2021
DOI: 10.1016/j.pecon.2021.04.003
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Environmental sound as a mirror of landscape ecological integrity in monitoring programs

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Cited by 14 publications
(10 citation statements)
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References 65 publications
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“…Items framed in black on a white background represent untested variables. Black arrows indicate relationships well supported by the literature (see Fig.2 Sánchez-Giraldo, Correa Ayram & Daza, 2021). Our specific predictions are represented with grey arrows, solid and dashed lines representing positive and negative (predicted) relationships.…”
Section: Introductionsupporting
confidence: 79%
See 1 more Smart Citation
“…Items framed in black on a white background represent untested variables. Black arrows indicate relationships well supported by the literature (see Fig.2 Sánchez-Giraldo, Correa Ayram & Daza, 2021). Our specific predictions are represented with grey arrows, solid and dashed lines representing positive and negative (predicted) relationships.…”
Section: Introductionsupporting
confidence: 79%
“…Altogether, acoustic indices capture various dimensions of the soundscape such as: anthropophony, technophony, bird activity, abundance of species richness (for more details, see Fig.1 and Sánchez-Giraldo, Correa Ayram & Daza, 2021, Fig.2). They are not necessarily expected to reflect any particular bird-related variable, but should rather be seen as an integrative component of the habitats in which the experiment was conducted.…”
Section: Methodsmentioning
confidence: 99%
“…To date, applications of acoustic indices can be divided into two main analytical frameworks: (i) those describing soundscape patterns and dynamics, and (ii) those using indices as proxies for biodiversity metrics such as species richness or functional diversity (Alcocer et al, 2022). These (i) Supporting data-cleaning workflows by quickly identifying recordings for exclusion prior to other analyses, perhaps because of microphone degradation (Phillips et al, 2018), distortion (Eldridge et al, 2018) or excessive geophony (Metcalf et al, 2020;Sánchez-Giraldo et al, 2021). See Section 6.…”
Section: Identif Ying Your Par Adig Mmentioning
confidence: 99%
“…Indices can reflect biotic vocalisations, habitats and landscape features such as rivers and non‐biological sounds like weather events. Analyses in this paradigm are particularly useful for: Supporting data‐cleaning workflows by quickly identifying recordings for exclusion prior to other analyses, perhaps because of microphone degradation (Phillips et al, 2018), distortion (Eldridge et al, 2018) or excessive geophony (Metcalf et al, 2020; Sánchez‐Giraldo et al, 2021). See Section 6. Rapidly visualising large data sets to facilitate qualitative interpretation.…”
Section: Identifying Your Paradigmmentioning
confidence: 99%
“…The situation is more complex in mid-frequency ranges where more than one vocalizing animal group is active. Other studies have addressed the advantages and disadvantages of different acoustic indices under different environmental conditions, and useful overviews can be found, for example, in Bradfer-Lawrence et al ( 2019), Zhao et al (2019), Ross et al (2021), Sánchez-Giraldo et al (2021), and Shaw et al (2021.…”
Section: Indices To Capture Temporal Patterns Of Acoustic Diversitymentioning
confidence: 99%