Reddy Gadi V P, Shi Peijian, Hui Cang, Cheng Xiaofei, Ouyang Fang, Ge Feng
Western Triangle Agricultural Research Centre Montana State University 9546 Old Shelby Road P.O. Box 656 Conrad Montana 59425, USA.
Collaborative Innovation Center of Sustainable Forestry in Southern China of Jiangsu Province Nanjing Forestry University 159 Longpan Road Xuanwu District Nanjing 210037 China.
Ecol Evol. 2015 Nov 17;5(23):5652-61. doi: 10.1002/ece3.1829. eCollection 2015 Dec.
Knowing how climate change affects the population dynamics of insect pests is critical for the future of integrated pest management. Rising winter temperatures from global warming can drive increases in outbreaks of some agricultural pests. In contrast, here we propose an alternative hypothesis that both extremely cold and warm winters can mismatch the timing between the eclosion of overwintering pests and the flowering of key host plants. As host plants normally need higher effective cumulative temperatures for flowering than insects need for eclosion, changes in flowering time will be less dramatic than changes in eclosion time, leading to a mismatch of phenology on either side of the optimal winter temperature. We term this the "seesaw effect." Using a long-term dataset of the Old World cotton bollworm Helicoverpa armigera (Hübner) (Lepidoptera: Noctuidae) in northern China, we tested this seesaw hypothesis by running a generalized additive model for the effects of the third generation moth in the preceding year, the winter air temperature, the number of winter days below a critical temperature and cumulative precipitation during winter on the demography of the overwintering moth. Results confirmed the existence of the seesaw effect of winter temperature change on overwintering populations. Pest management should therefore consider the indirect effect of changing crop phenology (whether due to greenhouse cultivation or to climate change) on pest outbreaks. As arthropods from mid- and high latitudes are actually living in a cooler thermal environment than their physiological optimum in contrast to species from lower latitudes, the effects of rising winter temperatures on the population dynamics of arthropods in the different latitudinal zones should be considered separately. The seesaw effect makes it more difficult to predict the average long-term population dynamics of insect pests at high latitudes due to the potential sharp changes in annual growth rates from fluctuating minimum winter temperatures.
了解气候变化如何影响害虫的种群动态对于未来的综合害虫管理至关重要。全球变暖导致冬季气温上升,可能会促使一些农业害虫的爆发增加。相比之下,我们在此提出另一种假设,即极冷和极暖的冬季都会使越冬害虫的羽化时间与关键寄主植物的开花时间不匹配。由于寄主植物开花通常比昆虫羽化需要更高的有效积温,开花时间的变化将不如羽化时间的变化显著,从而导致在最适冬季温度两侧出现物候不匹配。我们将此称为“跷跷板效应”。利用中国北方棉铃虫(Helicoverpa armigera (Hübner),鳞翅目:夜蛾科)的长期数据集,我们通过运行广义相加模型,来检验前一年第三代蛾、冬季气温、低于临界温度的冬季天数以及冬季累计降水量对越冬蛾种群统计学特征的影响,以此来验证这一跷跷板假设。结果证实了冬季温度变化对越冬种群存在跷跷板效应。因此,害虫管理应考虑作物物候变化(无论是由于温室栽培还是气候变化)对害虫爆发的间接影响。与低纬度地区的物种相比,中高纬度地区的节肢动物实际上生活在比其生理最适温度更低的热环境中,因此应分别考虑冬季气温上升对不同纬度地区节肢动物种群动态的影响。由于冬季最低温度波动会导致年增长率可能急剧变化,跷跷板效应使得预测高纬度地区害虫的长期平均种群动态变得更加困难。