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宋帅帅, 吴浩, 吕林玉, 肖之强, 杨腾, 史红文, 魏新增. 国家重点保护植物珙桐叶片功能性状地理格局及其驱动因素[J]. 植物科学学报. DOI: 10.11913/PSJ.2095-0837.23112
引用本文: 宋帅帅, 吴浩, 吕林玉, 肖之强, 杨腾, 史红文, 魏新增. 国家重点保护植物珙桐叶片功能性状地理格局及其驱动因素[J]. 植物科学学报. DOI: 10.11913/PSJ.2095-0837.23112
ShuaiShuai SONG, Hao WU, LinYu LU, ZhiQiang XIAO, Teng YANG, HongWen SHI, XinZeng WEI. Geographic patterns and its environmental drivers of the leaf functional traits of a protected plant Davidia involucrata[J]. Plant Science Journal. DOI: 10.11913/PSJ.2095-0837.23112
Citation: ShuaiShuai SONG, Hao WU, LinYu LU, ZhiQiang XIAO, Teng YANG, HongWen SHI, XinZeng WEI. Geographic patterns and its environmental drivers of the leaf functional traits of a protected plant Davidia involucrata[J]. Plant Science Journal. DOI: 10.11913/PSJ.2095-0837.23112

国家重点保护植物珙桐叶片功能性状地理格局及其驱动因素

Geographic patterns and its environmental drivers of the leaf functional traits of a protected plant Davidia involucrata

  • 摘要: 植物功能性状的地理格局及其与环境因子的关系是种群生态学的研究热点之一。叶片功能性状可直接影响植物的生理生化过程,反映植物的资源获取策略与适应机制。本文以国家重点保护植物珙桐(Davidia involucrata)为研究对象,对其分布区内18个种群的17项叶片功能性状进行测量,并分析了环境因子对其叶片功能性状的影响。结果表明,在局域尺度上,珙桐叶片功能性状变异系数介于1.48% ~ 24.81%,其中,叶碳磷比变异程度最大,叶有机碳含量变异最小。随着经度或纬度的增加,珙桐叶片叶面积、叶厚度和叶锯齿数显著降低。随着海拔的增加,珙桐叶片叶厚度、叶干物质含量、叶面积和叶磷含量显著增加,珙桐叶片形状变得更宽且更近于圆形。叶片边缘锯齿增强了珙桐叶片对于寒冷的适应性。显著的叶性状-地理相关性都受到了气候和/或土壤因子的驱动。环境因子解释了79.90%的珙桐叶片性状变异,珙桐叶片性状变异主要由地理变量与气候因子驱动,同时受到土壤因子的影响。气候因子中,年降水是叶片性状变异的最强解释因子,年降水比年均温更能解释叶片性状变异。总的来说,珙桐叶片功能性状在物种分布区尺度上呈现出明显的地理格局,其中降水、土壤氮元素含量在地理格局的形成中发挥了重要的作用。

     

    Abstract: The geographical pattern of plant functional traits and its environmental drivers is a central question in plant population ecology. Leaf functional traits can directly affect the physiological and biochemical processes of plants, reflecting the resource acquisition strategies and adaptation mechanisms of plants. In this paper, with the national key protected plant Davidia involucrata as target species, we measured 17 functional traits of 18 populations across its natural distribution range in China, and analyzed the effects of environmental factors on leaf functional traits. At local scale, the coefficient of variation of leaf traits functional ranged from 1.48% to 24.81%. The variation degree of leaf carbon phosphorus ratio was the largest and the variation degree of leaf organic carbon content was the smallest. With the increase of longitude and latitude, the leaf area, leaf thickness and leaf serration number of D. involucrata decreased significantly. With the increase of altitude, the leaf thickness, leaf dry matter content, leaf area and leaf phosphorus content of D. involucrata increased significantly, and the leaf shape became wider and more round. Leaf serration enhanced the adaptability of D. involucrata leaves to cold. Significant leaf trait–geography correlations were mediated by climatic and/or soil factors. Environmental factors explained 79.90% of the variation of D. involucrata leaf traits. The variation of leaf traits was mainly driven by geographical variables and climatic factors, and was also affected by soil factors. Among the climatic factors, annual precipitation is the strongest explanatory factor for leaf trait variation, and annual precipitation can explain leaf trait variation more than annual average temperature. In general, the functional traits of D. involucrata leaves showed a clear geographical pattern at the species distribution scale, in which precipitation and soil nitrogen content played an important role in the formation of geographical pattern.

     

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