Seabirds are the most threatened marine group with nearly 28% of extant species considered at risk of extinction. Managers and researchers face considerable financial and logistical challenges when designing programs to monitor the status of any of the 97 species listed as critically endangered, endangered, or vulnerable by the IUCN. These challenges are exacerbated by the fact that these birds breed in isolated/inaccessible locations, many have cryptic nest sites, and most return to colonies only at night. Acoustic sensors are an effective tool for monitoring the presence, distribution, and relative abundance of rare and elusive seabirds. We have developed new, cellphone-based wireless acoustic sensors that 1) are comparable to state-of-the-art sensors, 2) are affordable (~US$500.00 per hectare), 3) can sample continuously over months, 4) can telemeter data from remote locations via a cellular, microwave, or satellite link, and 5) can be reprogrammed remotely. To date we have deployed our wireless acoustic sensor networks to monitor seabirds of conservation concern including - Ashy Storm-petrel, Oceanodroma homochroa, on Southeast Farallon Island (CA), Tristram’s Storm-petrel, O. tristrami, on Tern Island (French Frigate Shoals), as well as Newell’s Shearwater, Puffinus newelli, and Hawaiian Petrel, Pterodroma sandwichensis, at the Upper Limahuli Preserve (Kaua’i, HI).
Skip Nav Destination
Article navigation
September 2012
Meeting abstract. No PDF available.
September 01 2012
A wireless acoustic sensor network for monitoring wildlife in remote locations
Matthew W. McKown;
Matthew W. McKown
Ecology and Evolutionary Biology, Center for Ocean Health, UC Santa Cruz, 100 Shaffer Rd., Santa Cruz, CA 95060mwmckown@ucsc.edu
Search for other works by this author on:
Martin Lukac;
Martin Lukac
Nexleaf Analytics, Los Angeles, CA
Search for other works by this author on:
Abraham Borker;
Abraham Borker
Ecology and Evolutionary Biology, Center for Ocean Health, UC Santa Cruz, CA
Search for other works by this author on:
Bernie Tershy;
Bernie Tershy
Ecology and Evolutionary Biology, Center for Ocean Health, UC Santa Cruz, CA
Search for other works by this author on:
Don Croll
Don Croll
Ecology and Evolutionary Biology, Center for Ocean Health, UC Santa Cruz, CA
Search for other works by this author on:
J. Acoust. Soc. Am. 132, 2036 (2012)
Citation
Matthew W. McKown, Martin Lukac, Abraham Borker, Bernie Tershy, Don Croll; A wireless acoustic sensor network for monitoring wildlife in remote locations. J. Acoust. Soc. Am. 1 September 2012; 132 (3_Supplement): 2036. https://doi.org/10.1121/1.4755484
Download citation file:
Citing articles via
Vowel signatures in emotional interjections and nonlinguistic vocalizations expressing pain, disgust, and joy across languages
Maïa Ponsonnet, Christophe Coupé, et al.
The alveolar trill is perceived as jagged/rough by speakers of different languages
Aleksandra Ćwiek, Rémi Anselme, et al.
A survey of sound source localization with deep learning methods
Pierre-Amaury Grumiaux, Srđan Kitić, et al.
Related Content
A method for detecting whistles, moans, and other frequency contour sounds
J. Acoust. Soc. Am. (June 2011)
Analyses of sex and individual differences in vocalizations of Australasian gannets using a dynamic time warping algorithm
J. Acoust. Soc. Am. (August 2012)
Allometric relationship between volume to surface ratio and incubation days in bird’s eggs
AIP Conf. Proc. (December 2019)
To be or not to be – Deterministic factors in deductive thermal modeling for predicting vulture flight
AIP Conf. Proc. (December 2023)