Influence of selected biotopes on chironomid-based bioassessment of the Swartkops River, Eastern Cape, South Africa
Influence of selected biotopes on chironomid-based bioassessment
of the Swartkops River, Eastern Cape, South Africa
ON Odume1*, CG Palmer1, FO Arimoro2 and PK Mensah1
Unilever Centre for Environmental Water Quality, Institute for Water Research, Rhodes University, P.O Box 94, Grahamstown, South Africa
2
Department of Biological Sciences, Federal University of Technology, P.M.B 65, Minna, Nigeria
1
ABSTRACT
Impact of pollution on aquatic biota is usually assessed by comparing the assemblage at an impacted site with those at
a control or reference site. In South Africa, except in rivers where not all biotopes are represented, the characterisation
of a macroinvertebrate-based pollution effect is usually based on samples collected from three distinct biotopes, i.e.,
stones, vegetation and sediments. In this study, the influence of reducing the numbers of biotopes on chironomid-based
bioassessment of pollution in the Swartkops River was investigated. This paper addresses the following questions: (i) can
the chironomid species assemblage from any single distinct biotope analysed separately provide sufficiently accurate results
similar to those of the composite-biotope group assemblage, and (ii) can chironomid community types be identified based
on their biotope preferences? Chironomid larvae were sampled seasonally from three distinct biotopes: stones (stone-inand-out-of-current), vegetation (marginal and aquatic), and sediment (gravel, sand and mud, GSM) at one upstream control
site, i.e., Site 1, and three downstream sites, i.e., Sites 2, 3 and 4. Site 2 in Uitenhage was impacted by diffuse pollution
sources including runoff from road networks. Site 3, also in Uitenhage, was impacted by wastewater effluent discharges
as well as diffuse pollution sources, while Site 4 in Despatch was about 2.5 km downstream of Site 3. The multivariate
analysis of similarity (ANOSIM) indicated that the chironomid species assemblages based on the composite biotopes were
significantly different between all site pairs in terms of species composition and abundance. However, when the assemblages
were analysed separately for each of the three distinct biotopes, only the stone-based assemblage indicated significant
differences between all of the site pairs similarly to those of the composite biotopes. Thus, the results suggest that, when
resources are limited, sampling only the stony benthos could still provide bioassessment results similar to benthos from all
three biotopes combined.
Keywords: bioindicators, biotopes, chironomid, pollution, Swartkops River, South Africa.
* To whom all correspondence should be addressed.
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Received 4 April 2014; accepted in revised form 5 March 2015
the structure and distribution of chironomid assemblages
(Príncipe et al., 2008; Rosa et al., 2011).
In South Africa, Dallas (2007) characterised the relationship between biotopes and macroinvertebrates in selected rivers
and found that differences exist between macroinvertebrate
assemblages collected from different biotopes within the same
river. However, the Dallas (2007) study was based on familylevel taxonomic resolution and all species within the family
Chironomidae were lumped together as one taxon, thereby
obscuring the potential influence of biotopes on chironomid
species-based bioassessment. Thus, the extent to which biotope
availability could influence chironomid species-based bioassessment of stream pollution is yet to be characterised in any
South African stream or river.
With the exception of rivers and streams where not all
three distinct biotopes, i.e. stones, vegetation and sediments,
are represented, macroinvertebrate-based bioassessment of
South African lotic ecosystems is often undertaken by sampling all three distinct biotopes, and the overall health of the
river calculated based on the collected assemblages (Dickens
and Graham, 2002; Odume and Muller, 2011). Since impact of
perturbation on aquatic biota is usually assessed by comparing
the assemblage structure of an impacted site with a reference
or control site (Karr and Chu 2000, Bonada et al. 2006, Odume
et al. 2012), it is important to investigate whether assemblage
based on any single biotope can provide similar discrimination
between the reference and impacted sites as assemblages based
on the combination of all three distinct biotopes. If the assemblage based on any of the biotopes can provide similar results
as those of all biotopes combined, then, in the face of limited
resources, sampling can be restricted to such a biotope.
http://dx.doi.org/10.4314/wsa.v41i3.06
Available on website http://www.wrc.org.za
ISSN 1816-7950 (On-line) = Water SA Vol. 41 No. 3 April 2015
Published under a Creative Commons Attribution Licence
343
INTRODUCTION
The biophysical habitat structures such as available biotopes
are among the important factors that could potentially
influence bioassessment of aquatic pollution (Dallas, 2007).
Aquatic ecosystems with diverse and complex habitat structures are likely to support more biodiversity than systems
with less habitat complexity and diversity (Lencioni and
Rossaro, 2005; Epele et al., 2012). Consequently, bioassessment protocols usually include biophysical habitat assessment
to aid the interpretation of results (e.g. Barbour et al., 1999;
Dickens and Graham, 2002).
Chironomids have potential for bioassessment of stream
pollution because of their high species diversity and wide
tolerance to different types and levels of pollutants (Armitage
et al., 1995; Cranston, 1996; Ferrington, 2008; Odume and
Muller, 2011). A review of chironomid global diversity revealed
that 4 147 species in 339 genera are unambiguously aquatic in
their immature stages (Ferrington 2008). Chironomid larvae
occur in most aquatic habitats, inhabit all available biotopes,
and dominate the abundance and species richness of macroinvertebrate samples taken from most freshwater ecosystems (Harrison, 2003, Ferrington, 2008). At the reach scale in
freshwater ecosystems, available biotopes, i.e. microhabitats,
can influence chironomid distribution and species diversity
(Syrovátka et al., 2009; Epele et al., 2012). Consequently, studies
elsewhere have investigated the role of biotopes in determining
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Thus, this paper addresses the following questions:
Can the chironomid species assemblage from any single distinct biotope analysed separately provide a sufficiently accurate result, similar to those of the composite-group species
assemblage? (That is, what is the effect of reducing biotope
number on the utility of Swartkops River chironomid species
assemblage to demonstrate biotic impairment?) ‘Compositegroup’ refers to combined data from all three biotopes.
Can chironomid community types be identified based on
their biotope preferences in the Swartkops River?
Therefore, in this study we investigate whether biotope availability influences chironomid species-based bioassessment of
pollution in the Swartkops River, (...truncated)