Bumblebees learn foraging routes through exploitation-exploration cycles

Autores
Kembro, Jackelyn Melissa; Lihoreau, Mathieu; Garriga, Joan; Raposo, Ernesto P.; Bartumeus, Frederic
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
How 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.
Fil: Kembro, Jackelyn Melissa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina
Fil: Lihoreau, Mathieu. Université Paul Sabatier; Francia
Fil: Garriga, Joan. Centro de Estudios Avanzados de Blanes; España
Fil: Raposo, Ernesto P.. Universidade Federal de Pernambuco; Brasil
Fil: Bartumeus, Frederic. Centro de Estudios Avanzados de Blanes; España. Consejo Superior de Investigaciones Científicas. Centre de Recerca Ecológica I Aplicacions Forestals; España. Institució Catalana de Recerca i Estudis Avancats; España
Materia
BUMBLEBEES
EXPLORATION-EXPLOITATION TRADE-OFF
MOVEMENT ECOLOGY
T-STOCHASTIC NEIGHBOURING EMBEDDING
TRAPLINE FORAGING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/100043
Acceder
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spelling Bumblebees learn foraging routes through exploitation-exploration cyclesKembro, Jackelyn MelissaLihoreau, MathieuGarriga, JoanRaposo, Ernesto P.Bartumeus, FredericBUMBLEBEESEXPLORATION-EXPLOITATION TRADE-OFFMOVEMENT ECOLOGYT-STOCHASTIC NEIGHBOURING EMBEDDINGTRAPLINE FORAGINGhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1How 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.Fil: Kembro, Jackelyn Melissa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; ArgentinaFil: Lihoreau, Mathieu. Université Paul Sabatier; FranciaFil: Garriga, Joan. Centro de Estudios Avanzados de Blanes; EspañaFil: Raposo, Ernesto P.. Universidade Federal de Pernambuco; BrasilFil: Bartumeus, Frederic. Centro de Estudios Avanzados de Blanes; España. Consejo Superior de Investigaciones Científicas. Centre de Recerca Ecológica I Aplicacions Forestals; España. Institució Catalana de Recerca i Estudis Avancats; EspañaThe Royal Society2019-07-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/100043Kembro, Jackelyn Melissa; Lihoreau, Mathieu; Garriga, Joan; Raposo, Ernesto P.; Bartumeus, Frederic; Bumblebees learn foraging routes through exploitation-exploration cycles; The Royal Society; Journal of the Royal Society Interface; 16; 156; 10-7-2019; 1-121742-56891742-5662CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://royalsocietypublishing.org/doi/10.1098/rsif.2019.010info:eu-repo/semantics/altIdentifier/doi/10.1098/rsif.2019.0103info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:09:53Zoai:ri.conicet.gov.ar:11336/100043instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:09:53.505CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Bumblebees learn foraging routes through exploitation-exploration cycles
title Bumblebees learn foraging routes through exploitation-exploration cycles
spellingShingle Bumblebees learn foraging routes through exploitation-exploration cycles
Kembro, Jackelyn Melissa
BUMBLEBEES
EXPLORATION-EXPLOITATION TRADE-OFF
MOVEMENT ECOLOGY
T-STOCHASTIC NEIGHBOURING EMBEDDING
TRAPLINE FORAGING
title_short Bumblebees learn foraging routes through exploitation-exploration cycles
title_full Bumblebees learn foraging routes through exploitation-exploration cycles
title_fullStr Bumblebees learn foraging routes through exploitation-exploration cycles
title_full_unstemmed Bumblebees learn foraging routes through exploitation-exploration cycles
title_sort Bumblebees learn foraging routes through exploitation-exploration cycles
dc.creator.none.fl_str_mv Kembro, Jackelyn Melissa
Lihoreau, Mathieu
Garriga, Joan
Raposo, Ernesto P.
Bartumeus, Frederic
author Kembro, Jackelyn Melissa
author_facet Kembro, Jackelyn Melissa
Lihoreau, Mathieu
Garriga, Joan
Raposo, Ernesto P.
Bartumeus, Frederic
author_role author
author2 Lihoreau, Mathieu
Garriga, Joan
Raposo, Ernesto P.
Bartumeus, Frederic
author2_role author
author
author
author
dc.subject.none.fl_str_mv BUMBLEBEES
EXPLORATION-EXPLOITATION TRADE-OFF
MOVEMENT ECOLOGY
T-STOCHASTIC NEIGHBOURING EMBEDDING
TRAPLINE FORAGING
topic BUMBLEBEES
EXPLORATION-EXPLOITATION TRADE-OFF
MOVEMENT ECOLOGY
T-STOCHASTIC NEIGHBOURING EMBEDDING
TRAPLINE FORAGING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv How 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.
Fil: Kembro, Jackelyn Melissa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina
Fil: Lihoreau, Mathieu. Université Paul Sabatier; Francia
Fil: Garriga, Joan. Centro de Estudios Avanzados de Blanes; España
Fil: Raposo, Ernesto P.. Universidade Federal de Pernambuco; Brasil
Fil: Bartumeus, Frederic. Centro de Estudios Avanzados de Blanes; España. Consejo Superior de Investigaciones Científicas. Centre de Recerca Ecológica I Aplicacions Forestals; España. Institució Catalana de Recerca i Estudis Avancats; España
description How 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.
publishDate 2019
dc.date.none.fl_str_mv 2019-07-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/100043
Kembro, Jackelyn Melissa; Lihoreau, Mathieu; Garriga, Joan; Raposo, Ernesto P.; Bartumeus, Frederic; Bumblebees learn foraging routes through exploitation-exploration cycles; The Royal Society; Journal of the Royal Society Interface; 16; 156; 10-7-2019; 1-12
1742-5689
1742-5662
CONICET Digital
CONICET
url http://hdl.handle.net/11336/100043
identifier_str_mv Kembro, Jackelyn Melissa; Lihoreau, Mathieu; Garriga, Joan; Raposo, Ernesto P.; Bartumeus, Frederic; Bumblebees learn foraging routes through exploitation-exploration cycles; The Royal Society; Journal of the Royal Society Interface; 16; 156; 10-7-2019; 1-12
1742-5689
1742-5662
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://royalsocietypublishing.org/doi/10.1098/rsif.2019.010
info:eu-repo/semantics/altIdentifier/doi/10.1098/rsif.2019.0103
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv The Royal Society
publisher.none.fl_str_mv The Royal Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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