Longevity of experimentally buried seed in<i>Vaccinium</i>: relationship to climate, reproductive factors and natural seed banks
Bibliographic record
Abstract
Summary The fleshy fruited species ofVacciniumare known for their spatial dispersal ability but have generally been found to have poor representation in soil seed banks. A buried seed experiment was conducted with 28 species ofVaccinium, in which seed lots were exhumed at intervals for up to 17 years. Mean species seed longevity was 8.65 years. For five species that persisted in soil for 15–17 years, regression indicates survival times of more than 20 years. Climatic factors (particularly annual temperature range in the centre of the species’ distribution range) alone accounted for 42% of the variation in seed longevity and reproductive variables for 55%. Models of fruit dispersal speed (rapid/tardy) demonstrated the link between spatial and temporal (seed longevity) dispersal and between spatial dispersal and habitat affinity (open/closed) of a species. The majority (87%) of species belonged to two of the four possible syndromes (rapid fruit dispersal/long‐term seed persistence or tardy dispersal/short‐term persistence); 84% of the former were open habitat species. Seed bank density is a function of seed potential longevity, seed rain and soil conditions. Regions that support species having greatest potential longevity have the smallest seed banks. Annual temperature range was positively correlated with potential longevity but negatively correlated with actual seed bank densities. Lack of recruitment via seed inVacciniumspecies in arctic regions may limit genetic variability in these clonal plants and impede population responses to climate changes.
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 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".