New avenues in insect heat tolerance: towards an integrative understanding of climate change responses
Bibliographic record
Abstract
In nature, insect vulnerability to temperature fluctuations is shaped by the frequency, duration, and intensity of microclimatic heat stress they experience, together with their capacity to endure such stress, broadly referred to as heat tolerance. Heat tolerance is the outcome of several physiological processes that induce injury that may ultimately lead to whole-organismal failure and death, and processes counteracting this and facilitating the repair from or prevention of heat injury. This perspective summarizes recent findings and highlights several potentially fruitful avenues through which a more holistic understanding of insect heat stress responses can be achieved. We are of the opinion that further study of mitochondrial mechanisms beyond the classic 'powerhouse' paradigm, including a deeper assessment of autophagy flux, may bring fresh insights to several outstanding research questions in insect evolutionary physiology. We therefore call for: i) integration across molecular mechanisms when testing theories of heat tolerance, ii) adopting standardized, transparent approaches across insect taxa (and life-stages) that will facilitate comparative analyses, and iii) a broader integration of experimental assessments of insect heat tolerance within the context of experienced microclimatic 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".