John Gichimu Mbaka

Impacts of Benthic Coarse Particulate Organic Matter variations on Macroinvertebrate Density and Diversity in the Njoro River, A Kenyan Highland Stream

ABSTRACT An investigation to assess the relationship between coarse particulate organic matter (CPOM) and macroinvertebrate communities was undertaken in the Njoro River, Kenya during 2010. Significantly lower macroinvertebrate densities and diversities were observed in study sites with low Coarse Particulate Organic Matter (CPOM) content. The Mugo study site had the highest CPOM content and macroinvertebrate density and diversity. The unidentifiable detritus category (i.e. small CPOM fragments) had the highest influence on macroinvertebrate taxa whereas twigs had the least influence. The benthic samples were dominated by detritivores, but no shredders were recorded. Our results suggest that CPOM is an important determinant of the macroinvertebrate assemblages in streams. Given this, we believe that it is important to conserve tropical stream riparian vegetation due to their important role as a source of CPOM in streams.

Methane-Derived Carbon in the Benthic Food Web in Stream Impoundments

Methane gas (CH4) has been identified as an important alternative source of carbon and energy in some freshwater food webs. CH4 is oxidized by methane oxidizing bacteria (MOB), and subsequently utilized by chironomid larvae, which may exhibit low δ13C values. This has been shown for chironomid larvae collected from lakes, streams and backwater pools. However, the relationship between CH4 concentrations and δ13C values of chironomid larvae for in-stream impoundments is unknown. CH4 concentrations were measured in eleven in-stream impoundments located in the Queich River catchment area, South-western Germany. Furthermore, the δ13C values of two subfamilies of chironomid larvae (i.e. Chironomini and Tanypodinae) were determined and correlated with CH4 concentrations. Chironomini larvae had lower mean δ13C values (−29.2 to −25.5 ‰), than Tanypodinae larvae (−26.9 to −25.3 ‰). No significant relationships were established between CH4 concentrations and δ13C values of chironomids (p>0.05). Mean δ13C values of chironomid larvae (mean: −26.8‰, range: −29.2‰ to −25.3‰) were similar to those of sedimentary organic matter (SOM) (mean: −28.4‰, range: −29.3‰ to −27.1‰) and tree leaf litter (mean: −29.8 ‰, range: −30.5‰ to −29.1‰). We suggest that CH4 concentration has limited influence on the benthic food web in stream impoundments.

Water and habitat quality assessment in the Honi and Naro Moru rivers, Kenya, using benthic macroinvertebrate assemblages and qualitative habitat scores

An assessment of water and habitat quality, based on macroinvertebrate assemblage indices and qualitative habitat scores (QHS), was undertaken in the Honi and Naro Moru rivers, Kenya, in 2011. The two rivers are important as water sources for the local communities and as habitat for organisms such as invertebrates in the national parks there. The Naro Moru upstream site (QHS: 83%) is unmodified, with minimal human influence. The Honi downstream site and the Naro Moru midstream and downstream sites experienced moderate to large modifications in habitat and biota (QHS: 40–80%). South African scoring system (SASS) scores ranged from 43 (Naro Moru downstream) to 165 (Honi upstream), and there was a decrease in SASS scores with distance downstream. Based on the multimetric index (MI), the Honi and Naro Moru upstream and midstream sites have good water quality (MI: 0.6–0.8), whereas the Honi midstream and downstream sites, and the Naro Moru downstream site, have moderate water quality (MI: 0.4–0.6). Human activities had a negative effect on water quality and habitats. Preventive and conservation measures should be taken in the usage of the Naro Moru and Honi rivers.

EFFECT OF SIEVE MESH SIZE ON THE ESTIMATION OF BENTHIC INVERTEBRATE ABUNDANCE AND COMPOSITION IN THE HONI RIVER, KENYA

ABSTRACT Characterisation of benthic invertebrate communities, taxonomic abundance and composition provides information that is used during river bioassessment. However, the mesh size of the sieves used during processing of invertebrate samples may affect the estimation of taxonomic abundance and composition. In the current study, the effect of sieve mesh size (>0.5 and <0.5 mm) on the estimation of invertebrate taxonomic abundance and composition was tested in the Honi River (Kenya) in 2011. The abundance of invertebrates retained by the >0.5 mm mesh sieve was significantly (p <0.05) lower than that found in the total sample. At the Honi River midstream site, most invertebrates (85%) belonged to the <0.5 mm fraction and were dominated by chironomids. Hydracarina and ostracods were only found in the <0.5 mm fraction of invertebrates. This study shows that sieve mesh size should be taken into consideration when characterising benthic invertebrates in rivers where invertebrate taxa are unknown and with high abundances of small sized invertebrates.

Invertebrate Drift Densities in the Njoro and Kamweti Rivers in the Kenyan Highlands that Differ in the Level of Anthropogenic Disturbances

Invertebrate drift is one of several fundamental ecological processes in streams. However, little is known about the dynamics of invertebrate drift in Kenyan streams. In this study, we assessed invertebrate drift in two rivers, i.e. Njoro and Kamweti, that differ in the level of anthropogenic disturbances, between February and March, 2016. The aim was to evaluate the effect of river sampling duration (5, 10, 15, 20 and 25 min) and sampling period (day or night) on invertebrate drift densities. The 5-minute sampling period resulted in significantly higher mean drift densities than the other time intervals in both rivers. The highest mean drift density (2.0 ± 0.9 individuals m-3) was recorded at the Njoro River during the day, whereas the lowest drift density (0.3 ± 0.2 individuals m-3) was recorded at the Kamweti River during the day. A strong nocturnal drift pattern was noted at the less disturbed river (Kamweti). The present results suggest that anthropogenic perturbations influence invertebrate drift densities, and sampling duration and sampling period are important factors to consider when sampling invertebrate drift.

Effect of drift sampler exposure time and net mesh size on invertebrate drift density in the Njoro River, Kenya

Although invertebrate drift is an important ecological process in lotic ecosystems, very little is known about it in Kenyan rivers. The primary aim of this study was to investigate the effect of driftnet mesh size and exposure duration on drift density in 2017. Drift samples were dominated by Chironomidae, Baetidae, Simuliidae, Caenidae and Culicidae. The 100 µm mesh driftnet had the highest mean invertebrate density, followed by the 250 µm and 500 µm nets. Invertebrate drift densities decreased with increased exposure time. This study demonstrates that sampler mesh size and exposure time should be taken into account when characterising invertebrate drift in streams. Future studies should consider sampling different biotopes and during different seasons.

Does the Exclusion of Meiofauna Affect the Estimation of Biotic Indices Using Stream Invertebrates

Biomonitoring of rivers is usually undertaken using information based on macroinvertebrate assemblages. However, exclusion of meiofauna (i.e. invertebrates less than 0.5 mm in size) when sorting benthic invertebrates can affect the estimation of densities and other biotic indices. In the present study, the effect of excluding the less than 0.5 mm fraction of invertebrates on estimation of benthic invertebrate indices was investigated in the Naro Moru River, Kenya. The Shannon—Wiener diversity index, Pielous evenness index, a multimetric index, Simpsons diversity index, Margalefs diversity index, mean invertebrate density, taxa richness, and Ephemeroptera, Plecoptera and Trichoptera (EPT) densities were determined. Only mean invertebrate and EPT densities differed significantly between the greater than 0.5 mm and total fractions. In conclusion, exclusion of meiofauna from invertebrate samples can affect the estimation of some stream invertebrate biotic indices.