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Record W4406773579 · doi:10.4039/tce.2024.47

Impacts of elevated carbon dioxide on the development and reproductive biology of <i>Choristoneura fumiferana</i> (Lepidoptera: Tortricidae)

2025· article· en· W4406773579 on OpenAlexaffabout
Rashaduz Zaman, Guncha Ishangulyyeva, Aziz Ullah, Nadir Erbilgin

Bibliographic record

VenueThe Canadian Entomologist · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant responses to elevated CO2
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTortricidaeLepidoptera genitaliaSpruce budwormChoristoneura fumiferanaBiologyEcologyForestryBotanyGeography

Abstract

fetched live from OpenAlex

Abstract Rising atmospheric carbon dioxide (CO2) concentrations are a major driver of climate change, posing a significant challenge to global ecosystem functions. This challenge is compounded by the potential effects of elevated CO2 on forest pest insects like the eastern spruce budworm (Lepidoptera: Tortricidae), a major mortality agent in Canadian boreal forests. To better understand these impacts, this study investigates how elevated (1000 ppm) and ambient (469 ppm) CO2 concentrations affect budworm development across different life stages. In vitro experiments revealed that budworms exposed to the elevated CO2 concentration exhibited accelerated development, with increased larval weight gain from third to sixth instars, faster pupation and adult emergence, and earlier oviposition compared to those exposed to the ambient condition. However, elevated CO2 concentration led to reduced realised fecundity. These findings highlight the direct impact of elevated CO2 concentrations on budworm biology, with important implications for its role in forest ecosystems under climate change.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.019
GPT teacher head0.231
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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