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The status of two introduced populations of Larix decidua Mill. in the territory of the Polessk district of the Kaliningrad region

2025· article· W7128179589 on OpenAlexaboutno aff
S. A. Ermakov, I. V. Khusainova, P. S. Belousova

Bibliographic record

VenueKSTU News · 2025
Typearticle
Language
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsnot available
Fundersnot available
KeywordsUndergrowthQuarter (Canadian coin)Abundance (ecology)LarchAfforestationBreed

Abstract

fetched live from OpenAlex

Larix decidua Mill. is a breed planted for initial introduction testing more than 120 years ago on the territory of East Prussia, now the Kaliningrad region. These plantings are of considerable interest in terms of the success of the introduction. An assessment of the taxation indicators has been carried out, specifying the age of individual trees, the number of plantings, its sanitary condition, the species composition of related species, the composition of the undergrowth, the presence of undergrowth and its condition, the presence and abundance of self-seeding. The characteristics of the soil cover are also given. In the studied area, the type of forest conditions is D2, and the type of forest is linden larch. Plantations are developing according to the I growth class, as part of the European larch stand from 6 to 10 units, the wood stock is 322–386 m 3 /ha. A comparison with the 2013 taxation figures showed that the allotments differ little in terms of the composition of the plantation and the stand density at the time of the study. A noticeable difference is observed in standing crop. The sanitary condition of the surveyed sample areas has been determined on a scale of tree condition categories and classified into categories of living conditions that differ in two quarters: in quarter 32, the state of the stand is classified as "weakened", in quarter 171 – as "healthy". In the Kaliningrad region, European larch has successfully acclimatized and adapted well to local conditions. However, in block 32, due to the aging and high density of trees, the population becomes less stable, pests appear that damage the trunks, and the risk of windstorms increases. Undergrowth or self-seeding of the main breed, European larch, have not been found in the test areas and on the neighboring allotments.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.272
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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