植物生态学报 ›› 2024, Vol. 48 ›› Issue (12): 1650-1665.DOI: 10.17521/cjpe.2024.0025  cstr: 32100.14.cjpe.2024.0025

所属专题: 植物功能性状

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季节尺度毛乌素沙地黑沙蒿的叶片性状网络特征及驱动因素

徐铭泽1,2,赵洪贤1,李成2,李满乐1,田赟1,Peng Liu1,查天山1   

  1. 1. 北京林业大学
    2. 自然资源部重庆典型矿区生态修复野外科学观测研究站(重庆地质矿产研究院)
  • 收稿日期:2024-01-24 修回日期:2024-05-23 出版日期:2024-12-20 发布日期:2024-12-20
  • 通讯作者: 查天山

Characteristics of seasonal leaf trait network and its driving factors in Artemisia ordosica in Mu Us sandy land

mingze xu1,2,hongxian Zhao2,cheng Li3,manle li2,Yun TianPeng Liu2,Zha tianshan   

  • Received:2024-01-24 Revised:2024-05-23 Online:2024-12-20 Published:2024-12-20
  • Contact: Zha tianshan

摘要: 明晰植物性状的网络特征是功能生态学的研究热点之一,目前对于季节尺度植物的性状网络以及驱动因素的认识仍十分有限。试验采用LI-6400便携式光合仪(LI-6400, LI-COR, Lincoln, NE, USA)定期测量了黑沙蒿生长季(5月至9月)叶片光响应、二氧化碳响应曲线及关键的叶片结构性状和生化性状指标,探究25个叶性状间的相关性及其性状网络特征。季节尺度,叶性状间存在显著的相关性,最紧密的性状耦合关系发生在光合生理性状间,共有67对生理-生理性状组合存在显著相关。性状网络(PTN)边密度、直径、平均路径长度和模块度分别为0.58、3、1.51和0.08,叶组织密度(LTD)、单位面积叶氮含量(Narea)和蒸腾速率(E)的介数相对较高,是PTN中的“桥梁”。PTN并没有绝对的中心性状,生理性状整体表现出了较高的度、特征向量中心度和聚类系数,表明该性状网络由生理性状共同主导。进一步的分析结果表明,季节尺度25个叶性状可以被压缩为两大类性状维度,一类是受空气温度和土壤水分调控的性状,一类是受光合有效辐射调控的性状。研究结果强调,在评估不同性状功能组对气候波动的潜在反应时,需要区分环境因素对不同性状的影响程度和作用性。如果将植物性状对环境的季节反应纳入一个统一的范式,将会错误的评估植物的性状适应性结果。

关键词: 叶片性状网络, 季节动态, 黑沙蒿, 性状变异

Abstract: Aims Clarifying the network characteristics of plant traits is one of the research hotspots in functional ecology. However, the understanding of plant trait networks and their driving factors at the seasonal scale is still limited. Methods We used a Li-6400 portable photosynthetic instrument to regularly measured the light response and carbon dioxide response curves of Artemisia ordosica during the growing season (May-September), and leaf structural and biochemical indicators as well, to explore the correlation and trait network characteristics among 25 leaf traits. Important findings There are significant correlation between leaf traits at the seasonal scale, and the closest coupling relationship between traits occurs between photosynthetic physiological traits, with a total of 67 pairs of physiological trait combinations showing significant correlation. The edge density, diameter, average path length, and modularity of the plant trait network (PTN) are 0.58, 3, 1.51, and 0.08, respectively. The betweenness of leaf tissue density (LTD), leaf nitrogen content per unit area (Narea), and transpiration rate (E) is relatively high, making it a "bridge" in PTN. PTN does not have an absolute central trait, and physiological traits as a whole exhibit high degree, eigenvector centrality, and clustering coefficient, indicating that the trait network is jointly dominated by physiological traits. Further analysis indicates that the 25 leaf traits at the seasonal scale can be compressed into two major trait dimensions: one is regulated by air temperature and soil moisture, and the other is regulated by photosynthetic effective radiation. The research results emphasize that when evaluating the potential response of different trait functional groups to climate fluctuations, it is necessary to distinguish the degree and effect of environmental factors on different traits. If the seasonal response of plant traits to the environment is included in a unified paradigm, it will wrongly evaluate the adaptability of plant traits.

Key words: leaf trait network, seasonal dynamics, Artemisia ordosica, trait variation