Summer Roosting and Foraging Habitat of Endangered Little Brown Bats (Myotis lucifugus) in Central Canada
Notice bibliographique
Résumé
Little brown bats (Myotis lucifugus) are listed as endangered in Canada and by the International Union for the Conservation of Nature (IUCN) due to population declines caused by the fungal disease white-nose syndrome (WNS). Under the Species at Risk Act, conservation efforts must focus on identifying and protecting critical habitats essential for the survival and recovery of listed species. While current efforts for little brown bats emphasize hibernation sites, designating maternity roosts as critical habitats are equally important. Despite some existing data, maternity roosts are not yet designated as critical habitats, but it is crucial as maternity roosts support bats’ recovery from WNS in the spring and successful reproduction and juvenile development in the summer. Understanding both roosting and foraging habitat selection, as well as drivers of foraging behaviour, is important for developing recovery plans, as these habitats are often spatially associated (Balzer et al. 2023). The broad objectives of my thesis are to characterize summer maternity roosts, better quantify roost switching and foraging habitat selection, and better quantify environmental variables that influence bats’ nightly activities. To achieve this, I tagged 30 lactating little brown bats in the summers of 2021 and 2022 (n=15 bats/year) in Ontario, Canada, and tracked them to roosts to identify their roosting habitat selection and quantify roost-switching behaviours. I used data from 2021 (n=15 bats) to understand foraging habitat selection and the influence of factors such as minimum nightly temperatures, maximum wind speed, and air quality on nightly activities and home-range sizes. My Chapter 2 results show that bats predominantly preferred buildings and bat houses over trees, with the largest groups found in buildings, while bats in trees were always solitary. Regardless of roost types, bats preferred structures close to water with southern exposure, possibly to reduce commuting costs to food and drinking areas and to maximize heat gain. These findings should help identify geophysical attributes important for the designation of maternity roosts as critical habitats. Bats in buildings switched roosts significantly less than when they roosted in bat houses or trees, but still switched more than expected, suggesting that management strategies should focus on networks of suitable roosts, rather than individual structures, to meet bats’ roosting requirements. My Chapter 3 results show that bats preferred foraging over wetlands, open water, anthropogenic areas, and forest edges, with bats having larger home-range sizes than observed in comparable studies of this species. Taking advantage of variation in air quality due to wildfire near my study area, I found that bat nightly activities and home-range sizes were significantly affected by air quality, with bats being less active and having smaller home ranges on nights with poor air quality. I found no effect of minimum nightly temperatures or maximum wind speeds on foraging behaviour. These findings underscore the importance of protecting both roosting and foraging habitats to support the recovery of endangered little brown bats.
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
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 | 0,001 |
| Communication savante | 0,001 | 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 ».