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This lesson covers the core practical on investigating population size using quadrats and transects as required by the Edexcel GCSE Combined Science specification (1SC0). You need to understand how to use random sampling and systematic sampling to estimate population size, calculate population estimates and evaluate the reliability of your results.
It is usually impossible to count every organism in a habitat. Instead, scientists take samples — small representative portions of the habitat — and use the data to estimate the total population.
For sampling to be valid:
| Equipment | Purpose |
|---|---|
| Quadrat | A square frame (usually 0.25 m² or 1 m²) placed on the ground to define a sample area |
| Measuring tape | Used to set up transect lines or measure distances in the sampling area |
| Random number generator | Produces random coordinates to decide where quadrats are placed (avoids bias) |
| Identification key | Used to identify the species found in each quadrat |
| Recording sheet | To record species and numbers found in each sample |
Random sampling is used to estimate the population size of a species across a whole area.
| Step | Action |
|---|---|
| 1 | Lay two measuring tapes at right angles along two edges of the study area to create an x-axis and y-axis |
| 2 | Use a random number generator to produce pairs of coordinates (x, y) |
| 3 | Place the quadrat at each pair of random coordinates |
| 4 | Count the number of the target species inside the quadrat (or estimate percentage cover for plants) |
| 5 | Repeat for at least 10 quadrats (more is better for reliability) |
| 6 | Calculate the mean number of organisms per quadrat |
| 7 | Scale up to estimate the total population for the whole area |
graph TD
A["Set up x and y axes with measuring tapes"] --> B["Generate random coordinates"]
B --> C["Place quadrat at coordinates"]
C --> D["Count target species in quadrat"]
D --> E["Record results"]
E --> F{"More quadrats needed?"}
F -->|"Yes"| B
F -->|"No"| G["Calculate mean per quadrat"]
G --> H["Estimate total population"]
Step 1: Calculate the mean number of organisms per quadrat.
Mean = total number of organisms counted ÷ number of quadrats
Step 2: Scale up to the total area.
Estimated population = mean per quadrat × (total area ÷ area of one quadrat)
A student uses a 0.25 m² quadrat to sample daisies in a field measuring 200 m². They place 10 quadrats and count the following:
| Quadrat | Number of daisies |
|---|---|
| 1 | 3 |
| 2 | 5 |
| 3 | 2 |
| 4 | 4 |
| 5 | 6 |
| 6 | 3 |
| 7 | 4 |
| 8 | 5 |
| 9 | 2 |
| 10 | 6 |
Step 1: Mean
Total daisies = 3 + 5 + 2 + 4 + 6 + 3 + 4 + 5 + 2 + 6 = 40
Mean = 40 ÷ 10 = 4 daisies per quadrat
Step 2: Estimate total population
Number of quadrats that fit in the field = 200 ÷ 0.25 = 800
Estimated population = 4 × 800 = 3,200 daisies
Exam Tip: Always show your working in population estimate calculations. Write the mean clearly, then show the scaling-up calculation. Common mistakes include forgetting to divide by the quadrat area.
For species that are hard to count individually (e.g. grass, moss), use percentage cover — estimate what percentage of the quadrat is covered by that species.
| Species | Quadrat 1 | Quadrat 2 | Quadrat 3 | Mean |
|---|---|---|---|---|
| Grass | 70% | 65% | 75% | 70% |
| Moss | 10% | 15% | 5% | 10% |
| Bare soil | 20% | 20% | 20% | 20% |
A belt transect is a systematic sampling method used to investigate how species distribution changes across a habitat (e.g. from a pond edge to open grassland, or from the bottom to the top of a rocky shore).
| Step | Action |
|---|---|
| 1 | Lay a measuring tape in a straight line across the area of interest (the transect line) |
| 2 | Place a quadrat at regular intervals along the tape (e.g. every 2 metres) |
| 3 | At each position, count the species or estimate percentage cover |
| 4 | Record the results and the distance along the transect |
| 5 | Look for patterns or trends in species distribution related to distance |
Use a transect when you want to investigate the effect of a changing environmental factor on species distribution. Examples:
| Scenario | Environmental gradient |
|---|---|
| Shore to inland | Distance from the sea; exposure to salt spray |
| Pond edge to dry grassland | Soil moisture, light levels |
| Path edge to woodland interior | Trampling, light intensity |
| Base to top of a hill | Altitude, temperature, wind exposure |
graph LR
A["Start of transect (e.g. pond edge)"] -->|"Quadrat every 2m"| B["0m"]
B --> C["2m"]
C --> D["4m"]
D --> E["6m"]
E --> F["8m"]
F --> G["End of transect (e.g. dry grassland)"]
| Variable type | In this practical |
|---|---|
| Independent | Position of the quadrat (random coordinates or distance along transect) |
| Dependent | Number of organisms (or percentage cover) found in each quadrat |
| Control | Same quadrat size, same method of counting, same time of day, same habitat area |
| Strategy | How it helps |
|---|---|
| Use random sampling | Avoids bias — no personal choice about where to place quadrats |
| Take more samples | Larger sample size gives a more reliable mean and a better estimate |
| Repeat the investigation | Check for consistency; calculate a mean across repeats |
| Use the same quadrat size | Ensures fair comparison between samples |
| Sample at the same time of day | Some organisms are more active at certain times; keeps conditions consistent |
| Identify species correctly | Use an identification key to avoid miscounting |
Exam Tip: If asked how to improve the investigation, the best answer is usually "increase the number of quadrats" or "use more random coordinates". This increases the sample size and makes the estimate more reliable.
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