A Review of American Lobster (<i>Homarus americanus</i>) Research Since 2000
Bibliographic record
Abstract
The last quarter century has produced a remarkable amount of scientific research on the data-rich and immensely important American lobster (Homarus americanus). In fact, more than 1000 peer-reviewed papers have been published on the species since 2000, advancing all aspects of lobster science, research, and management. Many of these efforts have been motivated by large-scale alterations in ecosystems in the Northwest Atlantic due to climate change, including changes in temperature, water chemistry, ecosystem productivity, and oceanography. These changes have driven researchers to focus on the many direct and indirect impacts that climate change has had on the most valuable single-species fishery in North America. The goal of this review is to provide a summary of the major findings in lobster science over the last quarter century, with an emphasis on how anthropogenic impacts and environmental modifications might impact lobsters and the lobster fishery in the future as well as to serve as a touchstone for the next 25 years within the context of a dynamic and changing ecosystem. This review also includes a summary of important topics and ideas for further research, especially those with knowledge gaps, in the hope that it can help guide future approaches to American lobster research and further improvements to fisheries management.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".