Use of Arcellinida (testate lobose amoebae) Arsenic tolerance limits as novel tool for biomonitoring Arsenic contamination in lakes
Arsenic (As) contamination from legacy gold mining in subarctic Canada poses an ongoing threat to lake biota. With climatic warming expected to increase As bioavailability in lake waters, developing tools for monitoring As variability becomes essential. Arcellinida (testate lobose amoebae) is an est...
Published in: | Ecological Indicators |
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2020
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Online Access: | https://pure.qub.ac.uk/en/publications/f8051f6b-3171-4e2a-9bab-c730429adb2c https://doi.org/10.1016/j.ecolind.2020.106177 https://pureadmin.qub.ac.uk/ws/files/200156471/UseOf.pdf |
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ftqueensubelpubl:oai:pure.qub.ac.uk/portal:publications/f8051f6b-3171-4e2a-9bab-c730429adb2c 2024-01-28T10:08:12+01:00 Use of Arcellinida (testate lobose amoebae) Arsenic tolerance limits as novel tool for biomonitoring Arsenic contamination in lakes Nasser, Nawaf Patterson, Tim Roe, Helen Galloway, Jennifer Falck, Hendrik Sanei, Hamed 2020-02-19 application/pdf https://pure.qub.ac.uk/en/publications/f8051f6b-3171-4e2a-9bab-c730429adb2c https://doi.org/10.1016/j.ecolind.2020.106177 https://pureadmin.qub.ac.uk/ws/files/200156471/UseOf.pdf eng eng info:eu-repo/semantics/openAccess Nasser , N , Patterson , T , Roe , H , Galloway , J , Falck , H & Sanei , H 2020 , ' Use of Arcellinida (testate lobose amoebae) Arsenic tolerance limits as novel tool for biomonitoring Arsenic contamination in lakes ' , Ecological Indicators , vol. 113 , 106177 . https://doi.org/10.1016/j.ecolind.2020.106177 article 2020 ftqueensubelpubl https://doi.org/10.1016/j.ecolind.2020.106177 2024-01-04T23:20:54Z Arsenic (As) contamination from legacy gold mining in subarctic Canada poses an ongoing threat to lake biota. With climatic warming expected to increase As bioavailability in lake waters, developing tools for monitoring As variability becomes essential. Arcellinida (testate lobose amoebae) is an established group of lacustrine bioindicators that are sensitive to changes in environmental conditions and lacustrine ecological health. In this study, As-tolerance of Arcellinida (testate lobose amoebae) in lake sediments (n = 93) in subarctic Northwest Territories, Canada was investigated. Arcellinida assemblage dynamics were compared with the intra-lake As distribution to delineate the geospatial extent of legacy As contamination related to the former Giant Mine (Yellowknife). Cluster analysis revealed five Arcellinida assemblages that correlate strongly with ten variables (variance explained = 40.4%), with As (9.4%) and S1-carbon (labile organic matter; 8.9%) being the most important (p-value = 0.001, n = 84). Stressed assemblages characterized proximal lakes <10 km from the former mine site, consistent with a recently identified, geochemically-based zone of high As impact. The weighted average tolerance and optima (WATO) analysis led to identification of three arcellinidan groups based on the As-sensitivity: Low-Moderate Tolerance Group (As = 0–350 ppm); High Tolerance Group (As = 350–760 ppm); and, Extreme Tolerance Group (As >750 ppm). The predictive capability of the Low-Moderate and Extreme tolerance groups is particularly strong, correlating with As concentrations in 66.6% (n = 20/30) of a test dataset. We propose that As influences the spatial distribution of the more nutrient-sensitive Arcellinida taxa (e.g., Cucurbitella tricuspis and Difflugia oblonga strain “oblonga”) through suppression of preferred microbial food sources. These findings, which indicate that there is a variable species-level arcellinidan response to As contamination, showcases the potential of using the group as a reliable tool for ... Article in Journal/Newspaper Northwest Territories Subarctic Yellowknife Queen's University Belfast Research Portal Canada Northwest Territories Yellowknife Ecological Indicators 113 106177 |
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Open Polar |
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Queen's University Belfast Research Portal |
op_collection_id |
ftqueensubelpubl |
language |
English |
description |
Arsenic (As) contamination from legacy gold mining in subarctic Canada poses an ongoing threat to lake biota. With climatic warming expected to increase As bioavailability in lake waters, developing tools for monitoring As variability becomes essential. Arcellinida (testate lobose amoebae) is an established group of lacustrine bioindicators that are sensitive to changes in environmental conditions and lacustrine ecological health. In this study, As-tolerance of Arcellinida (testate lobose amoebae) in lake sediments (n = 93) in subarctic Northwest Territories, Canada was investigated. Arcellinida assemblage dynamics were compared with the intra-lake As distribution to delineate the geospatial extent of legacy As contamination related to the former Giant Mine (Yellowknife). Cluster analysis revealed five Arcellinida assemblages that correlate strongly with ten variables (variance explained = 40.4%), with As (9.4%) and S1-carbon (labile organic matter; 8.9%) being the most important (p-value = 0.001, n = 84). Stressed assemblages characterized proximal lakes <10 km from the former mine site, consistent with a recently identified, geochemically-based zone of high As impact. The weighted average tolerance and optima (WATO) analysis led to identification of three arcellinidan groups based on the As-sensitivity: Low-Moderate Tolerance Group (As = 0–350 ppm); High Tolerance Group (As = 350–760 ppm); and, Extreme Tolerance Group (As >750 ppm). The predictive capability of the Low-Moderate and Extreme tolerance groups is particularly strong, correlating with As concentrations in 66.6% (n = 20/30) of a test dataset. We propose that As influences the spatial distribution of the more nutrient-sensitive Arcellinida taxa (e.g., Cucurbitella tricuspis and Difflugia oblonga strain “oblonga”) through suppression of preferred microbial food sources. These findings, which indicate that there is a variable species-level arcellinidan response to As contamination, showcases the potential of using the group as a reliable tool for ... |
format |
Article in Journal/Newspaper |
author |
Nasser, Nawaf Patterson, Tim Roe, Helen Galloway, Jennifer Falck, Hendrik Sanei, Hamed |
spellingShingle |
Nasser, Nawaf Patterson, Tim Roe, Helen Galloway, Jennifer Falck, Hendrik Sanei, Hamed Use of Arcellinida (testate lobose amoebae) Arsenic tolerance limits as novel tool for biomonitoring Arsenic contamination in lakes |
author_facet |
Nasser, Nawaf Patterson, Tim Roe, Helen Galloway, Jennifer Falck, Hendrik Sanei, Hamed |
author_sort |
Nasser, Nawaf |
title |
Use of Arcellinida (testate lobose amoebae) Arsenic tolerance limits as novel tool for biomonitoring Arsenic contamination in lakes |
title_short |
Use of Arcellinida (testate lobose amoebae) Arsenic tolerance limits as novel tool for biomonitoring Arsenic contamination in lakes |
title_full |
Use of Arcellinida (testate lobose amoebae) Arsenic tolerance limits as novel tool for biomonitoring Arsenic contamination in lakes |
title_fullStr |
Use of Arcellinida (testate lobose amoebae) Arsenic tolerance limits as novel tool for biomonitoring Arsenic contamination in lakes |
title_full_unstemmed |
Use of Arcellinida (testate lobose amoebae) Arsenic tolerance limits as novel tool for biomonitoring Arsenic contamination in lakes |
title_sort |
use of arcellinida (testate lobose amoebae) arsenic tolerance limits as novel tool for biomonitoring arsenic contamination in lakes |
publishDate |
2020 |
url |
https://pure.qub.ac.uk/en/publications/f8051f6b-3171-4e2a-9bab-c730429adb2c https://doi.org/10.1016/j.ecolind.2020.106177 https://pureadmin.qub.ac.uk/ws/files/200156471/UseOf.pdf |
geographic |
Canada Northwest Territories Yellowknife |
geographic_facet |
Canada Northwest Territories Yellowknife |
genre |
Northwest Territories Subarctic Yellowknife |
genre_facet |
Northwest Territories Subarctic Yellowknife |
op_source |
Nasser , N , Patterson , T , Roe , H , Galloway , J , Falck , H & Sanei , H 2020 , ' Use of Arcellinida (testate lobose amoebae) Arsenic tolerance limits as novel tool for biomonitoring Arsenic contamination in lakes ' , Ecological Indicators , vol. 113 , 106177 . https://doi.org/10.1016/j.ecolind.2020.106177 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.ecolind.2020.106177 |
container_title |
Ecological Indicators |
container_volume |
113 |
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106177 |
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1789336716650217472 |