How often should dead-reckoned animal movement paths be corrected for drift?
-
Published:2021-10-16
Issue:1
Volume:9
Page:
-
ISSN:2050-3385
-
Container-title:Animal Biotelemetry
-
language:en
-
Short-container-title:Anim Biotelemetry
Author:
Gunner Richard M.ORCID, Holton Mark D., Scantlebury David M., Hopkins Phil, Shepard Emily L. C., Fell Adam J., Garde Baptiste, Quintana Flavio, Gómez-Laich Agustina, Yoda Ken, Yamamoto Takashi, English Holly, Ferreira Sam, Govender Danny, Viljoen Pauli, Bruns Angela, van Schalkwyk O. Louis, Cole Nik C., Tatayah Vikash, Börger Luca, Redcliffe James, Bell Stephen H., Marks Nikki J., Bennett Nigel C., Tonini Mariano H., Williams Hannah J., Duarte Carlos M., van Rooyen Martin C., Bertelsen Mads F., Tambling Craig J., Wilson Rory P.
Abstract
Abstract
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.
Funder
Department for Economy Global Challenges Research Agencia Nacional de Promoción Científica y Tecnológica Japan Society for the Promotion of Science Global Collaborative Research, King Abdullah University of Science and Technology Horizon 2020 research and innovation
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Instrumentation,Animal Science and Zoology,Signal Processing
Reference152 articles.
1. Morales JM, Moorcroft PR, Matthiopoulos J, Frair JL, Kie JG, Powell RA, Merrill EH, Haydon DT. Building the bridge between animal movement and population dynamics. Philos Trans R Soc B. 2010;365(1550):2289–301. 2. Browning E, Bolton M, Owen E, Shoji A, Guilford T, Freeman R. Predicting animal behaviour using deep learning: GPS data alone accurately predict diving in seabirds. Methods Ecol Evol. 2018;9(3):681–92. 3. Edelhoff H, Signer J, Balkenhol N. Path segmentation for beginners: an overview of current methods for detecting changes in animal movement patterns. Mov Ecol. 2016;4(1):21. 4. Yuan B-D, Xie S-B, Liu B, Xue D-D, Sun D. Differential movement pattern of Père David’s deer associated with the temporal rhythm using GPS collar fix. Glob Ecol Conserv. 2019;18:e00641. 5. McDuie F, Casazza ML, Overton CT, Herzog MP, Hartman CA, Peterson SH, Feldheim CL, Ackerman JT. GPS tracking data reveals daily spatio-temporal movement patterns of waterfowl. Mov Ecol. 2019;7(1):6.
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|