StudyDeck

Variation

Exam code: 5090
Written by: Ashika|Reviewed by: Caroline Carroll|Updated 2 July 2026

Types of Variation

Types of Variation

  • Variation is defined as differences between individuals of the same species

  • Phenotypic variation is the difference in features between individuals of the same species

  • Phenotypic variation can be caused in two main ways:

    • It can be genetic - controlled entirely by genes

    • Or it can be environmental - caused entirely by the environment in which the organism lives

  • Examples of genetic variation in humans include:

    • Blood group

    • Eye colour

    • Ability to roll tongue

    • Whether ear lobes are free or fixed

Earlobe variation diagram

Variation in attached and detached earlobes

Whether earlobes are attached (lobeless) or free (lobed) is an example of genetic variation

  • Characteristics of all species can be affected by environmental factors such as climate, diet, accidents, culture and lifestyle

  • In this instance ‘environmental’ simply means ‘outside of the organism’ and so can include factors like climate, diet, culture, lifestyle and accidents during lifetime

  • Examples include: 

    • An accident may lead to scarring on the body

    • Eating too much and not leading an active lifestyle will cause weight gain

    • Being raised in a certain country will cause you to speak a certain language with a certain accent

    • A plant in the shade of a big tree will grow taller to reach more light

  • Phenotypic variation can be divided into two types depending on how you are able to group the measurements:

    • Continuous variation

    • Discontinuous variation

Continuous Variation

  • Continuous variation is when there are very many small degrees of difference for a particular characteristic between individuals and they are arranged in order and can usually be measured on a scale

  • Examples include height, mass, finger length etc. where there can be many intermediate groups

  • Continuous features often vary because of a combination of genetic and environmental causes, for example:

    • Tall parents will pass genes to their children for height

    • Their children have the genetic potential to also be tall

    • However if their diet is poor then they will not grow very well

    • Therefore their environment also has an impact on their height

  • When graphs of this data is plotted, continuous variation gives smooth bell curves (a result of all the small degrees of difference)

Continuous variation bell-shaped curve

Graph showing continuous variation of height in a population

Height is an example of continuous variation which gives rise to a smooth bell-shaped curve when plotted as a graph

Discontinuous Variation

  • Discontinuous variation is when there are distinct differences for a characteristic

  • For example, people are either blood group A, B, AB or O; are either male or female; can either roll their tongue or not - there are no intermediary values

  • Seed shape and seed colour in peas are also examples of discontinuous variation

  • Discontinuous variation is usually caused by genetic variation alone

  • When graphs of these data are plotted it is presented on a bar chart

Bar chart of discontinuous variation

Discontinuous variation bar chart

Blood group is an example of discontinuous variation which gives rise to a step-shaped graph

Investigating variation

  • There are various ways in which we can investigate examples of continuous and discontinuous variation

  • The example below shows an example of an investigation into discontinuous variation

Polymorphism in snails

  • Two species of snail from the same genus, Capaea, are found commonly in woodlands and grassland habitats in the UK

  • The different variations in shell pattern across the two snail species show polymorphic variation (poly = many, morphism = form)

  • There are four shell patterns:

Snail shell pattern variation diagram

variation-in-snails

 

Snails in the genus Capaea show polymorphic variation due to the different shell patterns observed in different habitats

Investigating polymorphic variation in snails

  • We can investigate the frequency of the different patterns in the populations of snails in woodland and grassland areas to show the effect of habitat on variation

  • The method is as follows:

    • A representative sample of 50 snails from each habitat are photographed

      • Quadrat sampling could be used to select snails in a random sample in each habitat

      • Taking a photograph of the snails in their habitat means that no snails would need to be removed

        • This is an ethical consideration

    • For each habitat, the snails are categorised into one of the four different variants: 

      • Pink/brown plain

      • Yellow plain

      • Pink/brown striped

      • Yellow striped

    • Results can be recorded in a table and presented in a bar chart for each habitat

Results

  • An efficient way to record the frequency of snails within each category is to use a tally chart:

Example of a tally chart for recording results

Snail type

Woodland

Grassland

Tally

Number

%

Tally

Number

%

Pink/brown plain

||||  |||| |||| ||{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}

17

34

|||| |||| ||{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}

12

24

Yellow plain

|||| ||{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}

7

14

|||| |||| |||| ||{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}

17

34

Pink/brown striped

|||| |||| |||| |||{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}

18

36

|||| ||{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}

7

14

Yellow striped

|||| |||{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}

8

16

|||| |||| ||||{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}

14

28

  • These results can then be presented in a bar chart:

Example of a bar chart to represent tallied results

variation-in-snail-shells-bar-chart

Results analysis and conclusions

  • Results analysis is about looking at the data to identify the key trends

  • In the table above, we can see that...

    • all snails were recorded in both habitats

    • more pink/brown striped and pink/brown plain snails recorded in woodland compared to grassland

    • more yellow plain and yellow striped snails recorded in grassland compared to woodland

    • more than double the number of yellow plain snails recorded in grassland compared to woodland

    • more than double the number of pink/brown striped snails recorded in woodland compared to grassland

  • Conclusions are then made to try and explain the patterns seen in the results

  • Questions that might be relevant when writing conclusions for the results above might include:

    • Can the four categories of snail patterns be considered common in both habitats?

    • Are there more snails with a certain shell pattern found in one habitat because they are more adapted to that habitat?

    • Do the results suggest that the habitat has an impact on the variation of snails?

Evaluating your methods

  • In an evaluation, you should consider the strengths and limitations of your investigation

  • The sampling techniques used to collect the results will determine how representative the sample is and therefore how valid the results are

    • How was the area in the habitat selected?

    • Were the snails collected randomly?

    • Was the sample size big enough?

    • How were snails located within the habitat?

    • Were some snails less obvious than others due to camouflage? Did these snails get missed in the sampling techniques?

    • Did methods take into account the ethical considerations?

      • Snails are live animals so methods should be designed to prevent any harm