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<title>School of Agriculture and Natural Resources Management</title>
<link>http://localhost:8080/xmlui/handle/123456789/8</link>
<description/>
<pubDate>Wed, 12 Aug 2026 15:37:31 GMT</pubDate>
<dc:date>2026-08-12T15:37:31Z</dc:date>
<item>
<title>Distribution of organochlorine pesticides in macroinvertebrate functional feeding guild (FFG) of predators, Rhagovelia spp. in a tropical estuarine ecosystem</title>
<link>http://localhost:8080/xmlui/handle/123456789/12815</link>
<description>Distribution of organochlorine pesticides in macroinvertebrate functional feeding guild (FFG) of predators, Rhagovelia spp. in a tropical estuarine ecosystem
Nyakeya, Kobingi; Onchieku, James; Masese, Frank Onderi; Gichana, Zipporah Moraa; Nyamora, Jane  Moraa; Getabu, Albert; Gitonga, Lydiah
The current world population stands at approximately 8.5 billion people and this number is likely to&#13;
shoot up in the coming decades. This increased trend in world population demands for sufficient food,&#13;
&#13;
which calls for, improved agricultural production systems. In order to achieve this, a tremendous in-&#13;
crease in pesticide application of about 30-40% has been documented and this trend is predicted to&#13;
&#13;
increase in the coming years. Due to their negative impacts to the environment, some pesticides main-&#13;
ly those of organochlorines (OCPs) have since been banned, but their residues can still be detected in&#13;
&#13;
different media causing deleterious effects on organisms. The aim of this study, therefore, was to assess&#13;
the distribution of organochlorine pesticides (OCPs) by aquatic macroinvertebrates FFG of Rhagovelia&#13;
&#13;
spp. in the tropical estuarine ecosystems of South Coast, Kenya. Twelve sampling stations were purpo-&#13;
sively identified taking into considerations different hydrological and ecological factors. Rhagovelia spp.&#13;
&#13;
were sampled using established methods and analysis for OCPs detection were performed using a TSQ&#13;
&#13;
Vantage Triple-Stage Quadrupole Mass Spectrophotometer (Thermo Electron) equipped with a heat-&#13;
ed electrospray ionization probe (HESI-II). Separation, detection, identification and quantification of tar-&#13;
get analyses followed the same established methods. Sixteen OCPs were recorded in Rhagovelia spp.&#13;
&#13;
samples collected from all the 12 sampling stations. γ-HCH was the lowest (2.74 0.18 ng g-1 dw) recorded&#13;
concentration value for OCPs from Rhagovelia species samples whereas OCPs Cis_chlordan, mirex,&#13;
p,p’_DDT, p,p’_DDE, o,p’_DDE and HCH recorded 10.09 0.35 ng g-1 dw, being the highest registered value.&#13;
Analysis of variance (ANOVA) on the mean concentration residues of OCPs in Rhagovelia spp. samples&#13;
yielded a significant variation among the sampled stations (F = 77.79, df = 11, p &lt; 2.2e-16). The statistical&#13;
&#13;
analysis revealed that each station played a crucial role in determining the levels of OCPs in Rhagove-&#13;
lia spp. due to environmental factors, early life history strategies of the tested bioassay organism, and&#13;
&#13;
different sources of OCPs as influenced by anthropogenic activities. The study recommends for&#13;
&#13;
the application of macroinvertebrate FFG of Rhagovelia spp. in biomonitoring of estuarian eco-&#13;
systems. The study also recommends the use of different FFGs of macroinvertebrates such as&#13;
&#13;
grazers, collector-gatherers, filterers and shredders in order to bring out the general behavior&#13;
of these pesticides along the food web.
</description>
<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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<dc:date>2025-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>Analyzing Spatial-temporal Variation in Water Quality Parameters in South Coast Estuarine Ecosystem, Kenya</title>
<link>http://localhost:8080/xmlui/handle/123456789/12812</link>
<description>Analyzing Spatial-temporal Variation in Water Quality Parameters in South Coast Estuarine Ecosystem, Kenya
Nyakeya, Kobingi; Onchieku, James; Masese, Frank; Gichana, Zipporah; Getabu, Albert; Nyamora, Jane
Estuarine ecosystems are classified as among the most productive systems on the planet earth&#13;
supporting an array of biodiversity. However, due to the ever increasing human population, they&#13;
experience environmental degradation originating from intensive anthropogenic activities hence the&#13;
need for regular assessment and monitoring to inform its management. The purpose of this study,&#13;
Original Research Article&#13;
&#13;
Nyakeya et al.; Int. J. Environ. Clim. Change, vol. 14, no. 10, pp. 46-57, 2024; Article no.IJECC.121848&#13;
&#13;
47&#13;
&#13;
therefore, was to analyze the spatio-temporal variation in water quality parameters in South Coast&#13;
estuarine ecosystem, Kenya. Twelve sampling stations were identified based on different&#13;
hydrological regimes, anthropogenic activities, and accessibility factors. Sampling was done for 12&#13;
months taking into account different seasons of the year. Such parameters as temperature,&#13;
dissolved oxygen, pH, conductivity, salinity and TDS were collected in situ using YSI Multiparameter&#13;
meter (Professional plus) whereas nutrients (nitrates, phosphates and ammonia) were analyzed in&#13;
the laboratory using established methods. Two-way analysis of variance (ANOVA) was applied to&#13;
discriminate any significant differences among stations and between seasons, and where there was&#13;
a difference, Tukey post hoc test was applied to show which site differed from each other. Principal&#13;
Component Analysis (PCA) was performed to correlate the environmental factors with sampling&#13;
sites, and months. There was significant difference in water quality parameters among the sampling&#13;
&#13;
stations (P = .05) that was attributed mainly to anthropogenic activities, and both the point and non-&#13;
point sources of pollution. Conversely, there was no significant difference in most of the water&#13;
&#13;
quality attributes in terms of seasons due to unpredictable weather patterns associated with climate&#13;
change. There is need for long term monitoring strategies in order to generate sufficient data for&#13;
sound management of South Coast estuary in Kenya. The study further recommends for community&#13;
sensitization and implementation of relevant policies on the protection and management of riparian&#13;
land.
</description>
<pubDate>Wed, 18 Sep 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/12812</guid>
<dc:date>2024-09-18T00:00:00Z</dc:date>
</item>
<item>
<title>Trends in Water Quality in a Tropical Kenyan River-estuary System: Responses to Anthropogenic Activities</title>
<link>http://localhost:8080/xmlui/handle/123456789/12811</link>
<description>Trends in Water Quality in a Tropical Kenyan River-estuary System: Responses to Anthropogenic Activities
Nyakeya, Kobingi; Onchieku, James; Masese, Frank; Gichana, Zipporah; Nyamora, Jane
Aims: To determine the spatial variation in physico-chemical water quality attributes in estuarine ecosystems of South Coast Kenya to inform its management.&#13;
Study Design: We employed diagnostic research design where such factors as anthropogenic activities, hydrology, and accessibility were considered in choosing 12 sampling stations. A mixed sampling design (probability and non-probability) was used to sample. Original Research Article&#13;
&#13;
Nyakeya et al.; Asian J. Biol., vol. 20, no. 6, pp. 34-51, 2024; Article no.AJOB.116841&#13;
&#13;
35 Place and Duration of Study: Four discharging rivers into estuarine system with a reference point were identified. 12 sampling points were earmarked and sampled for 12 months.&#13;
Methodology: Nine selected water quality parameters were collected in triplicates monthly for 12&#13;
months. Temperature, dissolved oxygen, pH, conductivity, salinity and TDS were collected in situ&#13;
using YSI Multiparameter meter (Professional plus) while nutrients were analyzed in the laboratory&#13;
calorimetrically. Data was tested for normality and homogeneity of variances using Levene's and&#13;
Shapiro-Wilk tests. Two-way analysis of variance (ANOVA), and Principal Component Analysis (PCA) were done using the 64-bit R Software version 4.3.0 to test for significant differences and correlate the parameters among the sampling sites respectively. Observed differences were&#13;
considered statistically significant at P &lt; 0.05.&#13;
Results: The measured environmental variables differed significantly among the sampling stations&#13;
(P &lt; 0.05). temperature and salinity exhibited moderate to strong effect on water quality, while pH&#13;
and nutrients (phosphates, nitrates, and ammonia) exhibited mixed effects with both negative and&#13;
positive loadings on the Principal Components. It is demonstrated that the south coast estuary,&#13;
Kenya is affected by two gradients: mineralization from the sea and the organic matter gradient at&#13;
the upstream stations dominated by the fluvial inflows from the respective rivers.&#13;
Conclusion: The south coast of Kenya estuary is impacted by natural processes and&#13;
anthropogenic activities. we recommend for continued regular water quality assessment and monitoring to acquire sufficient data to shape policy frameworks towards its sustainable&#13;
management.
</description>
<pubDate>Sun, 05 May 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/12811</guid>
<dc:date>2024-05-05T00:00:00Z</dc:date>
</item>
<item>
<title>Seasonal variations of water quality parameters and their effect on the phytoplankton  along a salinity in the Lake Naivasha-Oloiden</title>
<link>http://localhost:8080/xmlui/handle/123456789/12343</link>
<description>Seasonal variations of water quality parameters and their effect on the phytoplankton  along a salinity in the Lake Naivasha-Oloiden
Guto, Kerubo Carolyne; Njiru, Murithi James; Getabu, Albert; Gichana, Moraa Zipporah
Lake Naivasha and Lake Oloiden merged leading to the formation of an estuary. This occurrence &#13;
may affect the water quality and phytoplankton. A study was conducted with the objective: to &#13;
investigate seasonal changes in the water quality parameters and their effect on phytoplankton. &#13;
Depth and secchi depth were measured while some water quality parameters were measured in &#13;
situ using YSI Multiparameter meter and water samples were collected for laboratory analysis of &#13;
chlorophyll-a, phosphates, nitrates and total suspended solids. Phytoplankton sample was &#13;
collected; identification and counting were done under a compound microscope. The nutrients, &#13;
depth, secchi depth, temperature, dissolved oxygen, salinity, conductivity, total dissolved solids &#13;
and pH varied monthly. All the water quality parameters positively correlated with Chlorophyceae &#13;
in Lakes Naivasha and Oloiden except dissolved oxygen, chlorophyll-a, depth and secchi depth &#13;
that negatively correlated. There were seasonal changes in all the water quality parameters in Lakes &#13;
Naivasha and Oloiden except the total suspended solids whose effects were in Midlake There were &#13;
seasonal changes in all the water quality parameters in Lakes Naivasha and Oloiden except the &#13;
total suspended solids whose effects were only in Midlake and Oloiden ST2. Euglenophyceae, &#13;
Bacillariophyceae were not affected by water quality except the depth while the other families had &#13;
varied effects from water quality in Lake Naivasha. All Lake Oloiden's phytoplankton families had &#13;
varied effects from the water quality. Thus, the prevailing water quality affect phytoplankton.
</description>
<pubDate>Mon, 27 Nov 2023 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/12343</guid>
<dc:date>2023-11-27T00:00:00Z</dc:date>
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