Lacustrine Arcellinida (testate amoebae) as bio-indicators of arsenic contamination.
Arcellininids (testate amoebae) were examined from 61 surface sediment samples collected from 59 lakes in the vicinity of former gold mines, notably Giant Mine, near Yellowknife, Northwest Territories, Canada to determine their utility as bioindicators of arsenic (As), which occurs both as a byprodu...
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Online Access: | https://pure.qub.ac.uk/en/publications/40befe22-5fba-40bc-925c-5549bf906884 https://doi.org/10.1007/s00248-016-0752-6 |
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ftqueensubelpubl:oai:pure.qub.ac.uk/portal:publications/40befe22-5fba-40bc-925c-5549bf906884 2024-05-19T07:46:18+00:00 Lacustrine Arcellinida (testate amoebae) as bio-indicators of arsenic contamination. Nasser, Nawaf A. Patterson, R. Timothy Roe, Helen M. Galloway, Jennifer M. Falck, Hendrik Palmer, Michael J. Spence, Christopher Sanai, Hamed Macumber, Andrew L. Neville, Lisa A. 2016-07 https://pure.qub.ac.uk/en/publications/40befe22-5fba-40bc-925c-5549bf906884 https://doi.org/10.1007/s00248-016-0752-6 eng eng https://pure.qub.ac.uk/en/publications/40befe22-5fba-40bc-925c-5549bf906884 info:eu-repo/semantics/closedAccess Nasser , N A , Patterson , R T , Roe , H M , Galloway , J M , Falck , H , Palmer , M J , Spence , C , Sanai , H , Macumber , A L & Neville , L A 2016 , ' Lacustrine Arcellinida (testate amoebae) as bio-indicators of arsenic contamination. ' , Microbial Ecology , vol. 72 , no. 1 , pp. 130-149 . https://doi.org/10.1007/s00248-016-0752-6 article 2016 ftqueensubelpubl https://doi.org/10.1007/s00248-016-0752-6 2024-05-02T00:21:32Z Arcellininids (testate amoebae) were examined from 61 surface sediment samples collected from 59 lakes in the vicinity of former gold mines, notably Giant Mine, near Yellowknife, Northwest Territories, Canada to determine their utility as bioindicators of arsenic (As), which occurs both as a byproduct of gold extraction at mines in the area and ore-bearing outcrops. Cluster analysis (Q-R-mode) and detrended correspondence analysis (DCA) reveal five arcellininid assemblages, three of which are related to varying As concentrations in the sediment samples. Redundancy analysis (RDA) showed that 14 statistically significant environmental parameters explained 57 % of the variation in faunal distribution, while partial RDA indicated that As had the greatest influence on assemblage variance (10.7 %; p < 0.10). Stress-indicating species (primarily centropyxids) characterized the faunas of samples with high As concentrations (median = 121.7 ppm, max > 10000 ppm, min = 16.1 ppm, n = 32), while difflugiid dominated assemblages were prevalent in substrates with relatively low As concentrations (median = 30.2 ppm, max = 905.2 ppm, min = 6.3 ppm, n = 20). Most of the lakes with very high As levels are located downwind (N and W) of the former Giant Mine roaster stack where refractory ore was roasted and substantial quantities of As were released (as As2O3) to the atmosphere in the first decade of mining. This spatial pattern suggests that a significant proportion of the observed As, in at least these lakes, are industrially derived. The results of this study highlight the sensitivity of Arcellinina to As and confirm that the group has considerable potential for assessing the impact of As contamination on lakes. Article in Journal/Newspaper Northwest Territories Yellowknife Queen's University Belfast Research Portal Microbial Ecology 72 1 130 149 |
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Open Polar |
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Queen's University Belfast Research Portal |
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ftqueensubelpubl |
language |
English |
description |
Arcellininids (testate amoebae) were examined from 61 surface sediment samples collected from 59 lakes in the vicinity of former gold mines, notably Giant Mine, near Yellowknife, Northwest Territories, Canada to determine their utility as bioindicators of arsenic (As), which occurs both as a byproduct of gold extraction at mines in the area and ore-bearing outcrops. Cluster analysis (Q-R-mode) and detrended correspondence analysis (DCA) reveal five arcellininid assemblages, three of which are related to varying As concentrations in the sediment samples. Redundancy analysis (RDA) showed that 14 statistically significant environmental parameters explained 57 % of the variation in faunal distribution, while partial RDA indicated that As had the greatest influence on assemblage variance (10.7 %; p < 0.10). Stress-indicating species (primarily centropyxids) characterized the faunas of samples with high As concentrations (median = 121.7 ppm, max > 10000 ppm, min = 16.1 ppm, n = 32), while difflugiid dominated assemblages were prevalent in substrates with relatively low As concentrations (median = 30.2 ppm, max = 905.2 ppm, min = 6.3 ppm, n = 20). Most of the lakes with very high As levels are located downwind (N and W) of the former Giant Mine roaster stack where refractory ore was roasted and substantial quantities of As were released (as As2O3) to the atmosphere in the first decade of mining. This spatial pattern suggests that a significant proportion of the observed As, in at least these lakes, are industrially derived. The results of this study highlight the sensitivity of Arcellinina to As and confirm that the group has considerable potential for assessing the impact of As contamination on lakes. |
format |
Article in Journal/Newspaper |
author |
Nasser, Nawaf A. Patterson, R. Timothy Roe, Helen M. Galloway, Jennifer M. Falck, Hendrik Palmer, Michael J. Spence, Christopher Sanai, Hamed Macumber, Andrew L. Neville, Lisa A. |
spellingShingle |
Nasser, Nawaf A. Patterson, R. Timothy Roe, Helen M. Galloway, Jennifer M. Falck, Hendrik Palmer, Michael J. Spence, Christopher Sanai, Hamed Macumber, Andrew L. Neville, Lisa A. Lacustrine Arcellinida (testate amoebae) as bio-indicators of arsenic contamination. |
author_facet |
Nasser, Nawaf A. Patterson, R. Timothy Roe, Helen M. Galloway, Jennifer M. Falck, Hendrik Palmer, Michael J. Spence, Christopher Sanai, Hamed Macumber, Andrew L. Neville, Lisa A. |
author_sort |
Nasser, Nawaf A. |
title |
Lacustrine Arcellinida (testate amoebae) as bio-indicators of arsenic contamination. |
title_short |
Lacustrine Arcellinida (testate amoebae) as bio-indicators of arsenic contamination. |
title_full |
Lacustrine Arcellinida (testate amoebae) as bio-indicators of arsenic contamination. |
title_fullStr |
Lacustrine Arcellinida (testate amoebae) as bio-indicators of arsenic contamination. |
title_full_unstemmed |
Lacustrine Arcellinida (testate amoebae) as bio-indicators of arsenic contamination. |
title_sort |
lacustrine arcellinida (testate amoebae) as bio-indicators of arsenic contamination. |
publishDate |
2016 |
url |
https://pure.qub.ac.uk/en/publications/40befe22-5fba-40bc-925c-5549bf906884 https://doi.org/10.1007/s00248-016-0752-6 |
genre |
Northwest Territories Yellowknife |
genre_facet |
Northwest Territories Yellowknife |
op_source |
Nasser , N A , Patterson , R T , Roe , H M , Galloway , J M , Falck , H , Palmer , M J , Spence , C , Sanai , H , Macumber , A L & Neville , L A 2016 , ' Lacustrine Arcellinida (testate amoebae) as bio-indicators of arsenic contamination. ' , Microbial Ecology , vol. 72 , no. 1 , pp. 130-149 . https://doi.org/10.1007/s00248-016-0752-6 |
op_relation |
https://pure.qub.ac.uk/en/publications/40befe22-5fba-40bc-925c-5549bf906884 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1007/s00248-016-0752-6 |
container_title |
Microbial Ecology |
container_volume |
72 |
container_issue |
1 |
container_start_page |
130 |
op_container_end_page |
149 |
_version_ |
1799486439061192704 |