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Physico-chemical and biological characterization of anopheline mosquito larval habitats (Diptera: Culicidae): implications for malaria control

机译:Anopheline蚊子幼虫栖息地的物理化学和生物学特性(Diptera:Culicidae):对疟疾控制的影响

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Background A fundamental understanding of the spatial distribution and ecology of mosquito larvae is essential for effective vector control intervention strategies. In this study, data-driven decision tree models, generalized linear models and ordination analysis were used to identify the most important biotic and abiotic factors that affect the occurrence and abundance of mosquito larvae in Southwest Ethiopia. Methods In total, 220 samples were taken at 180 sampling locations during the years 2010 and 2012. Sampling sites were characterized based on physical, chemical and biological attributes. The predictive performance of decision tree models was evaluated based on correctly classified instances (CCI), Cohen’s kappa statistic (κ) and the determination coefficient (R2). A conditional analysis was performed on the regression tree models to test the relation between key environmental and biological parameters and the abundance of mosquito larvae. Results The decision tree model developed for anopheline larvae showed a good model performance (CCI?=?84?±?2%, and κ?=?0.66?±?0.04), indicating that the genus has clear habitat requirements. Anopheline mosquito larvae showed a widespread distribution and especially occurred in small human-made aquatic habitats. Water temperature, canopy cover, emergent vegetation cover, and presence of predators and competitors were found to be the main variables determining the abundance and distribution of anopheline larvae. In contrast, anopheline mosquito larvae were found to be less prominently present in permanent larval habitats. This could be attributed to the high abundance and diversity of natural predators and competitors suppressing the mosquito population densities. Conclusions The findings of this study suggest that targeting smaller human-made aquatic habitats could result in effective larval control of anopheline mosquitoes in the study area. Controlling the occurrence of mosquito larvae via drainage of permanent wetlands may not be a good management strategy as it negatively affects the occurrence and abundance of mosquito predators and competitors and promotes an increase in anopheline population densities.
机译:背景技术对蚊虫幼虫的空间分布和生态学的基本理解对于有效的载体控制干预策略至关重要。在本研究中,使用数据驱动的决策树模型,广义线性模型和排序分析来确定影响西南埃塞俄比亚蚊子幼虫的发生和丰富的最重要的生物和非生物因素。在2010年和2012年的180年的抽样位置拍摄了总共220个样品的方法。根据物理,化学和生物学属性表征采样部位。基于正确的分类实例(CCI),COHEN的Kappa统计(κ)和确定系数(R2)评估决策树模型的预测性能。对回归树模型进行了条件分析,以测试关键环境与生物参数与蚊子幼虫的丰富关系。结果为鼻咽幼虫开发的决策树模型显示出良好的模型性能(CCI?=?84?±2%,κ= 0.66?±0.04),表明该属具有清晰的栖息地要求。 Anopheline蚊子幼虫表现出广泛的分布,特别是在小型人造水生栖息地中发生。发现水温,遮篷覆盖,紧急植被覆盖以及捕食者和竞争对手的存在是确定幼稚幼虫的丰富和分布的主要变量。相比之下,发现神经蚊虫幼虫在永久性幼虫栖息地中不太突出。这可能归因于天然捕食者的高丰富和多样性,抑制蚊子群体密度的竞争对手。结论本研究的结果表明,靶向较小的人造水生栖息地可能导致研究区域中的蚊子蚊子幼虫控制。通过湿地引流控制蚊子幼虫的发生可能不是良好的管理策略,因为它对蚊虫捕食者和竞争对手的发生和丰富产生了负面影响,并促进了高档人口密度的增加。

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