生物多样性 ›› 2023, Vol. 31 ›› Issue (11): 23215.  DOI: 10.17520/biods.2023215

• 半湿润常绿阔叶林专题 • 上一篇    下一篇

滇中半湿润常绿阔叶林木本植物的功能特征和功能多样性及其影响因子

罗彩访1, 杨涛1, 张秋雨1, 王馨培2, 沈泽昊1,2,*()   

  1. 1.云南大学生态与环境学院, 昆明 650091
    2.北京大学城市与环境学院, 北京大学地表过程分析与模拟教育部重点实验室, 北京 100871
  • 收稿日期:2023-06-25 接受日期:2023-11-07 出版日期:2023-11-20 发布日期:2023-11-21
  • 通讯作者: * E-mail: shzh@urban.pku.edu.cn
  • 基金资助:
    国家自然科学基金(41971228);云南省科技厅-云南大学双一流学科建设重大专项(2018FY001-002);云南省基础研究计划重大项目课题(202101BC07 0002)

Plant functional traits, community functional diversity and their environmental determinants of the semi-humid evergreen broad-leaved forest in the Central Yunnan Plateau

Caifang Luo1, Tao Yang1, Qiuyu Zhang1, Xinpei Wang2, Zehao Shen1,2,*()   

  1. 1 School of Ecology and Environmental Science, Yunnan University, Kunming 650091
    2 Key Laboratory of MOE for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871s
  • Received:2023-06-25 Accepted:2023-11-07 Online:2023-11-20 Published:2023-11-21
  • Contact: * E-mail: shzh@urban.pku.edu.cn

摘要:

半湿润常绿阔叶林是中国常绿阔叶林西部中亚热带类型的代表, 为了解其群落的功能多样性, 本研究对云南滇中地区金光寺、鸡足山、雕翎山、筇竹寺和珠江源5个半湿润常绿阔叶林分布点进行群落调查和木本植物性状测定, 分析不同样地和群落类型的植物功能特征和群落功能多样性, 探究滇中半湿润常绿阔叶林木本植物之间的差异及其环境影响因素。结果表明: (1)不同样地和不同群落类型下功能性状的群落加权平均值大致相当; 灌木层的比叶面积平均值高于乔木层; 乔木层、灌木层的木材平均密度无显著差异(约0.5 g/cm3); (2)基于最大株高、比叶面积和木材密度计算的半湿润常绿阔叶林乔木层功能多样性在不同样地间差异显著(P < 0.05), 其中鸡足山和雕翎山的乔木层功能丰富度、均匀度和冗余度较高, 群落更稳定。不同群落类型所占的功能空间大小不同, 但群落内物种功能分异度、均匀度和冗余度相似。此外, 灌木层的物种丰富度高于乔木层, 功能丰富度却相对较低; (3)功能丰富度和功能冗余度都与物种丰富度显著正相关(P < 0.05), 与其他多样性指数关系不显著。环境因子中气候和土壤因素共同解释群落乔木层、灌木层功能性状和功能多样性的60%以上变异性, 人类活动也会对植物群落功能多样性造成一定影响。本研究揭示了半湿润常绿阔叶林不同群落类型和层次的植物功能性状差异及其区域变化, 为该植被类型的生物多样性和生态系统功能保护与恢复提供科学依据。

关键词: 半湿润常绿阔叶林, 功能性状, 功能多样性, 环境解释

Abstract

Aims: Semi-humid evergreen broad-leaved forest (SEBF) represents a distinct sub-type of evergreen broad-leaved forests within the subtropical region of western China. Despite their ecological significance, the functional diversity of SEBFs remains in adequately understood. This study aims to conduct a comprehensive analysis of plant traits and functional diversity within SEBFs and elucidate the environmental factors influencing their variations.

Methods: This research was conducted across the expanse of the Central Yunnan Plateau, the primary natural habitat for SEBFs. We conducted surveys within five well-protected SEBF sites, namely Jinguangsi (JGS), Jizu Mountains (JZS), Diaoling Mountains (DLS), Qiongzhusi (QZS), and Zhujiangyuan (ZJY). A total of 29 plots measuring 20 m × 20 m were sampled. Key plant traits including the maximum height (Hmax), specific leaf area (SLA), and wood density, were recorded for collected samples. Functional diversity indices such as functional richness (FRic), functional divergence (FDiv), functional evenness (FEve), and functional redundancy (Rstar) were calculated based on these traits. Additionally, life-form spectrums and community-weighted mean trait values (CWM) were assessed for different sample sites and community types. Environmental factor analysis, using variance partitioning, was employed to gauge the impact of various ecological factors on the variations in functional diversity within SEBFs.

Results: Within the semi-humid evergreen broad-leaved forests (SEBFs) of the Central Yunnan Plateau, the CWM of key traits, namely Hmax, SLA and wood density, exhibited no significant differences among various sample sites and community types. The shrub layer demonstrated higher CWM_SLA values compared to the tree layer, while their CWM_wood_density remained consistent at 0.5 g/cm3. In terms of diversity, both species diversity and functional diversity varied between the tree layer and shrub layer. Notably, JZS and DLS exhibited the highest values for FRic, FEve, and Rstar, indicating greater resilience and stability in these two sample sites. However, different community types of SEBFs, based on various dominant species, displayed similar FDiv, FEve, and Rstar values, differing only in FRic. FRic and Rstar were both significantly positively correlated with species richness (P < 0.05), while their relationships with other functional diversity indices were not significant. Factor analysis revealed that climate and soil nutrient contributed more than 60% of variances in CWM and functional diversity within SBEFs. Additionally, human activities emerged as influential factors in shaping the functional diversity of these forest communities.

Conclusion: Our results shed light on the characteristics of CWM values and functional diversity within the SEBFs, particularly in the context of tree layer and shrub layer. We have observed distinct spatial variations across different sample sites. Interestingly, despite the existence of different community types based on various dominant species, these communities occupy different functional niches yet exhibit a remarkable degree of functional convergence in terms of directional divergence, evenness, and redundancy. These findings provide valuable insights into the functional diversity of SEBFs, which, in turn, can inform and enhance efforts related to forest conservation and biodiversity restoration.

Key words: semi-humid evergreen broad-leaved forest, community-weighted mean trait values, community functional diversity, environmental determinants