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Soil_Physical_Properties_Gully_Erosion_Serbia_2024

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DataCite Commons2025-04-01 更新2025-04-16 收录
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This dataset contains information on the physical properties of soil collected from eroded and non-eroded areas within a forest watershed in Serbia. Soil samples were obtained from 13 cross-sections along gully networks, targeting three specific positions: the gully bed bottom (G), left bank (L), and right bank (R). Sampling was conducted at two depths: Zone 1 (5–10 cm) and Zone 2 (10–20 cm). The dataset includes measurements of the following parameters: Soil moisture content Soil density (dry, specific, and moist) Porosity and void ratio Particle size distribution Soil consistency Clay activity index The study aims to assess the influence of erosion processes on soil physical properties, while minimizing external factors such as slope, vegetation, and altitude by selecting a consistent study area. Statistical analyses, including a two-way ANOVA, were performed to investigate the spatial variability of these properties with respect to sampling position and soil depth. This dataset provides valuable insights into the relationship between erosion mechanisms and soil physical properties, serving as a basis for further research on soil erosion and conservation strategies.

本数据集收录了塞尔维亚某森林流域内侵蚀区与非侵蚀区的土壤物理属性相关信息。研究沿沟壑网络布设了13条横断面,分别采集了沟壑床底(Gully bed bottom, G)、左岸(Left bank, L)与右岸(Right bank, R)三个特定位置的土样,采样深度分为两个层级:1区(5~10 cm)与2区(10~20 cm)。 本数据集包含以下参数的实测数据:土壤含水量、土壤密度(干密度、比重与湿密度)、孔隙度与孔隙比、粒径分布、土壤稠度、黏土活性指数。 本研究通过选取条件一致的研究区域,尽可能控制坡度、植被覆盖与海拔等外部因素的干扰,以评估侵蚀过程对土壤物理属性的影响。研究采用包括双因素方差分析(two-way ANOVA)在内的多种统计分析方法,探究采样位置与土壤深度对土壤属性空间变异性的影响。 本数据集为揭示侵蚀机制与土壤物理属性间的内在关联提供了极具价值的参考视角,可作为后续土壤侵蚀研究与水土保持策略制定的重要基础。
提供机构:
Mendeley Data
创建时间:
2024-11-21
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