Sampling Organisms (SQA National 5 Biology): Revision Note

Exam code: X807 75

Naomi Holyoak

Last updated

Quadrats

Sampling basics

  • Sampling can be defined as:

collecting a series of small data sets that can be used to represent an entire population

  • Sampling is a useful technique in large and complex habitats where it is not possible to find, identify, and count every organism

  • In order for sampling to be representative it is essential that:

    • samples sites are distributed randomly within a habitat to avoid bias

      • bias might occur, e.g. if a student chooses to take samples in a particular spot because the organisms look easier to count

    • enough samples are taken to represent the entire habitat; generally the higher the number of samples the more representative the results will be

Sampling with quadrats

  • A quadrat is a square frame that is placed within the area to be studied to provide a sample

    • Quadrats can be used to study sessile organisms

    • Different sizes of quadrat can be used depending on the species being studied:

      • a 1 m² quadrat can be used to study small organisms, e.g. herbaceous plants in a grassland

      • a 400 m² quadrat can be used to study large organisms, e.g. trees

  • Quadrats are placed on the ground and the species within can be assessed, e.g. by measuring:

    • abundance:

      • counting the number of individuals of a single species

      • determining the percentage of a quadrat that is covered by a species

    • species diversity: counting the number of different species

  • Quadrats can be placed in a habitat:

    • randomly: to investigate abundance across an entire habitat

    • along a transect: to show how distribution changes with an abiotic variable

Two people examining a white grid on grass; one person writes on paper while the other adjusts the grid.
Quadrats can be used to take samples when measuring biodiversity

Limitations of quadrat sampling

  • Sampling with quadrats has several limitations that can bias results or lead to error unless the survey is carefully planned; examples include:

Limitation

Potential error

Solution

Sample too small

Sample does not accurately represent the area being studied

Carry out more quadrat samples

All of the randomly generated samples fall in the same area of the site

Sample does not accurately represent the area being studied

Carry out more quadrat samples until the area has been sampled evenly

Too many individuals are present for easy counting

Counting is inaccurate

Record percentage cover instead of abundance

Some individuals fall partly inside and partly outside the quadrat

Counting is inaccurate

Adopt a consistent approach, e.g. count all individuals that are more than half within the quadrat

Identifying species can be difficult

Counting is inaccurate

Use a species identification key or photo guide to identify organisms

Small organisms may be hidden beneath larger organisms within a quadrat

Counting is inaccurate

Use a pencil or stick to move organisms carefully out of the way to check for individuals underneath

Pitfall traps

  • Quadrats are useful for sampling sessile organisms, but sampling of mobile organisms requires other techniques, e.g. the use of pitfall traps

  • Pitfall traps are used to sample invertebrate populations that are active on the ground

  • They are usually made from cans or jars that are buried so that the lip of the container is level with the ground

  • The container collects ground-dwelling insects and other invertebrates as they fall into the trap

    • Some researchers may add antifreeze liquid (ethylene glycol) to the container to kill and preserve the invertebrates; this prevents sample invertebrates from escaping and also stops predatory insects from eating prey insects

Invertebrate sampling techniques (1), downloadable AS & A Level Biology revision notes

Limitations of pitfall trap sampling

  • Pitfall traps, while useful for surveying ground-dwelling invertebrates, have limitations that can lead to error if not considered when designing investigations

Limitation

Potential error

Solution

The placement of traps may be biased

Results from traps don't accurately represent sample area

Use a grid and random number generator to place traps randomly

Animals escape or climb out

Inaccurate number of organisms collected

Use smooth-sided cups and / or a funnel insert

Pour ethylene into the bottom of the trap to kill organisms and prevent them from leaving

Trap may fill with water during wet weather

Organisms may be prevented from falling in or may be washed away, resulting in an inaccurate count

Fit rain covers

Add drainage holes

Standardise weather conditions for sampling

Predation inside traps

Inaccurate number of organisms collected

Add a refuge for prey organisms, e.g. twigs and leaf litter

Check trap often and collect organisms

Only traps active, ground-dwelling species

A full picture of the community and its interactions cannot be formed

Combine with other sampling methods (e.g. sweep-netting) to sample other niches

External scavengers or predators may consume trapped organisms

Inaccurate number of organisms collected

Use mesh covers or grilles to limit entry of larger animals

  • In addition to the potential sources of error surrounding pitfall traps, there are also some ethical concerns around their use; recommendations to reduce these issues include:

    • use non-lethal methods where possible

    • check traps often, and release organisms after counting

    • avoid setting traps in extreme weather conditions

    • handle and release organisms carefully

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Naomi Holyoak

Author: Naomi Holyoak

Expertise: Biology Content Creator

Naomi graduated from the University of Oxford with a degree in Biological Sciences. She has 8 years of classroom experience teaching Key Stage 3 up to A-Level biology, and is currently a tutor and A-Level examiner. Naomi especially enjoys creating resources that enable students to build a solid understanding of subject content, while also connecting their knowledge with biology’s exciting, real-world applications.