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The Effects of Climate Change on Birds and Approaches to Response

2022· article· en· W4223464883 on OpenAlex
Xiaohan Li, Yang Liu, Yuhui Zhu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsClimate changeGovernment (linguistics)Greenhouse gasPopulationGlobal warmingEffects of global warmingEnvironmental resource managementEnvironmental changePolitical economy of climate changeEcologyNatural resource economicsGeographyEnvironmental scienceEconomicsBiology

Abstract

fetched live from OpenAlex

Abstract Complex changes in climate change have caused numerous changes, such as rising temperature and increasing in precipitation frequency, representing dynamic environmental changes for birds. It results in birds’ responses, such as changes in migration routes. To better understand the responses, the study aims to reveal the impacts of climate change on birds’ behavior and proper approaches toward addressing its effects. The study shows that climate change has caused advanced spring migration, changes in birds’ habitat, higher possibility of disease transmission, earlier egg-laying time, less food availability, and a decline in the bird population. The study also lists possible measures to mitigate climate change’s influence, including environmental policies, partnership with non-government organizations, and decreasing greenhouse emissions. In the future, people should consider identifying knowledge gaps of the link between climate change birds from efforts of interdisciplinarity and multi-academic fields. The same approach also applies to plausible solutions exploration. The study provides a comprehensive summary of the effects of climate change on birds, as well as briefly illustrates the current approaches to mitigate its impacts. It increases the awareness of climate change’s impacts for the present generation, in turn encouraging them to take progressive actions to address the problem for the future generation.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score0.999

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.044
GPT teacher head0.216
Teacher spread0.171 · 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