DO REEFS DRIVE DIVERSIFICATION IN MARINE TELEOSTS? EVIDENCE FROM THE PUFFERFISH AND THEIR ALLIES (ORDER TETRAODONTIFORMES)
Bibliographic record
Abstract
A major challenge in evolutionary biology lies in explaining patterns of high species numbers found in biodiversity hot spots. Tropical coral reefs underlie most marine hot spots and reef-associated fish faunas represent some of the most diverse assemblages of vertebrates on the planet. Although the standing diversity of modern reef fish clades is usually attributed to their ecological association with corals, untangling temporal patterns of codiversification has traditionally proved difficult. In addition, owing to uncertainty in higher-level relationships among acanthomorph fish, there have been few opportunities to test the assumption that reef-association itself leads to higher rates of diversification compared to other habitats. Here we use relaxed-clock methods in conjunction with statistical measures of species accumulation and phylogenetic comparative methods to clarify the temporal pattern of diversification in reef and nonreef-associated lineages of tetraodontiforms, a morphologically diverse order of teleost fish. We incorporate 11 fossil calibrations distributed across the tetraodontiform tree to infer divergence times and compare results from models of autocorrelated and uncorrelated evolutionary rates. All major tetraodontiform reef crown groups have significantly higher rates of diversification than the order as a whole. None of the nonreef-associated families show this pattern with the exception of the aracanid boxfish. Independent contrasts analysis also reveals a significantly positive relationship between diversification rate and proportion of reef-associated species within each family when aracanids are excluded. Reef association appears to have increased diversification rate within tetraodontiforms. We suggest that both intrinsic factors of reef habitat and extrinsic factors relating to the provincialization and regionalization of the marine biota during the Miocene (about 23-5 MY) played a role in shaping these patterns of diversity.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".