Investigating Effect of Seed Source and Developing Germination Protocols to Improve Success in Restoration of Arkansas Tallgrass Prairies
Bibliographic record
Abstract
American tallgrass prairie has faced losses estimated at 87-98% of original land area since European settlement. Native seeds are often used to supplement struggling or extinct plant populations in tallgrass prairie restoration and establishment sites. Two main considerations in restoration and establishment are from where to source seed and how to obtain high germination rates. In order to determine the effect of seed source, a common garden experiment was performed in Fayetteville, Arkansas in 2022 with five prairie species: Andropogon gerardii (big bluestem), Bouteloua curtipendula (sideoats grama), Panicum virgatum (switchgrass), Schizachyrium scoparium (little bluestem), and Sorghastrum nutans (Indiangrass). Seed was sourced from Oklahoma, Kentucky, Illinois, South Dakota, North Dakota, Minnesota, and Ontario, Canada. These sources represented a variety of latitudinal distances from the common garden. Differences in date of anthesis of first culm, mature height of tallest growing point, annual aboveground biomass production, and annual seed production of the individuals were analyzed among sources. The preliminary conclusion was that seed source does not affect success of a restoration or establishment, as there were very few significant differences in the measured characteristics among sources, and only one instance of the closer source being significantly taller with more biomass than the further source. Germination trials were conducted to investigate how germination pretreatments would affect germination rate for tallgrass prairie species, including fourteen common grasses and forbs found in Arkansas prairies. Seeds for each species were obtained from multiple sources across the USA and Canada. Pretreatments in the study included sterilization with hydrogen peroxide, dry and moist stratification of varying durations (1, 2, or 3 months), mechanical scarification with sandpaper, thermal scarification with boiling water, chemical scarification with hydrogen peroxide, and hormonal treatment with gibberellic acid. Across all species, there were minimal instances where a pretreatment significantly improved germination rate. One consistent finding was that thermal scarification with boiling water should be avoided unless specifically prescribed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".