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按蚊幼虫栖息地的理化和生物学特性(双翅目:蚊科):对疟疾控制的影响。

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

机构信息

Laboratory of Environmental Toxicology and Aquatic Ecology, Ghent University, J, Plateaustraat 22, B-9000 Ghent, Belgium.

出版信息

Parasit Vectors. 2013 Nov 4;6(1):320. doi: 10.1186/1756-3305-6-320.

Abstract

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.

摘要

背景

对蚊虫幼虫的空间分布和生态学有一个基本的了解,对于有效的病媒控制干预策略至关重要。在这项研究中,我们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埃塞俄比亚西南部蚊虫幼虫发生和丰度的最重要的生物和非生物因素。

方法

在 2010 年和 2012 年期间,共在 180 个采样点采集了 220 个样本。采样点的特征基于物理、化学和生物属性。决策树模型的预测性能基于正确分类实例(CCI)、科恩氏kappa 统计量(κ)和确定系数(R2)进行评估。对回归树模型进行了条件分析,以检验关键环境和生物参数与蚊虫幼虫丰度之间的关系。

结果

为按蚊幼虫开发的决策树模型表现出良好的模型性能(CCI=84±2%,κ=0.66±0.04),表明该属具有明确的生境要求。按蚊幼虫分布广泛,尤其存在于小型人为水生栖息地。水温、冠层覆盖度、挺水植被覆盖度以及捕食者和竞争者的存在被发现是决定按蚊幼虫丰度和分布的主要变量。相比之下,按蚊幼虫在永久性幼虫栖息地的出现频率较低。这可能归因于大量和多样的自然捕食者和竞争者抑制了蚊虫种群密度。

结论

本研究的结果表明,针对较小的人为水生栖息地进行目标定位可能会导致研究区域内按蚊幼虫的有效控制。通过排水永久性湿地来控制蚊虫幼虫的发生可能不是一个好的管理策略,因为它会对蚊虫捕食者和竞争者的发生和丰度产生负面影响,并促进按蚊种群密度的增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be7c/4029358/56c823f63253/1756-3305-6-320-1.jpg

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