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Record W2115296342 · doi:10.3732/ajb.89.3.479

Factors responsible for <i>Honckenya peploides</i> (Caryophyllaceae) and <i>Leymus mollis</i> (Poaceae) spatial segregation on subarctic coastal dunes

2002· article· en· W2115296342 on OpenAlexafffundabout
Jean‐Michel Gagné, Gilles Houle

Bibliographic record

VenueAmerican Journal of Botany · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsUniversité LavalCenter for Northern Studies
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologySubarctic climateSand dune stabilizationTussockPoaceaeEcologyAgronomyForedunePerennial plantSalinityBotany

Abstract

fetched live from OpenAlex

Low water and nutrient availability and significant sand movement, salt spray, and soil salinity are typical of coastal dunes. These conditions are generally unfavorable for the various life stages of plants and especially for seedlings. However, the intensity of these stresses decreases landward, even over short distances, with significant effects on community composition. On coastal dunes in subarctic Québec, Canada, Honckenya peploides (Caryophyllaceae) colonizes the upper beach where it forms small mounds called embryo dunes. Leymus mollis (Poaceae) is mostly restricted to the foredune; however, a few individuals successfully establish on the upper beach, particularly on embryo dunes. We hypothesized that this differential distribution is associated with differences in the tolerance of the two species' seedlings to physical stresses. Honckenya peploides and L. mollis seedling tolerance to sand burial, salt spray, soil salinity, and nutrient and water availability was assessed in greenhouse experiments. Unexpectedly, our results showed that tolerance to sand burial, salt spray, and soil salinity was lower for H. peploides than for L. mollis. If seeds are available and seedlings tolerate the conditions prevailing on the upper beach well, why are mature L. mollis individuals rare in this habitat? We suggest that massive abrasion events (e.g., violent storm waves and ice thrust) restrict the presence of the species on the upper beach.

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)0.000
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 score0.017
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.014
GPT teacher head0.225
Teacher spread0.210 · 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

Citations32
Published2002
Admission routes3
Has abstractyes

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