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  • 1
    Online-Ressource
    Online-Ressource
    [s.l.] : Springer-Verlag
    Schlagwort(e): Earth sciences ; Earth Sciences ; Oceanography ; Aquatic ecology ; Acoustics ; Marine sciences ; Freshwater ; Image processing. ; Speech processing systems. ; Signal processing. ; Earth sciences ; Oceanography ; Aquatic ecology ; Acoustics ; Marine sciences ; Freshwater
    Beschreibung / Inhaltsverzeichnis: Introduction: Listening in the Ocean -- A review of blue whale studies from HARUphones in the Pacific -- Long-Term Monitoring of Cetaceans Using Autonomous Acoustic Recording Packages -- From Shrimp to Whales: biological applications of passive acoustic monitoring on a remote Pacific coral reef -- Studying the biosonar activities of deep diving odontocetes in Hawaii and other western Pacific locations -- Environmental acoustic recording system (EARS) in the Gulf of Mexico -- Listening to echo-location clicks with PODs -- PALAOA - The Perennial Acoustic Observatory in the Antarctic Ocean: Real-time eavesdropping on the Antarctic underwater soundscape -- Listening for whales at the Station ALOHA Cabled Observatory -- Findings from U.S. Navy hydrophone ranges -- Pinniped Sounds in the Polar Oceans -- Listening in the ocean: new discoveries and insights on marine life from autonomous passive acoustic recorders -- Passive acoustic monitoring in benthic marine crustaceans: a new research frontier -- A multi-platform ultrasonic event recorder for tagging, towing, and stationed monitoring of odontocetes -- Signal Processing.
    Materialart: Online-Ressource
    Seiten: Online-Ressource (VIII, 416 p. 210 illus., 89 illus. in color, online resource)
    Ausgabe: 1st ed. 2016
    ISBN: 9781493931767
    Serie: Modern Acoustics and Signal Processing
    Sprache: Englisch
    Anmerkung: Description based upon print version of record
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  • 2
    Online-Ressource
    Online-Ressource
    New York, NY :Springer,
    Schlagwort(e): Aquatic biology. ; Electronic books.
    Materialart: Online-Ressource
    Seiten: 1 online resource (415 pages)
    Ausgabe: 1st ed.
    ISBN: 9781493931767
    Serie: Modern Acoustics and Signal Processing Series
    DDC: 578.77
    Sprache: Englisch
    Anmerkung: Intro -- Preface -- Contents -- Chapter 1: Introduction: Listening in the Ocean -- 1.1 Introduction -- 1.2 Early History -- 1.3 The Anatomy of Modern Autonomous Remote Underwater Acoustic Recorders -- 1.4 Examples of Three Early PARs -- 1.4.1 Cornel Pop-Ups -- 1.4.2 Scripps HARP -- 1.4.3 HIMB/PIFSC Ecological Acoustic Recorder (EAR) -- 1.5 Acoustic Recording Tags -- 1.5.1 The Bioacoustic Probe/Accusonde -- 1.5.2 Digital Acoustic Recording Tag: D-tag -- 1.5.3 A-Tag -- 1.6 Discussion -- 1.6.1 Current State of Development -- 1.6.2 Organization of This Book -- References -- Chapter 2: A Review of Blue Whale Studies from HARUphones in the Pacific -- 2.1 Introduction -- 2.2 Haruphone Deployments -- 2.3 Studying Blue Whales with Passive Acoustic Monitoring -- 2.4 Key Findings -- References -- Chapter 3: Long-Term Monitoring of Cetaceans Using Autonomous Acoustic Recording Packages -- 3.1 Introduction -- 3.2 Blue and Fin Whales -- 3.3 North Pacific Right Whales -- 3.4 Bryde's Whales -- 3.5 Dolphins -- 3.6 Beaked Whales -- 3.7 Tracking Cetacean -- 3.8 Summary -- References -- Chapter 4: From Shrimp to Whales: Biological Applications of Passive Acoustic Monitoring on a Remote Pacific Coral Reef -- 4.1 Introduction -- 4.2 Methods and Results -- 4.2.1 Frequency Band Analysis -- 4.2.2 Parrotfish Analysis -- 4.2.3 Cetacean Analysis -- 4.2.3.1 Dolphins -- 4.2.3.2 Humpback Whales -- 4.2.3.3 Minke Whales -- 4.3 Discussion -- References -- Chapter 5: Studying the Biosonar Activities of Deep Diving Odontocetes in Hawaii and Other Western Pacific Locations -- 5.1 Introduction -- 5.2 Identifying Odontocete Species by Their Biosonar Signals -- 5.3 Marine Mammal Monitoring on Navy Ranges (M3R) Software -- 5.3.1 Independent Validation Test of M3R -- 5.4 Deployment of Deep EARs in Western Pacific -- 5.5 Daily Pattern of Biosonar Detections. , 5.5.1 Off the Island of Kauai -- 5.5.2 Off Okinawa and in the Marianas -- 5.5.3 Diurnal Pattern Biosonar Detections -- 5.6 Percentage of Biosonar Signals by the Different Species -- 5.7 Seasonal Variations of Foraging -- 5.8 Discussion and Conclusions -- 5.8.1 Occurrence -- 5.8.2 Relative Abundance -- 5.8.3 Diurnal Variation -- 5.9 Closing Remarks -- References -- Chapter 6: Environmental Acoustic Recording System (EARS) in the Gulf of Mexico -- 6.1 Littoral Acoustic Demonstration Center (LADC) -- 6.2 Environmental Acoustic Recording System (EARS) Buoys -- Cost of EARS buoys -- 6.3 LADC Marine Mammal Acoustic Experiments -- 6.4 Click Structure Analysis and Sperm Whale Identification -- 6.4.1 Click Structure Analysis -- 6.5 Cadence Frequency Analysis and Identification of Individual Clicking Whales -- 6.6 Identification of Individual Whales from Click Properties by Clustering -- 6.7 Click Change Detection -- 6.8 Passive Acoustic Localization -- 6.9 Identification Cues and Their Integration -- 6.10 Sperm Whale Coda Classification and Repertoire Analysis -- 6.10.1 Location -- 6.10.2 Classification and Repertoire Identification -- 6.11 Statistical Modeling and Population Estimation -- 6.11.1 Modeling Acoustic Data -- 6.11.2 Estimating Population Density -- 6.12 Summary -- References -- Chapter 7: Listening to Echolocation Clicks with PODs -- 7.1 Introduction -- 7.1.1 Filling a Gap: Origin and Design of PODs -- 7.1.2 Towing a POD -- 7.1.3 Static Acoustic Monitors: SAMs -- 7.1.4 Echolocation Click Train Detection: T-PODs -- 7.1.5 Covering the Frequency Range: C-PODs -- 7.1.6 Black Boxes -- 7.1.7 The Needle and the Haystack -- 7.1.8 Pattern Recognition -- 7.2 Working with Cetacean Echolocation -- 7.2.1 Detection Thresholds and Functions -- 7.2.2 Inferring Behaviour from POD Data -- 7.2.3 Landmark Sequences -- 7.2.4 Multipath Clusters. , 7.3 Noise and Worse: Shrimps, Sand, Storms, Sonars and WUTS -- 7.3.1 Shrimps -- 7.3.2 Sediment Transport -- 7.3.3 Masking Cetacean Sonar -- 7.3.4 Storms -- 7.3.5 Chorusing -- 7.3.6 Chinks and Chunks -- 7.3.7 Interference -- 7.3.8 Unsupervised Assessment -- 7.3.9 Acoustic Doppler Current Profilers and Fish Tags -- 7.3.10 Boat Sonars -- 7.3.11 Weak Unknown Train Sources: WUTS -- 7.4 Research Using PODs -- 7.4.1 By-Catch and Pinger Studies -- 7.4.2 Estimating Trends in the Vaquita Population -- 7.4.3 Porpoises in the German Baltic -- 7.4.4 Porpoises in the Wider Baltic -- 7.4.5 Hector's Dolphin, New Zealand -- 7.4.6 White Whales -- 7.4.7 Heaviside's Dolphin, Cephalorhynchus heavisidii -- 7.4.8 Deep Divers: Deep C-PODs -- 7.4.9 Marine Offshore Industries -- 7.4.10 Harbour Porpoises and Bottlenose Dolphins -- 7.4.11 Seismic Survey Impacts -- 7.4.12 Acoustic Behaviour Around Fishing Gear -- 7.4.13 Acoustic Behaviour in River Dolphins -- 7.4.14 Porpoise Communication -- 7.5 Future Directions -- References -- Chapter 8: PALAOA: The Perennial Acoustic Observatory in the Antarctic Ocean- Real-­Time Eavesdropping on the Antarctic Underwater Soundscape -- 8.1 Introduction and Motivation -- 8.2 Environmental Conditions -- 8.3 Challenges and Design -- 8.4 Data Management and Analysis -- 8.5 Results -- 8.5.1 Selected Research Highlights: Ambient Noise -- 8.5.2 Leopard Seals -- 8.5.3 Pinniped Vocal Behavior -- 8.5.4 Pinniped Vocal Repertoire -- 8.5.5 Cetacean Presence -- References -- Chapter 9: Listening for Whales at the Station ALOHA Cabled Observatory -- 9.1 Station ALOHA -- 9.1.1 What Is the Station ALOHA Cabled Observatory? -- 9.1.2 History of the ACO -- 9.1.3 ACO Hydrophones -- 9.2 Baleen Whales at the ACO -- 9.2.1 Characteristics of Baleen Whale Sounds Recorded at the ACO -- 9.2.2 Automatic Detection of Sounds Produced by Baleen Whales. , 9.2.3 Baleen Whales at the ACO -- 9.3 Discussion -- References -- Chapter 10: Findings from U.S. Navy Hydrophone Ranges -- 10.1 Overview -- 10.2 Passive Acoustic Monitoring System -- 10.3 Characterizing Beaked Whale Sound Emissions -- 10.4 Measuring Population Level Disturbance -- 10.5 Beaked Whale Passive Acoustic Density Estimation -- 10.6 A Passive Acoustic Method for Measuring Risk to Behavioral Disruption -- 10.7 Lessons learned -- References -- Chapter 11: Pinniped Sounds in the Polar Oceans -- 11.1 Introduction -- 11.1.1 Polar Pinniped Life History -- 11.1.2 State of Knowledge Prior to 2000 -- 11.1.2.1 Antarctic Phocids -- 11.1.2.2 Arctic Phocids -- 11.1.2.3 Polar Otariids -- 11.1.2.4 Walrus -- 11.2 Evolution of Autonomous Passive Acoustic Monitoring Systems in Polar Regions -- 11.3 Polar Pinnipeds and Autonomous PAM: New Insights -- 11.3.1 Information Gained by Long-Term Deployments of Single Elements or Sparse Arrays -- 11.3.1.1 Case Study: Antarctic Phocids -- 11.3.1.2 Case Study: Sub-Arctic Phocids and Walrus -- 11.3.1.3 Case Study: Arctic Phocids -- 11.3.2 Information Gained from Autonomous Acoustic Arrays -- 11.3.2.1 Case Study: Arctic Bearded Seals -- 11.4 Future Challenges -- References -- Table References -- Chapter 12: Listening in the Ocean: New Discoveries and Insights on Marine Life from Autonomous Passive Acoustic Recorders -- 12.1 Fish Sound Production -- 12.2 Fish Passive Acoustic Monitoring -- 12.2.1 Mobile Hydrophone Monitoring -- 12.2.2 Patterns of Fish Sound Production Using Fixed Recorders -- 12.2.3 Ocean Observatories -- 12.2.4 Hydrophone Arrays -- 12.2.5 Autonomous Gliders -- 12.2.6 Combining Fixed Autonomous Recorders and Gliders -- 12.3 Future Research -- 12.3.1 Technologies to Identify Sound Producing Species and Behavior during Sound Production. , 12.3.2 Quantification of Fish Numbers and Spawning Using Passive Acoustics -- 12.3.3 Automated Identification of Fish Sounds -- References -- Chapter 13: Passive Acoustic Monitoring in Benthic Marine Crustaceans: A New Research Frontier -- 13.1 Introduction -- 13.2 Decapod Crustacean Sounds -- 13.3 Stomatopod Crustacean Sounds -- References -- Chapter 14: A Multiplatform Ultrasonic Event Recorder for Tagging, Towing, and Stationed Monitoring of Odontocetes -- 14.1 Overview of Acoustic Tag (A-tag) -- 14.2 Specifications -- 14.2.1 Hardware -- 14.2.2 Multiplatform System -- 14.3 Findings -- 14.3.1 Porpoises Scan Ahead -- 14.3.2 Scanning Sonar of Rolling Porpoises -- 14.3.3 Acoustic Transect -- 14.3.4 Tide, Light, Prey, and Porpoises -- 14.4 Summary -- References -- Chapter 15: Signal Processing -- 15.1 Introduction -- 15.2 Filtering -- 15.3 Detection and Classification -- 15.3.1 Conditioning -- 15.4 Detection Methods -- 15.4.1 Detection Function Processing -- 15.4.2 Classification -- 15.4.3 What Is the Right Type of Classifier? -- 15.4.4 Nonparametric Classifiers -- 15.4.5 Parametric Classifiers -- 15.4.6 Unsupervised Learning -- 15.4.7 Evaluating Classifier Performance -- 15.5 Localization -- 15.5.1 Compact Hydrophone Arrays -- 15.5.2 Widely Spaced Hydrophone Arrays -- 15.5.3 Nonhomogeneous Sound Speed -- 15.5.4 Establishing Time-of-Arrival Differences -- 15.5.5 Reflection Methods -- 15.5.6 Error Estimates -- 15.5.7 Other Approaches -- 15.6 Software -- 15.6.1 Ishmael (http://www.bioacoustics.us/ishmael.html) -- 15.6.2 PAMGUARD (http://www.pamguard.org) -- 15.6.3 XBAT (http://www.xbat.org) -- 15.6.4 Additional Software Packages -- 15.6.5 General Pattern Recognition Software -- 15.7 Future Directions -- References -- Index.
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  • 3
    Digitale Medien
    Digitale Medien
    Oxford, UK : Blackwell Publishing Ltd
    Marine mammal science 15 (1999), S. 0 
    ISSN: 1748-7692
    Quelle: Blackwell Publishing Journal Backfiles 1879-2005
    Thema: Biologie
    Materialart: Digitale Medien
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  • 4
    Digitale Medien
    Digitale Medien
    Oxford, UK : Blackwell Publishing Ltd
    Marine mammal science 16 (2000), S. 0 
    ISSN: 1748-7692
    Quelle: Blackwell Publishing Journal Backfiles 1879-2005
    Thema: Biologie
    Notizen: A portable data logger controlled by a Tattletale 7 microcontroller was used to record humpback whale choruses during the 1998 humpback whale winter season in Hawaii. The data logger sampled the sounds for four minutes every half hour using a digitizing rate of 2 kHz, and the data were stored on a hard disk. The results between January and April showed a peak in the sound pressure level between mid-February and mid-March. This peak of approximately 120 dB re 1 μPa coincided with the peak in the number of whales sighted by aerial survey on 7 March 1998. The choruses had spectral peaks at 315 Hz and 630 Hz. Some of the sounds at 630 Hz were second harmonics of the 315 Hz peak and others were not. The data also indicated a diurnal pattern in the sound pressure level, with levels at night significantly louder than the daytime levels. The sound levels began to increase during sunset and remained relatively high until sunrise, when they progressively decreased to a minimum. The nighttime peak occurred within an hour before and after midnight, and the daytime minimum occurred between 1100 and 1500. That more humpback whales appear to sing at night may reflect a switch to sexual advertisement as the primary male mating strategy at this time. It may also indicate that daylight and vision play key roles in the formation of competitive groups. It is suggested that the relative number of humpback whales in a given locale may be estimated by monitoring changes in sound pressure levels.
    Materialart: Digitale Medien
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  • 5
    Digitale Medien
    Digitale Medien
    Oxford, UK : Blackwell Publishing Ltd
    Marine mammal science 19 (2003), S. 0 
    ISSN: 1748-7692
    Quelle: Blackwell Publishing Journal Backfiles 1879-2005
    Thema: Biologie
    Notizen: Dolphins produce frequency modulated (FM) whistles that are thought to promote the synchrony and coordination of behavior between members of a group. How whistles are used in this regard remains poorly understood. One possibility is that whistles have directionality and thereby convey the orientation and direction of movement of the signaler to nearby listeners. To explore this possibility, whistles from free-ranging Hawaiian spinner dolphins (Stenella longirostris) were obtained using a towed, three-hydrophone line array and examined for the presence of directionality. Both the estimated source level and harmonic content of whistles produced by animals traveling with or toward the array were greater than those of animals moving ahead or away from it. In addition, signals produced by animals near the array (within 20 m) were received differently on the three hydrophones spaced 11.5 m apart. These differences were greater than would be expected from transmission loss disparities alone. The results indicate that directivity is present in the transmission pattern of whistles. To infer the form of this directivity, a theoretical whistle beam pattern was established based on the assumption that the dolphin's sound source is approximated by a circular piston transducer (Au 1993). The resulting beam indicates that spinner dolphin whistles become increasingly directional with frequency, especially with respect to harmonics. The orientation-dependent harmonic structure of whistles thus presents a potential cue that listening animals could interpret to infer the direction of movement of signalers. Harmonics are present in the whistles of many dolphin species and may represent an inherent signal design feature that promotes coordination between animals.
    Materialart: Digitale Medien
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  • 6
    Publikationsdatum: 2022-05-25
    Beschreibung: © The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Frontiers in Marine Science 4 (2017): 109, doi:10.3389/fmars.2017.00109.
    Beschreibung: Assessment of underwater noise is of particular interest given the increase in noise-generating human activities and the potential negative effects on marine mammals which depend on sound for many vital processes. The Azores archipelago is an important migratory and feeding habitat for blue (Balaenoptera musculus), fin (Balaenoptera physalus) and sei whales (Balaenoptera borealis) en route to summering grounds in northern Atlantic waters. High levels of low frequency noise in this area could displace whales or interfere with foraging behavior, impacting energy intake during a critical stage of their annual cycle. In this study, bottom-mounted Ecological Acoustic Recorders were deployed at three Azorean seamounts (Condor, Açores, and Gigante) to measure temporal variations in background noise levels and ship noise in the 18–1,000 Hz frequency band, used by baleen whales to emit and receive sounds. Monthly average noise levels ranged from 90.3 dB re 1 μPa (Açores seamount) to 103.1 dB re 1 μPa (Condor seamount) and local ship noise was present up to 13% of the recording time in Condor. At this location, average contribution of local boat noise to background noise levels is almost 10 dB higher than wind contribution, which might temporally affect detection ranges for baleen whale calls and difficult communication at long ranges. Given the low time percentatge with noise levels above 120 dB re 1 μPa found here (3.3% at Condor), we woud expect limited behavioral responses to ships from baleen whales. Sound pressure levels measured in the Azores are lower than those reported for the Mediterranean basin and the Strait of Gibraltar. However, the currently unknown effects of baleen whale vocalization masking and the increasing presence of boats at the monitored sites underline the need for continuous monitoring to understand any long-term impacts on whales.
    Beschreibung: Fundação para a Ciência e a Tecnologia (FCT) and Fundo Regional da Ciência e Tecnologia (FRCT), through research projects TRACE (PTDC/MAR/74071/2006), MAPCET (M2.1.2/F/012/2011), and FCT Exploratory project (IF/00943/2013/CP1199/CT0001), supported by funds from FEDER, the Competitiveness Factors Operational (COMPETE), QREN, POPH, European Social Fund, Portuguese Ministry for Science and Education, and Proconvergencia Açores/EU Program. We also acknowledge funds provided by FCT to MARE, through the strategic project UID/MAR/04292/2013, that also supported fees for this open access publication. MR is supported by a DRCT doctoral grant (M3.1.a/F/028/2015), IC was supported by a FCT doctoral grant (SFRH/BD/41192/2007) and MAS is supported by an FCT-Investigator contract (IF/00943/2013).
    Schlagwort(e): Underwater noise ; Ship noise ; Baleen whales ; MSFD ; Open ocean environment
    Repository-Name: Woods Hole Open Access Server
    Materialart: Article
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  • 7
    Publikationsdatum: 2022-05-25
    Beschreibung: Author Posting. © The Author(s), 20113. This is the author's version of the work. It is posted here by permission of Taylor & Francis for personal use, not for redistribution. The definitive version was published in Ethology Ecology & Evolution 26 (2014): 392-404, doi:10.1080/03949370.2013.851122.
    Beschreibung: Genetic studies have shown that there are small but significant differences between the short-beaked common dolphin populations in the Atlantic Ocean and those in the Mediterranean Sea. The short-beaked common dolphin is a highly vocal species with a wide sound production repertoire including whistles. Whistles are continuous, narrowband, frequency-modulated signals that can show geographic variation in dolphin species. This study tests whether the differences, highlighted by genetic studies, are recognisable in the acoustic features of short-beaked common dolphin’s whistles in the two adjacent areas of the Atlantic Ocean and the Mediterranean Sea. From a selected sample of good quality whistles (514 recorded in the Atlantic and 193 in the Mediterranean) 10 parameters of duration, frequency and frequency modulation were measured. Comparing data among basins, differences were found for duration and all frequency parameters except for minimum frequency. Modulation parameters showed the highest coefficient of variation. Through discriminant analysis we correctly assigned 75.7% of sounds to their basins. Furthermore, micro-geographic analysis revealed similarity between the sounds recorded around the Azores and the Canary archipelagos and between the Bay of Biscay and the Mediterranean Sea. Results are in agreement with the hypothesis proposed by previous genetic studies that two distinct populations are present, still supposing a gene flow between the basins. This study is the first to compare shortbeaked common dolphin’s whistles of the Atlantic Ocean and the Mediterranean areas.
    Beschreibung: Data collection and processing in the Azores was conducted under projects POCTI/BSE/38991/01, PTDC/MAR/74071/2006 and M2.1.2/F/012/2011, supported by FCT (Fundação para a Ciência e a Tecnologia) and DRCTC/SRCTE (Secretaria Regional de Ciência, Tecnologia e Equipamentos), FEDER funds, the Competitiveness Factors Operational (COMPETE), QREN European Social Fund and Proconvergencia Açores Program. We acknowledge funds provided by FCT to LARSyS Associated Laboratory & IMAR-University of the Azores/ the Thematic Area E of the Strategic Project (OE & Compete) and by the DRCTC – Government of the Azores pluriannual funding. M.A. Silva was supported by an FCT postdoctoral grant (SFRH/ BPD/29841/2006). I. Cascão and R. Prieto were supported by FCT doctoral grants (SFRH/BD/ 41192/2007 and SFRH/BD/32520/2006, respectively) and R. Prieto by a research grant from the Azores Regional Fund for Science and Technology (M3.1.5/F/115/2012). Data collection by SECAC (Society for the Study of Cetaceans in the Canary Archipelago) was funded by the U.E. LIFE programme – project LIFE INDEMARES (LIFE 07/NAT/E/000732)- and the Fundación Biodiversidad, under the Spanish Ministry of Environment, Rural and Marine Affairs (project ZEC-TURSIOPS).
    Beschreibung: 2014-11-05
    Schlagwort(e): Short-beaked common dolphin ; Intra-specific differences ; Geographic variation ; Mediterranean ; Atlantic ; Whistles
    Repository-Name: Woods Hole Open Access Server
    Materialart: Preprint
    Format: application/pdf
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  • 8
    Publikationsdatum: 2022-05-27
    Beschreibung: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Papale, E. B., Azzolin, M. A., Cascao, I., Gannier, A., Lammers, M. O., Martin, V. M., Oswald, J. N., Perez-Gil, M., Prieto, R., Silva, M. A., Torri, M., & Giacoma, C. Dolphin whistles can be useful tools in identifying units of conservation. Bmc Zoology, 6(1), (2021): 22, https://doi.org/10.1186/s40850-021-00085-7.
    Beschreibung: Prioritizing groupings of organisms or ‘units’ below the species level is a critical issue for conservation purposes. Several techniques encompassing different time-frames, from genetics to ecological markers, have been considered to evaluate existing biological diversity at a sufficient temporal resolution to define conservation units. Given that acoustic signals are expressions of phenotypic diversity, their analysis may provide crucial information on current differentiation patterns within species. Here, we tested whether differences previously delineated within dolphin species based on i) geographic isolation, ii) genetics regardless isolation, and iii) habitat, regardless isolation and genetics, can be detected through acoustic monitoring. Recordings collected from 104 acoustic encounters of Stenella coeruleoalba, Delphinus delphis and Tursiops truncatus in the Azores, Canary Islands, the Alboran Sea and the Western Mediterranean basin between 1996 and 2012 were analyzed. The acoustic structure of communication signals was evaluated by analyzing parameters of whistles in relation to the known genetic and habitat-driven population structure.
    Beschreibung: Data collection and processing in the Azores was funded by Fundação para a Ciência e a Tecnologia (FCT) and Fundo Regional da Ciência e Tecnologia (FRCT), through research projects TRACE-PTDC/MAR/74071/2006 and MAPCET-M2.1.2/F/012/2011 (FEDER, the Competitiveness Factors Operational (COMPETE), QREN European Social Fund, and Pro convergencia Açores/EU Program). We also thank FCT for supporting MARE (UID/MAR/04292/2019) and OKEANOS (UIB/05634/2020), as well as for the research grants awarded to PR (SFRH/BPD/108007/2015) and CI (Project Awareness - PTDC/BIA-BMA/30514/2017). SMA is supported through project SUMMER (H2020-EU.3.2.3.1, GA 817806). Data collection by SECAC was funded by the EU LIFE programme—project LIFE INDEMARES (LIFE 07/NAT/E/000732)— and the Fundación Biodiversidad under the Spanish Ministry of Environment, Rural and Marine Affairs (project ZEC-TURSIOPS). EP was supported by a LLP/Erasmus grant 2010–2011 for collecting data in the Canary Islands.
    Schlagwort(e): Communication signals ; Acoustic divergence ; Geographic variability ; Phenotypic diversity ; Cetaceans
    Repository-Name: Woods Hole Open Access Server
    Materialart: Article
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  • 9
    Publikationsdatum: 2022-06-09
    Beschreibung: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Mooney, T. A., Di Iorio, L., Lammers, M., Lin, T., Nedelec, S. L., Parsons, M., Radford, C., Urban, E., & Stanley, J. Listening forward: approaching marine biodiversity assessments using acoustic methods. Royal Society Open Science, 7(8), (2020): 201287, doi:10.1098/rsos.201287.
    Beschreibung: Ecosystems and the communities they support are changing at alarmingly rapid rates. Tracking species diversity is vital to managing these stressed habitats. Yet, quantifying and monitoring biodiversity is often challenging, especially in ocean habitats. Given that many animals make sounds, these cues travel efficiently under water, and emerging technologies are increasingly cost-effective, passive acoustics (a long-standing ocean observation method) is now a potential means of quantifying and monitoring marine biodiversity. Properly applying acoustics for biodiversity assessments is vital. Our goal here is to provide a timely consideration of emerging methods using passive acoustics to measure marine biodiversity. We provide a summary of the brief history of using passive acoustics to assess marine biodiversity and community structure, a critical assessment of the challenges faced, and outline recommended practices and considerations for acoustic biodiversity measurements. We focused on temperate and tropical seas, where much of the acoustic biodiversity work has been conducted. Overall, we suggest a cautious approach to applying current acoustic indices to assess marine biodiversity. Key needs are preliminary data and sampling sufficiently to capture the patterns and variability of a habitat. Yet with new analytical tools including source separation and supervised machine learning, there is substantial promise in marine acoustic diversity assessment methods.
    Beschreibung: Funding for development of this article was provided by the collaboration of the Urban Coast Institute (Monmouth University, NJ, USA), the Program for the Human Environment (The Rockefeller University, New York, USA) and the Scientific Committee on Oceanic Research. Partial support was provided to T.A.M. from the National Science Foundation grant OCE-1536782.
    Schlagwort(e): soundscape ; bioacoustics ; richness ; ecosystem health
    Repository-Name: Woods Hole Open Access Server
    Materialart: Article
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  • 10
    Publikationsdatum: 2022-06-09
    Beschreibung: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Parsons, M., Lin, T.-H., Mooney, T., Erbe, C., Juanes, F., Lammers, M., Li, S., Linke, S., Looby, A., Nedelec, S., Van Opzeeland, I., Radford, C., Rice, A., Sayigh, L., Stanley, J., Urban, E., & Di Iorio, L. Sounding the call for a global library of underwater biological sounds. Frontiers in Ecology and Evolution, 10, (2022): 810156, https://doi.org/10.3389/fevo.2022.810156.
    Beschreibung: Aquatic environments encompass the world’s most extensive habitats, rich with sounds produced by a diversity of animals. Passive acoustic monitoring (PAM) is an increasingly accessible remote sensing technology that uses hydrophones to listen to the underwater world and represents an unprecedented, non-invasive method to monitor underwater environments. This information can assist in the delineation of biologically important areas via detection of sound-producing species or characterization of ecosystem type and condition, inferred from the acoustic properties of the local soundscape. At a time when worldwide biodiversity is in significant decline and underwater soundscapes are being altered as a result of anthropogenic impacts, there is a need to document, quantify, and understand biotic sound sources–potentially before they disappear. A significant step toward these goals is the development of a web-based, open-access platform that provides: (1) a reference library of known and unknown biological sound sources (by integrating and expanding existing libraries around the world); (2) a data repository portal for annotated and unannotated audio recordings of single sources and of soundscapes; (3) a training platform for artificial intelligence algorithms for signal detection and classification; and (4) a citizen science-based application for public users. Although individually, these resources are often met on regional and taxa-specific scales, many are not sustained and, collectively, an enduring global database with an integrated platform has not been realized. We discuss the benefits such a program can provide, previous calls for global data-sharing and reference libraries, and the challenges that need to be overcome to bring together bio- and ecoacousticians, bioinformaticians, propagation experts, web engineers, and signal processing specialists (e.g., artificial intelligence) with the necessary support and funding to build a sustainable and scalable platform that could address the needs of all contributors and stakeholders into the future.
    Beschreibung: Support for the initial author group to meet, discuss, and build consensus on the issues within this manuscript was provided by the Scientific Committee on Oceanic Research, Monmouth University Urban Coast Institute, and Rockefeller Program for the Human Environment. The U.S. National Science Foundation supported the publication of this article through Grant OCE-1840868 to the Scientific Committee on Oceanic Research.
    Schlagwort(e): soundscape ; bioacoustics database ; artificial intelligence ; biodiversity ; passive acoustic monitoring ; ecological informatics
    Repository-Name: Woods Hole Open Access Server
    Materialart: Article
    Standort Signatur Einschränkungen Verfügbarkeit
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