| 广东罗浮山土壤颗粒分形维数分布特征 |
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| 引用本文： | 贾重建,卢瑛,吴刚,黄伟濠,秦海龙,姜坤.广东罗浮山土壤颗粒分形维数分布特征[J].土壤通报,2022,53(5):1049-1055. |
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| 作者姓名： | 贾重建 卢瑛 吴刚 黄伟濠 秦海龙 姜坤 |
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| 作者单位： | 1.广东生态工程职业学院，广东 广州 510520 |
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| 基金项目： | NSFC-广东省联合基金集成项目（U1901601）和国家科技基础性工作专项重点项目（2008FY110600、2014FY110200）资助 |
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| 摘 要： | 目的 揭示广东罗浮山不同海拔高度土壤颗粒组成分形维数特征的分布规律。 方法 在广东罗浮山不同海拔高度的10个土壤采样点挖掘剖面，采集各发生层土壤，测定了土壤颗粒组成、有机碳（SOC）、全铁（Fet）、游离铁（Fed）、无定形铁（Feo）、阳离子交换量（CEC）等理化性质，分析了土壤颗粒分形维数与海拔、土壤颗粒分布及化学性质之间的相关关系。 结果 随着土层深度的增加，土壤颗粒分形维数先增加后减小；随着海拔的升高，土壤黏粒含量、颗粒分形维数均呈减小趋势，且与海拔高度均呈极显著相关关系；随土壤质地的变细，分形维数平均值由2.7601上升到了2.8954，即分形维数随土壤质地的变细而增大；颗粒分形维数与砂粒呈极显著负相关关系，与黏粒呈极显著正相关关系；分形维数与SOC、Feo、Feo/Fed、CEC呈极显著或显著负相关关系，与Fet、Fed含量表现为极显著正相关关系；通径分析表明Fet、Feo/Fed是化学性质中影响颗粒分形维数的主要因素。 结论 土壤颗粒分形维数可以作为土壤质地的重要诊断指标，也可作为不同海拔高度土壤风化成土进程的参考表征指标。
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| 关 键 词： | 分形维数 颗粒组成 土壤剖面 海拔梯度 罗浮山 |
| 收稿时间： | 2022-03-01 |
Fractal Features of Particle-Size Distribution of Soil Profiles in Luofu Mountain,Guangdong |
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| Institution: | 1.Guangdong Eco-engineering Polytechnic, Guangzhou 510520, China2.College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China3.Guangdong Hydrogeology Battalion, Guangzhou 5105104.Environmental Remediation Technology Co., Ltd., Shaoxing 312000, China |
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| Abstract: | Objective The fractal dimension characteristics of particle-size distribution of soil profiles along an altitude gradient were revealed in Luofu Mountain, Guangdong. Method Ten soil sampling points at different altitude gradients in Luofu Mountain were selected and soil samples were collected from profile horizons. Soil physic-chemical properties, such as soil particle-size composition, soil organic carbon (SOC), Fet, Fed, Feo, CEC, etc, were determined to analyze the correlation of soil particle fractal dimension with altitude gradients, soil particle distribution (PSD) and chemical properties. Result With the increase of soil depth, soil particle fractal dimension in the Luofu Mountain increased firstly and then decreased with the increase of altitude. The clay content and fractal dimension both decreased, and had extra-significant correlation with altitude. The average of fractal dimension increased from 2.7601 to 2.8954 with soil texture, that is, the fractal dimension increased with the soil texture. The fractal dimension was extra-significantly and negatively related to the sand, whereas, there was extra-significantly positive correlation between fractal dimension and clay. The fractal dimension had extra-significantly or significantly negative correlation with SOC, Feo, Feo/Fed, CEC, but was extra-significantly positively correlated with Fet, Fed. Path analysis showed that Fet, Feo/Fed had the main influence of chemical properties on soil particle fractal dimension. Conclusion Soil particle fractal dimension could be used to indicate the degree of soil weathering development at different altitudes and be applied as an important diagnostic indicator for soil texture. |
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