Effects of bird ingestion on seed germination of <i>Vaccinium cylindraceum</i> (Ericaceae), an endemic species of the Azores archipelago<sup>1</sup>This article is part of a Special Issue entitled “A tribute to Sam Vander Kloet FLS: Pure and applied research from blueberries to heathland ecology”.
Bibliographic record
Abstract
In this paper we investigate the effects of bird ingestion on Vaccinium cylindraceum Smith seed germination characteristics and the effect of a lack of bird dispersal on seed germination in the field. To test the effect of bird ingestion on seed germination, we carried out laboratory germination trials using ingested seeds and manually depulped seeds. To test the effect of a lack of bird dispersal on seed germination, we carried out germination trials using intact fruits above or under a cap of dead leaves under field conditions. The number of damaged seeds per fruit differed between species. Nearly 92% and 70% of the seeds ingested by, respectively, Erithacus rubecula and Turdus merula passed intact through the birds’ digestive tracts, and the germination characteristics of these seeds were not significantly affected. Only 16% of the seeds ingested passed intact through the digestive tract of Fringilla coelebs , and the germination ability of these seeds was significantly reduced. Uncovered intact berries in the field cracked, exposing the seeds to light, thus resulting in 18% of germination. Our results suggest that E. rubecula, T. merula, and F. coelebs can act as seed dispersers of V. cylindraceum. Also, V. cylindraceum seeds do not need to be ingested to germinate, but seed germination is enhanced as a consequence of seed exposure to light.
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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 | 0.000 |
| 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".