Recent Publications

2024

Bielski, L. et al. (2024) ‘Can the Hermit Warbler (<em>Setophaga occidentalis</em>) serve as an old-forest indicator species in the Sierra Nevada?’, Journal of Field Ornithology, 95(1). Available at: https://doi.org/10.5751/JFO-00390-950104.
Clink, D.J. (2024) ‘Isochronous rhythms: Facilitating song coordination across taxa?’, Current Biology, 34(5), pp. R201–R203. Available at: https://doi.org/10.1016/j.cub.2024.01.020.
De León-Girón, G. et al. (2024) ‘Vocalization recordings of the Spotted Owl (<em>Strix occidentalis</em>) in the Sierra San Pedro Mártir, Baja California, Mexico’, Western North American Naturalist, 84(1). Available at: https://scholarsarchive.byu.edu/wnan/vol84/iss1/14.
Erb, W.M. et al. (2024) ‘Vocal complexity in the long calls of Bornean orangutans’, PeerJ, 12, p. e17320. Available at: https://doi.org/10.7717/peerj.17320.
Harrison, M.E. et al. (2024) ‘Impacts of fire and prospects for recovery in a tropical peat forest ecosystem’, Proceedings of the National Academy of Sciences, 121(17), p. e2307216121. Available at: https://doi.org/10.1073/pnas.2307216121.
Hedwig, D. and Kohlberg, A. (2024) ‘Call combination in African forest elephants Loxodonta cyclotis’, PLOS ONE, 19(3), p. e0299656. Available at: https://doi.org/10.1371/journal.pone.0299656.
Lakdari, M.W. et al. (2024) ‘Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons’, Ecological Informatics, 80, p. 102457. Available at: https://doi.org/10.1016/j.ecoinf.2023.102457.
Swider, C.R. et al. (2024) ‘Implications of target signal choice in passive acoustic monitoring: an example of age- and sex-dependent vocal repertoire use in African forest elephants (Loxodonta cyclotis)’, Remote Sensing in Ecology and Conservation, n/a(n/a). Available at: https://doi.org/10.1002/rse2.380.
Wood, C.M. and Kahl, S. (2024) ‘Guidelines for appropriate use of BirdNET scores and other detector outputs’, Journal of Ornithology [Preprint]. Available at: https://doi.org/10.1007/s10336-024-02144-5.
Wood, C.M. et al. (2024) ‘A scalable and transferable approach to combining emerging conservation technologies to identify biodiversity change after large disturbances’, Journal of Applied Ecology, 61(4), pp. 797–808. Available at: https://doi.org/10.1111/1365-2664.14579.

2023

Aceves-Bueno, E. et al. (2023) ‘Derelict gear from an illegal fishery: Lessons from gear retrieval efforts in the Upper Gulf of California’, Marine Policy, 147, p. 105387. Available at: https://doi.org/10.1016/j.marpol.2022.105387.
Adret, P., Clink, D.J. and Dolotovskaya, S. (2023) ‘Duetting and Turn-Taking Patterns of Singing Mammals: From Genes to Vocal Plasticity, and Beyond | Frontiers Research Topic’, Frontiers in Ecology and Evolution, 11. Available at: https://www.frontiersin.org/research-topics/23994/duetting-and-turn-taking-patterns-of-singing-mammals-from-genes-to-vocal-plasticity-and-beyond (Accessed: 28 November 2023).
Baker, C.S. et al. (2023) ‘Quantification by droplet digital PCR and species identification by metabarcoding of environmental (e)DNA from Blainville’s beaked whales, with assisted localization from an acoustic array’, PLOS ONE, 18(9), p. e0291187. Available at: https://doi.org/10.1371/journal.pone.0291187.
Barlow, D.R. et al. (2023) ‘Environmental conditions and marine heatwaves influence blue whale foraging and reproductive effort’, Ecology and Evolution, 13(2), p. e9770. Available at: https://doi.org/10.1002/ece3.9770.
Brunk, K.M. et al. (2023) ‘Quail on fire: changing fire regimes may benefit mountain quail in fire-adapted forests’, Fire Ecology, 19(1), p. 19. Available at: https://doi.org/10.1186/s42408-023-00180-9.
Cañas, J.S. et al. (2023) ‘A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring’, Scientific Data, 10(1), pp. 1–12. Available at: https://doi.org/10.1038/s41597-023-02666-2.
Clink, D.J. (2023) ‘Documenting the disappearance of primates from spaces where they once occurred’, Conservation Biology, 37(5), p. e14140. Available at: https://doi.org/10.1111/cobi.14140.
Clink, D.J. et al. (2023) ‘A workflow for the automated detection and classification of female gibbon calls from long-term acoustic recordings’, Frontiers in Ecology and Evolution, 11. Available at: https://www.frontiersin.org/articles/10.3389/fevo.2023.1071640 (Accessed: 9 February 2023).
Cohen, R.E. et al. (2023) ‘Spatial and temporal separation of toothed whales in the western North Atlantic’, Marine Ecology Progress Series, 720, pp. 1–24. Available at: https://doi.org/10.3354/meps14396.
Cox, K.D. et al. (2023) ‘Military training in the Canadian Pacific: Taking aim at critical habitat or sufficient mitigation of noise pollution impacts?’, Marine Policy [Preprint]. Available at: https://doi.org/10.1016/j.marpol.2023.105945.
D’Agostino, J. et al. (2023) ‘Evidence for Vocal Flexibility in Wild Siamang (Symphalangus syndactylus) Ululating Scream Phrases’, International Journal of Primatology, pp. 1–22. Available at: https://doi.org/10.1007/s10764-023-00384-5.
D’Souza, M.L. et al. (2023) ‘Arabian Sea Humpback Whale (Megaptera novaeangliae) Singing Activity off Netrani Island, India’, Aquatic Mammals, 49(3), pp. 223–235. Available at: https://doi.org/10.1578/AM.49.3.2023.223.
Erb, W. and DePuy, W. (2023) ‘Hearing the forest through the trees: Sonic entanglements in Nusantara’, Southeast Asia Program Bulletin, Spring 2023(Bulletin), pp. 16–21.
Erb, W.M. et al. (2023) ‘Wildfire smoke linked to vocal changes in wild Bornean orangutans’, iScience, 26(7), p. 107088. Available at: https://doi.org/10.1016/j.isci.2023.107088.
Farrell, D. (2023) ‘Conservation Bioacoustics- Listening to the Heartbeat of the Earth - Aaron N. Rice, Marissa L. Garcia, Laurel B. Symes, and Holger Klinck’, Acoustics Today, 7 September. Available at: https://acousticstoday.org/conservation-bioacoustics-listening-to-the-heartbeat-of-the-earth-aaron-n-rice-marissa-l-garcia-laurel-b-symes-and-holger-klinck/ (Accessed: 13 September 2023).
Fleishman, E. et al. (2023) ‘Ecological inferences about marine mammals from passive acoustic data’, Biological Reviews, 98(5). Available at: https://onlinelibrary.wiley.com/doi/full/10.1111/brv.12969 (Accessed: 7 May 2024).
Francomano, D. et al. (2023) ‘Acoustic recording complements camera traps for monitoring sensitive penguin populations’, Ibis, n/a(n/a). Available at: https://doi.org/10.1111/ibi.13235.
Ghani, B. et al. (2023) ‘Global birdsong embeddings enable superior transfer learning for bioacoustic classification’, Scientific Reports, 13(1), p. 22876. Available at: https://doi.org/10.1038/s41598-023-49989-z.
Hack, B. et al. (2023) ‘Fine-scale forest structure, not management regime, drives occupancy of a declining songbird, the Olive-sided Flycatcher, in the core of its range’, Ornithological Applications, p. duad065. Available at: https://doi.org/10.1093/ornithapp/duad065.
Han, S.M. et al. (2023) ‘Sound production biomechanics in three-spined toadfish and potential functional consequences of swim bladder morphology in the Batrachoididae’, Journal of the Acoustical Society of America [Preprint]. Available at: https://doi.org/doi:10.1121/10.0022386.
Hopping, W.A. et al. (2023) ‘Simultaneous passive acoustic monitoring uncovers evidence of potentially overlooked temporal variation in an Amazonian bird community’, Ibis, n/a(n/a). Available at: https://doi.org/10.1111/ibi.13293.
Iafrate, J. et al. (2023) ‘Evidence of Atlantic midshipman (Porichthys plectrodon) vocalizations from an unmanned surface vehicle in the U.S. South Atlantica)’, The Journal of the Acoustical Society of America, 154(5), pp. 2928–2936. Available at: https://doi.org/10.1121/10.0022328.
Joly, A. et al. (2023) ‘Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi’, in A. Arampatzis et al. (eds) Experimental IR Meets Multilinguality, Multimodality, and Interaction. Cham: Springer Nature Switzerland (Lecture Notes in Computer Science), pp. 416–439. Available at: https://doi.org/10.1007/978-3-031-42448-9_27.
Kahl, S. et al. (2023) ‘Overview of BirdCLEF 2023: Automated Bird Species Identification in Eastern Africa 4.0’, in Working Notes of CLEF.
Kelly, K.G. et al. (2023) ‘Estimating population size for California spotted owls and barred owls across the Sierra Nevada ecosystem with bioacoustics’, Ecological Indicators, 154, p. 110851. Available at: https://doi.org/10.1016/j.ecolind.2023.110851.
Kennedy, A.G. et al. (2023) ‘Evidence for acoustic niche partitioning depends on the temporal scale in two sympatric Bornean hornbill species’, Biotropica, n/a(n/a). Available at: https://doi.org/10.1111/btp.13205.
Li, P. et al. (2023) ‘Using deep learning to track time × frequency whistle contours of toothed whales without human-annotated training data’, The Journal of the Acoustical Society of America, 154(1), pp. 502–517. Available at: https://doi.org/10.1121/10.0020274.
Li, P. et al. (2023) ‘Learning Stage-wise GANs for Whistle Extraction in Time-Frequency Spectrograms’, IEEE Transactions on Multimedia, pp. 1–13. Available at: https://doi.org/10.1109/TMM.2023.3251109.
Looby, A. et al. (2023) ‘Global inventory of species categorized by known underwater sonifery’, Scientific Data [Preprint]. Available at: https://doi.org/10.1038/s41597-41023-02745-41594; 10.1038/s41597-023-02745-4.
Madhusudhana, S. et al. (2023) ‘A passive acoustic approach to impact assessment of large underwater explosions on marine fauna — planning, analyses, and lessons learned’, in OCEANS 2023 - Limerick. OCEANS 2023 - Limerick, pp. 1–7. Available at: https://doi.org/10.1109/OCEANSLimerick52467.2023.10244589.
McCullough, J.L.K. et al. (2023) ‘Geographic distribution of the Cross Seamount beaked whale based on acoustic detections’, Marine Mammal Science [Preprint]. Available at: https://doi.org/10.1111/mms.13061.
McGinn, K. et al. (2023) ‘Feature embeddings from the BirdNET algorithm provide insights into avian ecology’, Ecological Informatics, 74, p. 101995. Available at: https://doi.org/10.1016/j.ecoinf.2023.101995.
Menon, T., Ramesh, V. and Barve, S. (2023) ‘Himalayan birds that show the greatest elevational shifts remain within the narrowest thermal regimes’, Global Ecology and Biogeography, 32(12), pp. 2111–2121. Available at: https://doi.org/10.1111/geb.13761.
Miller, C.R. and Rice, A.N. (2023) ‘A synthesis of the risks of marine light pollution across organismal and ecological scales’, Aquatic Conservation: Marine and Freshwater Ecosystems, n/a(n/a). Available at: https://doi.org/10.1002/aqc.4011.
Rameau, A. et al. (2023) ‘Changes in Cough Airflow and Acoustics After Injection Laryngoplasty’, The Laryngoscope, 133(S3), pp. S1–S14. Available at: https://doi.org/10.1002/lary.30255.
Rameau, A. et al. (2023) ‘Acoustic Screening of the “Wet voice”: Proof of Concept in an ex vivo Canine Laryngeal Model’, The Laryngoscope, 133(10), pp. 2517–2524. Available at: https://doi.org/10.1002/lary.30525.
Ramesh, V. et al. (2023) ‘Using passive acoustic monitoring to examine the impacts of ecological restoration on faunal biodiversity in the Western Ghats’, Biological Conservation, 282, p. 110071. Available at: https://doi.org/10.1016/j.biocon.2023.110071.
Rice, A.N. and Cohen, R.E. (2023) ‘Listening to Great Lakes fishes’, IAGLR Lakes Letters, (Spring), pp. 11–12.
Roberts, L. and Rice, A.N. (2023) ‘Vibrational and acoustic communication in fishes: The overlooked overlap between the underwater vibroscape and soundscape’, The Journal of the Acoustical Society of America, 154(4), pp. 2708–2720. Available at: https://doi.org/10.1121/10.0021878.
Rørstadbotnen, R.A. et al. (2023) ‘Simultaneous tracking of multiple whales using two fiber-optic cables in the Arctic’, Frontiers in Marine Science, 10. Available at: https://www.frontiersin.org/articles/10.3389/fmars.2023.1130898 (Accessed: 8 May 2023).
Ross, S.R.P.-J. et al. (2023) ‘Passive Acoustic Monitoring provides a fresh perspective on fundamental ecological questions’, Functional Ecology, 37, pp. 959–975. Available at: https://doi.org/10.1111/1365-2435.14275.
Schliep, E.M. et al. (2023) ‘Assessing Marine Mammal Abundance: A Novel Data Fusion’. arXiv. Available at: http://arxiv.org/abs/2310.08397 (Accessed: 1 November 2023).
Sethi, S.S. et al. (2023) ‘Limits to the accurate and generalizable use of soundscapes to monitor biodiversity’, Nature Ecology & Evolution, pp. 1–6. Available at: https://doi.org/10.1038/s41559-023-02148-z.
Soanes, L.M. et al. (2023) ‘Passive acoustic monitoring of birds in the Lesser Antilles—a useful tool for monitoring remote sites?’, Journal of Caribbean Ornithology, 36, pp. 62–74. Available at: https://doi.org/10.55431/jco.2023.36.62-74.
Sossover, D. et al. (2023) ‘Using the BirdNET algorithm to identify wolves, coyotes, and potentially their interactions in a large audio dataset’, Mammal Research [Preprint]. Available at: https://doi.org/10.1007/s13364-023-00725-y.
Southall, B.L. et al. (2023) ‘Managing human activity and marine mammals: A biologically based, relativistic risk assessment framework’, Frontiers in Marine Science, 10. Available at: https://www.frontiersin.org/articles/10.3389/fmars.2023.1090132 (Accessed: 8 May 2023).
Taweesintananon, K. et al. (2023) ‘Distributed acoustic sensing of ocean-bottom seismo-acoustics and distant storms: A case study from Svalbard, Norway’, GEOPHYSICS, 88(3), pp. B135–B150. Available at: https://doi.org/10.1190/geo2022-0435.1.
Thomsen, B. et al. (2023) ‘Embracing “more-than-Western” bird knowledge: A decolonial process to move from discussion to action’, Ornithological Applications, p. duad053. Available at: https://doi.org/10.1093/ornithapp/duad053.
Tonetti, V. et al. (2023) ‘Landscape heterogeneity: concepts, quantification, challenges and future perspectives’, Environmental Conservation, pp. 1–10. Available at: https://doi.org/10.1017/S0376892923000097.
Van Hoeck, R.V. et al. (2023) ‘Comparing Atlantic Cod Temporal Spawning Dynamics across a Biogeographic Boundary: Insights from Passive Acoustic Monitoring’, Marine and Coastal Fisheries, 15(2), p. e10226. Available at: https://doi.org/10.1002/mcf2.10226.
van Kuijk, S.M. et al. (2023) ‘Automated detection and detection range of primate duets: a case study of the red titi monkey (Plecturocebus discolor) using passive acoustic monitoring’, Frontiers in Ecology and Evolution, 11. Available at: https://www.frontiersin.org/articles/10.3389/fevo.2023.1173722 (Accessed: 29 August 2023).
Vu, T.T. et al. (2023) ‘Using mobile smartphones and bioacoustics to monitor endangered bird species’, Ibis, n/a(n/a). Available at: https://doi.org/10.1111/ibi.13215.
Vu, T.T. et al. (2023) ‘Passive acoustic monitoring using smartphones reveals an alarming gibbon decline in a protected area in the central Annamite Mountains, Vietnam’, American journal of primatology, 85(11). Available at: https://doi.org/10.1002/ajp.23544.
Watson, W.A. et al. (2023) ‘Passive acoustic monitoring indicates Barred Owls are established in northern coastal California and management intervention is warranted’, Ornithological Applications, p. duad017. Available at: https://doi.org/10.1093/ornithapp/duad017.
White, E.L. et al. (2023) ‘One size fits all? Adaptation of trained CNNs to new marine acoustic environments’, Ecological Informatics, 78, p. 102363. Available at: https://doi.org/10.1016/j.ecoinf.2023.102363.
Williams, K.A. et al. (2023) ‘Sound-Related Effects of Offshore Wind Energy on Fishes and Aquatic Invertebrates: Research Recommendations’, in A.N. Popper et al. (eds) The Effects of Noise on Aquatic Life: Principles and Practical Considerations. Cham: Springer International Publishing, pp. 1–19. Available at: https://doi.org/10.1007/978-3-031-10417-6_164-1.
Wood, C.M. et al. (2023) ‘Challenges and opportunities for bioacoustics in the study of rare species in remote environments’, Conservation Science and Practice, n/a(n/a), p. e12941. Available at: https://doi.org/10.1111/csp2.12941.

2022

Alcocer, I. et al. (2022) ‘Acoustic indices as proxies for biodiversity: a meta-analysis’, Biological Reviews, 97(6), pp. 2209–2236. Available at: https://doi.org/10.1111/brv.12890.
Anunciação, P.R. et al. (2022) ‘Estimating the diversity of tropical anurans in fragmented landscapes with acoustic monitoring: lessons from a sampling sufficiency perspective’, Biodiversity and Conservation, 31(12), pp. 3055–3074. Available at: https://doi.org/10.1007/s10531-022-02475-w.
Arvind, C. et al. (2022) ‘Species detection framework using automated recording units: a case study of the Critically Endangered Jerdon’s courser’, Oryx, pp. 1–8. Available at: https://doi.org/10.1017/S0030605321000995.
Barlow, D.R. et al. (2022) ‘Shaken, not stirred: blue whales show no acoustic response to earthquake events’, Royal Society Open Science, 9(7), p. 220242. Available at: https://doi.org/10.1098/rsos.220242.
Bouffaut, L. et al. (2022) ‘Eavesdropping at the Speed of Light: Distributed Acoustic Sensing of Baleen Whales in the Arctic’, Frontiers in Marine Science, 9. Available at: https://doi.org/https://doi.org/10.3389/fmars.2022.901348.
Calsbeek, R., Zamora-Camacho, F.J. and Symes, L.B. (2022) ‘Individual contributions to group chorus dynamics influence access to mating opportunities in wood frogs’, Ecology Letters, n/a(n/a). Available at: https://doi.org/10.1111/ele.14002.
Clink, D.J. et al. (2022) ‘Tarsier islands: Exploring patterns of variation in tarsier duets from offshore islands of North Sulawesi’, American Journal of Primatology, n/a(n/a), p. e23410. Available at: https://doi.org/10.1002/ajp.23410.
Conant, P.C. et al. (2022) ‘Silbido profundo: An open source package for the use of deep learning to detect odontocete whistles’, The Journal of the Acoustical Society of America, 152(6), pp. 3800–3808. Available at: https://doi.org/10.1121/10.0016631.
Estabrook, B.J. et al. (2022) ‘Dynamic spatiotemporal acoustic occurrence of North Atlantic right whales in the offshore Rhode Island and Massachusetts Wind Energy Areas’, Endangered Species Research, 49, pp. 115–133. Available at: https://doi.org/10.3354/esr01206.
Fournet, M.EH. et al. (2022) ‘Altered acoustic community structure indicates delayed recovery following ecosystem perturbations’, Estuarine, Coastal and Shelf Science, 274, p. 107948. Available at: https://doi.org/10.1016/j.ecss.2022.107948.
Fregosi, S. et al. (2022) ‘Detection probability and density estimation of fin whales by a Seaglider’, The Journal of the Acoustical Society of America, 152(4), pp. 2277–2291. Available at: https://doi.org/10.1121/10.0014793.
Getchell, R.G. et al. (2022) ‘Effects of ultrasonic algal control devices on fish’, Lake and Reservoir Management, 38(3), pp. 240–255. Available at: https://doi.org/10.1080/10402381.2022.2077865.
Ghani, B., Klinck, H. and Hallerberg, S. (2022) ‘Classification of group-specific variations in songs within House Wren species using machine learning models’, Ecological Informatics, p. 101946. Available at: https://doi.org/10.1016/j.ecoinf.2022.101946.
Grueter, C.C. et al. (2022) ‘Ecology and behaviour of odd-nosed colobines’, in The Colobines: Natural History, Behaviour and Ecological Diversity. Cambridge University Press, pp. 156–185.
Hofstadter, D.F. et al. (2022) ‘Arresting the spread of invasive species in continental systems’, Frontiers in Ecology and the Environment, 20(5), pp. 278–284. Available at: https://doi.org/10.1002/fee.2458.
Joly, A. et al. (2022) ‘Overview of LifeCLEF 2022: an evaluation of Machine-Learning based Species Identification and Species Distribution Prediction’, CLEF 2022 - Conference and Labs of the Evaluation Forum [Preprint].
Kahl, S. et al. (2022) ‘Overview of BirdCLEF 2022: Endangered bird species recognition in soundscape recordings’, in. CLEF 2022 - Conference and Labs of the Evaluation Forum, p. 1929. Available at: https://hal.inrae.fr/hal-03791428 (Accessed: 16 December 2022).
Kryshak, N.F. et al. (2022) ‘DNA metabarcoding reveals the threat of rapidly expanding barred owl populations to native wildlife in western North America’, Biological Conservation, 273, p. 109678. Available at: https://doi.org/10.1016/j.biocon.2022.109678.
Landrø, M. et al. (2022) ‘Sensing whales, storms, ships and earthquakes using an Arctic fibre optic cable’, Scientific Reports, 12(1), p. 19226. Available at: https://doi.org/10.1038/s41598-022-23606-x.
Miller, B.S. et al. (2022) ‘Deep learning algorithm outperforms experienced human observer at detection of blue whale D-calls: a double-observer analysis’, Remote Sensing in Ecology and Conservation, n/a(n/a). Available at: https://doi.org/10.1002/rse2.297.
Palmer, K.J. et al. (2022) ‘Accounting for the Lombard effect in estimating the probability of detection in passive acoustic surveys: Applications for single sensor mitigation and monitoring’, The Journal of the Acoustical Society of America, 151(1), pp. 67–79. Available at: https://doi.org/10.1121/10.0009168.
Palmer, C.M. et al. (2022) ‘Patterns of Herbivory in Neotropical Forest Katydids as Revealed by DNA Barcoding of Digestive Tract Contents’, Diversity, 14(2), p. 152. Available at: https://doi.org/10.3390/d14020152.
Parsons, M.J.G. et al. (2022) ‘Sounding the Call for a Global Library of Underwater Biological Sounds’, Frontiers in Ecology and Evolution, 10. Available at: https://www.frontiersin.org/article/10.3389/fevo.2022.810156 (Accessed: 8 February 2022).
Popper, A.N. et al. (2022) ‘Offshore wind energy development: Research priorities for sound and vibration effects on fishes and aquatic invertebrates: The Journal of the Acoustical Society of America: Vol 151, No 1’, Journal of the Acoustic Society of America, 151(205). Available at: https://doi.org/10.1121/10.0009237.
Regier, P. et al. (2022) ‘Effects of random forest modeling decisions on biogeochemical time series predictions’, Limnology and Oceanography: Methods, n/a(n/a). Available at: https://doi.org/10.1002/lom3.10523.
Reid, D.S. et al. (2022) ‘Breeding status shapes territoriality and vocalization patterns in spotted owls’, Journal of Avian Biology, 8(e02952). Available at: https://doi.org/10.1111/jav.02952.
Rice, A.N. et al. (2022) ‘Evolutionary Patterns in Sound Production across Fishes’, Ichthyology & Herpetology, 110(1), pp. 1–12. Available at: https://doi.org/10.1643/i2020172.
Rojas-Bracho, L. et al. (2022) ‘More vaquita porpoises survive than expected’, Endangered Species Research, 48, pp. 225–234. Available at: https://doi.org/10.3354/esr01197.
Shabangu, F.W. et al. (2022) ‘Acoustic detectability of whales amidst underwater noise off the west coast of South Africa’, Marine Pollution Bulletin, 184, p. 114122. Available at: https://doi.org/10.1016/j.marpolbul.2022.114122.
Swider, C.R. et al. (2022) ‘Passive acoustic monitoring reveals behavioural response of African forest elephants to gunfire events’, African Journal of Ecology, n/a(n/a). Available at: https://doi.org/10.1111/aje.13070.
Symes, L.B. et al. (2022) ‘Analytical approaches for evaluating passive acoustic monitoring data: A case study of avian vocalizations’, Ecology and Evolution, 12(4), p. e8797. Available at: https://doi.org/10.1002/ece3.8797.
Symes, L.B. et al. (2022) ‘Estimation of katydid calling activity from soundscape recordings’, Journal of Orthoptera Research, 31(2), pp. 173–180. Available at: https://doi.org/10.3897/jor.31.73373.
Tolkova, I. and Klinck, H. (2022) ‘Source separation with an acoustic vector sensor for terrestrial bioacoustics’, The Journal of the Acoustical Society of America, 152(2), pp. 1123–1134. Available at: https://doi.org/10.1121/10.0013505.
Tuia, D. et al. (2022) ‘Perspectives in machine learning for wildlife conservation’, Nature Communications, 13(1), p. 792. Available at: https://doi.org/10.1038/s41467-022-27980-y.
Wood, C.M. and Peery, M.Z. (2022) ‘What does “occupancy” mean in passive acoustic surveys?’, Ibis, 164(4), pp. 1295–1300. Available at: https://doi.org/10.1111/ibi.13092.
Wood, C.M. et al. (2022) ‘The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation’, PLOS Biology, 20(6), p. e3001670. Available at: https://doi.org/10.1371/journal.pbio.3001670.

2021

Backhouse, F. et al. (2021) ‘Differential geographic patterns in song components of male Albert’s lyrebirds.’, Ecology and Evolution [Preprint]. Available at: https://doi.org/10.1002/ece3.7225.
Bailey, H. et al. (2021) ‘Identifying and predicting occurrence and abundance of a vocal animal species based on individually specific calls’, Ecosphere, 12(8), p. e03685. Available at: https://doi.org/10.1002/ecs2.3685.
Barlow, D.R. et al. (2021) ‘Temporal and spatial lags between wind, coastal upwelling, and blue whale occurrence’, Scientific Reports, 11(6915). Available at: https://doi.org/doi.org/10.1038/s41598-021-86403-y.
Barratt, C.D. et al. (2021) ‘Quantitative estimates of glacial refugia for chimpanzees (Pan troglodytes) since the Last Interglacial (120,000 BP)’, American Journal of Primatology, 83(10), p. e23320. Available at: https://doi.org/10.1002/ajp.23320.
Clink, D.J. et al. (2021) ‘Limited evidence for individual signatures or site-level patterns of variation in male Northern gray gibbon (Hylobates funereus) duet codas’, International Journal of Primatology [Preprint]. Available at: https://doi.org/https://doi.org/10.1007/s10764-021-00250-2.
Clink, D.J. et al. (2021) ‘Moderate evidence for heritability in the duet contributions of a South American primate’, Journal of Evolutionary Biology, n/a(n/a). Available at: https://doi.org/10.1111/jeb.13962.
Clink, D. et al. (2021) ‘Not by the light of the moon: Investigating circadian rhythms and environmental predictors of calling in Bornean great argus’, PLoS ONE, 16(2), p. e0246564. Available at: https://doi.org/https://doi.org/10.1371/journal.pone.0246564.
Cusack, C. et al. (2021) ‘Marine ecotourism for small pelagics as a source of alternative income generating activities to fisheries in a tropical community’, Biological Conservation, 261, p. 109242. Available at: https://doi.org/10.1016/j.biocon.2021.109242.
DeGregorio, B.A., Wolff, P.J. and Rice, A.N. (2021) ‘Evaluating hydrophones for detecting underwater-calling frogs: implications for monitoring imperiled species’, Herpetological Conservation and Biology, 16(3), pp. 513–524.
Duporge, I. et al. (2021) ‘Determination of optimal flight altitude to minimise acoustic drone disturbance to wildlife using species audiograms’, Methods in Ecology and Evolution, n/a(n/a). Available at: https://doi.org/10.1111/2041-210X.13691.
Epp, M.V. et al. (2021) ‘Allopatric humpback whales of differing generations share call types between foraging and wintering grounds’, Scientific Reports, 11(16297).
Epp, M.V., Fournet, M.E.H. and Davoren, G.K. (2021) ‘Humpback whale call repertoire on a northeastern Newfoundland foraging ground’, Marine Mammal Science, n/a(n/a). Available at: https://doi.org/10.1111/mms.12859.
Fournet, M.E.H. et al. (2021) ‘Limited vocal compensation for elevated ambient noise in bearded seals: implications for an industrializing Arctic Ocean’, Proceedings of the Royal Society B, 288(1945). Available at: https://doi.org/10.1098/rspb.2020.2712.
Gabriele, C.M., Ponirakis, D.W. and Klinck, H. (2021) ‘Underwater Sound Levels in Glacier Bay During Reduced Vessel Traffic Due to the COVID-19 Pandemic’, Frontiers in Marine Science, 8. Available at: https://doi.org/10.3389/fmars.2021.674787.
Goldenberg, S.Z. et al. (2021) ‘Entry and aggregation at a Central African bai reveal social patterns in the elusive forest elephant Loxodonta cyclotis’, Animal Behaviour, 171, pp. 77–85. Available at: https://doi.org/10.1016/j.anbehav.2020.11.008.
Hofstadter, D.F. et al. (2021) ‘High rates of anticoagulant rodenticide exposure in California Barred Owls are associated with the wildland–urban interface’, Ornithological Applications [Preprint], (duab036). Available at: https://doi.org/10.1093/ornithapp/duab036.
Horn, K.M. et al. (2021) ‘Effects of Intertidal Position on Metabolism and Behavior in the Acorn Barnacle, Balanus glandula’, Integrative Organismal Biology, 3(1). Available at: https://doi.org/10.1093/iob/obab010.
Injaian, A.S., Lane, E.D. and Klinck, H. (2021) ‘Aircraft events correspond with vocal behavior in a passerine’, Scientific Reports [Preprint]. Available at: https://doi.org/10.1038/s41598-020-80380-4.
Kahl, S. et al. (2021) ‘BirdNET: A deep learning solution for avian diversity monitoring’, Ecological Informatics [Preprint]. Available at: https://doi.org/10.1016/j.ecoinf.2021.101236.
Kahl, S. et al. (2021) ‘Overview of BirdCLEF 2021: Bird call identification in soundscape recordings’, CLEF 2021 [Preprint].
Kavanagh, E. et al. (2021) ‘Dominance style is a key predictor of vocal use and evolution across nonhuman primates’, Royal Society Open Science, 8(7), p. 210873. Available at: https://doi.org/10.1098/rsos.210873.
Kendall-Bar, J. et al. (2021) ‘Visualizing Life in the Deep: A Creative Pipeline for Data-Driven Animations to Facilitate Marine Mammal Research, Outreach, and Conservation’, IEEE, VISAP.
Lester, J.D. et al. (2021) ‘Recent genetic connectivity and clinal variation in chimpanzees’, Communications Biology, 4(1), pp. 1–11. Available at: https://doi.org/10.1038/s42003-021-01806-x.
Lobel, P.S. et al. (2021) ‘Sonic Cichlids’, in M.E. Abate and D.L.G. Noakes (eds) The Behavior, Ecology and Evolution of Cichlid Fishes. Dordrecht: Springer Netherlands (Fish & Fisheries Series), pp. 443–502. Available at: https://doi.org/10.1007/978-94-024-2080-7_13.
Madhusudhana, S. et al. (2021) ‘Improve automatic detection of animal call sequences with temporal context’, Journal of The Royal Society Interface, 18(180), p. 20210297. Available at: https://doi.org/10.1098/rsif.2021.0297.
Martin, S.B. et al. (2021) ‘Hybrid millidecade spectra: A practical format for exchange of long-term ambient sound data’, JASA Express Letters, 1(1).
Miksis-Olds, J.L. et al. (2021) ‘Ocean Sound Analysis Software for Making Ambient Noise Trends Accessible (MANTA)’, Frontiers in Marine Science, 8, p. 1144. Available at: https://doi.org/10.3389/fmars.2021.703650.
Mirin, B.H. and Klinck, H. (2021) ‘Bird singing contests: Looking back on thirty years of research on a global conservation concern’, Global Ecology and Conservation, 30, p. e01812. Available at: https://doi.org/10.1016/j.gecco.2021.e01812.
Odom, K.J. et al. (2021) ‘Comparative bioacoustics: a roadmap for quantifying and comparing animal sounds across diverse taxa’, Biological Reviews [Preprint]. Available at: https://doi.org/10.1111/brv.12695.
Pyć, C.D. et al. (2021) ‘Vocal behavior of the endangered splendid toadfish and potential masking by anthropogenic noise’, Conservation Science and Practice [Preprint]. Available at: https://doi.org/10.1111/csp2.352.
Reid, D.S. et al. (2021) ‘Noisy neighbors and reticent residents: Distinguishing resident from non-resident individuals to improve passive acoustic monitoring’, Global Ecology and Conservation, 28, p. e01710. Available at: https://doi.org/10.1016/j.gecco.2021.e01710.
Symes, L.B. et al. (2021) ‘Daily Signaling Rate and the Duration of Sound per Signal are Negatively Related in Neotropical Forest Katydids’, Integrative and Comparative Biology [Preprint], (icab138). Available at: https://doi.org/10.1093/icb/icab138.
Vega-Hidalgo, Á. et al. (2021) ‘Acoustic assessment of experimental reforestation in a Costa Rican rainforest’, Ecological Indicators, 133, p. 108413. Available at: https://doi.org/10.1016/j.ecolind.2021.108413.
Wood, C.M. (2021) ‘Optimizing landscape-scale monitoring programmes to detect the effects of megafires’, Diversity and Distributions, n/a(n/a). Available at: https://doi.org/10.1111/ddi.13308.
Wood, C.M. et al. (2021) ‘Illuminating the Nocturnal Habits of Owls with Emerging Tagging Technologies’, Wildlife Society Bulletin [Preprint]. Available at: https://doi.org/10.1002/wsb.1156.
Wood, C.M. et al. (2021) ‘Survey coverage, recording duration and community composition affect observed species richness in passive acoustic surveys’, Methods in Ecology and Evolution [Preprint]. Available at: https://doi.org/10.1111/2041-210X.13571.
Wood, C.M. et al. (2021) ‘Density dependence influences competition and hybridization at an invasion front’, Diversity and Distributions, 27(5), pp. 901–912.

2020

Andres, K.J. et al. (2020) ‘Seasonal habitat use indicates that depth may mediate the potential for invasive round goby impacts in inland lakes’, Freshwater Biology, 11. Available at: https://doi.org/10.1111/fwb.13502.
Bouffaut, L. et al. (2020) ‘A performance comparison of tonal detectors for low-frequency vocalizations of Antarctic blue whales’, The Journal of the Acoustical Society of America, 147(260). Available at: https://doi.org/10.1121/10.0000609.
Brady, B. et al. (2020) ‘Classification of Florida manatee (Trichechus manatus latirostris) vocalizations’, The Journal of the Acoustical Society of America, 147(1597). Available at: https://doi.org/doi.org/10.1121/10.0000849.
Caiger, P.E. et al. (2020) ‘A decade of monitoring Atlantic cod Gadus morhua spawning aggregations in Massachusetts Bay using passive acoustics’, Merine Ecology Progress Series, 635, pp. 89–103. Available at: https://doi.org/https://doi.org/10.3354/meps13219.
Clink, D.J. and Klinck, H. (2020) ‘Unsupervised acoustic classification of individual gibbon females and the implications for passive acoustic monitoring’, Methods in Ecology and Evolution [Preprint]. Available at: https://doi.org/10.1111/2041-210X.13520.
Clink, D.J. and Lau, A.R. (2020) ‘Adherence to Menzerath’s Law is the exception (not the rule) in three duetting primate species’, Royal Society Open Science, 7(11). Available at: https://doi.org/10.1098/rsos.201557.
Clink, D.J., Hamid Ahmad, A. and Klinck, H. (2020) ‘Brevity is not a universal in animal communication: evidence for compression depends on the unit of analysis in small ape vocalizations’, Royal Society Open Science, 7(4). Available at: https://doi.org/10.1098/rsos.200151.
Clink, D.J., Hamid Ahmad, A. and Klinck, H. (2020) ‘Gibbons aren’t singing in the rain: presence and amount of rainfall influences ape calling behavior in Sabah, Malaysia’, Scientific Reports, 10(1282). Available at: https://doi.org/10.1038/s41598-020-57976-x.
Clink, D.J., Tasirin, J.S. and Klinck, H. (2020) ‘Vocal individuality and rhythm in male and female duet contributions of a nonhuman primate’, Current Zoology, 66(2), pp. 173–186. Available at: https://doi.org/10.1093/cz/zoz035.
Davis, G.E. et al. (2020) ‘Exploring movement patterns and changing distributions of baleen whales in the western North Atlantic using a decade of passive acoustic data’, Global Change Biology, n/a(n/a). Available at: https://doi.org/10.1111/gcb.15191.
Dziak, R. et al. (2020) ‘Deep Ocean Passive Acoustic Technologies for Exploration of Ocean and Surface Sea Worlds in the Outer Solar System’, Oceanography [Preprint]. Available at: https://doi.org/10.5670/oceanog.2020.221.
Erb, W.M. and Porter, L.M. (2020) ‘Variable infant care contributions in cooperatively breeding groups of wild saddleback tamarins’, American Journal of Primatology [Preprint]. Available at: https://doi.org/10.1002/ajp.23190.
Fandel, A.D. et al. (2020) ‘Effects of intense storm events on dolphin movements and foraging behavior’, Science Reports, 10(19247).
Fregosi, S. et al. (2020) ‘Comparison of fin whale 20 Hz call detections by deep-water mobile autonomous and stationary recorders’, The Journal of the Acoustical Society of America, 147(2), pp. 961–977. Available at: https://doi.org/10.1121/10.0000617.
Fregosi, S. et al. (2020) ‘Detections of Whale Vocalizations by Simultaneously Deployed Bottom-Moored and Deep-Water Mobile Autonomous Hydrophones’, Frontiers in Marine Science, 7(721). Available at: https://doi.org/10.3389/fmars.2020.00721.
Kalan, A.K. et al. (2020) ‘Environmental variability supports chimpanzee behavioural diversity’, Nature Communications, 11(1), p. 4451. Available at: https://doi.org/10.1038/s41467-020-18176-3.
Klinck, H. et al. (2020) ‘The Rockhopper: a compact and extensible marine autonomous passive acoustic recording system’, Global Oceans 2020: Singapore – U.S. Gulf Coast, pp. 1–7. Available at: https://doi.org/10.1109/IEEECONF38699.2020.9388970.
Lau, A.R., Clink, D.J. and Bales, K.L. (2020) ‘Individuality in the vocalizations of infant and adult coppery titi monkeys (Plecturocebus cupreus)’, American Journal of Primatology [Preprint]. Available at: https://doi.org/10.1002/ajp.23134.
Madhusudhana, S., Murray, A. and Erbe, C. (2020) ‘Automatic detectors for low-frequency vocalizations of Omura’s whales, Balaenoptera omurai: A performance comparison’, The Journal of the Acoustical Society of America, 147(5), p. 3078. Available at: https://doi.org/10.1121/10.0001108.
Matthews, L.P. et al. (2020) ‘Acoustically advertising male harbour seals in southeast Alaska do not make biologically relevant acoustic adjustments in the presence of vessel noise’, Biology Letters, 16(4). Available at: https://doi.org/10.1098/rsbl.2019.0795.
Morano, J.L. et al. (2020) ‘Seasonal movements of Gulf of Mexico sperm whales following the Deepwater Horizon oil spill and the limitations of impact assessments’, Marine Pollution Bulletin, 161(Part A). Available at: https://doi.org/10.1016/j.marpolbul.2020.111627.
Muñoz, V.E. et al. (2020) ‘Gone with the wind: Signal timing in a Neotropical katydid as an adaptive response to variation in wind-induced vibratory noise’, Behavioral Ecology and Sociobiology, 74(59). Available at: https://doi.org/10.1007/s00265-020-02842-z.
Naumenko, D.J. et al. (2020) ‘Evaluating Ketosis in Primate Field Studies: Validation of Urine Test Strips in Wild Bornean Orangutans (Pongo pygmaeus wurmbii)’, Folia Primatologica, 91, pp. 159–167. Available at: https://doi.org/doi.org/10.1159/000501933.
Nieukirk, S. et al. (2020) ‘Multi-year occurrence of sei whale calls in North Atlantic polar waters’, The Journal of the Acoustical Society of America, 147(1842). Available at: https://doi.org/doi.org/10.1121/10.0000931.
Sethi, S.S. et al. (2020) ‘Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set’, PNAS [Preprint]. Available at: https://doi.org/10.1073/pnas.2004702117.
Shabangu, F.W. and Charif, R.A. (2020) ‘Short moan call reveals seasonal occurrence and diel-calling pattern of crabeater seals in the Weddell Sea, Antarctica’, Bioacoustics [Preprint].
Shiu, Y. et al. (2020) ‘Deep neural networks for automated detection of marine mammal species’, Scientific Report, 10(607). Available at: https://doi.org/10.1038/s41598-020-57549-y.
Symes, L.B. et al. (2020) ‘Sheep in wolves’ clothing: prey rely on proactive defences when predator and non-predator cues are similar’, Proceedings of the Royal Society B, 287. Available at: https://doi.org/10.1098/rspb.2020.1212.
ter Hofstede, H.M. et al. (2020) ‘Calling songs of katydids (Orthoptera: Tettigoniidae) from Panama’, Journal of Orthopteran Research. [Preprint].
Watson, S.K. et al. (2020) ‘An exploration of Menzerath’s law in wild mountain gorilla vocal sequences.’, Biology Letters, 1620200380. Available at: https://doi.org/10.1098/rsbl.2020.0380.
Whitt, C. et al. (2020) ‘Future Vision for Autonomous Ocean Observations’, Frontiers In Marine Science, 7(697). Available at: https://doi.org/10.3389/fmars.2020.00697.
Williams, R. et al. (2020) ‘Chronic ocean noise and cetacean population models’, Journal of Cetacean Research and Management, 21, pp. 85–94.
Wood, C.M. et al. (2020) ‘Using the ecological significance of animal vocalizations to improve inference in acoustic monitoring programs’, Conservation Biology [Preprint]. Available at: https://doi.org/10.1111/cobi.13516.
Zeh, J.M. et al. (2020) ‘Detections of humpback whale (Megaptera novaeangliae) vocalizations on an acoustic sensor in the New York Bight’, Marine Mammal Science [Preprint]. Available at: https://doi.org/10.1111/mms.12775.