Artículos de revistas
Bee, hummingbird or mixed pollinated Salvia species mirror pathways to pollination optimization: a morphometric analysis based on the Pareto front concept
Fecha
2016-09Registro en:
Strelin, Marina Micaela; Sazatornil, Federico David; Benitez-Vieyra, Santiago Miguel; Ordano, Mariano Andrés; Bee, hummingbird or mixed pollinated Salvia species mirror pathways to pollination optimization: a morphometric analysis based on the Pareto front concept; National Research Council Canada-NRC Research Press; Botany; 95; 2; 9-2016; 139-146
1916-2790
1916-2804
CONICET Digital
CONICET
Autor
Strelin, Marina Micaela
Sazatornil, Federico David
Benitez-Vieyra, Santiago Miguel
Ordano, Mariano Andrés
Resumen
Optimization of flower phenotypes to ensure pollination by agents differing in their match with fertile flower structures can involve fitness trade-offs if the aspects of the phenotype that enhance the fitness contribution of one pollinator are detrimental for pollination by the other agents. If these trade-offs are substantial, flower optimization for specialized pollination is expected. However, optimization for generalized pollination may also take place in trade-off scenarios, as long as the joint contribution of two or more types of pollinators to global pollination fitness is greater than each individual contribution. We use an observational approach to evaluate the role of pollination fitness trade-offs in flower trait optimization, a matter seldom addressed because of the difficulties in conducting experiments. A pattern searching tool based on the Pareto front concept, borrowed from the fields of economics and engineering, was used to test for fitness trade-off patterns in the flower shape of four Salvia (Lamiaceae) species. Two are pollinated exclusively either by bees or by hummingbirds; the remaining present mixed pollination systems, with varying contributions of bee and hummingbird pollination. The patterning of flower shape in this study suggests a bee-hummingbird pollination trade-off in Salvia and the optimization of generalized flower shapes.