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Li M, Cai Y, Zhang Y, Carlson PE, Dong R, Gong Z, Zhang Y, Li K. Impacts of habitat alteration on macroinvertebrates in large shallow lakes: An application of a macroinvertebrate-based multimetric index. INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT 2024. [PMID: 38837538 DOI: 10.1002/ieam.4966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 05/13/2024] [Accepted: 05/13/2024] [Indexed: 06/07/2024]
Abstract
Habitat plays a crucial role in shaping the macroinvertebrate community structure in large shallow lakes. In the pursuit of improving the health of freshwater ecosystems, it is imperative to consider their habitat characteristics. To evaluate the impact of habitat variations on lake ecological health, we developed a macroinvertebrate-based multimetric index (MMI) for both the pelagic and littoral zones of Lake Hongze. Additionally, we employed structural equation models to explore the influence of utilization or phytoplankton biomass on ecological health. Historical data served as reference conditions for the pelagic. Seven key attributes were selected for the pelagic MMI, that is, Biological Monitoring Working Party (BMWP), the percentage of Mollusca taxa, the percentage of filter-collector taxa, the percentage of predator taxa, the percentage of gather-collector taxa, and the percentage of sensitive taxa and functional dispersion. The least minimally disturbed conditions and the best attainable conditions were used to develop the littoral. Four key metrics, that is, the percentage of scraper abundance, Mollusca taxa, Biological Pollution Index, and BMWP, were integrated into the littoral MMI. The assessment based on MMI revealed a "poor" health status for the pelagic zone and a "fair" health status for the littoral zone. These findings underscore the high applicability and efficacy of MMIs in assessing and monitoring ecological health in Lake Hongze. Notably, functional feeding groups exhibited heightened sensitivity to disturbance in both zones. Moreover, sediment organic matter strongly influenced the pelagic ecological health, while chlorophyll a and transparency emerged as primary factors influencing the littoral zone, attributable to varying littoral zone utilization. Integr Environ Assess Manag 2024;00:1-11. © 2024 SETAC.
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Affiliation(s)
- Mingjie Li
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu, China
| | - Yongjiu Cai
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu, China
| | - Ying Zhang
- Water Resources Planning Bureau of Jiangsu Province, Nanjing, China
| | - Peter E Carlson
- Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Rui Dong
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu, China
| | - Zhijun Gong
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu, China
| | - You Zhang
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu, China
- Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Kuanyi Li
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
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Ikayaja EO, Arimoro FO. Organophosphate pesticide residue impact on water quality and changes in macroinvertebrate community in an Afrotropical stream flowing through farmlands. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:489. [PMID: 38689125 DOI: 10.1007/s10661-024-12659-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 04/25/2024] [Indexed: 05/02/2024]
Abstract
River Chanchaga has experienced significant agricultural practices around its catchment, which involved the indiscriminate use of pesticides. However, residents of the study area are not well aware of the negative impact of pesticides on water quality and macroinvertebrates. In this study, the first report on the influence of organophosphate pesticide contamination on the abundance of the macroinvertebrate community was provided. Sampling for the determination of organophosphate pesticide residues was carried out during the peak of the two seasons, while macroinvertebrates and physicochemical variables were observed for 6 months. We examined 11 organophosphate pesticide residues using gas chromatography coupled with mass spectrometry, 12 water quality variables, and 625 macroinvertebrate individuals. The concentration of recorded organophosphate pesticide residues ranged from 0.01 to 0.52 μg/L. From the Canonical Correspondence Analysis plot, malathion, chlorine, and paraffin show a positive correlation with Unima sp., Hydrocanthus sp., Chironomus sp., and Potadoma sp. At station 3, depth shows a positive correlation with Biomphalaria sp. and Zyxomma sp., indicating poor water quality as most of these macroinvertebrates are indicators of water pollution. Diuron and carbofuran show a negative correlation with Lestes sp. and Pseudocloeon sp., and these are pollution-sensitive macroinvertebrates. The total mean concentration of organophosphate pesticide residues was above international drinking water standards set by the World Health Organization except for paraffin, chlorpyrifos, and diuron. In conclusion, the observations recorded from this research are useful in managing pesticide applications around the river catchment.
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Affiliation(s)
- Eunice O Ikayaja
- Ecology and Environmental Biology Unit, Department of Animal Biology, Federal University of Technology Minna, Minna, P.M.B. 65, Nigeria.
| | - Francis O Arimoro
- Ecology and Environmental Biology Unit, Department of Animal Biology, Federal University of Technology Minna, Minna, P.M.B. 65, Nigeria
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Assie AF, Arimoro FO, Ndatimana G, Keke UN, Ayanwale AV, Edia EO, Edegbene AO. Development of a macroinvertebrate-based biotic index to assess water quality of rivers in Niger State, North Central Ecoregion of Nigeria. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:230. [PMID: 38305996 DOI: 10.1007/s10661-024-12368-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 01/15/2024] [Indexed: 02/03/2024]
Abstract
The increasing pollution of lotic ecosystems in sub-Saharan Africa, particularly in Nigeria, poses a threat to water quality, public health and biodiversity. It is therefore essential to develop appropriate tools and methods for monitoring these rivers, particularly in heavily affected areas, where these water resources are vital to the surrounding communities that are heavily dependent on them. To fill this gap, we propose to develop a multimetric index based on macroinvertebrates for the assessment of ecological quality of rivers in Niger State (NSRBI). Eighty-eight metrics were evaluated through a step-by-step statistical process (namely, range test and stability, redundancy test and relationship with abiotic variables), in which metrics that did not meet the conditions were excluded. At the end of this process, only four metrics (%Hemiptera, Diptera richness, Pielou equitability and % of very large individuals (size > 40 mm)) fulfilling all criteria were included in the index. These metrics were then scored on a continuous scale and divided into four water quality classes: "very poor", "poor", "fair" and "good". Evaluation of the performance of the index on test sites showed a correspondence of 90% between index result and environmental-based classification. Therefore, the NSRBI could be a valuable tool for monitoring and assessing the ecological conditions of rivers in Niger State and the North Central Nigeria ecoregion predominantly in urban and agricultural landscapes.
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Affiliation(s)
- Attobla Fulbert Assie
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria.
| | - Francis O Arimoro
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria
| | - Gilbert Ndatimana
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria
- Center of Excellence in Biodiversity and Natural Resources Management, University of Rwanda, P.O Box: 512, Butare, Huye, Rwanda
| | - Unique N Keke
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria
| | - Adesola V Ayanwale
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria
| | - Edia O Edia
- Laboratory of Environment and Aquatic Biology, Faculty of Environmental Sciences and Management, University Nangui Abrogoua, 02 BP 801, Abidjan 02, Lagunes, Côte d'Ivoire
| | - Augustine O Edegbene
- Department of Biological Sciences, Federal University of Health Sciences, Otukpo, Benue State, 972261, Nigeria
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Action S, Arimoro FO, Assie FAGJ, Nantege D, Ndatimana G, Keke UN. Stream ecosystem puzzle: understanding how water column and sediment variables shape macroinvertebrate patterns in some Afrotropical streams. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:172. [PMID: 38236491 DOI: 10.1007/s10661-024-12319-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 01/05/2024] [Indexed: 01/19/2024]
Abstract
Although the interaction of water column and sediment variables in streams is intricate, minimal studies have been conducted on how they influence macroinvertebrate community patterns. This study, therefore, aimed to evaluate the influence of water column and sediment variables on macroinvertebrate community patterns in selected Afrotropical streams. Spatiotemporal scales of water column and sediment variables were analysed following standard methods while macroinvertebrates were sampled using the kick sampling technique. Redundancy analysis (RDA) and variation partitioning were used to assess the relationship of macroinvertebrates with water column and sediment variables. Significant differences were observed between seasons amongst water column variables such as total dissolved solids (p=0.046), turbidity (p=0.027), dissolved oxygen (p=0.011), chemical oxygen demand (p=0.002), bank vegetation (p=0.013), velocity (p=0.04), phosphates (p=0.031), and sediment variables such as total organic matter (p=0.01), pH (p=0.024), electrical conductivity (p=0.014). This accounted for the shift in biotic communities across the two seasons. In the studied area and seasons, Baetidae, Chironomidae, and Thiaridae were the most abundant families of macroinvertebrates representing 21.5%, 17.8%, and 6.9% of the 5266 recorded individuals belonging to 68 families. The water column was the most important predictor of macroinvertebrate community patterns (57%) compared to sediments (35%). Therefore, the use of both water column and sediment variables in ecological studies and biomonitoring should be emphasised because the two compartments provide complementary information. This enables researchers to gain a more complete understanding of the ecological health of aquatic habitats, useful in the development of effective management strategies.
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Affiliation(s)
- Simon Action
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology Minna, P.M.B, Minna, Niger State, 65, Nigeria.
| | - Francis O Arimoro
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology Minna, P.M.B, Minna, Niger State, 65, Nigeria
| | - Fulbert A G J Assie
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology Minna, P.M.B, Minna, Niger State, 65, Nigeria
| | - Diana Nantege
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology Minna, P.M.B, Minna, Niger State, 65, Nigeria
| | - Gilbert Ndatimana
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology Minna, P.M.B, Minna, Niger State, 65, Nigeria
| | - Unique N Keke
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology Minna, P.M.B, Minna, Niger State, 65, Nigeria
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Ndatimana G, Arimoro FO, Chukwuemeka VI, Assie FAGJ, Action S, Nantege D. Development of lake macroinvertebrate-based multimetric index for monitoring ecological health in North Central Nigeria. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:1429. [PMID: 37938396 DOI: 10.1007/s10661-023-12036-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 10/23/2023] [Indexed: 11/09/2023]
Abstract
The use of organisms like macroinvertebrates in developing bioassessment tools, such as multimetric indices (MMIs), is gaining global recognition in monitoring the health status of lakes. The transition from traditional methods of physico-chemical parameters is due to the financial and time costs involved in their analysis while failing to provide accurate early warning signals on ecosystem conditions. Currently, there is scanty information on the use of MMIs in the conservation and management of lakes in Nigeria. This study aimed at developing a macroinvertebrate-based MMI to assess the ecological status of lakes in North Central Nigeria. The study was conducted on Tagwai and Old Gawu Lakes, from April to October 2022. Sampling sites were clustered based on organic pollution and categorized into reference (four) and impaired (four) sites. Out of 54 macroinvertebrate-based candidate metrics, only five were selected after discriminatory, stability, and redundancy tests (performed using R software). The final metrics were abundance of Ephemeroptera + Trichoptera; abundance of Coleoptera + Ephemeroptera; Gastropoda richness; Shannon Wiener index; and percentages of shredders + predators + scrapers, hereafter referred to as North Central Nigeria-Lakes Multimetric Index (NCN-LMMI). The NCN-LMMI values ranged as follows: 21-25, 16-20, 11-15, and 5-10 corresponding to categories I, II, III, and IV for water quality, as indications of good, fair, poor, and very poor ecological status of the lake, respectively. The developed NCN-LMMI will be a useful tool for aquatic resource managers and environmentalists to assess the ecological condition of lakes, mainly the North Central Nigeria municipal lakes.
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Affiliation(s)
- Gilbert Ndatimana
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology Minna, PMB 65, Minna, Nigeria.
| | - Francis O Arimoro
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology Minna, PMB 65, Minna, Nigeria
| | - Victoria I Chukwuemeka
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology Minna, PMB 65, Minna, Nigeria
| | - Fulbert A G J Assie
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology Minna, PMB 65, Minna, Nigeria
| | - Simon Action
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology Minna, PMB 65, Minna, Nigeria
| | - Diana Nantege
- Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology Minna, PMB 65, Minna, Nigeria
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