Habitat preference of the epiphyte<i>Tillandsia recurvata</i>(Bromeliaceae) in a semi-desert environment in Central Mexico
Bibliographic record
Abstract
Tillandsia recurvata L. is an atmospheric epiphyte that occupies tree canopies in many parts of tropical America. We investigated the host preferences of this species by analyzing its occurrence on trees in a 1-ha plot in a semi-desert environment in Mexico. Additionally, we carried out germination experiments and recorded seedling survival and growth in different microsites on the three preferred host species. Our results indicate that T. recurvata occupies the crowns of certain host species (Prosopis laevigata (Humb. & Bonpl. ex Willd.) M.C. Harms, Acacia bilimekii Macbr., and Cercidium praecox (Ruiz & Pav.) Harms) with a higher frequency than expected by chance. In addition to species identity, tree size affected the probability of being occupied: small trees were occupied with lower frequencies and with lower densities than larger ones. On the other hand, distance to the nearest colonized tree was not related to the probability of a tree being occupied. Seed germination ranged from 0% to 7.5% and did not differ among the three host species tested. However, both seed germination and seedling growth were higher in the outer and upper parts of tree crowns. Given the patchy distribution of this epiphyte, we propose this system may be viewed as a metapopulation in which patch suitability varies according to host identity and size.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".