Ontogenetic niche shifts and their implications for recruitment in three clonal<i>Vaccinium</i>shrubs:<i>Vaccinium myrtillus</i>,<i>Vaccinium vitis-idaea</i>, and<i>Vaccinium oxycoccos</i>
Bibliographic record
Abstract
Ontogenetic niche shifts, i.e., changes in niche breadth and (or) position during the life of individuals, have received rather limited attention in plant ecology. An experiment was designed to assess ontogenetic niche shifts in three clonal Vaccinium shrubs in order to examine their recruitment behavior. Seeds were sown, and juveniles transplanted, at sites along a gradient of changing occurrence of the three species. Recruitment was seed limited, varied among sites, and was correlated with juvenile survivorship. No niche shift occurred during seed to seedling stages for any of the plants. For Vaccinium myrtillus L., recruitment was not related to adult occurrence, whereas for Vaccinium oxycoccos L., recruitment was highest at the site where adults dominated. However, for both of these species, recruitment also occurred outside the range of adult occurrence. Vaccinium vitis-idaea L. exhibited a negative relationship between adult occurrence and recruitment and between adult occurrence and juvenile survivorship, indicating an ontogenetic niche shift. For V. myrtillus the results suggested an uncoupling of niche requirements of juvenile and adult stages, whereas for V. oxycoccos the results suggested a niche contraction towards the requirements for adults. Thus, the form of ontogenetic niche shifts differs among the species. These differences in niche shifts contribute to understanding dispersal and recruitment behavior of the species.Key words: clonal plants, dispersal, niche shifts, recruitment.
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 | 0.000 |
| 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".