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Record W2075485832 · doi:10.5558/tfc78739-5

Potential wood supply losses to spruce budworm in New Brunswick estimated using the Spruce Budworm Decision Support System

2002· article· en· W2075485832 on OpenAlexfundvenueaboutno aff
David A. MacLean, Kathy P Beaton, Kevin B. Porter, Wayne E. MacKinnon, M G Budd

Bibliographic record

VenueThe Forestry Chronicle · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsnot available
FundersU.S. Forest ServiceCanadian Forest ServiceGovernment of Canada
KeywordsSpruce budwormChoristoneura fumiferanaForestryAbies balsameaWildlifeEnvironmental scienceForest managementGeographyOutbreakCrown (dentistry)AgroforestryEcologyBalsamBiologyTortricidaeHorticultureLepidoptera genitalia

Abstract

fetched live from OpenAlex

The Spruce Budworm Decision Support System (SBW DSS) was used to estimate potential volume losses to a future spruce budworm (Choristoneura fumiferana (Clem.)) outbreak in New Brunswick. The SBW DSS was implemented separately on each of the ten Crown Timber Licenses, using data from forest industry management plan timber yields and harvest schedules; values were then compiled for all of New Brunswick. Potential volume losses on privately owned forest (industrial freehold and private woodlots) were estimated by matching stand types with those for Crown land. Total potential volume losses of 83 million and 195 million m 3 of spruce–fir (Picea spp. – Abies balsamea (L.) Mill.) were predicted for "normal" and "severe" budworm outbreak scenarios, defined based on past outbreaks in New Brunswick and Nova Scotia and assumed to start in 2000. Simulated timber supply losses were 42 million, 40 mil-lion, and 1 million m 3 on Crown, freehold, and federal land, respectively, under a normal outbreak scenario, versus 99 million, 92 million, and 3 million m 3 under a severe outbreak scenario. On Crown land, 33% of the predicted loss in a severe outbreak occurred in stands scheduled for harvest over the next 30 years, 26% occurred in stands not scheduled for harvest for at least 30 years, and 41% was in the non-timber harvesting landbase (11% in Old Softwood Forest Habitat, 12% in Deer Wintering Areas, 14% in riparian buffers, and 3% in inaccessible areas). Harvest levels 11–20 years in the future were very sensitive to reduction in yields caused by defoliation. Under a severe outbreak scenario, if 40% of the landbase was not protected for 2, 5, or 8 years to limit defoliation (simulating spraying the insecticide Bacillus thuringiensis, B.t.), 2007–2011 harvest level reductions of 4.0, 6.0, and 8.4 million m 3 , respectively, would be necessary. We conclude that the only way that planned harvest levels for New Brunswick can be maintained, under a future spruce budworm outbreak, is with effective targeted use of insecticides for forest protection. Key words: defoliation, growth reduction, mortality, protection planning

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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.

Opus teacher head0.016
GPT teacher head0.243
Teacher spread0.227 · 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; both teacher heads agree on what is shown here.

Study designSimulation or modeling
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

Citations44
Published2002
Admission routes3
Has abstractyes

Explore more

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