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

doi:10.11853/j.issn.1003.8280.2022.03.018

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

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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-hua^1,2

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. 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

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

CLC Number:

YANG Yi-tao, DU Yu-zhuang, LI Yi-ran, CUN De-jiao, YAO Xiao-yan, LI Lan-hua. Prediction of potential distribution of Alocinma longicornis in China based on MaxEnt model[J]. Chinese Journal of Vector Biology and Control, 2022, 33(3): 409-413.

杨艺涛, 杜玉壮, 李乙冉, 寸得娇, 姚晓燕, 李兰花. 基于MaxEnt模型对我国长角涵螺潜在分布区的预测研究[J]. 中国媒介生物学及控制杂志, 2022, 33(3): 409-413.

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

基于MaxEnt模型对我国长角涵螺潜在分布区的预测研究

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