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Record W2133644182 · doi:10.1139/x00-134

Conservation of noble hardwoods in Europe

2001· article· en· W2133644182 on OpenAlexvenueno aff
Gösta Eriksson

Bibliographic record

VenueCanadian Journal of Forest Research · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyPopulationGene poolAgroforestryIntroduced speciesDutch elm diseaseOrchardGeographyForestryEcologyBotanyGenetic diversity

Abstract

fetched live from OpenAlex

This paper is a summary of the work carried out within the European Forest Genetic Resources Programme network on gene conservation of noble hardwoods. The species classified as noble hardwoods are all of minor economic importance in European forestry owing to their low proportion in forests. For commonly occurring species the in situ multiple population breeding system (MPBS) is suggested. Some of the noble hardwoods occur together and whenever possible, their combined gene conservation is suggested. If possible, some of the subpopulations will be extended to 200–300 ha to match the objective of gene conservation of associated species. For rarely occurring species, grafting of trees and establishment of plantations of grafts in seed orchards or clonal archives are suggested to increase the effective population size. The progenies from such an orchard or archive are planted in forests. For Castanea sativa Mill., which is a multipurpose species, separate gene conservation of fruit cultivars and populations in nature is suggested. The severe threat from Dutch elm disease makes it necessary to establish hedges of Ulmus species to avoid infection of the disease via Scolytus insects. Whenever possible, MPBS in situ gene conservation of Ulmus glabra Huds. and Ulmus laevis Pall. should be carried out.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.297
Teacher spread0.251 · 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.

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

Citations51
Published2001
Admission routes1
Has abstractyes

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