Identifying and categorizing potential indicator macroinvertebrate taxa in a southern Nigerian reservoir using a multivariate approach

Osimen, E.C.; Elakhame, L.A.; Edegbene, Augustine O.; Izegaegbe, Joshua Idowu

doi:10.21608/ejabf.2021.142940

Cited by 7 publications

(4 citation statements)

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“…We recorded a concomitant increase in pollution indicating Physico-chemical variables such as BOD, sulphate, and phosphate in Stations 2 and 3, portraying the degradation level at these stations. Similar results have been reported in other studies in the study area [22,23]. Osimen et al [23] in their study reported elevated values of phosphate and BOD in areas subjected to human activities in the Ojirami riverine system.…”

Section: Discussionsupporting

confidence: 90%

“…Similar results have been reported in other studies in the study area [22,23]. Osimen et al [23] in their study reported elevated values of phosphate and BOD in areas subjected to human activities in the Ojirami riverine system. The study further asserted that elevated values of pollution indicating physico-chemical variables posed a severe ecological risk to macroinvertebrate structural assemblage in aquatic systems.…”

Section: Discussionsupporting

confidence: 90%

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Macroinvertebrates of Wupa River, Abuja, Nigeria: Do environmental variables pattern their assemblages?

et al. 2022

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Macroinvertebrates, alongside physico-chemical variables, were sampled and analyzed for nine months between April and December 2019 in three Stations (Stations 1, 2 and 3) in the Wupa River, Abuja, Nigeria. The stations were selected to represent an increasing pollution gradient from Station 1 < Station 2 < Station 3. Our result showed that Station 1 had the lowest mean values of physico-chemical variables, except conductivity and DO. Except for temperature (26.83±0.33 o C), BOD (13.05±0.77 mg/l) and pH (6.91-7.80) that were highest in Station 2, all other physico-chemical variables had their highest mean values in Station 3. The principal component analysis revealed that axis 1, with a variance of 64.41%, explained more variation in terms of physico-chemical variables than axis 2. Temperature and pH were positively correlated with Station 2, while turbidity and phosphate were strongly positively correlated with Station 3. A total of 49 macroinvertebrate taxa and 5,814 individuals were recorded during the study period. Station 1 (3.038) had the highest macroinvertebrate individuals, followed by Station 2 (1.794). Bulinus globusus with 759 individuals was the most predominant taxon in the area. The canonical correspondence analysis (CCA) showed that axis 1 explained 86.98% of the ordination variance while axis 2 explained 13.02%. The two axes showed no significant correlation between macroinvertebrate taxa and physico-chemical variables. The CCA triplot showed that Melanoides moerchi, Culex sp., and Oligoneux sp. are surrogates for biomonitoring the Wupa River. We recommend further studies to be conducted along the entire stretch of the river to confirm our present results.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 90%

Macroinvertebrates of Wupa River, Abuja, Nigeria: Do environmental variables pattern their assemblages?

et al. 2022

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“…Macroinvertebrate taxa coordinate scores were extracted from the first axis of the CCA because it accounted for 62.39% of the axes of the CCA that were visualized. Biological categorization was computed following the thinking of Osimen et al [29]. First, we subtracted the coordinate score of the lowest scoring taxa from the other taxa to give us the intertaxa distances.…”

Section: Study Areamentioning

confidence: 99%

“…The vulnerability and resilience to pollution levels in macroinvertebrates have been reported to vary [11,[25][26][27][28]. Different researchers have identified and classified macroinvertebrate taxa according to their level of vulnerability and resilience [16,28,29]. For instance, Osimen et al [29] used a multivariate approach to identify and categorize macroinvertebrates taxa into biological classes in a reservoir in the Niger Delta region of Nigeria.…”

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Identifying and Classifying Sites and Macroinvertebrate Taxa into Pollution Categories in an Afrotropic Riverine System: A Multivariate Approach

2022

Biol Insights

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Measuring the level of degradation in riverine systems is paramount to assessing their current health status. In this study, we identified pollution classes and the sensitivities of macroinvertebrates in River Ringim, northwestern Nigeria. We marked four sites in the study area based on their level of human influence and accessibility. Physicochemical variables and macroinvertebrates were sampled monthly for a period of five months between November 2018 and March 2019. Physicochemical variables were used to categorize the four sites into pollution categories, while the 12 taxa of macroinvertebrates recorded were also classified into biological categories. The constructed principal component analysis (PCA) showed that physicochemical variables, such as total dissolved solids, conductivity, and pH, were positively associated with Site 2, whereas Sites 3 and 4 were negatively associated with water temperature, air temperature, and flow velocity. Further analysis based on the extracted coordinate scores from the PCA showed that Sites 2-4 were heavily polluted, whereas Site 1 was slightly polluted. The result of the canonical correspondence analysis (CCA) revealed that macroinvertebrate taxa, such as Leuctridae and Hydrometridae, were positively associated with conductivity, flow velocity, water depth, water temperature, air temperature, dissolved oxygen, and pH. Of the 12 taxa we categorized, nine were highly vulnerable based on our further analysis using the extracted coordinates from the CCA. The classified sites and macroinvertebrate taxa can be used for biomonitoring the ecological health of River Ringim and other river systems subjected to similar stressors within the northwestern region of Nigeria by river managers. Our study provides baseline information on the current state of River Ringim, and we recommend sampling rivers and sites within the northwestern region of Nigeria to confirm our present results.

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Assessing the ecological health of the upper and middle Awash River, Ethiopia, using benthic macroinvertebrates community structure and selected environmental variables

Muluye,

Mengistou,

Fetahi

2023

Environ Monit Assess

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Identifying and categorizing potential indicator macroinvertebrate taxa in a southern Nigerian reservoir using a multivariate approach

Cited by 7 publications

References 0 publications

Macroinvertebrates of Wupa River, Abuja, Nigeria: Do environmental variables pattern their assemblages?

Macroinvertebrates of Wupa River, Abuja, Nigeria: Do environmental variables pattern their assemblages?

Identifying and Classifying Sites and Macroinvertebrate Taxa into Pollution Categories in an Afrotropic Riverine System: A Multivariate Approach

Assessing the ecological health of the upper and middle Awash River, Ethiopia, using benthic macroinvertebrates community structure and selected environmental variables

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