Classification of anomalous diffusion in animal movement data using power spectral analysis
- The field of movement ecology has seen a rapid increase in high-resolution data in recent years, leading to the development of numerous statistical and numerical methods to analyse relocation trajectories. Data are often collected at the level of the individual and for long periods that may encompass a range of behaviours. Here, we use the power spectral density (PSD) to characterise the random movement patterns of a black-winged kite (Elanus caeruleus) and a white stork (Ciconia ciconia). The tracks are first segmented and clustered into different behaviours (movement modes), and for each mode we measure the PSD and the ageing properties of the process. For the foraging kite we find 1/f noise, previously reported in ecological systems mainly in the context of population dynamics, but not for movement data. We further suggest plausible models for each of the behavioural modes by comparing both the measured PSD exponents and the distribution of the single-trajectory PSD to known theoretical results and simulations.
Author details: | Ohad VilkORCiD, Erez Aghion, Ran Nathan, Sivan Toledo, Ralf MetzlerORCiDGND, Michael AssafORCiD |
---|---|
DOI: | https://doi.org/10.1088/1751-8121/ac7e8f |
ISSN: | 1751-8113 |
ISSN: | 1751-8121 |
Title of parent work (English): | Journal of physics : A, Mathematical and theoretical |
Publisher: | IOP Publishing |
Place of publishing: | Bristol |
Publication type: | Article |
Language: | English |
Date of first publication: | 2022/08/10 |
Publication year: | 2022 |
Release date: | 2024/06/03 |
Tag: | anomalous diffusion; diffusion; ecological; movement data; power spectral analysis |
Volume: | 55 |
Issue: | 33 |
Article number: | 334004 |
Number of pages: | 16 |
Funding institution: | JNF/KKL Grant [60-01-221-18]; DIP (DFG) [NA 846/1]; Minerva Foundation;; Minerva Center for Movement Ecology; Adelina and Massimo Della Pergola; Chair of Life Sciences; German Science Foundation (DFG) [ME 1535/12-1];; ISF [531/20]; Alexander von Humboldt Foundation |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie |
DDC classification: | 5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik |
Peer review: | Referiert |
Publishing method: | Open Access / Hybrid Open-Access |
License (German): | CC-BY - Namensnennung 4.0 International |