ORCID Profile
0000-0001-6013-5490
Current Organisation
University of Sydney
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Publisher: American Physical Society (APS)
Date: 30-11-2021
Publisher: Author(s)
Date: 2017
DOI: 10.1063/1.4985552
Publisher: Public Library of Science (PLoS)
Date: 03-2023
DOI: 10.1371/JOURNAL.PCBI.1010880
Abstract: A quantitative understanding of the dynamics of bee colonies is important to support global efforts to improve bee health and enhance pollination services. Traditional approaches focus either on theoretical models or data-centred statistical analyses. Here we argue that the combination of these two approaches is essential to obtain interpretable information on the state of bee colonies and show how this can be achieved in the case of time series of intra-day weight variation. We model how the foraging and food processing activities of bees affect global hive weight through a set of ordinary differential equations and show how to estimate the parameters of this model from measurements on a single day. Our analysis of 10 hives at different times shows that the estimation of crucial indicators of the health of honey bee colonies are statistically reliable and fall in ranges compatible with previously reported results. The crucial indicators, which include the amount of food collected (foraging success) and the number of active foragers, may be used to develop early warning indicators of colony failure.
Publisher: American Physical Society (APS)
Date: 03-07-2018
Publisher: American Physical Society (APS)
Date: 28-06-2019
Publisher: Elsevier BV
Date: 04-2021
Location: Peru
No related grants have been discovered for Karina Arias Calluari.