| Recently, bee health in China is confronted with great threats, bee pest is a key factor affecting it. This study on Tropilaelaps spp., a main pest affecting bee health, provides a risk assessment technology of it, and improve the development of the pest risk assessment theory. Based on the risk assessment technology, we got effective measure of infection rate of Tropilaelaps spp. in bee experiment sites, satisfying bee experiment sites’ demand on risk assessment and improving the steady development of bee industry and the sustainable development of ecosystem. The study achievement is as follows:(1) Study on quantitative assessment based on climatic comparability. Based on climatic data from national weather website, we use Mahalanobis distance and Euclidean distance to respectively calculate climatic comparability distance between 672 target areas and Tropilaelaps spp. outbreak areas and assess the Tropilaelaps spp.’s suitability in target areas. Besides, we study Tropilaelaps spp.’s suitability in bee experiment sites.(2) Study on quantitative assessment based on two-way ANOVA. Based on climatic comparability distance, regarding seasons and districts as factors, we developed a two-way ANOVA, which accessed whether a significant difference exists in Tropilaelaps spp.’s suitability of different seasons and districts. Besides, we explored temporal and spatial distribution of Tropilaelaps spp..(3) Study on using MATLAB and GIS to draw a risk map. Associated with climatic comparability distance of target areas and criteria for classification of climatic comparability, we use MATLAB to draw risk map of Tropilaelaps spp. monthly. Besides, we use GIS to optimize risk maps based on K-nearest-neighbor interpolation.(4) Establishment of bee pest monitoring and risk assessment system. Based on.NET Framework platform, we developed bee pest monitoring and risk assessment system, which provides comprehensive information services. Besides, we applied it to bee experiment sites and got good response. |
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