Document Type
Article
Publication Date
2017
Keywords
Antarctic albatrosses, Diomedea exulans, immersion logger, Lévy flight, movement patterns, Thalassarche melanophris
Digital Object Identifier (DOI)
https://doi.org/10.1002/ece3.3461
Abstract
Animal movement patterns contribute to our understanding of variation in breeding success and survival of individuals, and the implications for population dynamics. Over time, sensor technology for measuring movement patterns has improved. Although older technologies may be rendered obsolete, the existing data are still valuable, especially if new and old data can be compared to test whether a behavior has changed over time. We used simulated data to assess the ability to quantify and correctly identify patterns of seabird flight lengths under observational regimes used in successive generations of wet/dry logging technology. Care must be taken when comparing data collected at differing timescales, even when using inference procedures that incorporate the observational process, as model selection and parameter estimation may be biased. In practice, comparisons may only be valid when degrading all data to match the lowest resolution in a set. Changes in tracking technology, such as the wet/dry loggers explored here, that lead to aggregation of measurements at different temporal scales make comparisons challenging. We therefore urge ecologists to use synthetic data to assess whether accurate parameter estimation is possible for models comparing disparate data sets before planning experiments and conducting analyses such as responses to environmental changes or the assessment of management actions.
Rights Information
This work is licensed under a Creative Commons Attribution 4.0 License.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Ecology and Evolution, v. 7, issue 22, p. 9257-9266
Scholar Commons Citation
Johnson, Leah R.; Boersch-Supan, Philipp H.; Phillips, Richard A.; and Ryan, Sadie J., "Changing Measurements or Changing Movements? Sampling Scale and Movement Model Identifiability across Generations of Biologging Technology" (2017). Integrative Biology Faculty and Staff Publications. 478.
https://digitalcommons.usf.edu/bin_facpub/478
Supporting Information
