Panmictic and Clonal Evolution on a Single Patchy Resource Produces Polymorphic Foraging Guilds

摘要: We develop a stochastic, agent-based model to study how genetic traits and experiential changes in the state of agents available resources influence individuals' foraging movement behaviors. These behaviors are manifest as decisions on when stay exploit current resource patch or move particular neighboring patch, based information qualities patches anticipated level intraspecific competition within patches. use algorithm approach an individual's biomass fitness surrogate explore strategy diversity evolving guilds under clonal versus hermaphroditic sexual reproduction. first present exploitation processes, cellular arrays, components model. then discuss their implementation Nova software platform. This platform seamlessly combines dynamical systems modeling consumer-resource interactions with individuals moving over landscapes, using architecture that lays transparent following four hierarchical simulation levels: 1.) within-patch dynamics, 2.) within-generation mitigation 3.) across-generation evolutionary 4.) multiple runs generate statistics needed for comparative analyses. The focus our analysis is question production efficiency types, exploiting patchy landscape, evolve random Our results indicate greater reproduction only at higher population densities, demonstrate polymorphisms maintained mating systems. latter result questions notion some type associative structure maintain among common otherwise spatially homogeneous landscape.