Irrigation and Grass Cover Effects on Pupal Survival Rates in Soil and Adult Emergence Patterns of Rhagoletis indifferens (Diptera: Tephritidae)
Bibliographic record
Abstract
Western cherry fruit fly, Rhagoletis indifferens (Curran; Diptera: Tephritidae), occurs in unmanaged cherries (Prunus spp.) across dry climates in Washington State and other regions in western United States and Canada. To help explain the fly's distribution in arid climates, we determined the effects of adding water to bare and grass-covered soils on pupal survival rates and adult emergence patterns of R. indifferens in central Washington. Water was added ('irrigated') or not to bare soil and grass-covered soil in cylinders pressed into the ground. Larvae were added to cylinders and pupal survival and adult fly emergence determined over three seasons. Irrigating bare soil had no effect on pupal survival or adult emergence, but in grass-covered soil, irrigation increased pupal survival (15.2-17.0% vs 6.7-9.5%) and adult emergence (2 of 3 yr, 12.8 and 24.1 vs 1.1 and 11.6%; no difference in 1 yr). Pupal survival was greater in bare (24.5-47.7%) than grass-covered soil (6.7-17.0%). Moisture was higher in irrigated than unirrigated treatments but within irrigated treatments, moisture in bare versus grass-covered soil did not differ. In both irrigated and unirrigated treatments, humidity in soil 5 cm below the surface where many pupae reside was >60%, including during summers. Results suggest R. indifferens pupae tolerate unirrigated soils during summer because soil moisture and high humidity there can prevent desiccation, contributing to the fly's wide distribution and abundance in dry climates, and that dry, grass-covered soils or mulch barriers in mid- and late-summer could reduce fly survival under some conditions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".