Abstract

Planktonic organisms are the main biotic components of the food chain of aquatic ecosystems. Little is known about the impact of multiple stressors on plankton community response in mining areas. This study aimed to elucidate the alpha diversity of zooplankton and phytoplankton in different stream networks associated with mining activities in the Molore watershed, Southeast Sulawesi. The research was carried out by taking samples for water quality and plankton analyses in four streams in November 2021 and November 2022. A rarefaction curve approach was used to assess the species richness and diversity trends of the region. Streams were clustered using the Bray-Curtis similarity index of alpha diversity indices, such as the Shannon-Wiener, Simpson, Margalef, Pielou, and Berger-Parker indices. We found six species of zooplankton only in three sites and 21 species of Phytoplankton in the class of Bacillariophyceae, Chlorophyceae, Cyanophyceae, Dinophyceae, and Euglenophyceae across the landscape gradient. The present study showed that the lowest value of the Shannon-Wiener diversity of the plankton community was 0.48, while the maximum expected value based on individuals’ rarefaction curve was 2.24. Species richness is in line with cluster analysis, which shows the similarity of stream groups according to the level of environmental pressure, indicating a valuable ecological indicator for stream management.

Details

Title
Alpha diversity of planktonic organisms across stream networks associated with mining activities in Southeast Sulawesi
Author
Nasaruddin, N 1 ; Usman, I 2 

 Department of Biology, Faculty of Mathematics and Natural Sciences, Halu Oleo University , Jl. H. Eddy Agussalim Mokodompit, Kendari, Southeast Sulawesi, Indonesia 93232 
 Department of Physics, Faculty of Mathematics and Natural Sciences, Halu Oleo University , Jl. H. Eddy Agussalim Mokodompit, Kendari, Southeast Sulawesi, Indonesia 93232 
First page
012007
Publication year
2023
Publication date
Dec 2023
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2906310278
Copyright
Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.