Fenton A, Wall R, French N
School of Biological Sciences, University of Bristol, UK.
Vet Parasitol. 1998 Apr 15;76(3):211-28. doi: 10.1016/s0304-4017(97)00163-5.
Using a combination of a temperature-dependent simulation of the population dynamics of Lucilia sericata and a logistic model of sheep susceptibility, based on patterns of faecal soiling, fleece length and fleece humidity, a deterministic simulation model has been constructed to predict the incidence of sheep strike by L. sericata on lambs and ewes in Britain. Strikes are assigned to individual sheep in the flock according to a negative binomial distribution. The model shows that the majority of the first strikes of the season occur equally on ewes and lambs, when ewe fleeces are long and before lamb susceptibility increases though faecal soiling. With each subsequent generation of gravid blowflies, however, a greater proportion of strikes occur on lambs, while the number of strikes observed on ewes remains relatively consistent throughout the season. The increase in strike of lambs is due to the seasonal increase in lamb faecal soiling, associated with rising helminth infections and lamb fleece growth. The model shows that at the beginning of the season the incidence of strike is limited by the low number of flies present: towards the end of seasons, however, the blowfly population had grown large enough for the number of strikes to be limited by the number of susceptible ewes and lambs. The model shows that the seasonal incidence of strike is highly sensitive to the interactions between temperature, rainfall and would length. Strike was most prevalent under warm, wet conditions. However, there is a critical period during spring, where the short fleeces of lambs and ewes, in the latter case due to shearing, results in the desiccation of egg batches. If this coincides with dry conditions, the high levels of mortality result in suppression of the fly population and a reduction in the subsequent incidence of strike.
结合温度依赖的丝光绿蝇种群动态模拟和基于粪便污染模式、羊毛长度及羊毛湿度的绵羊易感性逻辑模型,构建了一个确定性模拟模型,以预测英国羔羊和母羊被丝光绿蝇致伤的发生率。根据负二项分布将致伤情况分配到羊群中的每只羊身上。该模型显示,在季节初期,当母羊羊毛较长且羔羊因粪便污染导致易感性增加之前,大多数首次致伤情况在母羊和羔羊身上的发生率相同。然而,随着每一代怀有身孕的丽蝇出现,更多的致伤情况发生在羔羊身上,而整个季节中观察到的母羊致伤数量相对保持稳定。羔羊致伤率的增加是由于羔羊粪便污染的季节性增加,这与蠕虫感染增加和羔羊羊毛生长有关。该模型表明,在季节开始时,致伤发生率受当时存在的苍蝇数量较少的限制;然而,在季节末期,丽蝇种群增长到足够大,以致伤数量受易感母羊和羔羊数量的限制。该模型表明,致伤的季节性发生率对温度、降雨和羊毛长度之间的相互作用高度敏感。在温暖潮湿的条件下,致伤最为普遍。然而,在春季有一个关键时期,此时羔羊和母羊的羊毛较短(母羊的情况是由于剪毛),导致卵块干燥。如果此时恰逢干燥天气,高死亡率会导致苍蝇种群数量受到抑制,进而降低随后的致伤发生率。