Life history, ecology and conservation of European seahorses
Why this work is in the frame
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Bibliographic record
Abstract
My thesis examined the implications of life history and ecology for population-level responses of the European long-snouted seahorse ( Hippocampus guttulatus Cuvier 1829) to habitat alteration, exploitation and a recommended minimum size limit for seahorse management. The research employed a mark-recapture study, underwater visual censuses (UVCs) and catch data from an unrelated experimental sampling program in the Ria Formosa Lagoon (southern Portugal). These small-bodied fish are characterized by rapid growth rate, early age at maturity, high natural mortality, short generation time, short life span and multiple spawnings per year, traits that are usually associated with resilience to exploitation. However specialized parental care, complex social interactions, small adult home ranges and benthic habit confer risk to H. guttulatus. Population-level responses to experimental reductions in non-selective fishing effort differed in magnitude and direction between H. guttulatus and its smaller congener, Hippocampus hippocampus: the abundance of H. guttulatus increased significantly while its congener decreased in abundance. Hippocampus guttulatus preferred more complex, vegetated habitats, while H. hippocampus preferred more open, sparsely vegetated habitats. Thus it seems probable that H. guttulatus fared better in the more complex habitats that developed when seining stopped, whereas H. hippocampus fared better in the less complex habitat arising from repeated seining. I used an age-structured stochastic simulation to evaluate the biological implications of a recommended generic strategy (10 cm minimum size limit) for managing the exploitation and international trade of seahorses, using H. guttulatus as a model. The smallest size limit that was robust (using the magnitude of population decline and probability of quasi-extinction as criteria) to a range of fishing rates, maximum population growth rates (rmax) and models of density-dependence
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.
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) | 0.000 | 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 it