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Record W4390169828 · doi:10.15298/euroasentj.22.04.06

Stoneflies (Plecoptera) of Northeast Asia and adjacent regions

2023· article· en· W4390169828 on OpenAlexaboutno aff
VALENTINA A. TESLENKO, E. V. Khamenkova

Bibliographic record

VenueEuroasian Entomological Journal · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsnot available
FundersMinistry of Science and Higher Education of the Russian Federation
KeywordsGeographyGeologyPhysical geography

Abstract

fetched live from OpenAlex

The Northeast is a special region of the Asia, including the Chukotka, Yakutiya, Kamchatka and Magadanskaya Oblast, which along with Alaska (USA), Yukon and the Northwest Territories (Canada) were part of ancient Beringia in the past.Currently, a total of 156 stonefl y species from 49 genera and 9 families with 61 species in the Asia and 104 species in American part are known for Beringia.Among them there are eight common species, Capnia nearctica Banks, 1918, Eucapnopsis brevicauda (Claassen, 1924), Mesocapnia variabilis (Klapálek, 1920), Nemoura arctica Esben-Petersen 1910, Podmosta weberi (Ricker, 1952), Arcynopteryx dichroa (McLachlan, 1872), Diura bicaudata (Linnaeus, 1758) and Plumiperla diversa (Frison, 1935), and 22 common genera, demonstrating important role of Beringia in intercontinental faunistic exchanges and in independent development of present West Nearctic and East Palearctic stonefl y faunas.There are nine species, known to be endemic, namely: fi ve American, Mesocapnia bergi (Ricker, 1965), Podmosta weberi, Alaskaperla ovibovis (Ricker, 1965), Isoperla katmaiensis Szczytko et Stewart, 1979 and I. decolorata (Walker, 1852), and four Asian species, Capnia tshukotica Zhiltzova et Levanidova, 1978, C. levanidovae Kawai, 1969, C. kolymensis Zhiltzova, 1979 and C. kurnakovi Zhiltzova, 1978).The species richness distribution in the Northeast Asia stonefl y fauna corresponds to the general patterns and increases with the advancement from the Arctic deserts to the taiga zone and from the maritime monsoon climate to the continental one.The lowest species richness was noted in the tundra watercourses of the Chukotka, the greatest is in the streams and rivers of the taiga zone in the Magadanskaya Oblast.The richness of stonefl y species in Kamchatka, located to the south, is poorer than the Magadanskaya Oblast due to paleogeographycal events and volcanic activity of the Kamchatka-Koryak volcanogenic belt.The composition and similarity of regional faunas is briefl y considered.The species Paraleuctra cercia (Okamoto, 1922) and Plumiperla diversa (Frison, 1935) are reported for Chukotka for the fi rst time.Резюме.Северо-Восток -особый регион Азии, включающий Чукотку, Республику Саха (Якутию), Камчатку и Магаданскую область, которые вместе с Аляской США, Юконом и Северо-Западными территориями Канады в прошлом входили в состав древней Берингии.В настоящее время для Берингии известно 156 видов веснянок из 49 родов и 9 семейств, из них 61 вид в азиатской и 104 вида в американской части.Среди них восемь общих видов:

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 score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.219
Teacher spread0.199 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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