A relationship between metabolic rate and risk‐taking behaviour is revealed during hypoxia in juvenile European sea bass
Bibliographic record
Abstract
Summary 1. Inter‐individual variation in metabolic rate exists in a wide range of taxa. While this variation appears to be linked to numerous aspects of animal behaviour and personality, the ecological relevance of these relationships is not understood. The behavioural response of individual fish to acute aquatic hypoxia, for example, could be related to metabolic rate via influences on oxygen demand or the willingness to take risks. Individuals with higher metabolic rates could show greater hypoxia‐associated increases in activity that could allow them to locate areas with increased oxygen availability but that also make them susceptible to predation. Any relationship between metabolic rate and risk‐taking behaviour among individual fish could therefore be modulated by environmental oxygen levels, perhaps becoming stronger as oxygen availability declines. 2. We measured spontaneous swimming activity as an index of risk‐taking by juvenile European sea bass in normoxia, moderate hypoxia (40% air saturation) and severe hypoxia (20% air saturation) after being startled by a predator model. All fish were also separately measured for routine metabolic rate by measuring oxygen uptake. 3. In hypoxia, fish re‐emerged from cover sooner after a simulated attack and were generally more active than when the same fish were startled in normoxia. In addition, individual activity and risk‐taking in severe hypoxia were positively correlated with metabolic rate. Aquatic surface respiration was a major contributor towards increased activity in hypoxia and was positively related to metabolic rate during severe hypoxia. There were no relationships between risk‐taking and metabolic rate in moderate hypoxia or normoxia. 4. Relative measures of risk‐taking among individual fish were not consistent among oxygen levels, further suggesting that individuals differ in sensitivity to hypoxia and the degree to which this environmental stressor affects risk‐taking behaviour. 5. These results suggest that fish with relatively high metabolic rates become more active during acute hypoxia, possibly leading to increased susceptibility to predation in response to differences in metabolic demand. In addition, the relationship between metabolic rate and risk‐taking may only be observable during exposure to a physiological stressor or such a stressor may strengthen any relationships observable under more benign conditions.
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.
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 | 0.000 | 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) | 0.001 | 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".