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Record W4401495982 · doi:10.5376/ijmeb.2024.14.0016

The Origin and Evolution of Endemic Birds in the Qinghai-Tibet Plateau

2024· article· en· W4401495982 on OpenAlexvenueno aff
Jingya Li, Jun Li

Bibliographic record

VenueInternational Journal of Molecular Evolution and Biodiversity · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPlateau (mathematics)GeographyEarth scienceGeologyPhysical geographyPaleontologyMathematics

Abstract

fetched live from OpenAlex

The Tibetan Plateau is a unique region characterized by its high altitude, diverse habitats, and significant endemic biodiversity. This study systematically explores the origins and evolution of endemic bird species in this area, examining geological and climatic history, evolutionary adaptations, and current conservation challenges. The research identified the critical roles of plateau uplift and Quaternary climate changes in driving species formation and genetic differentiation. The endemic birds exhibit significant physiological, morphological, and behavioral adaptations to cope with the high-altitude environment. Despite ongoing conservation efforts, these species still face significant threats from climate change and human activities. The study emphasizes the importance of integrating phylogenetic, ecological, and behavioral research to guide conservation strategies. Longitudinal studies to monitor the impact of climate change and ensure the preservation of these unique bird populations are crucial. This study provides a comprehensive understanding of the evolutionary processes of biodiversity on the Tibetan Plateau, offering a scientific basis for future conservation efforts.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.011
Threshold uncertainty score0.107

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.232
Teacher spread0.224 · 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.

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
Published2024
Admission routes1
Has abstractyes

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