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High accuracy monitoring of honey bee colony development by a quantitative method

2023Artigo científico Acesso aberto
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dc.contributor.authorCapela, Nuno
dc.contributor.authorDupont, Yoko L.
dc.contributor.authorRortais, Agnès
dc.contributor.authorSarmento, Artur
dc.contributor.authorPapanikolaou, Alexandra
dc.contributor.authorTopping, Christopher J.
dc.contributor.authorArnold, Gérard
dc.contributor.authorPinto, M. Alice
dc.contributor.authorRodrigues, Pedro J.
dc.contributor.authorMore, Simon J.
dc.contributor.authorTosi, Simone
dc.contributor.authorAlves, Thiago da Silva
dc.contributor.authorSousa, José Paulo
dc.date.accessioned2023-02-20T16:02:20Z
dc.date.available2023-02-20T16:02:20Z
dc.date.issued2023
dc.description.abstractHoney bees are key insect pollinators, providing important economic and ecological value for human beings and ecosystems. This has triggered the development of several monitoring methods for assessing the temporal development of colony size, food storage, brood and pathogens. Nonetheless, most of these methods are based on visual assessments that are observer-dependent and prone to bias. Furthermore, the impact on colony development (invasiveness), as well as accuracy, were rarely considered when implementing new methods. In this study, we present and test a novel accurate and observer-independent method for honey bee colony assessment, capable of being fully standardized. Honey bee colony size is quantified by assessing the weight of adult bees, while brood and provision are assessed by taking photos and conducting image analysis of the combs with the image analysis software DeepbeeVR . The invasiveness and accuracy of the method were investigated using field data from two experimental apiaries in Portugal, comparing results from test and control colonies. At the end of each field experiment, most of the tested colonies had the same colony size, brood levels and honey production as the control colonies. Nonetheless, continuous weight data indicated some disturbance in tested colonies in the first year of monitoring. The overall accuracy of the image analysis software was improved by training, indicating that it is possible to adapt the software to local conditions. We conclude that the use of this fully quantitative method offers a more accurate alternative to classic visual colony assessments, with negligible impact on colony development.pt_PT
dc.description.sponsorshipThis work was supported by European Food Safety Authority under grant OC/EFSA/SCER/2017/02; FCT provided financial support by national funds (FCT/MCTES) to CFE (UIDB/04004/2020) and CIMO (UIDB/00690/2020); NC was financed by FCT under PhD grant SFRH/BD/133352/2017; YLD by DCE (Danish Centre for Environment and Energy) under grant 21628-82105.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCapela, Nuno; Dupont, Yoko L.; Rortais, Agnès; Sarmento, Artur; Papanikolaou, Alexandra; Topping, Christopher J.; Arnold, Gérard; Pinto, M. Alice; Rodrigues, Pedro J.; More, Simon J.; Tosi, Simone; Alves, Thiago S.; Sousa, José Paulo (2023). High accuracy monitoring of honey bee colony development by a quantitative method. Journal of Apicultural Research. ISSN 0021-8839. 62:4, p. 741-750pt_PT
dc.identifier.doi10.1080/00218839.2022.2098899pt_PT
dc.identifier.issn0021-8839
dc.identifier.urihttp://hdl.handle.net/10198/27070
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherTaylor & Francispt_PT
dc.relationCentre for Functional Ecology - Science for People & the Planet
dc.relationMountain Research Center
dc.relationThe impact of landscape composition and disposition on honeybee colonies development in agricultural areas – a multifactorial approach
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectApis melliferapt_PT
dc.subjectColony strengthpt_PT
dc.subjectColony sizept_PT
dc.subjectBrood developmentpt_PT
dc.subjectColony monitoringpt_PT
dc.titleHigh accuracy monitoring of honey bee colony development by a quantitative methodpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre for Functional Ecology - Science for People & the Planet
oaire.awardTitleMountain Research Center
oaire.awardTitleThe impact of landscape composition and disposition on honeybee colonies development in agricultural areas – a multifactorial approach
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04004%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/POR_CENTRO/SFRH%2FBD%2F133352%2F2017/PT
oaire.citation.endPage10pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleJournal of Apicultural Researchpt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamPOR_CENTRO
person.familyNamePinto
person.givenNameM. Alice
person.identifier.ciencia-idF814-A1D0-8318
person.identifier.orcid0000-0001-9663-8399
person.identifier.scopus-author-id8085507800
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0667fe04-7078-483d-9198-56d167b19bc5
relation.isAuthorOfPublication.latestForDiscovery0667fe04-7078-483d-9198-56d167b19bc5
relation.isProjectOfPublication6cf9a4f1-84ee-49a2-8e90-f4d7435b870b
relation.isProjectOfPublication29718e93-4989-42bb-bcbc-4daff3870b25
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