Polar Bear Ecology in Hudson Bay
Notice bibliographique
Résumé
Altered environmental conditions such as changes in the distribution and phenology of plants and animals have been linked to local or regional climate change; polar and alpine species are particularly vulnerable (Parmesan 2006). One habitat that is showing rapid change is the sea ice of the circumpolar Arctic. The Arctic and subarctic regions are undergoing large changes in response to global warming due to feedback processes referred to as polar amplification (e.g., IPCC 2007). These regions are characterized by an acceleration of climatic and environmental change. Loss of sea ice is dramatic and the rate of change unprecedented (e.g., Stroeve et al. 2014). The western Hudson Bay sea ice extent (defined as the area of the ocean with a fractional ice cover/concentration ≥15%) has declined significantly since 1979 (Stern & Laidre 2016). Polar bears (Ursus maritimus) that inhabit this region are vulnerable to climate warming (Stirling & Derocher 2012; Lunn et al. 2016). Polar bears depend on sea ice as the platform from which they hunt, travel, and mate (Smith 1980; Johnson et al. 2019). They are an obligate predator with ringed seals (Pusa hispida) and bearded seals (Erignathus barbatus) the primary prey and the survival and reproduction of polar bears is dependent on the acquisition of sufficient adipose reserves obtained in spring and early summer (Stirling & Archibald 1977; Ramsay & Stirling 1988). The nearshore ice has been identified as an important habitat for polar bears in many areas (Stirling, Andriashek & Calvert 1993; McCall et al. 2016). Further, polynyas and flaw lead systems (areas of consistently open water in winter) have been identified as important habitats for Arctic marine systems (Stirling 1980; Stirling 1997). Climate change induced loss of sea ice is affecting the 19 polar bear populations that range across the circumpolar north to varying degrees (Regehr et al. 2010; Derocher et al. 2013). The Western Hudson Bay population, which summers along the coast of Manitoba and southern Nunavut, has been identified as being at-risk from an increasing ice-free period (Stirling, Lunn & Iacozza 1999; Lunn et al. 2016). The recent trend of later sea ice freeze-up and earlier sea ice break-up has forced the bears to spend longer onshore away from their prey (Regehr et al. 2007; Castro de la Guardia et al. 2013). Over 1979-2014, the sea ice cover duration in the area used by Western Hudson Bay polar bear population declined by 8.6 days/decade (Stern & Laidre 2016). Changes in sea ice condition have been associated with declines in cub survival, atypical hunting, cannibalism, drowning, starvation, and more problem bears (Stirling & Parkinson 2006; Towns et al. 2009; Stirling & Derocher 2012; Heemskerk et al. 2020). How bears cope with reduced sea ice habitat provides insight to how they may respond to ongoing climatic change. In this study, I propose to examine polar bear distribution, habitat use, and movement patterns using ear tag satellite-linked telemetry during the spring feeding period in the nearshore areas of western Hudson Bay. These tags provide a new means of obtaining insights on parts of the population that could not be followed with conventional collaring methods. The same ear tag radios were deployed in collaboration with the Polar Bear Alert Program in autumn.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».