Bird population density estimated from acoustic signals
215 citations recorded by the source corpus.
Subfields: Developmental Biology, Ecology
View Paper: https://www.semanticscholar.org/paper/43d6d97f3fe23e29452e0c2a9471da97c5481b1a
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
- C. Pérez‐Granados
- Paola Laiolo
- J. Traba
- L. Thomas
- P. Tyack
- Marc Kéry
- David K. Mellinger
- J. Andrew Royle
In Ecology
- Marc Kéry
- J. Andrew Royle
- Beth Gardner
- D. MacKenzie
- L. Thomas
- G. Guillera‐Arroita
- B. R. Schmidt
- Tiago A. Marques
Citations in the corpus
- Accounting for non‐independent detection when estimating abundance of organisms with a Bayesian approach (2011, background): “We also mentioned the case of birds and amphibians that are often detected because of their calls (Dawson & Efford 2009; McClintock et al. 2010), but of course the violation of the assumption of independent detection may arise in other ways.”
- Estimating animal population density using passive acoustics (2012, methodology): “Dawson & Efford (2009) estimated ovenbird Seiurus aurocapilla density using acoustic data collected on a foursensor array.”
- The emerging significance of bioacoustics in animal species conservation (2010, background): “Recent years have seen the continuous implementation of bioacoustics technology for large-scale automated monitoring programs, to identify individuals or species for use in population ecology / biodiversity studies, or in wildlife management (Dawson and Efford 2009, Efford et al. 2009).”
- Estimating bird density using passive acoustic monitoring: a review of methods and suggestions for further research (2021, methodology): “Complete theory and application of SECR to sound recordings is described in Dawson and Efford (2009).”