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Citizen scientist monitoring accurately reveals nutrient pollution dynamics in Lake Tanganyika coastal waters
Several studies in Lake Tanganyika have effectively employed traditional methods to explore changes in water quality in open waters; however, coastal monitoring has been restricted and sporadic, relying on costly sample and analytical methods that require skilled technical staff. This study aims in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391239/ https://www.ncbi.nlm.nih.gov/pubmed/35984535 http://dx.doi.org/10.1007/s10661-022-10354-8 |
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author | Moshi, Happiness A. Kimirei, Ismael Shilla, Daniel O’Reilly, Catherine Wehrli, Bernhard Ehrenfels, Benedikt Loiselle, Steven |
author_facet | Moshi, Happiness A. Kimirei, Ismael Shilla, Daniel O’Reilly, Catherine Wehrli, Bernhard Ehrenfels, Benedikt Loiselle, Steven |
author_sort | Moshi, Happiness A. |
collection | PubMed |
description | Several studies in Lake Tanganyika have effectively employed traditional methods to explore changes in water quality in open waters; however, coastal monitoring has been restricted and sporadic, relying on costly sample and analytical methods that require skilled technical staff. This study aims in validating citizen science water quality collected data (nitrate, phosphate and turbidity) with those collected and measured by professional scientists in the laboratory. A second objective of the study is to use citizen scientist data to identify the patterns of seasonal and spatial variations in nutrient conditions and forecast potential changes based on expected changes in population and climate (to 2050). The results showed that the concentrations of nitrate and phosphate measured by citizen scientists nearly matched those established by professional scientists, with overall accuracy of 91% and 74%, respectively. For total suspended solids measured by professional and turbidity measured by citizen scientists, results show that, using 14 NTU as a cut-off, citizen scientist measurements of Secchi tube depth to identify lake TSS below 7.0 mg/L showed an accuracy of 88%. In both laboratory and citizen scientist-based studies, all measured water quality variables were significantly higher during the wet season compared to the dry season. Climate factors were discovered to have a major impact on the likelihood of exceeding water quality restrictions in the next decades (2050), which could deteriorate lake conditions. Upscaling citizen science to more communities on the lake and other African Great Lakes would raise environmental awareness, inform management and mitigation activities, and aid long-term decision-making. |
format | Online Article Text |
id | pubmed-9391239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-93912392022-08-21 Citizen scientist monitoring accurately reveals nutrient pollution dynamics in Lake Tanganyika coastal waters Moshi, Happiness A. Kimirei, Ismael Shilla, Daniel O’Reilly, Catherine Wehrli, Bernhard Ehrenfels, Benedikt Loiselle, Steven Environ Monit Assess Article Several studies in Lake Tanganyika have effectively employed traditional methods to explore changes in water quality in open waters; however, coastal monitoring has been restricted and sporadic, relying on costly sample and analytical methods that require skilled technical staff. This study aims in validating citizen science water quality collected data (nitrate, phosphate and turbidity) with those collected and measured by professional scientists in the laboratory. A second objective of the study is to use citizen scientist data to identify the patterns of seasonal and spatial variations in nutrient conditions and forecast potential changes based on expected changes in population and climate (to 2050). The results showed that the concentrations of nitrate and phosphate measured by citizen scientists nearly matched those established by professional scientists, with overall accuracy of 91% and 74%, respectively. For total suspended solids measured by professional and turbidity measured by citizen scientists, results show that, using 14 NTU as a cut-off, citizen scientist measurements of Secchi tube depth to identify lake TSS below 7.0 mg/L showed an accuracy of 88%. In both laboratory and citizen scientist-based studies, all measured water quality variables were significantly higher during the wet season compared to the dry season. Climate factors were discovered to have a major impact on the likelihood of exceeding water quality restrictions in the next decades (2050), which could deteriorate lake conditions. Upscaling citizen science to more communities on the lake and other African Great Lakes would raise environmental awareness, inform management and mitigation activities, and aid long-term decision-making. Springer International Publishing 2022-08-19 2022 /pmc/articles/PMC9391239/ /pubmed/35984535 http://dx.doi.org/10.1007/s10661-022-10354-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Moshi, Happiness A. Kimirei, Ismael Shilla, Daniel O’Reilly, Catherine Wehrli, Bernhard Ehrenfels, Benedikt Loiselle, Steven Citizen scientist monitoring accurately reveals nutrient pollution dynamics in Lake Tanganyika coastal waters |
title | Citizen scientist monitoring accurately reveals nutrient pollution dynamics in Lake Tanganyika coastal waters |
title_full | Citizen scientist monitoring accurately reveals nutrient pollution dynamics in Lake Tanganyika coastal waters |
title_fullStr | Citizen scientist monitoring accurately reveals nutrient pollution dynamics in Lake Tanganyika coastal waters |
title_full_unstemmed | Citizen scientist monitoring accurately reveals nutrient pollution dynamics in Lake Tanganyika coastal waters |
title_short | Citizen scientist monitoring accurately reveals nutrient pollution dynamics in Lake Tanganyika coastal waters |
title_sort | citizen scientist monitoring accurately reveals nutrient pollution dynamics in lake tanganyika coastal waters |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391239/ https://www.ncbi.nlm.nih.gov/pubmed/35984535 http://dx.doi.org/10.1007/s10661-022-10354-8 |
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