松材线虫病发生点格局及影响因素

doi:10.13287/j.1001-9332.202209.030

应用生态学报 ›› 2022, Vol. 33 ›› Issue (9): 2530-2538.doi: 10.13287/j.1001-9332.202209.030

松材线虫病发生点格局及影响因素

刘强^1,2,3, 吴志伟^1,2,3*, 林世滔⁴, 李顺^1,2,3, 方志斌^1,2,3

¹江西师范大学鄱阳湖湿地与流域研究教育部重点实验室, 南昌 330022;
²江西师范大学地理与环境学院, 南昌 330022;
³江西省自然灾害监测预警与评估重点实验室, 南昌 330022;
⁴江西环境工程职业学院, 江西赣州 341000

收稿日期:2021-07-21 接受日期:2022-05-09 出版日期:2022-09-15 发布日期:2023-03-15
通讯作者: * E-mail: wuzhiwei@jxnu.edu.cn
作者简介:刘强, 男, 1997年生, 硕士研究生。主要从事景观生态与森林病虫害干扰研究。E-mail: liu25272021@163.com
基金资助:
国家自然科学基金项目(31960253)资助。

Spatial point pattern analysis of pine wilt disease occurrence and its influence factors

LIU Qiang^1,2,3, WU Zhi-wei^1,2,3*, LIN Shi-tao⁴, LI Shun^1,2,3, FANG Zhi-bing^1,2,3

¹Ministry of Education Key Laboratory of Poyang Lake Wetland and Watershed Research, Jiangxi Normal University, Nanchang 330022, China;
²School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China;
³Key Laboratory of Natural Disaster Monitoring Early Warning and Assessment of Jiangxi Province, Nanchang 330022, China;
⁴Jiangxi Environmental Engineering Vocational College, Ganzhou 341000, Jiangxi, China

Received:2021-07-21 Accepted:2022-05-09 Online:2022-09-15 Published:2023-03-15

摘要/Abstract

摘要： 松材线虫病在中国大陆造成了巨大的生态与经济价值损失,南方地区尤为严重,分析松材线虫病空间分布、量化环境因素对其发生的影响对于松材线虫病的防控整治具有重要意义。本研究以江西省赣州市南康区松材线虫病为研究对象,采用核平滑密度、Ripley’s K函数、点过程模拟等空间点格局分析方法,探讨了区域松材线虫病发生的空间格局及其对环境变量的响应。结果表明: 研究区松材线虫病的发生不是随机分布,而是存在显著的空间聚集区。地形因子、植被因子和人类活动因子是影响松材线虫病空间异质性分布的主要因素。空间点格局分析表明,海拔、坡度、距最近道路距离、道路密度、距最近居民点距离、郁闭度和植被类型对松材线虫病的发生具有重要影响。在森林病害管理中,除了加强因人类活动引起病害传播源的管控外,还应该考虑地形、植被类型等特征进行松材线虫病害的综合预警监测。

关键词: 松材线虫病, 空间点格局, 空间分布, 人类活动

Abstract: Pine wilt disease has caused huge losses in ecological and economic values in China, especially in the southern parts. Analyzing the spatial distribution of pine wilt disease and quantifying the impact of environmental factors on its occurrence were of great significance for its prevention and control. In this study, we examined the spatial pattern of pine wilt disease occurrence and its response to environmental variables in Nankang District, Ganzhou, Jiangxi Province, using kernel-smoothing density, Ripley’s K function, and point process model. The results showed that the occurrence of pine wilt disease in the study region was not randomly distributed, but was obviously clustered at some areas. Terrain, vegetation, and human activity were the main factors affecting the heterogeneous distribution of pine wilt disease. Spatial point pattern analysis showed that altitude, slope, distance to the nearest road, road density, distance to nearest settlement, canopy closure, and vegetation type had significant effects on the occurrence of pine wilt disease. In addition to strengthening the control of disease transmission caused by human activities, we should also consider the effects of terrain and vegetation types for early warning and monitoring in forest disease management.

Key words: pine wilt disease, spatial point pattern, spatial distribution, human activity

刘强, 吴志伟, 林世滔, 李顺, 方志斌. 松材线虫病发生点格局及影响因素[J]. 应用生态学报, 2022, 33(9): 2530-2538.

LIU Qiang, WU Zhi-wei, LIN Shi-tao, LI Shun, FANG Zhi-bing. Spatial point pattern analysis of pine wilt disease occurrence and its influence factors[J]. Chinese Journal of Applied Ecology, 2022, 33(9): 2530-2538.

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松材线虫病发生点格局及影响因素

Spatial point pattern analysis of pine wilt disease occurrence and its influence factors

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