title: The rate-size trade-off structures intraspecific variation in Daphnia ambigua life history parameters.
abstract: The identification of trade-offs is necessary for understanding the evolution and maintenance of diversity. Here we employ the supply-demand (SD) body size optimization model to predict a trade-off between asymptotic body size and growth rate. We use the SD model to quantitatively predict the slope of the relationship between asymptotic body size and growth rate under high and low food regimes and then test the predictions against observations for Daphnia ambigua. Close quantitative agreement between observed and predicted slopes at both food levels lends support to the model and confirms that a 'rate-size' trade-off structures life history variation in this population. In contrast to classic life history expectations, growth and reproduction were positively correlated after controlling for the rate-size trade-off. We included 12 Daphnia clones in our study, but clone identity explained only some of the variation in life history traits. We also tested the hypothesis that growth rate would be positively related to intergenic spacer length (i.e. the growth rate hypothesis) across clones, but we found that clones with intermediate intergenic spacer lengths had larger asymptotic sizes and slower growth rates. Our results strongly support a resource-based optimization of body size following the SD model. Furthermore, because some resource allocation decisions necessarily precede others, understanding interdependent life history traits may require a more nested approach.
authors: Yale University, Department of Ecology and Evolutionary Biology, New Haven, Connecticut, United States of America.
authors: John P
authors: JP
authors: DeLong
authors: Torrance C
authors: TC
authors: Hanley
mesh_terms: D000825:Animal Structures / Q000033:anatomy & histology / Q000502:physiology; D000818:Animals; D005075:Biological Evolution; D049628:Body Size / Q000502:physiology*; D003621:Daphnia / Q000033:anatomy & histology / Q000502:physiology; D008954:Models, Biological