
  • C4.1.17Top-down and bottom-up control of community populationsp. 575
  • C4.1.18Allelopathy and the release of antibioticsp. 576

HL extension

C4.1 has no HL-only content. SL and HL students learn the same material here.

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