Development and evaluation of a passive acoustic localization method to monitor fish spawning aggregations and measure source levels

2019 ◽  
Author(s):  
Katherine C. Wilson ◽  
Brice X. Semmens ◽  
Stephen R. Gittings ◽  
Christy Pattengill-Semmens ◽  
Ana Sirovic
Keyword(s):  
Localization Method ◽  
Acoustic Localization ◽  
Spawning Aggregations ◽  
Fish Spawning ◽  
Passive Acoustic

Longevity of Some Coral Reef Fish Spawning Aggregations

Copeia ◽  
1996 ◽  
Vol 1996 (1) ◽  
pp. 189 ◽  
Author(s):  
Patrick L. Colin
Keyword(s):  
Coral Reef ◽  
Reef Fish ◽  
Coral Reef Fish ◽  
Spawning Aggregations ◽  
Fish Spawning

scholarly journals Red hind Epinephelus guttatus Vocal Repertoire Characterization, Behavior and Temporal Patterns

2020 ◽  
Vol 31 ◽  
pp. GCFI31-GCFI41
Author(s):  
Carlos M. Zayas Santiago ◽  
Richard S. Appeldoorn ◽  
Michelle T. Schärerer-Umpierre ◽  
Juan J. Cruz-Motta
Keyword(s):  
Low Frequency ◽  
Temporal Patterns ◽  
Spawning Aggregations ◽  
Red Hind ◽  
In Captivity ◽  
In The Wild ◽  
Epinephelus Guttatus ◽  
Spatio Temporal ◽  
Passive Acoustic ◽  
Female Call

Passive acoustic monitoring provides a method for studying grouper courtship associated sounds (CAS). For Red Hind (Epinephelus guttatus), this approach has documented spatio—temporal patterns in their spawning aggregations. This study described vocalizations produced by E. guttatus and their respective behavioral contexts in field and laboratory studies. Five sound types were identified, which included 4 calls recorded in captivity and one sound recorded in the wild, labeled as Chorus. Additionally, the Grunt call type recorded was presumed to be produced by a female. Call types consisted of variations and combinations of low frequency (50—450 Hz) pulses, grunts and tonal sounds in different combinations. Common call types exhibited diel and lunar oscillations during the spawning season, with both field and captive recordings peaking daily at 1800 AST and at 8 days after the full moon.

scholarly journals Cooperative monitoring, assessment, and management of fish spawning aggregations and associated fisheries in the U.S. Gulf of Mexico

Marine Policy ◽  
2019 ◽  
Vol 109 ◽  
pp. 103689 ◽  
Author(s):  
William D. Heyman ◽  
Arnaud Grüss ◽  
Christopher R. Biggs ◽  
Shin'ichi Kobara ◽  
Nicholas A. Farmer ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Spawning Aggregations ◽  
Fish Spawning ◽  
The U.S

Passive acoustic localization and tracking using synthetic data for the Northern Gulf of Mexico

2017 ◽  
Vol 142 (4) ◽  
pp. 2586-2586
Author(s):  
Britt J. Aguda ◽  
Kirk D. Bienvenu ◽  
Bradley J. Sciacca ◽  
Joshua Veillon ◽  
SydniCherise O. Austin ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Synthetic Data ◽  
Acoustic Localization ◽  
Northern Gulf Of Mexico ◽  
Passive Acoustic ◽  
Localization And Tracking

Passive Acoustic Localization Based on MEMS Microphone Arrays

2015 ◽  
Vol 645-646 ◽  
pp. 517-521
Author(s):  
Xi Ming Dai ◽  
Wen Zhong Lou ◽  
Ming Ru Guo ◽  
Fu Fu Wang ◽  
Xin Jin
Keyword(s):  
Cross Correlation ◽  
Field Experiments ◽  
Microphone Array ◽  
Test System ◽  
Microphone Arrays ◽  
Time Difference Of Arrival ◽  
Practical Test ◽  
Acoustic Localization ◽  
Mems Microphone ◽  
Passive Acoustic

In this paper we used the MEMS microphone to detect the sound position. A four–microphone array was constructed to localize sound source with Time Difference of Arrival (TDoA) measurements based on hyperbola model. The time delay was calculated using Generalized Cross Correlation (GCC) algorithm. A practical test system was built to confirm the feasibility of the hyperbola model and GCC algorithm using MEMS microphone. Data were collected in field experiments and calculated on PC by matlab. The results show that the method instructed in this paper is feasible in localizing the sound position with MEMS microphone.

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