XIONG Qian, GAO Lei, PENG Xinhua, et al. Spatio-termporal Characteristics and Pedotransfer of Soil Penetration Resistance in Eroded Sloping Farmland of Black Soil Region, China[J]. 2024, 38(4): 162-169.
DOI:
XIONG Qian, GAO Lei, PENG Xinhua, et al. Spatio-termporal Characteristics and Pedotransfer of Soil Penetration Resistance in Eroded Sloping Farmland of Black Soil Region, China[J]. 2024, 38(4): 162-169. DOI: 10.13870/j.cnki.stbcxb.2024.04.019.
Spatio-termporal Characteristics and Pedotransfer of Soil Penetration Resistance in Eroded Sloping Farmland of Black Soil Region, China
[Objective] To delve deeper into the spatiotemporal characteristics and pivotal driving factors underlying the hardness of black soil in eroded sloping farmlands. [Methods] Based on the dynamic monitoring of soil penetration resistance across 110 sample points in typical water erosion sloping farmlands
coupled with measurements of pertinent factors
the factors affecting soil penetration resistance were analyzed by multivariate linear regression (MLR) and random forest (RFR) models
and its transfer function was further construct. [Results] The spatiotemporal variability of soil penetration resistance was influenced by a combination of soil depth
moisture conditions
and agricultural practices. Notably
the spatial heterogeneity was significantly lower in the topsoil layer compared to the sub-surface layer
with coefficients of variation of 17.4% and 26.3%
respectively. As the soil dried out and the duration since the last tillage increases
spatial heterogeneity tended to intensify. Soil erosion played a significant role
with higher soil penetration resistance observed in areas of intense erosion compared to deposition zones
particularly under wet conditions where the difference is most pronounced (p<0.05). Furthermore
73% of the sampled points in the studied sloping farmlands exhibited increased soil penetration resistance compared to natural forestlands
especially in regions of intense erosion. Key factors that influenced soil penetration resistance included soil moisture content
bulk density
and soil organic carbon (SOC)
with Pearson coefficients of -0.69
0.58 and -0.54
respectively
collectively explaining 88% of its variability. In terms of predictive soil penetration resistance
the RFR model demonstrated superior accuracy compared to the MLR model
achieving an R2 of 0.91 and an RMSE of 91.2 kPa for mean predictions across the growing season. [Conclusion] This study enhances our understanding of the spatial heterogeneity characteristics of black soil hardness under erosion
providing a theoretical foundation for effective management of soil compaction in black soil regions.
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references
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