中国农业科学 ›› 2026, Vol. 59 ›› Issue (18): 4056-4075.doi: 10.3864/j.issn.0578-1752.2026.18.009

• 专题:面向农业害虫精准防控的机制解析、技术优化与决策支撑 • 上一篇    下一篇

不同类型作物对北京地区天蛾-寄主植物互作网络的重要性研究

李灏元1(), 杨采青1(), 陈丹1, 许振邦2, 门雅惠1, 高菲1, 张爱兵1()   

  1. 1 首都师范大学生命科学学院, 北京 100048
    2 云南大学国际河流与生态安全研究院, 昆明 650500
  • 收稿日期:2026-04-03 接受日期:2026-06-18 出版日期:2026-09-16 发布日期:2026-09-20
  • 通信作者:
    张爱兵,E-mail:
    杨采青,E-mail:
  • 联系方式: 李灏元,E-mail:captain_if@163.com。
  • 基金资助:
    国家自然科学基金面上项目(32570537); 科技基础资源调查专项(2025FY100802-2); “十四五”北京市属高校高水平科研创新团队支持计划(BPHR20220114); 北京“高创计划”-青年人才托举工程(20250788); 北京市教育委员会科技计划(KM202410028015)

The Importance of Different Crop Types to the Hawkmoth-Host Plant Interaction Network in Beijing Area

LI HaoYuan1(), YANG CaiQing1(), CHEN Dan1, XU ZhenBang2, MEN YaHui1, GAO Fei1, ZHANG AiBing1()   

  1. 1 College of Life Sciences, Capital Normal University, Beijing 100048
    2 Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500
  • Received:2026-04-03 Accepted:2026-06-18 Published:2026-09-16 Online:2026-09-20

摘要:

【目的】天蛾幼虫取食寄主植物叶片致使植株受损甚至死亡,对区域农林业发展造成严重威胁。论文旨在揭示北京地区不同类型的经济作物对天蛾害虫的潜在重要性,从而识别各类型作物对应的主要天蛾害虫物种并提出防控意见。【方法】构建北京地区的天蛾-寄主植物互作网络,基于连接度、嵌套性和模块性等指标分析网络的结构;使用模块间连通性(c值)和模块内度(z值)量化各节点在网络模块结构中的属性,采用次生灭绝曲线量化节点对于网络稳健性的影响,并使用Kruskal-Wallis检验比较不同类型作物对网络稳健性和模块结构的作用是否具有显著差异;对于网络中连接较多的天蛾,分析其食谱占比并依据不同作物类型给出防控建议。【结果】天蛾-寄主植物互作网络的连接度C=0.043,嵌套性N=3.67,模块性Q=0.668。农业作物类包含2个模块枢纽,林业作物类包含2个模块枢纽,药用作物类包含2个模块枢纽和3个连接者节点,观赏作物类包含2个模块枢纽和2个连接者节点,乡土树木类包含3个模块枢纽和1个连接者节点,其他作物类包含4个模块枢纽和2个连接者节点,非经济作物类中的植物均属于边缘节点。各类别的寄主植物对网络稳健性的影响无显著差异,而各类型作物的模块内度均显著高于非经济作物(农业作物:P=0.0015;林业作物:P=0.0030;药用作物:P=0.0010;观赏作物:P=0.0069;乡土树木:P=0.0006;其他作物:P=0.0011)。【结论】北京地区的天蛾-寄主植物互作网络呈现出连接稀疏、分散的互作格局,不同天蛾害虫对各类作物均具有较高的潜在危害风险。在北京地区开展防控工作时,对全部寄主植物而言,应优先防治在网络中具有较高中心性的物种,如丁香天蛾(Psilogramma increta)、白薯天蛾(Agrius convolvuli)等;对全部类别作物而言,除重点保护农林业作物外,还需将其他经济作物和乡土树木纳入保护范围;对单一类型的作物而言,要对以其为主要取食对象的天蛾物种进行特异性防治;此外,对于在北京地区有分布记录、潜在寄主植物但目前种群规模较小的天蛾物种,应警惕其暴发风险。

关键词: 农业作物, 林业作物, 天蛾科昆虫, 寄主植物, 互作网络

Abstract:

【Objective】Hawkmoth larvae feed on the leaves of host plants, causing plant damage or even death, thereby posing a serious threat to regional agricultural and forestry development. This paper aims to reveal the potential importance of different types of economic crops to hawkmoth pests in Beijing area, identify the main hawkmoth pest species associated with each crop type, and propose prevention and control strategies.【Method】A hawkmoth-host plant interaction network in Beijing area was constructed. Network structure was analyzed using metrics such as connectance, nestedness, and modularity. The roles of individual nodes within the network’s modular structure were quantified using inter-module connectivity (c-value) and within-module degree (z-value). The impact of nodes on network robustness was assessed using secondary extinction curves. The Kruskal-Wallis test was employed to determine whether there were significant differences in the effects of different crop types on network robustness and modular structure. For hawkmoth species with high connectivity in the network, their dietary composition was analyzed, and prevention and control recommendations were proposed based on different crop types.【Result】The hawkmoth-host plant interaction network exhibited a connectance C=0.043, nestedness N=3.67, and modularity Q=0.668. The agricultural crop category contained two module hubs, the forestry crop category contained two module hubs, the medicinal crop category contained two module hubs and three connectors, the ornamental crop category contained two module hubs and two connectors, the native tree category contained three module hubs and one connector, the other crop category contained four module hubs and two connectors, and plants in the non-economic crop category were all peripheral nodes. There was no significant difference among crop categories in their impact on network robustness. However, the within-module degree of all economic crop categories was significantly higher than that of non-economic crops (agricultural crops: P=0.0015; forestry crops: P=0.0030; medicinal crops: P=0.0010; ornamental crops: P=0.0069; native trees: P=0.0006; other crops: P=0.0011).【Conclusion】The hawkmoth-host plant interaction network in Beijing area exhibits a sparse and dispersed interaction pattern. Different hawkmoth pests pose high potential risks to various economic crop types. For prevention and control efforts in Beijing area, species with high centrality in the network, such as Psilogramma increta and Agrius convolvuli, should be prioritized for control across all host plants. For all crop categories, in addition to the protection of key agricultural and forestry crops, other economic crops and native trees should also be included in the scope of protection. For individual crop types, specific control measures should target hawkmoth species that primarily feed on them. Furthermore, for hawkmoth species that have distribution records in Beijing area and potential host plants but currently have small population sizes, vigilance should be exercised regarding the risk of population outbreaks.

Key words: agricultural crop, forestry crop, Sphingidae insect, host plant, interaction network