Relationships between species assemblage richness and acoustic indices

• Yunevda E. León Rojas UFAM
• Jie Xie NJNU
• Juan G. Colonna UFAM

DOI: https://doi.org/10.5753/wcama.2025.9006

Resumo

Biodiversity assessment is increasingly reliant on acoustic indices derived from bioacoustic recordings. This study evaluates the performance of five acoustic indices–Acoustic Richness Index (Hs), Von Neumann Entropy (Hv), Acoustic Diversity Index (ADI), Bioacoustic Index (BIO), and Acoustic Evenness Index (AEI)–in controlled environments. We generated simulated assemblages by randomly mixing vocalizations from distinct species and specimens, creating 24,000 bird assemblages and 2,000 anuran assemblages. Each index was calculated for these datasets to assess its relationship with species richness. The results revealed that these indices exhibited a positive correlation with species richness in the assemblages. However, background noise significantly distorted these correlations. Our findings underscore the need for further research to clarify the specific conditions under which acoustic indices can reliably quantify biodiversity.

Referências

Alcocer, I., Lima, H., Sugai, L. S. M., and Llusia, D. (2022). Acoustic indices as proxies for biodiversity: a meta-analysis. Biological Reviews, 97(6):2209–2236.

Bicudo, T., Llusia, D., Anciães, M., and Gil, D. (2023). Poor performance of acoustic indices as proxies for bird diversity in a fragmented amazonian landscape. Ecological Informatics, 77:102241.

Boelman, N. T., Asner, G. P., Hart, P. J., and Martin, R. E. (2007). Multi-trophic invasion resistance in hawaii: bioacoustics, field surveys, and airborne remote sensing. Ecological Applications, 17(8):2137–2144.

Bradfer-Lawrence, T., Duthie, B., Abrahams, C., Adam, M., Barnett, R. J., Beeston, A., Darby, J., Dell, B., Gardner, N., Gasc, A., Heath, B., Howells, N., Janson, M., Kyoseva, M.-V., Luypaert, T., Metcalf, O. C., Nousek-McGregor, A. E., Poznansky, F., Ross, S. R. P.-J., Sethi, S., Smyth, S., Waddell, E., and Froidevaux, J. S. P. (2024). The acoustic index user’s guide: A practical manual for defining, generating and understanding current and future acoustic indices. Methods in Ecology and Evolution.

Colonna, J. G., Carvalho, J. R., and Rosso, O. A. (2020). Estimating ecoacoustic activity in the amazon rainforest through information theory quantifiers. PloS one, 15(7):e0229425.

Colonna, J. G., Ribas, A. D., dos Santos, E. M., and Nakamura, E. F. (2012). Feature subset selection for automatically classifying anuran calls using sensor networks. In The 2012 International Joint Conference on Neural Networks (IJCNN).

Eldridge, A., Guyot, P., Moscoso, P., Johnston, A., Eyre-Walker, Y., and Peck, M. (2018). Sounding out ecoacoustic metrics: Avian species richness is predicted by acoustic indices in temperate but not tropical habitats. Ecological Indicators, 95:939–952.

Farina, A. and Gage, S. H. (2017). Ecoacoustics: a new science. Ecoacoustics: The ecological role of sounds, pages 1–11.

Klinck, H., Maggie, Dane, S., Kahl, S., Denton, T., and Ramesh, V. (2024). Birdclef 2024. Kaggle.

Llusia, D. (2024). The limits of acoustic indices. Nature Ecology & Evolution, 8(4):606–607.

Mammides, C., Goodale, E., Dayananda, S. K., Kang, L., and Chen, J. (2017). Do acoustic indices correlate with bird diversity? insights from two biodiverse regions in yunnan province, south china. Ecological Indicators, 82:470–477.

Mammides, C., Wuyuan, P., Huang, G., Sreekar, R., Ieronymidou, C., Jiang, A., Goodale, E., and Papadopoulos, H. (2025). The combined effectiveness of acoustic indices in measuring bird species richness in biodiverse sites in cyprus, china, and australia. Ecological Indicators, 170:113105.

Pieretti, N., Farina, A., and Morri, D. (2011). A new methodology to infer the singing activity of an avian community: The acoustic complexity index (aci). Ecological indicators, 11(3):868–873.

Rajan, S. C., Athira, K., Jaishanker, R., Sooraj, N., and Sarojkumar, V. (2019). Rapid assessment of biodiversity using acoustic indices. Biodiversity and Conservation, 28:2371–2383.

Sánchez-Giraldo, C., Ayram, C. C., and Daza, J. M. (2021). Environmental sound as a mirror of landscape ecological integrity in monitoring programs. Perspectives in Ecology and Conservation, 19(3):319–328.

Sethi, S. S., Bick, A., Ewers, R. M., Klinck, H., Ramesh, V., Tuanmu, M.-N., and Coomes, D. A. (2023). Limits to the accurate and generalizable use of soundscapes to monitor biodiversity. Nature Ecology & Evolution, 7(9):1373–1378.

Sueur, J., Farina, A., Gasc, A., Pieretti, N., and Pavoine, S. (2014). Acoustic indices for biodiversity assessment and landscape investigation. Acta Acustica united with Acustica, 100(4):772–781.

Sueur, J., Pavoine, S., Hamerlynck, O., and Duvail, S. (2008). Rapid acoustic survey for biodiversity appraisal. PloS one, 3(12):e4065.

Towsey, M., Wimmer, J., Williamson, I., and Roe, P. (2014). The use of acoustic indices to determine avian species richness in audio-recordings of the environment. Ecological Informatics, 21:110–119.

Villanueva-Rivera, L. J., Pijanowski, B. C., Doucette, J., and Pekin, B. (2011). A primer of acoustic analysis for landscape ecologists. Landscape ecology, 26:1233–1246.

Zhao, Z., Xu, Z.-y., Bellisario, K., Zeng, R.-w., Li, N., Zhou, W.-y., and Pijanowski, B. C. (2019). How well do acoustic indices measure biodiversity? computational experiments to determine effect of sound unit shape, vocalization intensity, and frequency of vocalization occurrence on performance of acoustic indices. Ecological Indicators, 107:105588.