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Measuring Species Diversity

Environmental Science
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Measuring Species Diversity

Environmental Science
01 May 2026

Measuring Species Diversity

Quantifying biodiversity requires metrics that capture different aspects of community structure. VCE Environmental Science requires proficiency with three key measures: species richness, endemism and Simpson’s Index of Diversity (SID).

Species Richness

Definition: The total number of species present in a defined area or community.

  • The simplest measure of diversity
  • Easy to count and compare
  • Does not account for abundance — a community with 10 species of which 9 are represented by a single individual each looks as ‘rich’ as one where all 10 are equally common

When to use: Comparing diversity between regions; tracking colonisation after disturbance; rapid assessments.

Limitations:
- Sensitive to sampling effort — more sampling almost always finds more species
- Cannot distinguish between communities with very different structures
- Treats a community with 100 common species equally to one with 100 species where 99 are extremely rare

Endemism

Definition: A species is endemic to a region if it naturally occurs there and nowhere else in the world.

Significance:
- Endemic species have restricted ranges → local extinction = global extinction
- Regions with high endemism are conservation priorities
- Endemism reflects evolutionary history: isolation, stable refugia and adaptive radiation

Measuring endemism:
- Number of endemic species in a region
- Percentage endemism = (endemic species ÷ total species) × 100%
- Weighted endemism accounts for geographic range size

Australian endemism examples:
- ~80% of Australia’s flowering plants are endemic
- ~80% of freshwater fish are endemic
- All monotremes (platypus, echidnas) are endemic to the Australia-New Guinea region

Simpson’s Index of Diversity (SID)

SID is a combined measure of species richness and evenness, providing a more complete picture of community diversity.

Formula

$$SID = 1 - \frac{\sum n_i(n_i - 1)}{N(N-1)}$$

Where:
- $n_i$ = number of individuals of species $i$
- $N$ = total number of individuals
- The summation ($\sum$) is over all species present

Range and Interpretation

  • SID = 0: No diversity (only one species, or one species utterly dominates)
  • SID → 1: Maximum diversity (many species, all equally abundant)
  • Higher values = more diverse communities

Step-by-Step Worked Example

Site A has three species:
- Eucalyptus obliqua: 15 individuals
- Acacia melanoxylon: 8 individuals
- Pomaderris aspera: 2 individuals

Step 1: Calculate $n_i(n_i - 1)$ for each species:
- \$15 \times 14 = 210$
- \$8 \times 7 = 56$
- \$2 \times 1 = 2$

Step 2: Sum: $\sum n_i(n_i-1) = 210 + 56 + 2 = 268$

Step 3: $N = 15 + 8 + 2 = 25$; $N(N-1) = 25 \times 24 = 600$

Step 4: $SID = 1 - \frac{268}{600} = 1 - 0.447 = 0.553$

Interpretation: Moderate diversity (0.55); dominated by E. obliqua.

Comparing SID Values

Community Species Counts SID Interpretation
Forest A 3 15, 8, 2 0.55 Moderate, one dominant
Forest B 3 8, 8, 9 0.67 Higher, more even
Monoculture 1 25 0.00 No diversity

Forest B has the same number of species as Forest A but greater evenness, resulting in a higher SID.

Comparing the Three Measures

Measure Captures Richness? Captures Evenness? Captures Endemism?
Species richness Yes No No
Endemism Partially No Yes
SID Yes Yes No

EXAM TIP: VCAA frequently provides species count data in a table and asks you to calculate SID, compare values between sites, and draw conclusions. Practice the formula multiple times. A common error is forgetting to subtract 1 (i.e. calculating $\sum n_i^2$ instead of $\sum n_i(n_i-1)$).

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