Conservation translocation of Atlantic wolffish (<i>Anarhichas lupus</i>) to a depleted Arctic fjord ecosystem
Bibliographic record
Abstract
Predators have important functional roles in coastal ecosystems. In cases where such species are locally depleted or extirpated, a proactive restoration strategy may include conservation translocation. This study reports on such translocations of Atlantic wolffish ( Anarhichas lupus) to fjord habitats in northern Norway where the species is currently severely depleted. A total of 20 pioneer individuals measuring 42–80 cm in length were captured in outer coastal habitats and subsequently tagged, released, and tracked within a fjord using acoustic telemetry. A first group of seven individuals were monitored for 14 months during 2017 and 2018, while a second group of 13 individuals were monitored for 4 months during 2019. Up to 40% of translocated wolffish remained inside their new fjord environment until the study was terminated, while the remaining 60% likely dispersed. Weekly home range size decreased substantially with time for larger fish, while this trend was weaker for smaller fish. Our study implies that there is reason for cautious optimism regarding the implementation of conservation translocation of wolffish in coastal ecosystems, while acknowledging the challenge of accounting for animal dispersal in aquatic systems.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".