Initiation of oviposition after winter diapause in the spider mite <i>Tetranychus urticae</i> (Acari: Tetranychidae): prediction and historical patterns
Bibliographic record
Abstract
Abstract The rate of development from winter diapause to initial oviposition for Tetranychus urticae on strawberry, Fragaria × ananassa, in southwestern British Columbia, Canada, was linearly related to temperature above 9.4 ± 0.71°C. Initial oviposition (IO) in the field, defined as the day at which half of the leaflets with T. urticae also had T. urticae eggs (IO0.5), was determined for 21 populations between 1988 and 2006 by logistic curve fitting to sequential field samples. Prediction of IO0.5 required adjustment of air temperatures for the effects of cloud opacity on microclimate, otherwise predictions were 20–30 days late. A thermal summation start date of 27 November was determined by iteratively summing day‐degrees (>9.4°C) from different start dates until IO0.5, for 10 calibration populations, and observing when the coefficient of variation for the mean thermal requirement was minimal. The thermal requirement for the 10 calibration populations was negatively correlated with accumulated cold‐rest hours (<4.0°C). Model predictions of IO0.5 were not significantly different from the validation data. Predictions for 1954–2003 were positively correlated with the mean monthly Southern Oscillation Index (SOI) during September–December and negatively correlated with year (R2 = 0.36, P < 0.0001), indicating some potential for prediction of IO0.5 2–3 months in advance. Estimated IO0.5 in 2003 was 12.8 days earlier than in the mid‐1950s, and variation in IO0.5 related to the SOI was 25.2 days. These results may be generally applicable to other temperate arthropods that emerge at the same time as T. urticae, such as the aphids Chaetosiphon fragaefolii on strawberry, and Ericaphis fimbriata on blueberry.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".