MétaCan
Menu
Back to cohort
Record W6993005837

Natural abundance stable isotope values as a tool to link
\nmicrobial processes and geochemistry applied to boreal
\nforest soils and serpentinization associated springs

2016· dissertation· en· W6993005837 on OpenAlexfundno aff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2016
Typedissertation
Languageen
FieldEnvironmental Science
TopicMicrobial Community Ecology and Physiology
Canadian institutionsnot available
FundersNatural Resources CanadaU.S. Forest ServiceCanadian Forest ServiceNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsSoil waterTaigaStable isotope ratioDiagenesisTransectStable-isotope probingSoil organic matterLitterForest floorδ13CSoil carbon
DOInot available

Abstract

fetched live from OpenAlex

Naturally occurring variations in stable isotope ratios provide a tool to study biogeochemical \ncycles in the absence of disturbance, including amended labelled substrates. This thesis \nfollowed two such approaches to study microbial processes in two contrasting ecosystems, \nultra-basic, reducing springs and boreal forest soils along a climate transect. \nFirst, the fact that the carbon stable isotope ratios of biomass represent the stable isotope \nratio of the carbon source of an organism ("You are what you eat") was exploited to \ninvestigate substrate use pattern of microorganisms in undisturbed forest soils. On a pedon \nscale, fungal and bacterial specific fatty acid biomarkers were isotopically distinct but exhibited \nno variation with depth in contrast to the increasing δ¹³C of the bulk soil C. This \nsuggests a common substrate supporting microorganisms across soil horizons. Further, the \ncarbon isotope ratio of the total microbial community, determined using ubiquitous fatty \nacid biomarkers, appeared to be dictated by the proportion of ¹³C-enriched bacterial relative \nto ¹³C-depleted fungal biomass in the community. This suggests that the decrease of \nfungi:bacteria ratio with depth likely contributes to the widely observed increase in δ¹³C of \nbulk soil organic carbon with depth. \nGeochemical analyses of soils from across a boreal forest climate transect indicate that \nclimate history and diagenesis can influence distinct chemical properties of soil organic matter. \nPatterns in these distinct properties across climates indicate that distinct litter inputs \nrather than soil organic matter diagenesis controls the climate effects on soil chemistry in \nthese forests. First, a warmer climate led to a decrease of moss litter relative to coniferous \nlitter, thus changing the composition of the total litter inputs. Second, a warmer climate led \nto an increase in nitrogen concentration, which in turn led to a shift in microbial substrate \nuse patterns and to distinct changes of litter chemistry during early litter decomposition. \nTogether, these indirect climate effects led to the establishment of less bioreactive organic \nmatter in warmer climate soils. \nSecond, the investigation of ultra-basic, reducing springs, in this thesis provides the \nfirst microcosm experimental evidence of microbial methanogenesis in this environment. \nFurthermore, this thesis exploited the distinct isotope fractionation factors associated with \nthe two main metabolic pathways of methanogenesis demonstrating that carbonate, rather \nthen acetate, was the main precursor of microbial methane in this environment. This result \nsuggests that CO₂ injections for carbon capture and storage, which have been proposed for \nsimilar sites, might stimulate methanogenesis. \nOverall, this thesis made contributions to the understanding of each of the studied ecosystems, \nand demonstrates the great potential and flexibility of the application of natural abundance \nstable isotope analysis for reconstructing microbial processes in undisturbed or hardto- \naccess environments.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.231
Teacher spread0.222 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueMemorial University Research Repository (Memorial University)Same topicMicrobial Community Ecology and PhysiologyFrench-language works237,207