Determining Stomatal Density: Skills (DP IB Biology)
Revision Note
Determining Stomatal Density
The density of stomata (the number of stomata per unit of area) can be a useful measurement to biologists
To assess the plant's likely response to a dry spell of weather
To predict its behaviour in windy or wet climates if the plant was being moved for agricultural / horticultural reasons
This technique can be used to assess how stomatal density varies from species to species
Apparatus
A plant to sample a leaf from
Clear nail varnish (ideally solvent based)
Sellotape
Microscope
Microscope slides
Stage micrometer
Counting device (clicker/ phone app etc.)
Calculator
Method
Select a leaf from a live plant and cut it off the plant
Geraniums and spider plants make good subjects for this experiment
Place the leaf upside down on a flat surface such as a tile or worktop
Paint clear nail varnish onto the underside of the leaf
Wait for the nail varnish to dry (approx. 5 minutes)
Peel off the layer of varnish using sellotape
Discard the leaf
The layer of varnish now forms a leaf cast
Place the dried varnish impression on a microscope slide
A coverslip is not required as this isn't a biological sample, just an impression of one
A drop of water is not required either, so long as the sample is laid flat on the slide
Use the usual steps to focus on the sample (you can read about this in our revision note on microscope skills)
Adjust the zoom such that a countable number of stomata are visible in the field of view
Between 15 and 100 is ideal
Even if a stoma is partially visible at the edge, still count it as 1
Count the stomata in that field of view
You may wish to use a clicker or phone app so you don't lose count!
Move the field of view to another area of the nail varnish layer and repeat
Count at least 3 separate fields of view and take a mean value
Repeat readings allow you to eliminate anomalous results and calculate a reliable mean
Measurements to take
Use a stage micrometer to measure the diameter of the field of view
This has to be at the same magnification power that you used when counting the stomata
The stage micrometer will be calibrated in micrometers
A typical microscope allows the scientist to look at a field of view of about 0.5 mm diameter when on full power (× 400)
You will have calculated a mean number of stomata per field of view from the previous stage
You can read about using a stage micrometer in our revision notes on microscope skills
Worked Example
A study reveals a mean count of 16 stomata per field of view at a magnification of × 400. The stage micrometer calculates the diameter of the field of view at a magnification of × 400 to be 0.46mm
Calculate the stomatal density based on these data. Give units in stomata per mm2
Use a value of π = 3.14 and give your answer to the nearest whole number of stomata.
Answer:
Step 1: Calculate the radius of the field of view
Radius = Diameter ÷ 2
Radius = 0.46 mm ÷ 2 = 0.23 mm
Step 2: Calculate the area of the field of view
Area = πr2 = π × 0.232
Area = 0.1662 mm2
Step 3: Divide the mean number of stomata by the area of the field of view to calculate density
Density = 16 ÷ 0.1662 = 96.27 stomata per mm2
Step 4: Round to the required precision (nearest whole number)
Density = 96 stomata per mm2
Limitations
Not all plant species have easily accessible stomata that create a strong imprint
Solvent-based nail varnish can destroy some of the cell structure it comes into contact with
Does the plant grow more stomata (guard cells) according to the conditions in each individual habitat?
Water-based nail varnish is safer to use but dries more slowly
NOS: Reliability of quantitative data is increased by repeating measurements
Reliability refers to the level of trust that we can place in numerical measurements
These types of measurements are known as quantitative data
Repeating the stomatal count for the same species of leaf under the same conditions will increase the reliability of the results
It is very possible that the data gathered during a single count could contain errors that we may not be aware of
Taking repeated measurements will identify anomalous measurements and allow us to calculate a mean
Anomalous measurements are those that deviate from the expected measurements
Anomalies are omitted when calculating the mean for a data set
If repeated stomatal counts deliver similar results, the data is said to be reliable
We can therefore place a higher level of trust in the data than what would have been possible if we got very different results with every count
Repeating measurements is a crucial step in gathering data during a scientific investigation
Examiner Tips and Tricks
Anomalous results are sometimes referred to a outliers.
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