Accounting for the Lombard effect in estimating the probability of detection in passive acoustic surveys: Applications for single sensor mitigation and monitoring

2022 ◽  
Vol 151 (1) ◽  
pp. 67-79
Author(s):  
K. J. Palmer ◽  
Gi-Mick Wu ◽  
Christopher Clark ◽  
Holger Klinck
Keyword(s):  
Probability Of Detection ◽  
Lombard Effect ◽  
Single Sensor ◽  
Acoustic Surveys ◽  
Passive Acoustic

Trialling an automated passive acoustic detector (T-POD) with Hector's dolphins (Cephalorhynchus hectori)

2009 ◽  
Vol 89 (5) ◽  
pp. 1015-1022 ◽  
Author(s):  
William Rayment ◽  
Steve Dawson ◽  
Liz Slooten
Keyword(s):  
Probability Of Detection ◽  
Visual Methods ◽  
Target Species ◽  
Data Logger ◽  
Sound Recordings ◽  
Acoustic Data ◽  
Acoustic Detector ◽  
Click Train ◽  
Acoustic Surveys ◽  
Passive Acoustic

Acoustic surveys can have several advantages over visual methods in surveys of cetaceans, although verification is required that novel techniques are effective. The T-POD is an autonomous acoustic data logger with inbuilt filters that can be set to match the click characteristics of the target species. We tested the performance of the T-POD for detecting Hector's dolphins at Flea Bay, Banks Peninsula, New Zealand. Simultaneous visual surveys were conducted from a hillside overlooking the bay, with distances between the T-POD and dolphins measured using a theodolite. Wideband sound recordings confirmed that T-POD detections were echolocation clicks made by Hector's dolphins. Detection probability and click train detection rate decreased with increasing distance, with no detections made beyond 500 m. By fitting detection functions to the probability of detection versus distance we showed that the T-POD effectively detected all dolphin groups within a radius of 198–239 m, depending on the click train categories utilized. The T-POD shows considerable promise as a tool for passive acoustic surveys of Hector's dolphins, with possible applications in studies of distribution, habitat use and echolocation behaviour.

scholarly journals Passive acoustic surveys for predicting species’ distributions: Optimising detection probability

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0199396 ◽  
Author(s):  
Stiele V. Hagens ◽  
Anthony R. Rendall ◽  
Desley A. Whisson
Keyword(s):  
Detection Probability ◽  
Species Distributions ◽  
Acoustic Surveys ◽  
Passive Acoustic

scholarly journals Ultrasonic Acoustic Surveys of State Endangered Northern Flying Squirrels in the Pocono Mountains, Pennsylvania

2020 ◽  
Vol 11 (2) ◽  
pp. 644-653
Author(s):  
Corinne A. Diggins ◽  
L. Michelle Gilley ◽  
Gregory G. Turner ◽  
W. Mark Ford
Keyword(s):  
New York ◽  
Probability Of Detection ◽  
Population Declines ◽  
Glaucomys Volans ◽  
Detection Rates ◽  
Flying Squirrel ◽  
Flying Squirrels ◽  
Declining Populations ◽  
Acoustic Surveys ◽  
Study Sites

Abstract Surveying for flying squirrels by using traditional techniques produces extremely low detection rates compared with ultrasonic acoustics. Within Pennsylvania, the northern flying squirrel subspecies Glaucomys sabrinus macrotis is state listed as endangered due to habitat loss and parasite-mediated competition by and hybridization with the southern flying squirrel Glaucomys volans. This subspecies is isolated from adjacent populations in West Virginia and New York and has experienced drastic population declines. The discovery and characterization of ultrasonic vocalizations of G. s. macrotis and G. volans, as well as successful field surveys with ultrasonic acoustic detectors in the southern Appalachian Mountains, highlight the potential use of this technique for determining the presence of G. s. macrotis. To confirm the feasibility of using this technique on declining populations of G. s. macrotis sympatric with G. volans, we conducted 108 nights of passive ultrasonic acoustic surveys for G. s. macrotis at six survey sites by using two detectors per survey site (N = 12 detectors) in June 2017. We considered sites high quality (“high”) or low quality (“low”) based on the number of physical capture records during the past 2 decades and the dominance of boreo-montane conifer tree species in the overstory. We detected G. s. macrotis at four study sites and G. volans at all six study sites. We found higher average probability of detection for G. s. macrotis in high vs. low sites (0.28 ± 0.06 [mean ± SE] and 0.09 ± 0.07, respectively), whereas probability of detection was similar for G. volans between high and low sites (0.13 ± 0.05 and 0.17 ± 0.05, respectively). We also found G. s. macrotis had lower latency of detection at high vs. low sites (2.7 ± 0.8 and 7.83 ± 1.5 nights, respectively) but G. volans did not vary in latency of detection between sites (5 ± 1.6 and 3.8 ± 1.5 nights, respectively). Our study shows acoustics can be successfully used to efficiently survey G. s. macrotis in Pennsylvania, where populations are small and monitoring these populations more effectively is critical to determining changes in persistence due to climate- and disease-induced factors.

scholarly journals Accounting for detection gaps when evaluating reef fish habitat use in an acoustic array

2018 ◽  
Vol 75 (3) ◽  
pp. 375-388 ◽  
Author(s):  
Nicholas A. Farmer ◽  
Jerald S. Ault
Keyword(s):  
Reef Fish ◽  
Survey Design ◽  
Fish Habitat ◽  
Probability Of Detection ◽  
Spatial Management ◽  
Detection Probabilities ◽  
Utilization Patterns ◽  
Acoustic Array ◽  
Passive Acoustic ◽  
The Relationship

Understanding the relationship between habitats and the distribution of fishes is critical to effective survey design and spatial management. Determining reef fish habitat utilization patterns from passive acoustic arrays is challenging for the following reasons: (i) habitat classifications must be meaningful to the species, (ii) the array must contain the species’ home range, and (iii) the probability of detection may differ among habitats within the array. We conducted a multi-year tracking study in the marine protected areas (MPAs) of Dry Tortugas, Florida, using a calibrated passive acoustic array deployed over habitats classified by type (reef, rubble, sand), rugosity (high, medium, low relief), and patchiness (contiguous, spur-and-groove, isolated). Our design controlled for differences between individuals, diel and edge effects, and detection gaps resulting from the nonlinear relationship between acoustic tag detection probabilities as a function of distance from the receiver. We found red and black groupers preferred high-relief reef habitats, whereas mutton and yellowtail snappers preferred low-relief contiguous reef habitats. By identifying critical habitats for exploited species, our analysis may facilitate more efficient fishery-independent sampling and MPA designs.

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