湖北农业科学 ›› 2021, Vol. 60 ›› Issue (13): 127-133.doi: 10.14088/j.cnki.issn0439-8114.2021.13.026

• 信息工程 • 上一篇    下一篇

基于GIS的夷陵区松材线虫入侵松林时空分布特征分析

周丹1, 肖正利2, 赵勇3, 田静波4, 李祖梅5, 敬顺华2   

  1. 1.夷陵区自然资源和规划局,湖北 宜昌 443100;
    2.远安县林业局,湖北 宜昌 444200;
    3.夷陵区森林植物检疫站,湖北 宜昌 443100;
    4.夷陵区分乡镇林业管理站,湖北 宜昌 443100;
    5.夷陵区黄花镇林业管理站,湖北 宜昌 443100
  • 收稿日期:2020-08-22 出版日期:2021-07-10 发布日期:2021-07-26
  • 作者简介:周 丹(1982-),女,湖北随州人,主要从事森林资源调查与林业工程项目编制,(电话)13477124639(电子信箱)174187671@qq.com。
  • 基金资助:
    湖北省林业有害生物防治经费项目(2019-308-001-010)

Spatial and temporal distribution of Bursaphelenchus xylophilus in Yiling district based on GIS

ZHOU Dan1, XIAO Zheng-li2, ZHAO Yong3, TIAN Jing-bo4, LI Zu-mei5, JING Shun-hua2   

  1. 1. Yiling District Natural Resources and Planning Bureau,Yichang 443100,Hubei,China;
    2. Forestry Bureau of Yuan'an County,Yichang 444200,Hubei,China;
    3. Forest Plant Quarantine Station of Yiling District,Yichang 443100,Hubei,China;
    4. Yiling District Branch Township Forestry Management Station,Yichang 443100,Hubei,China;
    5. Forestry Management Station of Huanghua Toun,Yiling District,Yichang 443100,Hubei,China
  • Received:2020-08-22 Online:2021-07-10 Published:2021-07-26

摘要: 以夷陵区松材线虫病疫木采伐GIS管理为例,收集了2019—2020年2个年度地面疫木空间位置,运用ArcGIS软件空间数据管理功能,汇集成点、面图层;采用空间平面可视化、趋势面和空间自相关、最近邻距离指数、核密度时空聚类分析,绘制空间信息图,直观地了解松材线虫病发生的空间格局趋势的演变,阐述松材线虫病变化规律与扩散特征。结果表明,该区域松材线虫病疫情在防治措施下,2020年受害松林与疫点(小班)下降。2个年度松材线虫病疫情趋势均为东西部、东部值较高,趋势线近似直线,疫点暴发呈现锥形中心点聚集性扩散。疫情时空聚类特征整体格局呈现空间聚集性,疫源传播致松树受害高度聚集性,疫点分布模式为聚集分布。该区域松材线虫病疫情存在一定数量疫点,分布区域广,疫情短期内难以根除,应加大疫木的清理,阻挡疫情扩散蔓延新区域,减少疫点,调节松树密度,减少松褐天牛虫口密度,建立阔叶林生态系统。

关键词: GIS, 松材线虫, 时空, 空间特征, 夷陵区

Abstract: Taking the GIS management of Bursaphelenchus xylophilus tree felling in Yiling district as an example,the spatial positions of epidemicwood in the two years from 2019 to 2020 were collected. The spatial data management function of ArcGIS software was used to collect point and surface layers. Spatial information map was drawn by spatial visualization, trend surface, spatial autocorrelation, nearest neighbor distance index and spatial-temporal clustering analysis ofkernel density, so as to intuitively understand the evolution of spatial pattern trend of pine wood nematode disease, and to explain the variation rule and diffusion characteristics of pine wood nematode disease. Analysis results showed that under the control measures, the affected pine forests and epidemic sites (subcompartment) decreased in 2020. The epidemic trend of pine nematode in the two years was in the east and west, with a high value in the east, and the trend line was almost straight line. The outbreak of pine nematode showed cone-shaped central point aggregation and spread. The spatial and temporal clustering characteristics of the epidemic show spatial clustering in the overall pattern, high clustering of pine victims caused by the spread of the epidemic source and clustering distribution pattern of epidemic points. The epidemic situation of Bursaphelenchus xylophilus disease in this region has a certain number of epidemic spots and a wide distribution area, the epidemic situation is difficult to eradicate in a short time. On the comprehensive measures, weshould increase the clearing of epidemic trees, block the spread of the epidemic situation in the new areas, reduce the epidemic spots, regulate the density of pine trees by forest management, reduce the density of Monochamus alternatus and establish a broad-leaved forest ecosystem.

Key words: GIS, Bursaphelenchus xylophilus, time and space, spatial characteristics, Yiling district

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