My co-authors and I are pleased to announce the publication of the paper
Garrod, A., Fandel, A.D., Wingfield, J.E., Fouda, L., Rice, A.N.,
Bailey, H. 2018. Validating automated click detector dolphin detection
rates and investigating factors affecting performance. The Journal of
the Acoustical Society of America, https://doi.org/10.1121/1.5049802.
Abstract
Passive acoustic monitoring (PAM) is a widely used technique for
studying the distribution and habitat use of cetaceans. The C-POD, an
acoustic sensor with an onboard automated click detector, has been
deployed in diverse acoustic environments, but studies verifying its
offshore detection rates and factors affecting detection probability are
scarce. To empirically evaluate the performance of C-PODs in detecting
bottlenose dolphins (/Tursiops truncatus/), C-PODs were deployed
alongside archival acoustic recorders 12–30 km offshore in the Northwest
Atlantic Ocean. The C-POD and acoustic recordings, post-processed using
PAMGUARD software, were compared for a period of 6852 h. C-POD false
positive rates were very low (mean 0.003%), and positive hourly
detection accuracy was very high (mean 99.6%). Analysis of the acoustic
environment and dolphin click characteristics revealed that true
positive detections by C-PODs were significantly more likely to occur
when PAMGUARD detected more clicks and there was increased high
frequency noise (>20 kHz), likely from distant or unclassified clicks.
C-PODs were found to be reliable indicators of dolphin presence at
hourly or greater time scales. These results support the application of
C-PODs in PAM studies that aim to investigate patterns of dolphin
occurrence, such as those related to offshore windfarms.
The paper can be found here:
https://asa.scitation.org/doi/10.1121/1.5049802
Aran Garrod
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