Publication Date:
2018
Abstract:
Honey bee colonies are fundamental for the provision of goods and ecosystem services. Honey bees are highly influenced by environmental conditions and quality, beekeepers’ management practices, socio-economic conditions and policies adopted for cropping and land use. We propose a modelling framework aiming at assessing the bee health status and forecast colony outputs. Two modelling tools are here presented: (i) a Health Status Index (HSI) exploring the consequences of abiotic, biotic drivers and beekeeping actions on bee health; and (ii) predictive models for the estimation of honey production and the provision of pollination service considering abiotic, biotic drivers and HSI. The models proposed represent useful tools for science-based decision support for beekeepers, risk managers and policy-makers.
CRIS type:
2.1 Contributo in volume (Capitolo o Saggio)
Keywords:
Health Status Index, predictive model, decision support systems, structural equation models, knowledge-based systems, honey bees, beekeeping
List of contributors:
Gilioli, Gianni; Simonetto, Anna; Hatjina, Fani; Sperandio, Giorgio
Book title:
IFAC-PAPERSONLINE
Published in: