A new methodology to infer the singing activity of an avian community: The Acoustic Complexity Index (ACI)
By Nadia Pieretti, Almo Farina, D. Morri. 2011
596 citations recorded by the source corpus.
Subfields: Developmental Biology, Ecology, Ecology, Evolution, Behavior and Systematics
View Paper: https://www.semanticscholar.org/paper/737b63a0323d2551775dc88ef22f7d5a6b7e9e72
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental Biology
- Adelaide V. Lindseth
- P. Lobel
- Toby Gifford
- Simon Linke
- C. Desjonquères
- Almo Farina
- Bryan C. Pijanowski
- C. Pérez‐Granados
In Ecology
- Adelaide V. Lindseth
- P. Lobel
- Bryan C. Pijanowski
- E. Staaterman
- Amandine Gasc
- Toby Gifford
- C. Desjonquères
- Simon Linke
In Ecology, Evolution, Behavior and Systematics
- Adelaide V. Lindseth
- P. Lobel
- Emanuele Lattanzi
- Nadia Pieretti
- Almo Farina
- Amandine Gasc
- Luigi Piccioli
- P. Guidetti
Citations in the corpus
- Future directions for soundscape ecology: The importance of ornithological contributions (2016, background): “…2020 Terms of Use: https://bioone.org/terms-of-use recording can reveal biodiversity facets of the recorded bird community such as species richness (Pieretti et al. 2011, Depraetere et al. 2012, Lellouch et al. 2014, Towsey et al. 2014a, Gasc et al. 2015), functional diversity, and phylogenetic…”
- Acoustic fish communities: sound diversity of rocky habitats reflects fish species diversity (2019, background): “A recent study by Bolgan et al. (2018) clearly showed that acoustic indices, such as the acoustic complexity index (Pieretti et al. 2011), which is increasingly used to study biodiversity in aquatic environments, cannot discern between sound diversity and abundance.”
- Passive acoustic monitoring as a potential tool to survey animal and ecosystem processes in freshwater environments (2019, background): “…overall amplitude of a recording (M, Depraetere et al., 2012), diversity of frequency with the spectral entropy index (Hf; Sueur, Pavoine, et al., 2008), or the acoustic diversity index (Villanueva‐Rivera, Pijanowski, Doucette, & Pekin, 2011) or acoustic complexity index (Pieretti et al., 2011).”
- The use of acoustic indices to determine avian species richness in audio-recordings of the environment (2014, unknown): “Pieretti et al. (2011) have introduced the acoustic complexity index (ACI), which is a measure of the average absolute fractional change in signal amplitude from one frame to the next through a recording.”
- Estimating bird density using passive acoustic monitoring: a review of methods and suggestions for further research (2021, background): “Soundscape indices are used based on the assumption that the acoustic complexity of a soundscape is a direct surrogate for the number of species around recorders (Pieretti et al .”
- Celestial patterns in marine soundscapes (2014, methodology): “To further examine the acoustic composition of the soundscape, we calculated the ‘acoustic complexity index’ (hereafter ‘ACI’) as described in (Pieretti et al. 2011).”
- Avian soundscapes and cognitive landscapes: theory, application and ecological perspectives (2011, methodology): “2008b) and a robust metric like the ACI (Pieretti et al. 2011) and other derivative indexes like the Niche Acoustic Breadth and Overlap and the Shannon entropy, is the essential premise for a longterm plan of investigation into animal sounds in general and bird sound surveys in particular, as argued”
- Underwater Soundscape Monitoring and Fish Bioacoustics: A Review (2018, methodology): “8) was also developed to calculate the ACI index [42].”
- Coral reef species assemblages are associated with ambient soundscapes (2015, methodology): “Ecol Inform 21:81-88 528 Pieretti N, Farina A, Morri D (2011) A new methodology to infer the singing activity of an avian 529 community: The Acoustic Complexity Index (ACI).”
- Acoustic Indices for Biodiversity Assessment and Landscape Investigation (2014, unknown): “The same year (2011), an acoustic complexity index, ACI, was developed to produce a direct quantification of soundscape complexity by computing the variability of the intensities registered in audio recordings, despite the presence of constant human-generated-noise [50, 51].”
- Acoustic indices for biodiversity assessments: Analyses of bias based on simulated bird assemblages and recommendations for field surveys (2015, unknown): “We have observed differences in acoustic sampling duration in the literature, including 1 min (Gasc et al., 2013b), 5 min (Depraetere et al., 2012), 15 min (Villanueva- Rivera et al., 2011), and 2 h (Pieretti et al., 2011).”