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| label4 = DataOwner | data4 = Ecosystem simulation (EwE) | | label4 = DataOwner | data4 = Ecosystem simulation (EwE) | ||
| header10 = Values | | header10 = Values | ||
| data11 = Very Low | | data11 = Very Low | ||
| data12 = Low | | data12 = Low | ||
| data13 = Medium | | data13 = Medium | ||
| data14 = High | | data14 = High | ||
| data15 = Very High | | data15 = Very High | ||
| data16 = Extreme | | data16 = Extreme | ||
}} | }} |
Revision as of 11:55, 14 April 2018
Layer Info | |
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Category | Biodiversity indicator |
Editable | No |
DataOwner | Ecosystem simulation (EwE) |
Values | |
Very Low | |
Low | |
Medium | |
High | |
Very High | |
Extreme |
Description:
The Shannon index has been a popular diversity index in the ecological literature, where it is also known as Shannon's diversity index, the Shannon–Wiener index, the Shannon–Weaver index and the Shannon entropy. A diversity index is a quantitative measure that reflects how many different types (such as species) there are in a dataset (a community), and simultaneously takes into account how evenly the basic entities (such as individuals) are distributed among those types.
Typical values are generally between 1.5 and 3.5 in most ecological studies, and the index is rarely greater than 4. The Shannon index increases as both the richness and the evenness of the community increase.
MSP Challenge 2050:
The Shannon Diversity Indicator a month-by-month, computer generated data layer following calculations made by the ecosystem simulation (EwE).
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