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基于叶片功能性状多维特征的北京平原林生态优化策略解析

谭聪, 石亮, 赵常提, 甘沛钦, 陈冰瑞, 谭深, 卜燕华, 田地   

  1. 北京林业大学林木资源高效生产全国重点实验室, 北京 100083 中国
    中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室, 北京 100101 中国
    北京市园林绿化科学研究院, 北京 100102 中国
  • 收稿日期:2025-06-05 修回日期:2025-10-09
  • 基金资助:
    北京市科技计划项目(Z241100009124001)

Analysis of ecological optimization strategies for Beijing plain forests based on multidimensional characteristics of leaf functional traits

TAN Cong, SHI Liang, ZHAO Chang-Ti, GAN Pei-Qin, CHEN Bing-Rui, TAN Shen, BU Yan-Hua, TIAN Di   

  1. State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University 100083, China
    Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences 100101, China
    , Beijing Academy of Forestry and Landscape Architecture 100102, China
  • Received:2025-06-05 Revised:2025-10-09
  • Supported by:
    Supported by the National Natural Science Foundation of China(32271680); the Beijing Municipal Natural Science Foundation(3252016); and the Young Elite Scientists Sponsorship Program by the China Association for Science and Technology(2021QNRC001); the Science and Technology Project of Beijing Municipal Science and Technology Commission(Z241100009124001)

摘要: 城市森林是缓解城市热岛效应、提升生态服务功能的重要生态屏障,其结构与功能备受关注。植物功能性状可表征植物生态策略并揭示其对生态系统功能调控机制。然而,现有研究多集中于自然生态系统,对于城市森林主要树种的生态策略及其生态功能效应仍缺乏深入探索。该研究以北京平原林主要树种刺槐(Robinia pseudoacacia)、杜仲(Eucommia ulmoides)、国槐(Styphnolobium japonicum)、元宝槭(Acer truncatum)、油松(Pinus tabuliformis)和银杏(Ginkgo biloba)为对象,测定叶片形态、元素、化学防御和水力4类功能性状,旨在揭示不同树种生态策略差异及平原林性状网络特征。结果表明,不同树种的叶片功能性状及其生态策略差异显著:油松比叶面积和膨压丧失点的水势最低,体现其资源保守和抗旱优先的策略;元宝槭比叶面积较高且总酚含量最高,具有快速资源获取与高化学防御的特征;刺槐氮含量最高,总酚含量居中,表现为快速生长和基础化学防御;国槐磷含量最高,总酚含量最低,属于快速生长但化学防御低的类型;杜仲叶干物质含量和碳含量较高,偏向资源适度保守和结构性防御的策略;银杏在生长和化学防御相关性状表现为中等偏低,凸显出均衡生长和化学防御较低的特征。此外,基于6个树种构建的叶片功能性状网络整体参数(边密度0.37、直径4、平均路径长度1.90、平均聚类系数0.59、模块度0.26)显示网络结构较为简单,仅以比叶面积为核心枢纽性状连接不同功能模块,反映了北京平原林“速生高效”导向下的初步功能分化,但同时也潜藏着生态系统脆弱性的特征。这些结果为理解城市森林树种的功能定位提供了新视角,并为平原林多功能提升提供了理论依据。

关键词: 叶片功能性状, 北京平原林, 城市森林, 多功能提升, 叶片性状网络

Abstract: Aims Urban forests serve as ecological barriers that mitigate urban heat island effects and enhance ecosystem services, attracting increasing attention to their structure and function. Plant functional traits are essential for characterizing plant ecological strategies and revealing their regulatory mechanisms on ecosystem functioning. However, most existing studies have focused on natural ecosystems, while the ecological strategies and functional roles of dominant tree species in urban forests remain poorly understood. Methods This study focused on six key species (Robinia pseudoacacia, Eucommia ulmoides, Styphnolobium japonicum, Acer truncatum, Pinus tabuliformis, and Ginkgo biloba) in Beijing plain forests. Four categories of leaf functional traits, including morphological, elemental, chemical defense, and hydraulic traits, were measured to elucidate interspecific differences in ecological strategies and to characterize the network structure of leaf functional traits. Important findings Significant interspecific differences in leaf functional traits and corresponding ecological strategies were found: P. tabuliformis exhibited the lowest specific leaf area and lowest water potential at turgor loss point, reflecting a resource conservation and drought resistance prioritized strategy; A. truncatum showed high specific leaf area and the highest total phenolic content, representing a rapid resource acquisition with strong chemical defense; R. pseudoacacia demonstrated the highest leaf nitrogen content with moderate total phenolic levels, indicating fast growth with basic chemical defense strategy; S. japonicum possessed the highest phosphorus content and lowest total phenolic content, suggesting rapid growth with low chemical defense investment; E. ulmoides displayed high leaf dry matter content and carbon concentration, reflecting moderate resource conservation and structural defense; G. biloba exhibited intermediate-low values in growth-defense traits, representing balanced growth with low chemical defense. The leaf trait network constructed from the six species (edge density = 0.37, diameter = 4, average path length = 1.90, clustering coefficient = 0.59, modularity = 0.26) revealed a relatively simple structure, with specific leaf area acting as the central hub connecting different functional modules. This pattern reflects an initial stage of functional differentiation under the “fast-growth and high-efficiency” management orientation of Beijing plain forests, while also implying potential ecological vulnerability. Overall, this study provides new insights into the functional positioning of urban forest species and offers a theoretical basis for enhancing the multifunctionality of plain forests.

Key words: leaf functional traits, Beijing plain forests, urban forest transition, multifunctionality enhancement, leaf trait network