🌱 Why Sample?
Sampling saves time and effort whilst still giving us useful data. It's like tasting a spoonful of soup to check if the whole pot needs more salt - you don't need to drink the entire pot!
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Unlock This CourseWhen biologists want to study ecosystems, they need to find out where different species live and how many there are. This is called investigating distribution. Since we can't count every single organism in a habitat (imagine trying to count every daisy in a field!), we use special sampling methods to get reliable estimates.
Key Definitions:
Sampling saves time and effort whilst still giving us useful data. It's like tasting a spoonful of soup to check if the whole pot needs more salt - you don't need to drink the entire pot!
Quadrats are square frames used to sample plants and slow-moving animals like snails. They help us study what's living in specific areas without having to count everything in the entire habitat.
A quadrat is typically a 1m × 1m square frame, though smaller ones (like 0.5m × 0.5m) can be used for detailed work. The key is to place them randomly to avoid bias - you don't want to accidentally choose only the areas with lots of flowers!
Use random number generators or throw the quadrat over your shoulder to ensure unbiased placement. This gives every part of the habitat an equal chance of being sampled.
Count individual organisms, estimate percentage cover for plants, or record presence/absence. Choose the method that works best for your species.
Take at least 10 quadrat samples, but more is better for accuracy. The more variable your habitat, the more samples you need.
Investigating Dandelion Distribution: Students investigating a school field used 20 random quadrat samples of 1m². They found dandelions in 15 out of 20 quadrats, with an average of 8 plants per quadrat. This gave them a frequency of 75% and an estimated density of 8 dandelions per m² across the field.
Transects are straight lines across a habitat used to study how species distribution changes from one area to another. They're perfect for investigating transitions between different habitats, like from woodland to grassland.
There are two main types of transects, each with different advantages depending on what you're studying.
A measuring tape is laid across the habitat and you record what's touching the line at regular intervals (e.g., every metre). Quick and simple, but gives limited data.
Quadrats are placed at regular intervals along the line, giving much more detailed information about species abundance and distribution patterns.
Rocky Shore Investigation: A belt transect from high tide to low tide mark revealed how limpet density increased from 2 per m² at the top to 15 per m² near the low tide mark, showing their preference for areas that stay wet longer.
This clever technique estimates populations of mobile animals that you can't easily count directly, like beetles, fish, or small mammals. It's based on the idea of marking some animals, releasing them, then seeing how many marked ones you catch later.
The method involves three main steps: capture and mark, release and wait, then recapture and count. The proportion of marked animals in your second sample helps estimate the total population size.
Catch animals safely and mark them with harmless paint, tags, or clips. Count how many you've marked before releasing them.
Allow time for marked animals to mix back into the population. Usually wait a few days to a week depending on the species.
Catch another sample and count how many are marked versus unmarked. Use the Lincoln Index formula to calculate population size.
Lincoln Index Formula:
Population estimate = (Number marked in first sample × Total caught in second sample) ÷ Number of marked animals recaptured
Woodlouse Population Study: Researchers marked 50 woodlice with harmless paint dots. A week later, they caught 40 woodlice, of which 8 were marked. Using the Lincoln Index: (50 × 40) ÷ 8 = 250 woodlice estimated in the total population.
Bias occurs when your sampling method accidentally favours certain areas or species, making your results unreliable. Good scientists work hard to minimise bias and make their results as accurate as possible.
Understanding where bias comes from helps you avoid it. Here are the main culprits and how to deal with them.
Unconsciously choosing 'interesting' areas or avoiding difficult terrain. Solution: Use random sampling methods and stick to your planned sampling points.
Only sampling at certain times of day or seasons. Solution: Consider when your target species are most active and sample accordingly.
Once you've collected your data, you need to process it to get meaningful results. The main calculations involve working out density, frequency and population estimates.
These calculations turn your raw data into useful information about species distribution and abundance.
Population Density = Total number of organisms ÷ Total area sampled
Frequency = (Number of samples containing the species ÷ Total number of samples) × 100
Mean = Sum of all values ÷ Number of samples
10 quadrats (each 1m²) contained: 5, 3, 7, 0, 2, 8, 4, 1, 6, 4 daisies respectively. Mean = 40 ÷ 10 = 4 daisies per m². Frequency = 9/10 × 100 = 90%.
Successful fieldwork requires careful planning and attention to detail. Weather, equipment and safety all play important roles in getting good results.
Rain affects animal behaviour and plant visibility. Plan for weather conditions and consider how they might affect your results.
Keep quadrats, measuring tapes and recording sheets in good condition. Damaged equipment leads to inaccurate data.
Work in groups, tell someone your plans and be aware of hazards like unstable ground, tides, or dangerous plants.