植物生态学报 ›› 2026, Vol. 50 ›› Issue (2): 344-351.DOI: 10.17521/cjpe.2024.0373 cstr: 32100.14.cjpe.2024.0373
王蓉钧1, 吴福忠1,2,3, 吴秋霞1, 朱晶晶1, 倪祥银1,2,3,*(
)
收稿日期:2024-10-21
接受日期:2025-01-27
出版日期:2026-02-28
发布日期:2026-04-01
通讯作者:
*倪祥银(nixy@fjnu.edu.cn)基金资助:
WANG Rong-Jun1, WU Fu-Zhong1,2,3, WU Qiu-Xia1, ZHU Jing-Jing1, NI Xiang-Yin1,2,3,*(
)
Received:2024-10-21
Accepted:2025-01-27
Online:2026-02-28
Published:2026-04-01
Contact:
*NI Xiang-Yin (nixy@fjnu.edu.cn)Supported by:摘要:
植物叶片对氮的重吸收能够降低凋落物分解后根系对土壤氮的依赖程度, 但叶片氮重吸收效率是否受叶片初始氮含量、土壤氮含量的调控并不明晰, 这种关系在不同生活型的植物之间是否存在差异也不清楚。该研究沿中国热带亚热带森林样带采集了92种常见木本植物新鲜叶和衰老叶, 进一步整理了全球已发表的54篇相关文献数据, 分析了不同生活型植物叶片氮重吸收效率及其与叶片初始氮含量和土壤氮含量的关系。结果发现: 1)在热带亚热带森林样带和全球尺度上, 常绿木本与落叶木本植物叶片氮重吸收效率无显著差异, 被子植物和裸子植物也无显著差异; 在全球尺度上, 乔木叶片氮重吸收效率显著高于灌木; 外生菌根木本植物叶片氮重吸收效率显著高于丛枝菌根木本植物。2)常绿木本植物、乔木和灌木叶片氮重吸收效率均与叶片初始氮含量显著相关, 被子植物与裸子植物、丛枝菌根与外生菌根木本植物则与叶片初始氮含量无显著相关性。3)常绿木本植物、被子植物和丛枝菌根木本植物叶片氮重吸收效率与土壤氮含量显著相关, 落叶木本植物、裸子植物和外生菌根木本植物则与土壤氮含量无显著相关性。这些结果表明, 植物叶片氮重吸收效率在不同生活型之间存在差异, 这种差异主要受养分获取策略的影响, 这对于揭示不同生活型植物差异化的养分利用策略具有重要意义。
王蓉钧, 吴福忠, 吴秋霞, 朱晶晶, 倪祥银. 不同生活型植物叶片氮重吸收效率的差异. 植物生态学报, 2026, 50(2): 344-351. DOI: 10.17521/cjpe.2024.0373
WANG Rong-Jun, WU Fu-Zhong, WU Qiu-Xia, ZHU Jing-Jing, NI Xiang-Yin. Differences in leaf nitrogen reabsorption efficiency among plants with different life forms. Chinese Journal of Plant Ecology, 2026, 50(2): 344-351. DOI: 10.17521/cjpe.2024.0373
图1 热带亚热带森林、全球植物叶片氮重吸收效率研究地点的地理分布。A, 热带亚热带森林样带。其中红色区域为铁铝土分布区。B, 全球数据集。
Fig. 1 Distribution of sampling plots of studied sites for nitrogen reabsorption efficiency in leaves of tropical and subtropical forest transect in southern China and global plant. A, Tropical and subtropical forest transect in southern China, with read areas representing Ferralsols. B, Global dataset of leaf nitrogen reabsorption.
图2 不同生活型的植物叶片氮重吸收效率。AM, 丛枝菌根木本植物; AN, 被子植物; DE, 落叶木本植物; EcM, 外生菌根木本植物; EV, 常绿木本植物; GY, 裸子植物; SH, 灌木; TR, 乔木。无阴影部分表示热带亚热带森林的数据, 阴影部分表示全球尺度的数据。数值为中位数和25%置信区间。星号表示基于秩和检验的不同生活型植物之间差异显著(*, p < 0.05; **, p < 0.01)。星号旁的数字表示Cohen’s D值。数字表示样本量。
Fig. 2 Nitrogen reabsorption efficiency in plants with different life forms. AM, arbuscular mycorrhizal tree species; AN, angiosperms; DE, deciduous tree species; EcM, ectomycorrhizal tree species; EV, evergreen tree species; GY, gymnosperms; SH, shrubs; TR, trees. The unshaded and shaded areas show data collected from tropical and subtropical forest transect and global dataset, respectively. The boxplots show the median (center line) and interquartile ranges (box). Asterisks denote significant differences between plants with different life forms based on the Wilcoxon rank-sum test (*, p < 0.05; **, p < 0.01). The number next to the asterisk indicates the Cohen’s D value. The numbers denote sample sizes.
图3 不同生活型的植物叶片氮重吸收效率与叶片初始氮含量的关系。AM, 丛枝菌根木本植物; AN, 被子植物; DE, 落叶木本植物; EcM, 外生菌根木本植物; EV, 常绿木本植物; GY, 裸子植物; SH, 灌木; TR, 乔木。拟合线表示基于线性混合模型的斜率(r), 阴影部分表示95%置信区间。数字表示样本量。数据来自热带亚热带森林样带和全球数据集。
Fig. 3 Correlations between nitrogen reabsorption efficiency and initial nitrogen content in fresh leaves. AM, arbuscular mycorrhizal tree species; AN, angiosperms; DE, deciduous tree species; EcM, ectomycorrhizal tree species; EV, evergreen tree species; GY, gymnosperms; SH, shrubs; TR, trees. The fitted lines represent slopes from linear mixed effect models with 95% confidence intervals (shaded). The numbers denote sample sizes. The data are derived from tropical and subtropical forest transects and a global dataset.
图4 不同生活型的植物叶片氮重吸收效率与土壤氮含量的关系。AM, 丛枝菌根木本植物; AN, 被子植物; DE, 落叶木本植物; EcM, 外生菌根木本植物; EV, 常绿木本植物; GY, 裸子植物; SH, 灌木; TR, 乔木。拟合线表示基于线性混合模型的斜率(r), 阴影部分表示95%置信区间。数字表示样本量。数据来自热带亚热带森林样带和全球数据集。
Fig. 4 Correlations between nitrogen reabsorption efficiency and soil nitrogen content. AM, arbuscular mycorrhizal tree species; AN, angiosperms; DE, deciduous tree species; EcM, ectomycorrhizal tree species; EV, evergreen tree species; GY, gymnosperms; SH, shrubs; TR, trees. The fitted lines represent slopes from linear mixed effect models with 95% confidence intervals (shaded). The numbers denote sample sizes. The data are derived from tropical and subtropical forest transects and a global dataset.
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