2018
DOI: 10.3389/fmars.2018.00128
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Sonification of Animal Tracks as an Alternative Representation of Multi-Dimensional Data: A Northern Elephant Seal Example

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Cited by 4 publications
(2 citation statements)
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“…In addition, samples size in the hundreds can reveal correlated or coordinated movement patterns among individuals. An example is the coherent movement patterns suggested by the sonification of movement (i.e., the generation of sound based on the movement patterns in the tracking data) of over 300 northern elephant seals tagged over~10 yr in the Northeast Pacific Ocean (Duarte et al 2018). These studies show that the use of techniques that can deal with big data (Leek et al 2017) might bring new insights to movement ecology.…”
Section: Moving Toward Big Data Analysis (Very Large Sample Sizes; ≫100)mentioning
confidence: 99%
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“…In addition, samples size in the hundreds can reveal correlated or coordinated movement patterns among individuals. An example is the coherent movement patterns suggested by the sonification of movement (i.e., the generation of sound based on the movement patterns in the tracking data) of over 300 northern elephant seals tagged over~10 yr in the Northeast Pacific Ocean (Duarte et al 2018). These studies show that the use of techniques that can deal with big data (Leek et al 2017) might bring new insights to movement ecology.…”
Section: Moving Toward Big Data Analysis (Very Large Sample Sizes; ≫100)mentioning
confidence: 99%
“…(2) assess shifts in space use with time, among subpopulations or with gender, age class, and period (e.g., breeding cycles); (3) estimate susceptibility to interactions with human activities; (4) allow multispecies assessments at large spatial scales assessed the levels of foraging area overlap for Northern Gannets from different breeding areas (Wakefield et al 2013) revealed that oceanic shark hotspots may be at risk from overfishing (Queiroz et al 2016) used to define areas of high susceptibility for fisheries by-catch at the scale of the Atlantic Ocean based on 106 tracks (Fossette et al 2014) led to a better understanding of how seals use the circumpolar habitat in the Southern Ocean based on 287 seals (Hindell et al 2016); allowed application of big data approaches to show memory as an intrinsic driver of movement for southern elephant seals (Rodriguez et al 2017); reveal correlated or coordinated movements from a 10-yr movement data set of northern elephant seals suggested through sonification (Duarte et al 2018) revealed areas of particular ecological significance for multiple species (Raymond et al 2015); showed high variability in the distribution of cumulative impacts across multiple species (Maxwell et al 2013); highlighted hotspots, migration pathways, and niche partitioning among multiple species in the Pacific Ocean (Block et al 2011); showed that movement patterns in marine animals are strongly conserved across species regardless of evolutionary history (Sequeira et al 2018) increases, both in relation to the number of individuals tracked and the length of individual tracks, there is improved ability to resolve a range of questions associated with movement, such as home-range estimates, migration patterns including identification of high-use corridors, migration distance and variability in destinations, and foraging search patterns. How large a sample size is needed to resolve these various movement components to a certain level of confidence will depend on the extent of individual variability and on the behavior of the species being tracked.…”
Section: )mentioning
confidence: 99%