An experimental test of the effects of temperature and resource quality on carrying capacity
Bibliographic record
Abstract
The metabolic theory of ecology links the effects of temperature on metabolic rates at the cellular scale to larger-scale ecological processes, providing a framework for predicting how individuals, populations and communities will respond to climate change. Metabolic theory predicts that carrying capacity will have a unimodal (hump-shaped) response to temperature, and that this relationship could be altered by resource availability. However, few studies have empirically tested these predictions, despite the fundamental role that carrying capacity plays in governing population and community dynamics. To test the effect of temperature on carrying capacity and to determine whether this is mediated by resource quality, we conducted a fully crossed experiment in which we grew populations of the model organism Tribolium castaneum for 22 weeks at all 12 treatment combinations of four temperatures (27.5, 30, 32.5, 35°C) and three resource qualities (flour mixtures). Our results support the prediction that carrying capacity has a unimodal relationship with temperature, however resource quality did not alter this relationship. These findings support emerging theory describing temperature's effect on carrying capacity, and contribute to our understanding of how population dynamics will shift under climate change.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".