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Record W1893420124 · doi:10.22230/jem.2009v10n2a425

Effects of fire return rates on traversability of lodgepole pine forests for mountain pine beetle: Implications for sustainable forest management

2009· article· en· W1893420124 on OpenAlexafffund
Hugh J. Barclay, Tina Schivatcheva, Chao Li, Laura Benson

Bibliographic record

VenueJournal of Ecosystems and Management · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsGovernment of British ColumbiaNatural Resources CanadaCanadian Sport Centre Pacific
FundersNatural Resources CanadaU.S. Forest ServiceCanadian Forest ServiceGovernment of Canada
KeywordsMountain pine beetleBiological dispersalEcologyPopulationHabitatEnvironmental scienceDisturbance (geology)Pine forestFire protectionGeographyForestryAgroforestryBiology

Abstract

fetched live from OpenAlex

The spread of mountain pine beetle (MPB) depends on climate, weather, and topography, among other factors. In predicting the spread of the MPB in British Columbia, foresters should specifically consider the susceptibility and traversability of lodgepole pine forests to MPB. In order for beetle infestations to spread through the forests at endemic or incipient beetle population levels, patches of susceptible forest must exist, and these patches must be close enough together that beetles can disperse from one to another. This study determined stand susceptibility by examining simulated effects of fire return rates on the equilibrium age structure of a 1 million ha lodgepole pine forest, and then using the results to generate mosaics of susceptibilities to MPB attack. At the landscape level, "traversability" describes the condition of a forest that allows an incipient beetle population to disperse across it according to defined rules of susceptibility and maximum distance for dispersal through unsuitable habitat. We found that: (1) long fire cycles and fire suppression yielded an age structure that is highly susceptible to beetle attack; and (2) harvesting reduced the mean susceptibility to MPB attack as well as traversability. A combination of early harvesting and moderate fire suppression would theoretically yield an equilibrium forest structure that minimizes both susceptibility and traversability for MPB.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.731
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.005
GPT teacher head0.235
Teacher spread0.229 · 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

Citations3
Published2009
Admission routes2
Has abstractyes

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