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.

Multi-dimensional modelling tools supporting decision-making for the beekeeping sector

Gilioli, Gianni;Simonetto, Anna
;
Sperandio, Giorgio
2018-01-01

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.
2018
Ateneo di appartenenza
IFAC-PAPERSONLINE
LS8_2 Population biology, population dynamics, population genetics, plant-animal interactions
LS8_1 Ecology (theoretical, community, population, microbial, evolutionary ecology)
LS9_5 Agriculture related to crop production, soil biology and cultivation, applied plant biology
Esperti anonimi
Inglese
Internazionale
ELETTRONICO
51
144
149
6
Health Status Index, predictive model, decision support systems, structural equation models, knowledge-based systems, honey bees, beekeeping
Nessuno
https://www.sciencedirect.com/science/article/pii/S2405896318305226
2 Contributo in Volume::2.1 Contributo in volume (Capitolo o Saggio)
4
268
open
Gilioli, Gianni; Simonetto, Anna; Hatjina, Fani; Sperandio, Giorgio
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/509098
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