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4.6Genetics, Variation and Interdependence

Biodiversity — AQA A Level Biology 7402 Revision Notes & Topical Questions

10 min read 19 parts Lesson 32 of 46 Unit quiz

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Biodiversity, Index of Diversity and Farming — AQA A LEVEL BIOLOGY 7402 notes: Define biodiversity, calculate an index of diversity and evaluate the effects of farming on biodiversity.Biodiversity is the variation that exists within and between all forms of life.

  • Species richness
  • Worked example 1
  • Worked example 2
  • Worked example 3
  • Monoculture
  • Conservation

Section 1 of 19Biodiversity

Biodiversity is the variation that exists within and between all forms of life. It describes the range and variety of genes, species and habitats within a particular region and can be assessed on different scales: within a community, within a species (genetic diversity) and across habitats.

Section 2 of 19Species richness and index of diversity

Species richness is the number of species in a community; it is the simplest measure of species diversity, but does not take into account how many individuals of each species are present.

Index of diversity
An index of diversity describes the relationship between the number of species in a community and the number of individuals in each species.
It takes into account both species richness (how many different species) and species evenness (the relative abundance of each).
The formula is given in the exam:
Species richness and index of diversity
d = N(N − 1) ÷ Σn(n − 1)
where N is the total number of organisms of all species and n is the number of individuals of each species.
Worked example: insects in a back garden were collected using sweep nets and keys; the total N = 202.
  • Step 1: calculate N(N − 1) = 202 × 201 = 40 602 (value A).
1
Step 2: calculate n(n − 1) for each species.
2
Step 3: add these to give Σn(n − 1) (value B).
3
Step 4: divide value A by value B.
4
A higher index of diversity means a more diverse community.

Section 3 of 19Farming and conservation

After the Second World War there was a massive change in food production: the need to produce more food at a quicker rate meant farmers had to achieve higher yields, so modern farming practices began: removal of hedgerows to make larger fields, monoculture, use of pesticides and herbicides, artificial fertilisers, drainage of wetlands, and use of machinery. These reduce biodiversity by removing habitats and killing non-target species.

Conservation matters because it maintains biodiversity, including wild species that may have future value (for example in medicine or agriculture); supports ecosystem stability; there are ethical, aesthetic and cultural reasons; and it helps combat climate change through carbon storage (for example in woodland and peatland). The aim is to maintain or improve biodiversity while still producing enough food.

Section 4 of 19Worked examples

  1. Calculate the index of diversity for a community with 3 species of 10, 5 and 5 individuals. [3]3 marks

  2. Explain why species richness alone is a poor measure of biodiversity. [2]2 marks

  3. Explain how removing hedgerows reduces biodiversity. [3]3 marks

Section 5 of 19Balancing farming and conservation

Balancing farming and conservation is challenging, but grants (for example EU subsidies) support environmentally friendly practices to offset losses, such as leaving field margins, planting hedgerows and reducing pesticide use. Know some examples of modern farming methods and be able to explain how they affect biodiversity.

Section 6 of 19Defining species and measuring variation

A species is a group of organisms that can interbreed and produce fertile offspring; members of one species are reproductively isolated from members of another. Diversity can be investigated by comparing:

1
Observable characteristics
, such as patterns on fur, scales or feathers.
  • This method is not precise enough if only one characteristic is looked at (many animals have four legs) but is useful if a species has unique characteristics.
  • If two species cannot be distinguished by observable features, measurable characteristics (such as beak length) give a better understanding of similarities and differences.
2
DNA base sequences
,
  • which can be compared directly; the same mRNA must be compared between samples,
    • and primers that bind to specific sequences can be used to select the gene.
3
Amino acid sequences
Amino acid sequences of proteins.
  • Example
    • step 1, align the sequences;
      • step 2, determine the most similar sequences.
  • If Species X and Species Z have the most similar amino acid sequences, they are the most closely related.

Section 7 of 19Random sampling

Biodiversity can be hard to measure in large or complex ecosystems such as rainforests. Accurate species lists require identifying and counting all organisms present, which is only realistic in small or simple habitats (for example woodland plots or tree species). Sampling is used to estimate the abundance and distribution of species in a representative way.

Random sampling
Mark a grid on a map or scale drawing of the area, with coordinates on the axes.
Use a random number generator to choose coordinates.
Place a frame quadrat at each set of coordinates and record the species present and their abundance.

The area must be large enough to give a representative estimate for the habitat.

Section 8 of 19Worked examples

  1. Explain why a random number generator is used to place quadrats. [2]2 marks

  2. Explain why observable characteristics are a limited way to identify species. [2]2 marks

  3. Species X, Y and Z have 2, 10 and 11 differences in amino acid sequence from species W. Which pair is most likely most closely related to W? [1]1 mark

Section 9 of 19Quadrat sampling

Once a quadrat is placed at a sample point, the abundance of all species present can be recorded. Mark up a grid on a map or scale drawing, label with coordinates, and use a random number generator to select coordinates. The area must be large enough for a representative estimate.

Frequency
Frequency record whether the species is present or absent in each quadrat. Frequency (%) = (number of quadrats where the species is present ÷ total number of quadrats) × 100. For example, if found in 3 of 10 quadrats, the frequency is 30%.
Density
Density shows how many individuals of a species there are per unit area. Example: 107 bluebells in 50 quadrats of 1 m2: density = 107 ÷ 50 = 2.14 individuals per m2.
Percentage cover
Percentage cover estimate the percentage of each quadrat covered by the species (useful for plants too numerous to count).

Section 10 of 19Random sampling to determine distribution

Random sampling can determine whether a species grows in groups (clumped) or is evenly spread. A method should include: the sampling technique (random or systematic, such as a belt transect along an environmental gradient); data collection (quadrats, transects); what will be measured (frequency, percentage cover, physical traits); and reliability and validity (repeats, controlling variables, sufficient sample size).

Section 11 of 19Mean and standard deviation

Descriptive statistics summarise large data sets concisely.

Mean and standard deviation
The mean must be calculated before the standard deviation.
The standard deviation measures how spread out values are around the mean: a small SD means values are close to the mean (consistent); a large SD means they are widely scattered.
You will not have to calculate a standard deviation in written papers, but may do so in practical work, and must understand what it tells you.

Method (rabbit ear lengths)

  • 1) calculate the mean;
    • 2) find the difference between each value and the mean (x − x̄);
    • 3) square each difference;
    • 4) total the squared differences;
    • 5) divide by (n − 1);
    • 6) take the square root.
  • SD = √[Σ(x − x̄)2 ÷ (n − 1)].

Section 12 of 19Worked examples

  1. A species is found in 12 of 40 quadrats. Calculate the frequency. [1]1 mark

  2. A student counts 215 daisies in 20 quadrats of 0.25 m2. Calculate density per m2. [2]2 marks

  3. Explain what a large standard deviation indicates. [1]1 mark

Section 13 of 19Quantitative investigations of variation

Variation can be investigated using measures of central tendency such as the mean, the average value of a data set, and the standard deviation, which describes spread.

Quantitative investigations of variation
When comparing two means with their standard deviations, if the standard deviations do not overlap, the difference is likely to be statistically significant; overlapping SDs suggest the difference may be due to chance.
A statistical test (such as a t-test) gives a more reliable answer.

Section 14 of 19Worked context: diet and coronary heart disease

A group of scientists investigated the effects of a diet on the risk of coronary heart disease.

1
One group was given the diet for 8 weeks while the other was a control.
2
After 8 weeks they measured the diameter of the lumen of the main artery in the arm.
3
The table gave the mean maximum diameter of the lumen (mm) ± standard deviation for each group.
4
To interpret: compare the means,
  • then check whether the standard deviations overlap;
    • if they do not, the difference is likely significant and could suggest the diet increases lumen diameter (reducing risk), though a correlation does not prove the diet alone caused the change.
5
Also consider sample size, control of other variables, and duration.

Section 15 of 19Genetic relationships between organisms

Before DNA sequencing, genetic diversity was investigated by inferring DNA differences from measurable characteristics such as phenotype. DNA sequencing now allows genetic diversity to be assessed and tracked more accurately. DNA from the nucleus, mitochondria and chloroplasts can be sequenced to show evolutionary relationships between species.

Sequence comparisons help determine evolutionary relationships by analysing DNA or protein similarities.

1
As a general rule, fewer differences mean a more recent common ancestor, whereas more differences may mean a longer time since divergence.
2Sequence alignments
DNA or amino acid sequence alignments are lines of base or amino acid letters lined up to show matching positions; the number of differences or mutations can be counted.

Section 16 of 19From observable traits to molecular methods

Older methods of assessing genetic diversity are based on observable phenotypes (for example flower colour or leaf shape), which can be affected by the environment and do not show differences in non-coding DNA or silent mutations.

From observable traits to molecular methods
Molecular methods such as DNA sequencing are more accurate and objective.
You are not expected to know how the technologies work, but you should understand what they are used for and why they are more accurate.

Section 17 of 19Worked examples

  1. Mean artery diameter is 3.8 ± 0.2 mm in the diet group and 3.2 ± 0.3 mm in controls. Evaluate the evidence. [3]3 marks

  2. Explain why fewer sequence differences suggest a more recent common ancestor. [2]2 marks

  3. Give a reason why DNA sequencing is more accurate than comparing phenotypes. [1]1 mark

Section 18 of 19Key terms

TermMeaning
BiodiversityVariety of genes, species and habitats
Species richnessNumber of different species in a community
Index of diversityMeasure combining richness and evenness
MonocultureGrowing a single crop over a large area
ConservationProtecting and managing biodiversity
TermMeaning
QuadratFrame used to sample a small area
Random samplingChoosing sites by chance to avoid bias
PrimerShort DNA sequence that binds to a specific target sequence
Reproductive isolationInability of two species to interbreed
TermMeaning
FrequencyPercentage of quadrats in which a species occurs
DensityNumber of individuals per unit area
Percentage coverProportion of area covered by a species
Standard deviationMeasure of spread of data around the mean
TransectLine along which samples are taken
TermMeaning
MeanAverage value of a data set
Standard deviationMeasure of spread of data
Sequence alignmentMatching up of DNA or amino acid sequences to compare them
DivergenceSplitting of lineages from a common ancestor
Statistical significanceDifference unlikely to be due to chance

Section 19 of 19Exam technique

Avoid these mistakes
Confusing species richness with the index of diversity.
Forgetting to subtract 1 in N(N - 1) and n(n - 1).
Saying farming always reduces biodiversity.
Avoid these mistakes
Placing quadrats where there are more plants.
Using only one observable characteristic to identify species.
Sampling too small an area to be representative.
Avoid these mistakes
Using the total quadrat count without dividing by area.
Dividing by n instead of n - 1 for the sample standard deviation.
Calculating the SD before the mean.
Avoid these mistakes
Concluding that overlapping standard deviations show a significant difference.
Thinking a bigger mean always means a significant difference.
Saying DNA sequencing is only used for nuclear DNA.

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