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Interplay Between Endogenous and Exogenous Factors in Controlling Temporal Abundance Patterns of Tropical Disease-carrying Mosquito

机译:中源性与外源因素的相互作用控制热带病携带蚊子的时间丰富模式

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The growing quest for efficient and effective mosquito control requires a better understanding of vector population dynamics and how these are modified by endogenous and exogenous factors. A long-term (11-year) monitoring dataset describing the relative abundance of the saltmarsh mosquito {Aedes vigilax) in the greater Darwin region, northern Australia were examined in a suite of Gompertz-logistic (GL) models with and without hypothesized environmental correlates (high tide frequency, rainfall and relatively humidity). We also examined whether environmental correlates explained the variance in seasonal carrying capacity (K). Models were compared using Akaike's Information Criterion (AIC), Bayesian Inference Criterion (BIC) and jack-knifed cross-validation (C-V). The GL model with a two-month lag without environmental effects explained 31 % of the variation inpopulation growth rate.
机译:越来越多的高效和有效的蚊虫控制需要更好地了解矢量人口动态以及如何通过内源性和外源性因素进行修改。一个长期(11年)监测数据集,描述了澳大利亚北部澳大利亚北部的萨尔玛什蚊子{AEDESIGILAX)的相对丰富,在一套Gompertz-Logistic(GL)模型中,没有假设的环境相关性(潮汐频率高,降雨量和比较湿度)。我们还检查了环境相关是否解释了季节性承载能力(K)的方差。使用Akaike的信息标准(AIC),贝叶斯推理标准(BIC)和Jack-Chried交叉验证(C-V)进行比较模型。 GL模型具有两个月的滞后,没有环境影响,解释了51%的变异产量增长率。

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