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Record W561450116

The relative influence of microhabitat constraints and rock climbing disturbance to cliff face vegetation communities

2004· book· en· W561450116 on OpenAlexaboutno aff
Kathryn Lynne Kuntz

Bibliographic record

VenueThe Atrium (University of Guelph) · 2004
Typebook
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsCliffClimbingDisturbance (geology)Vegetation (pathology)GeographyFace (sociological concept)EcologyPhysical geographyGeologyGeomorphologyArchaeologyBiology
DOInot available

Abstract

fetched live from OpenAlex

This study is the first to determine the relative influence of pre-existing microhabitat conditions vs. direct rock climbing disturbance to the cliff face vegetation communities of the Niagara Escarpment in southern Ontario. Climbed and unclimbed cliff faces were sampled quantitatively for vascular plant, bryophyte and lichen species richness, percent frequency and community composition, microtopographic feature size and frequency, and measures influencing microclimate. Results revealed that certain microhabitat conditions are related to increases in the richness and cover of cliff face vegetation, and that rock climbers select for different microhabitat conditions when establishing climbing routes. No decreases in vascular plant, bryophyte or lichen species richness or cover on climbed cliff faces were attributable to direct climbing disturbance. Pre-existing microhabitat conditions explained greater proportions of variation in vegetation community composition across unclimbed and climbed cliff faces than climbing disturbance. A policy is presented that permits new climbing route establishment with limited impact.

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 score0.271
Threshold uncertainty score0.538

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.016
GPT teacher head0.207
Teacher spread0.191 · 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

Citations2
Published2004
Admission routes1
Has abstractyes

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