Meng Tingting, Han Jichang, Zhang Yang, Sun Yingying, Liu Zhe, Zhang Ruiqing
Shaanxi Provincial Land Engineering Construction Group Co., Ltd, Xi'an, China.
Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, China.
Sci Rep. 2024 Apr 17;14(1):8864. doi: 10.1038/s41598-024-59466-w.
In this study, fast-growing poplar reclaimed from abandoned homestead in Xixian New District, Xi'an City, Shaanxi Province, was used as the research object to explore the multi-fractal characteristics of soil particle size distribution under different management modes of abandoned land (control), irrigation, fertilizer irrigation and mixed fertilizer irrigation. The results showed that the mean values of soil clay, silt and sand in abandoned land were 14.58%, 81.21% and 4.22% respectively, 14.08%, 79.92% and 5.99% under irrigation, 15.17%, 81.19% and 3.64% under fertilizer irrigation, and 16.75%, 80.20% and 3.05% in mixed fertilizer treatment. From 40 cm, with increasing soil depth, soil clay particles increase under irrigation, fertilizer irrigation, and mixed fertilizer irrigation modes. The single fractal dimension of soil particle size distribution (D) in each treatment ranges from 2.721 to 2.808. At 60-100 cm, D shows fertilizer irrigation > mixed fertilizer irrigation > irrigation > abandoned land, indicating that fertilization and irrigation can increase the fine-grained matter of deep soil particles and reduce soil roughness. Compared with abandoned land, under irrigation, fertilizer irrigation and mixed fertilizer modes the capacity dimension (D), entropy dimension (D), correlation dimension(D), shape characteristics of the multifractal spectrum (Δf) and overall inhomogeneity of the soil particle size distribution (D-D) indicate an uneven distribution of soil particle size; fractal structure characteristics of soil (D-D) indicate a simplified soil structure, and degree of dispersion of soil particle size distribution (D/D) indicates that soil particle size is distributed in dense areas. Pearson correlation analysis showed that D was significantly correlated with clay, sand, D-D, soil organic matter (SOM) and soil available phosphorus (SAP) (P < 0.05). Stepwise regression analysis showed that clay was the main controlling factor of D and D-D changes. The research results can provide some potential indicators for the quality evaluation of abandoned homestead reclamation.
本研究以陕西省西安市西咸新区废弃宅基地复垦的速生杨树为研究对象,探讨废弃地(对照)、灌溉、施肥灌溉和混合施肥灌溉等不同管理模式下土壤粒径分布的多重分形特征。结果表明,废弃地土壤黏粒、粉粒和砂粒的平均值分别为14.58%、81.21%和4.22%,灌溉处理下分别为14.08%、79.92%和5.99%,施肥灌溉处理下分别为15.17%、81.19%和3.64%,混合施肥处理下分别为16.75%、80.20%和3.05%。从40 cm开始,随着土壤深度增加,灌溉、施肥灌溉和混合施肥灌溉模式下土壤黏粒颗粒增加。各处理土壤粒径分布的单分形维数(D)在2.721至2.808之间。在60 - 100 cm深度处,D表现为施肥灌溉>混合施肥灌溉>灌溉>废弃地,表明施肥和灌溉可增加深层土壤颗粒的细粒物质,降低土壤粗糙度。与废弃地相比,灌溉、施肥灌溉和混合施肥模式下土壤粒径分布的容量维数(D)、熵维数(D)、关联维数(D)、多重分形谱的形状特征(Δf)以及整体不均匀性(D - D)表明土壤粒径分布不均匀;土壤的分形结构特征(D - D)表明土壤结构简化,土壤粒径分布的分散度(D/D)表明土壤粒径分布在密集区域。Pearson相关分析表明,D与黏粒、砂粒、D - D、土壤有机质(SOM)和土壤有效磷(SAP)显著相关(P<0.05)。逐步回归分析表明,黏粒是D和D - D变化的主要控制因素。研究结果可为废弃宅基地复垦质量评价提供一些潜在指标。