Movements associated with home-range establishment by two species of lowland river fish
Bibliographic record
Abstract
Individuals that occupy restricted home ranges for long periods have little chance to sample surrounding habitats and may only be able to respond to changes in the distribution of resources at very local scales. Processes leading to the selection of a home range, therefore, potentially have an important bearing on individual fitness and, ultimately, on population structure. In this study, movements associated with the establishment of home ranges by golden perch (Macquaria ambigua) and common carp (Cyprinus carpio) in an Australian lowland river were examined using radiotelemetry. To examine behaviour associated with exploration and settlement into new home ranges, fish were artificially translocated into an unfamiliar river section. Although there was substantial intraspecific variation in patterns of movement, all fish tracked over the entire study period eventually settled into restricted home ranges. Several fish of both species either moved away from established home ranges and settled in new areas, or undertook large-scale movements and subsequently returned to the original home range. It is suggested that such movements may provide a mechanism by which fish can reap the benefits of home-range occupation whilst still being able to respond to changes in the distributions of spatially and temporally dynamic resources.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".