Habitat associations and threat vulnerabilities of seahorses and pipefishes (Syngnathidae) in Biscayne National Park, Florida, USA
Bibliographic record
Abstract
Habitat loss is a primary threat to seahorses, pipefishes, and their relatives (family Syngnathidae) globally. Conservation intervention is difficult or ineffective when species lack critical habitat information. To better understand the habitat associations of syngnathids we conducted underwater visual surveys of 79 sites in three habitat categories (Reef, Continuous, and Discontinuous Submerged Rooted Vegetation) in Biscayne National Park (BNP), a coastal Marine Protected Area (MPA) in southeastern Florida. We recorded nine syngnathid species in our surveys; presence/ absence data was analyzed alongside a suite of abiotic and biotic variables. Nonparametric statistical tests indicated that syngnathids were significantly more abundant inside Biscayne Bay and we did not detect any syngnathids at reef sites—located outside Biscayne Bay—despite reef-associated species being previously reported in BNP. Additional analyses indicated that sites where syngnathids were present were characterized by fine sediment, reduced horizontal visibility, high seagrass coverage, and low coverage of sessile benthic invertebrates and reef-associated turf algae. The most important predictor of syngnathid presence was a predominance of fine sediment—an indicator of low-velocity hydrodynamic conditions—and seagrass coverage at occupied sites was nearly double that of unoccupied sites. Variation in habitat use among the three most abundant sympatric syngnathids (Hippocampus zosterae, S yngnathus scovelli, and Syngnathus floridae) indicates niche partitioning based on salinity, local hydrodynamic regime, and seagrass coverage. Our study points to the value of protecting sheltered seagrass beds; heightened vulnerability to habitat change—driven by watershed development, impacts from fisheries, recreation and tourism, and climate change—necessitates coordinated management of land use outside of the protected area.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".