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dc.contributor.author
Grüter, Christoph
dc.contributor.author
Schürch, Roger
dc.contributor.author
Farina, Walter Marcelo
dc.date.available
2017-07-11T19:14:28Z
dc.date.issued
2013-02
dc.identifier.citation
Grüter, Christoph; Schürch, Roger; Farina, Walter Marcelo; Task-partitioning in insect societies: Non-random direct material transfers affect both colony efficiency and information flow; Elsevier; Journal of Theoretical Biology; 327; 2-2013; 23-33
dc.identifier.issn
0022-5193
dc.identifier.uri
http://hdl.handle.net/11336/20144
dc.description.abstract
Task-partitioning is an important organisational principle in insect colonies and is thought to increase colony efficiency. In task-partitioning, tasks such as the collection of resources are divided into subtasks in which the material is passed from one worker to another. Previous models have assumed that worker–worker interactions are random, but experimental evidence suggests that receivers can have preferences to handle familiar materials. We used an agent-based simulation model to explore how non-random interactions during task-partitioning with direct transfer affect colony work efficiency. Because task-partitioning also allows receivers and donors to acquire foraging related information we analysed the effect of non-random interactions on informative interaction patterns. When receivers non-randomly rejected donors offering certain materials, donors overall experienced increased time delays, hive stay durations and a decreased number of transfer partners. However, the number of transfers was slightly increased, which can improve the acquisition and quality of information for donors. When receivers were non-randomly attracted to donors offering certain materials, donors experienced reduced transfer delays, hive stay durations and an increased number of simultaneous receivers. The number of transfers is slightly decreased. The effects of the two mechanisms “non-random rejection” and “non-random attraction” are biggest if the number of foragers and receivers is balanced. In summary, our results show that colony ergonomics are improved if receivers do not reject donors and if mechanisms exist that help receivers detect potential donors, such as learning the odour of the transferred food. Finally, our simulations suggest that non-random interactions can potentially affect the foraging patterns of colonies in changing environments.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Agent-Based Model
dc.subject
Honeybee
dc.subject
Apis Mellifera
dc.subject
Olfactory Conditioning
dc.subject.classification
Zoología, Ornitología, Entomología, Etología
dc.subject.classification
Ciencias Biológicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Task-partitioning in insect societies: Non-random direct material transfers affect both colony efficiency and information flow
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-07-11T13:21:15Z
dc.journal.volume
327
dc.journal.pagination
23-33
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Grüter, Christoph. University Of Sussex; Reino Unido
dc.description.fil
Fil: Schürch, Roger. University Of Sussex; Reino Unido
dc.description.fil
Fil: Farina, Walter Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina
dc.journal.title
Journal of Theoretical Biology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jtbi.2013.02.013
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0022519313000817
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