Abstract In the current work, we correlate previously reported data for stored-product beetle populations in three silos from Central Greece, with the respective grain moisture content, temperature and bulk density. The insect numbers were obtained by the use of grain trier samples, and grouped in three zones, the central zone, the median zone and the edge zone, corresponding to the areas close to the center of the bulk, the intermediate area and the peripheral area, close to the walls. On each sampling date and location, there were measurements of moisture content, temperature and bulk density. In general, despite variations among silos, the central zone was warmer, drier and had lower bulk density levels than the other zones. Moreover, the previously reported data for beetle populations indicated that more insects were found in the central zone. Moisture content, temperature and bulk density were well correlated, but none of these parameters were correlated well with insect numbers. The results of the present work suggest that there are simultaneous and associated changes with these three parameters during the storage period, but these changes cannot be used accurately as predictors of insect infestation patterns and distribution. Hence, using these factors as insect density predictors is a complex phenomenon with multiple interactions with stored product insect biological and behavioral parameters.

中文翻译：

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小麦筒仓粮食特性及昆虫分布趋势

摘要 在目前的工作中，我们将先前报道的希腊中部三个筒仓中贮藏甲虫种群的数据与各自的谷物水分含量、温度和堆积密度相关联。昆虫数量是通过使用谷物试验机样品获得的，并分为三个区域，中心区域，中间区域和边缘区域，对应于靠近大块中心的区域，中间区域和外围区域，靠近墙壁。在每个采样日期和地点，都会测量水分含量、温度和堆积密度。总的来说，尽管筒仓之间存在差异，但中央区域比其他区域更温暖、更干燥并且堆积密度水平更低。此外，之前报道的甲虫种群数据表明，在中心区域发现了更多的昆虫。水分含量、温度和体积密度具有很好的相关性，但这些参数都与昆虫数量没有很好的相关性。目前的工作结果表明，在储存期间这三个参数同时发生和相关的变化，但这些变化不能准确地用作昆虫侵扰模式和分布的预测指标。因此，使用这些因素作为昆虫密度预测因子是一个复杂的现象，与储存的产品昆虫生物和行为参数有多重相互作用。但这些变化不能准确地用作昆虫侵扰模式和分布的预测指标。因此，使用这些因素作为昆虫密度预测因子是一个复杂的现象，与储存的产品昆虫生物和行为参数有多重相互作用。但这些变化不能准确地用作昆虫侵扰模式和分布的预测指标。因此，使用这些因素作为昆虫密度预测因子是一个复杂的现象，与储存的产品昆虫生物和行为参数有多重相互作用。