Robinson Ayla, Inouye David W, Ogilvie Jane E, Mooney Emily H
Ohio State University, Columbus, OH, 43210, USA.
Rocky Mountain Biological Laboratory, Crested Butte, CO, 81224, USA.
Oecologia. 2017 Oct;185(2):181-190. doi: 10.1007/s00442-017-3934-0. Epub 2017 Sep 11.
Climate change can influence the abundance of insect herbivores through direct and indirect mechanisms. In this study, we evaluated multitrophic drivers of herbivore abundance for an aphid species (Aphis helianthi) in a subalpine food web consisting of a host plant (Ligusticum porteri), mutualist ants and predatory lygus bugs (Lygus spp.). We used a model-selection approach to determine which climate and host plant cues best predict year-to-year variation in insect phenology and abundance observed over 6 years. We complemented this observational study with experiments that determined how elevated temperature interacts with (1) host plant phenology and (2) the ant-aphid mutualism to determine aphid abundance. We found date of snowmelt to be the best predictor of yearly abundance of aphid and lygus bug abundance but the direction of this effect differed. Aphids achieved lower abundances in early snowmelt years likely due to increased abundance of lygus bug predators in these years. Elevating temperature of L. porteri flowering stalks reduced their quality as hosts for aphid populations. However, warming aphid colonies on host plants of similar quality increased population growth rates. Importantly, this effect was apparent even in the absence of ants. While we observed fewer ants tending colonies at elevated temperatures, these colonies also had reduced numbers of lygus bug predators. This suggests that mutualism with ants becomes less significant as temperature increases, which contrasts other ant-hemipteran systems. Our observational and experimental results show the importance of multitrophic species interactions for predicting the effect of climate change on the abundances of herbivores.
气候变化可通过直接和间接机制影响食草昆虫的数量。在本研究中,我们评估了亚高山食物网中一种蚜虫(向日葵蚜)数量的多营养驱动因素,该食物网由一种寄主植物(波特川芎)、共生蚂蚁和捕食性盲蝽(盲蝽属)组成。我们采用模型选择方法来确定哪些气候和寄主植物线索能最好地预测6年间观察到的昆虫物候和数量的逐年变化。我们通过实验对这项观察性研究进行补充,这些实验确定了温度升高如何与(1)寄主植物物候和(2)蚂蚁 - 蚜虫共生关系相互作用以确定蚜虫数量。我们发现融雪日期是蚜虫和盲蝽数量年度变化的最佳预测指标,但这种影响的方向有所不同。在融雪早的年份,蚜虫数量较低,可能是因为这些年份盲蝽捕食者的数量增加。提高波特川芎花茎的温度会降低其作为蚜虫寄主的质量。然而,在质量相似的寄主植物上使蚜虫群体变暖会提高种群增长率。重要的是,即使在没有蚂蚁的情况下,这种影响也很明显。虽然我们观察到在温度升高时照顾蚜虫群体的蚂蚁较少,但这些群体中盲蝽捕食者的数量也减少了。这表明随着温度升高,与蚂蚁的共生关系变得不那么重要,这与其他蚂蚁 - 半翅目系统形成对比。我们的观察和实验结果表明,多营养物种相互作用对于预测气候变化对食草动物数量的影响具有重要意义。