The Influence of Environmental Temperature and Humidity on the Elevational and Temporal Distributions of Rove Beetles (Coleoptera: Staphylinidae) in a Quercus L. Forest in Jalisco, Mexico
Why this work is in the frame
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Bibliographic record
Abstract
We analyzed the influence of humidity, temperature, and temporal and elevational distribution on the composition, abundance, and richness of rove beetle assemblages captured with carrion traps in a Quercus L. forest, Cerro de García, Jalisco, Mexico. Four sites with elevations ranging 2,100–2,700 m were surveyed. Beetles were captured monthly from September 2013 to August 2014. Three carrion traps were set at each sampling site, separated by 100 m distance. At each site, a data-logger was used to record temperature and humidity. In total, 18,054 rove beetles were captured, belonging to nine subfamilies, 11 tribes, 33 genera, and 75 species. The rove beetle assemblage showed the highest diversity during the rainy season (q = 0, 1 and 2) and the lowest during the dry season. The composition of the assemblage at 2,700 m elevation was mainly influenced by humidity and at 2,100 m by temperature. Beta diversity in the Quercus forest at different elevations and collecting periods was best explained by species replacements (shifts), and the interaction of humidity and temperature.
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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 | 0.001 | 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 it