基于无人机航拍和生态位模型的草原毛虫宜生区研究
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

青海省自然科学基金项目(2019-ZJ-7054)和祁连山国家公园草地害虫调查监测项目(青林保[2021]485号)


Mapping Inhabitable Area of Gynaephora alpherakii Based on UAV Observation and Ecological Niche Model
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    受观测手段限制,目前对区域尺度草原毛虫(Gynaephora alpherakii)空间分异特征和宜生区分布尚不清楚,本研究基于无人机航拍分析系统获取祁连山国家公园青海片区高寒草原毛虫空间分异特征,结合BIOMOD生态位模型和观测样地所对应草地植被、土壤、气候和地形等环境因子,获取祁连山国家公园青海片区历年草原毛虫生态位,划分草原虫害宜生区。结果表明:所有野外观测样点中,草原毛虫空间分布异质性较大,其出现的观测样点占所有观测的5.77%,不同监测点总数为1~2046头,同一监测点内为0~136头。所有生态位模型中,RF模型对草原毛虫生态位模拟精度最高,Kappa系数、TSS和AUC分别为0.6、0.75和0.93。草原毛虫一级到三级宜生区面积较小(占总面积的14.68%),主要分布于研究区中东部,四级和五级宜生区面积较大(占总面积的85.32%),主要分布在研究区西部。无人机航拍技术高效地提供了草原毛虫空间分布研究的基础数据,可为进一步定量认识草原毛虫的生态学地位及虫害预警、防控措施的制定提供理论和实践基础。

    Abstract:

    Gynaephora alpherakii (GA) is mainly distributed in the Qinghai-Tibet Plateau of China. As one of the most important insect pests, the occurrence of the GA seriously affects the growth of grass, reducing the grassland production and preventing the development of the animal husbandry. It is vital for monitoring its biological characteristics, occurrence regularity, quantitative changes and main effect factors. However, limited by the field observation,the spatial distribution and inhabitable area were still unclear. The regional distribution (Qilian Mountain National Park in Qinghai Province) was investigated based on UAV aerial photographing technology. The ecological niche was constructed based on the environmental factors (grassland vegetation, soil, climate and topography), combined with field observation and BIOMOD. Based on the above mentioned, the inhabitable area of GA was divided. The results showed that among the all field observation sites, the spatial distribution of prairie caterpillars was heterogeneous, with the number of variations from 1 to 2046 in different observation sites and 0 to 136 in different aerial photographs;the random forest model exhibited the best performance with Kappa, TSS and AUC were 0.6, 0.75 and 0.93, respectively;the inhabitable area of the first-grade to the third-grade was small with 14.68% of study area, and located in mid-eastern of study area, the inhabitable area of the fourth-grade and the fifth-grade was large with 85.32% of study area, mainly located in western of study area. The research result showed that UAV can be potentially used to obtain the basic data for GA distribution modeling, which provided a theoretical and practical basis for further quantitative understanding of the ecological status and help for the early warning and management practices of GA outbreak.

    参考文献
    相似文献
    引证文献
引用本文

于红妍,张世荣,赵兴群,宜树华,孟宝平,吕燕燕.基于无人机航拍和生态位模型的草原毛虫宜生区研究[J].农业机械学报,2023,54(3):224-233. YU Hongyan, ZHANG Shirong, ZHAO Xingqun, YI Shuhua, MENG Baoping, Lü Yanyan. Mapping Inhabitable Area of Gynaephora alpherakii Based on UAV Observation and Ecological Niche Model[J]. Transactions of the Chinese Society for Agricultural Machinery,2023,54(3):224-233.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2022-06-14
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2023-03-10
  • 出版日期: