MétaCan
Menu
Back to cohort
Record W4387706610 · doi:10.3897/aca.6.e108268

Microbial Community Dynamics in Base Mine Lake, the First End-Pit Lake in the Alberta Oil sands Industry

2023· article· en· W4387706610 on OpenAlexafffundabout
Angela V. Smirnova, Peter F. Dunfield, Chantel C. Furgason, Andriy Sheremet, Felix Chinweije Nwosu, Joel B. Dacks

Bibliographic record

VenueARPHA Conference Abstracts · 2023
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsUniversity of CalgaryUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTailingsOil sandsSurface miningLand reclamationEcologyEnvironmental scienceTailings damBeaverEcological successionHabitatWetlandGeographyBiologyCoal miningArchaeologyAsphalt

Abstract

fetched live from OpenAlex

Oil extraction from bitumen in the Athabasca region of northeastern Alberta, comprises a large segment of the Canadian economy. However, the process of oil extraction from surface mined oil sands ores results in diverse environmental issues including disturbance of land areas and habitats for wildlife, as well as production of large volumes of fluid tailings containing many compounds of concern for the environment. Land reclamation strategies of most oilsands operations propose the construction of end-pit lakes (EPL) to contain and biodegrade tailings, eventually becoming integrated into local watersheds. We used 16S/18S rRNA gene amplicon and metagenome sequencing to monitor prokaryotic and eukaryotic communities in the first full-scale pilot EPL of the Canadian oilsands, Base Mine Lake (BML) Fig. 1, over 6 years from 2015-2021, and compared them with communities from two active tailings ponds, Mildred Lake Setting Basin (MLSB) and Southwest in-Pit (SWIP), as well as with communities from a more natural freshwater body, Beaver Creek Reservoir (BCR). Alpha diversity in BML is intermediate to diversities in active tailings ponds and a natural lake, although highly variable with time, depth, and season. Microbial communities in BML resemble neither freshwater lake nor active tailings communities, although a structural shift of either microbial community occurred every year, and 2021 was a year of the most profound effect. Moreover, metabolic functions in BML also shifted every year, with the most dramatic shift for photosynthesis-related genes. Temporal changes among protists identified in BML were characterized by enrichment of species designated as picophytoplankton: Cryptomonas , Mychonastes , Trebouxiophyceae , and Dinobryon , and among bacterial genera by enrichment of common freshwater lake species or bacterioplankton: Ca . Fonsibacter, Sporichthyaceae , Ca. Planktophila, Microbacteriaceae ML602J-51, Ilumatobacteraceae CL500-29 group. Network analysis identified a potential microbial consortium between newly enriched species of picophytoplankton and bacterioplankton. Heterotrophic bacteria with streamlined genomes may overcome auxotrophic limitations by scavenging metabolites and other compounds produced by phototrophs presumably via chemotaxis behaviour. We propose that the formation of the consortium might serve as a biomarker for reclamation process of an oil sands tailings pond.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.852
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.238
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueARPHA Conference AbstractsSame topicHydrocarbon exploration and reservoir analysisFrench-language works237,207