Similar circling movements observed across marine megafauna taxa

Narazaki, Tomoko; Nakamura, Itsumi; Aoki, Kosuke; Iwata, Tadahisa; Shiomi, Kozue; Luschi, Paolo; Suganuma, Hiroyuki; Meyer, Carl G.; Matsumoto, Rei; Bost, Charles A.; Handrich, Yves; Amano, Masao; Okamoto, Ryosuke; Mori, Kyoichi; Ciccione, Stéphane; Bourjea, Jérôme; Sato, Katsufumi

doi:10.1016/j.isci.2021.102221

Cited by 11 publications

(11 citation statements)

References 23 publications

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“…22,23] In particular, the scales of tortuosity exhibited between VPs, as de ned with VP-corrected dead-reckoning, irrespective of the drift from true location (net error), can highlight behaviours that VPs alone cannot. For example, we demonstrate here that circling behaviour [53] can easily be distinguished in dead-reckoned tracks from tropicbirds (Fig. 5), even when the circling duration is as low as 10 s. VP-corrected deadreckoning can also greatly improve the accuracy of space-use estimates by limiting the inclusion of positional noise via advancing travel vectors and carrying out VP correction only at times when the animal is determined to be travelling.…”

Section: The Utility Of Dead-reckoningmentioning

confidence: 81%

“…Uncorrected deadreckoned paths have been referred to as 'pseudo-tracks' [41,51], because extrapolated travel vectors always incur some error, and being additive [42], even small errors accumulate to have more substantial in uences on path shape (conventionally termed 'drift' [33,46,52]). This means that, although the form of animal movement is maintained most accurately by adjacent track sections [e.g., 47,53], the relationship between animal path and the environment tends to deviate over time [54]. VPs obtained from a secondary source (e.g., GPS) can correct for this by periodically resetting accumulated drift [41,46].…”

Section: Introductionmentioning

confidence: 99%

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How Often Should Dead-Reckoned Animal Movement Paths be Corrected for Drift?

Gunner

Holton

Scantlebury

et al. 2021

Preprint

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BackgroundUnderstanding what animals do in time and space is important for a range of ecological questions, however accurate estimates of how animals use space is challenging. Within the use of animal-attached tags, radio telemetry (including the Global Positioning System (GPS)) is typically used to verify an animal’s location periodically. Straight lines are typically drawn between these ‘Verified Positions’ (VPs) so the interpolation of space-use is limited by the temporal- and spatial resolution of the system’s measurement. As such, parameters such as route-taken and distance travelled can be poorly represented when using VP systems alone. Dead-reckoning has been suggested as a technique to improve the accuracy and resolution of reconstructed movement paths, whilst maximising battery life of VP systems. This typically involves deriving travel vectors from motion sensor systems and periodically correcting path dimensions for drift with simultaneously deployed VP systems. How often paths should be corrected for drift, however, has remained unclear.Methods & ResultsHere, we review the utility of dead-reckoning across four contrasting model species using different forms of locomotion (the African lion Panthera leo, the Red-tailed tropicbird Phaethon rubricauda, the Magellanic penguin Spheniscus magellanicus, and the Imperial cormorant Leucocarbo atriceps). Simulations were performed to examine the extent of dead-reckoning error, relative to VPs, as a function of Verified Position correction (VP correction) rate and the effect of this on estimates of distance moved. Dead-reckoning error was greatest for animals travelling within air and water. We demonstrate how sources of measurement error can arise within VP-corrected dead-reckoned tracks and propose advancements to this procedure to maximise dead-reckoning accuracy.ConclusionsWe review the utility of VP-corrected dead-reckoning according to movement type and consider a range of ecological questions that would benefit from dead-reckoning, primarily concerning animal-barrier interactions and foraging strategies.

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Section: The Utility Of Dead-reckoningmentioning

confidence: 81%

Section: Introductionmentioning

confidence: 99%

How Often Should Dead-Reckoned Animal Movement Paths be Corrected for Drift?

Gunner

Holton

Scantlebury

et al. 2021

Preprint

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“…147]; useful parameters for investigating navigation and foraging strategies according to environmental circumstance-though, such parameters are also useful without superimposing on the environment. Moreover, even dead-reckoned tracks that are sparsely corrected or never corrected can detail important movement-specific behaviours [12], for example, circling behaviour [148].…”

Section: The Case-studiesmentioning

confidence: 99%

Dead-reckoning animal movements in R: a reappraisal using Gundog.Tracks

et al. 2021

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Background Fine-scale data on animal position are increasingly enabling us to understand the details of animal movement ecology and dead-reckoning, a technique integrating motion sensor-derived information on heading and speed, can be used to reconstruct fine-scale movement paths at sub-second resolution, irrespective of the environment. On its own however, the dead-reckoning process is prone to cumulative errors, so that position estimates quickly become uncoupled from true location. Periodic ground-truthing with aligned location data (e.g., from global positioning technology) can correct for this drift between Verified Positions (VPs). We present step-by-step instructions for implementing Verified Position Correction (VPC) dead-reckoning in R using the tilt-compensated compass method, accompanied by the mathematical protocols underlying the code and improvements and extensions of this technique to reduce the trade-off between VPC rate and dead-reckoning accuracy. These protocols are all built into a user-friendly, fully annotated VPC dead-reckoning R function; Gundog.Tracks, with multi-functionality to reconstruct animal movement paths across terrestrial, aquatic, and aerial systems, provided within the Additional file 4 as well as online (GitHub). Results The Gundog.Tracks function is demonstrated on three contrasting model species (the African lion Panthera leo, the Magellanic penguin Spheniscus magellanicus, and the Imperial cormorant Leucocarbo atriceps) moving on land, in water and in air. We show the effect of uncorrected errors in speed estimations, heading inaccuracies and infrequent VPC rate and demonstrate how these issues can be addressed. Conclusions The function provided will allow anyone familiar with R to dead-reckon animal tracks readily and accurately, as the key complex issues are dealt with by Gundog.Tracks. This will help the community to consider and implement a valuable, but often overlooked method of reconstructing high-resolution animal movement paths across diverse species and systems without requiring a bespoke application.

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“…In particular, the scales of tortuosity exhibited between VPs, as defined with VP-corrected dead-reckoning, irrespective of the drift from true location (net error), can highlight behaviours that VPs alone cannot. For example, we demonstrate here that circling behaviour [53] can easily be distinguished in dead-reckoned tracks from tropicbirds (Fig. 5), even when the circling duration is as low as 10 s. VP-corrected dead-reckoning can also greatly improve the accuracy of space-use estimates by limiting the inclusion of positional noise via advancing travel vectors and carrying out VP correction only at times when the animal is determined to be travelling [112].…”

Section: The Utility Of Dead-reckoningmentioning

confidence: 99%

“…Uncorrected dead-reckoned paths have been referred to as 'pseudo-tracks' [41,51], because extrapolated travel vectors always incur some error, and being additive [42], even small errors accumulate to have more substantial influences on path shape (conventionally termed 'drift' [33,46,52]). This means that, although the form of animal movement is maintained most accurately by adjacent track sections (e.g., [47,53]), the relationship between animal path and the environment tends to deviate over time [54]. VPs obtained from a secondary source (e.g., GPS) can correct for this by periodically resetting accumulated drift [41,46].…”

mentioning

confidence: 99%

How often should dead-reckoned animal movement paths be corrected for drift?

et al. 2021

View full text Add to dashboard Cite

Background Understanding what animals do in time and space is important for a range of ecological questions, however accurate estimates of how animals use space is challenging. Within the use of animal-attached tags, radio telemetry (including the Global Positioning System, ‘GPS’) is typically used to verify an animal’s location periodically. Straight lines are typically drawn between these ‘Verified Positions’ (‘VPs’) so the interpolation of space-use is limited by the temporal and spatial resolution of the system’s measurement. As such, parameters such as route-taken and distance travelled can be poorly represented when using VP systems alone. Dead-reckoning has been suggested as a technique to improve the accuracy and resolution of reconstructed movement paths, whilst maximising battery life of VP systems. This typically involves deriving travel vectors from motion sensor systems and periodically correcting path dimensions for drift with simultaneously deployed VP systems. How often paths should be corrected for drift, however, has remained unclear. Methods and results Here, we review the utility of dead-reckoning across four contrasting model species using different forms of locomotion (the African lion Panthera leo, the red-tailed tropicbird Phaethon rubricauda, the Magellanic penguin Spheniscus magellanicus, and the imperial cormorant Leucocarbo atriceps). Simulations were performed to examine the extent of dead-reckoning error, relative to VPs, as a function of Verified Position correction (VP correction) rate and the effect of this on estimates of distance moved. Dead-reckoning error was greatest for animals travelling within air and water. We demonstrate how sources of measurement error can arise within VP-corrected dead-reckoned tracks and propose advancements to this procedure to maximise dead-reckoning accuracy. Conclusions We review the utility of VP-corrected dead-reckoning according to movement type and consider a range of ecological questions that would benefit from dead-reckoning, primarily concerning animal–barrier interactions and foraging strategies.

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Similar circling movements observed across marine megafauna taxa

Abstract: Biologging 3D movement data revealed circling behaviors in marine animals Circling behaviors were observed in sharks, turtles, penguins, and marine mammals Circlings might serve several purposes including foraging, navigation, etc.

Cited by 11 publications

References 23 publications

How Often Should Dead-Reckoned Animal Movement Paths be Corrected for Drift?

How Often Should Dead-Reckoned Animal Movement Paths be Corrected for Drift?

Dead-reckoning animal movements in R: a reappraisal using Gundog.Tracks

How often should dead-reckoned animal movement paths be corrected for drift?

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