The cultivated strawberry Fragaria ananassa Duch. is widely planted in greenhouses in China. Its production heavily depends on pollination services. Compared with artificial pollination, bee pollination can significantly improve fruit quality and save considerable labor requirement. Multiple factors such as bee foraging behavior, planting pattern and the spatial complexity of the greenhouse environment interacting over time and space are major obstacles to understanding of bee pollination dynamics. We propose a spatially-explicit agent-based simulation model which allows users to explore how various factors including bee foraging behavior and strawberry phenology conditions as well as the greenhouse environment influence pollination efficiency and fruit quality. Simulation experiments allowed us to compare pollination efficiencies in different conditions. Especially, the cause of bee pollination advantage, optimal bee density and bee hive location were discussed based on sensitivity analysis. In addition, simulation results provide some insights for strawberry planting in a greenhouse. The firmly validated open-source model is a useful tool for hypothesis testing and theory development for strawberry pollination research.
翻译:种植的草莓Fragaria anasanassa Duch. 广泛种植在中国的温室中,其生产严重依赖授粉服务。与人工授粉相比,蜜蜂授粉可以显著提高果质,节省大量劳动力需求。蜜蜂生长行为、种植模式和温室环境空间复杂性等多种因素是了解蜜蜂授粉动态的主要障碍。我们提议了一个基于空间的基于空间的代理物模拟模型,使用户能够探索各种因素,包括蜂蜜施用行为和草莓植物条件以及温室环境如何影响授粉效率和水果质量。模拟实验使我们能够比较不同条件下的授粉效率。特别是,根据敏感性分析,讨论了蜜蜂授粉优势、最佳蜜密度和蜜蜂栖栖地位置等多种因素。此外,模拟结果为在温室中种植草莓提供了一些见解。经过严格验证的开放源模型是草莓授粉研究的假设测试和理论发展的有用工具。