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Record W4415490602 · doi:10.34655/bgsha.2025.79.2.014

Лесопатологическое состояние дубовых насаждений памятника природы «Солонцовая поляна» Шипова леса

2025· article· ru· W4415490602 on OpenAlexaboutno aff
Е.С. Фурменкова, И.М. Милигула, А.А. Попова

Bibliographic record

VenueVestnik Burâtskoj gosudarstvennoj selʹskohozâjstvennoj akademii im. V.R. Fillipova. · 2025
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicSoil and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNatural (archaeology)Quarter (Canadian coin)Natural forestFellingPeriod (music)

Abstract

fetched live from OpenAlex

Статья посвящена оценке состояния старовозрастных насаждений Шиповой нагорной дубравы в районе памятника природы «Солонцовая поляна», расположенных в южной части 34 квартала Красного участкового лесничества Воронцовского лесничества Воронежской области. Цель проведенного исследований – определение лесопатологического состояния и биологической продуктивности исследуемых насаждений. Результаты показали, что доля дуба в составе изучаемых насаждений составляет от 50 до 80 % (8Д1Кл.о1Яс для порослевого насаждения, 5Д5Кл.о+Вз для перестойного насаждения семенного происхождения). Средний запас древесины главной породы составил 300 м3/га. Проведено распределение деревьев дуба черешчатого и клена остролистного по ступеням толщины и категориям состояния. Средневзвешенная категория состояния для дуба составила 2,8, для клена – 2,25, для других пород – 2,15. Дана сравнительная характеристика результатов обследования деревьев дуба черешчатого и клена остролистного как главной и сопутствующей породы. Выявлена встречаемость патологических признаков для главной и сопутствующих пород. Наиболее часто встречающиеся специфические патологические признаки для главной и сопутствующей породы – усыхание скелетных ветвей, усыхание вершины, наклон ствола, раздвоение ствола, механические повреждения, дупла, морозобойные трещины, плодовые тела грибов, поселение стволовых вредителей, опухоли, изреженная крона. Установлено, что в насаждениях Шиповой дубравы в районе памятника природы «Солонцовая поляна» происходит смена главной породы – дуба черешчатого на сопутствующую – клен остролистный. Обследованные насаждения нуждаются в проведении санитарной рубки с выборкой сухостойных и усыхающих деревьев. The article is devoted to the assessment of the condition of old-age stands of Shipov upland oak forest in the area of the natural monument “Solontsovaya Polyana”, located in the southern part of the 34th quarter of the Red district forestry of the Vorontsov forestry of the Voronezh region. The purpose of the research was to determine the forest pathological condition and biological productivity of the studied plantations. According to the results the oak portion in the content of the studied forest plantation varied from 50% to 80% (8Д1Кл.о1Яс – for coppice, 5Д5Кл.о+Вз - oldgrowth timber stand of seed origin). The indicators of the wood stock amounted to 300 m3/ha. The distribution of pedunculate oak and holly maple trees by thickness levels and condition categories was carried out. The weighted average condition category for oak was 2.8, for maple – 2.25, for other breeds – 2.15. A comparative characteristic of the results of the examination of the trees of the pedunculate oak and the holly maple, as the main and accompanying species, was given. The distribution between the breeds of pathological signs recorded at the objects of the study was carried out. As a result, the most common specific pathological signs for the main and accompanying breed were revealed – shrinking of scaffold branches, shrinking of the apex, trunk slope, trunk bifurcation, mechanical damage, hollows, frost-breaking cracks, fruit bodies of fungi, settlement of stem pests, growth, thinned crown. It was found that in the plantations of the Shipov upland oak in the area of the natural landmark “Solontsovaya Polyana”, the main breed, the petiolate oak, is changing to the accompanying maple. The surveyed plantings need to carry out sanitary logging with a selection of dry-hardy and shrinking trees.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.006
Science and technology studies0.0050.003
Scholarly communication0.0010.002
Open science0.0050.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.005

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 head0.010
GPT teacher head0.218
Teacher spread0.209 · 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 designNot applicable
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueVestnik Burâtskoj gosudarstvennoj selʹskohozâjstvennoj akademii im. V.R. Fillipova.Same topicSoil and Environmental StudiesFrench-language works237,207