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- All Subjects: honey bee
- All Subjects: Social Insects
- Creators: Pratt, Stephen
Much like neighboring nations, living in close proximity can often lead to conflict over limited resources for social insect colonies. As with warring nations, conflicts among insect societies can also result in one colony attempting to invade the other. Though emigrations are common and well understood in social insects, the process of emigration in the context of conflict is not known. During emigrations of the ant Temnothorax rugatulus, colonies first employ the use of scouts, who search for new nest locations. These scouts then recruit naïve workers to these nests resulting in a ‘voting’ process through which colonies can collectively choose the best nest site. Once the decision is made, the selected nest is rapidly populated by workers who physically carry the queen(s), brood, and remaining naïve ants to the new nest. Invasions occurring during inter-colony conflicts bear a striking resemblance to this process. The state of the final nest suggested merged colonies, and statistical models were used to test for the likelihood of this. Here we test whether colonies of T. rugatulus use the same mechanisms during invasions as those used in emigrations by observing conflicts between colonies of T. rugatulus ants and tracking instances of scouting and recruitment, transport and changes in populations in each nest. Our results support the predicted order of behaviors starting with scouting, followed by recruitment and transport last. In addition, presence of the quorum rule, which determines the switch from recruitment to transport, is confirmed. Furthermore, evidence showed that the colonies were merged at the time of transport. While ant emigration patterns are well understood, there is a gap in understanding conflict driven emigrations/invasions. Our results serve to better understand conflict in social insects by further understanding the mechanisms used during conflicts.
criteria of scientific knowledge are up for grabs. A central issue is the status of evolutionary genetics models, which some argue cannot coherently be used with complex gene regulatory network (GRN) models to explain the same evolutionary phenomena. Despite those claims, many researchers use evolutionary genetics models jointly with GRN models to study evolutionary phenomena.
How do those researchers deploy those two kinds of models so that they are consistent and compatible with each other? To address that question, this dissertation closely examines, dissects, and compares two recent research projects in which researchers jointly use the two kinds of models. To identify, select, reconstruct, describe, and compare those cases, I use methods from the empirical social sciences, such as digital corpus analysis, content analysis, and structured case analysis.
From those analyses, I infer three primary conclusions about projects of the kind studied. First, they employ an implicit concept of gene that enables the joint use of both kinds of models. Second, they pursue more epistemic aims besides mechanistic explanation of phenomena. Third, they don’t work to create and export broad synthesized theories. Rather, they focus on phenomena too complex to be understood by a common general theory, they distinguish parts of the phenomena, and they apply models from different theories to the different parts. For such projects, seemingly incompatible models are synthesized largely through mediated representations of complex phenomena.
The dissertation closes by proposing how developmental evolution, a field traditionally focused on macroevolution, might fruitfully expand its research agenda to include projects that study microevolution.