Assessment of long-range correlation in animal behaviour time series: the temporal pattern of locomotor activity of Japanese quail (Coturnix coturnix) and mosquito larva (Culex quinquefasciatus)
Jackelyn M. Kembro, Ana Georgina Flesia, Raquel M. Gleiser and, Mar\'ia A. Perillo, Ra\'ul H. Mar\'in

TL;DR
This study evaluates the effectiveness of Detrended Fluctuation Analysis (DFA) in detecting long-range correlations in animal behavior time series, specifically in Japanese quail and mosquito larvae, considering methodological factors for accurate analysis.
Contribution
It demonstrates the application of DFA to animal locomotor activity data, highlighting the importance of methodological considerations and validating DFA's ability to distinguish correlation patterns.
Findings
DFA successfully identified long-range correlations in both species.
The method distinguished artificial from genuine crossovers in the data.
Test duration had minimal impact on the analysis results.
Abstract
The aim of this study was to evaluate the performance of a classical method of fractal analysis, Detrended Fluctuation Analysis (DFA), in the analysis of the dynamics of animal behavior time series. In order to correctly use DFA to assess the presence of long-range correlation, previous authors using statistical model systems have stated that different aspects should be taken into account such as: 1) the establishment by hypothesis testing of the absence of short term correlation, 2) an accurate estimation of a straight line in the log-log plot of the fluctuation function, 3) the elimination of artificial crossovers in the fluctuation function, and 4) the length of the time series. Taking into consideration these factors, herein we evaluated the presence of long-range correlation in the temporal pattern of locomotor activity of Japanese quail ({\sl Coturnix coturnix}) and mosquito larva…
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