An individual-based model to evaluate the potential contribution of benthic resources to growth and production of a vertically migrating omnivorous macroinvertebrate
Bibliographic record
Abstract
Omnivores that move across habitats likely provide systems with resistance to changing conditions. In lakes, Mysis may buffer these changes by accessing resources from both green (pelagic) and brown (benthic) energy pathways through diel vertical migration (DVM). However, Mysis exhibit partial DVM (pDVM), complicating the assessment of each pathway’s contributions. We developed an individual-based model (IBM) to explore how migration behavior, under seasonally varying pelagic resources, influences the relative contribution of benthic- and pelagic-based resources to Mysis growth and reproduction, assuming migration is driven solely by daily light cycles. Model growth and reproductive output were generally maximized and lifespan minimized with increasing pelagic resource profitability, consistent with field observations. However, some individuals grew larger and produced more offspring when pDVM slowed their growth but increased their lifespan, suggesting scope for different life history strategies to emerge from the model. Our IBM provides a foundation to integrate additional factors, such as size-dependent processes, to explore the mechanisms driving pDVM and how Mysis may respond to altered lake 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".