Author
Abstract
The presence of endogenous rhythms in the swimming behavior of five common species of copepods (i.e. minute marine crustaceans) was investigated through comparisons of the scaling properties of their three-dimensional trajectories and cumulative probability distribution functions of move lengths recorded during the day and at night. Beside clear inter-specific differences in their behavioral scaling properties, the five species exhibited an increase in path tortuosity at night, consistent with an increase in food foraging activity. Given the absence of food under all experimental conditions, this suggests the presence of an endogenous swimming rhythm consistent with the widely reported pattern of ascent at dusk resulting in copepods entering the food-rich surface layer at night. The impact of the stress exerted on swimming behavior by changes in the light regime (i.e. light and dark conditions respectively experienced at night and during the day) and the related copepod behavioral adaptivity was also investigated. The low and high fractal dimensions respectively observed during daytime in the dark and during night-time under conditions of simulated daytime indicate that these organisms have the ability to adjust the complexity of their swimming path depending on exogenous factors, independent of their actual endogenous rhythms. The scaling exponents of the cumulative probability distribution function of move lengths exhibit a significant decrease during daylight hours under simulated night-time conditions and during the night under simulated daytime conditions, suggesting an increase in the stress levels experienced by the five species considered. It is finally shown that the stress exerted on endogenous behavioral diel variability by exogenous cues has a species-specific effect on copepods.
Suggested Citation
Seuront, Laurent, 2011.
"Behavioral fractality in marine copepods: Endogenous rhythms versus exogenous stressors,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 250-256.
Handle:
RePEc:eee:phsmap:v:390:y:2011:i:2:p:250-256
DOI: 10.1016/j.physa.2010.09.025
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:390:y:2011:i:2:p:250-256. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.