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Record W2608581474 · doi:10.1111/jvs.12536

Divergence between riparian seed banks and standing vegetation increases along successional trajectories

2017· article· en· W2608581474 on OpenAlex
Bérenger Bourgeois, Céline Boutin, Anne Vanasse, Monique Poulin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Vegetation Science · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsCarleton UniversityEnvironment and Climate Change CanadaMcGill UniversityUniversité Laval
FundersEnvironment and Climate Change CanadaNational Wildlife Research CenterNatural Sciences and Engineering Research Council of CanadaMitacsMinistère de l'Agriculture, des Pêcheries et de l'Alimentation
KeywordsRiparian zoneSpecies richnessSoil seed bankEcologyEcological successionRiparian forestPlant communityVegetation (pathology)BankSecondary successionGeographyHabitatBiologyAgroforestrySeedlingAgronomy

Abstract

fetched live from OpenAlex

Abstract Questions Plant community resilience largely depends on the secondary succession induced by species re‐colonization from seed banks. Soil seed bank resilience is, however, poorly understood, especially in regularly disturbed habitats like riparian zones. Two questions were asked: (1) what are the changes in species diversity experienced by riparian soil seed banks along successional trajectories, and (2) to what extent do riparian soil seed banks promote vegetation resilience during secondary succession? Location Southeast Quebec, Canada. Methods Soils were collected along five rivers in field edges and riverbanks of post‐agricultural riparian zones with three contrasting successional stages (unplanted, planted with trees 15–17 yr prior to sampling, natural riparian forests), and their seed bank composition determined with the seedling emergence method. Species richness in seed banks was assessed along successional trajectories for distinct ecological groups, using LMM . The compositions of soil seed banks and standing vegetation (from botanical surveys) were compared based on NMDS and indicator species analysis. Results Seed bank species richness decreased along successional trajectories. Tree‐planted riparian zones were generally closer to unplanted riparian zones than to natural riparian forests, the latter being more species‐rich for natives, trees, shrubs and zoochores, and species‐poor for exotics, forbs and stress‐tolerators. Likewise, seed bank species composition of unplanted and tree‐planted riparian zones was similar but differed from that of natural riparian forests. Conversely, standing vegetation of tree‐planted riparian zones was intermediate between early and late successional stages, at least at field edges. For the three successional stages, seed bank composition clearly differed from standing vegetation. Conclusions The high resilience of riparian plant communities appeared poorly related to the dynamics of their soil seed banks. This species shift between seed banks and standing vegetation during secondary succession is likely due to periodic flooding, leading to the regular turnover of seeds. The resilience of riparian communities might thus be more influenced by spatial dispersal along rivers and across landscapes than by in situ temporal dispersal in soils.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.003
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 head0.022
GPT teacher head0.298
Teacher spread0.276 · 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