昆虫学报 ›› 2025, Vol. 68 ›› Issue (3): 321-334.doi: 10.16380/j.kcxb.2025.03.008

• 研究论文 • 上一篇    下一篇

杭甬地区访花昆虫多样性及环境因子的影响

江虎强, 吴帆, 黄佳淇, 文嘉琪, 王临轩, 李红亮*   

  1. (中国计量大学生命科学学院, 杭州 310018)
  • 出版日期:2025-03-20 发布日期:2025-04-21

Diversity of flower-visiting insects and the influence of environmental factors in Hangzhou-Ningbo Area, East China

JIANG Hu-Qiang, WU Fan, HUANG Jia-Qi, WEN Jia-Qi, WANG Lin-Xuan, LI Hong-Liang*   

  1.  (College of Life Sciences, China Jiliang University, Hangzhou 310018, China)
  • Online:2025-03-20 Published:2025-04-21

摘要: 【目的】本研究旨在探究经济发达的杭甬地区访花昆虫的物种多样性及不同环境因子的影响。【方法】于2019-2023 年春、夏、秋三季(3月1日-11月31日)在杭州和宁波两地,采用随机调查与样线法结合对选取的20个样地进行访花昆虫类群调查。首先使用网捕法与马来氏网法进行访花昆虫采集,再利用双变量回归模型和冗余分析等对生境、海拔以及季节温度等环境因子对该地区访花昆虫类群的Shannon-Weiner多样性指数、Simpson优势度指数、Pielou均匀度指数与Margalef丰富度指数的影响进行分析。【结果】杭甬地区所采集访花昆虫共包含5目65科212种,主要有膜翅目(Hymenoptera)(占40.91%)、鳞翅目(Lepidoptera)(占29.00%)、鞘翅目(Coleoptera)(占11.57%)、双翅目(Diptera)(占9.94%)和半翅目(Hemiptera)(占8.57%)。在不同生境类型中,湿地的物种多样性最高且群落结构最为稳定,林地次之,山地物种多样性最低且群落结构最不稳定。对于不同海拔梯度,物种丰富度从高到低依次为较低海拔区(0-100 m)、中海拔区(100-200 m)和较高海拔区(>200 m),表明访花昆虫物种多样性随海拔升高而降低。此外,Shannon-Weiner多样性指数仅与最冷季度平均温度呈显著正相关。Simpson优势度指数与最干季度平均温度及最冷季度平均温度呈显著正相关,与气温季节性变动系数呈显著负相关,表明温度是影响该地区访花昆虫物种多样性的关键因素。【结论】杭甬地区的生境类型及环境因子对访花昆虫的多样性产生直接影响,从而进一步影响生态系统的保护与稳定性。


关键词: 访花昆虫; 物种多样性; 冗余分析; 环境因子, 杭甬地区

Abstract: 【Aim】This study aims to explore the species diversity of flower-visiting insects and the effects of different environmental factors in the economically developed Hangzhou-Ningbo Area, East China. 【Methods】 We conducted a survey of flower-visiting insect taxa at 20 collecting localities in Hangzhou and Ningbo in spring, summer and fall (March 1st-November 31st) during 2019-2023, using the combination of random surveys and the sample line method. Firstly, we collected flower-visiting insects by netting and Malayan netting, then we analyzed the effects of habitats, altitudes and seasonal temperatures and other environmental factors on the Shannon-Weiner diversity index, Simpson’s dominance index, Pielou’s evenness evenness index and Margalef’s richness index of flower-visiting insect taxa in this area by using bivariate regression models and redundancy analyses.【Results】 There were 212 species of flower-visiting insects belonging to 65 families of 5 orders, including Hymenoptera (accounting for 40.91%), Lepidoptera (accounting for 29.00%), Coleoptera (accounting for 11.57%), Diptera (accounting for 9.94%) and Hemiptera (accounting for 8.57%). Among the different habitat types, wetland had the highest species diversity and the most stable community structure, followed by woodland, and mountain had the lowest species diversity and the least stable community structure. For different altitude gradients, species richness was ranked in the descending order of lower altitude areas (0-100 m), medium altitude areas (100-200 m), and higher altitude areas (>200 m), indicating that the species diversity of flower-visiting insects decreased with altitude increasing. In addition, the Shannon-Weiner diversity index was only significantly positively correlated with the mean temperature of the coldest quarter. Simpson’s dominance index was significantly positively correlated with the mean temperature of the driest season and the mean temperature of the coldest season, and significantly negatively correlated with the temperature seasonality, indicating that temperature was the key factor affecting the species diversity of flower-visiting insects in this region. 【Conclusion】 The habitat types and environmental factors in Hangzhou-Ningbo Area have a direct impact on the diversity of flower-visiting insects, which in turn affects the protection and stability of the ecosystem.

Key words: Flower-visiting insects, species diversity, redundancy analysis, environmental factors, Hangzhou-Ningbo Area