Spatial Autocorrelation, Source Water and the Distribution of Total and Viable Microbial Abundances within a Crystalline Formation to a Depth of 800 m

Proposed radioactive waste repositories require long residence times within deep geological settings for which we have little knowledge of local or regional subsurface dynamics that could affect the transport of hazardous species over the period of radioactive decay. Given the role of microbial proc...

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Main Authors: E. D. Beaton, Marilyne Stuart, Sim Stroes-Gascoyne, Karen J. King-Sharp, Ioana Gurban, Amy Festarini, Hui Q. Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-09-01
Series:Frontiers in Microbiology
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fmicb.2017.01731/full
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spelling doaj-c28ea49757b349e79b6f4af04684073b2020-11-24T23:28:07ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2017-09-01810.3389/fmicb.2017.01731286561Spatial Autocorrelation, Source Water and the Distribution of Total and Viable Microbial Abundances within a Crystalline Formation to a Depth of 800 mE. D. Beaton0E. D. Beaton1Marilyne Stuart2Sim Stroes-Gascoyne3Karen J. King-Sharp4Ioana Gurban5Amy Festarini6Hui Q. Chen7Canadian Nuclear Laboratories (formerly Atomic Energy of Canada Limited), Chalk River Laboratories, Deep RiverON, CanadaDepartment of Earth and Environmental Sciences, University of Ottawa, OttawaON, CanadaCanadian Nuclear Laboratories (formerly Atomic Energy of Canada Limited), Chalk River Laboratories, Deep RiverON, CanadaCanadian Nuclear Laboratories (formerly Atomic Energy of Canada Limited), Chalk River Laboratories, Deep RiverON, CanadaCanadian Nuclear Laboratories (formerly Atomic Energy of Canada Limited), Chalk River Laboratories, Deep RiverON, Canada3D Terra, MontrealQC, CanadaCanadian Nuclear Laboratories (formerly Atomic Energy of Canada Limited), Chalk River Laboratories, Deep RiverON, CanadaCanadian Nuclear Laboratories (formerly Atomic Energy of Canada Limited), Chalk River Laboratories, Deep RiverON, CanadaProposed radioactive waste repositories require long residence times within deep geological settings for which we have little knowledge of local or regional subsurface dynamics that could affect the transport of hazardous species over the period of radioactive decay. Given the role of microbial processes on element speciation and transport, knowledge and understanding of local microbial ecology within geological formations being considered as host formations can aid predictions for long term safety. In this relatively unexplored environment, sampling opportunities are few and opportunistic. We combined the data collected for geochemistry and microbial abundances from multiple sampling opportunities from within a proposed host formation and performed multivariate mixing and mass balance (M3) modeling, spatial analysis and generalized linear modeling to address whether recharge can explain how subsurface communities assemble within fracture water obtained from multiple saturated fractures accessed by boreholes drilled into the crystalline formation underlying the Chalk River Laboratories site (Deep River, ON, Canada). We found that three possible source waters, each of meteoric origin, explained 97% of the samples, these are: modern recharge, recharge from the period of the Laurentide ice sheet retreat (ca. ∼12000 years before present) and a putative saline source assigned as Champlain Sea (also ca. 12000 years before present). The distributed microbial abundances and geochemistry provide a conceptual model of two distinct regions within the subsurface associated with bicarbonate – used as a proxy for modern recharge – and manganese; these regions occur at depths relevant to a proposed repository within the formation. At the scale of sampling, the associated spatial autocorrelation means that abundances linked with geochemistry were not unambiguously discerned, although fine scale Moran’s eigenvector map (MEM) coefficients were correlated with the abundance data and suggest the action of localized processes possibly associated with the manganese and sulfate content of the fracture water.http://journal.frontiersin.org/article/10.3389/fmicb.2017.01731/fullmicrobial ecologyfracture watergroundwatercell density distributionmodelingspatial autocorrelation
collection DOAJ
language English
format Article
sources DOAJ
author E. D. Beaton
E. D. Beaton
Marilyne Stuart
Sim Stroes-Gascoyne
Karen J. King-Sharp
Ioana Gurban
Amy Festarini
Hui Q. Chen
spellingShingle E. D. Beaton
E. D. Beaton
Marilyne Stuart
Sim Stroes-Gascoyne
Karen J. King-Sharp
Ioana Gurban
Amy Festarini
Hui Q. Chen
Spatial Autocorrelation, Source Water and the Distribution of Total and Viable Microbial Abundances within a Crystalline Formation to a Depth of 800 m
Frontiers in Microbiology
microbial ecology
fracture water
groundwater
cell density distribution
modeling
spatial autocorrelation
author_facet E. D. Beaton
E. D. Beaton
Marilyne Stuart
Sim Stroes-Gascoyne
Karen J. King-Sharp
Ioana Gurban
Amy Festarini
Hui Q. Chen
author_sort E. D. Beaton
title Spatial Autocorrelation, Source Water and the Distribution of Total and Viable Microbial Abundances within a Crystalline Formation to a Depth of 800 m
title_short Spatial Autocorrelation, Source Water and the Distribution of Total and Viable Microbial Abundances within a Crystalline Formation to a Depth of 800 m
title_full Spatial Autocorrelation, Source Water and the Distribution of Total and Viable Microbial Abundances within a Crystalline Formation to a Depth of 800 m
title_fullStr Spatial Autocorrelation, Source Water and the Distribution of Total and Viable Microbial Abundances within a Crystalline Formation to a Depth of 800 m
title_full_unstemmed Spatial Autocorrelation, Source Water and the Distribution of Total and Viable Microbial Abundances within a Crystalline Formation to a Depth of 800 m
title_sort spatial autocorrelation, source water and the distribution of total and viable microbial abundances within a crystalline formation to a depth of 800 m
publisher Frontiers Media S.A.
series Frontiers in Microbiology
issn 1664-302X
publishDate 2017-09-01
description Proposed radioactive waste repositories require long residence times within deep geological settings for which we have little knowledge of local or regional subsurface dynamics that could affect the transport of hazardous species over the period of radioactive decay. Given the role of microbial processes on element speciation and transport, knowledge and understanding of local microbial ecology within geological formations being considered as host formations can aid predictions for long term safety. In this relatively unexplored environment, sampling opportunities are few and opportunistic. We combined the data collected for geochemistry and microbial abundances from multiple sampling opportunities from within a proposed host formation and performed multivariate mixing and mass balance (M3) modeling, spatial analysis and generalized linear modeling to address whether recharge can explain how subsurface communities assemble within fracture water obtained from multiple saturated fractures accessed by boreholes drilled into the crystalline formation underlying the Chalk River Laboratories site (Deep River, ON, Canada). We found that three possible source waters, each of meteoric origin, explained 97% of the samples, these are: modern recharge, recharge from the period of the Laurentide ice sheet retreat (ca. ∼12000 years before present) and a putative saline source assigned as Champlain Sea (also ca. 12000 years before present). The distributed microbial abundances and geochemistry provide a conceptual model of two distinct regions within the subsurface associated with bicarbonate – used as a proxy for modern recharge – and manganese; these regions occur at depths relevant to a proposed repository within the formation. At the scale of sampling, the associated spatial autocorrelation means that abundances linked with geochemistry were not unambiguously discerned, although fine scale Moran’s eigenvector map (MEM) coefficients were correlated with the abundance data and suggest the action of localized processes possibly associated with the manganese and sulfate content of the fracture water.
topic microbial ecology
fracture water
groundwater
cell density distribution
modeling
spatial autocorrelation
url http://journal.frontiersin.org/article/10.3389/fmicb.2017.01731/full
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