Source Levels of 20 Hz Fin Whale Notes Measured as Sound Pressure and Particle Velocity from Ocean-Bottom Seismometers in the North Atlantic

• Published in: Journal of Marine Science and Engineering
• Main Authors: Andreia Pereira, Miriam Romagosa, Carlos Corela, Mónica A. Silva, Luis Matias
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2021
• Subjects: geophysical instruments; bioacoustics of marine mammals; underwater acoustic propagation; animal communication; Naval architecture. Shipbuilding. Marine engineering; VM1-989; Oceanography; GC1-1581; Fin whale; North Atlantic
• Online Access: https://doi.org/10.3390/jmse9060646; https://doaj.org/article/2882d2b04bdd4d2890e32fe23a97d6d1

Source level is one factor that determines the effectiveness of animal signal transmissions and their acoustic communication active space. Ocean-bottom seismometers (OBS) are platforms of opportunity to monitor marine species because they record data as pressure fluctuations in the water using a hydrophone and/or as particle velocity of the seabed using a seismometer. This study estimates source levels of 20 Hz fin whale notes recorded simultaneously in these two OBS channels and in two areas of the North Atlantic (Azores and southwest Portugal). It also discusses factors contributing to the variability of the estimates, namely geographical (deployment areas), instrumental (recording channels and sample size), and temporal factors (month of detected notes, inter-note interval, and diving duration). The average source level was 196.9 dB re 1 µPa m for the seismometer (derived from particle velocity measurements) and 186.7 dB re 1 µPa m for the hydrophone. Variability was associated with sample size, instrumental characteristics, acoustic propagation, and month of recordings. Source level estimates were very consistent throughout sequences, and there was no indication of geographical differences. Understanding what causes variation in animal sound source levels provides insights into the function of sounds and helps to assess the potential effects of increasing anthropogenic noise.