IDEAS home Printed from https://ideas.repec.org/a/etm/ijsrst/v12y2025i3id964.html

A Rapid Assessment of Alpha Diversity by Use of Shannon Diversity Index-A Statistical Tool

Author

Listed:
  • Shivali Kharoliwal
  • Surabhi Shrivastava

Abstract

The Shannon index is an information statistic index, which means it assumes all species are represented in a sample and that they are randomly sampled. Species richness, evenness, and diversity are used to compare different populations(Magurran, A. E. 2004.). This index quantifies the diversity of a community by considering both the number of species (species richness) and the evenness of their distribution(Species richness).Biodiversity indices can help prioritize conservation efforts by identifying areas of high biodiversity importance and species in need of protection(Simpson E.H. 1949) .They can also be used to assess the effectiveness of conservation and restoration projects, such as habitat restoration or invasive species management. In the present study Shannon-Weiner Species Diversity Index (H) was used to calculate biodiversity for site 1 and for site 2 in University Campus Kota Rajasthan India.Higher the value of H in site 1, indicated higher the diversity of tree species in that area .

Suggested Citation

  • Shivali Kharoliwal & Surabhi Shrivastava, 2025. "A Rapid Assessment of Alpha Diversity by Use of Shannon Diversity Index-A Statistical Tool," International Journal of Scientific Research in Science and Technology, Technoscience Academy, vol. 12(3), pages 1378-1384, June.
  • Handle: RePEc:etm:ijsrst:v12:y2025:i3:id:964
    DOI: 10.32628/IJSRST25123154
    as

    Download full text from publisher

    File URL: https://ijsrst.com/home/article/view/IJSRST25123154
    File Function: Abstract page
    Download Restriction: no

    File URL: https://ijsrst.com/home/article/download/IJSRST25123154/IJSRST25123154
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32628/IJSRST25123154?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:etm:ijsrst:v12:y2025:i3:id:964. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (email available below). General contact details of provider: https://ijsrst.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.