昆虫学报 ›› 2024, Vol. 67 ›› Issue (6): 827-838.doi: 10.16380/j.kcxb.2024.06.010

• 研究论文 • 上一篇    下一篇

基于MaxEnt模型的祁连山南麓门源草原毛虫分布区预测

刘玉英1, 严林1, 于红妍2, 牟丹1, 赵啟军1林扎西尖措2, 高太侦3, 谢久祥1,*   

  1. (1. 青海大学农牧学院, 西宁 810016; 2. 祁连山国家公园青海服务保障中心, 西宁 810000; 3. 天峻县林业和草原站, 天峻 817200)
  • 出版日期:2024-06-20 发布日期:2024-07-24

Prediction of the potential geographical distribution areas of Gynaephora menyuanensis (Lepidoptera: Lymantriidae) in the southern foothills of the Qilian Mountains based on the MaxEnt model

LIU Yu-Ying1, YAN Lin1, YU Hong-Yan2, MOU Dan1, ZHAO Qi-Jun1, LING Zhaxijiancuo2, GAO Tai-Zhen3, XIE Jiu-Xiang1,*   

  1. (1. College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China; 2.Service Guarantee Center of Qilian Mountain National Park in Qinghai, Xining 810000, China; 3. Tianjun County Forestry and Grassland Station, Tianjun 817200, China)
  • Online:2024-06-20 Published:2024-07-24

摘要: 【目的】门源草原毛虫Gynaephora menyuanensis是为害青藏高原高寒草甸的主要害虫,严重妨碍草地生态和畜牧业发展,了解其在祁连山南麓的实际分布区和潜在适生区对门源草原毛虫的监测和防治以及草地生态的保护具有重要意义。【方法】本研究在对祁连山南麓门源草原毛虫的分布进行大量实地调查(147个位点)的基础上,采用专业统计分析软件IBM SPSS 22.0筛选影响门源草原毛虫分布的环境因子,应用生态位模型MaxEnt 3.4.4和地理信息系统软件ArcGIS 10.8预测祁连山南麓门源草原毛虫2021-2040年的适生区范围。【结果】影响门源草原毛虫分布的主要环境因子为9月平均降水量、 9月平均太阳辐射等; 2021-2040年门源草原毛虫在祁连山南麓的适生区变化趋势为高适生区和非适生区的面积呈减少趋势,中适生区和低适生区面积呈增加趋势;检测模型的受试者工作特征(receiver operating characteristic, ROC)曲线下的面积(area under ROC, AUC)值为0.924,模拟结果准确性较好。【结论】本研究结果为阐明门源草原毛虫的地理分布规律及其监测防治提供了理论参考。全球气候变化为门源草原毛虫的栖息地扩张提供了适宜的条件,建议根据门源草原毛虫的潜在适生等级,构建“分级应对”的监测和早期预警体系与防控模式,以应对害虫为害。

关键词: 门源草原毛虫, 青藏高原, 草地保护, 草地害虫, 潜在分布区, 分布规律

Abstract: 【Aim】 The grassland caterpillar, Gynaephora menyuanensis is an important pest to alpine meadows on the Qinghai-Tibetan Plateau and seriously impedes the development of grassland ecology and animal husbandry. Understanding the actual distribution area and potential habitats of G. menyuanensis in the southern foothills of the Qilian Mountains is important for its monitoring and control as well as the protection of grassland ecology there. 【Methods】Based on a large number of field surveys (147 sites), the statistical analysis software IBM SPSS 22.0 was used to screen the environmental factors affecting the distribution of G. menyuanensis, and the ecological niche model MaxEnt 3.4.4 and the geographic information system software ArcGIS 10.8 were applied to predict the range of suitable habitats of G. menyuanensis from 2021 to 2040. 【Results】The main environmental factors affecting the distribution of G. menyuanensis were mean precipitation in September, mean solar radiation in September, and so on. The change trend of suitable habitats of G. menyuanensis in the southern foothills of the Qilian Mountains from 2021 to 2040 indicated a decreasing trend in the area of the highly suitable habitats and unsuitable habitats, and an increasing trend in the moderately suitable habitats and lowly suitable habitats. The AUC [area under the receiver operating characteristic (ROC) curve] value of the detection model was 0.924, and the simulation results behaved good accuracy. 【Conclusion】The results of this study provide a theoretical reference for clarifying the rules of the geographical distribution of G. menyuanensis and the monitoring and control of this insect. Global climate change provides suitable conditions for the expansion of the habitats of G. menyuanensis, and it is recommended that a “graded response” monitoring and early warning system and a prevention and control model should be constructed according to the potential suitability level of G. menyuanensis to cope with pest infestation.

Key words: Gynaephora menyuanensis, Qinghai-Tibet Plateau, grassland conservation, grassland insects, potential distribution area, distribution rules