Road ecology of a northern population of badgers (Taxidea Taxus) in British Columbia, Canada
Notice bibliographique
Résumé
The badger (Taxidea taxus) is one of British Columbia’s (BC) most endangered mammals, with estimates placing the current provincial population at fewer than 340 adults. Previous research in the province has isolated two main factors contributing to the decline of badgers in BC: (1) a historical and current decline in habitat, and (2) road mortality caused by highways running through badger habitat. This intensive badger radio-telemetry study was initiated in 2007 to document badger ecology and movements in order to investigate why badgers are susceptible to vehicle collisions and possible mitigation methods.\nFrom 2007-2009, a subset (11♀, 5♂) of the badger population in south-central BC were captured and outfitted with VHF radio-tags to track their location and movements. In addition, the systematic collection of hair to identify individuals using DNA was employed to assist in tracking movements, dispersal, and aid in identifying carcasses. Locations for study animals were used to determine fixed kernels (95% FK) for home range analysis. Mean home ranges for males were 253.1 km2 while females had much smaller home ranges of 29.4 km2. In addition to their extremely large home ranges, males displayed extensive movements during summer, while reproductive females maintained the smallest home ranges and restricted their movements during the kit rearing period. Movements of adult females with kits were influenced by time of kit emergence from the den, litter size, and period of time before natal den abandonment.\nNewly emerging GPS technology was used to reveal extensive movements during summer that conventional radio-telemetry had underestimated. Movement rates were five times greater for GPS outfitted badgers versus conventional radio-telemetry estimates [GPS 4,801 m/day (n = 5): VHF radio 840 m/day (n = 16)] suggesting that badger movements and road crossings were underestimated by previous badger ecology studies.\nIn an attempt to document the frequency and ratio of above- and below-grade road crossings, remote motion cameras were placed at existing underpass structures to compare telemetry locations and GPS movements with camera data. Both marked and unmarked badgers were recorded using a variety of structures. Data revealed that both genders and family groups used culverts and livestock underpasses to pass under roads, with 500 mm culverts being used most frequently. Both above- and below-grade road crossings were detected, with frequency varying by individual, time of day, and seasonality.\nAnimals whose home ranges bisected highways were repeatedly observed crossing highways, with half of the study animals succumbing to collisions with vehicles (8 of 16). Due to their large home ranges, all five males in the study eventually crossed highway corridors with four of five males dying on these major roadways. Sites of badger road mortalities were spatially defined to identify areas of concentrated road mortality sites or ‘hotspots’ on major roadways in south-central BC.\nDespite the high percentage of study animal road mortality, DNA data and population modeling suggests an increasing population of badgers in the regional study area. At the present time, the high incidence of road mortality in the study area seems to be negated to some extent by strong recruitment, hence the estimate of increasing population size.\nHome range size and movement rate estimates for badgers in this study are some of the largest reported in BC. These phenomena may be explained by the patchy distribution of resources near the northern range limit of badgers in BC, such as suitable soils for burrowing and distribution of prey species. These limited resources often coincide with human populated areas where development of transportation corridors and agriculture often occur. These human-induced pressures on badger habitat often conflict with seasonal movement patterns of badgers (i.e., breeding season) leading to habitat fragmentation and direct mortality. The ability to increase our understanding of these movement patterns and provide mitigation measures (e.g., road underpasses, land conservation) that reduce direct mortality and increase productivity should allow for the continued existence of this species near their range limit in south-central BC, Canada.\nIn conclusion, I present a focused discussion on how an understanding of the ecology of badgers (particularly movements) may be integrated into habitat protection and restoration plans, including mitigation for current and future road infrastructure projects, thereby reducing impacts on this species.
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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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 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 ».