Methods in Ecology and Evolution · 2015 · 179 citations · 37 references
Life SciencesEcologyMarine SciencesCoral Reef EcologyMarine BiodiversityMarine EcologyAcoustic EcologyCoral Reef BiodiversityMarine Species DiversityReef Fish EcologySpecies DiversitySpecies RichnessAcoustic IndicatorsAcoustic SurveysAnthropogenic Noise EffectsAnthropogenic Noise ImpactsDiversity MeasuresEcological AcousticsMarine Taxonomic DiversityNoise Interference
Summary Diversity measurement techniques can present logistical and financial obstacles to conservation efforts. Ecoacoustics has recently emerged as a promising solution to these issues, providing a mechanism for measuring diversity using acoustic indices, which have proven to be beneficial in terrestrial habitats. This study investigates the application of acoustic measures as a tool for quick and effective marine diversity monitoring via direct, in situ comparison of ecoacoustics indices with species assemblage diversity measures from temperate rocky reefs. Acoustic recordings and visual surveys of reef fish abundance were collected at nine sites in north‐eastern N ew Z ealand. Three ecoacoustic indices originally developed for terrestrial use were then compared to three species assemblage diversity measures and compared using P earson correlations. Additionally, four criteria for successful ecoacoustic indices were developed and tested as a means of standardizing future evaluation and use of acoustic indices: (i) positive correlations between species diversity and ecoacoustic indices in relevant frequency ranges, (ii) robustness to changes in spectral resolution, (iii) robustness to the presence of natural noise interference (i.e. wind) and (iv) robustness to the presence of anthropogenic noise. Acoustic Complexity Index ( ACI ) was significantly correlated with P ielou's E venness ( J ′) and S hannon's index ( H ′). Neither Acoustic Richness ( AR ) nor ACI was impacted by changes in spectral resolution, but values of the Acoustic Entropy Index (H) increased significantly between fast Fourier transformation ( FFT ) sizes 512 and 1024. H was consistently positively correlated with both H′ and estimated number of species (S) above a spectral resolution of c . 140·6 Hz ( FFT size 1024). Wind did not affect any of the acoustic indices. As anthropogenic noise was included in these investigations, both ACI and H were considered robust to its presence. While AR failed to meet all four criteria for a successful ecoacoustic indices, both ACI and H appeared to be appropriate for use on temperate reefs. In a time of accelerated global diversity loss, these two ecoacoustic indices show strong potential for use as efficient, non‐invasive marine diversity measures.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
SEEWAVE, A FREE MODULAR TOOL FOR SOUND ANALYSIS AND SYNTHESIS
Jérôme Sueur, Thierry Aubin, Caroline Simonis · Bioacoustics · 2008 · 1.3K citations
Rapid Acoustic Survey for Biodiversity Appraisal
Jérôme Sueur, Sandrine Pavoine, Olivier Hamerlynck et al. · PLoS ONE · 2008 · 670 citations · Full text
Life Sciences, Biology, Ecology +17