生物多样性 ›› 2026, Vol. 34 ›› Issue (7): 26072.  DOI: 10.17520/biods.2026072  cstr: 32101.14.biods.2026072

• 土壤生物多样性专题 • 上一篇    下一篇

关帝山杨桦林土壤跳虫功能性状的时空分布格局及环境驱动因素

郑文芳1, 赵立娟1, 张艳平1, 董江海1, 李蓉姣1, 高瑞贺1,2,3*   

  1. 1. 山西农业大学林学院, 山西晋中 030800; 2. 森林资源高效培育山西省重点实验室, 山西晋中 030800; 3. 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:2026-03-06 修回日期:2026-05-27 出版日期:2026-07-20 发布日期:2026-09-21
  • 通讯作者: 高瑞贺
  • 基金资助:
    国家自然科学基金(32401594); 山西省回国留学人员科研资助项目(2023-087)

Spatiotemporal distribution patterns of functional traits of soil Collembola in the poplar-birch forests of Guandi Mountains and their environmental drivers

Wenfang Zheng1, Lijuan Zhao1, Yanping Zhang1, Jianghai Dong1, Rongjiao Li1, Ruihe Gao1,2,3*   

  1. 1 College of Forestry, Shanxi Agricultural University, Jinzhong, Shanxi 030800, China 

    2 Shanxi Key Laboratory of Efficient Cultivation of Forest Resources, Jinzhong, Shanxi 030800, China 

    3 Shanxi Dangerous Forest Pest Inspection and Identification Center, Jinzhong, Shanxi 030800, China

  • Received:2026-03-06 Revised:2026-05-27 Online:2026-07-20 Published:2026-09-21
  • Contact: Ruihe Gao
  • Supported by:
    National Natural Science Foundation of China(32401594); Research Project Supported by the Shanxi Scholarship Council of China(2023-087)

摘要: 为阐明关帝山山杨(Populus davidiana)和白桦(Betula platyphylla)混交林土壤跳虫功能性状沿海拔梯度变化及环境因子对其功能性性状的影响, 本研究以关帝山杨桦林生态系统的土壤跳虫为研究对象, 在海拔1,600–2,200 m范围内以200 m为间隔设置4个海拔梯度, 每个梯度设置3个重复, 共12个样地, 采用干漏斗法收集土壤跳虫, 统计类群数量并测定其功能性状, 测定土壤理化性质, 以探明跳虫群落特征及其功能性状沿海拔梯度的时空分布格局, 并通过冗余分析评估土壤环境因子对跳虫功能性状的影响。结果表明: 土壤跳虫数量随海拔升高逐渐减少, 并呈现明显的表聚性分布特征; 功能多样性指数在海拔与季节水平上均存在显著差异(P < 0.05), 夏季功能丰富度指数整体呈上升趋势, 功能均匀度指数、功能离散度指数和Rao’s Q二次熵指数均呈现先下降后上升的变化趋势; 土壤跳虫体长群落加权平均值(community-weighted mean, CWM)在垂直土层梯度差异显著(P < 0.05); 体长、体色、弹器与鳞片CWM在季节动态水平差异显著(P < 0.05)。冗余分析结果显示, 土壤温度、pH值和容重与跳虫体长、体色、弹器和小眼存在呈显著正相关。本研究明确了关帝山土壤跳虫功能性状的时空分布格局及其主要环境驱动因素, 为关帝山杨桦林生态系统土壤动物多样性保护提供了理论依据。

关键词: 杨桦林, 土壤跳虫, 功能性状, 功能多样性, 海拔梯度, 环境因素

Abstract

Aims: This study aims to elucidate the variation in functional traits of soil Collembola along an elevation gradient in Populus davidiana and Betula platyphylla mixed forests on Guandi Mountains, as well as the effects of environmental factors on these functional traits. 

Method: We selected soil Collembola from the poplar-birch forest ecosystem of Guandi Mountains as the research subject. Four elevation gradients were set at 200 m intervals within the elevation range of 1,600–2,200 m, with three replicates per gradient, yielding a total of 12 sampling plots. Soil Collembola were collected using the dry funnel method. We identified and counted taxonomic groups, measured Collembola functional traits, and determined soil physicochemical properties to explore Collembola community characteristics and the spatiotemporal distribution patterns of their functional traits along the elevation gradient. Redundancy analysis (RDA) was applied to evaluate how soil environmental factors affect Collembola functional traits. 

Results: Soil Collembola abundance gradually decreased with rising elevation and exhibited an obvious epigeal aggregation pattern. Functional diversity indices differed significantly across elevations and seasons (P < 0.05). In summer, functional richness showed an overall increasing trend, whereas functional evenness, functional dispersion and Rao’s quadratic entropy (Rao’s Q) all decreased first and then increased. The community-weighted mean (CWM) of Collembola body length differed significantly among vertical soil layers (P < 0.05). The CWM values of body length, pigmentation, furca and scales showed significant seasonal dynamics (P < 0.05). Redundancy analysis demonstrated that soil temperature, pH and bulk density were significantly and positively correlated with Collembola body length, pigmentation, furca and ocelli.

Conclusion: This study clarifies the spatiotemporal distribution patterns and key environmental drivers of functional traits of soil Collembola on Guandi Mountains, and provides a theoretical basis for the conservation of soil fauna diversity in the poplar-birch forest ecosystem of Guandi Mountains.

Key words: poplar-birch forest, soil Collembola, functional traits, functional diversity, elevational gradient, environmental factors