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1米深度林地土壤溶解性有机质垂直分布与光谱特征OA

Vertical Distribution and Spectroscopic Characteristics of Dissolved Organic Matter in Forest Soils Within 1 m Depth

中文摘要英文摘要

林地土壤有机质是全球碳循环的关键支撑,尤其是其中活跃碳组分——溶解性有机质(DOM).为探明林地1 m深度内DOM的总量、光谱组分与性质特征,强化对林地地下 DOM 形成、运移与转化的认识,以人工林(主要树种为栾树和雪松)为模式林地,采用紫外-可见光光谱和荧光光谱技术,研究了林地土壤DOM含量及其组分在0~20、20~40、40~60、60~80、80~100 cm土层中的垂直分布特征.结果表明:林地0~20 cm土层有机碳含量与DOM含量均显著高于其他土层,尤其是高于80~100 cm土层,可分别高出4.1倍和2.7倍,但60~80 cm和80~100 cm土层的DOC/TOC值较高.DOM紫外光谱指数A250/A365、SUVA254、SUVA260和SR值分别介于4.1~20.3、0.3~2.6、0.3~2.5和1.4~8.5,林地土壤DOM的芳香性、分子量、疏水性随土层深度增加而下降.1 m深度内,林地土壤DOM的荧光组分表现出明显的垂直分异特征.结合平行因子分析,林地土壤DOM可识别出 5种组分,包括 2种类胡敏酸物质、1种类富里酸物质、1种类色氨酸物质、1种类酪氨酸物质.随土层深度增加,类胡敏酸和类富里酸物质含量与占比下降,占比最低为23.7%;类酪氨酸物质含量与占比增加,最高可达53.6%.林地土壤DOM的FI、BIX和HIX指数分别介于1.0~1.6、0.6~0.9和 0.4~4.7,表明其由动植物残体等外源输入为主,随土层深度增加,其自生源特性逐渐增强,腐殖化程度逐渐下降.综上,研究结果揭示了林地土壤DOM的外源性特性、纵向逐级筛分与分解特性,各土层间DOM含量、组分与性质异质性显著,为理解林地地下碳收支行为、核算林地地下碳储量及调控林地碳封存提供了数据基础与科学依据.

The forestland soil organic matter is a key support for the global carbon cycle,especially the active carbon component—dissolved organic matter(DOM).The aim of this study is to clarify the total amount,components,and properties of DOM within 1m depth of forestland soil,and to enhance the understanding of the formation,transport,and transformation of DOM in forestland soils.A plantation(main tree species:Koelreuteria paniculata and Cedrus deodara)was selected as a model forestland,and the UV/visible and fluorescence spectroscopy techniques were used to investigate DOM concentrations and their components in the soil layers of 0-20,20-40,40-60,60-80,and 80-100 cm.The results showed that organic carbon and DOM contents in the 0-20 cm soil layer were significantly higher than those in other soil layers,especially than those in the 80-100 cm soil layers,which were 4.1 times higher for TOC and 2.7 times higher for DOC.However,DOC/TOC ratios were relatively high in the 60-80 cm and 80-100 cm soil layers.The UV spectral indices A250/A365,SUVA254,SUVA260,and SR of soil DOM ranged from 4.1 to 20.3,0.3 to 2.6,0.3 to 2.5,and 1.4 to 8.5,respectively.The aromaticity,molecular weight,and hydrophobicity of soil DOM decreased with increasing soil depth.Within the 1m depth,the fluorescence components of soil DOM exhibited distinct vertical differentiation characteristics.Based on parallel factor analysis,five components of soil DOM were identified:two humic-like substances,one fulvic-like substance,one tryptophan-like substance,and one tyrosine-like substance.With increasing soil depth,the contents and proportions of humic-like and fulvic-like substances decreased,with the lowest proportion being 23.7%;in contrast,the content and proportion of tryptophan-like substances increased,reaching up to 53.6%.The FI,BIX,and HIX indices of soil DOM ranged from 1.0 to 1.6,0.6 to 0.9,and 0.4 to 4.7,respectively,indicating that DOM was mainly exogenous such as derived from plant and animal residues.As soil depth increased,the autochthonous characteristics of DOM gradually strengthened,while the humification degree decreased.In conclusion,the results reveal the exogenous characteristics of forestland soil DOM,its stepwise screening and decomposition characteristics along the vertical profile,and the significant heterogeneity of DOM content,components,and properties among different soil layers,these findings provide a data foundation and scientific basis for understanding the underground carbon behavior of forestlands,calculating the underground carbon storage of forestlands,and regulating carbon sequestration in forestlands.

程虎;曹福亮;刘雅静;吴蒙;李丽;朱长银;韩建刚;阮宏华;张银龙;周东美

南京林业大学生态与环境学院,南方现代林业协同创新中心,南京 210037南京林业大学生态与环境学院,南方现代林业协同创新中心,南京 210037南京林业大学生态与环境学院,南方现代林业协同创新中心,南京 210037六安市生态环境局金寨分局,安徽 六安 237321南京林业大学生态与环境学院,南方现代林业协同创新中心,南京 210037南京林业大学生态与环境学院,南方现代林业协同创新中心,南京 210037南京林业大学生态与环境学院,南方现代林业协同创新中心,南京 210037南京林业大学生态与环境学院,南方现代林业协同创新中心,南京 210037南京林业大学生态与环境学院,南方现代林业协同创新中心,南京 210037南京大学环境学院,南京 210023

农业科技

林地土壤溶解性有机质垂直分布阔叶混交林光谱特征

Forestland soilDissolved organic matterVertical distributionBroadleaf mixed forestSpectral characteristics

《土壤》 2026 (1)

58-66,9

国家自然科学基金项目(42477376)和"数字赋能与智慧监管项目"林地生态系统观测项目(JSTCC2400213111)资助.

10.13758/j.cnki.tr.202505090173

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