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Record W7135012339 · doi:10.5376/ijmec.2024.14.0025

The Impact of Urbanization on Bird Species Adaptive Traits and Survival

2024· article· W7135012339 on OpenAlexvenueno aff
Jia Chen

Bibliographic record

VenueInternational Journal of Molecular Ecology and Conservation · 2024
Typearticle
Language
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsUrbanizationForagingUrban ecologyBiodiversityUrban ecosystemPredationAdaptation (eye)Urban climate

Abstract

fetched live from OpenAlex

This study provides a systematic review of the behavioral, morphological, physiological, and genetic adaptation strategies exhibited by birds in urban environments. The findings indicate that urban birds tend to display foraging flexibility, adjusted breeding strategies, altered vocal frequencies, and the ability to utilize urban microclimates and artificial structures. Increasing evidence also reveals rapid evolutionary changes and genetic divergence between urban and rural bird populations. At the same time, birds in cities face numerous challenges, including elevated predation risk, intensified pollution effects, competition with invasive species, and compounded impacts from climate change. Using the European Blackbird ( Turdus merula ) as a case study, this paper explores its adaptive pathway in urban settings and proposes conservation strategies for urban bird populations, including green space optimization, pollution mitigation, and public engagement. This study contributes to a deeper understanding of avian adaptive mechanisms in urban ecosystems and offers theoretical and practical insights for future urban biodiversity conservation.

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 score0.081
Threshold uncertainty score0.402

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 studies0.0000.001
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 head0.014
GPT teacher head0.264
Teacher spread0.250 · 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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