Chin J Schisto Control ›› 2016, Vol. 28 ›› Issue (3): 258-263.

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Diffusion, population dynamics and potential distribution of Armigeres subalbatus

GUO Yun-hai, SHI Wen-qi, ZHANG Yi *   

  1. National Institute of Parasitic Diseases,Chinese Center for Disease Control and Prevention;Key Laboratory of Parasite and Vector Biology,MOH;National Center for International Research on Tropical Diseases,Ministry of Science and Technology;WHO Col? laborating Centre for Tropical Diseases, Shanghai 200020,China
  • Online:2016-06-13 Published:2016-06-14
  • Contact: ZHANG Yi

骚扰阿蚊扩散 种群动态及适生区分析

郭云海,施文琦,张仪*   

  1. 中国疾病预防控制中心寄生虫病预防控制所, 卫生部寄生虫病原与媒介生物学重点实验室, 科技部国家级热带病国际联合研究中 心, 世界卫生组织热带病合作中心 (上海 200020)
  • 通讯作者: 张仪
  • 作者简介:郭云海, 男, 博士, 助理研究员。研究方向: 寄生虫病与媒介生物学
  • 基金资助:
    中国CDC寄生虫病预防控制所防治技术储备科研基金 (CB?16003)

Abstract: Objective Objective To investigate the diffusion trend of Armigeres subalbatus and analyze its potential geographic distri? bution in China. Methods Methods The trend analysis of diffusion and population dynamics were carried out based on three aspects in? cluding literature reports,information of museum specimens and new collection records from our field survey. To compare the po? tential geographic distribution,two ecological niche models were constructed by Maxent software based on the geographic pres? ence occurrence data and 20 environmental variables. The final models were evaluated with the receiver operating characteristics curve(ROC) . The analyses of variable contributions were confirmed by using the Jackknife method. Results Results The populations in Weifang and Weihai,Shandong Province were reported for the first time. The results showed that this species was spread to the Palaearctic Northern Region and reached 42° north latitude regions. In some areas,it gradually developed into a dominant species. A total of 294 georeferenced occurrence points of A. subalbatus were found out. Two predictions of Maxent models were established based on the presence occurrence data in 2000 and 2016,respectively. The results showed that the current distribu? tion range of A. subalbatus had been significantly northward expanded compared with 2000. It means that the potential suitable area gradually spread northward. The ROC analysis results showed the AUC values were 0.980 and 0.982,and it indicated that the models had a high reliability. The Jackknife method displayed that the precipitation of warmest quarter,precipitation of wet? test month and precipitation of wettest quarter were the dominant environmental variables that mainly contributed to the distribu? tion of A. subalbatus. Conclusions Conclusions A. subalbatus distribution gradually spreads northward,and climate warming is probably the main reason for the diffusion. It could affect the local mosquito species composition and increase the risk of mosquito?borne disease transmission.

Key words: Vector, Biological invasion, Ecological niche model, Climate change

摘要: 目的 目的 了解骚扰阿蚊 (Armigeres subalbatus) 在我国的扩散趋势及种群变化, 同时预测其潜在适生区。 方法 方法 野外调查获得标本, 查对馆藏标本相关记录, 结合文献报道分析骚扰阿蚊扩散及种群动态趋势。整理骚扰阿蚊分布记 录, 结合20个环境相关变量, 建立生态小生境模型, 比较其潜在适生区的变化。通过ROC曲线分析检验模型准确性, 利 用刀切法逐一分析环境变量贡献值。 结果 结果 野外调查在山东潍坊及威海地区发现骚扰阿蚊新分布点。结合文献及馆 藏标本分析发现该物种正逐渐向古北界华北区扩散, 目前已接近北纬42°地区, 部分地区种群已逐渐发展为区域主要物 种。本研究收集并整理了骚扰阿蚊相关资料, 共获得294个分布记录。研究以2000年为时间分隔, 运用Maxent软件分 别构建了2000年和2016年的分布预测模型, 发现2016年的预测分布范围较2000年已明显向北推移, 即骚扰阿蚊的潜在 适生区呈向北扩大的趋势。模型检验ROC分析结果显示两个模型AUC值分别为0.980和0.982, 模型可信度极高。刀切 法分析结果表明最暖季度平均湿度、 最湿月份湿度和最湿季度湿度对预测骚扰阿蚊的分布具有重要影响。 结论 结论 骚扰 阿蚊种群分布向北逐渐扩散, 气候变暖可能是造成扩散的原因。该物种的扩散一定程度影响当地蚊种组成, 同时可能会 增加部分蚊媒疾病传播的风险。

关键词: 媒介生物, 生物入侵, 生态位模型, 气候变化