Zebrafish (Danio rerio) exhibit individual differences in risk-taking behavior during predator inspection

2005 ◽  
Vol 17 (1) ◽  
pp. 77-81 ◽  
Author(s):  
L.A. Dugatkin ◽  
M.A. McCall ◽  
R.G. Gregg ◽  
A. Cavanaugh ◽  
C. Christensen ◽  
...  
1998 ◽  
Vol 82 (3) ◽  
pp. 1047-1050 ◽  
Author(s):  
Mark R. Dixon ◽  
Linda J. Hayes ◽  
Ruth Anne Rehfeldt ◽  
Ralph E. Ebbs

The purpose of this pilot study was to examine the role of consequences in the maintenance and termination of risk-taking behavior. In 1987 Ladouceur, Mayrand, and Tourigny proposed a quantitative measure of risk-taking based on roulette playing, but this metric did not include the outcome of that risk. Therefore, their original equation may be adjusted to incorporate a concurrent analysis of the consequences of risk-taking to understand better individual differences with respect to risk-taking behavior. An experiment with six subjects, 3 experienced and 3 inexperienced, who played roulette was used to evaluate the accuracy of the equation's predictions. Replication with a much larger sample is required to substantiate the suggestion that this adjustment would be more accurate than the original equation in predicting future risk-taking.


2021 ◽  
Author(s):  
Valerio Sbragaglia ◽  
Thomas Breithaupt

Abstract Consistent inter-individual differences in daily activity rhythms (i.e., chronotypes) can have ecological consequences in determining access to food resources and avoidance of predators. The most common measure to characterize chronotypes in animals as well as humans is the onset of activity (i.e., early or late chronotypes). However, daily activity rhythms may also differ in the relative amount of activity displayed at particular time periods. Moreover, chronotypes may also be linked to other consistent inter-individual differences in behavior (i.e., personality), such as the propensity to take risks. Here, we used the signal crayfish Pacifastacus leniusculus to test the presence of chronotypes and risk-taking personality traits and a potential behavioral syndrome between these traits. We first exposed crayfish to 5 days of light–darkness to measure daily activity rhythms and then we applied a visual predator-simulating stimulus in 2 different contexts (neutral and food). Our results showed consistent (i.e., across 5 days) inter-individual differences in the relative nocturnal activity displayed in the early and middle, but not in the late part of darkness hours. Moreover, while crayfish displayed inter-individual differences in risk-taking behavior, these were not found to be consistent across 2 contexts. Therefore, we were not able to formally test a behavioral syndrome between these 2 traits. In conclusion, our study provides the first evidence of chronotypes in the relative amount of activity displayed at particular time periods. This could be a valuable information for applied ecological aspects related to the signal crayfish, which is a major invasive species of freshwater ecosystems.


Author(s):  
Thomas Plieger ◽  
Thomas Grünhage ◽  
Éilish Duke ◽  
Martin Reuter

Abstract. Gender and personality traits influence risk proneness in the context of financial decisions. However, most studies on this topic have relied on either self-report data or on artificial measures of financial risk-taking behavior. Our study aimed to identify relevant trading behaviors and personal characteristics related to trading success. N = 108 Caucasians took part in a three-week stock market simulation paradigm, in which they traded shares of eight fictional companies that differed in issue price, volatility, and outcome. Participants also completed questionnaires measuring personality, risk-taking behavior, and life stress. Our model showed that being male and scoring high on self-directedness led to more risky financial behavior, which in turn positively predicted success in the stock market simulation. The total model explained 39% of the variance in trading success, indicating a role for other factors in influencing trading behavior. Future studies should try to enrich our model to get a more accurate impression of the associations between individual characteristics and financially successful behavior in context of stock trading.


2014 ◽  
Author(s):  
Ari B. Deutsch ◽  
Michael Koren ◽  
Rachel Moody

2012 ◽  
Author(s):  
K. Bryant Smalley ◽  
Jacob C. Warren ◽  
Lisa Watson-Johnson ◽  
Nikki Barefoot ◽  
Sean Fowler

2010 ◽  
Author(s):  
Stacy Simonsen ◽  
Krista Fritson ◽  
Katharine A. Mcintyre ◽  
Shawna Mowrer

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