Water, Air, & Soil Pollution

, 228:428 | Cite as

Use of Diatom Communities as Indicators of Conductivity and Ionic Composition in a Small Austral Temperate River System

  • Tinotenda Mangadze
  • Ryan J. Wasserman
  • Tatenda Dalu
Article

Abstract

The aim of this study was to determine if benthic diatoms can be used as effective and reliable indicators of ionic composition and conductivity in different stream order categories. Samples were collected on two occasions from 22 sampling sites within the Bloukrans River system, Eastern Cape Province, South Africa. The data collected were subjected to multivariate statistical technique, i.e. CCA, to determine environmental gradients along which the diatom species were distributed as well as to elucidate hypothesised differences in community structure per stream order. Significant differences between the two sampling periods were observed in dissolved oxygen, temperature, Na, B, Ca, Zn, Cu, Cr, K, Fe, phosphate, conductivity, salinity and nitrate, while significant stream order variation was observed for conductivity, salinity, Mg, Ca and sediment nitrates. Study sites were grouped into two broad categories (stream order 1 and 2/3 sites) based on CCA. As pollution increased, low to moderate pollution-tolerant species such as Fragilaria tenera, Cyclostephanos dubius and Gyrosigma acuminatum were replaced by high pollution-tolerant species such as Nitzschia palea, Gomphonema parvulum, Tryblionella apiculata, Diploneis vulgaris and Staurosira elliptica. This shows that diatom assemblages are appropriate indicators of ionic composition/conductivity and hydromorphological characteristics (e.g. stream size) of running waters. The results highlight the importance of creating regional calibration datasets which will make it possible to develop procedures to determine conductivity and ion concentration effects on biota.

Keywords

Benthic biota Diatoms Indicator species Ionic composition River salinisation Stream order Water quality 

Notes

Acknowledgements

We thank Mandla Magoro and Samuel Motitsoe for assistance with field work.

Supplementary material

11270_2017_3610_MOESM1_ESM.pdf (210 kb)
Table S1 The distribution of most frequently occurring diatoms. Abbreviations: * < 1%, ** > 1 to 4.9%, *** > 5 to 9.9% and **** > 10% (PDF 210 kb).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Zoology and EntomologyRhodes UniversityGrahamstownSouth Africa
  2. 2.School of ScienceMonash University MalaysiaBandar SunwayMalaysia
  3. 3.South African Institute for Aquatic BiodiversityGrahamstownSouth Africa

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