Titre | Intra-lake response of Arcellinida (testate lobose amoebae) to gold mining-derived arsenic contamination in northern Canada: Implications for environmental monitoring |
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Auteur | Nasser, N A; Patterson, R T; Galloway, J M ; Falck, H |
Source | PeerJ 2020 p. 1-34, https://doi.org/10.7717/peerj.9054 Accès ouvert |
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Année | 2020 |
Séries alt. | Ressources naturelles Canada, Contribution externe 20200087 |
Éditeur | PeerJ Inc. |
Document | publication en série |
Lang. | anglais |
DOI | https://doi.org/10.7717/peerj.9054 |
Media | papier; en ligne; numérique |
Formats | pdf |
Province | Territoires du Nord-Ouest |
SNRC | 75L; 75M; 76D; 85I; 85J; 85O; 85P; 86A; 86B |
Région | Yellowknife; Frame Lake; Hambone Lake |
Lat/Long OENS | -116.0000 -110.0000 64.5000 62.0000 |
Sujets | gisements minéraux; or; exploitation minière; résidus miniers; traitement des minerais; contamination des métaux lourds; arsenic; effets sur l'environnement; microorganismes; eaux de surface; lacs;
géochimie des sediments lacustres; analyses statistiques; assemblages fauniques; Mine Giant ; Arcellinide; Site contaminé; Microbiologie; sédiments lacustres; Eau douce; géologie de l'environnement; géochimie; sédimentologie; Économie et industrie;
Nature et environnement; Sciences et technologie |
Illustrations | cartes de localisation; photomicrographies; diagrammes; graphiques; diagrammes à secteurs; tableaux |
Diffusé | 2020 05 04 |
Résumé | (disponible en anglais seulement) Arcellinida (testate lobose amoebae) were examined from 40 near-surface sediment samples (top 0.5 cm) from two lakes impacted by arsenic (As) contamination
associated with legacy gold mining in subarctic Canada. The objectives of the study are two folds: quantify the response of Arcellinida to intra-lake variability of As and other physicochemical controls, and evaluate whether the impact of As
contamination derived from two former gold mines, Giant Mine (1938-2004) and Tundra Mine (1964-1968 and 1983-1986), on the Arcellinida distribution in both lakes is comparable or different. Cluster analysis and nonmetric multidimensional scaling
(NMDS) were used to identify Arcellinida assemblages in both lakes, and redundancy analysis (RDA) was used to quantify the relationship between the assemblages, As, and other geochemical and sedimentological parameters. Cluster analysis and NMDS
revealed four distinct arcellinidan assemblages in Frame Lake (assemblages 1-4) and two in Hambone Lake (assemblages 5 and 6): (1) Extreme As Contamination (EAC) Assemblage; (2) High calcium (HC) Assemblage; (3) Moderate As Contamination (MAC)
assemblages; (4) High Nutrients (HN) Assemblage; (5) High Diversity (HD) Assemblage; and (6) Centropyxis aculeata (CA) Assemblage. RDA analysis showed that the faunal structure of the Frame Lake assemblages was controlled by five variables that
explained 43.2% of the total faunal variance, with As (15.8%), Olsen phosphorous (Olsen-P; 10.5%), and Ca (9.5%) being the most statistically significant (p < 0.004). Stress-tolerant arcellinidan taxa were associated with elevated As concentrations
(e.g., EAC and MAC; As concentrations range = 145.1-1336.6 mg kg?1; n = 11 samples), while stress-sensitive taxa thrived in relatively healthier assemblages found in substrates with lower As concentrations and higher concentrations of nutrients, such
as Olsen-P and Ca (e.g., HC and HM; As concentrations range = 151.1-492.3 mg kg?1; n = 14 samples). In contrast, the impact of As on the arcellinidan distribution was not statistically significant in Hambone Lake (7.6%; p-value = 0.152), where the
proportion of silt (24.4%; p-value = 0.005) and loss-on-ignition-determined minerogenic content (18.5%; p-value = 0.021) explained a higher proportion of the total faunal variance (58.4%). However, a notable decrease in arcellinidan species richness
and abundance and increase in the proportions of stress-tolerant fauna near Hambone Lake's outlet (e.g., CA samples) is consistent with a spatial gradient of higher sedimentary As concentration near the outlet, and suggests a lasting, albeit weak, As
influence on Arcellinida distribution in the lake. We interpret differences in the influence of sedimentary As concentration on Arcellinida to differences in the predominant As mineralogy in each lake, which is in turn influenced by differences in
ore-processing at the former Giant (roasting) and Tundra mines (free-milling). |
GEOSCAN ID | 326169 |
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