English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/187237
Share/Impact:
Statistics
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Title

Bumblebees learn foraging routes through exploitation-exploration cycles

AuthorsKembro, Jackelyn M.; Lihoreau, Mathieu; Garriga, Joan ; Raposo. E. P.; Bartumeus, Frederic
KeywordsMovement ecology
Exploration–exploitation trade-off
Trapline foraging
Bumblebees
t-Stochastic Neighbouring Embedding
Issue Date2019
PublisherThe Royal Society
CitationInterface 16: 20190103 (2019)
AbstractHow animals explore and acquire knowledge from the environment is a key question in movement ecology. For pollinators that feed on multiple small replenishing nectar resources, the challenge is to learn efficient foraging routes while dynamically acquiring spatial information about new resource locations. Here, we use the behavioural mapping t-Stochastic Neighbouring Embedding algorithm and Shannon entropy to statistically analyse previously published sampling patterns of bumblebees feeding on artificial flowers in the field. We showthat bumblebeesmodulate foraging excursions into distinctive behavioural strategies, characterizing the trade-off dynamics between (i) visiting and exploiting flowers close to the nest, (ii) searching for new routes and resources, and (iii) exploiting learned flower visitation sequences. Experienced bees combine these behavioural strategies even after they find an optimal route minimizing travel distances between flowers. This behavioural variability may help balancing energycosts–benefits and facilitate rapidadaptationto changing environments and the integration of more profitable resources in their routes.
DescriptionEste artículo contiene 12 páginas, 4 figuras, 2 tablas.
Publisher version (URL)http://dx.doi.org/10.1098/rsif.2019.0103
URIhttp://hdl.handle.net/10261/187237
ISSN1742-5689
E-ISSN1742-5662
Appears in Collections:(CEAB) Artículos
Files in This Item:
File Description SizeFormat 
bartumeus 2019.pdf1,06 MBAdobe PDFView/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.