气候环境因子对我国森林革蜱适生区的影响研究

doi:10.11853/j.issn.1003.8280.2021.06.015

中国媒介生物学及控制杂志 ›› 2021, Vol. 32 ›› Issue (6): 732-735.DOI: 10.11853/j.issn.1003.8280.2021.06.015

气候环境因子对我国森林革蜱适生区的影响研究

刘凯¹, 姚晓燕¹, 寸得娇¹, 张仪², 李兰花¹

1. 潍坊医学院公共卫生学院, 山东潍坊 261053;
2. 中国疾病预防控制中心寄生虫病预防控制所, 上海 200025

收稿日期:2021-05-17 出版日期:2021-12-20 发布日期:2021-12-15
通讯作者: 李兰花,E-mail:orchid8@sina.com;张仪,E-mail:zhangyi@nipd.chinacdc.cn
作者简介:刘凯,男,在读硕士,主要从事传染病媒介生物研究,E-mail:liukai199817@163.com
基金资助:
上海市第五轮公共卫生体系建设三年行动计划重点学科项目（GWV-10.1-XK13）；国家自然科学基金（81902095）；山东省自然科学基金（ZR2019MH093）；科技基础资源调查专项（2017FY101203）

Effects of climatic and environmental factors on the potential geographic distribution of Dermacentor silvarum in China

LIU Kai¹, YAO Xiao-yan¹, CUN De-jiao¹, ZHANG Yi², LI Lan-hua¹

1. School of Public Health, Weifang Medical University, Weifang, Shandong 261053, China;
2. National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, China

Received:2021-05-17 Online:2021-12-20 Published:2021-12-15
Supported by:
Supported by the Fifth Round of Three-Year Public Health Action Plan of Shanghai (No. GWV-10.1-XK13), National Natural Science Foundation of China (No.81902095), Natural Science Foundation of Shandong Province (No.ZR2019MH093) and the Special Project of Science and Technology Basic Resources Investigation (No. 2017FY101203)

摘要/Abstract

摘要： 目的分析影响森林革蜱分布的气候环境因子及其在我国的潜在适生区，并预估气候变化对我国森林革蜱分布的影响。方法检索森林革蜱在我国的地理分布相关文献，提取分布点坐标信息，采用最大熵模型（maximum entropy model，MaxEnt）对我国森林革蜱潜在适生区进行预估。结果对我国森林革蜱分布影响较大的气候环境因子中依次为海拔（贡献率为21.6%）、最冷季降水量（16.7%）、最干季平均温度（15.4%）、年平均温度（12.3%）；森林革蜱主要分布于我国北方，尤其是内蒙古自治区和中国东北地区；在典型路径浓度（RCP）4.5气候情景下，2070年我国森林革蜱适生区面积将增加10.4×10⁴ km²，新增适生区主要分布于湖南、青海、江西和浙江省。结论海拔可能是影响森林革蜱分布的主要因素，未来气候条件下森林革蜱的分布范围将会扩大。

关键词: 森林革蜱, MaxEnt模型, 分布区, 环境因子

Abstract: Objective To analyze the climatic and environmental factors that affect the distribution of Dermacentor silvarum in China and the potentially suitable habitats of D. silvarum, and to project the impact of climate changes on the distribution of D. silvarum in China. Methods The geographical distribution of D. silvarum in China was searched, and the coordinate information of distribution points was extracted.Maximum entropy model was used to project the potentially suitable habitats of D. silvarum in China. Results Among the climatic and environmental factors, altitude (21.6%), precipitation of coldest quarter (16.7%), mean temperature of driest quarter (15.4%), and annual mean temperature (12.3%) had great influence on the distribution of D. silvarum in China. D. silvarum was mainly distributed in the north of China, especially in Inner Mongolia Autonomous Region and northeast China. Under the representative concentration pathway 4.5 scenario, the suitable area of D. silvarum in China will increase by 104 thousand square kilometers by 2070, and the new suitable areas are mainly located in Hunan, Qinghai, Jiangxi, and Zhejiang provinces. Conclusion Altitude may be the main factors affecting the distribution of D. silvarum, and the distribution range of D. silvarum will be expanded in future climate scenarioes.

Key words: Dermacentor silvarum, MaxEnt model, Distribution region, Environmental factor

中图分类号:

R384.4

刘凯, 姚晓燕, 寸得娇, 张仪, 李兰花. 气候环境因子对我国森林革蜱适生区的影响研究[J]. 中国媒介生物学及控制杂志, 2021, 32(6): 732-735.

LIU Kai, YAO Xiao-yan, CUN De-jiao, ZHANG Yi, LI Lan-hua. Effects of climatic and environmental factors on the potential geographic distribution of Dermacentor silvarum in China[J]. Chinese Journal of Vector Biology and Control, 2021, 32(6): 732-735.

参考文献

[1] 刘宇婷,黄雪玲,张汉林,等. 黑龙江省风景区及其周边区域蜱的调查[J]. 现代畜牧科技,2016(4):25-26. DOI:10.3969/j.issn.1673-1921.2016.04.016. Liu YT,Huang XL,Zhang HL,et al. Investigation of ticks in Heilongjiang scenic area and its surrounding areas[J]. Mod Anim Husb Sci Technol,2016(4):25-26. DOI:10.3969/j.issn. 1673-1921.2016.04.016.
[2] 巴音查汗,岳城,黄燕,等. 实验条件下森林革蜱生活史观察[J]. 地方病通报,2001,16(2):74-77. DOI:10.3969/j.issn. 1000-3711.2001.02.029. Bayinchahan,Yue C,Huang Y,et al. Observation on the life history of Dermacentor silvarum under the condition of experiment[J]. Endem Dis Bull,2001,16(2):74-77. DOI:10.3969/j.issn. 1000-3711.2001.02.029.
[3] 代玉烜,金瑭,徐海霞,等. 基于MaxEnt模型的小黄花茶在中国的适生区域研究[J]. 四川大学学报(自然科学版),2021,58(2):026002. DOI:10.19907/j.0490-6756.2021.026002. Dai YX,Jin T,Xu HX,et al. Study on the suitable area of Camellia luteoflora Y. K. Li in China based on MaxEnt model[J]. J Sichuan Univ(Nat Sci Ed),2021,58(2):026002. DOI:10.19907/j.0490-6756.2021.026002.
[4] 古丽米拉·克孜尔别克,邱琴,海拉提·克孜尔别克. 基于MaxEnt模型的阿勒泰金莲花潜在适生区预测[J]. 江苏农业科学,2021,49(4):82-87. DOI:10.15889/j.issn.1002-1302.2021. 04.016. Kezierbieke GLML,Qiu Q,Kezierbieke HLT. Prediction of potential suitable area of Trollius altaicus based on MaxEnt model[J]. Jiangsu Agric Sci,2021,49(4):82-87. DOI:10.15889/j.issn.1002-1302.2021.04.016.
[5] Escobar LE,Lira-Noriega A,Medina-Vogel G,et al. Potential for spread of the white-nose fungus (Pseudogymnoascus destructans) in the Americas:use of MaxEnt and NicheA to assure strict model transference[J]. Geospat Health,2014,9(1):221-229. DOI:10.4081/gh.2014.19.
[6] 陈智强,赵增辉,王远飞,等. 基于红外相机技术和MaxEnt模型的黑麂(Muntiacus crinifrons)活动节律分析和潜在适生区预测[J]. 生态学报,2021,41(9):3535-3547. DOI:10.5846/stxb201906041185. Chen ZQ,Zhao ZH,Wang YF,et al. Analysis of activity rhythm and prediction of potential suitable distribution of black muntjac (Muntiacus crinifrons) based on the ITCT and MaxEnt model[J]. Acta Ecol Sin,2021,41(9):3535-3547. DOI:10.5846/stxb201906041185.
[7] 辜云杰,李晓清,杨汉波. 基于MaxEnt生态位模型预测桢楠在中国的潜在适宜栽培区[J]. 西北林学院学报,2021,36(2):136-141. DOI:10.3969/j.issn.1001-7461.2021.02.20. Gu YJ,Li XQ,Yang HB. MaxEnt model-based prediction of suitable cultivation area of Phoebe zhennan in China[J]. J Northwest For Univ,2021,36(2):136-141. DOI:10.3969/j.issn. 1001-7461.2021.02.20.
[8] 吴瑞婵,甘淑,于丽君,等. 最大熵模型的巴基斯坦遗址预测分布研究[J]. 测绘科学,2021,46(3):96-103. DOI:10.16251/j.cnki.1009-2307.2021.03.015. Wu RC,Gan S,Yu LJ,et al. The study of predictive distribution of Pakistani sites based on MaxEnt model[J]. Sci Surv Mapp,2021,46(3):96-103. DOI:10.16251/j.cnki.1009-2307.2021.03.015.
[9] 张蕾,黄大鹏,杨冰韵. RCP 4.5情景下中国人口对高温暴露度预估研究[J]. 地理研究,2016,35(12):2238-2248. DOI:10.11821/dlyj201612004. Zhang L,Huang DP,Yang BY. Future population exposure to high temperature in China under RCP 4.5 scenario[J]. Geogr Res,2016,35(12):2238-2248. DOI:10.11821/dlyj201612004.
[10] 赵国平. 中国蜱类空间分布及其危害预测[D]. 北京:中国人民解放军军事科学院,2018. Zhao GP. Spatial distribution of ticks and their hazard prediction in China[D]. Beijing:Academy of Military Science of Chinese People's Liberation Army,2018.
[11] Pukhovskaya NM,Morozova OV,Vysochina NP,et al. Prevalence of Borrelia burgdorferi sensu lato and B. miyamotoi in ixodid ticks in the Far East of Russia[J]. Int J Parasitol Parasit Wildl,2019,8:192-202. DOI:10.1016/j.ijppaw.2019.01.005.
[12] Gaye M,Amanzougaghene N,Laidoudi Y,et al. Hymenopteran parasitoids of hard ticks in western Africa and the Russian far east[J]. Microorganisms,2020,8(12):1992. DOI:10.3390/microorganisms8121992.
[13] Rubel F,Brugger K,Belova OA,et al. Vectors of disease at the northern distribution limit of the genus Dermacentor in Eurasia:D. reticulatus and D. silvarum[J]. Exp Appl Acarol,2020,82(1):95-123. DOI:10.1007/s10493-020-00533-y.
[14] 姚文炳,陈国定. 森林革蜱生活史与温、湿度的关系[J]. 昆虫学报,1981,24(2):233-236. DOI:10.16380/j.kcxb.1981.02.022. Yao WB,Chen GD. Duration of the life-history of Dermacentor silvarum olenev. (acari:ixodidae) under different temperatures and humidities[J]. Acta Entomol Sin,1981,24(2):233-236. DOI:10.16380/j.kcxb.1981.02.022.
[15] Hong CP,Zhang Q,Zhang Y,et al. Impacts of climate change on future air quality and human health in China[J]. Proc Natl Acad Sci USA,2019,116(35):17193-17200. DOI:10.1073/pnas. 1812881116.

气候环境因子对我国森林革蜱适生区的影响研究

Effects of climatic and environmental factors on the potential geographic distribution of Dermacentor silvarum in China

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