JOURNAL ARTICLE

ANALYSIS OF ANGIOSPERM FLORA OF SHOOLPANESHWAR WILDLIFE SANCTUARY, GUJARAT, INDIA.

  • Published In: Journal of Economic & Taxonomic Botany (Scientific Publishers), 2023, v. 47, n. 4. P. 162 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Meena, S. L.; Harikrishna, P.; Deroliya, P. K. 3 of 3

Abstract

The present study documents the Angiosperm species biodiversity of Shoolpaneshwar wildlife sanctuary (SWLS), Gujarat, India in terms of taxonomic categories and looks into the threat by exotic plant invasions towards conservation. There are 983 taxa pertaining to 522 genera from 105 families documented in the sanctuary out of 1,265 field numbers assigned. There are ten threatened taxa and nine endemic taxa. The flora of the sanctuary is more evolved with the phylogenetically advanced clades such as Super Rosids (38.96%) and Super Asterids (35.20%). The Monocots almost constitute one fourth (24.31%) whereas the primitive Basal Angiosperms, Magnoliids and Monocots combined are less than 2%. The Fabaceae are the most dominant family, followed by Poaceae, Asteraceae, Acanthaceae, Euphorbiaceae and Cyperaceae. The top five dominant genera in the sanctuary are Ipomoea, Indigofera, Crotalaria, Cyperus and Alysicarpus. The rich taxonomic diversity of the sanctuary emphasizes the need for conservation efforts to safeguard this unique landscape with its endemics. Efforts are needed to selectively remove or control the dominant invasive weeds which are largely therophytes. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Economic & Taxonomic Botany (Scientific Publishers). 2023/12, Vol. 47, Issue 4, p162
  • Document Type:Article
  • Subject Area:Anatomy and Physiology
  • Publication Date:2023
  • ISSN:0250-9768
  • DOI:10.61080/JETB/V47/i4/2023/162-170
  • Accession Number:175428384
  • Copyright Statement:Copyright of Journal of Economic & Taxonomic Botany (Scientific Publishers) is the property of Scientific Publishers India and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.