Prof. Dr. Peter Crnokrak

Visual & Experience Design

Prof. Crnokrak has been with the UE since 2019 and is currently the Program Coordinator of the Visual & Experience Design Program for the UE Innovation Hub in Potsdam, as well as a Professor for UE Berlin. Prof. Crnokrak has competencies in areas of Data Analysis & Statistics, Data Visualization, Computational Design, UI/UX Design, Experience Design, Generative Design, and Cliodynamics. Prof. Crnokrak guides the students of UE and trains the critical eye, help shape the innovative spirit, and sharpens the perspective “between balancing creative and commercial”.


The evolution of trade-offs: geographic variation in call duration and flight ability in the sand cricket, Gryllus firmus


Quantitative genetic theory assumes that trade-offs are best represented by bivariate normal distributions. This theory predicts that selection will shift the trade-off function itself and not just move the mean trait values along a fixed trade-off line, as is generally assumed in optimality models. As a consequence, quantitative genetic theory predicts that the trade-off function will vary among populations in which at least one of the component traits itself varies. This prediction is tested using the trade-off between call duration and flight capability, as indexed by the mass of the dorsolateral flight muscles, in the macropterous morph of the sand cricket. We use four different populations of crickets that vary in the proportion of macropterous males (Lab = 33%, Florida = 29%, Bermuda = 72%, South Carolina = 80%). We find, as predicted, that there is significant variation in the intercept of the trade-off function but not the slope, supporting the hypothesis that trade-off functions are better represented as bivariate normal distributions rather than single lines. We also test the prediction from a quantitative genetical model of the evolution of wing dimorphism that the mean call duration of macropterous males will increase with the percentage of macropterous males in the population. This prediction is also supported. Finally, we estimate the probability of a macropterous male attracting a female, P, as a function of the relative time spent calling (P = time spent calling by macropterous male/(total time spent calling by both micropterous and macropterous male). We find that in the Lab and Florida populations the probability of a female selecting the macropterous male is equal to P, indicating that preference is due simply to relative call duration. But in the Bermuda and South Carolina populations the probability of a female selecting a macropterous male is less than P, indicating a preference for the micropterous male even after differences in call duration are accounted for.

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Published by Wiley
2003, English
9 pages