An evolutionary perspective on self-organized division of labor in social insects

Division of labor is a complex phenomenon observed throughout nature. Theoretical studies have focused either on its emergence through self-organization mechanisms or on its adaptive consequences. We suggest that the interaction of self-organization, which undoubtedly characterizes division of labor in social insects, and evolution should be further explored. We review the factors empirically shown to influence task choice. In light of these factors, we review the most important self-organization and evolutionary models for division of labor and outline their advantages and limitations. We describe ways to unify evolution and self-organization in the theoretical study of division of labor and recent results in this area. Finally, we discuss some benchmarks and primary challenges of this approach.

Labor documental para programas de entretenimiento en las televisiones

Se presentan las diferentes áreas con las que han de contar las bases de datos para el control de la documentación audiovisual en el marco de la gestión, conservación y difusión de los programas de entretenimiento de las televisiones. Se muestran las áreas control, producción, emisión, descripción física, descriptores temáticos, geográficos, cronológicos, título, responsabilidad y localización. Además se presentan una serie de peculiaridades de difusión de dicha información. Igualmente se lleva a cabo una tipología de los programas que se realizan y producen en las empresas televisivas.

Evolution of self-organized division of labor in a response threshold model.

Division of labor in social insects is determinant to their ecological success. Recent models emphasize that division of labor is an emergent property of the interactions among nestmates obeying to simple behavioral rules. However, the role of evolution in shaping these rules has been largely neglected. Here, we investigate a model that integrates the perspectives of self-organization and evolution. Our point of departure is the response threshold model, where we allow thresholds to evolve. We ask whether the thresholds will evolve to a state where division of labor emerges in a form that fits the needs of the colony. We find that division of labor can indeed evolve through the evolutionary branching of thresholds, leading to workers that differ in their tendency to take on a given task. However, the conditions under which division of labor evolves depend on the strength of selection on the two fitness components considered: amount of work performed and on worker distribution over tasks. When selection is strongest on the amount of work performed, division of labor evolves if switching tasks is costly. When selection is strongest on worker distribution, division of labor is less likely to evolve. Furthermore, we show that a biased distribution (like 3:1) of workers over tasks is not easily achievable by a threshold mechanism, even under strong selection. Contrary to expectation, multiple matings of colony foundresses impede the evolution of specialization. Overall, our model sheds light on the importance of considering the interaction between specific mechanisms and ecological requirements to better understand the evolutionary scenarios that lead to division of labor in complex systems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00265-012-1343-2) contains supplementary material, which is available to authorized users.

Monthly Labor Force Data, December 2013

Monthly Labor Force Data report produced by the Iowa Workforce Development.

Monthly Labor Force Data, January 2014

Monthly Labor Force Data report produced by the Iowa Workforce Development.

Monthly Labor Force Data, March 2014

Monthly Labor Force Data report produced by the Iowa Workforce Development.

Monthly Labor Force Data, April 2014

Monthly Labor Force Data report produced by the Iowa Workforce Development.

Monthly Labor Force Data, May 2014

Monthly Labor Force Data report produced by the Iowa Workforce Development.

Monthly Labor Force Data, June 2014

Monthly Labor Force Data report produced by the Iowa Workforce Development.

Monthly Labor Force Data, August 2014

Monthly Labor Force Data report produced by the Iowa Workforce Development.