Do you hear what I hear? Soundscapes Along a Gradient of Urbanization in Clinton County, NY
Notice bibliographique
Résumé
Soundscapes are a compilation of sounds emanating from a landscape which creates an acoustic pattern across time and space. Wildlife behaviors are easily influenced by sound and can be reflected in periods of intense vocalization and silence. Urban landscapes are heavily influenced by anthrophony (human-produced sound) which can limit or enhance biophony (wildlife-produced sound). In fall 2024, the Wildlife Ecology and Management class arrayed five autonomous recording devices (AudioMoths) along an urbanization gradient (urban, urban interface, exurban golf course, rural riparia, and forested beaver pond). Audiomoths were programmed to record sound during peak hours of wildlife activity from 17:00-8:00 on two consecutive days during a warm spell. Data were downloaded and BirdNet-Analyzer was used to identify species using artificial intelligence (AI) algorithms associated with eBird. Output files were appended in R Studio and soundscape patterns were analyzed across sites. Biophony richness was highest at the exurban golf course (41), followed by urban (38), beaver pond (20), rural riparia (18), and urban interface (16). The most frequent callers at the urban site were American crow, dogs, squirrels, blue jays, Canada geese, and Carolina wren. At the urban interface, Canada geese, Carolina wren, and northern cardinals were highly vocal. At the exurban golf course, spring peeper, white-throated sparrows, barred owls, American crows, hairy woodpecker, and katydids were heard as compared to the rural riparia's eastern towhees, great-horned owls, and hairy woodpeckers. In contrast, anthrophonic call frequency was high and most similar at the urban (981) and and exurban golf course (891), intermediate at the urban interface (136), followed by the beaver pond (39), and rural riparia (33) with sounds including engines, humans, and power tools. At dawn the urban, exurban golf course, and beaver pond exhibited a high biophonic call frequency, while at dusk urbanized sites experienced extremely high calling rates compared to rural sites. Urban and exurban golf course communities were the most similar (51%), while the urban interface and the beaver pond were the least (22%). Soundscape ecology is a relatively new field that is growing in popularity due to the affordability of sensors and advances in AI. Our class learned that although these technologies have numerous benefits, there is still a need to perform supplemental surveys using traditional techniques or experts should be onboarded to help better identify misidentified calls.
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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) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
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 ».