INVESTIGADORES
MARINARO FUENTES Maria Sofia
artículos
Título:
Foraging trails as an extended phenotype: branching angles reflect a tradeoff between reducing trail maintenance work and shortening travel distances in leaf-cutting ants
Autor/es:
ALEJANDRO GUSTAVO FARJI-BRENER; FEDERICO CHINCHILLA; MARÍA NATALIA UMAÑA; MARÍA ELENA OCASIO TORRES; ALEXANDER CHAUTA MELLIZO; DIANA ACOSTA ROJAS; SOFÍA MARINARO; MÓNICA DE TORRES CURTH; SABRINA AMADOR-VARGAS
Revista:
ECOLOGY
Editorial:
ECOLOGICAL SOC AMER
Referencias:
Año: 2015 vol. 96 p. 510 - 517
ISSN:
0012-9658
Resumen:
The design of transport paths in consuming entities that use routes to access food should be under strong selective pressures to reduce costs and increase benefits. We studied the adaptive nature of branching angles in foraging trail networks of the two most abundant tropical leaf-cutting ant species. We mathematically assessed how these angles should reflect the relative weight of the pressure for reducing either trail maintenance effort or traveling distances. Bifurcation angles of ant foraging trails strongly differ depending on the location of the nests. Ant colonies in open areas showed more acute branching angles that best shorten travel distances but create longer new trail sections to maintain than a perpendicular branch, suggesting that trail maintenance costs are smaller compared to the benefit of reduced traveling distance. Conversely, ant colonies in forest showed less acute branching angles indicating that maintenance costs are of larger importance relative to the benefits of shortening travel distances. This pattern in forest may be attributable to huge amounts of litter fall that increases trail maintenance costs, and the abundant canopy cover that reduces traveling costs by mitigating direct sunlight and rain. These results suggest that branching angles represent a tradeoff between reducing maintenance work and shortening travel distances, illustrating how animal constructions can adjust to diverse environmental conditions. This idea may help understand diverse networks systems, including urban travel networks.