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Record W2136180910 · doi:10.22230/jem.2006v7n3a358

Spruce Weevil and Western Spruce Budworm Forest Health Stand Establishment Decision Aids

2006· article· en· W2136180910 on OpenAlexaffabout
Don Heppner, Jennifer Turner

Bibliographic record

VenueJournal of Ecosystems and Management · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsGovernment of British Columbia
Fundersnot available
KeywordsSpruce budwormWeevilReforestationForestryForest managementAgroforestryGeographyBasal areaBiologyEcologyTortricidaeAgronomy

Abstract

fetched live from OpenAlex

Western spruce budworm (Choristoneura occidentalis) is a defoliator of Douglas-fir throughout the tree's range in British Columbia. Although recent defoliation levels within the Coast Forest Region (CFR) have been primarily light, this insect has caused significant damage within the region in previous years. In the past, western spruce budworm has had its largest impacts in the Squamish and Chilliwack forest districts, particularly in the Pemberton/Birkenhead area and the Fraser Canyon area near Boston Bar.The spruce weevil (Pissodes strobi) is a major pest in the cfr where it seriously limits the use of Sitka spruce for reforestation. Repeated weevil attacks to the leading shoots of young Sitka spruce trees result in suppressed height growth and stem deformities; however, improving supplies of weevil-resistant planting stock may lead to new reforestation strategies for Sitka spruce.The Stand Establishment Decision Aid (SEDA) format has been used to extend information on a variety of vegetation and forest health concerns in British Columbia. The two-page SEDAs presented in this extension note were developed to summarize information about spruce weevil and western spruce budworm occurrence and management in the CFR. The first page of each SEDA provides general information, hazard ratings for the CFR's biogeoclimatic zones and subzones, and silvicultural considerations. The second page outlines the growth and yield implications and other effects and associations of these insects. A valuable resource and reference list that readers can use to find more detailed information is also included. Most reference material that is not available on-line can be ordered through libraries or the Queen's Printer at: www.qp.gov.bc.ca.

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 score0.258
Threshold uncertainty score0.635

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.221
Teacher spread0.215 · 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

Citations7
Published2006
Admission routes2
Has abstractyes

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