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Record W2121131200

The effects of age and size of canopy gaps on the mycorrhizae of yellow birch (Betula alleghaniensis Britton) and sugar maple (Acer sacchrum Marsh.) from deciduous forests of the Québec city region

2000· dissertation· en· W2121131200 on OpenAlexaboutno aff
Tonia De Bellis

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2000
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsColonizationBiologyDeciduousSpecies richnessAceraceaeMapleYellow birchGrowing seasonCanopyEcologyBotany
DOInot available

Abstract

fetched live from OpenAlex

Effects of different sized and different aged canopy gaps on the ectomycorrhizae of yellow birch and vesicular-arbuscular mycorrhizae of sugar maples collected from two deciduous forests in central Quebec were examined. The colonization of maple roots by arbuscules, vesicles, and coils were quantified. Colonization by ectomycorrhizal fungi was quantified and characterized using morphotyping and molecular techniques. In the 1-yr old 1000 m 2 cuts, colonization increased in the maple roots as the season progressed. In October, there were more arbuscules in the seedlings from the gaps vs those from the uncut areas. No differences in ECM colonization between uncut and 1-year old gaps were noted in the yellow birch seedlings and high levels of colonization occurred throughout the season. In the 5- and 10-yr old gaps, colonization in both species increased as the season progressed, and higher colonization levels were present in the large (V100 m 2 ) vs small naturally occurring gaps (0-2 m 2 ). Based on morphotypes, species richness on yellow birch was unaffected by gap size and age, but diversity was slightly greater in the older gaps. Sixteen different ECM morphotypes were found, 10 of which were characterized using molecular methods, yielding 17 different restriction patterns. These results emphasize the importance of using molecular methods to back up morphological assays of ectomycorrhizal species richness.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.011
GPT teacher head0.213
Teacher spread0.202 · 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 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

Citations2
Published2000
Admission routes1
Has abstractyes

Explore more

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