文章基本信息

标题：Multi-dimensional modelling tools supporting decision-making for the beekeeping sector
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作者：Gianni Gilioli ; Anna Simonetto ; Fani Hatjina 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：5
页码：144-149
DOI：10.1016/j.ifacol.2018.06.225
语种：English
出版社：Elsevier
摘要：AbstractHoney 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 policymakers.
关键词：KeywordsHealth Status Indexpredictive modeldecision support systemsstructural equation modelsknowledge-based systemshoney beesbeekeeping