Next Article in Journal
An Improved NSGA-II Based on Multi-Task Optimization for Multi-UAV Maritime Search and Rescue under Severe Weather
Next Article in Special Issue
A Case Study-Based Analysis of Uncertainties on the Assessment of Impulsive Underwater Noise for the Marine Strategy Framework Directive
Previous Article in Journal
Research on MASS Collision Avoidance in Complex Waters Based on Deep Reinforcement Learning
Previous Article in Special Issue
Prediction of Shipping Noise in Range-Dependent Environments
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Acoustical Behavior of Delphinid Whistles in the Presence of an Underwater Explosion Event in the Mediterranean Coastal Waters of Spain

1
Instituto Español de Oceanografía (IEO), C.O. Murcia, C/ el Varadero 1, Lo Pagan, 30740 Murcia, Spain
2
Unidad Mixta de Investigación IEO (CSIC)-UPV, Tinglados Muelle Frutero, Grau de Gandia, 46370 Valencia, Spain
3
Institute of Telecommunications and Multimedia Applications (iTEAM), Universitat Politècnica de València (UPV), Camino de Vera S/N, 46022 Valencia, Spain
4
Instituto de Investigación para la Gestión Integrada de Zonas Costeras (IGIC), Universitat Politècnica de València (UPV), C/ Paranimf 1, Grau de Gandia, 46730 Valencia, Spain
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2023, 11(4), 780; https://doi.org/10.3390/jmse11040780
Submission received: 21 February 2023 / Revised: 28 March 2023 / Accepted: 31 March 2023 / Published: 4 April 2023

Abstract

:
Underwater noise is a significant pollutant produced by anthropogenic activities carried out in the sea. Several types of acoustic sources can potentially have adverse impacts on marine fauna, especially on cetaceans. The vocalization response of cetaceans to underwater noise varies depending on noise characteristics such as duration, bandwidth, and intensity, as well as the species being insonified. Some studies report changes in vocalization properties due to continuous noise, but there is a lack of knowledge regarding impulsive noise sources, especially those related to explosive events. It is known that underwater explosions represent a serious threat to marine fauna because it produces one of the highest sound pressure levels introduced by anthropogenic activities. In this communication, an opportunistic study related to changes in the dolphin vocalizations was performed by considering two scenarios (i.e., before and after a detonation event). The acoustic raw data were recorded by a passive acoustic device installed in a mooring line deployed in the Mediterranean coast of Spain. The objective of the experimental installation was to monitor the underwater sound pressure level in the framework of the development of the Marine Strategy Framework Directive (MSFD) in Spain. A detonation event of unknown origin was recorded during the monitoring period while Delphinids were vocalizing, allowing for the observation of their acoustic reaction to the explosion. The study considers the number of vocalizations, morphology of whistles, and spectral characteristics before and after the explosion. The results obtained indicate that the number of whistles, their complexity in terms of morphology, and spectral components vary due to the explosive event, showing significant differences that will be presented and discussed in this communication.
PACS:
43.30.+m; 43.60.−c; 43.30.Sf; 92.20.Ny

1. Introduction

Many types of human activities can lead to an increase in underwater sound pressure levels (SPLs) in the sea. An underwater explosion (UNDEX) is a human activity that poses a high risk to marine fauna living in the vicinity of the areas where detonation takes place. This is mainly due to the amount of energy released into the aquatic medium in a very short period of time. The SPL may exceed 250 dB re 1 μ Pa at 1 m [1,2], creating shock waves followed by a subsequent loading effect (known as the bulk effect) [3,4]. Marine fauna can be affected in different ways and severity depending on the distance from the source and the amount of energy released in the explosion. The effect of the explosions on fish has been studied and reported to point out that the presence of swim bladder plays an important role in terms of the vulnerability of fish species with respect to the distance from them to the explosive source [5]. Regarding marine mammals, explosions represent a significant threat to their life. The conditions caused by explosions depend on the amount of energy reaching the animal. Animals located close enough to the explosion can receive the impact of the shock wave in their membranes, soft tissues, and cavities filled with air, suffering blast traumas together with other conditions, such as brain damage or intestinal hemorrhaging, among others [6,7]. As the distance increases, the amount of energy traveling through the medium decreases, and other types of conditions can be produced in marine mammals, such as permanent or temporary shifts in hearing sensitivity [8,9], behavioral changes [2], and an increased probability of entanglement [10], to name a few. In recent years, several studies have investigated the effects of underwater noise on the vocalization characteristics of cetaceans and the behavioral changes of animals living in noisy areas [11,12,13]. Some publications have focused on the continuous noise generated by ship traffic and its potential impact on the acoustic behavior of odontocetes. Some authors have reported variations in the vocalization characteristics of Bottlenose dolphins, such as start frequency, end frequency, minimum frequency, maximum frequency, duration, or the number of inflection points, in response to the presence of vessels near the studied groups [14,15]. The scientific literature highlights the importance of also considering the morphology of vocalizations, with studies reporting a simplification in the whistles of Bottlenose dolphins due to the increasing SPL of underwater noise, mainly caused by ship traffic [16]. However, there is limited information available regarding the effects of impulsive sound sources, such as explosive events, on the acoustic behavior of cetaceans. Lammers et al. [17] studied the potential impacts of naval mine neutralization exercises on Delphinids through the implementation of a long-term passive acoustic monitoring campaign.
This communication presents results related to the whistle activity of Delphinids when an UNDEX event occurs, considering the distance between animals and the location of the explosive source, and inferring possible patterns in their vocalization rate. However, aspects related to the morphology of whistle vocalizations, their spectral components, and duration remain unknown with respect to the impact of the UNDEX event on them. Specifically, whistle vocalizations in the 20 minutes before and after the detonation were analyzed using a passive acoustic recorder installed on a mooring line, as part of the Marine Strategy Framework Directive (MSFD) (https://www.miteco.gob.es/es/costas/temas/proteccion-medio-marino/estrategias-marinas/default.aspx, accessed on 16 February 2023) implementation in Spain (details in funding section), related to the monitoring of underwater noise in the Spanish Mediterranean marine demarcation. An UNDEX event was recorded opportunistically during the monitoring period, with the acoustical presence of Delphinid whistles observed at the same time as the explosion. A bioacoustic analysis of the recorded signals was performed considering both scenarios: before and after the detonation occurred. Each detected whistle was manually segmented by an acoustic operator to deduce the number of vocalizations, their spectral characteristics, morphology, and duration in both situations. The details of the site, data acquisition system used, and acoustic analysis developed will be provided in the Section 2. The variations in the acoustic behavior of vocalizations will be shown and discussed in Section 3 and Section 4, respectively.
This study contributes to a better understanding of how these animals vary their bioacoustic activity in the presence of a specific underwater explosion event, focusing on the 20 min before and after the detonation. It is well-known that understanding the effects of underwater noise on endangered species is necessary to comprehend the potential impact of human activities and to implement measures that protect the species and their habitats.

2. Materials and Methods

2.1. Study Site

A mooring line with an autonomous passive acoustic recorder was deployed within the Gulf of Vera (see Figure 1). The bathymetry of this area presents an irregular slope with escarpments [18]. The structural features contain a rich variety of sediments along the elongated highs with different trends, which favor large-scale mass transport. This area has a large presence of cetaceans, including Stenella coeruleoalba (striped dolphin), Delphinus delphis (common dolphin) [19], Globicephala melas (long-finned pilot whale) [20], Grampus griseus (Risso’s dolphin), Tursiops truncatus (Bottlenose dolphin), etc. For this reason, the Gulf of Vera contains the Special Area of Conservation of “Valles submarinos del Escarpe de Mazarrón” (SiteCode: ES6200048) included in the (Natura2000 protected areas, https://natura2000.eea.europa.eu/Natura2000/SDF.aspx?site=ES6200048, accessed on 16 February 2023). It is important to note that some of the marine mammals mentioned earlier, such as the Bottlenose dolphin, are listed in the national red list or the Habitat Directive (Species Annex IV, V).

2.2. Data Acquisition

Acoustic data were collected from October 28 to November 15 of 2020. Recordings were made with a passive acoustic recording device named SAMARUC (http://samaruc.webs.upv.es, accessed on 15 February 2023) [21,22]. The passive acoustic monitoring (PAM) device used in this study was equipped with a Cetacean Research C57 hydrophone with a sensitivity of 167 dB re 1 V/ μ Pa and a flat frequency response of ±0.3 dB between approximately 10 Hz and 96 kHz. The acquisition was set to record using a sampling rate of 192 kHz at 16 bits, with an amplification of 12 dB. The duty cycle was set to 50 min on, followed by 5 min off. The technical characteristics of the acoustic recording configuration are summarized in Table 1.
The PAM system was deployed at a depth of 504 m in the location shown in Figure 1. The deployment followed a typical mooring line procedure (see Figure 2). The experimental setup consisted of several parts, including an anchor, an acoustic release for retrieving the PAM system to the surface, and a buoy installed in conjunction with the PAM device. The constituent elements of the mooring line were linked by a rope that implemented proper dimensions between them. It is worth noting that the distance between the hydrophone and the seabed was sufficient to distinguish between reflections produced in the seabed and the direct signal arrival.

2.3. Detonation Event and Bioacoustic Analysis

Through an analysis of the acoustic data recorded during the deployment period, a detonation event was opportunistically detected. The temporal and spectral characteristics of the explosion can be observed in Figure 3.
After consulting with the competent authorities regarding the origin of the detected detonation, we were informed that an underwater explosion (UNDEX) event occurred about 1 mile from the deployment site. The recorded signal characteristics were consistent with the phenomena described in [3]. Due to the high SPL reaching the PAM recorder, the acoustic data were clipped; thus, a peak SPL greater than 150 dB ref 1 μ Pa occurred at the mooring line location. It can be inferred that the source level of the UNDEX event exceeded 200 dB ref 1 μ Pa.
It was observed that at the time of the explosion, there was an increase in the bioacoustic activity of Delphinids in the form of whistle vocalizations. This presented an opportunity to study their acoustic behavior in the presence of an UNDEX event. The proposed analysis focuses on three aspects differentiated in relation to whistle vocalizations: rate, temporal/spectral characteristics, and morphology, considering scenarios before and after the explosion. The acoustic data analyzed included a 20-minute period before and after the detonation to observe the acoustic reaction of Delphinids inhabiting the insonified area.
More than 1000 whistles were detected manually by an experienced bioacoustic operator. Once detected, the temporal and spectral whistling features were obtained. The duration of whistles, as well as the maximum, minimum, start, end, and central frequencies, were inferred from the segmented regions of the time versus frequency domain.
With the aim of studying not only the spectral and temporal features associated with both defined situations, but also the possible changes in the acoustic behavior of the Delphinid whistles, a categorization based on the morphology related to its complexity was used, considering the number of inflection points. Figure 4 shows the considered groups, encoding the vocalizations with a number followed by the typology Up (U) or Down (D), depending on the starting frequency slope.
The analysis consisted of several steps, which can be summarized by the scheme shown in Figure 5. The acoustic raw data were analyzed using Matlab software to obtain and inspect the associated spectrogram. A quality cut was applied to the detected whistles, neglecting harmonics or events with less than 0.2 s of duration. The dolphin vocalizations were classified based on their morphology for both scenarios. An example of a time window containing whistle events is depicted in Figure 6.
Finally, following the work of other authors [23], we extracted features related to the temporal and frequency contours of the whistle, such as duration, minimum–maximum frequencies, start–end frequencies, and central frequency. To confirm the existence of variations in the characteristics of the vocalizations after the UNDEX, a statistical analysis was carried out on these features. The Kolmogorov–Smirnov test has been used in other studies to test the normality of the acoustic features extracted from bioacoustic signals [24]. In our case, as the data were not normally distributed, the non-parametric Kruskal–Wallis test (at a significance level of α = 0.05) was used to examine whether any of the features presented statistically significant differences between both scenarios, before and after detonation.

3. Results

In this section, we present the results obtained from the analysis. They are divided into two sections. The first section is related to the observed changes in acoustic behavior in terms of the whistling rate and morphology. The second section applies the Kruskal–Wallis test to the duration and spectral characteristics to study potential significant differences between the pre and post-detonation scenarios.

3.1. Acoustic Behavioral Changes of Delphinid Whistles in the Presence of Underwater Explosion Event

As mentioned earlier, the acoustic raw data analysis defines the detonation event as a boundary between two scenarios. Figure 7 shows the quantification of the acoustic activity in terms of the whistle rate in the pre- and post-detonation situations.
The bioacoustic activity is defined as the number of whistles detected in a time window of 1:50 min (110 s), calculated over 20 min before and after an explosion. After the UNDEX event, an immediate increase in vocalizations appears followed by a progressive decrease. This result is in agreement with observations carried out by other authors who reported that immediately after a detonation event occurred, the rate of whistles produced by Delphinids inhabiting the affected area increases significantly [17].
With respect to the results of the categorization of whistle morphology based on the slope and inflection points, Figure 8 presents the percentage of each type of whistle in both periods. It is important to note that the number of whistles detected after the UNDEX is almost 2.5 times greater than before the detonation. The most significant difference in morphology between the two scenarios is in Category 2 with an initial slope down. It is also worth mentioning that in both cases, the most common type of morphology is Category 0 with an initial slope down.
The number of whistles attending the previously introduced categories are summarized in Table 2. It is possible to observe that after the detonation event appears, the number of whistles that belong to categories with more inflection points are higher with respect to the pre-detonation scenario.
To further explore the results based on the morphological categorization of whistles and their complexity, Figure 9 displays the percentage of whistles in both scenarios, grouped according to their category as follows: Category 0 (Up and Down), Category 1 (Up and Down), Category 2 (Up and Down), and Categories 3, 4, and 5 (Up and Down in all of them). The figure shows that post-detonation whistles are more complex (accounting for almost 20% of whistles belong to Categories 2, 3, 4, and 5) than whistles existing before the explosion (approximately 5%).

3.2. Statistical Analysis of Acoustic Features in Pre- and Post-Underwater Explosion Event

With the aim of studying the existence of significant differences in the acoustic vocalization of Delphinids in the presence of an explosion, the spectral and temporal characteristics of whistles were analyzed. Specifically, the variables that were analyzed using the Kruskal–Wallis test were the maximum frequency, minimum frequency, start and end frequencies, central frequency (defined as the midpoint of the bandwidth), and duration of the emitted bandwidth.
Figure 10 depicts the statistical median values of each variable considered in the analysis together with the first and third quartiles and the outliers of the distributions.
The statistical analysis reveals significant differences among pre/post detonation scenarios for the spectral variables except for the maximum frequency. The Kruskal–Wallis test results are presented in Table 3.
A p-value < 0.05 was chosen as the significance level ( α ) cut-off to assess the existence of significant differences between both scenarios in the study of the acoustic vocalization of Delphinids in the presence of an explosion. No lower p-value was considered due to uncertainties related to animal behavior in the wild. The extraction of significant differences is assumed to take into account a specific scenario evaluated in a precise environmental/animal condition, and therefore, the results should be interpreted as tentative evidence that suggests changes in some of the variables extracted from the studied whistles. Nevertheless, given the variability in the experimental monitoring conditions, the authors believe that lower p-values do not necessarily ensure greater reliability in the obtained results.
Among the analyzed variables, the duration and minimum frequency of the whistles showed the strongest significant differences between before and after the explosion. This is clearly reflected in Figure 11 by the statistical distribution of both variables.
In order to verify that the results obtained are not influenced by the difference of pre- and post-detonation sample size, a Kruskal–Wallis test was performed considering 350 whistles of both scenarios. These whistles have been selected randomly from post detonation and the Kruskal–Wallis test was applied repeatedly 25 times inferring results collected in Table 4.
We should note that 100% of the Kruskal–Wallis tests show a p-value < 0.05 for minimum frequency, duration, and central frequency features. The tests also show that 80% and 84% of the samples demonstrate significant differences for start and end frequencies, respectively. Finally, the only variable that does not exhibit significant differences among both scenarios is the maximum frequency. These results are in agreement with the previous ones exhibited in Table 3 applying the Kruskal–Wallis test over the whole samples for pre- and post-detonation situations.

4. Discussion

The obtained results reveal that the acoustic behavior of Delphinid whistles exposed to a specific underwater explosive event varies in terms of whistling rate, spectral features (except for the maximum frequency), duration, and morphology. This study observed a significant increase in the rate of whistling emission after the detonation, during which dolphins emitted more complex whistles.
Maximum and start frequencies present less robust differences, as noted by applying subsampling on whistle events and repeating the test 25 times. Nevertheless, these features also reject the null hypothesis of the Kruskal–Wallis test. The major significant differences are noticed in features such as the duration of whistles (longer-lasting whistles were detected in the post-detonation scenario) and minimum and central frequencies.
It is important to note that obtaining this type of acoustic datum in the wild is difficult due to the challenge of having Delphinids and an UNDEX event occur simultaneously, along with an acoustic node recording the soundscape. This study also emphasizes the importance of implementing long-term acoustic monitoring campaigns in cetacean habitats to obtain valuable results regarding the influence and potential impact of human activities on their life and fitness.
The results obtained indicate that high levels of anthropogenic impulsive noise affect the life of Delphinids. In fact, a decrease in bioacoustic activity was observed some minutes after the explosion, suggesting that the animals could have left the area affected by the explosion at that particular time. The disturbance produced may cause behavioral changes that affect the use of the habitat, reducing the available area, or provoking the displacement of dolphin groups to other locations. The repetition of explosive events could be linked to the time during which the affected area is not available with optimal conditions. However, these kinds of studies require dedicated long-term monitoring techniques, particularly considering photo ID and visual campaigns, which are beyond the scope of this publication.
This study only considers the 20-minute period before and after an explosion occurs because only one explosive event was detected using one PAM device. Therefore, no studies about potential long-term behavioral changes in relation to groups of dolphins inhabiting the area are able to be performed.
Studies on changes in the acoustic characteristics of Delphinid whistles due to UNDEX events are not available in the literature. Therefore, it is not possible to make a definitive claim that changes in vocalization features, such as increasing duration or minimum frequency, reflect stress or suffering. However, it is worth noting that the observed changes could be used for comparison with possible future studies of behavioral alterations in Delphinids related to impulsive noise events, such as the one described in this work.

Author Contributions

Conceptualization, G.L., M.B.-C. and S.L.; methodology, G.L., M.B.-C. and S.L.; software, G.L., M.B.-C. and S.L.; validation, G.L., M.B.-C. and S.L.; formal analysis, G.L., M.B.-C. and S.L.; investigation, G.L., M.B.-C., S.L., R.M. and V.E.; data curation, G.L., M.B.-C. and S.L.; writing—original draft preparation, G.L., M.B.-C. and S.L.; writing—review and editing, G.L., M.B.-C., S.L., R.M. and V.E.; visualization, G.L., M.B.-C. and S.L.; supervision, M.B.-C., V.E. and R.M.; project administration, M.B.-C.; funding acquisition, M.B.-C., V.E. and R.M. All authors have read and agreed to the published version of the manuscript.

Funding

Underwater noise monitoring activities in Spain were done by the Spanish Institute of Oceanography in the framework of the Marine Strategy Framework Directive Spanish implementation, funded by the Ministerio para la transición ecológica y el reto demográfico (https://www.miteco.gob.es/es/costas/temas/proteccion-medio-marino/estrategias-marinas/default.aspx, accessed on 16 February 2023).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

We would like to thank all of the researchers from Universitat Politècnica de Valéncia (UPV) who participated in the deployment and recovery of the acoustic recording devices. The experimental work of the authors from UPV was partially funded by Autoridad Portuaria de Cartagena via the technological support contract: Evaluación de afecciones acústicas y a las poblaciones de cetáceos previsiblemente causadas por el efecto del desarrollo de la dársena de Escombreras del Puerto de Cartagena—30 March 2020 to 30 December 2020.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Richardson, W.J.; Greene, C.R., Jr.; Malme, C.I.; Thomson, D.H. Marine Mammals and Noise; Academic Press: San Diego, CA, USA, 2013. [Google Scholar]
  2. Finneran, J.J.; Schlundt, C.E.; Carder, D.A.; Clark, J.A.; Young, J.A.; Gaspin, J.B.; Ridgway, S.H. Auditory and behavioral responses of bottlenose dolphins (Tursiops truncatus) and a beluga whale (Delphinapterus leucas) to impulsive sounds resembling distant signatures of underwater explosions. J. Acoust. Soc. Am. 2000, 108, 417–431. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Costanzo, F.A. Underwater Explosion Phenomena and Shock Physics. In Structural Dynamics, Volume 3; Proulx, T., Ed.; Springer: New York, NY, USA, 2011; pp. 917–938. [Google Scholar]
  4. Miralles, R.; Lara, G.; Carrión, A.; Bou-Cabo, M. Assessment of Arrow-of-Time Metrics for the Characterization of Underwater Explosions. Sensors 2021, 21, 5952. [Google Scholar] [CrossRef] [PubMed]
  5. Continental Shelf Associates, Inc. Explosive Removal of Offshore Structures—Information Synthesis Report; OCS Study MMS; U.S. Department of the Interior, Minerals Management Service, Gulf of Mexico OCS Region: New Orleans, LA, USA, 2004. [Google Scholar]
  6. Keevin, T.M.; Hempen, G.L. The Environmental Effects of Underwater Explosions With Methods to Mitigate Impacts; U.S. Army Corps of Engineers: St. Louis, MO, USA, 1997. [Google Scholar]
  7. Ketten, D.R. Estimates of blast injury and acoustic trauma zones for marine mammals from underwater explosions. Sens. Syst. Aquat. Mamm. 1995, 391–407. [Google Scholar]
  8. Weilgart, L.S. A brief review of known effects of noise on marine mammals. Int. J. Comp. Psychol. 2008, 20, 159–168. [Google Scholar] [CrossRef]
  9. Kastelein, R.A.; Gransier, R.; Marijt, M.A.; Hoek, L. Hearing frequency thresholds of harbor porpoises (Phocoena phocoena) temporarily affected by played back offshore pile driving sounds. J. Acoust. Soc. Am. 2015, 137, 556–564. [Google Scholar] [CrossRef]
  10. Todd, S.; Lien, J.; Marques, F.; Stevick, P.; Ketten, D. Behavioural effects of exposure to underwater explosions in humpback whales (Megaptera novaeangliae). Can. J. Zool. 1996, 74, 1661–1672. [Google Scholar] [CrossRef] [Green Version]
  11. Richardson, W.J.; Würsig, B. Influences of man-made noise and other human actions on cetacean behaviour. Mar. Freshw. Behav. Physiol. 1997, 29, 183–209. [Google Scholar] [CrossRef]
  12. Würsig, B.; Evans, P.G.H. Cetaceans and Humans: Influences of Noise. Mar. Mamm. 2002, 565–587. [Google Scholar] [CrossRef]
  13. Guan, S.; Brookens, T. An overview of research efforts to understand the effects of underwater sound on cetaceans. Water Biol. Secur. 2023, 100141. [Google Scholar] [CrossRef]
  14. Luis, A.R.; Couchinho, M.N.; Santos, M.E.D. Changes in the acoustic behavior of resident bottlenose dolphins near operating vessels. Mar. Mammal Sci. 2014, 30, 1417–1426. [Google Scholar] [CrossRef]
  15. Heiler, J.; Elwen, S.H.; Kriesell, H.J.; Gridley, T. Changes in bottlenose dolphin whistle parameters related to vessel presence, surface behaviour and group composition. Anim. Behav. 2016, 117, 167–177. [Google Scholar] [CrossRef] [Green Version]
  16. Fouda, L.; Wingfield, J.E.; Fandel, A.D.; Garrod, A.; Hodge, K.B.; Rice, A.N.; Bailey, H. Dolphins simplify their vocal calls in response to increased ambient noise. Biol. Lett. 2018, 14, 20180484. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Lammers, M.O.; Howe, M.; Zang, E.; McElligott, M.; Engelhaupt, A.; Munger, L. Acoustic monitoring of coastal dolphins and their response to naval mine neutralization exercises. R. Soc. Open Sci. 2017, 4, 170558. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Ercilla, G.; Galindo, J.; Valencia, J.; Tendero, V.; Estrada, F.; Casas, D.; Alonso, B.; d’Acremont, E.; Comas, M.; Tomas, J.; et al. Understanding the geomorpholgy of the Gulf of Vera (western Mediterranean): Clues from offshore and onland structures. In Proceedings of the 21st EGU General Assembly, EGU2019, Vienna, Austria, 7–12 April 2019. [Google Scholar]
  19. Bearzi, G.; Reeves, R.R.; Nortarbartolo-Di-Sciara, G.; Politi, E.; Cañadas, A.; Frantzis, A.; Mussi, B. Ecology, status and conservation of short-beaked common dolphins Delphinus delphis in the Mediterranean Sea. Mammal Rev. 2003, 33, 224–252. [Google Scholar] [CrossRef] [Green Version]
  20. Cañadas, A.; Sagarminaga, R.; de Stephanis, R.; Urquiola, E.; Hammond, P.S. Habitat preference modelling as a conservation tool: Proposals for marine protected areas for cetaceans in southern Spanish waters. Aquat. Conservat. Mar. Freshwat. Ecosyst 2005, 15, 495–521. [Google Scholar] [CrossRef]
  21. Lara, G.; Bou-Cabo, M.; Esteban, J.A.; Espinosa, V.; Miralles, R. Design and Application of a Passive Acoustic Monitoring System in the Spanish Implementation of the Marine Strategy Framework Directive. In Proceedings of the 6th International Electronic Conference on Sensors and Applications, online, 15–30 November 2019. [Google Scholar]
  22. Lara, G.; Miralles, R.; Bou-Cabo, M.; Esteban, J.A.; Espinosa, V. New Insights into the Design and Application of a Passive Acoustic Monitoring System for the Assessment of the Good Environmental Status in Spanish Marine Waters. Sensors 2020, 20, 5353. [Google Scholar] [CrossRef] [PubMed]
  23. Bonato, M.; Papale, E.; Pingitore, G.; Ricca, S. Attoumane, Artadji and Ahmed, Ouledi and Giacoma, Cristina. Whistle characteristics of the spinner dolphin population in the Comoros Archipelago. J. Acoust. Soc. Am. 2015, 138, 3262–3271. [Google Scholar] [CrossRef] [PubMed]
  24. Gospić, N.R.; Picciulin, M. Changes in whistle structure of resident bottlenose dolphins in relation to underwater noise and boat traffic. Mar. Pollut. Bull. 2016, 105, 193–198. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Detail of the mooring line location within the special area of conservation “Valles submarinos del Escarpe de Mazarrón”.
Figure 1. Detail of the mooring line location within the special area of conservation “Valles submarinos del Escarpe de Mazarrón”.
Jmse 11 00780 g001
Figure 2. Details of the mooring line experimental setup. It consists of an anchor, an acoustic release, and the passive acoustic recorder integrated into a ringed buoy.
Figure 2. Details of the mooring line experimental setup. It consists of an anchor, an acoustic release, and the passive acoustic recorder integrated into a ringed buoy.
Jmse 11 00780 g002
Figure 3. Details of an underwater explosion event recorded (a) in the temporary domain, with the Y-axis representing the output voltage of the electroacoustic chain and (b) in the time–frequency domain (obtained in dBV 2 /Hz). It is possible to observe how the acoustical signal exceeded the allowable full-scale input ( ± 2 0.375 V) of the SAMARUC analog-to-digital converter.
Figure 3. Details of an underwater explosion event recorded (a) in the temporary domain, with the Y-axis representing the output voltage of the electroacoustic chain and (b) in the time–frequency domain (obtained in dBV 2 /Hz). It is possible to observe how the acoustical signal exceeded the allowable full-scale input ( ± 2 0.375 V) of the SAMARUC analog-to-digital converter.
Jmse 11 00780 g003
Figure 4. Classification of the whistles detected in both scenarios according to the morphology in the time–frequency (spectrogram) domain. The highest categories correspond to more complex whistles attending the morphology (number of inflection points). The nomenclature Up (U) or Down (D) corresponds to the starting frequency slope of each whistle.
Figure 4. Classification of the whistles detected in both scenarios according to the morphology in the time–frequency (spectrogram) domain. The highest categories correspond to more complex whistles attending the morphology (number of inflection points). The nomenclature Up (U) or Down (D) corresponds to the starting frequency slope of each whistle.
Jmse 11 00780 g004
Figure 5. Analysis workflow diagram.
Figure 5. Analysis workflow diagram.
Jmse 11 00780 g005
Figure 6. Acoustic analysis process exemplified by (a) a 2-second fragment of the spectrogram, obtained by applying a fast Fourier transform (4096 sampling windows and 50% overlap), (b) simplified spectrogram with quality cuts applied to harmonic and whistle durations: the blue color depicts the whistles considered in the analysis, the red color depicts the whistles that do not meet the conditions imposed by the applied quality cuts and, therefore, are neglected, (c) simplified spectrogram with the identification of contour properties linked with frequency properties, (d) simplified spectrogram overlapping the morphology classification based on the point of infection and slope determination for each whistle.
Figure 6. Acoustic analysis process exemplified by (a) a 2-second fragment of the spectrogram, obtained by applying a fast Fourier transform (4096 sampling windows and 50% overlap), (b) simplified spectrogram with quality cuts applied to harmonic and whistle durations: the blue color depicts the whistles considered in the analysis, the red color depicts the whistles that do not meet the conditions imposed by the applied quality cuts and, therefore, are neglected, (c) simplified spectrogram with the identification of contour properties linked with frequency properties, (d) simplified spectrogram overlapping the morphology classification based on the point of infection and slope determination for each whistle.
Jmse 11 00780 g006
Figure 7. Evolution of bioacoustic activity in the function of time, considering a time window of 110 s and evaluated in the 20 min before and after the explosion.
Figure 7. Evolution of bioacoustic activity in the function of time, considering a time window of 110 s and evaluated in the 20 min before and after the explosion.
Jmse 11 00780 g007
Figure 8. Percentage of whistles encoded by morphology-based categorization. The outer arcs correspond to the less complex whistles and the inner arcs correspond to the whistles with increasing inflection points.
Figure 8. Percentage of whistles encoded by morphology-based categorization. The outer arcs correspond to the less complex whistles and the inner arcs correspond to the whistles with increasing inflection points.
Jmse 11 00780 g008
Figure 9. Bar graph with the percentage of whistles grouped by morphological categories in pre- and post-scenarios.
Figure 9. Bar graph with the percentage of whistles grouped by morphological categories in pre- and post-scenarios.
Jmse 11 00780 g009
Figure 10. Box and whisker plots of whistle features before and after the detonation event. In the box plot, the horizontal thick black line indicates the median; the lower and upper box edges reflect the first and third quartiles; each whisker extends to a maximum of 1.5 inter-quartile range from the box edge. The black dots are the outliers.
Figure 10. Box and whisker plots of whistle features before and after the detonation event. In the box plot, the horizontal thick black line indicates the median; the lower and upper box edges reflect the first and third quartiles; each whisker extends to a maximum of 1.5 inter-quartile range from the box edge. The black dots are the outliers.
Jmse 11 00780 g010
Figure 11. Histograms of the minimum frequency and duration of the whistles before (blue) and after (brown) detonation.
Figure 11. Histograms of the minimum frequency and duration of the whistles before (blue) and after (brown) detonation.
Jmse 11 00780 g011
Table 1. PAM recording device configuration.
Table 1. PAM recording device configuration.
Sensitivity of the pre-amplified hydrophone 167 dB re 1V/ μ Pa (Cetacean Research C57)
Programmable gain12 dB
Storage capacity2 TBytes
Sampling rate192 kHz
Duty cycle (minutes)50 ON/5 OFF
Channel1 (mono) at 16 bits
Dynamic Range93 dB
System bandwidth ±3 dB10 Hz–96 kHz
Table 2. Number of whistles by categories according to whether they occurred before or after the detonation.
Table 2. Number of whistles by categories according to whether they occurred before or after the detonation.
Category0U0D1U1D2U2D3U3D4U4D5U5DTotal
Pre411784767123010111352
Post150335741623385131662056905
Table 3. Whistle characteristics before and after detonation and statistical comparisons.
Table 3. Whistle characteristics before and after detonation and statistical comparisons.
Start f (Hz) *End f (Hz) *Min. f (Hz) *Max. f (Hz)Central f (Hz) *Duration (s) *
PrePostPrePostPrePostPrePostPrePostPrePost
Mean10,96210,53912,83112,2929919909114,20114,23912,06011,6650.3650.521
Median10,552999612,67512,0089755877214,08014,07411,75911,4100.3390.453
SD28203592272235021863281629923506204626330.2310.352
X 2 8.1710.0158.040.0711.4947.35
p-value4.2 × 10 3 1.5 × 10 3 2.6 × 10 14 796.1 × 10 3 0.7 × 10 3 5.9 × 10 12
* Kruskal–Wallis test, p-value < 0.05.
Table 4. Percentages of p-values below the 0.05 significance level for Kruskal–Wallis tests made with 25 different sets of post-detonation whistles.
Table 4. Percentages of p-values below the 0.05 significance level for Kruskal–Wallis tests made with 25 different sets of post-detonation whistles.
Start f (Hz)End f (Hz)Min. f (Hz)Max. f (Hz)Central f (Hz)Duration (s)
% p-value < 0.0580841004100100
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Lara, G.; Bou-Cabo, M.; Llorens, S.; Miralles, R.; Espinosa, V. Acoustical Behavior of Delphinid Whistles in the Presence of an Underwater Explosion Event in the Mediterranean Coastal Waters of Spain. J. Mar. Sci. Eng. 2023, 11, 780. https://doi.org/10.3390/jmse11040780

AMA Style

Lara G, Bou-Cabo M, Llorens S, Miralles R, Espinosa V. Acoustical Behavior of Delphinid Whistles in the Presence of an Underwater Explosion Event in the Mediterranean Coastal Waters of Spain. Journal of Marine Science and Engineering. 2023; 11(4):780. https://doi.org/10.3390/jmse11040780

Chicago/Turabian Style

Lara, Guillermo, Manuel Bou-Cabo, Susana Llorens, Ramón Miralles, and Víctor Espinosa. 2023. "Acoustical Behavior of Delphinid Whistles in the Presence of an Underwater Explosion Event in the Mediterranean Coastal Waters of Spain" Journal of Marine Science and Engineering 11, no. 4: 780. https://doi.org/10.3390/jmse11040780

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop