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Occurrence patterns of aspen‐feeding wood‐borers (Coleoptera: Cerambycidae) along the wood decay gradient: active selection for specific host types or neutral mechanisms?

2007· article· en· W1976506043 on OpenAlexaffabout
Michel Saint‐Germain, Pierre Drapeau, Christopher M. Buddle

Bibliographic record

VenueEcological Entomology · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsMcGill UniversityUniversité du Québec à Montréal
Fundersnot available
KeywordsLonghorn beetleSnagBiologyHost (biology)Akaike information criterionInsectFunctional responseSelection (genetic algorithm)EcologyZoologyHabitatStatisticsPredationPredatorMathematics

Abstract

fetched live from OpenAlex

Abstract 1. Determinants of host‐use patterns in plant‐feeding insects have been extensively studied, usually within the framework of optimality theory. Comparatively, factors driving host selection in saprophagous insects have received little attention. 2. In this study, mechanisms creating occurrence peaks of saprophagous wood‐borers (Cerambycidae: Coleoptera) in standing dead aspen in the middle and late stages of decay were investigated by correlating insect occurrence with variations in substrate‐related nutritional and physical parameters. Twenty‐four snags at four decay stages were dissected from a mature stand in western Quebec, Canada. Wood samples were taken to measure levels of nitrogen, non‐structural carbohydrates, phenols, wood density, water content and snag age. 3. Several nutritional and physical parameters varied significantly along the decay gradient and were correlated with insect occurrence, but all significant parameters were also strongly correlated with snag age and wood density. Model selection using Akaike’s second order information criteria was used to rank the different models; the model including snag age only performed best, with a w i of 0.873. 4. This importance of snag age gives support to a proposed hypothesis of host selection in which temporal autocorrelation in probability of insect occurrence explains peaks observed in the middle and late stages of decay. However, further studies will be needed to confirm the prevalence of such neutral mechanisms over active selection in the determination of host‐use patterns in decaying aspen.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.031
GPT teacher head0.242
Teacher spread0.211 · 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.

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

Citations28
Published2007
Admission routes2
Has abstractyes

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