Chinese Journal of Vector Biology and Control ›› 2022, Vol. 33 ›› Issue (3): 409-413.DOI: 10.11853/j.issn.1003.8280.2022.03.018

• Early Warning and Forecast • Previous Articles     Next Articles

Prediction of potential distribution of Alocinma longicornis in China based on MaxEnt model

YANG Yi-tao1, DU Yu-zhuang1, LI Yi-ran1, CUN De-jiao1, YAO Xiao-yan1, LI Lan-hua1,2   

  1. 1. School of Public Health, Weifang Medical University, Weifang, Shandong 261053, China;
    2. Department of Vector-Borne Tropical Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, China
  • Received:2021-12-27 Online:2022-06-20 Published:2022-06-11
  • Supported by:
    Shandong Innovation and Entrepreneurship Training Program for College Students (No.S202110438181,S202110438206); National Natural Science Foundation of China (No. 81902095); Natural Science Foundation of Shandong Province of China (No.ZR2019MH093); Shandong Province College Youth Talent Introduction Plan (No. 2019-6-156); Weifang Science and Technology Development Plan (No. 2021YX038)

基于MaxEnt模型对我国长角涵螺潜在分布区的预测研究

杨艺涛1, 杜玉壮1, 李乙冉1, 寸得娇1, 姚晓燕1, 李兰花1,2   

  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媒传热带病室, 上海 200025
  • 通讯作者: 李兰花,E-mail:orchid8@sina.com
  • 作者简介:杨艺涛,女,本科在读,从事传染病媒介生物研究,E-mail:yangyitao0119@163.com
  • 基金资助:
    山东省大学生创新训练项目(S202110438181,S202110438206);国家自然科学基金(81902095);山东省自然科学基金(ZR2019MH093);山东省高等学校青创人才引育计划(2019-6-156) ;潍坊市科技发展计划(2021YX038)

Abstract: Objective To analyze the climate and geographical factors affecting the distribution of Alocinma longicornis in China, and to predict its potential habitat areas in China. Methods English and Chinese articles reporting the geographical distribution of A. longicornis in China were retrieved for extraction of the geographic information. The impact of climate and geographical factors on the distribution of A. longicornis was analyzed and the suitable habitats were predicted using a MaxEnt model. Results Elevation (48.80%), precipitation of driest month (22.70%), and normalized difference water index (6.70%) had great influence on the distribution of A. longicornis in China. The habitats with high, medium, and low suitability were 0.306 4, 0.606 0, and 1.010 0 million km2, respectively. Areas with high suitability were mainly located in Zhejiang, Jiangsu, Shanghai, Anhui, Hunan, and Hubei provinces (municipality). Conclusion A. longicornis is mainly distributed in China south of the Qinling-Huaihe Line. Elevation, precipitation of driest month, and normalized difference water index are the main factors affecting its distribution.

Key words: Alocinma longicornis, MaxEnt model, Climate and geographical factors, Suitable habitat

摘要: 目的 分析影响我国长角涵螺分布的气候和地理因子,探索长角涵螺在我国的潜在适生区。方法 检索公开发表的我国长角涵螺地理分布相关中、英文文献,从中提取地理位置信息,运用最大熵模型(MaxEnt)分析气候和地理因子对长角涵螺潜在分布区的影响,并预测长角涵螺在我国的潜在适生区。结果 主要气候和地理因子中,海拔(贡献率48.80%)、最干月降水量(贡献率22.70%)和归一化水体指数(贡献率6.70%),对长角涵螺的分布影响较大。我国长角涵螺高、中、低适生区面积分别为30.64、60.60和101.00万km2。其中,高适生区主要位于浙江、江苏、上海、安徽、湖南、湖北省(直辖市)等地。结论 长角涵螺主要分布于我国秦岭淮河以南地区,海拔、最干月降水量和归一化水体指数可能是影响其分布的主要因素。

关键词: 长角涵螺, 最大熵模型, 气候和地理因子, 适生区

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