Migration, dispersal, and survival patterns of mule deer (Odocoileus hemionus) in a chronic wasting disease-endemic area of southern Saskatchewan
Notice bibliographique
Résumé
Chronic wasting disease (CWD) has infected wild deer of Saskatchewan for at least the past 10 years.Disease management plans have evolved over the years, but without information on mule deer (Odocoileus hemionus) habits and movements in the grasslands of southern Saskatchewan.We radio-collared and monitored the survival and movements of 206 mule deer from 2006 to 2009.Long distance movements by deer have potential to transfer disease to previously naïve areas.Survival rates had not yet been evaluated in this area; baseline data will provide a useful measure for population-level impacts of the disease in the future.Juvenile dispersals and adult migrations were contrasted from 4 study areas along the South Saskatchewan River.Dispersal distance (median = 22.8 km, n = 14) was similar to migration distance (median = 16.0 km, n = 49).Median migration distance was similar between males (15.7 km, n = 51) and females (19.7 km, n = 65).Obligatory migrants were more likely to be female.Deer from an area of extensive grassland were more likely to be migratory than their counterparts in fragmented grassland of an agricultural landscape.Maximum migration and dispersal distances were 113 km and 195 km, respectively.Movement paths of 33 GPS-collared deer were best explained by high terrain ruggedness values and proximity to grassland.Seasonal survival rates showed that deer had lowest survival in autumn months during hunting season.Juveniles had lower survival than adults in all seasons.Harvest regime changes in 2008 improved the autumn survival of adult females but adult males had lower survival than in 2007.Body condition of captured deer was evaluated from residuals of mass-length regression.Cox regression analyses suggested that deer in good body condition (75 th percentile) were half as likely to die and that those in very poor body condition (10 th percentile) were twice iii as likely to die.Radio collars that weighed > 2% of body mass negatively affected survival and we recommend future researchers take this into consideration.Survival, dispersal, and migration rates and patterns are crucial parameters in modeling CWD in local mule deer populations.Saskatchewan wildlife managers aim to prevent CWD spread into new areas, and can use mule deer movement orientations to target surveillance accordingly.White-tailed deer (Odocoileus virginianus) movements are briefly discussed; further knowledge of their movements is required for CWD management in all of Saskatchewan.Trent Bollinger, for welcoming me to become a part of it.His knowledge and guidance were well balanced with an ability to let me develop my own skills, and his support and encouragement allowed me to endeavor when my confidence waned.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
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 | 0,000 | 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 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 ».