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  1. Pubblicazioni

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

Capitolo di libro
Data di Pubblicazione:
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.
Tipologia CRIS:
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
Elenco autori:
Gilioli, Gianni; Simonetto, Anna; Hatjina, Fani; Sperandio, Giorgio
Autori di Ateneo:
Agrofood Lab
GILIOLI Gianni
SIMONETTO Anna
Link alla scheda completa:
https://iris.unibs.it/handle/11379/509098
Link al Full Text:
https://iris.unibs.it/retrieve/handle/11379/509098/88428/Gilioli%20(2018)%20-%20Multi-dimensional%20modelling%20tools%20supporting%20decision-making%20for%20the%20beekeeping%20sector.pdf
Titolo del libro:
IFAC-PAPERSONLINE
Pubblicato in:
IFAC-PAPERSONLINE
Journal
IFAC-PAPERSONLINE
Series
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