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Species diversity indices

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2003 class mite data. Log2 abundance class. Essentially number of species ... 2003 class mite data. PRIMER 'Dominance plot' 2. Summarize everything in one index ... – PowerPoint PPT presentation

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Title: Species diversity indices


1
Species diversity indices
2
Are these two communities equally diverse?
Site 1 Site 2
Sp A 12 49
Sp B 11 1
Sp C 14 1
Sp D 13 1
3
3 Ways to include abundance in species diversity
  1. Plot the distribution of individuals amongst
    species.
  2. Summarize both abundance and species richness in
    a single index.
  3. Examine the evenness of the distribution of
    individuals amongst species

4
1. Plot the distribution of abundance amongst
species
  • Three models have been proposed
  • Log-series
  • Broken stick
  • Log-normal
  • All are supported by data
  • None have a good theoretical explanation
  • (save Stephen Hubbells neutral model, 2001)
  • Hard to tell apart statistically!

5
Log-series
Most species are represented by only a couple of
individuals (i.e. rare). Only a few
highly-abundant (i.e. common) species.
100
Straight line predicted
Log abundance per species
10
1
1
2
3
Linear species rank (1most abundant)
6
Broken-stick
  • More equitable distribution of abundances
    amongst species than log-series.
  • Like log series most species have a fairly low
    abundances.

7
Log-series revisited
Most species are rare
100
Log abundance per species
Number of species
10
1
1
2
3
Log abundance class per species
Linear species rank (1most abundant)
8
Log-normal
Most species are do NOT have abundances of only a
few individuals, but rather have intermediate
abundances (on a log scale! Still low)
Number of species
Log normal
Log abundance class per species
9
2003 class mite data
Essentially number of species
Log2 abundance class
PRIMER Geometric class plot
10
2003 class mite data
Linear abundance per species
Log species rank
PRIMER Dominance plot
11
2. Summarize everything in one index
Some indices output by PRIMER (formulas in Krebs
and Magurran)
  • Simpsons (1-lambda, or 1-D in Krebs)
  • Shannon-Wiener
  • Alpha (a parameter from log series)
  • Margalef d

12
Shannon-Wiener sum (-Proportion spA ln (prop
spA) (-Proportion spBln(prop spB)...)
Site 1 Site 2 Site 1 -plnp Site 2 -plnp
Sp A 12 49 0.34 0.06
Sp B 11 1 0.33 0.08
Sp C 14 1 0.36 0.08
Sp D 13 1 0.35 0.08
sum 1.38 0.28
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17
Which index?
Read Krebs and Magurran and consider -
Sensitivity to differences in sample size. - Do
you want differences in rare or abundant species
to be emphasized? - Do you want differences in
species richness or evenness to be emphasized? -
How does log-normal vs. log-series affect? -
Performance in other studies (what works?).
18
3. Measure evenness separately
  • Pielous J Comparison of actual Shannon-Wiener
    with Shannon-Wiener if species had equal
    proportion (log S).
  • Close to 1 very even distribution of abundances
    amongst species
  • Close to 0 very uneven

19
Site 1 Site 2 Site 1 -plnp Site 2 -plnp
Sp A 12 49 0.34 0.06
Sp B 11 1 0.33 0.08
Sp C 14 1 0.36 0.08
Sp D 13 1 0.35 0.08
Sum (Shannon-Wiener) Sum (Shannon-Wiener) Sum (Shannon-Wiener) 1.38 0.28
Log S 1.39 1.39
J 1.00 0.20
20
  • Smarties revisited!
  • 1. Count your smarties. Each colour is a
    different species.
  • 2. Does your distribution fit log-series or
    log-normal? (Use log 2 abundance classes to make
    bar graph).
  • 3. Calculate the following diversity/evenness
    indices
  • Simpsons
  • Shannon-Wiener
  • Pielous J
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