Your browser doesn't support javascript.
loading
Behavioral variation across the days and lives of honey bees.
Smith, Michael L; Davidson, Jacob D; Wild, Benjamin; Dormagen, David M; Landgraf, Tim; Couzin, Iain D.
Afiliação
  • Smith ML; Department of Collective Behaviour, Max Planck Institute of Animal Behavior, 78464 Konstanz, Germany.
  • Davidson JD; Department of Biology, University of Konstanz, 78464 Konstanz, Germany.
  • Wild B; Centre for the Advanced Study of Collective Behaviour, University of Konstanz, 78464 Konstanz, Germany.
  • Dormagen DM; Department of Biological Sciences, Auburn University, Auburn AL 36849, USA.
  • Landgraf T; Department of Collective Behaviour, Max Planck Institute of Animal Behavior, 78464 Konstanz, Germany.
  • Couzin ID; Department of Biology, University of Konstanz, 78464 Konstanz, Germany.
iScience ; 25(9): 104842, 2022 Sep 16.
Article em En | MEDLINE | ID: mdl-36039297
In honey bee colonies, workers generally change tasks with age (from brood care, to nest work, to foraging). While these trends are well established, our understanding of how individuals distribute tasks during a day, and how individuals differ in their lifetime behavioral trajectories, is limited. Here, we use automated tracking to obtain long-term data on 4,100+ bees tracked continuously at 3 Hz, across an entire summer, and use behavioral metrics to compare behavior at different timescales. Considering single days, we describe how bees differ in space use, detection, and movement. Analyzing the behavior exhibited across their entire lives, we find consistent inter-individual differences in the movement characteristics of individuals. Bees also differ in how quickly they transition through behavioral space to ultimately become foragers, with fast-transitioning bees living the shortest lives. Our analysis framework provides a quantitative approach to describe individual behavioral variation within a colony from single days to entire lifetimes.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Estados Unidos