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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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Biamont-Rojas IE, Cardoso-Silva S, Bitencourt MD, Dos Santos ACA, Moschini-Carlos V, Rosa AH, Pompêo M. Ecotoxicology and geostatistical techniques employed in subtropical reservoirs sediments after decades of copper sulfate application. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:2415-2434. [PMID: 35986856 DOI: 10.1007/s10653-022-01362-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 08/08/2022] [Indexed: 06/15/2023]
Abstract
Spatial distribution linked to geostatistical techniques contributes to sum up information into an easier-to-comprehend knowledge. This study compares copper spatial distribution in surface sediments and subsequent categorization according to its toxicological potential in two reservoirs, Rio Grande (RG) and Itupararanga (ITU) (São Paulo-Brazil), where copper sulfate is applied and not applied, respectively. Sediments from 47 sites in RG and 52 sites in ITU were collected, and then, copper concentrations were interpolated using geostatistical techniques (kriging). The resulting sediment distributions were classified in categories based on sediment quality guides: threshold effect level and probable effect level; regional reference values (RRVs) and enrichment factor (EF). Copper presented a heterogenic distribution and higher concentrations in RG (2283.00 ± 1308.75 mg/kg) especially on the upstream downstream, associated with algicide application as well as the sediment grain size, contrary to ITU (21.81 ± 8.28 mg/kg) where a no-clear pattern of distribution was observed. Sediments in RG are predominantly categorized as "Very Bad", whereas sediments in ITU are mainly categorized as "Good", showing values higher than RRV. The classification is supported by the EF categorization, which in RG is primarily categorized as "Very High" contrasting to ITU classified as "Absent/Very Low". Copper total stock in superficial sediment estimated for RG is 4515.35 Ton of Cu and for ITU is 27.45 Ton of Cu.
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Affiliation(s)
- Ivan Edward Biamont-Rojas
- Institute of Science and Technology, São Paulo State University (UNESP), Av. Três de Março, 511, Alto da Boa Vista, Sorocaba, 18087-180, Brazil.
| | - Sheila Cardoso-Silva
- Federal University of Acre-UFAC, Rodovia BR 364, Km 04, Rio Branco, AC, 69920-900, Brazil
- Oceanographic Institute, University of São Paulo (IO/USP), Praça Do Oceanográfico, 191, São Paulo, SP, 05508-120, Brazil
| | - Marisa Dantas Bitencourt
- Department of Ecology, University of São Paulo, Rua Do Matão, trav. 14, n° 321, Cidade Universitária, São Paulo, 05508-090, Brazil
| | | | - Viviane Moschini-Carlos
- Institute of Science and Technology, São Paulo State University (UNESP), Av. Três de Março, 511, Alto da Boa Vista, Sorocaba, 18087-180, Brazil
| | - André Henrique Rosa
- Institute of Science and Technology, São Paulo State University (UNESP), Av. Três de Março, 511, Alto da Boa Vista, Sorocaba, 18087-180, Brazil
| | - Marcelo Pompêo
- Department of Ecology, University of São Paulo, Rua Do Matão, trav. 14, n° 321, Cidade Universitária, São Paulo, 05508-090, Brazil
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Modelling of sediment yield using the soil and water assessment tool (SWAT) model: A case study of the Chanchaga Watersheds, Nigeria. SCIENTIFIC AFRICAN 2021. [DOI: 10.1016/j.sciaf.2021.e00936] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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