Fieldwork techniques (AQA GCSE Biology Combined Science): Revision Notes
Fieldwork techniques
Scientists need ways to study living things in their natural habitats. It would be impossible to count every single organism in an ecosystem, so they use special sampling methods to estimate populations and study how species are distributed.
Abundance using quadrats
What are quadrats?
A quadrat is a square frame with a known area that helps you sample a small section of a habitat. Scientists use quadrats to estimate how many organisms live in a larger area without having to count everything.
Quadrats provide a standardised way to sample populations by focusing on manageable, measurable areas rather than attempting to count entire ecosystems.
How to use quadrats effectively
When studying a population using quadrats, you need to follow these key steps:
Step 1: Measure your study area
Work out the total size of the area you want to investigate.
Step 2: Place quadrats randomly
Don't choose where to put your quadrats - use random sampling to avoid bias. This means the organisms are spread evenly across your study site.
Step 3: Count organisms in each quadrat
Record how many of your target species you find inside each quadrat frame.
Avoid Sampling Bias!
Never choose quadrat locations based on where you think you'll find the most organisms. Random placement is essential for accurate population estimates. Any bias in quadrat placement will lead to unreliable results.
When quadrats work best
Quadrats are most useful for studying plants and very slow-moving animals. Fast animals would move away before you could count them accurately, making your results unreliable.
Calculating population estimates
Once you've collected your quadrat data, you can estimate the total population using this systematic approach:
- Calculate the mean - Add up all your quadrat counts and divide by the number of quadrats
- Work out the scaling factor - Divide the total study area by the quadrat area
- Estimate total population - Multiply your mean by the scaling factor
Worked Example: Population Estimation
Given data:
- Study area: 200 m²
- Quadrat area: 0.25 m²
- Mean organisms per quadrat: 1.7
Step 1: Calculate scaling factor Scaling factor =
Step 2: Calculate population estimate Total population estimate = Mean × Scaling factor Total population estimate = organisms
Understanding your data with statistics
Calculating the mean
To find the average number of organisms per quadrat:
- Add all your count values together
- Divide this total by how many quadrats you used
The formula is:
Finding the mode and median
When you arrange your data in order from smallest to largest, you can find:
Mode - The number that appears most often in your data set. This shows the most common count you recorded.
Median - The middle value when your data is arranged in order. If you have an even number of values, add the two middle numbers and divide by 2.
Statistical Example with Sample Data
For the dataset: 0, 0, 0, 1, 1, 2, 2, 3, 4, 4
- Mode = 0 (appears three times - most frequent value)
- Median = (middle values averaged)
- Mean =
Distribution using transects
What is a transect?
A transect is a straight line across your study area that helps you see how species change from one place to another. Instead of random sampling, you place quadrats at regular intervals along this line.
How transects work
You lay a measuring tape in a straight line across your habitat, then place quadrats at equal distances along this line (for example, every 5 metres). This technique is particularly useful for studying how species distribution changes due to environmental factors like moisture, light, or altitude.
Transects are especially valuable when investigating ecological gradients - areas where environmental conditions change gradually across space, such as from woodland edge to interior, or from wet to dry areas.
Why use transects?
Transects help you investigate whether certain species prefer specific conditions within a habitat. You might discover that some plants only grow near water sources or that animal abundance changes with distance from shelter.
Key Points to Remember:
- Quadrats estimate populations by sampling small areas randomly - perfect for plants and slow animals
- Calculate means by adding all counts together and dividing by the number of quadrats used
- Random sampling prevents bias - don't choose where to place your quadrats
- Transects show distribution patterns by placing quadrats at regular intervals along a line
- Mode and median help analyse data - mode is most frequent, median is the middle value