Diversity Indices and Community Comparisons

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A set of 30 flashcards summarizing key concepts from the lecture on diversity indices, their calculations, and implications for ecological studies.

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32 Terms

1
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What is the Shannon Index used for?

To measure biodiversity by considering both the number of species and their evenness.

2
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What does the Simpson Index measure?

The probability that two randomly selected individuals belong to the same species.

3
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What is the effective number of species?

The number of equally-common species required to give a particular value of the diversity index.

4
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What is the equation for the Shannon Index (H)?

H = -∑(pi * log(pi)) where p_i is the proportion of species.

5
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What is the equation for the Simpson Index (D)?

D = 1 - ∑(pi^2) where pi is the proportion of species.

6
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Which community is more diverse, C1 or C2, based on species number?

C2 is more diverse because it has 4 species compared to C1's 3 species.

7
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How is Shannon diversity sensitive?

It is sensitive to the presence of rare species.

8
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In terms of dominant species, which index is most affected?

Simpson diversity is influenced more by frequent species.

9
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What does the Berger-Parker index depend on?

It depends only on the most frequent species.

10
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What does a diversity profile illustrate?

It shows the relationship between diversity values and the scale parameter alpha.

11
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How does the scale parameter α influence diversity indices?

It quantifies how much the measure discounts rare species when calculating diversity.

12
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What type of communities cannot be ranked based on diversity?

Communities whose diversity profiles intersect.

13
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What does the Right Tail Sum (RTS) method evaluate?

The sum of relative abundances of species from a certain point onward.

14
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What is the significance of rare species in diversity ordering?

Rare species can skew diversity indices and affect the ranking of communities.

15
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What does Hill’s diversity represent?

It represents the effective number of species based on Rényi diversity.

16
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What happens to the interpretation of diversity when applying Hill’s diversity?

It tends to converge the curves making it harder to distinguish between communities.

17
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What is the formula for the Hill number Nα?

Nα = e^(Hα) where Hα is the Rényi diversity.

18
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How is the Rényi diversity index articulated?

Hα = ln(∑(p_i^α)) / (1 - α) with 0 ≤ α and α ≠ 1.

19
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For α = 0, what does H0 represent?

H0 = ln(S), which is the logarithm of the number of species.

20
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For α → 1, what does H1 equal?

H1 = H, the Shannon diversity.

21
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What does significant overlap in diversity profiles signify?

Difficulties in ranking communities based on diversity.

22
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In the case study by Tóthmérész & Magura, which type of community is more diverse for rare species?

The native forest is more diverse for rare species.

23
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What are the two main families of diversity ordering methods?

Information-related methods and expected number of species-related methods.

24
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What does the formula H(a) indicate?

It includes different diversity types depending on the parameter a.

25
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What challenges arise with using Hill’s index?

They can push curves closer, making distinguishing between them harder.

26
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In diversity profiles, what does a faster decline indicate?

It indicates a less even community.

27
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What community comparison is highlighted in the course materials?

Community C is more diverse than communities A and B.

28
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What does the generalized entropy measure?

It measures diversity using different scale parameters and their impacts.

29
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Why are diversity indices like Shannon and Simpson important?

They provide metrics for comparing biodiversity levels across different communities.

30
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What implication does the presence of dominant species have on community diversity?

Dominant species may enhance certain diversity indices, obscuring overall diversity trends.

31
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What does an effective number of species help clarify?

It aids in understanding the ecological balance and diversity without being skewed by dominance.

32
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What role does software like R and RStudio play in biodiversity studies?

They are used for statistical analysis and graphical representation of diversity profiles.