Bioacoustic Spectral Profiling of the Endangered Salmon-Crested Cockatoo (Cacatua moluccensis) Using Fast Fourier Transform for Conservation Monitoring
DOI:
10.29303/jppipa.v12i4.14656Published:
2026-04-25Downloads
Abstract
The endangered Salmon-crested Cockatoo (C. moluccensis) is an endangered species endemic to Maluku and faces serious pressures due to habitat loss and illegal trade. As a species that relies heavily on vocal communication, bioacoustic analysis offers an effective, non-invasive approach to support monitoring and conservation. This study aims to analyze and characterize the spectral profile of Salmon-crested Cockatoo (C. moluccensis) vocalizations using the FFT algorithm. Voice recordings were conducted on individuals in their natural and captive habitats using a Zoom H5 Handy recorder. Audio data were processed through noise filtering, normalization, and segmentation stages before being analyzed using computational programming-based FFT to obtain the main spectral parameters. The results show that Salmon-crested Cockatoo (C. moluccensis) vocalizations have a consistent spectral structure with the main parameters being dominant frequency, bandwidth, spectral centroid, and amplitude. Spectral analysis shows variations in frequency characteristics influenced by environmental and individual conditions. The dominant frequency of Salmon-crested Cockatoo (C. moluccensis) behavior in its natural habitat was 1981 Hz, while in captivity it was 2497.9 Hz, both of which are within the main frequency range of ± 1500 – 4000 Hz. These different conditions show that frequency alone is not enough to explain behavior, but must be combined with context (call patterns, social interactions, and other behavioral expressions). The FFT method proved effective in identifying and characterizing vocalization patterns quantitatively. These findings indicate that FFT-based bioacoustic analysis has the potential to be developed as a non-invasive monitoring tool to support the conservation and population management of endangered endemic bird species.
Keywords:
Bioacoustics Bird vocalization Cacatua moluccensis Conservation monitoring Fast Fourier Transform (FFT)References
Andrews, C., & Dick, J. (2021) The potential use of acoustic indices for biodiversity monitoring at long-term ecological research (LTER) sites. UK Centre for Ecology & Hydrology (UKCEH Project: 06948; NERC National Capability LTS-S: UK-SCAPE; NE/R016429/1). 26pp
Araya- Salas, M., Grabarczyk, E.E., Quiroz-Oliva, M., García-Rodríguez, A., & Rico-Guevara, A. (2025). Quantifying degradation in animal acoustic signals with the R package baRulho. Methods Ecol Evol, 16:456-467, https://doi.org/10.1111/2041-210X.14481 DOI: https://doi.org/10.1111/2041-210X.14481
BirdLife International. (2024). Cacatua moluccensis. The IUCN Red List of Threatened Species 2024: e.T22684784A249246064. https://doi.org/10.2305/IUCN.UK.2024-2.RLTS.T22684784A249246064.en. DOI: https://doi.org/10.2305/IUCN.UK.2024-2.RLTS.T22684784A249246064.en
Bradbury, J. W., & Vehrencamp, S. L. (2016). Principles of animal communication (2nd ed.). Sinauer Associates.
Bradbury, J.W., Cortopassi, K., & Clemmons, J.R. (2001). Geographical variation in the contact calls of Orange-Fronted Parakeets. Ornithology, 118(4): 958-972, https://doi.org/10.1093/auk/118.4.958 DOI: https://doi.org/10.1093/auk/118.4.958
Brittan-Powell, E.F., Dooling, R.J., Larsen, O.N., & Heaton, J.T. Mechanisms of vocal production in budgerigars (Melopsittacus undulatus). J Acoust Soc Am, 101(1): 578-89. https://doi.org/10.1121/1.418121.PMID:9000746. DOI: https://doi.org/10.1121/1.418121
Buxton, R.T., Brown, E., Sharman, L., Gabriele, C.M., & McKenna, M.F. (2016). Using bioacoustics to examine shifts in songbird phenology. Ecol Evol, 6(14): 4697-710. https://doi.org/10.1002/ece3.2242. DOI: https://doi.org/10.1002/ece3.2242
Catchpole, C. K., & Slater, P. J. B. (2018). Bird song: Biological themes and variations (2nd ed.). Cambridge University Press.
Darras, K.F., Batáry, P., Furnas, B.J., Celis-Murillo, A., Van Wilgenburg, S.L., Mulyani, Y., & Tscharntke, T. (2018). Comparing the sampling performance of sound recorders versus point counts in bird surveys: A meta-analysis. Journal of Applied Ecology, 55:2575–2586. https://doi.org/10.1111/1365-2664.13229 DOI: https://doi.org/10.1111/1365-2664.13229
Deichmann, J.L., Hernández-Serna, A., Amanda-Delgado, C.J., Campos-Cerqueira, M., & Aide, T.M. (2017). Soundscape analysis and acoustic monitoring document impacts of natural gas exploration on biodiversity in a tropical forest, Ecological Indicators, 74: 39-48, https://doi.org/10.1016/j.ecolind.2016.11.002 DOI: https://doi.org/10.1016/j.ecolind.2016.11.002
Heinsohn, R., Zdenek, C.N., Cunningham, R.B., Endler, J.A., & Langmore, N.E. (2017). Tool-assisted rhythmic drumming in palm cockatoos shares key elements of human instrumental music. Sci Adv. 23(6):e1602399. https://doi.org/10.1126/sciadv.1602399. DOI: https://doi.org/10.1126/sciadv.1602399
Hill, A.P., Prince, P., Covarrubias, E.P., Doncaster, C.P., Snaddon, J.L., & Rogers, A. (2018). AudioMoth: Evaluation of a smart open acoustic device for monitoring biodiversity and the environment. Methods Ecol Evol, 9:1199–1211. https://doi.org/10.1111/2041-210X.12955. DOI: https://doi.org/10.1111/2041-210X.12955
Kahl, S., Wood, C. M., Eibl, M., & Klinck, H. (2021). BirdNET: A deep learning solution for avian diversity monitoring. Ecol Informatics, 61, 101236. https://doi.org/10.1016/j.ecoinf.2021.101236. DOI: https://doi.org/10.1016/j.ecoinf.2021.101236
Krasheninnikova, A., Smeele, S., Snijders, M., Haldar, E., Carpenter, J., Zamora, R., Naguib, M., Wolf, J., Gahr, M., & von Bayern, A. (2024). Evolution of vocal production learning in parrots. bioRxiv, 11.05.622162. https://doi.org/10.1101/2024.11.05.622162. DOI: https://doi.org/10.1101/2024.11.05.622162
Mozer, A., & Prost, S. (2023). An Introduction to Illegal Wildlife Trade and its Effects on Biodiversity and Society. Forensic Science International: Animals and Environments, vol 3. 100064. https://doi.org/10.1016/j.fsiae.2023.100064. DOI: https://doi.org/10.1016/j.fsiae.2023.100064
Mutanu, L., Gohil, J., Gupta, K., Wagio, P., & Kotonya, G.A. (2022). Review of automated bioacoustics and general acoustics classification research. Sensors (Basel), 22 (21):8361. https://doi.org/10.3390/s22218361. DOI: https://doi.org/10.3390/s22218361
Nieto-Mora, D., Rodríguez-Buritica, S., Rodriguez-Marin, P.A., Martinez-Vargaz, J., & Isaza-Narvaez, C. (2023). Systematic review of machine learning methods applied to ecoacoustics and soundscape monitoring. Heliyon, 9 (10): e20275. https://doi.org/10.1016/j.heliyon.2023.e20275. DOI: https://doi.org/10.1016/j.heliyon.2023.e20275
Pillay, R., Fletcher, R. J., Sieving, K. E., Udell, B. J., & Bernard, H. (2019). Bioacoustic monitoring reveals shifts in breeding songbird populations and singing behavior with selective logging in tropical forests. Journal of Applied Ecology, 56 (11): 2482-2492. https://doi.org/10.1111/1365-2664.13492. DOI: https://doi.org/10.1111/1365-2664.13492
Purwanto, E., & Susanto (2023). The effectiveness of the law protection on the sustainability of Yellow-Crested Cockatoos (Cacatua sulphurea) in Indonesia. IOP Conf. Ser: Earth Environ. Sci, 1151 012007. https://doi.org/10.1088/1755-1315/1151/1/012007. DOI: https://doi.org/10.1088/1755-1315/1151/1/012007
Rumanta, M., Lelloltery, H., Kunda, R.M., & Kakisina, P. (2019). Selection of plant species as feed sources and nesting places salmon-crested cockatoo (Cacatua moluccensis) Maluku endemic in Manusela National Park (MNP). Adv Anim Vet Sci. 7(6): 474-479. https://doi.org/10.17582/journal.aavs/2019/7.6.474.479. DOI: https://doi.org/10.17582/journal.aavs/2019/7.6.474.479
Sainburg, T., Theilman, B., Thielk, M., & Gentner, T. Q. (2019). Parallels in the sequential organization of birdsong and human speech. Nat Commun, 10, 3636. https://doi.org/10.1038/s41467-019-11605-y. DOI: https://doi.org/10.1038/s41467-019-11605-y
Schoeman, R.P., Erbe, C., Pavan, G., Righini, R., & Thomas, J.A. (2022). Analysis of soundscapes as an ecological tool. In: Erbe, C., Thomas, JA (eds) Exploring animal behavior through sound: vol 1. Springer, Cham. https://doi.org/10.1007/978-3-030-97540-1_7. DOI: https://doi.org/10.1007/978-3-030-97540-1_7
Smith, E., Fiennes, S. & Heys, C. (2026). Investigating the illegal online trade of Indonesian parrots (Psittacine). Eur J Wildl Res, 72 (1). https://doi.org/10.1007/s10344-025-02035-x. DOI: https://doi.org/10.1007/s10344-025-02035-x
Stowell D. (2022). Computational bioacoustics with deep learning: a review and roadmap. PeerJ, 10:e13152. https://doi.org/10.7717/peerj.13152. DOI: https://doi.org/10.7717/peerj.13152
Sugai, L.S., Silva, T.S., Ribeiro, J.W., & Llusia, D. (2018). Terrestrial passive acoustic monitoring: Review and Perspectives. BioScience, 69: 15–25. https://doi.org/10.1093/biosci/biy147. DOI: https://doi.org/10.1093/biosci/biy147
Terry, A.M., Peake, T.M., & McGregor, P.K. (2005). The role of vocal individuality in conservation. Front Zool, 16;2(1):10. https://doi.org/10.1186/1742-9994-2-10. DOI: https://doi.org/10.1186/1742-9994-2-10
Watanabe, A., Eda-Fujiwara, & H., Kimura, T. (2007). Auditory feedback is necessary for long-term maintenance of high-frequency sound syllables in the song of adult male budgerigars (Melopsittacus undulatus). J Comp Physiol A Neuroethol Sens Neural Behav Physiol, 193(1): 81-97. https://doi.org/10.1007/s00359-006-0173-y. DOI: https://doi.org/10.1007/s00359-006-0173-y
Widodo, W. (2006). Abundance and natural food resources of birds in Manusela National Park, Seram, Central Mollucas. Biodiversitas, 7(1): 54-58. https://doi.org/10.13057/biodiv/d070114 DOI: https://doi.org/10.13057/biodiv/d070114
Zdenek, C.N., Heinsohn, R., & Langmore, N.E. (2017). Vocal individuality, but not stability, this wiid palm cockatoos (Probosciger aterrimus), Bioacoustic (The international journal of animal sound and its recording), doi: https://dx.doi.org/10.1080/09524622.2016.1272004. DOI: https://doi.org/10.1080/09524622.2016.1272004
Zdenek, C.N., Heinsohn, R., & Langmore, N.E. (2015). Vocal complexity in the palm cockatoo (Probosciger aterrimus). Bioacoustics, 24(3): 253 - 267. https://doi.org/10.1080/09524622.2015.1070281 DOI: https://doi.org/10.1080/09524622.2015.1070281
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