植物生态学报 ›› 2023, Vol. 47 ›› Issue (10): 1386-1397.DOI: 10.17521/cjpe.2022.0469

• 研究论文 • 上一篇    下一篇

喀斯特与非喀斯特森林乔木叶性状及其相关性网络的差异

万春燕, 余俊瑞, 朱师丹()   

  1. 广西大学林学院, 亚热带农业生物资源保护与利用国家重点实验室, 南宁 530004
  • 收稿日期:2022-11-18 接受日期:2023-03-28 出版日期:2023-10-20 发布日期:2023-11-23
  • 通讯作者: * 朱师丹: ORCID:0000-0002-9228-368X (zhushidan@gxu.edu.cn)
  • 基金资助:
    国家自然科学基金(32060330)

Differences in leaf traits and trait correlation networks between karst and non-karst forest tree species

WAN Chun-Yan, YU Jun-Rui, ZHU Shi-Dan()   

  1. State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Forestry, Guangxi University, Nanning 530004, China
  • Received:2022-11-18 Accepted:2023-03-28 Online:2023-10-20 Published:2023-11-23
  • Contact: * (zhushidan@gxu.edu.cn)
  • Supported by:
    National Natural Science Foundation of China(32060330)

摘要:

喀斯特地区岩石裸露、土壤浅薄、持水能力差。对比分析喀斯特和非喀斯特森林树种叶性状有利于了解叶片对喀斯特生境的生理生态适应。前期比较研究集中在叶经济学性状, 对叶水力学(抗旱)和机械抗性(防御)性状关注较少。该研究测定热带-亚热带地区典型喀斯特和非喀斯特森林共101种乔木的叶形态解剖、机械抗性和水力学性状, 比较两个植物类群叶性状以及性状网络的差异。结果发现: (1)与非喀斯特森林乔木相比, 喀斯特森林乔木叶撕裂力(Ft)较大、最大导水率(Kleaf_max)较高, 膨压丧失点(Ψtlp)和气孔安全边界均较低。(2)喀斯特森林乔木叶性状网络的平均路径长度和直径较短, 边缘密度较大, 表明叶性状之间的关联程度更高。(3)喀斯特森林乔木叶性状网络的关键性状为比叶质量(LMA)和机械抗性, 而非喀斯特森林则为叶厚度(LT)和叶密度。喀斯特森林乔木LMA与Ψtlp负相关, 与Ft正相关, 即增加叶构建成本可同时提高机械抗性和耐失水能力; 非喀斯特森林乔木无此相关关系。(4)喀斯特森林乔木Kleaf_max与叶抗栓塞能力(耐旱性)之间权衡, 它们与叶形态解剖和机械抗性均不相关; 非喀斯特森林乔木无水力学权衡关系, Kleaf_max与LT和叶密度显著相关。该研究进一步揭示了与非喀斯特森林相比, 喀斯特森林乔木倾向于采取异水策略, 且叶性状之间密切协同。

关键词: 形态, 解剖, 水力学, 机械阻力, 热带-亚热带森林, 喀斯特

Abstract:

Aims This study aims to clarify the differences in ecological strategies between karst and non-karst forest tree species, in terms of leaf morphology and anatomy, hydraulics, and mechanical resistance.

Methods A total of 101 tree species were selected from typical karst and non-karst forests in tropical-subtropical regions. We measured: (1) leaf morphological and anatomical traits including leaf thickness (LT), leaf density (LD), vein density and leaf mass per area (LMA); (2) leaf mechanical traits including force to punch and force to tear (Ft); and (3) leaf hydraulic traits including maximum hydraulic conductance (Kleaf_max), cavitation resistance (P50leaf), turgor loss point (Ψtlp), and stomatal safety margin (HSMtlp). We compared the differences in leaf traits between karst and non-karst forest tree species, and analyzed their traits correlation networks.

Important findings (1) Compared to non-karst forest tree species, on average the karst tree species had greater Ft, higher Kleaf_max, lower (more negative) Ψtlp and HSMtlp. (2) Leaf trait network of karst forest tree species showed shorter average path length and diameter and lower edge density than non-karst forest tree species, indicating that traits combinations were closer in karst forests. (3) Mechanical traits and LMA showed high connectedness in the trait networks of karst forest tree species, LT and LD showed high connectedness in those of non-karst tree species. In karst forest tree species, LMA was positively correlated with Ft and negatively correlated with Ψtlp, indicating that increasing leaf carbon investment can simultaneously enhance meachnical resistance and drought tolerance. However, no such correlations were found in non-karst forest tree species. (4) Across karst forests tree species, we found a significant tradeoff between Kleaf_max and P50leaf, both of which were not related with leaf mechanical resistance, and morphological and anatomical traits. By contrast, there was no hydraulic tradeoff in non-karst forest tree species, and Kleaf_max was significantly correlated with LT and LD. This study further reveals that compared to non-karst forest tree species, karst forest tree species tend to exhibit isohydraulic strategy and show closer coordination among leaf traits.

Key words: morphology, anatomy, hydraulics, mechanical resistance, tropical-subtropical forest, karst