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| 土地利用类型对土壤碳氮元素浓度及其空间分布特征的影响 |
| Impact of different land use types on the concentrations and spatial distribution characteristics of carbon and nitrogen elements in soil |
| Received:May 24, 2024 |
| DOI：10.13254/j.jare.2024.0350 |
| 中文关键词: 土壤总碳，土壤总氮，土地利用类型，空间分布，半方差分析 |
| 英文关键词: soil total carbon, soil total nitrogen, land-use type, spatial distribution, semivariogram analysis |
| 基金项目:西藏自治区重点研发计划项目（XZ202301ZY0021G，XZ202401ZY0110） |
| Author Name | Affiliation | E-mail | | WANG Mingkun | Ecological Environment Bureau of Lixian County, Aba Tibetan and Qiang Autonomous Prefecture, Sichuan Province, Lixian 623100, China | | | LI Xiulong | Changchun College of Electronic Technology, Changchun 130051, China | | | TONG Yindong | School of Ecology and Environment, Tibet University, Lhasa 850000, China | | | LI Zhenxin | School of Ecology and Environment, Tibet University, Lhasa 850000, China
School of Environment, Northeast Normal University, Changchun 130117, China | lizhenxin@utibet.edu.cn |
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| 中文摘要: |
| 土地利用变化是调控陆地生态系统中碳氮源汇功能的重要因素。为了阐明半干旱半湿润区草地（GL）、林地（WL）和农田（FL）中三种典型土地利用类型土壤中碳氮元素水平和垂直分布特征，本研究采用网格调查法采样，测定了3种土地利用类型土壤中36个样点和6个土层（0~10、10~20、20~30、30~40、40~60、60~100 cm）中总碳和总氮含量，利用单因素方差分析比较了3种土壤不同土层中碳氮含量差异，进一步探究了其垂直分布特征，并利用半方差分析与克里金插值分析了3种土地利用类型表层土壤中碳氮元素的空间异质规律。结果表明：林地表层（0~10 cm）土壤总碳含量变异性显著高于草地和农田，而草地生态系统各土层土壤中总氮含量的变异性均高于林地和农田对应土层中土壤总氮含量的变异性。3种土地利用类型中，草地土壤总碳的垂直分布并未呈现随深度增加而递减的特征，而林地和农田土壤总碳的垂直分布基本呈现随深度增加而递减的规律。0~100 cm土层中草地土壤总碳含量最高（1.50‰±0.23%），约为林地（0.75%±0.10%）的2倍、农田（1.04%±0.12%）的1.4倍；而林地土壤中的总氮含量最高（0.53‰±0.09‰），约为草地（0.30‰±0.06‰）的1.8倍、农田（0.38‰±0.06‰）的1.4倍。半方差分析结果表明，除了林地表层土壤总碳的空间自相关程度为中等外，其他三种土地利用类型表层土壤碳氮元素均表现为强烈的空间自相关。研究表明，在半干旱半湿润区域，原生草地生态系统相比于林地和农田具有更高的固碳潜力。 |
| 英文摘要: |
| Land use change is a crucial factor regulating carbon and nitrogen source-sink functions in terrestrial ecosystems. To elucidate the horizontal and vertical distribution characteristics and content differences of carbon and nitrogen elements in soils under three typical land use types（grassland, woodland, and farmland）in a semi-arid to semi-humid region, this study employed a grid sampling method. Total carbon and total nitrogen contents were measured at 36 sampling points across six soil layers（0-10, 10-20, 20-30, 30-40, 40-60 cm, and 60-100 cm）for each land use type. One-way ANOVA was used to compare carbon and nitrogen content differences among soil layers in the three soil types, further exploring their vertical distribution characteristics. Semi-variance analysis and Kriging interpolation were utilized to analyze the spatial heterogeneity patterns of carbon and nitrogen elements in the topsoil of the three land use types. Results showed that the variability in total carbon content in the topsoil（0-10 cm）of woodland was significantly higher than that of grassland and farmland. However, the variability in total nitrogen content in six soil layers of the grassland ecosystem was higher than that in woodland and farmland. Among the three land use types, the vertical distribution of total soil carbon in grassland did not show a decreasing trend with increasing depth, while woodland and farmland soils generally exhibited a decreasing trend of total carbon with depth. In the 0-100 cm soil layer, grassland soil had the highest total carbon content（1.50%±0.23%）, approximately twice that of woodland（0.75%±0.10%）and 1.4 times that of farmland（1.04%±0.12%）. Woodland soil had the highest total nitrogen content（0.53‰±0.09‰）, about 1.8 times that of grassland（0.30‰ ± 0.06‰）and 1.4 times that of farmland（0.38‰ ± 0.06‰）. Semi-variance analysis results indicated strong spatial autocorrelation for carbon and nitrogen elements in the topsoil of all land use types, except for total carbon in woodland topsoil, which showed moderate spatial autocorrelation. The study demonstrates that in semi-arid to semi-humid regions, native grassland ecosystems have higher carbon sequestration potential compared with woodland and farmland. |
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