Habitat‐mediated soundscape conservation in marine ecosystems
Bibliographic record
Abstract
The nexus between changing habitats, faunal communities, and anthropogenic stressors represents an enduring conservation challenge. We propose that habitat‐mediated soundscape conservation—the ability of biogenic habitats to attenuate anthropogenic noise—plays an unrecognized role in mitigating underwater noise pollution, a pervasive disturbance that disrupts the ability of species to perceive acoustic cues and communicate. We hypothesize that noise attenuation depends on the composition and physical complexity of biogenic habitats, and severe habitat degradation can cause acoustic conditions to exceed ecological tipping points, resulting in the emergence of alternative acoustic states. We examine this concept in coral reefs and kelp forests, given that the global decline of both ecosystems provides the requisite conditions to investigate our hypothesis. We then explore why anthropogenic structures fail to provide acoustic refugia. Finally, we assess whether habitat restoration or acoustic enrichment can reestablish natural soundscapes. Our review underscores the importance of considering habitat degradation when evaluating the risk that pollutants pose to ecosystems.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".