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气候和物理因素会影响大头金蝇 Chrysomya megacephala 和家蝇 Musca domestica 的种群吗?

Do climatic and physical factors affect populations of the blow fly Chrysomya megacephala and house fly Musca domestica?

机构信息

Department of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.

出版信息

Parasitol Res. 2011 Nov;109(5):1279-92. doi: 10.1007/s00436-011-2372-x. Epub 2011 Apr 9.

Abstract

The blow fly, Chrysomya megacephala (Fabricius), and house fly, Musca domestica L., are medically and forensically important flies. The population dynamic of these flies is essential for both control and forensical aspects. The aim of this study was to investigate the climatic and physical factors affecting the population trend of both species in Chiang Mai province, northern Thailand, using the Geographic Information System (GIS). Based on systematic random sampling, 18 study sites were selected in three districts (Mueang Chiang Mai, Mae Rim, and Hang Dong). Six land use types were involved in the study sites, i.e., disturbed mixed deciduous, mixed deciduous forest, mixed orchard, lowland village, city, and paddy field. Adult flies were sampled every 2 weeks using an in-house prototype reconstructable funnel trap. Two types of bait were used--one with fresh beef viscera for luring M. domestica and the other with 1-day tainted beef viscera for luring C. megacephala. Collections were conducted from May 2009 to May 2010, and analysis of climatic factors (temperature, relative humidity, and light intensity) was carried out. Correlation bivariate analysis was performed initially to determine the relationship between climatic factors and the number of flies. Consequently, an ordinary co-kriging approach, in ArcGIS 9.2, was performed to predict the spatial distribution of flies with land use and climatic factors as co-variables. A total of 63,158 flies were captured, with C. megacephala being the most common species collected (68.37%), while only 1.3% were M. domestica, thus proving that C. megacephala was the most abundant species in several land use types. A significantly higher number of females than males was found in both species. Fly populations can be collected throughout most of the year with a peak in late summer, which shows a positive relation to temperature but negative correlation with relative humidity. C. megacephala was predicted to be abundant in every land use type, from lowland to forested areas, while the density of house fly was association with altitude and land use types.

摘要

麻蝇和家蝇是医学和法医学上重要的蝇种。这两种蝇的种群动态对于控制和法医学方面都很重要。本研究旨在利用地理信息系统(GIS)研究泰国北部清迈府两种蝇种的种群趋势受气候和物理因素的影响。基于系统随机抽样,在三个区(清迈府城、湄林和杭东)选择了 18 个研究点。研究点涉及 6 种土地利用类型,即干扰混合落叶林、混合落叶林、混合果园、低地村庄、城市和稻田。使用内部原型可重构漏斗陷阱每两周采集一次成虫。使用两种诱饵采集蝇类,一种是带有新鲜牛内脏的诱饵,用于吸引家蝇,另一种是带有 1 天污染牛内脏的诱饵,用于吸引大头金蝇。采集时间为 2009 年 5 月至 2010 年 5 月,同时对气候因素(温度、相对湿度和光照强度)进行了分析。首先进行了二元相关分析,以确定气候因素与蝇类数量之间的关系。然后,在 ArcGIS 9.2 中,采用普通协同克里金方法,利用土地利用和气候因素作为协变量,预测蝇类的空间分布。共捕获 63158 只蝇类,大头金蝇是最常见的采集物种(68.37%),而只有 1.3%是家蝇,这证明大头金蝇在几种土地利用类型中是最丰富的物种。两种蝇类中,雌性的数量明显多于雄性。蝇类可以在一年中的大部分时间采集到,夏季末达到高峰,这表明其数量与温度呈正相关,与相对湿度呈负相关。预测大头金蝇在从低地到森林地区的各种土地利用类型中都很丰富,而家蝇的密度与海拔和土地利用类型有关。

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