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Record W7123275249 · doi:10.5061/dryad.18931zd8x

A dominant plant species and insects independently and interactively shape plant community structure and ecosystem function above- and below-ground

2025· dataset· en· W7123275249 on OpenAlexaboutno aff
Julia Eckberg, Nathan Sanders

Bibliographic record

VenueDRYAD · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSolidago canadensisEcosystemPlant communityBiomass (ecology)Community structurePlant speciesTerrestrial ecosystemPlant functional typePlant cover

Abstract

fetched live from OpenAlex

It is well-established that dominant plant species and insects independently shape community structure and ecosystem function in terrestrial plant communities. Critically, few studies have assessed the combined effects of these two drivers of plant community structure and ecosystem function above- and below-ground or tracked whether their effects change over time. We factorially manipulated the dominant plant species Solidago canadensis (Canada goldenrod) and insects in an old field at Matthaei Botanical Garden in Ann Arbor, Michigan for three years and quantified their effects on plant diversity, biomass, functional traits, microclimate, and decomposition. Solidago canadensis and insects independently and interactivley shaped plant biomass, the community weighted mean of plant functional traits, soil microclimate, and the estimated decomposition rate of soil organic matter. Overtime, S. canadensis and insects independently and interactively affected the temporal stability of plant biomass but not species richness. Taken together, our results highlight the need to consider the combined effects of dominant plants and insects above- and below-ground, as well as through time, in order to improve our understanding of their role in structuring communities and ecosystems

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.041
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.012

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 head0.237
Teacher spread0.221 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2025
Admission routes1
Has abstractyes

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