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气象和地理因素对中国大陆西北部中华白蛉分布的影响

Impact of meteorological and geographical factors on the distribution of Phlebotomus chinensis in northwestern mainland China.

作者信息

Gao X, Xiao J H, Liu B Y, Wang H B

机构信息

Department of Veterinary Surgery, Northeast Agricultural University, Harbin, Heilongjiang, China.

出版信息

Med Vet Entomol. 2018 Sep;32(3):365-371. doi: 10.1111/mve.12307. Epub 2018 May 29.

Abstract

Phlebotomine sandflies (Diptera: Phlebotomidae) are vectors of the zoonotic disease leishmaniasis. To better understand the distribution of phlebotomine sandflies in order to facilitate control of leishmaniasis transmission, the present study explored the impacts of climate and landscape on local abundances of Phlebotomus chinensis in northwestern mainland China. Identification records were used to create a geodatabase for the locations at which P. chinensis had been collected in the region, and a regional-scale map was developed to show the distribution of P. chinensis. Location data and data on environmental factors during the years in which the samples were collected were incorporated, and a presence-only modelling method was used to evaluate the species' habitat preferences and to predict its potential distribution in northwestern mainland China. Jackknife analysis revealed that several meteorological variables, including maximum temperature in the warmest quarter, precipitation in the driest month, daily average temperature and daily precipitation, significantly affected the presence of this species. Moreover, the presence of P. chinensis was significantly associated with grassland and shrubland. Probability distributions using maximum entropy were used to map the distribution ranges of P. chinensis based on suitable habitats in northwestern mainland China. The models generated can be used to develop detailed strategies for the prevention and control of leishmaniasis.

摘要

白蛉(双翅目:白蛉科)是人畜共患疾病利什曼病的传播媒介。为了更好地了解白蛉的分布情况以促进利什曼病传播的控制,本研究探讨了气候和地貌对中国大陆西北部中华白蛉局部丰度的影响。利用鉴定记录创建了该地区中华白蛉采集地点的地理数据库,并绘制了区域尺度地图以显示中华白蛉的分布。纳入了采样年份的位置数据和环境因素数据,并采用仅存在建模方法评估该物种的栖息地偏好,并预测其在中国大陆西北部的潜在分布。刀切法分析表明,包括最暖季度最高温度、最干月份降水量、日平均温度和日降水量在内的几个气象变量显著影响该物种的存在。此外,中华白蛉的存在与草地和灌木地显著相关。基于最大熵的概率分布用于根据中国大陆西北部的适宜栖息地绘制中华白蛉的分布范围。生成的模型可用于制定利什曼病预防和控制的详细策略。

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