Detrended fluctuation analysis of behavioural responses to mild acute stressors in domestic hens

Rutherford, Kenny; Haskell, Marie J.; Glasbey, C. A.; Jones, Robert B.; Lawrence, Alistair B.

doi:10.1016/s0168-1591(03)00115-1

Cited by 45 publications

(55 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kembro et al [31] for instance showed increased stochasticity in the movement behavior of mosquito larvae exposed to lethal and sub-lethal doses of essential oils. Similarly, greater stochasticity was also observed by Rutherford et al [26] in behavioral patterns of hens exposed to novel housing conditions. The contrasting responses to the presence of stressors appear to depend on the specific type of stressor faced by individuals, with greater stochasticity expected in cases of acute stress and greater stereotypy expected in cases of chronic stress [18,27].…”

Section: Introductionsupporting

confidence: 71%

“…Observed complexity signatures under normal conditions are thus predicted to reflect theoretical optimal behavior patterns [14,25], while deviations from such theoretical optimal patterns have been associated on numerous occasions with pathological or otherwise challenging intrinsic conditions, such as intense parasitic infection [6,25], increased physiological stress [30], anthropogenic disturbance [29] and even advanced reproductive state [6,25]. While increased complexity might approximate an optimal solution to some imposed stressors, e.g., the increased vigilance sequences observed in hens moved to novel enclosures [26], these tendencies toward stochasticity also appear to be associated with decreased energetic efficiency. Thus, hens in novel environments also significantly increased their total vigilance behavior, which would interfere with normal feeding patterns [26].…”

Section: Discussionmentioning

confidence: 99%

“…These deviations from normal behavioral patterns in nonlinear systems, known as 'complexity loss' , were first observed in physiological systems producing heart rate variability [22], stride patterns [23] and neural activity [24]: pathological systems produce times series with altered complexity signatures. Complexity loss has now also been observed in various forms of animal behavior, such as not only foraging and movement but also vigilance, postural behavior and even social behavior, when animals are confronted with some or another stressor [6,[25][26][27][28][29][30]. For example, Spanish ibex (Capra pyrenaica, [25]) and Japanese macaques (Macaca fuscata, [6]) infected by parasites have showed a decrease in behavioral sequence complexity.…”

Section: Introductionmentioning

confidence: 99%

“…Altered complexity signatures may reflect changes toward either greater stereotypy or greater randomness, depending on the nature of the disruption [17,18,26]. Kembro et al [31] for instance showed increased stochasticity in the movement behavior of mosquito larvae exposed to lethal and sub-lethal doses of essential oils.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Hydrodynamic handicaps and organizational complexity in the foraging behavior of two free-ranging penguin species

et al. 2015

View full text Add to dashboard Cite

Background:Animal movement exhibits self-similarity across a range of both spatial and temporal scales reminiscent of statistical fractals. Stressors are known to induce changes in these statistical patterns of behavior, although the direction and interpretation of such changes are not always clear. We examined whether the imposition of known hydrodynamic disruptors, bio-logging devices and flipper bands, induces changes in the temporal organization (complexity) of foraging sequences in two penguin species, little penguins (Eudyptula minor) and Adélie penguins (Pygoscelis adeliae).Results: Detrended fluctuation analysis showed that foraging sequences produced by little penguins carrying larger loggers were more complex, i.e., were more erratic tending toward greater stochasticity, than those carrying smaller loggers. However, logger size did not affect complexity in foraging sequences of Adélie penguins. Logger position was associated only weakly with altered complexity in little penguins, with individuals carrying loggers in the middle of their backs displaying slightly more complex dive sequences than those carrying loggers lower on their backs. Finally, despite their known negative effects on penguin fitness, flipper bands were not associated with dive sequence complexity in little penguins. Conclusions:Despite that externally attached devices can disrupt certain behavioral parameters in diving seabirds, we found mixed evidence in support of the hypothesis that such devices significantly disrupt the time-structured organizational properties of foraging sequences in the two penguin species investigated. However, smaller species carrying larger loggers, and perhaps those positioned higher on their backs, may experience an added element of noise in their behavioral sequences that may indicate a departure from foraging behavior observed under normal, unburdened conditions.

show abstract

Section: Introductionsupporting

confidence: 71%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hydrodynamic handicaps and organizational complexity in the foraging behavior of two free-ranging penguin species

et al. 2015

View full text Add to dashboard Cite

show abstract

“…The fractal dimension of behavior patterns have been measured and correlated to general health or stress in chimpanzees [28], fathead minnows [29], Iberian ibex [30], and domestic hens [31]. In plants, fractal analysis has been used to correlate the fractal dimension of physical measurements (self-similarity) to stress.…”

Section: Introductionmentioning

confidence: 99%

Variation in Fractal Symmetry of Annual Growth in Aspen as an Indicator of Developmental Stability in Trees

et al. 2015

View full text Add to dashboard Cite

Abstract:Fractal symmetry is symmetry across scale. If one looks at a branch of a tree its branching pattern is reminiscent of the tree as a whole. Plants exhibit a number of different symmetries, including bilateral, rotational, translational, and fractal; deviations from each of these types has been associated with organisms developing in stressful environments. Here, we explore the utilization and meaning of fractal analysis on annual growth ring production in woody plants. Early detection of stress in plants is difficult and the compounding effects of multiple or severe stressors can lead to irreversible damage or death. Annual wood production was used to produce a time series for individuals from stands classified as either high vigor or low vigor (a general measure of health). As a measure of symmetry over time, the fractal dimension of each time series was determined and compared among vigor classes. We found that individuals obtained from low vigor sites had a significantly lower fractal dimension than those from high vigor sites. These results agree with patterns found in a variety of other organisms, and we argue that the reduced fractal dimension is related to a loss in system complexity of stressed individuals.

show abstract

Network dynamics: quantitative analysis of complex behavior in metabolism, organelles, and cells, from experiments to models and back

Kurz

Kembro

Flesia

et al. 2016

WIREs Mechanisms of Disease

View full text Add to dashboard Cite

Advancing from two core traits of biological systems: multilevel network organization and nonlinearity, we review a host of novel and readily available techniques to explore and analyze their complex dynamic behavior within the framework of experimental-computational synergy. In the context of concrete biological examples, analytical methods such as wavelet, power spectra, and metabolomics-fluxomics analyses, are presented, discussed, and their strengths and limitations highlighted. Further shown is how time series from stationary and nonstationary biological variables and signals, such as membrane potential, high-throughput metabolomics, O and CO levels, bird locomotion, at the molecular, (sub)cellular, tissue, and whole organ and animal levels, can reveal important information on the properties of the underlying biological networks. Systems biology-inspired computational methods start to pave the way for addressing the integrated functional dynamics of metabolic, organelle and organ networks. As our capacity to unravel the control and regulatory properties of these networks and their dynamics under normal or pathological conditions broadens, so is our ability to address endogenous rhythms and clocks to improve health-span in human aging, and to manage complex metabolic disorders, neurodegeneration, and cancer. WIREs Syst Biol Med 2017, 9:e1352. doi: 10.1002/wsbm.1352 For further resources related to this article, please visit the WIREs website.

show abstract

Detrended fluctuation analysis of behavioural responses to mild acute stressors in domestic hens

Cited by 45 publications

References 17 publications

Hydrodynamic handicaps and organizational complexity in the foraging behavior of two free-ranging penguin species

Hydrodynamic handicaps and organizational complexity in the foraging behavior of two free-ranging penguin species

Variation in Fractal Symmetry of Annual Growth in Aspen as an Indicator of Developmental Stability in Trees

Network dynamics: quantitative analysis of complex behavior in metabolism, organelles, and cells, from experiments to models and back

Contact Info

Product

Resources

About