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首页> 外文期刊>Journal of Medical Entomology >Life table characteristics of Anopheles arabiensis (Diptera : Culicidae) under simulated seasonal conditions
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Life table characteristics of Anopheles arabiensis (Diptera : Culicidae) under simulated seasonal conditions

机译：模拟季节条件下阿拉伯按蚊（Diptera：Culicidae）的生命表特征

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摘要

Life tables provide a summary of mortality and reproductive schedules and can help explain why certain species proliferate in particular environments. Life table characteristics of Anopheles arabiensis, under a range of simulated seasonal temperature were determined. F-1 progeny of field-collected material were observed at four fluctuating temperatures with means of 17.9,23.2,26.1, and 21.4degreesC, representing winter, spring, summer and autumn temperature profiles. Gonotrophic cycles, egg hatchability rates, mean male and female lifespans, reproductive rate, the intrinsic rate of increase, and generation times were calculated. Immature development was fastest in summer (11 d) compared with winter (32 d), resulting in less robust adults. Mean female lifespans were greater than those of the males and also increased with decreasing temperatures. From the age-specific survivorship, curve and the gonotrophic cycles, females were found to lay large numbers of eggs especially during spring and summer. Under simulated winter conditions mosquitoes did not oviposit in the laboratory. It was also determined that summer reared mosquitoes are capable of giving just one infected bite while autumn reared mosquitoes can give two infected bites, increasing their transmission potential. Thus life table data go some way toward explaining late season transmission of malaria in South Africa.
机译：生命表提供了死亡率和生殖计划的摘要，可以帮助解释为什么某些物种在特定环境中繁殖。确定了在模拟的季节性温度范围内，阿拉伯按蚊的生命表特征。在17.9、23.2、26.1和21.4°C的四个波动温度下观察到野外采集材料的F-1后代，分别代表冬季，春季，夏季和秋季的温度曲线。计算了营养营养周期，卵孵化率，男女平均寿命，生殖率，内在增长率和世代时间。与冬季（32 d）相比，夏季（11 d）的未成熟发育最快，导致成年人的健壮性降低。女性平均寿命大于男性，并且随着温度的降低而增加。从特定年龄的存活率，曲线和非营养周期，发现雌性产下大量卵，尤其是在春季和夏季。在模拟的冬季条件下，实验室中没有蚊子产卵。还确定了夏季饲养的蚊子只能感染一只蚊子，而秋季饲养的蚊子可以感染两只蚊子，从而增加了传播潜力。因此，生命表数据在某种程度上有助于解释南非疟疾的后期传播。

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