Fish as potential dispersal agents for floodplain plants: first evidence in North America
Bibliographic record
Abstract
In river–floodplain ecosystems with seasonal flood pulses, many species display adaptations to take advantage of resources in the aquatic–terrestrial transition zone. Frugivory and seed dispersal by fishes is a clear example of such adaptations, known primarily from South American river–floodplain systems. Here, we document consumption of red mulberry (Morus rubra) and swamp privet (Forestiera acuminata) fruit by channel catfish (Ictalurus punctatus) in the floodplain of the Mississippi River, U.S.A., and demonstrate that red mulberry and swamp privet seeds will germinate after being consumed by channel catfish. In a common-garden experiment, consumption of fruits and seeds by channel catfish improved germination success of these riparian plants relative to a treatment simulating fruit dropped during a flood without being consumed by fish. This is the first study to provide evidence of frugivory and viability of seeds ingested by fish in a North American river–floodplain ecosystem. Frugivory and seed dispersal by fishes may be more widespread than previously thought.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".