Bibliographic record
Abstract
We review evidence for whether and why mountain birds are potentially more vulnerable to climate change than birds at low elevation, given current knowledge of the avian limits to physiological and environmental conditions. The observed impacts of climate change on bird populations, communities and distributions in mountain environments are limited. We summarise these responses and provide an assessment of the main mechanisms that might underpin those changes, such as changes in climate (temperature, precipitation, snow cover extent), and biotic drivers (phenology/food mismatch, prey/predator populations, shifting treelines). The potential future impacts of climate anticipated in mountain environments, considering the vulnerability of montane species and the likelihood of increasing upslope colonisation by species that currently occupy lower elevations, are considered, including a comparison between the observed and projected impacts where available. Finally, we discuss potential conservation actions for mountain birds in the face of climate change. Are there ways that the management of these habitats can be altered to either help vulnerable species resist negative impacts, or to facilitate more positive changes in response to climate change? We conclude by summarising anticipated avifaunal community composition and function in these mountain environments by the end of the century.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".