Price Peter W, Hunter Mark D
Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ 86011-5640.
Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109.
Environ Entomol. 2015 Jun;44(3):463-73. doi: 10.1093/ee/nvv039. Epub 2015 Apr 6.
The interaction between the arroyo willow, Salix lasiolepis Bentham, and its specialist herbivore, the arroyo willow stem-galling sawfly, Euura lasiolepis Smith (Hymenoptera: Tenthredinidae), was studied for 32 yr in Flagstaff, AZ, emphasizing a mechanistic understanding of insect population dynamics. Long-term weather records were evaluated to provide a climatic context for this study. Previously, predictive models of sawfly dynamics were developed from estimates of sawfly gall density made between 1981 and 2002; one model each for drier and wetter sites. Predictor variables in these models included winter precipitation and the Palmer Drought Severity Index, which impact the willow growth, with strong bottom-up effects on sawflies. We now evaluate original model predictions of sawfly population dynamics using new data (from 2003-2012). Additionally, willow resources were evaluated in 1986 and in 2012, using as criteria clone area, shoot density, and shoot length. The dry site model accounted for 40% of gall population density variation between 2003 and 2012 (69% over the 32 yr), providing strong support for the bottom-up, mechanistic hypothesis that water supply to willow hosts impacts sawfly populations. The current drying trend stressed willow clones: in drier sites, willow resources declined and gall density decreased by 98%. The wet site model accounted for 23% of variation in gall population density between 2003 and 2012 (48% over 30 yr), consistent with less water limitation. Nonetheless, gall populations were reduced by 72%.
在亚利桑那州弗拉格斯塔夫,对河滩柳(Salix lasiolepis Bentham)与其专食性食草动物——河滩柳茎瘿蜂(Euura lasiolepis Smith,膜翅目:叶蜂科)之间的相互作用进行了32年的研究,重点是对昆虫种群动态进行机理理解。评估了长期气象记录,为该研究提供气候背景。此前,根据1981年至2002年间对瘿蜂瘿密度的估计,建立了瘿蜂动态预测模型;针对较干燥和较湿润的地点各建立了一个模型。这些模型中的预测变量包括冬季降水量和帕尔默干旱严重度指数,它们影响柳树生长,对瘿蜂有强烈的自下而上的影响。我们现在使用新数据(2003年至2012年)评估瘿蜂种群动态的原始模型预测。此外,在1986年和2012年对柳树资源进行了评估,评估标准包括无性系面积、嫩枝密度和嫩枝长度。干燥地点模型解释了2003年至2012年间瘿蜂种群密度变化的40%(32年期间为69%),为柳树寄主的水分供应影响瘿蜂种群这一自下而上的机理假说提供了有力支持。当前的干旱趋势使柳树无性系受到压力:在较干燥的地点,柳树资源减少,瘿密度下降了98%。湿润地点模型解释了2003年至2012年间瘿蜂种群密度变化的23%(30年期间为48%),这与水分限制较小一致。尽管如此,瘿蜂种群仍减少了72%。