The main climate factors affecting wax excretion of Ericerus pela Chavannes Homopetera Coccidaeand an analysis of its ecological adaptability
Bibliographic record
Abstract
Chinese white wax scale,Ericerus pela Chavannes, is an important resource insect that excretes white wax with economic value. The ecological adaptability of this scale has been disputed for a long time. In this paper, the wax excretion mechanism of E. pela was studied depending on the wax excretion and ecological observation of this scale in Emei mountain of Sichuan province, and Kunming and Zhaotong of Yunnan province. The results showed that both the wax excretion amount and the mortality of E. pela in severe environment were higher than those in normal environment. So wax excretion amount was not a appropriate index for evaluating the ecological adaptability of the scale as traditionally considered. The reasons of breeding reproductive females in high mountain areas and producing white wax in low mountain areas were analyzed also in this paper. The areas suitable for the growth of the scale had the following climatic conditions: the annual average temperature was 11℃-16℃, the annual rain fall 800-1 200 mm/a, the annual relative humidity about 75% and the annual light hour 1 900-2 500 h/a. The results suggested that wax excretion of E. pela was an ecological strategy and a protective response to severe environment.
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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 | 0.000 |
| 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 | 0.000 |
| 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".