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Record W7034942920

Vulnérabilité des tanières du renard arctique aux aléas géologiques reliés aux changements climatiques

2018· other· fr· W7034942920 on OpenAlexaboutno aff

Bibliographic record

VenueSémaphore (Université du Québec à Rimouski) · 2018
Typeother
Languagefr
FieldAgricultural and Biological Sciences
TopicMediterranean and Iberian flora and fauna
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental factorLand useDeforestation (computer science)
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ: Les changements climatiques augmentent les risques d’altérations sévères des habitats essentiels de nombreuses espèces animales, surtout dans l’Arctique. Le renard arctique (Vulpes lagopus) utilise des tanières comme refuges contre les grands froids et les prédateurs. Ces tanières, creusées dans la couche supérieure du pergélisol (couche active), sont essentielles pour l’élevage des jeunes et sont réutilisées d’une génération à l’autre. Nous avons testé l’hypothèse selon laquelle, en raison du réchauffement climatique, l’augmentation de la fréquence des aléas géologiques comme le tassement au dégel, les mouvements de masse et l’érosion thermique est une menace sérieuse à la stabilité de ces tanières. Sur l’Île Bylot (Nunavut, Canada), nous avons développé un indice de vulnérabilité qualitatif des tanières à ces aléas. Cet indice a été calculé à partir d’observations de terrain et de photos aériennes obliques. Parmi les 106 tanières étudiées, 14% ont été classées comme très vulnérables alors que 17% et 69% ont été classées comme modérément ou faiblement vulnérables, respectivement. La vulnérabilité n’était pas significativement reliée à la probabilité d’utilisation pour la reproduction. \nLes changements climatiques affectent donc les tanières de renards arctiques, mais sans qu’ils soient un risque majeur pour l’espèce à notre site d’étude. Notre recherche est la première à donner un aperçu de l’impact des aléas géologiques reliés aux changements climatiques sur l’écologie du renard arctique. La méthode proposée est flexible et pourrait être appliquée, dans un cadre de conservation ou de recherche fondamentale, à d’autres sites ou d’autres espèces qui dépendent directement du pergélisol durant leur cycle vital. -- Mot(s) clé(s) en français : Vulpes lagopus, vulnérabilité, aléas géomorphologiques, changements climatiques, pergélisol. -- ABSTRACT: Climate change increases the risk of severe alterations to essential habitats for wildlife species, especially in the Arctic. The Arctic fox (Vulpes lagopus) uses dens as shelters against cold temperatures and predators. These dens, which are needed for successful reproduction, are dug in the top layer of permafrost (active layer) and reused across multiple generations. We tested the hypothesis that due to climate change, the increasing frequency of geohazards like thaw settlement, mass movements, and thermal erosion is a serious threat for the long-term stability of Arctic fox dens. On Bylot Island (Nunavut, Canada), we developed a qualitative vulnerability index to geohazards for Arctic fox dens. The index was calculated from field observations and oblique aerial photographs. Of the 106 dens studied, 14% were classified as highly vulnerable while 17% and 69% had a moderate and low vulnerability, respectively. Vulnerability was not significantly related to the probability of use for reproduction. While climate change will impact Arctic fox reproductive structures, we conclude that this is not a major threat to the species in our study area. Our research is the first to provide insights into the climate-related geohazards potentially affecting Arctic fox ecology. The developed method is flexible and could be applied, for conservation or basic research, to other study sites or other species depending directly on permafrost for part of their life cycle. -- Mot(s) clé(s) en anglais : Vulpes lagopus, vulnerability, geohazards, climate change, permafrost.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.021
GPT teacher head0.215
Teacher spread0.194 · 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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