Spatial-temporal changes of marine biodiversity are crucial for the conservation management of marine ecosystems. Until now, long-term monitoring of marine biodiversity remains challenging due to the difficulties of surveying in underwater environments. In Marine Ecoacoustics and Informatics Lab, we develop remote sensing techniques of marine biodiversity and investigate biodiversity changes in response to various natural and anthropogenic stressors. For example, we developed techniques of soundscape information retrieval to separate biological, environmental, and anthropogenic sounds, and applied the results in assessing ecosystem dynamics. We also lead the “Ocean Biodiversity Listening Project” to establish a soundscape monitoring network that covers intertidal zones, estuaries, coral reefs, seagrass beds, continental shelves, hydrothermal vents. By transforming underwater sounds into indicators of habitat quality, biodiversity, and anthropogenic interference, the outcomes will allow managers and stakeholders to efficiently monitor the trends of marine ecosystems and perform data-driven decision making in conservation management.
Ecoacoustics, Marine Ecology, Community Ecology, Ecological informatics
- Monitoring of marine biodiversity via remote sensing (e.g., underwater acoustics)
- Investigating the mutual impacts among underwater soundscape, marine ecosystem, and society
- How does marine biodiversity respond to environmental change and human activities?
- Chong Chen, Tzu-Hao Lin*, Hiromi Kayama Watanabe, Tomonari Akamatsu, Shinsuke Kawagucci, accepted, “Baseline soundscapes of deep-sea habitats reveal heterogeneity among ecosystems and sensitivity to anthropogenic impacts”, Limnology and Oceanography. (SCIE) (IF: 3.778; SCI ranking: 13.6%,9%)
- Joseph Heard, Wei-chen Tung, Yu-de Pei, Tzu-Hao Lin, Chien-Hsiang Lin, Tomonari Akamatsu, Colin KC Wen*, 2021, “Coastal development threatens area supporting greatest fish diversity at Taoyuan Algal Reef, NW Taiwan”, AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS, 3, 590-604. (SCIE) (IF: 2.572; SCI ranking: 17.8%,45.7%,31.9%)
- Tzu‐Hao Lin*, Tomonari Akamatsu, Yu Tsao, 2021, “Sensing ecosystem dynamics via audio source separation: A case study of marine soundscapes off northeastern Taiwan”, PLOS COMPUTATIONAL BIOLOGY, 17(2), e1008698. (SCIE) (IF: 4.7; SCI ranking: 11.7%,10.2%)
- Tzu-Hao Lin*, Tomonari Akamatsu*, Frederic Sinniger, Saki Harii, 2021, “Exploring coral reef biodiversity via underwater soundscapes”, BIOLOGICAL CONSERVATION, 253, 108901. (SCIE) (IF: 4.711; SCI ranking: 10.3%,12.4%,18.5%)
- Tzu‐Hao Lin*, Yu Tsao, 2020, “Source separation in ecoacoustics: A roadmap towards versatile soundscape information retrieval”, Remote Sensing in Ecology and Conservation, 6(3), 236-247. (SCIE, Scopus) (IF: 5; SCI ranking: 20%,11.8%)
- T. Aran Mooney*, Lucia Di Iorio, Marc Lammers, Tzu-Hao Lin, Sophie Nedelec, Miles Parsons, Craig Radford, Ed Urban, Jenni Stanley, 2020, “Listening forward: Approaching marine biodiversity assessments using acoustic methods”, ROYAL SOCIETY OPEN SCIENCE, 7, 201287. (SCIE) (IF: 2.646; SCI ranking: 39.4%)
- Kun-Hsi Tsai, Wei-Chien Wang, Chui-Hsuan Cheng, Chan-Yen Tsai, Jou-Kou Wang, Tzu-Hao Lin, Shih-Hau Fang, Li-Chin Chen, Tsao Yu*, 2020, “Blind monaural source separation on heart and lung sounds based on periodic-coded deep autoencoder”, IEEE Journal of Biomedical and Health Informatics, 24(11), 3203-3214. (SCIE) (IF: 5.223; SCI ranking: 11%,8.5%,3.7%,9.6%)
- 赤松友成、Tzu-Hao Lin、波利井佐紀、Frederic Sinniger, 2020, “サンゴ礁における鳴音を用いた生物分布観測とサウンドスケープの季節変化。”, 超音波 Techno, 32(1), 19-22.
- Tzu-Hao Lin*, Tomonari Akamatsu, Frederic Sinniger, Saki Harii, 2021, “Acoustic diversity and divergence among shallow-water and upper-mesophotic coral reefs”, paper presented at 14th international coral reef symposium, 線上會議: International Coral Reef Society, 2021-07-19 ~ 2021-07-23.
- Tzu-Hao Lin*, Chong Chen, Hiromi Kayama Watanabe, Shinsuke Kawagucci, Yung-Che Tseng, 2021, “Could listening underwater sounds reveal the dynamics of chemosynthetic ecosystems?”, paper presented at Japan Geoscience Union Meeting 2021, Online conference: Japan Geoscience Union, 2021-06-03 ~ 2021-06-06.
- Tzu-Hao Lin*, Yi-Jen Sun, Anita Weng, Tzu-Yan Hsu, Li Lin, Ching-Wei Wang, 2020, “Assessing diversity of animal vocalizations via unsupervised machine learning”, paper presented at The 7th Annual Meeting of the Society for Bioacoustics, Online Conference: The Society for Bioacoustics, 2020-12-04.
- Yi-Jen Sun, Tzu-Hao Lin*, 2020, “Soundscape Viewer: An integrated toolbox of audio source separation for soundscape-based ecosystem assessment”, paper presented at The 179th Meeting of the Acoustical Society of America, Online Conference: Acoustic Society of America, 2020-12-07 ~ 2020-12-11.
- Tzu-Hao Lin*, Chong Chen, Hiromi Kayama Watanabe, Shinsuke Kawagucci, Tetsuya Miwa, Hiroyuki Yamamoto, Shinji Tsuchida, Yoshihiro Fujiwara, 2020, “Characterizing habitat-specific soundscapes in deep-sea benthic ecosystems”, paper presented at eDSBS, Online meeting: Deep-Sea Biological Society, 2020-08-19 ~ 2020-08-21.