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Assessing the Relationship between Macroinvertebrate Metrics and Fine Sediment index for Ecological Biomonitoring in the Little Akaki River, Addis Ababa; Ethiopia
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The Little Akaki River faces significant environmental challenges,
including sedimentation, which may adversely affect biodiversity and
aquatic ecosystems. Understanding the relationship between
macroinvertebrate metrics and sediment index along this river is crucial
for assessing the river ecological health. This study aims to evaluate
the relationship between macroinvertebrate metrics and sediment index
along the Little Akaki River. The research was conducted across seven
sampling sites based on the accessibility, intended to use and biotope
richness from April to May 2024, employing a multi-habitat sampling
methodology. Macroinvertebrates were collected from gravel, sand, mud,
vegetation, riffles and pools with a 500 µm D-frame net.
A total
of 5575 macroinvertebrates were collected from gravel, sand mud,
vegetation, riffles, pools, sand and mud. With 11 orders and 32
families, 21 taxa were found at site 1 and the lowest number of taxa was
recorded at site 7. Habitat quality had a positive correlation with
percentage of Ephemeroptera, percentage of EOT, and Shannon diversity
index (r =0.833, r = 0.880, and r = 0.939, respectively).
PSI had
positive correlation with number of taxa, and ASPT-ETHbios (r = 0.819,
and r = 0.798, respectively).
A plot of RDA analysis separated
the macroinvertebrate taxa which showed significant correlation with
HQI. Most sites were heavily sedimented.
The study reveals a
significant correlation between PSI, habitat quality index, and
macroinvertebrate metrics, providing clear evidence that sedimented
sites are also heavily polluted. The causal relationship between fine
sediment and pollution indicators needs to be investigated in detail.
Title: Assessing the Relationship between Macroinvertebrate Metrics and Fine Sediment index for Ecological Biomonitoring in the Little Akaki River, Addis Ababa; Ethiopia
Description:
The Little Akaki River faces significant environmental challenges,
including sedimentation, which may adversely affect biodiversity and
aquatic ecosystems.
Understanding the relationship between
macroinvertebrate metrics and sediment index along this river is crucial
for assessing the river ecological health.
This study aims to evaluate
the relationship between macroinvertebrate metrics and sediment index
along the Little Akaki River.
The research was conducted across seven
sampling sites based on the accessibility, intended to use and biotope
richness from April to May 2024, employing a multi-habitat sampling
methodology.
Macroinvertebrates were collected from gravel, sand, mud,
vegetation, riffles and pools with a 500 µm D-frame net.
A total
of 5575 macroinvertebrates were collected from gravel, sand mud,
vegetation, riffles, pools, sand and mud.
With 11 orders and 32
families, 21 taxa were found at site 1 and the lowest number of taxa was
recorded at site 7.
Habitat quality had a positive correlation with
percentage of Ephemeroptera, percentage of EOT, and Shannon diversity
index (r =0.
833, r = 0.
880, and r = 0.
939, respectively).
PSI had
positive correlation with number of taxa, and ASPT-ETHbios (r = 0.
819,
and r = 0.
798, respectively).
A plot of RDA analysis separated
the macroinvertebrate taxa which showed significant correlation with
HQI.
Most sites were heavily sedimented.
The study reveals a
significant correlation between PSI, habitat quality index, and
macroinvertebrate metrics, providing clear evidence that sedimented
sites are also heavily polluted.
The causal relationship between fine
sediment and pollution indicators needs to be investigated in detail.
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