Listening to a changing landscape: Acoustic indices reflect bird species richness and plot-scale vegetation structure across different land-use types in north-eastern Madagascar. (January 2021)
- Record Type:
- Journal Article
- Title:
- Listening to a changing landscape: Acoustic indices reflect bird species richness and plot-scale vegetation structure across different land-use types in north-eastern Madagascar. (January 2021)
- Main Title:
- Listening to a changing landscape: Acoustic indices reflect bird species richness and plot-scale vegetation structure across different land-use types in north-eastern Madagascar
- Authors:
- Dröge, Saskia
Martin, Dominic Andreas
Andriafanomezantsoa, Rouvah
Burivalova, Zuzana
Fulgence, Thio Rosin
Osen, Kristina
Rakotomalala, Eric
Schwab, Dominik
Wurz, Annemarie
Richter, Torsten
Kreft, Holger - Abstract:
- Highlights: Ecoacoustics can increase time and cost efficiency in biodiversity assessments. We applied four acoustic indices to recordings from an agricultural landscape in Madagascar. Three acoustic indices showed systematic variation among predominant land-use types. We found a positive correlation of acoustic indices and bird species richness. High indices in structurally diverse vanilla agroforests suggest a high value for conservation. Abstract: New technologies like ecoacoustic surveys promise time and cost efficiency for biodiversity assessments, serve as a basis for effective conservation policies, and are particularly appealing for remote and highly diverse tropical areas. Acoustic indices facilitate the analysis of large acoustic datasets but no consensus on their performance has been reached yet. We evaluated the efficacy of four acoustic indices (Acoustic Complexity Index, Acoustic Diversity Index, Acoustic Evenness Index, Acoustic Entropy) for sound data analysis and biodiversity assessments inside a national park and the agricultural mosaic landscape of north-eastern Madagascar, a global biodiversity hotspot. We used self-built sound recorders to continuously record soundscapes on 80 plots across seven land-use types (old-growth forest, forest fragment, forest–derived and fallow-derived vanilla agroforest, herbaceous and woody fallow, rice paddy) and compared index values between land–use types, assessed the correlation with bird species richness as measured byHighlights: Ecoacoustics can increase time and cost efficiency in biodiversity assessments. We applied four acoustic indices to recordings from an agricultural landscape in Madagascar. Three acoustic indices showed systematic variation among predominant land-use types. We found a positive correlation of acoustic indices and bird species richness. High indices in structurally diverse vanilla agroforests suggest a high value for conservation. Abstract: New technologies like ecoacoustic surveys promise time and cost efficiency for biodiversity assessments, serve as a basis for effective conservation policies, and are particularly appealing for remote and highly diverse tropical areas. Acoustic indices facilitate the analysis of large acoustic datasets but no consensus on their performance has been reached yet. We evaluated the efficacy of four acoustic indices (Acoustic Complexity Index, Acoustic Diversity Index, Acoustic Evenness Index, Acoustic Entropy) for sound data analysis and biodiversity assessments inside a national park and the agricultural mosaic landscape of north-eastern Madagascar, a global biodiversity hotspot. We used self-built sound recorders to continuously record soundscapes on 80 plots across seven land-use types (old-growth forest, forest fragment, forest–derived and fallow-derived vanilla agroforest, herbaceous and woody fallow, rice paddy) and compared index values between land–use types, assessed the correlation with bird species richness as measured by point counts, and related the acoustic indices to plot- and landscape-scale parameters. The Acoustic Diversity Index, Acoustic Evenness Index (inverse) and Acoustic Entropy were highest in old-growth forest and lowest for rice paddies and fallow land. Index values for structurally similar land-use types did not differ significantly from each other. The correlation of the three acoustic indices with bird species richness was strongest during daytime ( R 2 ≥ 0.30 ) . Differences in the index values were best explained by land-use type and vegetation density. Our results showed that all investigated indices except the Acoustic Complexity Index were suitable biodiversity indicators for a tropical, agricultural landscape. Soundscape diversity was positively affected by plot-scale vegetation structure, emphasizing the importance of forests and particularly old-growth forest for conservation. We demonstrated that acoustic indices and sound recordings are a useful tool for assessing biodiversity in tropical agricultural mosaic landscapes. To realize the full potential of ecoacoustics in conservation, sampling guidelines and user-friendly analysis packages will be key to facilitate a wider implementation. … (more)
- Is Part Of:
- Ecological indicators. Volume 120(2021)
- Journal:
- Ecological indicators
- Issue:
- Volume 120(2021)
- Issue Display:
- Volume 120, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 120
- Issue:
- 2021
- Issue Sort Value:
- 2021-0120-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01
- Subjects:
- Acoustic indices -- Rapid biodiversity assessment -- Conservation -- Ecoacoustics -- Land-use change -- Madagascar
Environmental monitoring -- Periodicals
Environmental management -- Periodicals
Environmental impact analysis -- Periodicals
Environmental risk assessment -- Periodicals
Sustainable development -- Periodicals
333.71405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1470160X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ecolind.2020.106929 ↗
- Languages:
- English
- ISSNs:
- 1470-160X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3648.877200
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British Library HMNTS - ELD Digital store - Ingest File:
- 23759.xml