Data from: Optimising sample sizes for animal distribution analysis using tracking data
Type
DatasetAuthors
Shimada, TakahiroThums, Michele
Hamann, Mark
Limpus, Colin J.
Hays, Graeme C.
FitzSimmons, Nancy
Wildermann, Natalie E.
Duarte, Carlos M.

Meekan, Mark G.
KAUST Department
Red Sea Research Center (RSRC)Biological and Environmental Sciences and Engineering (BESE) Division
Marine Science Program
Date
2020Permanent link to this record
http://hdl.handle.net/10754/667709
Metadata
Show full item recordAbstract
1. Knowledge of the spatial distribution of populations is fundamental to management plans for any species. When tracking data are used to describe distributions, it is sometimes assumed that the reported locations of individuals delineate the spatial extent of areas used by the target population. 2. Here, we examine existing approaches to validate this assumption, highlight caveats, and propose a new method for a more informative assessment of the number of tracked animals (i.e. sample size) necessary to identify distribution patterns. We show how this assessment can be achieved by considering the heterogeneous use of habitats by a target species using the probabilistic property of a utilisation distribution. Our methods are compiled in the R package SDLfilter. 3. We illustrate and compare the protocols underlying existing and new methods using conceptual models and demonstrate an application of our approach using a large satellite tracking data-set of flatback turtles, Natator depressus, tagged with accurate Fastloc-GPS tags (n = 69). 4. Our approach has applicability for the post-hoc validation of sample sizes required for the robust estimation of distribution patterns across a wide range of taxa, populations and life history stages of animals.Citation
Shimada, T., Thums, M., Hamann, M., Limpus, C., Hays, G., FitzSimmons, N., Wildermann, N., Duarte, C., & Meekan, M. (2020). Data from: Optimising sample sizes for animal distribution analysis using tracking data (Version 2) [Data set]. Dryad. https://doi.org/10.5061/DRYAD.X69P8CZGHPublisher
DryadAdditional Links
http://datadryad.org/stash/dataset/doi:10.5061/dryad.x69p8czghRelations
Is Supplement To:- [Article]
Shimada, T., Thums, M., Hamann, M., Limpus, C. J., Hays, G. C., FitzSimmons, N., … Meekan, M. G. (2020). Optimising sample sizes for animal distribution analysis using tracking data. Methods in Ecology and Evolution. doi:10.1111/2041-210x.13506. DOI: 10.1111/2041-210x.13506 Handle: 10754/665593
ae974a485f413a2113503eed53cd6c53
10.5061/dryad.x69p8czgh