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Shannon Weaver Diversity Index Calculator

Shannon-Weaver Diversity Index:

\[ H = -\sum (p_i \ln(p_i)) \]

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1. What is the Shannon-Weaver Diversity Index?

The Shannon-Weaver Diversity Index (H) is a measure of species diversity in a community. It accounts for both species richness (number of species) and evenness (distribution of individuals among species). Higher values indicate greater diversity.

2. How Does the Calculator Work?

The calculator uses the Shannon-Weaver formula:

\[ H = -\sum (p_i \ln(p_i)) \]

Where:

Explanation: The index increases as both the number of species and the evenness of their proportions increase.

3. Importance of Diversity Index Calculation

Details: The Shannon-Weaver index is widely used in ecology, environmental science, and conservation biology to assess biodiversity, monitor ecosystem health, and evaluate the impact of environmental changes.

4. Using the Calculator

Tips: Enter species proportions as comma-separated values (e.g., 0.2,0.3,0.5). All proportions must be between 0 and 1, and the sum must equal 1.

5. Frequently Asked Questions (FAQ)

Q1: What is a good Shannon-Weaver index value?
A: Values typically range from 0 to 4-5. Higher values indicate greater diversity. Values below 1.5 indicate low diversity, 1.5-3.5 moderate diversity, and above 3.5 high diversity.

Q2: How does this differ from Simpson's diversity index?
A: Shannon-Weaver is more sensitive to species richness, while Simpson's is more influenced by dominant species. Both provide complementary information about diversity.

Q3: Can I use this for non-biological data?
A: Yes, the Shannon-Weaver index can be applied to any data where you want to measure the diversity or uncertainty in a distribution, such as in information theory.

Q4: What if my proportions don't sum to exactly 1?
A: The calculator requires proportions to sum to 1 (within a small tolerance). You may need to normalize your data before input.

Q5: How should I interpret the results?
A: Compare the index value with other communities or track changes over time. Higher values indicate more diverse and stable ecosystems.

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