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Record W6999936645

Distribution patterns of sedges in subarctic fens : ecological and phylogenetic perspectives

2004· dissertation· en· W6999936645 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2004
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubarctic climatePhylogenetic treeCarexCladeSpecies distributionErebidaeEnvironmental gradient
DOInot available

Abstract

fetched live from OpenAlex

The objective of this study is to assess current distributional patterns of species within a community, while taking into account species' evolutionary histories, as reflected in their phylogenetic relationships. The hypothesis is that closely related species segregate along environmental gradients, either due to historic evolutionary divergence of their niches, or to ecological processes presently occurring within a community. Distribution along environmental gradients was compared to phylogenetic structure of the 27 sedge species (Cyperaceae) growing in the subarctic fen communities of Schefferville, northern Quebec. Field data suggest that within these fens, sedges mostly differentiate along gradients of rooting depth and pH. Species growing in similar (micro)habitats often belong to different taxonomic sedge clades, and species belonging to the same clade usually differentiate on at least one environmental gradient. Further comparison of natural distribution to responses under greenhouse experimental conditions for four selected Carex species suggests that the two relatives in section Limosae differ in their tolerance ranges to environmental conditions due to past evolutionary events, while the two members of section Paniceae differentiate along environmental gradients in nature due to ongoing ecological processes.

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 score0.155
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.018
GPT teacher head0.221
Teacher spread0.203 · 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

Citations1
Published2004
Admission routes1
Has abstractyes

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