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Record W4234519332 · doi:10.24124/2011/bpgub704

Understory vegetation-environment relationships of lichen-rich forests in north-central British Columbia.

2011· dissertation· en· W4234519332 on OpenAlexaboutno aff
Sean R. Haughian

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsnot available
Fundersnot available
KeywordsUnderstoryLichenCanopyEnvironmental scienceMicroclimateVegetation (pathology)EcologyAgronomyBiology

Abstract

fetched live from OpenAlex

I examined the environmental relationships of feathermosses, vascular plants, and mat-forming lichens in lodgepole pine forests. Seventy-two mature forest plots were surveyed using microhabitat-scale sampling for functional group abundance, canopy characteristics, nutrient availability, soil texture, topography, relative humidity and air temperature. Feathermosses positively associate with canopy closure, afternoon shade, nitrogen or base-cation availability, duff thickness, fine soil texture, and water-receiving positions. Lichens positively associate with total irradiance, aluminum:calcium availability, water-shedding positions, and base-cation or nitrogen deficiency. Vascular plants have higher within-group variability, but positively associate with direct irradiance, afternoon shade, canopy heterogeneity, duff thickness, nutrient availability, alkalinity, and fine soil texture. Lichen patches are characterized by lower atmospheric moisture than vascular plant or feathermoss patches, but microclimate is more strongly associated with macroclimate and soil than canopy or understory vegetation. Competition among functional groups probably occurs but is unimportant environmental filtering and initial floristics are more likely mechanism of niche partitioning. --P.i.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.302

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.189
Teacher spread0.164 · 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

Citations3
Published2011
Admission routes1
Has abstractyes

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