中国媒介生物学及控制杂志 ›› 2023, Vol. 34 ›› Issue (4): 542-547.DOI: 10.11853/j.issn.1003.8280.2023.04.018

• 预测预警 • 上一篇    下一篇

气候变化对我国黑胸大蠊分布的影响研究

谢梦琪(), 寸得娇, 姚晓燕, 王飞, 李兰花(), 田娜()   

  1. 潍坊医学院科研处, 山东 潍坊 261053
  • 收稿日期:2022-12-13 出版日期:2023-08-20 发布日期:2023-08-17
  • 通讯作者: 李兰花,田娜
  • 作者简介:谢梦琪,女,在读本科,主要从事传染病媒介生物研究,E-mail:xiemengqi95@163.com
  • 基金资助:
    国家自然科学基金(81902095);山东省自然科学基金(ZR2019MH093);山东省医药卫生科技发展计划(202112050556);潍坊市科技发展计划(医学类)(2021YX038);潍坊医学院校级大学生创新创业训练计划项目(X2022094)

Effects of climate change on the distribution of Periplaneta fuliginosa in China

Meng-qi XIE(), De-jiao CUN, Xiao-yan YAO, Fei WANG, Lan-hua LI(), Na TIAN()   

  1. Scientific Research Department, Weifang Medical University, Weifang, Shandong 261053, China
  • Received:2022-12-13 Online:2023-08-20 Published:2023-08-17
  • Contact: Lan-hua LI, Na TIAN
  • Supported by:
    National Natural Science Foundation of China(81902095);Natural Science Foundation of Shandeng Province of China(ZR2019MH093);Medical and Health Science and Technology Development Project of Shandong Province(202112050556);Weifang Science and Technology Development Plan project (Medical science)(2021YX038);Weifang Medical University Innovation and Entrepreneurship Training Program for College Students(X2022094)

摘要:

目的: 分析气候环境因素对我国黑胸大蠊地理分布的影响,预测预估不同气候条件下黑胸大蠊在我国的分布范围。方法: 检索全球生物多样性信息交换平台(GBIF)及公开发表文献,从中获取黑胸大蠊分布相关的地理位置信息,从公开网站获取气候和地理因子等环境因素信息,应用最大熵模型(MaxEnt)分析各因子对我国黑胸大蠊分布的影响,并预估当前和未来2041-2060年黑胸大蠊的潜在地理分布区。结果: 影响黑胸大蠊分布的各环境因素中,最干月降水量贡献率最大(贡献率为37.20%),其次是最湿月降水量(贡献率为15.20%)。当前气候条件下,黑胸大蠊主要分布于我国安徽、湖南、湖北、江苏、江西、四川等省份,高适生区面积达61.31万km2。预估结果表明,在共享社会经济路径(SSP)2-4.5情景下,未来2041-2060年我国黑胸大蠊适生区面积将减少4.29万km2结论: 降水量可能是影响黑胸大蠊分布的关键因素,未来我国黑胸大蠊适生区面积可能减少。

关键词: 黑胸大蠊, 最大熵模型, 环境因素, 分布, 适生区预测

Abstract:

Objective: To analyze the impact of climatic environmental factors on the geographical distribution of Periplaneta fuliginosa in China, and to predict and project the distribution range of P. fuliginosa in China under different climate conditions. Methods: The Global Biodiversity Information Facility and published literature for the geographical distribution information of P. fuliginosa in China were searched. Information on climatic and geographical factors was acquired from public websites. A maximum entropy model was applied to analyze the impact of the factors on the distribution of P. fuliginosa in China, and project the potential geographical distribution area of P. fuliginosa under current and future (2041-2060) conditions. Results: Among the environmental factors affecting the geographical distribution of P. fuliginosa, the precipitation in the driest month contributed most (contribution rate: 37.20%), followed by the precipitation in the wettest month (contribution rate: 15.20%). Under current climate conditions, P. fuliginosa was mainly distributed in Anhui, Hunan, Hubei, Jiangsu, Jiangxi, and Sichuan provinces, with the area of highly suitable habitats reaching 613 100 km2. Under the shared socioeconomic pathway SSP2-4.5 scenario, the suitable habitats of P. fuliginosa in China would decrease by 42 900 km2 in 2041-2060. Conclusions: Precipitation may be a key factor influencing the distribution of P. fuliginosa. The suitable habitats of P. fuliginosa in China may decrease in the future.

Key words: Periplaneta fuliginosa, MaxEnt, Environment conditions, Distribution, Suitable habitat projection

中图分类号: