生物多样性 ›› 2023, Vol. 31 ›› Issue (10): 23152.  DOI: 10.17520/biods.2023152

• 研究报告: 动物多样性 • 上一篇    下一篇

关帝山不同海拔昆虫功能群特征及分布格局

高瑞贺1,2,*(), 范世明1,2, 董江海1,2, 李蓉姣1,2, 张志伟1,2   

  1. 1.山西农业大学林学院, 山西晋中 030800
    2.山西省林业危险性有害生物检验鉴定中心, 山西晋中 030800
  • 收稿日期:2023-05-15 接受日期:2023-07-03 出版日期:2023-10-20 发布日期:2023-11-23
  • 通讯作者: *E-mail: gaoruihe1989@163.com
  • 基金资助:
    山西省应用基础研究计划青年科技研究基金(20210302124062);山西省回国留学人员科研资助项目(2023-087);山西省高等学校科技创新项目(2021L128);山西农业大学科技创新基金(2017YJ20)

Characteristics and vertical distribution of insect functional groups along an altitude gradient in Guandi Mountains

Ruihe Gao1,2,*(), Shiming Fan1,2, Jianghai Dong1,2, Rongjiao Li1,2, Zhiwei Zhang1,2   

  1. 1. College of Forestry, Shanxi Agricultural University, Jinzhong, Shanxi 030800
    2. Shanxi Dangerous Forest Pest Inspection and Identification Center, Jinzhong, Shanxi 030800
  • Received:2023-05-15 Accepted:2023-07-03 Online:2023-10-20 Published:2023-11-23
  • Contact: *E-mail: gaoruihe1989@163.com

摘要:

为阐明关帝山垂直海拔梯度上昆虫功能群变化特征及环境因子对其空间分布格局的影响, 本研究在关帝山林区海拔1,600-2,800 m范围内设置7个样地, 于2020年和2021年的7-8月采用扫网法和陷阱法采集昆虫标本, 通过单因素方差分析比较不同海拔昆虫群落多样性和功能群特征差异, 利用三维主成分分析和Jaccard相似性系数比较不同海拔昆虫功能群相似性, 运用Pearson相关系数分析和冗余分析以明确环境因素对昆虫群落功能群垂直分布格局的影响。研究结果表明: 在关帝山不同海拔样地中共调查到9,321头昆虫, 隶属11目89科198种, 不同功能群种群的数量在海拔梯度上具有明显的分化特征; 海拔梯度亦可显著导致昆虫群落物种多样性分化, 这种差异性可能源于海拔引起的生境异质性; 不同海拔样地间昆虫群落Jaccard相似性系数为0.13-0.41, 均表现为极不相似或中等不相似; 此外, 本研究选取的19个环境因子均会影响昆虫功能群的空间分布, 其中环境温度和土壤P/N (速效磷与速效氮的比值)是决定昆虫功能群空间分布格局的最重要环境因子。本研究结果可为关帝山昆虫群落及功能群的监测和保护提供理论依据。

关键词: 关帝山, 海拔梯度, 昆虫功能群, 垂直分布格局

Abstract

Aims: The study aimed to clarify the variation characteristics of insect functional groups and the effects of environmental factors on their spatial distribution patterns along the altitude gradient of Guandi Mountains.

Methods: Seven typical plots with varying altitude ranging from 1,600 m to 2,800 m were established across Guandi Mountains. Insect communities across different altitude gradient were selected as the research objects. Insect specimens were collected between July and August in both 2020 and 2021 using sweeping net method and pitfall traps. One-way ANOVA was used to compare the differences in insect species diversity and functional groups at different altitudes. Three-dimensional principal component analysis and Jaccard similarity index were applied to assess the similarity of insect functional groups at different altitudes. Pearson correlation coefficient analysis and redundancy analysis were used to clarify the influence of environmental factors on the spatial distribution patterns of insect community functional groups.

Results: The results revealed a total of 9,321 insects, encompassing 11 orders, 89 families, and 198 species, across the altitudinal gradient of Guandi Mountains. The insect functional groups showed obvious differentiation characteristics along the altitude gradient. The altitudinal gradient can also significantly contribute to the differentiation in insect diversity, potentially due to the habitat heterogeneity includes communities across plots at different altitudes ranged from 0.13 to 0.41, indicating varying degrees of dissimilarity. Furthermore, all the 19 environmental factors selected in this study exhibited an effect on the spatial distribution of insect functional groups, with environmental temperature and soil P/N ratio emerging as the most important factors.

Conclusion: The diversity of insect communities and their functional groups distinctly vary along the altitude gradient. Notably, environmental temperature and soil P/N are the most important environmental factors dictating the spatial distribution pattern of insect functional groups.

Key words: Guandi Mountains, altitude gradient, insect functional groups, vertical distribution pattern