| dc.description.abstract |
The Mount Kenya forest ecosystem has experienced notable degradation in recent
years largely due to uncontrolled anthropogenic land use activities such as
deforestation, overgrazing and improper land management, and whose impact on soil
microbial communities has not been fully elucidated. Hence, this study aimed to
assess the effects of forest degradation on soil bio-physico-chemical properties within
the Mt. Kenya Forest. The specific objectives were to: Assess the effects of forest
degradation on selected soil physical properties; Analyze the effect of forest
degradation on soil chemical properties; and evaluate the influence of forest
degradation on soil bacteria community structure. Two contrasting and non
overlapping forest patches –undisturbed and degraded– were selected, and a
100×100 m plot established in each patch. Six sampling locations, with a spacing of
18 m between points, were established diagonally across each plot. To account for
microvariability at each sampling location, sterile soil auger was used to collect soil
samples in three replicates –one at the center and two others 1 m to the left and right.
A total of 36 soil samples were transported in cool boxes and refrigerated prior to
laboratory analysis. The dry combustion and core ring methods were used to assess
the soil physical properties of organic matter and bulk density, respectively. Calcium,
potassium and magnesium chemical properties were extracted using ammonium
acetate and quantified by atomic absorption spectroscopy, while soil pH was
measured in situ using a pH meter. Soil microbial abundance was determined using
the pour plate method, while bacterial isolates were characterized based on
morphological, biochemical, and molecular traits. Molecular identification involved
DNA extraction, sequencing and BLAST analysis using MEGA X and NCBI
GenBank. Data were analyzed using analysis of variance in SAS version 9.4, with
LSD for post hoc comparisons. Results showed that undisturbed patch had
significantly higher (P<0.05) soil organic matter, bulk density, calcium and potassium
levels, but supported significantly lower (62.5±27.83; F1, 94=139.10; P<0.0001) mean
bacteria colony-forming units (CFUs) when compared to degraded patch with
152.74±48.74 CFUs (F1, 94=139.10; P<0.0001), whose soil pH was more alkaline.
Molecular analysis based on16SrRNA gene sequences showed distinct clustering of
bacterial isolates with bootrap support values ranging from 69% to 100% with known
strains in GenBank. Dominant bacterial isolates in undisturbed forest included
Bacillus aerius, Pseudochrobactrum saccharolyticum, Brucella pseudogrignonensis,
Brevundimonas diminuta, Delftia tsuruhatensis, Stenotrophomonas maltophilia, and
Pseudomonas fluorescens, while degraded patch yielded Vagococcus fluvialis,
Achromobacter xylosoxidans, Cupriavidus sp., and Ochrobactrum sp., thus indicating
that forest land use degradation can affect soil bacterial communities through
modifying soil physical parameters, nutritional conditions, and biological
interactions. In conclusion, this study shows that forest land use changes can
drastically alter the number of soil bacterial communities through modifying soil
physical parameters, nutritional conditions, and biological interactions. This study
recommends continuous monitoring of soil bio-physico-chemical properties that
serve as indicators of forest soil health, and incorporating findings into forest
management and restoration plans. |
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