2019
DOI: 10.3389/fevo.2019.00030
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Validation of Dive Foraging Indices Using Archived and Transmitted Acceleration Data: The Case of the Weddell Seal

Abstract: Heerah et al.Foraging Index Validated With Acceleration foraging indices derived from time-depth recordings for Weddell seals offers new avenues for the study of foraging activity and dive energetics. This is especially pertinent for species from which tag retrieval is challenging, but also for the post-processing of the numerous low-resolution dive datasets already available.

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Cited by 14 publications
(12 citation statements)
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“…We calculated hunting depth and time spent hunting during dives using methods developed in [15]. They used high-resolution time-depth data and triaxial accelerometer data from Weddell seals to detect prey capture attempts (PrCAs) and found a strong correlation between vertical sinuosity, swimming speed, and the number of prey capture attempts.…”
Section: (B) Data Processingmentioning
confidence: 99%
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“…We calculated hunting depth and time spent hunting during dives using methods developed in [15]. They used high-resolution time-depth data and triaxial accelerometer data from Weddell seals to detect prey capture attempts (PrCAs) and found a strong correlation between vertical sinuosity, swimming speed, and the number of prey capture attempts.…”
Section: (B) Data Processingmentioning
confidence: 99%
“…prey resources and that dives to regularly visited depth layers involve hunting and prey acquisition [10,14,15].…”
mentioning
confidence: 99%
“…Moreover, new methods in data abstraction and transmission mean device retrieval is no longer obligatory to obtain the information these instruments record (Cox et al, 2018). For pinniped species, it is now possible to remotely track a suite of dive and foraging metrics such as prey catch attempts (PrCA), swimming effort, dive shape, and surface interval (Cox et al, 2018;Heerah, Cox, Blevin, Guinet, & Charrassin, 2019;Photopoulou, Lovell, Fedak, Thomas, & Matthiopoulos, 2015). As such, the early foraging strategies of free-ranging juveniles that may not return to land can now be observed and, when coupled with double tagging techniques (Drymon & Wells, 2017;Hays, Bradshaw, James, Lovell, & Sims, 2007), examined in relation to survival outcome to gain a more mechanistic understanding of how the two may be related.…”
Section: Introductionmentioning
confidence: 99%
“…Promising approaches to solve the data storage and transmission problem of modern biologgers comprise methods to compress, subset and analyse on-board the data before storing and transmitting the data (Cox et al, 2018;Heerah, Cox, Blevin, Guinet, & Charrassin, 2019), or the use of AI on-board to trigger the sensors to record data only when the animals display the behaviour of interest (Korpela et al, 2019). Here, Nuijten et al (2020) present a new data compression approach for summarizing accelerometer data on-board to increase on-board storage capacity and reduce power requirements for transmitting the data while retaining the original data's information.…”
Section: Handling and Analysing Biologging Datamentioning
confidence: 99%