English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/3024
Compartir / Impacto:
Add this article to your Mendeley library MendeleyBASE
Citado 175 veces en Web of Knowledge®  |  Pub MebCentral Ver citas en PubMed Central  |  Ver citas en Google académico
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar otros formatos: Exportar EndNote (RIS)Exportar EndNote (RIS)Exportar EndNote (RIS)
Título : Helical Lévy walks: Adjusting searching statistics to resource availability in microzooplankton
Autor : Bartumeus, Frederic ; Peters, Francesc; Pueyo, Salvador; Marrasé, Cèlia; Catalán, Jordi
Palabras clave : Searching statistics
Fecha de publicación : 28-oct-2003
Editor: National Academy of Sciences (U.S.)
Citación : PNAS
Serie : Vol. 100, n. 22
Resumen: The searching trajectories of different animals can be described with a broad class of flight length (lj) distributions with P(lj)=lj-u. Theoretical studies have shown that changes in these distributions (i.e., different u values) are key to optimizing the long-term encounter statistics under certain searcher–resource scenarios. In particular, they predict the advantage of Lévy searching ( u~2) over Brownian motion (u>3) for low-prey-density scenarios. Here, we present experimental evidence of predicted optimal changes in the flight-time distribution of a predator’s walk in response to gradual density changes of its moving prey. Flight times of the dinoflagellate Oxyrrhis marina switched from an exponential to an inverse square power-law distribution when the prey (Rhodomonas sp.) decreased in abundance. Concomitantly, amplitude and frequency of the short-term helical path increased. The specific biological mechanisms involved in these searching behavioral changes are discussed. We suggest that, in a threedimensional environment, a stronger helical component combined with a Lévy walk searching strategy enhances predator’s encounter rates. Our results support the idea of universality of the statistical laws in optimal searching processes despite variations in the biological details of the organisms.
URI : http://hdl.handle.net/10261/3024
DOI: 10.1073/pnas.2137243100
Aparece en las colecciones: (CEAB) Artículos
(ICM) Artículos
Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Mostrar el registro completo

NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.