The influence of a parasitoid's response to temperature on the performance of a tri‐trophic food web
Bibliographic record
Abstract
1. Food web interactions are complex and can respond to environmental changes in unpredictable ways that do not necessarily equate to the individual responses of each of the components of the food web. 2. Biomass can be used to evaluate the productivity of the three individual trophic levels, in the form of the N et G enerational P roductivity ( NGP ) and the performance of the entire food web with the newly developed tri‐trophic food web performance ratio (ϕ 3t ). 3. These parameters were used to evaluate the performance of nine plant‐based tri‐trophic food webs composed of: potato, S olanum tuberosum L. and two cultivars of bell pepper C apsicum annuum L ; three biotypes of the aphid M acrosiphum euphorbiae T homas ( H emiptera: A phididae) and the parasitoid wasp A phidius ervi ( H aliday) ( H ymenoptera: B raconidae). 4. The NGP showed that the thermal window for biomass productivity for each trophic level is different and is reduced by approximately 4 ° C with respect to the inferior level. A phidius ervi had the smallest thermal window for biomass productivity and development. 5. The present results showed that the performance (ϕ 3t ) of the tested food webs is influenced in a top‐down fashion, where the intra‐specific variation of the food web, namely the host plant, played a major role in the productivity of each of the subsequent trophic levels. 6. The ϕ 3t suggested that exposure to high and low temperatures might severely affect the effectiveness of A. ervi as a biocontrol agent of the aphid M. euphorbiae in bell pepper and potato crops.
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How this classification was reachedexpand
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 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".