Investigating distribution of small organisms that are slow-moving or don't move around by enclosing a known area in a square frame, e.g., 1 m²
Ways to study the distribution of an organism
Measure how common an organism is in two or more sample areas
Study how the distribution changes across an area by placing quadrats along a transect
Data collected from quadrats and transects provide quantitative information about the distribution of organisms
Data collected can be used to provide evidence for environmental change

If the distribution of organisms across an area changes over time, it could be due to changes in the environment
Quadrats are squares used to study the distribution of small organisms that are slow-moving or stationary
Ecologists are scientists who specialise in studying the interaction between organisms and their environment
Before starting the experiment, check the area for hazards like broken glass and wash your hands after touching the soil
Tip: it's really important
Place a 1 m quadrat on the ground at a random point within the sample area. Divide the area into a grid and use a random number generator to pick coordinates
Counting organisms within the quadrat
Count all the organisms within the quadrat
Calculating mean number of organisms per quadrat
Work out the mean number of organisms per quadrat within the sample area
When counting plants in your quadrat, make sure to count the number of actual plants and the number of flowers
Finally compare the two means. Eg you might find 2 daisies per m² in one area, and 22 daisies per m² in another area. You might want to find and compare the mode and median of your data too
The mode is the number that appears most often in the data. For Anna's data above, the mode is 23 daisies per quadrat
To find the median, you first need to put your data in numerical order. The median is the middle value in your data. For Anna's data, the median is 23 daisies per quadrat
Estimating population size

You can use quadrats to work out the population size of an organism in one area