Gender Differences In Space-Use Patterns And Microhabitat Characteristics Of Southern Flying Squirrel (Glaucomys Volans) In Northeastern Iowa
Notice bibliographique
Résumé
Southern flying squirrel (Glaucomys volans) is common throughout the eastern deciduous forests of the United States, southern Canada, Mexico, and Central America. However, within the state of Iowa G. volans currently is listed as a “species of special concern.” This status is due to general loss of local habitat and lack of information about the species within the state. The state of Iowa has lost a majority of its native land cover over the past century due to intensive agricultural practices. Most native forests have been reduced drastically. The majority of habitat that would be suitable for southern flying squirrel has been fragmented or destroyed. These combined factors have led to the current listing of southern flying squirrel as a species of special concern within the state of Iowa. I studied southern flying squirrel at two sites in northeastern Iowa; the Mines of Spain State Recreational Area (MoSRA) and Wolter Property. The majority of my research was done at MoSRA. These sites were located in Dubuque and Clayton counties. Beginning in the summer of 2012 and continuing in the summers of 2014 and 2015 male and female southern flying squirrel were fitted with radio transmitters. Both male and female southern flying squirrels were tracked subsequently by using radio telemetry techniques. During the course of this research 11 males and 15 females were fitted with radio transmitters. Tracking results were variable; while some individuals (1 male and 3 females) yielded only a few locations, others were successfully tracked for up to two months. Home range area varied from 2.4 ha to 71.1 ha. Home ranges were larger for males than for females (P-value = 0.048). Males showed more variation in their range size as well. This variation possibly is due to the high degree of fragmentation within this habitat. Comparisons between my study home range sizes in other portions of southern flying squirrel range showed significant differences. Studies where southern flying squirrel home ranges were measured in contiguous forest habitat were smaller than those measured in my study. Home ranges of southern flying were used to determine microhabitat selection. After determining home range boundaries habitat was sampled both habitat within home ranges (Used) and outside of home ranges (Available). These points were selected by using stratified random sampling design. These data were then used to determine if there is specific microhabitat selection by this species and if so what habitat variables they respond to most strongly. Habitat variables that were significant for explaining the presence of southern flying squirrel were distance-to-nearest-neighbor (distance between trees), tree height, litter depth, and forb cover. Tree species were not significant in explaining presence of southern flying squirrel. Forest structure, not forest community, appeared to be more critical in predicting the habitat of southern flying squirrel. These data hopefully will yield a better understanding of space-use and ecology at a landscape level for the southern flying squirrel in northeastern Iowa. Currently, it is not understood how southern flying squirrel respond to forest characteristics in northeastern Iowa. Understanding movement patterns and habitat associations becomes vital should this species be listed as threatened or endangered within the state of Iowa.
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 | 0,000 | 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 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 ».