Habitat-specific performance of high-frequency acoustic telemetry tags in a tropical marine environment
Bibliographic record
Abstract
High-frequency (>175 kHz) acoustic telemetry transmitters are increasingly being used to track the movements of small fishes and other aquatic organisms. These transmitters, which are often smaller than conventional types, have primarily been used in freshwater, yet limited information is available on their efficacy in estuarine or marine environments. This study quantified detection ranges (DR) of 180-kHz tags and potential environmental factors influencing detection probability in three different habitats within a large embayment in Costa Rica. Mangrove (DR at 50% detection efficiency; DR50 = 121.0 m ± 8.1 s.e.) and transitional estuarine (DR50 = 145.6 m ± 12.2) habitats had relatively high detection ranges, albeit smaller than similar studies in freshwater, highlighting the effectiveness of using this frequency in tropical marine environments. By contrast, performance within rocky reef habitat was poor (DR50 consistently <0 m), which may have been caused by the heterogeneous bottom structure or close proximity detection interference (CPDI) due to ambient noise. This study provides novel information on the performance of high-frequency acoustic tags in a tropical marine environment serving as an important case study as investigations of the spatial ecology of small fishes in both marine and freshwater become more common.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.008 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 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".