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Nadia Pieretti
Researcher at University of Urbino
Publications - 24
Citations - 2134
Nadia Pieretti is an academic researcher from University of Urbino. The author has contributed to research in topics: Soundscape ecology & Soundscape. The author has an hindex of 17, co-authored 22 publications receiving 1727 citations.
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Journal ArticleDOI
Soundscape Ecology: The Science of Sound in the Landscape
Bryan C. Pijanowski,Luis J. Villanueva-Rivera,Sarah L. Dumyahn,Almo Farina,Bernie Krause,Brian M. Napoletano,Stuart H. Gage,Nadia Pieretti +7 more
TL;DR: This article presents a unifying theory of soundscape ecology, which brings the idea of the soundscape—the collection of sounds that emanate from landscapes—into a research and application focus and proposes a research agenda that includes six areas.
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Acoustic Indices for Biodiversity Assessment and Landscape Investigation
TL;DR: Jérôme Sueur et al. as mentioned in this paper presented a model for the evolution of the human brain using the Muséum national d’Histoire naturelle (MNDHN).
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Bird song and anthropogenic noise: vocal constraints may explain why birds sing higher-frequency songs in cities
Erwin Nemeth,Nadia Pieretti,Sue Anne Zollinger,Nicole Geberzahn,Jesko Partecke,Ana C. Miranda,Henrik Brumm +6 more
TL;DR: The first phonetogram for a songbird is presented, which shows that frequency and amplitude are strongly positively correlated in the common blackbird (Turdus merula), a successful urban colonizer, and city blackbirds preferentially sang higher-frequency elements that can be produced at higher intensities and happen to be less masked in low-frequency traffic noise.
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The soundscape methodology for long-term bird monitoring: A Mediterranean Europe case-study
TL;DR: The proposed methodology has been demonstrated to be a powerful tool to identify the complex patterns of the soundscape across different temporal scales (hours, days and intraseason).
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Avian soundscapes and cognitive landscapes: theory, application and ecological perspectives
TL;DR: A new Acoustic Complexity Index (ACI), coupled with the implementation of a specific sound editor (WaveSurfer©), is proposed as a way of processing sound data efficiently, thus providing new opportunities to use the bird soundscape signature for landscape characterization and describing the ecological dynamics of long-term monitoring schemes.