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Effects of temperature on the movement and feeding behaviour of the large lupine beetle, Sitona gressorius
Journal of Pest Science ( IF 4.3 ) Pub Date : 2022-05-18 , DOI: 10.1007/s10340-022-01510-7
Sara Hannigan , Claas Nendel , Marcos Krull

Even though the effects of insect pests on global agricultural productivity are well recognised, little is known about movement and dispersal of many species, especially in the context of global warming. This work evaluates how temperature and light conditions affect different movement metrics and the feeding rate of the large lupine beetle, an agricultural pest responsible for widespread damage in leguminous crops. By using video recordings, the movement of 384 beetles was digitally analysed under six different temperatures and light conditions in the laboratory. Bayesian linear mixed-effect models were used to analyse the data. Furthermore, the effects of temperature on the daily diffusion coefficient of beetles were estimated by using hidden Markov models and random walk simulations. Results of this work show that temperature, light conditions, and beetles’ weight were the main factors affecting the flight probability, displacement, time being active and the speed of beetles. Significant variations were also observed in all evaluated metrics. On average, beetles exposed to light conditions and higher temperatures had higher mean speed and flight probability. However, beetles tended to stay more active at higher temperatures and less active at intermediate temperatures, around 20 °C. Therefore, both the diffusion coefficient and displacement of beetles were lower at intermediate temperatures. These results show that the movement behaviour and feeding rates of beetles can present different relationships in the function of temperature. It also shows that using a single diffusion coefficient for insects in spatially explicit models may lead to over- or underestimation of pest spread.



中文翻译:

温度对大型羽扇豆甲虫 Sitona gressorius 运动和摄食行为的影响

尽管害虫对全球农业生产力的影响已得到充分认识,但人们对许多物种的移动和扩散知之甚少,尤其是在全球变暖的背景下。这项工作评估了温度和光照条件如何影响不同的运动指标和大型羽扇豆甲虫的进食率一种造成豆科作物广泛受损的农业害虫。通过使用视频记录,在实验室的六种不同温度和光照条件下,对 384 只甲虫的运动进行了数字分析。使用贝叶斯线性混合效应模型分析数据。此外,通过使用隐马尔可夫模型和随机游走模拟,估算了温度对甲虫每日扩散系数的影响。这项工作的结果表明,温度、光照条件和甲虫重量是影响甲虫飞行概率、位移、活动时间和速度的主要因素。在所有评估指标中也观察到显着变化。平均而言,暴露在光照条件和较高温度下的甲虫具有较高的平均速度和飞行概率。然而,甲虫往往在较高温度下更活跃,而在 20 °C 左右的中等温度下则不太活跃。因此,甲虫的扩散系数和位移在中间温度下都较低。这些结果表明,甲虫的运动行为和摄食率在温度的函数中可以呈现出不同的关系。它还表明,在空间显式模型中对昆虫使用单一扩散系数可能会导致高估或低估害虫传播。这些结果表明,甲虫的运动行为和摄食率在温度的函数中可以呈现出不同的关系。它还表明,在空间显式模型中对昆虫使用单一扩散系数可能会导致高估或低估害虫传播。这些结果表明,甲虫的运动行为和摄食率在温度的函数中可以呈现出不同的关系。它还表明,在空间显式模型中对昆虫使用单一扩散系数可能会导致高估或低估害虫传播。

更新日期:2022-05-18
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