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林业科学 ›› 2020, Vol. 56 ›› Issue (6): 68-75.doi: 10.11707/j.1001-7488.20200607

• 论文与研究报告 • 上一篇    下一篇

气象因子对长角血蜱寻觅活动的影响

柳絮飞1,周在豹2,王巍3,郑建旭3,魏婉红4,李凯1,*   

  1. 1. 北京林业大学自然保护区学院 北京 100083
    2. 北京市林业保护站 北京 100029
    3. 河北小五台山国家级自然保护区管理局 张家口 075700
    4. 首都机场海关 北京 101300
  • 收稿日期:2018-12-29 出版日期:2020-06-25 发布日期:2020-07-17
  • 通讯作者: 李凯
  • 基金资助:
    北京市林业保护站项目

Influence of Weather Factors on Questing Activity of Haemaphysalis longicornis

Xufei Liu1,Zaibao Zhou2,Wei Wang3,Jianxu Zheng3,Wanhong Wei4,Kai Li1,*   

  1. 1. College of Nature Conservation, Beijing Forestry University Beijing 100083
    2. Beijing Forestry Protection Station Beijing 100029
    3. Management Bureau of Hebei Xiaowutaishan National Nature Reserve Zhangjiakou 075700
    4. Capital Airport Customs Beijing 101300
  • Received:2018-12-29 Online:2020-06-25 Published:2020-07-17
  • Contact: Kai Li

摘要:

目的: 通过对北京西部山地常见林分环境硬蜱优势种(长角血蜱)种群动态研究,探讨不同气象因子对蜱寻觅活跃度的影响,以指导游人和林间作业人员规避蜱叮咬。方法: 2017-2018年,在北京西部山地风景区内选取3个试验地点,通过拖旗法每2周对样地内长角血蜱采样数量进行一次有放回抽样调查,每次调查3 h,通过手持式温湿度计及自动气象站收集温度、相对湿度、太阳辐射等9个气象因子数据,采用主成分分析、T检验法和Pearson相关系数对不同地点间蜱数量及气象因子与长角血蜱寻觅活动间关系进行分析。结果: 1)长角血蜱成蜱年度动态呈双峰模式,主高峰为5月,是9月次高峰蜱数量的13.9倍;2)不同样地间蜱数量具有差异,以畜牧业活动为主的唐家场平均采集数量显著高于从事少量农业活动的东沟(t=-3.38,P < 0.01)和较少人员进出的北沟(t=-3.00,P < 0.01),而东沟、北沟无差异(t=-0.77,P>0.05);3)长角血蜱寻觅活动与太阳辐射、饱和差和蒸发量呈正相关,与相对湿度、落叶层相对湿度和露点温度成负相关;4)通过主成分分析法对9个气象因子进行降维,共提取2个主成分,累积贡献率达78.32%,其中第1主成分定义为温度因素,以采样温度、饱和差、太阳辐射和蒸发量贡献最大,达42.39%;第2主成分定义为湿度因素,以相对湿度、落叶层相对湿度和露点温度贡献最大,达35.93%。结论: 长角血蜱成蜱在该地有春、秋2个数量高峰期并以春季为主;温暖干燥的天气条件使得蜱活跃性更强,外加春季种群数量高发,二者耦合使得春季成为我国北方地区硬蜱侵袭和叮咬的高发季节;由于宿主的存在导致畜牧活动区域长角血蜱种群呈现高密度分布,因此在上述地区和天气条件下,特别是在春季应加强对蜱传疾病的监管。

关键词: 长角血蜱, 时空动态, 气象因子, 影响

Abstract:

Objective: In this paper, we studied the population dynamics of the dominant hard tick (Haemaphysalis longicornis) in the forest environment in the western mountainous areas of Beijing, and investigated the influence of the weather factors on questing activity of H. longicornis, in order to protect tourists and forest workers from their bites. Method: Three experimental sites in the western mountainous scenic area of Beijing were selected, and the tick population in the sites was sampled every two weeks from 2017 to 2018, and the dragging method was used to investigate tick population for 3 hours in each site. During investigation, 9 weather factor data, such as temperature, relative humidity, dew-point temperature and solar radiation, were collected by hygrothermograph and automatic weather station. The principal component analysis, T-test and Pearson correlation coefficient were used to analyze the difference in the number of ticks between different sites and the effects of weather factors on questing activity of H. longicornis. Result: The results showed that:1) The annual population dynamics of the H. longicornis presented a bimodal pattern with the peaks occurred in May and September, respectively, and the number of peaks in May was 13.9 times of that in September. 2) There was a difference in the number of ticks among different sites. The average number of ticks collected in Tangjiachang, where animal husbandry was the main activity, was significantly greater than that collected in Donggou (t=-3.38, P < 0.01) with a small amount of agricultural activity, and also significantly greater than that collected in Beigou (t=-3.00, P < 0.01) with fewer human activity. However there was no difference in the number of ticks between Donggou and Beigou (t=-0.77, P>0.05). 3) The solar radiation, saturation difference and evaporation were positively correlated with questing activity of H. longicornis, while relative humidity, leaf-litter layer relative humidity and the dew-point temperature were negatively correlated to questing activity of H. longicorni. 4) Principal component analysis method was used to reduce the dimension of 9 weather factors, and 2 principal components were extracted, and their cumulative contribution rate was 78.32%. The first principal component was defined as the temperature factor, with the maximum contribution of sampling temperature, saturation difference, solar radiation and evaporation, reaching 42.39%; the second principal component was defined as the humidity factor, which contributed the most to the relative humidity, the leaf-litter layer relative humidity and the dew-point temperature, with 35.93%. Conclusion: The adult ticks of H. longicornis have two peak periods in spring and autumn, especially in spring when ticks are more active in warm and dry weather and its population is higher than that in autumn. The coupling of the two attributes makes spring a high incidence of invasion and bites of H. longicornis in northern China. In the livestock area, due to the large number of hosts, the population of H. longicornis significantly increases and therefore, the supervision of tick-borne diseases should be strengthened in the above-mentioned region and weather conditions, especially in spring.

Key words: Haemaphysalis longicornis, temporal-spatial dynamics, weather factors, influence

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