Habitat Selection and Range Overlap of Moose and White-tailed Deer in the Boreal Plains of Saskatchewan
Notice bibliographique
Résumé
In the Boreal Plains of western Canada, human land use has created extensive linear features (roads, trails, transmission corridors) linking nodes of disturbance such as forestry cutovers and wildfire burns. These changes, compounded by climate change, are reshaping predator–prey relationships among moose (Alces alces), white-tailed deer (Odocoileus virginianus), boreal caribou (Rangifer tarandus caribou), and wolves (Canis lupus). White-tailed deer, historically uncommon in boreal forests, have expanded their range over the past 50 years. This expansion raises concerns about apparent competition, where one species increases predation or pathogen pressure on another. Such interactions are well documented between white-tailed deer and caribou; here, I examine potential apparent competition between white-tailed deer and moose in east-central Saskatchewan. I hypothesized that overlap between moose and deer would be greatest in areas of high anthropogenic disturbance, especially during summer and fall when forage is abundant. Both species are early-successional browsers predicted to use regenerating burns and forestry cutovers, while overlap should be minimal in spring and absent in winter due to climatic constraints on deer. To test this, I analyzed resource selection of 65 GPS-collared moose (2023–2025) and quantified seasonal niche overlap with 39 GPS-collared deer (2020–2023). Moose selected forage in clearings created by wildfire and forestry but avoided roads year-round and did not use agriculture. Using latent-selection difference functions, I found that overlap was highest in habitats modified by overlapping linear features and fire. Seasonal overlap peaked during calving and fall, and was lowest in winter. These results have management implications. Current legislation such as Road Corridor Game Preserves prohibits hunting of both moose and deer along some northern roadways. Yet, moose avoid roads while deer use them to penetrate deeper into boreal forests, potentially facilitating northward disease spread (e.g., meningeal worm, chronic wasting disease). Targeted harvest of deer in overlap zones and travel corridors could help limit disease expansion and conserve native cervids. In conclusion, anthropogenic disturbance is promoting seasonal niche overlap between moose and white-tailed deer, creating the potential for apparent competition via shared predators and pathogens. Re-evaluating current land management policies is essential to mitigate risks to boreal cervid populations.
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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) | 0,000 | 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 ».