Sporadic short temperature events cannot be neglected in predicting impacts of climate change on small insects

文献类型： 外文期刊

第一作者： Zhu, Liang

作者： Zhu, Liang;Wang, Lin;Ma, Chun-Sen;Zhu, Liang

作者机构：

关键词： Sitobion avenae; Extreme climate event; Heat recovery; Fluctuating temperature; Heat wave; Mild temperature

期刊名称：JOURNAL OF INSECT PHYSIOLOGY （ 影响因子：2.354； 五年影响因子：3.045 ）

ISSN： 0022-1910

年卷期： 2019 年 112 卷

页码：

收录情况： SCI

摘要： Climate warming is characterized by increase in extreme heat events (EHEs). EHEs and mild temperature periods alternate with each other and form complex climate scenarios. Among these scenarios, low-frequency and short-duration extreme heat events during long mild periods (sporadic short EHEs) and low-frequency and short-duration mild periods during long extreme heat events (sporadic short mild periods) commonly occur in nature. The biological effects of these two types of temperature events have not been thoroughly elucidated to date. To clarify the biological effects of these temperature events on organisms, we selected the English grain aphid, a globally important cereal pest, as our model system. We exposed aphids to simulated 24-h diurnal fluctuating temperatures, inserted these events during the wheat growing season and then investigated development, adult longevity, fecundity, survival, and demographic parameters. We found that sporadic short mild periods during a long EHE could improve their life history traits. Increasing the duration of mild periods from 1 day to 2 days did not significantly change their demographic performance. Sporadic short EHEs during a long mild period did not significantly affect vital rates, while increasing the duration of EHEs from 1 day to 2 days worsened the aphids' performance. We found that short mild episodes in the hot season may benefit small insects to buffer long duration heatwaves. We discussed how sporadic short mild periods during a long EHE supplied aphids a chance to recover from heat stress. Thus, we suggest that sporadic temperature events should be considered in population prediction of small insects under climate change and should be integrated into pest management.

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