Landscapes, habitat, and migratory behaviour: what drives the summer movements of a Northern viper?
Notice bibliographique
Résumé
Studies on movement behaviour and habitat use are central to understanding the ecology of migratory animals and play an important role in the conservation and management of these species. However, individuals’ spatial ecology can vary substantially, and failing to understand differences within or between populations may be problematic. In British Columbia, Canada, where Western Rattlesnakes reach their northern range limit, individuals undertake seasonal migrations between communal hibernacula and summer hunting grounds. Western Rattlesnakes commonly are associated with low-elevation grasslands and open Ponderosa pine habitats; however, recent work has shown that some animals undertake longer-distance migrations into higher-elevation Douglas-fir forests. To further investigate multi-phenotypic migratory tactics and habitat use, we compiled all available raw data from radio-telemetry studies conducted on adult males ( n = 139) between 2005 and 2019 from nine study sites across the Canadian range of Western Rattlesnakes. We quantify variation in migration distance, timing, altitudinal migration, home range sizes, and destination habitats used across our sample, and we use a linear mixed-modelling approach to assess potential drivers of long-distance migration. On average, snakes migrated 1364 ± 781 m (ranging from 105 m to 3832 m) from their overwintering dens. Migratory distance differed significantly between sites and was higher among individuals using forests as their migratory destination, yet within-habitat variation was high, suggesting a continuum of migratory phenotypes. Migratory distance was best predicted by two top models: terrain and combined effects (including terrain, physiology, and vegetation factors). Even these top-performing models, however, left much of the variation in migratory distance unexplained ( r s = 0.65 and 0.64 respectively based on k-fold cross-validation where k = 10), suggesting other factors not measured here, such as genetics and prey quality, may also be contributing. Overall, this study provides critical knowledge on the movement ecology of a far-ranging reptile with implications for the conservation and management of the species in the far north where seasonal movements are commonplace. Our results shed light on some drivers of multi-phenotypic migration in a taxonomic group where this phenomenon has largely been unstudied, while contributing more broadly to a growing body of literature on migratory variation in animals.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| 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 | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».