Bibliographic record
Abstract
Mosquitoes ( Culex pipiens L., 1758) are important vectors for diseases of both wildlife and humans. Understanding how natural factors influence mosquito abundance may provide insights into the ecology of various diseases, as well as solutions to controlling disease vectors. One of the natural factors regulating mosquito distributions and population sizes is predation. A poorly understood source of natural mosquito predation is amphibians. We determined the mosquito consumption capability of two amphibians, adult Red-spotted Newts ( Notophthalmus viridescens viridescens (Rafinesque, 1820)) and larval Mole Salamanders ( Ambystoma talpoideum (Holbrook, 1838)). We also compared mosquito consumption of eastern mosquitofish ( Gambusia holbrooki Girard, 1859), a known predator of mosquitoes, and A. talpoideum. Both salamander species were capable of consuming large numbers of mosquito larvae per day (least-square means ± 1 SE = 439 ± 20 and 316 ± 35 mosquitoes/day consumed by A. talpoideum and N. v. viridescens, respectively). In A. talpoideum, mosquito consumption scaled with body size, with the largest individual (4.4 g) ingesting 902 mosquitoes in 1 day. Gambusia holbrooki consumed 3.5× more mosquitoes during a 24 h feeding trial than similar-sized A. talpoideum. Our findings suggest that amphibians could have a substantial impact on mosquito larvae abundance, especially considering that amphibians can reach densities of up to 500 000 individuals/ha. Furthermore, we hypothesize that introduction of G. holbrooki could reduce abundances of native mosquito predators (e.g., salamanders) indirectly, through competition for invertebrate prey.
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) | 0.003 | 0.001 |
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".