From Australian Oceans Data Network

Optimising sample sizes for animal distribution analysis using tracking data

Created 13/03/2025

Updated 13/03/2025

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. 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.

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 dataset of flatback turtles Natator depressus tagged with accurate Fastloc-GPS tags (n = 69).

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.

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Field Value
Title Optimising sample sizes for animal distribution analysis using tracking data
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/f166d3c9-00e0-40c1-bc04-908dc0059555
Contact Point
CSIRO Oceans & Atmosphere
reception@aims.gov.au
Reference Period 19/05/2022
Geospatial Coverage {"type": "Polygon", "coordinates": [[[141.87744140625003, -24.86650252692691], [153.69873046875003, -24.86650252692691], [153.69873046875003, -10.206813072484595], [141.87744140625003, -10.206813072484595], [141.87744140625003, -24.86650252692691]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Optimising sample sizes for animal distribution analysis using tracking data". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/optimising-sample-sizes-for-animal-distribution-analysis-using-tracking-data

No duplicate datasets found.