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Record W1515714628

О населении пауков (Arachnida: Aranei) зарослей багульника болотного (Ledum palustre L. ) в лиственничниках бореально-лесного пояса Буреинского заповедника

2014· article· ru· W1515714628 on OpenAlexaboutno aff
L. A. Trilikauskas

Bibliographic record

VenueВестник Томского государственного университета. Биология · 2014
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicBotany and Plant Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsThomisidaeSpiderLarchShrubEcologyGeographyPopulationMarshBiologyForestryWetland
DOInot available

Abstract

fetched live from OpenAlex

Long term studies of the spider population of the brushwood of Marsh Labrador tea, the most important edificator of dwarf shrub layer in the larch taiga forest predominating in the Bureinski Reserve, have been conducted. During the course of research, 54 spider species belonging to 12 families occurring on shoots of the Marsh Labrador were recorded. This number demonstrates a rather high level of taxonomic diversity comparable to those of the entire spider population of poplar forests (58 species) or valley spruce forests (56 species) of the Bureinski Reserve. The majority of spiders occurring on the Marsh Labrador tea belong to smallor medium-sized species. Web-building and wandering spider groups are equally represented (29 and 25 species correspondingly), yet almost the entire spectrum of ecological groups is represented. The crab-spiders (Thomisidae, Philodromidae) were most diverse (13 species). Spider densities were rather high, for instance, reaching 36 specimens per m 5 in one of the best studied larch taiga forests. A similar index for a poplar forest was about 5 specimens per m 2 [5]. No differences have been found between the spider assemblages of the brush wood of Marsh Labrador tea in different parts of the Bureinski Reserve; the dominating complex usually consisted of 13 species (viz., 20% of the entire quantity). The Marsh Labrador tea seems to be attractive to spiders because it is an evergreen dwarf shrub forming dense brushwood with a particular microclimate and comparatively homogeneous physical environment regardless of the place of growing, such as river terrace or slopes of variable exposure and altitude. Due to permafrost the Marsh Labrador tea usually grows in marshy plots. The dwarf shrub layer formed by the Marsh Labrador tea exists all year round. Its projective cover degree only insignificantly decreased during autumn periods due to partial leaf fall and dying off superterrene parts of sedges. Therefore, the environment formed by the Marsh Labrador tea is notable for its stability during season changes. The Marsh Labrador tea is also a richly blooming plant pollinated by insects, with an extended period of flowering (from June to August). Its large inflorescences attract lots of insect-pollinators, many of which serve the main prey for crab-spiders. The leaf underside of the Marsh Labrador tea is covered with reddish hairs and is actively used by spiders for attaching their egg sacs. Rigid leaves give a good protection for egg sacs against bad weather and serve a reliable retreat for spiders at different stages of their life cycle. Another important characteristic of the Marsh Labrador tea, which is responsible for its wide distribution and dominating role, is an ability to successfully survive fires that are common in the area at hand. This makes the environment formed by the Marsh Labrador tea one of the most stable and quickly recovering.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, 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 score0.261
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0050.003
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0010.004
Science and technology studies0.0060.004
Scholarly communication0.0020.002
Open science0.0060.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0150.012

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 head0.013
GPT teacher head0.190
Teacher spread0.177 · 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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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