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  

Characteristics of seasonal leaf trait network and its drivers in Artemisia ordosica in the Mau Us Sandy Land

作　　者：徐铭泽 赵洪贤 李成 李满乐 田赟[1] 刘鹏 查天山[1] XU Ming-Ze;ZHAO Hong-Xian;LI Cheng;LI Man-Le;TIAN Yun;LIU Peng;ZHA Tian-Shan(School of Soil and Water Conservation,Beijing Forestry University,Beijing 100083,China;Observation and Research Station of Ecological Restoration for Chongqing Typical Mining Areas(Ministry of Natural Resources,Chongqing Institute of Geology and Mineral Resources),Chongqing 401120,China;RLOH High Science and Technology Group,Beijing 100088,China)

机构地区：[1]北京林业大学水土保持学院,北京100083 [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),重庆401120 [3]中路高科交通科技集团有限公司,北京100088

出　　处：《植物生态学报》2024年第12期1650-1665,共16页Chinese Journal of Plant Ecology

基　　金：国家自然科学基金(32071842、32101588、31901366和32071843);重庆市自然科学基金(CSTB2022NSCQ-MSX1121)。

摘　　要：明晰植物性状的网络特征是功能生态学的研究热点,目前对于季节尺度植物的性状网络(PTN)以及驱动因素的认识仍十分有限。该研究采用LI-6400便携式光合仪定期测量了黑沙蒿(Artemisia ordosica)生长季(5–9月)叶片光响应、CO_(2)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PTN特征。结果显示:季节尺度,叶性状间存在显著的相关关系,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-生理性状组合显著相关。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、单位面积叶氮含量和蒸腾速率的介数相对较高,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PTN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。如果将植物性状对环境的季节反应纳入一个统一的范式,将会错误地评估植物的性状适应性结果。Aims Clarifying the network characteristics of plant traits is one of the research hotspots in functional ecology.However,our understanding of plant trait networks(PTN)and their driving factors on a seasonal scale is still limited.Methods We used a LI-6400 portable photosynthetic instrument to regularly measure the light response and carbon dioxide response curves of Artemisia ordosica during the growing season(May to September),as well as leaf structural and biochemical indicators,to explore the correlation and trait network characteristics among 25 leaf traits.Important findings There were significant correlations between leaf traits at the seasonal scale,and the closest coupling relationship between traits occurred 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 PTN are 0.58,3,1.51,and 0.08,respectively.The betweenness of leaf tissue density,leaf nitrogen content per unit area,and transpiration rate 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 indicated 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 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 incorrectly evaluate the adaptability of plant traits.

关 键 词：叶片性状网络 季节动态 黑沙蒿 性状变异 

分 类 号：Q948[生物学—植物学]