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Record W7065518696

Earthworm interactions with denitrifying bacteria in riparian buffers: significance for nitrogen dynamics from the physiological to ecological scales

2014· dissertation· en· W7065518696 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueeScholarship@McGill (McGill) · 2014
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsEarthwormLumbricus terrestrisMicrocosmDenitrificationRiparian zoneSoil biologyDenitrifying bacteriaMesocosm
DOInot available

Abstract

fetched live from OpenAlex

Denitrification is responsible for gaseous nitrogen (N) loss from in riparian buffers. Earthworms affect denitrification in controlled laboratory and field studies; however, the small-scale effects of earthworm on denitrification need to be extrapolated to the field scale. The general objective of this thesis was to determine how earthworm-denitrifying bacteria interactions could affect N dynamics at a physiological level (within the earthworm body), the individual level (earthworm drilosphere), then finally determine whether these small-scale effects could be detected at the field scale (in riparian buffers). In a microcosm study (physiological level), earthworms were fed with organic substrates with different C:N ratio, but earthworm maintained a constant C:N ratio of 3.37 to 5.25 in their muscular tissue, regardless of the food N content. Adult Lumbricus terrestris had a significantly greater denitrification rate with the N-rich soybean mixture than with peat moss. These results suggest that adult L. terrestris consuming N-rich organic substrates may contribute to N2O and N2 fluxes from soil. In a mesocosm study (drilosphere level), earthworm presence increased the cumulative N2O emissions by 50% in the dry soil treatment, but earthworms reduced the cumulative N2O emissions by 34% in the wet soil treatment and reduced N2O emissions significantly by 82% in soil with rewetting-drying cycles (WD). Denitrification enzyme activity (DEA) increased significantly when earthworms were present and the abundance of 16S rRNA, nirS, and nosZ genes was affected significantly by the earthworm × soil moisture interaction. These results suggested that the decrease in cumulative N2O emissions from wet soil and the WD treatment by earthworms was due to a general alteration of the denitrifying bacterial community composition. Moreover, the results implied that earthworms would decrease the N2O emissions from saturated soils. At the field scale, earthworm demographics were investigated in temporary flooded riparian region (TR) and non-flooded riparian region (NR) in Quebec, Canada, from spring to autumn, 2012. The TR had more earthworm diversity (9 species) and larger population and biomass than NR. Earthworm population and biomass were largest in spring and autumn but declined in summer. Path analysis indicated that soil moisture, NH4+ and soil C:N ratio, but not earthworm biomass, directly affected the DEA. This observation suggests that earthworm-denitrifier interactions in riparian buffers were the result of soil moisture content and available substrate concentrations. In conclusion, my results indicate that physiological scale effects cannot be extrapolated directly from the lab to the field. Studies at the mesocosm and field scales suggest that the N2O output from riparian soils is the result of the moisture-earthworm-microbial interaction: soil moisture act as a crucial controller on the final product of denitrification (N2O or N2), while earthworms influence the gaseous N losses from natural riparian buffers through both direct effects on denitrifiers and indirect effects on substrates required for the denitrification reaction.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.020
GPT teacher head0.252
Teacher spread0.232 · 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