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Record W2111462266 · doi:10.22230/jem.2002v1n2a238

Ecological description and classification of some pine mushroom habitat in British Columbia

2002· article· en· W2111462266 on OpenAlexaffabout
Alan Wiensczyk, Shannon M. Berch

Bibliographic record

VenueJournal of Ecosystems and Management · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsGovernment of British Columbia
Fundersnot available
KeywordsMushroomHabitatVegetation (pathology)AgroforestryProductivityForest ecologyForest managementForestryGeographySilvicultureEcosystemEcologyEnvironmental scienceBiologyBotany

Abstract

fetched live from OpenAlex

This extension note summarizes the biology, traditional use, harvest method, and habitat of pine mushrooms in British Columbia and briefly discusses how information on habitat can be used to integrate important pine mushroom areas into timber harvest planning.The pine mushroom (Tricholoma magnivelare) is the most economically important species of wild mushroom harvested from the forests of British Columbia. Various factors, including natural variability in annual mushroom productivity and the method of harvest, are thought to influence wild mushroom production, but few benchmark measurements of commercial mushroom productivity are available. Information is needed on the types of stands and ecosystems in which these mushrooms occur.Soil, vegetation, and forests known to support commercial crops of pine mushrooms across the province are described. Forest subzone, elevation, slope, aspect, and landform all varied between study sites. In general, the soil, vegetation, and forest stand results indicate that submesic site series correlate well with commercial pine mushroom habitat.The results of this study illustrate that pine mushroom habitat capable of producing commercial crops displays certain characteristics and that pine mushrooms do not grow randomly. We recommend that the information from this study be used to define, expand, and map commercial pine mushroom sites. Forest planners can then use these maps to integrate the harvest of pine mushrooms with timber production objectives. Also, certain forest management techniques may be used to enhance mushroom production while meeting some timber objectives. More research is needed to determine which techniques could be applied to North American forests.

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)0.000
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 score0.138
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.022
GPT teacher head0.193
Teacher spread0.170 · 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

Citations6
Published2002
Admission routes2
Has abstractyes

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