<?xml version="1.0" encoding="UTF-8"?>
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<title>School of Environmental Science and Natural Resource Management</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/15" rel="alternate"/>
<subtitle/>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/15</id>
<updated>2026-06-15T02:25:30Z</updated>
<dc:date>2026-06-15T02:25:30Z</dc:date>
<entry>
<title>ASPECTS  CONSERVATION BIOLOGY OF GREY CROWNED CRANE (Balearica reguloram, Bennet 1884) AT LAKE OL’ BOLOSSAT, KENYA</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2771" rel="alternate"/>
<author>
<name>WAWERU, MARY</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2771</id>
<updated>2026-06-11T09:00:26Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">ASPECTS  CONSERVATION BIOLOGY OF GREY CROWNED CRANE (Balearica reguloram, Bennet 1884) AT LAKE OL’ BOLOSSAT, KENYA
WAWERU, MARY
The Grey Crowned Crane (GCC) (Balearica regulorum) belongs to the family&#13;
Gruidae, which is among the most threatened of avian taxa due to pressure directed at&#13;
their habitats. Their population is declining at an alarming rate, and it is listed as&#13;
Endangered in the IUCN Red List of Threatened Species. Lake Ol’ Bolossat in&#13;
Nyandarua County, Kenya, is a key stronghold for this species, holding the second&#13;
largest population after western Kenya. This study was carried out between September&#13;
2016 and February 2017 to determine the population size, distribution, nesting&#13;
success, and how human activities impact GCC in and around Lake Ol’ Bolossat,&#13;
which are key strategies to effective conservation of GCC. Line transects were used to&#13;
collect GCC count data, the Mayfield exposure method for nest data, while&#13;
questionnaires were used to collect data on anthropogenic factors. Statistical analyses&#13;
were conducted using R (version 4.3.0) and SPSS v25, while ArcGIS Pro V.3.3.3 was&#13;
used for map preparations. An average of 315 GCC were observed per visit,&#13;
representing a mean density of 3.15 birds/ha. Results showed that GCC were more&#13;
concentrated in the farmland (1.40±0.24 individuals ha -1 ), intermediate in grasslands&#13;
(0.90±0.22 individuals ha -1 ), and lowest in the wetlands (0.17±0.02 individuals ha -1 ).&#13;
Fifteen nests were discovered with an average clutch size of 2.33 eggs/nest, which&#13;
were monitored until the final nest fate was known. The overall nesting success was&#13;
20.72%. Nesting success in Lake Ol’ Bolossat was limited by habitat availability and&#13;
habitat quality in addition to human-related threats, including egg collection and nest&#13;
abandonment by breeding pairs. Human-mediated effects were not significant in the&#13;
conservation of GCC exception of hunting, which was significantly different across&#13;
the 11 villages. For successful conservation of GCC around Lake Ol’ Bolossat, good&#13;
planning is essential to ensure the adoption and implementation of effective&#13;
conservation programs targeting GCC; Lake Ol’ Bolossat and its surrounding habitats&#13;
should be protected, and human access regulated to control resource exploitation and&#13;
enhance its conservation. Since GCC breed during the rainy season, zoning off the&#13;
breeding sites during the breeding season could help improve the chances of a&#13;
successful nesting, alongside advancing strategies and programs that promote&#13;
awareness on conservation while aiding initiatives pro conservation at the community&#13;
level.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>IMPACTS OF ANTHROPOGENIC ACTIVITIES ON BIRDS AND THEIR  HABITATS IN AND AROUND LAKE SOLAI, KENYA</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2757" rel="alternate"/>
<author>
<name>KIMELI, SHARON</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2757</id>
<updated>2026-06-10T06:32:49Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">IMPACTS OF ANTHROPOGENIC ACTIVITIES ON BIRDS AND THEIR  HABITATS IN AND AROUND LAKE SOLAI, KENYA
KIMELI, SHARON
Birds serve as vital indicators of ecosystem health and biodiversity, yet knowledge of their&#13;
distribution, diversity, and threats in habitats surrounding ecosystems such as Lake Solai,&#13;
Nakuru County, Kenya, remains limited. Lake Solai supports a diverse assemblage of&#13;
resident and migratory avifauna but faces increasing anthropogenic pressures, including&#13;
pollution, grazing, agricultural expansion, and urbanization. This study aimed to evaluate&#13;
bird distribution and feeding guilds across habitat types, assess species richness and&#13;
diversity, compare relative bird densities, and identify anthropogenic threats affecting&#13;
avian communities in and around Lake Solai. Field data were collected using point count&#13;
and line transect surveys, generating a comprehensive checklist of bird species that&#13;
included taxonomic identification, habitat associations, IUCN conservation status,&#13;
migratory status, feeding guilds, and forest dependency. Species richness and diversity&#13;
were analyzed using sample-based rarefaction-extrapolation curves (iNEXT platform) and&#13;
the Shannon-Wiener diversity index (H′), with Hutcheson’s t-test evaluating significant&#13;
differences. Sørensen’s similarity index quantified species overlap among habitats, while&#13;
one-way ANOVA compared bird densities. Threat assessments were based on structured&#13;
questionnaires and analyzed using descriptive statistics and Chi-square tests of goodness&#13;
of fit and independence in IBM SPSS software (version 20). Bird species diversity varied&#13;
across habitats, with wetlands and settlements showing the lowest diversity (H′ = 3.723–&#13;
3.774), intermediate diversity in farmlands (H′ = 3.938), and the highest diversity in forests&#13;
and grasslands (H′ = 4.087–4.151). Hutcheson’s t-tests indicated significant differences&#13;
between most habitat pairs, except for forests vs. grasslands and settlements vs. wetlands.&#13;
One-way ANOVA revealed no statistically significant differences in bird density across&#13;
habitats (F = 0.832, df = 4, p = 0.525). Chi-square analysis of reported threats showed&#13;
significant variation in frequency among threat types (χ2 = 296.796, df = 10, p &lt; 0.001). In&#13;
conclusion, bird species diversity in and around Lake Solai is strongly influenced by habitat&#13;
type, whereas density varies with habitat structure and resource availability. Habitat&#13;
degradation, climate change, human disturbance, and pollution were identified as primary&#13;
anthropogenic pressures. Conservation recommendations include the protection and&#13;
restoration of wetlands and forests through formal designation as conservation areas,&#13;
implementation of habitat-based conservation planning, promotion of reforestation and&#13;
catchment protection, pollution control, and community-led habitat monitoring. Integrating&#13;
climate-smart agriculture, environmental education, and participatory management within&#13;
local livelihoods will enhance community ownership and foster long-term ecological&#13;
resilience. Long-term monitoring of avian populations to evaluate the impacts of&#13;
environmental change on biodiversity and maintain ecosystem balance in the Lake Solai&#13;
ecosystem.&#13;
.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>MACROINVERTEBRATE ASSEMBLAGES AND BODY SIZE DISTRIBUTION IN RESPONSE TO LAND-USE CHANGES IN HEADWATER STREAMS OF  THE SONDU-MIRIU RIVER BASIN, KENYA</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2753" rel="alternate"/>
<author>
<name>KULUO, GIDEON</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2753</id>
<updated>2026-06-08T13:04:50Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">MACROINVERTEBRATE ASSEMBLAGES AND BODY SIZE DISTRIBUTION IN RESPONSE TO LAND-USE CHANGES IN HEADWATER STREAMS OF  THE SONDU-MIRIU RIVER BASIN, KENYA
KULUO, GIDEON
Assemblages of aquatic macroinvertebrates have spatial and temporal variations in structure in&#13;
response to environmental changes of their habitats, such as streams and rivers. Taxonomic&#13;
approaches for monitoring the ecological status of aquatic ecosystems using macroinvertebrate&#13;
assemblages face several limitations, creating a need for ataxonomic methods that are valid,&#13;
disturbance-sensitive, and cost-effective for freshwater monitoring. This study evaluated the&#13;
influence of seasonality and land-use changes on macroinvertebrate assemblage structure and water&#13;
physico-chemical parameters of headwater streams of the Sondu-Miriu River basin, Kenya.&#13;
Additionally, the study evaluated the utility of macroinvertebrate size-spectrum metrics and&#13;
abundance-biomass comparison (ABC) curves as ataxonomic methods of evaluating land-use&#13;
influence on the river’s ecological condition. Macroinvertebrate taxonomic abundance&#13;
(individuals/m2), wet weight (mg), and physico-chemical variables were measured during the wet&#13;
and dry seasons in March and September 2024, respectively, from 24 headwater streams distributed&#13;
across four land-use types: natural forest (NF), tea and tree plantations (TTP), smallholder tea&#13;
(SHT), and smallholder agriculture (SHA). Results based on water quality showed turbidity, total&#13;
suspended solids (TSS), total dissolved solids (TDS), electrical conductivity (EC), particulate&#13;
organic matter (POM), and nitrate (NO3&#13;
-&#13;
-N) identified streams in NF as least disturbed and in SHA&#13;
as most disturbed; TTP and SHT streams were intermediate in water quality. Taxon richness,&#13;
diversity, and Ephemeroptera, Plecoptera, and Trichoptera (EPT) indices indicated land-use&#13;
specific influences on assemblage structure. Redundancy analysis (RDA) showed thatsmall-bodied&#13;
taxa (&lt;8 mg wet weight) were associated with high disturbance indicators, while large-bodied taxa&#13;
(&gt;32 mg) were associated with low disturbance indicators and sites. Slopes (λ) of normalized&#13;
abundance- and biomass-based size-spectrum (a measure of trophic transfer efficiency) deviated&#13;
from theoretical steady-state conditions (λ=-2.0 and -1.0, respectively), indicating that the sites&#13;
were disturbed, but the slopes did not vary significantly between land uses or seasons, suggesting&#13;
size-spectrum slopes had low sensitivity to land-use-based changes in water quality. In contrast,&#13;
size-spectrum midpoint heights (a measure of ecosystem production) differed significantly between&#13;
sites, highest at SHT and NF and lowest at SHA and TTP streams. Spectrum midpoint heights were,&#13;
therefore, more responsive to disturbance than slopes, highlighting their potential as indicators of&#13;
land-use influence on the Afrotropical streams. Although the ABC curves indicated undisturbed&#13;
conditions for all sites, Warwick’s (W) statistics revealed subtle differences among streams,&#13;
suggesting variation in local-scale ecological conditions. This study demonstrated that catchment&#13;
land use significantly influences water quality and macroinvertebrate assemblages in headwater&#13;
streams of the Sondu-Miriu River basin. Traditional metrics (%EPT and diversity indices) are&#13;
useful indicators of land use-based disturbance, while size-spectrum midpoint heights are&#13;
potentially useful ataxonomic indicators of disturbance in the studied streams. It is recommended&#13;
to integrate both community indices and functional metrics (especially midpoint height) into stream&#13;
biomonitoring as complementary method for evaluating the ecological status of headwater streams.&#13;
Management efforts should prioritize riparian buffers and nutrient/sediment control in SHA areas&#13;
of the basin, while conserving less-impacted NF sites as reference areas. Long-term and broader&#13;
spatial-scale studies are needed to validate the stability of size-spectrum metrics and ABC curves&#13;
as rapid tools for monitoring the ecological status of headwater streams in response to&#13;
anthropogenic influences.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>THE EFFECT OF EBB-AND-FLOW TECHNOLOGY, SUBSTRATE TYPES AND SALT-TOLERANT CROP (Apium graveolens L.) ON NUTRIENT REMOVAL  FROM A BREWERY EFFLUENT</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2750" rel="alternate"/>
<author>
<name>OBADO, ELIZABETH</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2750</id>
<updated>2026-06-08T12:18:35Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">THE EFFECT OF EBB-AND-FLOW TECHNOLOGY, SUBSTRATE TYPES AND SALT-TOLERANT CROP (Apium graveolens L.) ON NUTRIENT REMOVAL  FROM A BREWERY EFFLUENT
OBADO, ELIZABETH
Brewing industries face economic and environmental challenges of water use, energy&#13;
consumption, and effluent disposal. The limited water availability and strict effluent&#13;
discharge regulations in the South African Brewery justify wastewater treatment and&#13;
recycling. Constructed wetland (CW) design and operation have been optimised for&#13;
sustainable wastewater treatment. An ebb-and-flow technology is a CW design that&#13;
creates aerobic and anaerobic conditions essential for wastewater treatment. South&#13;
African Ibhayi Brewery effluent is treated onsite using a commercial-scale anaerobic&#13;
digester (AD) and activated sludge units. However, the anaerobically digested effluent&#13;
has high treatment costs and does not meet the environmental discharge standards.&#13;
Therefore, the post-AD effluent is further treated using a low-cost CW technology. This&#13;
study investigated the effect of ebb-and-flow CW operation, substrate types and celery&#13;
plant growth on nutrient removal from a post-AD brewery effluent. Two experiments&#13;
were conducted; Experiment 1 examined the effect of retention times (10, 20 and 40&#13;
minutes) and gravel sizes (7, 13, and 19 mm) on nutrient removal. The retention times&#13;
(RT) and gravel sizes were allocated as treatment combinations and replicated thrice in a&#13;
completely randomised design. In the second experiment, an ebb-and-flow CW was used&#13;
to investigate the effect of media types planted with a celery crop on nutrient removal.&#13;
Eight media (clay pebbles, clay bricks, sand, bioballs, recycled plastic, and gravel sizes),&#13;
either alone or mixed, were tested. A 2:1:1 ratio of each media, pine bark and granular&#13;
activated carbon, respectively, was used for mixed treatments. A uniform celery planting&#13;
density of eight seedlings per m 2 and a 12-minute effluent retention time were used.&#13;
Results for experiment 1 indicated significant differences at p≤ 0.05 between RT and&#13;
gravel size treatment combinations on nutrient removal. The 10-minute RT at 19-mm&#13;
gravel achieved the highest reduction in chemical oxygen demand (COD) of 8.2 %, 7.7 %&#13;
ammonia-N and 38 % total inorganic nitrogen removal. The 40-minute RT at 7-mm&#13;
gravel had the highest nitrate-N removal of 18.6 %. Orthophosphate removal was below&#13;
5 % in all treatments. The peak removal for ammonia and total inorganic nitrogen was&#13;
after 8 and 10 weeks, respectively, suggesting that the efficiency of the ebb-and-flow&#13;
design on nutrient removal is time-dependent. The aerobic and anaerobic conditions of&#13;
ebb-and-flow operation, gravel surface area and effluent retention time influence nutrient&#13;
transformation and removal. Results for Experiment 2 indicated significant differences&#13;
between unmixed and mixed media on nutrient removal (p ≤0.05). The unmixed media of&#13;
clay pebbles had the highest mean reduction chemical oxygen demand of 7.5% and 8.1%&#13;
ammonia-N removal. Mixing resulted in better overall mean removal efficiency of nitrite-&#13;
N (7.6%), nitrate-N (15.3%), total inorganic nitrogen (29.9%), orthophosphate (12.7%)&#13;
and plant biomass (11158.5 gm -2 ) than unmixed media. Media porosity, surface area,&#13;
chemical composition and celery plant growth enhanced nutrient removal through&#13;
synergistic interactions. Experiment 1 recommends a short effluent retention time of 10&#13;
minutes on 19-mm gravel for improved nutrient removal in the ebb-and-flow system&#13;
design. Experiment 2 recommends unmixed clay pebbles, bioballs, and 19-mm gravel forimproved ammonia-N removal and mixed media for multiple pollutant removal and&#13;
celery productivity in the ebb-and-flow constructed wetland.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>CROP DAMAGE BY GREY CROWNED CRANE (Balearica regulorum) ON  FARMS IN UASIN GISHU COUNTY, KENYA</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2743" rel="alternate"/>
<author>
<name>KITUI, VIVIAN</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2743</id>
<updated>2026-06-08T09:07:50Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">CROP DAMAGE BY GREY CROWNED CRANE (Balearica regulorum) ON  FARMS IN UASIN GISHU COUNTY, KENYA
KITUI, VIVIAN
Continued loss and degradation of natural habitats force wildlife species to extend their&#13;
habitats into farmlands and human-dominated landscapes. The Grey Crowned Crane&#13;
(Balearica regulorum), classified as endangered, is increasingly found foraging in&#13;
agricultural landscapes due to ongoing habitat loss, raising concerns about crop damage&#13;
and its effects on local livelihoods and species conservation. This study examined the&#13;
extent, types, and economic impact of crop damage caused by Grey Crowned Cranes&#13;
in Uasin Gishu County, Kenya, a key region for national agriculture. Using a purposive&#13;
sampling method, farms with known crane activity and diverse crops were selected, and&#13;
data were collected over 21 weeks through direct field observations, weekly&#13;
photographs, and systematic crop damage assessments. Five common crops, maize,&#13;
wheat, spinach, millet, and peas, were monitored to determine their vulnerability to&#13;
crane-related damage. Observations were categorized by damage type (roots, leaves,&#13;
stems, full or partial loss) and analyzed based on crop growth stages, proximity to&#13;
wetlands, and crane numbers. Economic impact was measured by comparing yields and&#13;
revenues from plots affected by cranes to those unaffected. Results showed that maize&#13;
(0.18% ± 0.06 SE), spinach (3.01± 0.37 SE), wheat (0.14± 0.06 SE), and peas (0.06 ±&#13;
0.01 SE) suffered significant damage, especially during early growth stages, while&#13;
millet (0.00± 0.00 SE) showed no visible damage. Spinach was the most vulnerable&#13;
crop, with leaf and stem damage being the most common. Crane behaviors causing crop&#13;
loss included foraging, pecking, and trampling. The economic analysis revealed notable&#13;
reductions in yield and income in affected plots, highlighting a real threat to farmers’&#13;
livelihoods. Nevertheless, the study also indicates that this damage can be prevented&#13;
using context-specific, non-lethal methods. This study recommends adopting&#13;
sustainable mitigation actions, such as farmer education, developing wildlife-friendly&#13;
farming practices, and establishing compensation or incentive programs to offset losses&#13;
&#13;
to foster peaceful coexistence between humans and wildlife while ensuring the long-&#13;
term survival of Grey Crowned Cranes. Overall, the study offers valuable insights into&#13;
&#13;
balancing biodiversity conservation with sustainable agriculture in landscapes heavily&#13;
influenced by human activity.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>MACROINVERTEBRATE FUNCTIONAL AND STRUCTURAL RESPONSES TO HUMAN DISTURBANCE AND FLOW CESSATION IN AFROMONTANE-SAVANNAH RIVERS</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2741" rel="alternate"/>
<author>
<name>OWADE, CHRISTINE</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2741</id>
<updated>2026-06-08T08:48:34Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">MACROINVERTEBRATE FUNCTIONAL AND STRUCTURAL RESPONSES TO HUMAN DISTURBANCE AND FLOW CESSATION IN AFROMONTANE-SAVANNAH RIVERS
OWADE, CHRISTINE
Freshwater ecosystems in the Afrotropics are increasingly threatened by human&#13;
activities and disturbances, including agriculture, livestock grazing, water abstraction,&#13;
and sand harvesting. These activities degrade habitat quality, alter flow regimes, and&#13;
influence the composition and functioning of aquatic communities. This study assessed&#13;
the structural and functional responses of macroinvertebrate communities to varying&#13;
levels of human disturbance, flow permanence, and seasonality in the Wundanyi-Bura&#13;
catchment, a representative Afromontane-savannah River system in southeastern&#13;
Kenya. Macroinvertebrates were sampled from 18 study sites categorized by varying&#13;
disturbance levels (low, moderate, high), flow duration type (permanent vs seasonal),&#13;
and season (dry vs wet). Physical and chemical water quality parameters, habitat&#13;
characteristics, and land-use patterns were also quantified. Functional composition was&#13;
evaluated using Functional Feeding Groups (FFGs) and 14 biological traits comprising&#13;
52 ecological trait attributes. Results showed significant degradation in water and&#13;
habitat quality with increased disturbance, particularly in the lower river reaches.&#13;
Functional trait analyses revealed that disturbed and seasonal sites were dominated by&#13;
resilient taxa such as burrowers, predators, and collector-gatherers, while less disturbed,&#13;
permanent sites had higher proportions of sensitive taxa like shredders and scrapers.&#13;
Flow variability and seasonality strongly influenced trait distributions and ecosystem&#13;
attributes, including trophic dynamics, organic matter processing, and top-down&#13;
control. Multivariate analyses (ANOSIM, NMDS, SIMPER) and trait-based&#13;
approaches provided robust indicators of ecological integrity and disturbance gradients.&#13;
This study underscores the value of integrating functional traits and FFG ratios in&#13;
biomonitoring and river health assessment. It provides crucial baseline data for the&#13;
Afrotropics, where biomonitoring frameworks are still underdeveloped, and highlights&#13;
the need to consider both structural and functional metrics in the conservation,&#13;
restoration, and management of freshwater ecosystems under increasing anthropogenic&#13;
pressures.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>ASSESSMENT OF THE EFFECTS OF CLIMATE CHANGE AND LAND USE CHANGES ON KIPKUNURR FOREST AND ITS SURROUNDINGS, ELGEYO  MARAKWET COUNTY, KENYA</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2738" rel="alternate"/>
<author>
<name>JEPKOECH, GLADYS</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2738</id>
<updated>2026-06-08T07:45:51Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">ASSESSMENT OF THE EFFECTS OF CLIMATE CHANGE AND LAND USE CHANGES ON KIPKUNURR FOREST AND ITS SURROUNDINGS, ELGEYO  MARAKWET COUNTY, KENYA
JEPKOECH, GLADYS
Globally, the combined impacts of climate change and land use alterations have&#13;
accelerated forest degradation, disrupting ecological balance and contributing to&#13;
biodiversity loss.The Kipkunurr Forest region and its surroundings in Elgeyo Marakwet&#13;
County are undergoing significant environmental transformation brought about by&#13;
climate fluctuations and landscape modifications of land use/land cover (LULC). The&#13;
reduction of forest cover caused by these changes transforms ecosystem operations and&#13;
negatively impacts biodiversity, water resources, and local livelihoods. The goal of the&#13;
study was to assess the effects of climate change and land use/land cover changes on&#13;
Kipkunurr Forest and its surroundings. The study specifically sought to analyze the&#13;
spatio-temporal changes in LULC from 1995 to 2024; to evaluate forest health using the&#13;
Normalized Difference Vegetation Index (NDVI) over the same period; to assess&#13;
temperature and rainfall variability between 1994 and 2024; and to establish the&#13;
relationships between climate change, LULC changes, and forest health. This research&#13;
adopted a descriptive research design, integrating remote sensing and GIS analysis,&#13;
climate data assessment, household surveys, and Key Informant Interviews (KIIs) to&#13;
comprehensively examine land use changes, climatic trends, and their implications on&#13;
forest conservation. Landsat images were used for land use and land cover analysis and&#13;
NDVI calculation and meteorological station climate data for analysis of temperature and&#13;
rainfall. The study relied on data from 382 households selected for interviews, five key&#13;
informant interviews, including a Forester, four forest rangers, and a NEMA official&#13;
along with local communities to examine LULC change factors and climate change. The&#13;
analysis reveals significant changes in land use and land cover (LULC), with forest cover&#13;
declining from 57.45% in 1995 to 35.06% in 2004, before slightly increasing to 36.98%&#13;
by 2024. Climate data analysis for the period 1994 to 2024 reveals a gradual increase in&#13;
mean annual temperature from approximately 20.2 °C to 20.8 °C. Although annual&#13;
rainfall exhibited notable interannual variability, an overall increasing trend was&#13;
observed, rising from around 1,100 mm to over 1,350 mm by 2024. The major drivers of&#13;
land use and land cover transformation consisted of agricultural growth, population&#13;
growth, logging and resource extraction with climate change acting as a moderate force&#13;
against forest health conditions. Satellite-derived NDVI data pointed to a little vegetation&#13;
density increase under ongoing land use stress which amounted to a value range of -0.48&#13;
to 0.77 in 1995 then decreased to 0.58 in 2004 and 0.57 in 2014 and rose to 0.61 by 2024.&#13;
According to research findings, Kipkunurr Forest is under a lot of environmental stress&#13;
due to factors like climate fluctuation, unclear boundaries, high reliance on forest&#13;
resources, and agricultural growth. Due to human and climatic stresses, persistent forest&#13;
degradation continues, especially close to forest boundaries, despite modest advances in&#13;
recent years in forest cover and vegetation health. The study recommends that&#13;
reforestation, defined boundaries, controlled grazing, and less dependence on forest-&#13;
based fuel be implemented by the Kenya Forest Service in collaboration with the County&#13;
Government and local communities as components of integrated solutions necessary for&#13;
effective forest conservation.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>FACTORS INFLUENCING RIVER DISCHARGE IN MOIBEN RIVER  CATCHMENT, KENYA</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2737" rel="alternate"/>
<author>
<name>KOECH, MERCY</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2737</id>
<updated>2026-06-08T07:35:41Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">FACTORS INFLUENCING RIVER DISCHARGE IN MOIBEN RIVER  CATCHMENT, KENYA
KOECH, MERCY
This study examines the factors influencing river discharge in the Moiben River catchment,&#13;
Kenya by looking at the shifts in the trends of river discharge, the changes that are&#13;
associated with the changes in land uses and the socio-economic influences from the period&#13;
1995 to 2024.Some of the environmental and socio-economic changes over the period are&#13;
farm land expansion, deforestation, and increasing water needs of the people. These shifts&#13;
have raised concerns about fluctuating river discharge, water scarcity and the sustainability&#13;
&#13;
of available water for both the people and ecological needs. Kenya is among the water-&#13;
deficient nation with a yearly per capita water supply being less than 1000 m3; therefore,&#13;
&#13;
its water sources needs conservation. Most of the water needs in the Kenyan watersheds&#13;
are influenced by the human activities around these watersheds. In the case of the Moiben&#13;
River catchment, discharge fluctuations, declining water levels, and water shortages have&#13;
been observed but limited research has been conducted to investigate the exact reasons&#13;
behind the declining and fluctuating river discharge. The primary objective of the study is&#13;
to assess the key factors influencing river discharge in this area, which is important for&#13;
local water supply and resource governance. The study utilized GIS-based methods and&#13;
satellite images to analyze the changing LULC, alongside data from hydrological data such&#13;
as river discharge and rainfall records. Household surveys and key informant interviews&#13;
assessed socio-economic factors influencing discharge patterns. Statistical and geospatial&#13;
techniques were used to establish relationships among these factors, and also hydrological&#13;
modelling using HEC-HMS was utilized to simulate the peak discharge over the period.&#13;
The findings revealed fluctuations in river discharge, with a slight but statistically&#13;
insignificant upward trend at p &lt; 0.05 (Qt = 0.8534t + 112.96, R2=0.0221, p=0.530). Wet&#13;
season discharge (1.25±0.12 m3/s) was higher than the dry season (1.07±0.41 m3/s). LULC&#13;
analysis showed cropland expansion (51.48% to 77.67%) and forest cover slightly&#13;
increased from (30.53% to 31.22%), while rangeland and grassland have declined.&#13;
Temperature rose significantly (r= 0.926, p= 0.074), while rainfall was moderate (r= 0.751,&#13;
p= 0.249). Cropland (r= 0.922, p= 0.078) and built area (r= 0.914, p= 0.086) increased with&#13;
time. River discharge had positive correlations with forest cover (r= 0.964, p= 0.036) and&#13;
rangeland (r= 0.983, p= 0.017) changes and the peak discharge was 87.9m3/s in a 30-year&#13;
return period. The results will inform sustainable water resource management and&#13;
sustainable land use planning measures, providing valuable insights benefiting&#13;
policymakers, conservation agencies, and local communities to mitigate the implications&#13;
of the changing climate and land uses on river discharge through practices such as&#13;
reforestation, adoption of water-efficient irrigation methods, protection of riparian zones,&#13;
and promotion of sustainable land management techniques. The findings from this research&#13;
will contribute to improving water conservation and enhancing resilience for this region.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>MODELING LAND DEGRADATION FOR CONSERVATION PLANNING IN  KALEHE TERRITORY, EASTERN D.R. CONGO</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2730" rel="alternate"/>
<author>
<name>NACISHALI, NTERANYA Jean</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2730</id>
<updated>2026-06-05T09:40:10Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">MODELING LAND DEGRADATION FOR CONSERVATION PLANNING IN  KALEHE TERRITORY, EASTERN D.R. CONGO
NACISHALI, NTERANYA Jean
The Eastern D.R. Congo is experiencing land degradation resulting from unsustainable&#13;
land use which prevent the achievement of the land degradation neutrality in this region.&#13;
This thesis aims to model the land degradation (LD) for conservation planning of&#13;
natural resources in this region by using the Kalehe territory as a case study. Based on&#13;
the system theory, a mixed approach combining field surveys, GIS, and remote sensing&#13;
techniques was adopted. The geospatial data were used to assess the LULC changes,&#13;
their implications on land productivity (LP), ecosystem service value (ESV), and soil&#13;
erosion dynamics. Furthermore, a multi-criteria decision analysis (MCDA) based&#13;
model was developed to assess the land degradation vulnerability (LDV). The results&#13;
of these geospatial analyses were triangulated with community perception data to&#13;
identify the DPSIR (Drivers-Pressures-State-Impacts-Responses) indicators toward the&#13;
LD management. By analyzing the LULC changes from 1987 to 2020 using the Landsat&#13;
images and forecasting the future LULC for 2030-2070 through Markov modelling, the&#13;
study identifies trends of increasing built-up, shrub land, and cropland at the expense&#13;
of forestland, grassland and wetland. These changes contributed to 34.17% of land&#13;
cover degradation over the last three decades. The analysis of LP dynamics through the&#13;
linear trend analysis of NDVI time series data reveals that 31.25% of the territory has&#13;
experienced a decrease in LP. The assessment matrix was used to link the perceived&#13;
ESV and the LULC categories. Through this approach, it was demonstrated that the&#13;
potential supply of ecosystem services decreased in 28.44% of the land over the 1987-&#13;
2020 period. The assessment of soil erosion dynamics through the RUSLE model&#13;
indicated that the mean annual soil loss has increased over time from 32.08 t/ha/year in&#13;
1987 to 44.35 t/ha/year in 2020. Under the current LULC trend, the annual soil loss is&#13;
projected to increase to 46.42 t/ha/year by 2030, 46.79 t/ha/year by 2050, and 48.38&#13;
t/ha/year by 2070. The adoption of conservation practices would result in the reduction&#13;
of the current erosion rate by 86.56%, 62.28%, 54.05%, and 11.61% for bench-based&#13;
terracing, agroforestry, strip cropping, and contouring, respectively. Moreover, the LD&#13;
dynamic is influenced by the landscape characteristics since the decrease of forestland,&#13;
and patch’s shape complexity, the increase of patch’s isolation, landscape&#13;
heterogeneity, and fragmentation positively influenced the soil erosion dynamics.&#13;
Hence, the need for land consolidation, connectivity and forest conservation during the&#13;
future land use planning. This study also demonstrated that the LDV model based on&#13;
MCDA can be used to predict the occurrence of physical LD processes in eastern DR&#13;
Congo with an accuracy of 77.82%. Thus, it can be supplemented with the outcomes of&#13;
land capability (LC) analysis for restoration planning and adaptive land use planning to&#13;
reduce the LDV. To address the challenges of LD, this study proposes a conceptual&#13;
model of LD management and a conservation action plan including the sustainable land&#13;
use according to LC, implementation of conservations practices, environmental&#13;
education, and improvement of community livelihoods.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>FACTORS INFLUENCING RIVER DISCHARGE IN MOIBEN RIVER  CATCHMENT, KENYA</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2728" rel="alternate"/>
<author>
<name>KOECH, MERCY</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2728</id>
<updated>2026-06-03T13:12:22Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">FACTORS INFLUENCING RIVER DISCHARGE IN MOIBEN RIVER  CATCHMENT, KENYA
KOECH, MERCY
This study examines the factors influencing river discharge in the Moiben River catchment,&#13;
Kenya by looking at the shifts in the trends of river discharge, the changes that are&#13;
associated with the changes in land uses and the socio-economic influences from the period&#13;
1995 to 2024.Some of the environmental and socio-economic changes over the period are&#13;
farm land expansion, deforestation, and increasing water needs of the people. These shifts&#13;
have raised concerns about fluctuating river discharge, water scarcity and the sustainability&#13;
&#13;
of available water for both the people and ecological needs. Kenya is among the water-&#13;
deficient nation with a yearly per capita water supply being less than 1000 m3; therefore,&#13;
&#13;
its water sources needs conservation. Most of the water needs in the Kenyan watersheds&#13;
are influenced by the human activities around these watersheds. In the case of the Moiben&#13;
River catchment, discharge fluctuations, declining water levels, and water shortages have&#13;
been observed but limited research has been conducted to investigate the exact reasons&#13;
behind the declining and fluctuating river discharge. The primary objective of the study is&#13;
to assess the key factors influencing river discharge in this area, which is important for&#13;
local water supply and resource governance. The study utilized GIS-based methods and&#13;
satellite images to analyze the changing LULC, alongside data from hydrological data such&#13;
as river discharge and rainfall records. Household surveys and key informant interviews&#13;
assessed socio-economic factors influencing discharge patterns. Statistical and geospatial&#13;
techniques were used to establish relationships among these factors, and also hydrological&#13;
modelling using HEC-HMS was utilized to simulate the peak discharge over the period.&#13;
The findings revealed fluctuations in river discharge, with a slight but statistically&#13;
insignificant upward trend at p &lt; 0.05 (Qt = 0.8534t + 112.96, R2=0.0221, p=0.530). Wet&#13;
season discharge (1.25±0.12 m3/s) was higher than the dry season (1.07±0.41 m3/s). LULC&#13;
analysis showed cropland expansion (51.48% to 77.67%) and forest cover slightly&#13;
increased from (30.53% to 31.22%), while rangeland and grassland have declined.&#13;
Temperature rose significantly (r= 0.926, p= 0.074), while rainfall was moderate (r= 0.751,&#13;
p= 0.249). Cropland (r= 0.922, p= 0.078) and built area (r= 0.914, p= 0.086) increased with&#13;
time. River discharge had positive correlations with forest cover (r= 0.964, p= 0.036) and&#13;
rangeland (r= 0.983, p= 0.017) changes and the peak discharge was 87.9m3/s in a 30-year&#13;
return period. The results will inform sustainable water resource management and&#13;
sustainable land use planning measures, providing valuable insights benefiting&#13;
policymakers, conservation agencies, and local communities to mitigate the implications&#13;
of the changing climate and land uses on river discharge through practices such as&#13;
reforestation, adoption of water-efficient irrigation methods, protection of riparian zones,&#13;
and promotion of sustainable land management techniques. The findings from this research&#13;
will contribute to improving water conservation and enhancing resilience for this region.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
</feed>
