Sound evidence for biodiversity monitoring

The soundscape of the Anthropocene ocean

Duarte, C. M., Chapuis, L., Collin, S. P., da Costa, D. P., Devassy, R. P., Eguı́luz, V. M., Erbe, C., Lamont, T. A. C., Halpern, B. S., Harding, H. R., et al. (2021) · Science · doi:10.1126/science.aba4658 · Cited by 989 · see citing works

BirdNET: A deep learning solution for avian diversity monitoring

Kahl, S., Wood, C. M., Eibl, M., & Klinck, H. (2021) · Ecological Informatics · doi:10.1016/j.ecoinf.2021.101236 · Cited by 903 · see citing works

Computational bioacoustics with deep learning: a review and roadmap

Stowell, D. (2022) · PeerJ · doi:10.7717/peerj.13152 · Cited by 471 · see citing works

The origins of acoustic communication in vertebrates

Chen, Z., & Wiens, J. J. (2020) · Nature Communications · doi:10.1038/s41467-020-14356-3 · Cited by 161 · see citing works

Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook

Goodwin, M., Halvorsen, K. T., Jiao, L., Knausgård, K. M., Martin, A. H., Moyano, M., Oomen, R. A., Rasmussen, J. H., Sørdalen, T. K., & Thorbjørnsen, S. H. (2021) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsab255 · Cited by 141 · see citing works

Classification of pig calls produced from birth to slaughter according to their emotional valence and context of production

Briefer, E. F., Sypherd, C. C.-R., Linhart, P., Leliveld, L. M. C., de la Torre, M. P., Read, E. R., Guérin, C., Deiss, V., Monestier, C., Rasmussen, J. H., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-07174-8 · Cited by 107 · see citing works

CityNet—Deep learning tools for urban ecoacoustic assessment

Fairbrass, A. J., Firman, M., Williams, C., Brostow, G. J., Titheridge, H., & Jones, K. E. (2019) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13114 · Cited by 98 · see citing works

Using machine learning to decode animal communication

Rutz, C., Bronstein, M. M., Raskin, A., Vernes, S. C., Zacarian, K., & Blasi, D. E. (2023) · Science · doi:10.1126/science.adg7314 · Cited by 77 · see citing works

Automatic detection and classification of baleen whale social calls using convolutional neural networks

Rasmussen, J. H., & Širović, A. (2021) · The Journal of the Acoustical Society of America · doi:10.1121/10.0005047 · Cited by 56 · see citing works

Improve automatic detection of animal call sequences with temporal context

Madhusudhana, S., Shiu, Y., Klinck, H., Fleishman, E., Liu, X., Nosal, E., Helble, T. A., Cholewiak, D., Gillespie, D. M., Širović, A., et al. (2021) · Journal of The Royal Society Interface · doi:10.1098/rsif.2021.0297 · Cited by 51 · see citing works

Toward a Computational Neuroethology of Vocal Communication: From Bioacoustics to Neurophysiology, Emerging Tools and Future Directions

Sainburg, T., & Gentner, T. Q. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.811737 · Cited by 43 · see citing works

Soundscapes predict species occurrence in tropical forests

Sethi, S. S., Ewers, R. M., Jones, N. S., Sleutel, J., Shabrani, A., Zulkifli, N., & Picinali, L. (2022) · Oikos · doi:10.1111/oik.08525 · Cited by 34 · see citing works

Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification

Ghani, B., Kalkman, V. J., Planqué, B., Vellinga, W.-P., Gill, L., & Stowell, D. (2025) · Scientific Reports · doi:10.1038/s41598-025-00996-2 · Cited by 22 · see citing works

Deciphering complex coral reef soundscapes with spatial audio and 360° video

Dantzker, M. S., Duggan, M. T., Berlik, E., Delikaris‐Manias, S., Bountourakis, V., Pulkki, V., & Rice, A. N. (2025) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.70149 · Cited by 19 · see citing works

animal2vec and MeerKAT: A self‐supervised transformer for rare‐event raw audio input and a large‐scale reference dataset for bioacoustics

Zimmermann, J., Demartsev, V., Averly, B., Dhanjal‐Adams, K. L., Duteil, M., Gall, G. E. C., Faiß, M., Johnson-Ulrich, L., Stowell, D., Manser, M. B., et al. (2025) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.70218 · Cited by 12 · see citing works

Machine learning algorithms can predict emotional valence across ungulate vocalizations

Lefevre, R., Sypherd, C. C.-R., & Briefer, E. F. (2025) · iScience · doi:10.1016/j.isci.2025.111834 · Cited by 9 · see citing works

Five recommendations to fill the blank space in indicators at local and short-term scales

Hébert, K., Jousse, M., Serrano, J., Karger, D. N., Blanchet, F. G., & Pollock, L. J. (2025) · Biological Conservation · doi:10.1016/j.biocon.2025.111007 · Cited by 7 · see citing works

Ecology for future cities

Casanelles‐Abella, J., & Egerer, M. (2025) · Basic and Applied Ecology · doi:10.1016/j.baae.2025.01.002 · Cited by 6 · see citing works

Cross-Modal and Contrastive Optimization for Explainable Multimodal Recognition of Predatory and Parasitic Insects

Liu, M., Wang, L., Jia, R., Ji, S., Wu, Y., Wu, Y., Xie, L., & Dong, M. (2025) · Insects · doi:10.3390/insects16121187 · Cited by 5 · see citing works

Big data, sound science, lasting impact: A framework for passive acoustic monitoring

Wall, C. C., McKenna, M. F., Hatch, L. T., Parijs, S. M. V., Bochenek, R., Dugan, P. J., Parcerisas, C., Ryan, J., Anderson, C. D., Becker, K. M., et al. (2025) · Big Earth Data · doi:10.1080/20964471.2025.2583505 · Cited by 6 · see citing works

Green finance and bird diversity: Evidence from China

Huang, X., Wang, Y., & Huang, Q. (2026) · Economic Modelling · doi:10.1016/j.econmod.2026.107478 · Cited by 5 · see citing works

Navigating scale and interdisciplinary dynamics in conservation social science

DePuy, W., Thung, P., Schreer, V., & Erb, W. M. (2025) · Conservation Biology · doi:10.1111/cobi.70005 · Cited by 5 · see citing works

Implementation of automated biodiversity monitoring lags behind its potential

King, R. A., & Halpern, B. S. (2025) · Environmental Research Letters · doi:10.1088/1748-9326/add02d · Cited by 4 · see citing works

Advancing biological taxonomy in the AI era: deep learning applications, challenges, and future directions

Lu, S., Fang, C., Zeng, H., Hu, R., Wei, C., Miao, R., Gan, X., Guo, B., Yao, M., & He, S. (2025) · Science China Life Sciences · doi:10.1007/s11427-025-3074-8 · Cited by 6 · see citing works

Deep Audio Detection Networks From Passive Acoustic Monitoring of a Critically Endangered Primate

Hong, Z., Xie, Y., He, K., Zhou, Q., Miu, Y., Peng, H., Cao, Z., & Fan, P. (2025) · Integrative Zoology · doi:10.1111/1749-4877.70019 · Cited by 4 · see citing works

First-of-its-kind AI model for bioacoustic detection using a lightweight associative memory Hopfield neural network

Gascoyne, A., & Lomas, W. (2025) · Ecological Informatics · doi:10.1016/j.ecoinf.2025.103382 · Cited by 4 · see citing works

An End-to-End Ocean Environmental Noise Anomaly Detection Framework Combining Time–Frequency Information and Expert Gating

Du, L., Liu, M., Lv, Z., Tan, C., He, J., & Yu, F. (2025) · Journal of Marine Science and Engineering · doi:10.3390/jmse13010141 · Cited by 4 · see citing works

Who said that? Deciphering Complex Coral Reef Soundscapes with Spatial Audio and 360° VideoPreprint

Dantzker, M. S., Duggan, M. T., Berlik, E., Delikaris‐Manias, S., Bountourakis, V., Pulkki, V., & Rice, A. N. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.16.628659 · Cited by 4 · see citing works

Editorial: Understanding rest-activity rhythms: uncovering factors shaping behavioural rhythms in diverse ecological contexts

Baotic, A. (2025) · Frontiers in Conservation Science · doi:10.3389/fcosc.2025.1590562 · Cited by 3 · see citing works

BirdNET: Automated Detection for Monitoring Critically Endangered Lemurs from the Maromizaha Forest

Ferrario, V., Versaci, G., Dall'Ava, G., Gregorio, C. D., Carugati, F., Cristiano, W., Torti, V., Ratsimbazafy, J., Giacoma, C., Gamba, M., et al. (2026) · Integrative Zoology · doi:10.1111/1749-4877.70094 · Cited by 2 · see citing works

Passive acoustic monitoring reveals the diurnal calling activity and habitat selection of white-headed langurs

Xie, Y.-H., Hong, Z.-W., Yin-shu, L., Zhou, Q.-H., Cao, Z., & Fan, P. (2026) · Ecological Informatics · doi:10.1016/j.ecoinf.2026.103837 · Cited by 2 · see citing works

The global biogeography of passerine songs

Bacquelé, Q., Barnagaud, J., Violle, C., Theunissen, F. E., & Mathevon, N. (2026) · Science · doi:10.1126/science.aee6239 · Cited by 2 · see citing works

Transforming Noise Control Stations into Soundscape Resource Monitoring Networks: An Adaptive Location Recommendation

Wang, J., Wang, Z., Li, C., Cui, S., Liu, Y., Huang, Q., & Wang, T. (2025) · Environmental Science & Technology · doi:10.1021/acs.est.5c09611 · Cited by 2 · see citing works

Harnessing edge computing and citizen science: A new prototype design for continental‐scale acoustic monitoring in Australia and beyond

Griffin, A. S., Kelly, O. W., Johns, E., Chalup, S. K., Callen, A., Southwell, D. M., Hayward, M. W., & Sims, Y. (2026) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.70333 · Cited by 1 · see citing works

Big Data, Sound Science, Lasting Impact: a framework for passive acoustic monitoringPreprint

Wall, C. C., McKenna, M. F., Hatch, L. T., Parijs, S. M. V., Bochenek, R., Dugan, P. J., Parcerisas, C., Ryan, J., Anderson, C. D., Becker, K. M., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.22.650104 · Cited by 1 · see citing works

Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation

Zsebők, S. (2026) · Biologia Futura · doi:10.1007/s42977-026-00322-5

TabPFN: Shedding a New Light for Biomedicine With a Small Data Prediction Model

Li, M., Zhang, S., & Xu, C. (2025) · MedComm – Future Medicine · doi:10.1002/mef2.70022

Sound science

(2025) · Nature Ecology & Evolution · doi:10.1038/s41559-025-02860-y

Systematic review of biodiversity monitoring shows gradual rise of scaleable and automated methods and inherent spatial and taxonomic biasesPreprint

Lawson, J., Lee-Grant, C., O'Neill, A., Forey, E., de Ruig, L., Weeks, T. L., Yang, J., Ewers, R. M., Rosindell, J., & Pearse, W. D. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.17.682377 · Cited by 1 · see citing works

Lightweight Hopfield Neural Networks for Bioacoustic Detection and Call Monitoring of Captive Primates

Lomas, W., Gascoyne, A., Dubreuil, C., Vaglio, S., & Naughton, L. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-032-07986-2_38

Cognitive alignment as a pathway to collaborative environmental sound AI in ecological monitoring

Divya Lakshmi, S., & Kumar, N. S. (2026) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2025.1720295

A Biomimetic Flexible Piezoelectric Acoustic Sensor with Comb Wing Structures for Intelligent Sound Recognition

Jin, B., Sheng, T., Ma, Z., Ke, X., Zhou, W., Ye, H., Gai, Y., & Jiang, Y. G. (2026) · IEEE International Conference on Micro Electro Mechanical Systems (MEMS) · doi:10.1109/mems64181.2026.11419383

Weaving for action: Transformative change in biodiversity monitoring

Garzón‐López, C. X., Bellis, L. M., Castillo, C., Nadim, T., Rocchini, D., Meerbeek, K. V., Stokland, H. B., Turnhout, E., Gold, M. M., & Beaulieu, A. (2026) · People and Nature · doi:10.1002/pan3.70279

BioSEN: A Bio-Acoustic Signal Enhancement Network for Animal Vocalizations

Song, T., Ta, T. V., Thamwattana, N., Nomura, H., & Nguyen, L. T. H. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11463818

Bioacoustic raw-audio transformer effectively and efficiently encodes mixed sample rate data

Faiß, M., Strandburg‐Peshkin, A., Roch, M. A., & Zimmermann, J. (2026) · Scientific Reports · doi:10.1038/s41598-026-74940-3

Computational Bioacoustics: Biodiversity Monitoring and Assessment

Ganchev, T. D. (2017) · Cited by 16 · see citing works

Application of ecoacoustic monitoring in the field of biodiversity science.

Bian, Q., Wang, C., & Hao, Z. (2021) · PubMed · doi:10.13287/j.1001-9332.202103.032 · Cited by 6 · see citing works

Application of passive acoustic methods in biodiversity monitoring and research

Xiao, Z. (2024) · Biodiversity Science · doi:10.17520/biods.2024462

Monitoring Agroecosystem Biodiversity Using Bioacoustics and Remote Recording Units

Paisley-Jones, C. E. (2011) · OhioLink ETD Center (Ohio Library and Information Network) · Cited by 1 · see citing works

Sound science

(2025) · Nature Ecology & Evolution · doi:10.1038/s41559-025-02860-y