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Record W3136401333 · doi:10.1111/een.13022

Host‐choice by a specialist folivore reflects trade‐offs between foliage quality and parasitism risks

2021· article· en· W3136401333 on OpenAlexafffund
Lauren Stead, Stephen B. Heard, Rob Johns

Bibliographic record

VenueEcological Entomology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsNatural Resources CanadaCanadian Forest ServiceUniversity of New Brunswick
FundersNatural Resources CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyBalsamSpruce budwormAbies balsameaOverwinteringChoristoneura fumiferanaParasitismBlack spruceHost (biology)EcologyLarvaBroodBotanyTaigaTortricidae

Abstract

fetched live from OpenAlex

1. The spruce budworm, Choristoneura fumiferana Clem., is an important outbreaking pest of balsam fir, Abies balsamea (L.) Mill, and black spruce, Picea mariana (Mill.) Britton, Sterns & Poggenb., throughout the boreal forests of North America. 2. Despite several studies reporting higher performance for larvae on balsam fir versus those on black spruce, many females still lay eggs on spruce. In this 2‐year study, we explored possible tri‐trophic trade‐offs associated with host selection taking into account both larval overwintering and feeding periods. 3. Based on field surveys, parasitism rates were significantly higher for overwintering larvae on balsam fir than on black spruce in 2017. 4. Field bioassays confirmed past studies showing 21% higher larval survival on balsam fir versus black spruce, especially when larval emergence was synchronized with host budburst. 5. Considering both overwintering and feeding survival, overall spruce budworm performance was nearly equal between hosts, though larvae gained some advantage on balsam fir if larval feeding was synchronized with budburst. 6. These results suggest that female egg lay on both hosts may be a ‘bet‐hedging’ strategy that balances trade‐offs between higher parasitism and higher foliage quality on different potential host species.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.053
GPT teacher head0.342
Teacher spread0.289 · 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 teacher head, not a consensus.

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

Citations5
Published2021
Admission routes2
Has abstractyes

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