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Record W2167507099 · doi:10.1139/b07-051

The soil seed bank of a montane meadow: consequences of conifer encroachment and implications for restoration

2007· article· en· W2167507099 on OpenAlexvenueno aff
Nicole L. Lang, Charles B. Halpern

Bibliographic record

VenueCanadian Journal of Botany · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRuderal speciesSoil seed bankChronosequenceSpecies richnessSeed dispersalEcologyBiologyVegetation (pathology)Plant ecologyCarexBiological dispersalEcological successionAgronomyPopulationHabitatGermination

Abstract

fetched live from OpenAlex

We examined changes in the soil seed bank associated with conifer encroachment of montane meadows in the western Cascade Range of Oregon. We asked whether, and over what period of time, meadow species maintain viable seeds in the soil, and by implication, whether the seed bank can contribute to restoration if conifers are removed. Seed bank composition, ground vegetation, and forest age structure were quantified for 209 samples representing a chronosequence of open meadow, young forest (<75 years), and old forest (95 to >200 years). The seed bank was substantial (44 taxa and 2332 germinants/m 2 ), but dominated by native ruderals (16 species comprising 71% of germinants). Greater than 70% of meadow species were absent from the seed bank. Thirteen meadow species accounted for 21% of all germinants, but most of these were the dominant sedge, Carex pensylvanica Lam.. Seed density, richness, and composition showed weak relationships to forest age, and little resemblance to the ground vegetation, which changed markedly with forest development. Our results suggest that there is limited potential for recovery of most meadow species via the seed bank. Natural reestablishment of these species will require seed dispersal or gradual vegetative spread from existing openings, but competitive interactions with ruderal or forest species may limit recruitment or recovery.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.174
Threshold uncertainty score0.839

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.243
Teacher spread0.229 · 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

Citations36
Published2007
Admission routes1
Has abstractyes

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