Rapid assessment of biodiversity using acoustic indices

Rajan, Sajeev C; Athira, K.; Jaishanker, R.; Sooraj, N. P.; Sarojkumar, V.

doi:10.1007/s10531-018-1673-0

Cited by 34 publications

(17 citation statements)

References 20 publications

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“…The new feasibility of taking on such tasks opens up new avenues for community ecology, and for biodiversity research (Rajan et al 2018, Burivalova et al 2019. The new feasibility of taking on such tasks opens up new avenues for community ecology, and for biodiversity research (Rajan et al 2018, Burivalova et al 2019.…”

Section: Bioacoustics Offer Useful Descriptors Of Community Structurementioning

confidence: 99%

“…We successfully classified data from thousands of hours across hundreds of sites. The new feasibility of taking on such tasks opens up new avenues for community ecology, and for biodiversity research (Rajan et al 2018, Burivalova et al 2019. The use of automated recorders at a higher number of sites at the same time and with the same technical conditions relieves the concerns related to sampling different sites by different people at different times (Ribeiro et al 2017).…”

Section: Bioacoustics Offer Useful Descriptors Of Community Structurementioning

confidence: 99%

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Spatio‐temporal scaling of biodiversity in acoustic tropical bird communities

2019

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Automated analysis of acoustic communities is a rapidly emerging approach for the characterization and monitoring of biodiversity. To evaluate its utility, we should verify that such 'bioacoustics' can accurately detect ecological signal in spatiotemporal acoustic data. Targeting the 'Biological Dynamics of Forest Fragments Project' sites in Brazil, we ask: What is the relative contribution of the spatial, temporal and habitat dimension to variation in bird acoustic communities in a previously fragmented tropical rainforest? Does the functional diversity of bird communities scale similarly to space and time as does species diversity, when both are recorded by bioacoustics means? Overall, is the imprint of landscape fragmentation 30 years ago still audible in the present-day soundscape? We sampled forty-four sites in secondary forest and 107 sites in old-growth forest, resulting in 11 000 h of audio recordings. We detected 60 bird species with satisfactory precision and recovered a linear log-log relation between sampling time and species diversity. Sites in primary forest host more species than sites in secondary forest, but the difference decreased with sampling time, as the slope was slightly higher in secondary than primary forests. Functional diversity, as exposed by vocalizing birds, accumulates faster than does species diversity. The similarity among local communities decreases with distance in both time and space, but stability in time is remarkably high: two acoustic samples from the same site one year (or more) apart prove more similar than two samples taken at the same time but from sites situated just a few hundred meters apart. These findings suggest that habitat modification can be heard as a long-lasting imprint on the soundscape of regenerating habitats and identify soundscape-area and soundscape-time relations as a promising tool for biodiversity research, applied biomonitoring and restoration ecology.

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Section: Bioacoustics Offer Useful Descriptors Of Community Structurementioning

confidence: 99%

Section: Bioacoustics Offer Useful Descriptors Of Community Structurementioning

confidence: 99%

Spatio‐temporal scaling of biodiversity in acoustic tropical bird communities

2019

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“…An important question to consider is how to quantify a soundscape and changes in soundscapes in relation to landscape configuration. Acoustic indices are often used as measures of acoustic complexity or diversity, and have been shown to be useful predictors of species richness in temperate terrestrial habitats (Buxton et al, 2018b,a;Towsey et al, 2014;Sueur et al, 2014;Rajan et al, 2019). Fuller et al (2015) assessed the relationship between numerous acoustic indices and levels of landscape fragmentation, and found three acoustic indices, acoustic entropy (Sueur et al, 2008b), acoustic evenness (Villanueva-Rivera et al, 2011), and the Normalized Difference Soundscape Index (Kasten et al, 2012;Joo et al, 2011), to correlate well with landscape configuration (Fuller et al, 2015).…”

Section: Soundscape Quantificationmentioning

confidence: 99%

Assessing soundscape disturbance through hierarchical models and acoustic indices: A case study on a shelterwood logged northern Michigan forest

Doser

Finley

Kasten

et al. 2020

Ecological Indicators

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Assessing the effects of anthropogenic disturbances on wildlife and natural resources is a necessary conservation task. The soundscape is a critical habitat component for acoustically communicating organisms, but the use of the soundscape as a tool for assessing disturbance impacts has been relatively unexplored until recently. Here we present a broad modeling framework for assessing disturbance impacts on soundscapes, which we apply to quantify the influence of a shelterwood logging on soundscapes in northern Michigan. Our modeling approach can be broadly applied to assess anthropogenic disturbance impacts on soundscapes. The approach accommodates inherent differences in control and treatment sites to improve inference about treatment effects, while also accounting for extraneous variables (e.g., rain) that influence acoustic indices.Recordings were obtained at 13 sites before and after a shelterwood logging. Four sites were in the logging region and nine sites served as control recordings outside the logging region. We quantify the soundscapes using common acoustic indices (Normalized Difference Soundscape Index (NDSI), Acoustic Entropy (H), Acoustic Complexity Index (ACI), Acoustic Evenness Index (AEI), Welch Power Spectral Density (PSD)) and build two hierarchical Bayesian models to quantify the changes in the soundscape over the study period.Our analysis reveals no long-lasting effects of the shelterwood logging on the soundscape diversity as measured by the NDSI, but analysis of H, AEI, and PSD suggest changes in the evenness of sounds across the frequency spectrum, indicating a potential shift in the avian species communicating in the soundscapes as a result of the logging. Acoustic recordings, in conjunction with this modeling framework, can deliver cost efficient assessment of disturbance impacts on the landscape and underlying biodiversity as represented through the soundscape.

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“…Decoding the acoustic dynamics of a landscape can ingeniously be crafted as a rapid tool to assess animal species diversity. Rajan et al (2019) carried out an acoustic analysis using various indices, which they related to corresponding avian diversity in three contrasting soundscapes in Kerala. This study revealed the distinctiveness of sonic characteristics and the status of bird diversity in each soundscape.…”

Section: Animal Diversity Soil and Biotechnologymentioning

confidence: 99%

Recent advances in biodiversity and climate change studies in India

Behera

Sharma

2019

Biodivers Conserv

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Biodiversity is continually transformed by a changing climate. Conditions change across the face of the planet at variable pace leading to rearrangements of biological associations. The carbon cycle and the water cycle, arguably the two most important large-scale processes for life on Earth; depend on biodiversity at genetic, species, and ecosystem levels and can yield feedbacks to climate change. India is no less affected through this feedback mechanism of climate change and had shown its cause and effect association in several studies. In this special issue we present 25 papers contributed by ca 90 authors from India and elsewhere those discuss wide-ranging aspects of biodiversity and climate change. These contributions are based on presentations made at the 2nd International Workshop on Biodiversity and Climate Change (BDCC-2018) held on 24-27-February 2018 at the Indian Institute of Technology Kharagpur, India. The papers are arranged in six sections: Plant (and lichen) Diversity and Climate; Plant Diversity Pattern and Environmental Heterogeneity; Forest Biomass and Carbon; Plant Diversity and Remote Sensing; Species Distribution Modelling; and Animal Diversity, Soil and Biotechnology. Included amongst the contributions are ones using a national database on plant diversity, describing vegetation carbon and biomass sequestration patterns, utilizing remote sensing to assess plant diversity proxies and conservation prioritization, employing species distribution models to analyze climate change scenarios, using acoustics indices for rapid assessment of biodiversity, addressing the soil micro-biome and environmental stress on medicinal plants.

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Rapid assessment of biodiversity using acoustic indices

Cited by 34 publications

References 20 publications

Spatio‐temporal scaling of biodiversity in acoustic tropical bird communities

Spatio‐temporal scaling of biodiversity in acoustic tropical bird communities

Assessing soundscape disturbance through hierarchical models and acoustic indices: A case study on a shelterwood logged northern Michigan forest

Recent advances in biodiversity and climate change studies in India

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