Ecological correlates of diversification in New Zealand angiosperm lineages
Bibliographic record
Abstract
Abstract To examine whether ecological traits associated with the New Zealand flora might influence species richness, I used published molecular phylogenies to compare traits associated with species richness of monophyletic groups in New Zealand and the relative species richness of New Zealand and their sister lineages. Species richness in New Zealand lineages tended to be lower than but not significantly different from their sister lineages. New Zealand lineages with fleshy fruits have lower numbers of species than their sister lineages, suggesting that regional differences in community processes can influence speciation or extinction. Lineages with sister taxa found exclusively on islands are characterised by low species richness both in New Zealand and elsewhere. In addition, species number was higher in insect‐pollinated New Zealand lineages than in wind‐ or bird‐pollinated lineages. There was no association with other correlates of mating system, including plant woodiness, gender dimorphism, and floral display. These results suggest that long‐distance dispersal, dependence on a biotic disperser or pollinator, and time since diversification all contribute to the species richness of a lineage.
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".