MétaCan
Menu
Back to cohort
Record W4366117442 · doi:10.3368/npj.24.1.33

Substrate moisture and texture affect germination in Houghton’s goldenrod (<i>Solidago houghtonii</i>), a federally protected Great Lakes endemic plant

2023· article· en· W4366117442 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNative Plants Journal · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationThreatened speciesEndangered speciesBiologyHabitatPerennial plantSeedlingSubstrate (aquarium)EcologyBotany

Abstract

fetched live from OpenAlex

Rare plants garner significant conservation attention, but many have knowledge gaps associated with their life histories. This missing information presents a substantial hurdle for applied conservation. Houghton’s goldenrod (<i>Solidago houghtonii</i> Torrey &amp; A. Gray [Asteraceae]) is a Great Lakes endemic perennial that is often locally abundant but is limited to a narrow region in Michigan, New York, and Ontario. This species is federally listed in the US as threatened, state listed as threatened in Michigan and endangered in New York, and is a species of special concern in Canada. There may be enough viable <i>S. houghtonii</i> populations to meet the US federal recovery criterion, but more data are needed regarding long-term persistence within and across populations, especially related to successful sexual reproduction—key in most seed plants’ long-term persistence. As part of a range-wide study on the species, we performed greenhouse and field experiments to evaluate the effects of substrate moisture and texture on germination success. In both experimental contexts, we found that <i>S. houghtonii</i> germination significantly increased with increased substrate moisture and smoother substrate texture. In addition, a post hoc exploratory analysis on the effects of disturbance on germination showed higher germination in plots with higher disturbance levels, though this trend was not statistically significant. These results add to the limited life history information available for <i>S. houghtonii</i>. Our findings also suggest that substrate texture may be an easily characterized habitat variable that predicts germination for other species because of its relationship to consistent moisture contact for seeds. Weber JB, Leopold DL. 2023. Substrate moisture and texture affect germination in Houghton’s goldenrod (<i>Solidago houghtonii</i>), a federally protected Great Lakes endemic plant. Native Plants Journal 24(1):33–43.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.922
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.258
Teacher spread0.233 · 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