Does a warmer lake mean smaller benthic algae? Evidence against the importance of temperature–size relationships in natural systems
Bibliographic record
Abstract
Ectotherms decrease in size with increasing ambient temperature. Temperature–size relationships (TSR) have been observed experimentally in a wide range of animals, algae, protozoans and bacteria. However, it is still unclear whether temperature is an important factor controlling the size of organisms in natural populations. In this study, we used natural variability in water temperature in the nearshore areas of a single lake to test TSR in populations of benthic diatoms. We deployed standard tile substrates at 5 m depth (similar light availability) at cold and warm sites that were exposed to different hydrodynamic forces. We compared cell sizes of three species of diatoms ( Achnanthidium minutissimum, Gomphonema acuminatum and Gyrosigma acuminatum ) at these sites. Counter to the TSR, diatom cells at warm sites were either larger ( Achnanthidium, Gomphonema ) or similar in size ( Gyrosigma ) compared to those at colder sites. Diatom size was also related to site exposure (hydrodynamic forces), but differently for species with different architectures. TSR were not detectable in the field for these three species of benthic diatom, even when tested within a single ecosystem at a given time of the year. The size of benthic diatoms, however, varied in a predictable way between sites, and such differences could affect the functioning of these primary producers in different parts of the littoral zone.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".