Artículo

Branching angles reflect a trade-off between reducing trail maintenance costs or travel distances in leaf-cutting ants

Farji Brener, Alejandro Gustavo Icon; Chinchilla, Federico ; Umaña, Maria Natalia ; Ocasio Torres, Maria Elena ; Chauta Mellizo, Alexander ; Acosta Rojas, Diana ; Marinaro Fuentes, María Sofía Icon; de Torres Curth, Monica Irma ; Amador Vargas, Sabrina

Otros responsables

Fecha

02/2015

Editorial

Ecological Society Of America

Revista

Ecology

Título del libro

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Fecha del evento

Institución organizadora

ISSN

0012-9658

eISSN

ISBN

Idioma

Inglés

Tipo del evento

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 differed depending on the location of the nests. Ant colonies in open areas showed more acute branching angles, which 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. The trail pattern evident in forests may be attributable to huge amounts of litterfall that increase 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 trade-off between reducing maintenance work and shortening travel distances, illustrating how animal constructions can adjust to diverse environmental conditions. This idea may help to understand diverse networks systems, including urban travel networks.

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