Density estimation of Yangtze finless porpoises using passive acoustic sensors and automated click train detection

2010 ◽  
Vol 128 (3) ◽  
pp. 1435 ◽  
Author(s):  
Satoko Kimura ◽  
Tomonari Akamatsu ◽  
Songhai Li ◽  
Shouyue Dong ◽  
Lijun Dong ◽  
...  
2009 ◽  
Author(s):  
Len Thomas ◽  
Tiago Marques ◽  
David Borchers ◽  
Catriona Harris ◽  
David Moretti ◽  
...  

2010 ◽  
Vol 127 (3) ◽  
pp. 1825-1825
Author(s):  
Holger Klinck ◽  
Nadine Constantinou ◽  
David K. Mellinger ◽  
Tracey Rogers

2015 ◽  
Vol 138 (3) ◽  
pp. 1792-1792
Author(s):  
Julia A. Vernon ◽  
Jennifer L. Miksis-Olds ◽  
Danielle Harris

2009 ◽  
Vol 125 (4) ◽  
pp. 1982-1994 ◽  
Author(s):  
Tiago A. Marques ◽  
Len Thomas ◽  
Jessica Ward ◽  
Nancy DiMarzio ◽  
Peter L. Tyack

2011 ◽  
Vol 130 (4) ◽  
pp. 2450-2450 ◽  
Author(s):  
Helen H. Ou ◽  
Pasang Sherpa ◽  
Lisa M. Zurk

2021 ◽  
pp. 53-78
Author(s):  
Anne-Sophie Crunchant ◽  
Chanakya Dev Nakka ◽  
Jason T. Isaacs ◽  
Alex K. Piel

Animals share acoustic space to communicate vocally. The employment of passive acoustic monitoring to establish a better understanding of acoustic communities has emerged as an important tool in assessing overall diversity and habitat integrity as well as informing species conservation strategies. This chapter aims to review how traditional and more emerging bioacoustic techniques can address conservation issues. Acoustic data can be used to estimate species occupancy, population abundance, and animal density. More broadly, biodiversity can be assessed via acoustic diversity indices, using the number of acoustically conspicuous species. Finally, changes to the local soundscape provide an early warning of habitat disturbance, including habitat loss and fragmentation. Like other emerging technologies, passive acoustic monitoring (PAM) benefits from an interdisciplinary collaboration between biologists, engineers, and bioinformaticians to develop detection algorithms for specific species that reduce time-consuming manual data mining. The chapter also describes different methods to process, visualize, and analyse acoustic data, from open source to commercial software. The technological advances in bioacoustics turning heavy, non-portable, and expensive hardware and labour and time-intensive methods for analysis into new small, movable, affordable, and automated systems, make acoustic sensors increasingly popular among conservation biologists for all taxa.


Author(s):  
Satoko Kimura ◽  
Tomonari Akamatsu ◽  
Liang Fang ◽  
Zhitao Wang ◽  
Kexiong Wang ◽  
...  

The acoustic performance and behaviour of free-ranging cetaceans requires investigation under natural conditions to understand how wild animals use sound. This is also useful to develop quantitative evaluation techniques for passive acoustic monitoring. There have been limited studies on the acoustics of the Indo-Pacific humpback dolphin; nevertheless, this species is of particular concern because of the anthropogenic activity in the coastal habitats. In the present study, we used a four-hydrophone array to estimate the apparent source levels (ASLs) of biosonar sequences (click trains), of this species in San-Niang Bay, China. As the dolphins approached the array, 173 click trains were found to meet the criteria of on-axis sounds produced within 60 m of the equipment. In total, 121 unclipped click trains were used for the ASL estimation. The qualified click trains contained 36.3 ± 32.5 clicks, lasting for 1.5 ± 1.5 s, with average inter-click intervals (ICIs) of 51.2 ± 38.3 ms. Average ICIs showed a bimodal distribution, with a cut-off at 20 ms. Short-range click trains, with short ICIs of <20 ms on average, were characterized by smaller ASLs, relatively stable ICIs and a shorter click train duration. The mean back-calculated ASL for humpback dolphins with an approximately maximum body size of 2.5 m was 181.7 ± 7.0 dB re 1 μPa at a distance of 1.6–57.2 m. This value was comparable to that recorded for other dolphins of similar body size, although the ASL estimates obtained in this study might be conservative.


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