JOURNAL ARTICLE
Alpha and beta‐diversity and community structure of dung beetle assemblages in an East African protected savannah.
Published In: African Journal of Ecology, 2024, v. 62, n. 3. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Lado, Thomas Francis; Stephen, Abusala Albano; Jibi, Wani Felix; Moilinga, Pasquale T. 3 of 3
Abstract
Few studies have examined how dung beetle species composition changes across several mammalian dung types. Species composition and abundance of dung beetles were studied in dung samples of seven African mammals along animal trails and using 14 baited‐pitfall traps in both the park and the buffer zone resulting in a combined data set of 113 samples. Both the number of species (18) and the number of individual dung beetles (600) encountered were low for an area close to the Equator. Few species (2) and herbivores (13) tunnellers (9) dominated the dung beetles community, feeding and guild structure respectively. Alpha diversity was moderate 2.06 (1 < H′ ≤ 3). Beta diversity ranged from low 0.8 (high similarity) to high (zero, no similarity). Dung beetle species composition varied with dung type with the degree of pairwise similarity between two dung types in 19 of the total (21) dung beetle communities comparisons showing low similarity (0.4) to no similarity (zero). The observed discrepancies may be attributed to dung size, composition and consistency as well as to the low number of dung of the different animal species sampled. Furthermore, further research is needed as rarefaction curves suggest that sampling was incomplete. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:African Journal of Ecology. 2024/09, Vol. 62, Issue 3, p1
- Document Type:Article
- Subject Area:Zoology
- Publication Date:2024
- ISSN:0141-6707
- DOI:10.1111/aje.13299
- Accession Number:180044230
- Copyright Statement:Copyright of African Journal of Ecology is the property of Wiley-Blackwell 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.)
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