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Record W2335757933 · doi:10.1242/jeb.064154

CLIMATE CHANGE A PLUS FOR ALBATROSS

2012· article· en· W2335757933 on OpenAlexaff
Jessica U. Meir

Bibliographic record

VenueJournal of Experimental Biology · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAlbatrossForagingPelagic zoneClimate changeMarine ecosystemEcologyGeographyOceanographyEcosystemEnvironmental scienceFisheryBiologyGeology

Abstract

fetched live from OpenAlex

Despite the flurry of front-page headlines reporting the all-encompassing reach of environmental change, the bulk of climate change studies have centred on terrestrial ecosystems, considering factors such as temperature and rainfall. However, other environmental elements may have been overlooked. In the marine environment, wind is a considerable component of the ecosystem that has been influenced by climate change. In the Southern Ocean, westerly winds have shifted poleward and increased in strength as a result of increased atmospheric pressure. Pelagic seabirds like the albatross are nomadic predators, counting on the winds in this region to reduce the cost of flight between their breeding and foraging sites. Curious about the impact of climate change on these charismatic animals, Henri Weimerskirch and others at the CNRS in France sought to determine the influence of Southern Ocean winds on the foraging ecology of the wandering albatross (Diomedea exulans), one of the most far-ranging pelagic seabirds. Ultimately, they hoped to understand what consequences this might have on life-history traits like breeding success and body condition.The CNRS team combined over 40 years of records on breeding success and tracking data on the duration of foraging trips with measurements of foraging success and body mass of wandering albatross on Crozet Island, located in the windiest area of the Southern Ocean. Though it is known that wind boosts flight in this nomad, the results of this research come as quite a surprise given the usually negative impact of changing climate. The team discovered that for the wandering albatross, climate change has actually been a benefit!Weimerskirch and his colleagues revealed that breeding success in this species has increased over the past 40 years. The risk of breeding failure is highest during egg incubation, a duty shared by both males and females in these birds. However, higher wind speeds mean shorter foraging trips, and shorter foraging trips mean shorter incubation shifts and a higher chance of breeding success for the albatross. In addition, the researchers realized that the body mass of incubating birds of both sexes has increased by 1 kg over the past 20 years, a hefty 10–12% of their bulk. They suggest that this enhanced physique may boost flight performance in gustier zones, perhaps even reflecting that the mass gain is an adaptive response to the blustery surroundings.It isn’t often that climate change proves advantageous to the affected critters and these findings are also relevant for conservation, as the range of this species has shifted poleward in concert with the winds. This has reduced their overlap with tuna long-line fisheries, which are known to increase albatross mortality. However, this upbeat scenario may not last forever. Even breezier conditions forecast for 2080 could prove detrimental for albatross flight performance and if winds shift even further toward the poles, the island of Crozet may cease to be a refuge for this central-place forager.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0320.006

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 head0.046
GPT teacher head0.336
Teacher spread0.289 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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