黑土区水蚀坡耕地土壤穿透阻力时空变异特征及传递函数

熊乾; 高磊; 彭新华; 钱芮; 钟雪梅; 李林源; 李庆林

doi:10.13870/j.cnki.stbcxb.2024.04.019

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黑土区水蚀坡耕地土壤穿透阻力时空变异特征及传递函数

更新时间：2025-03-12

- 黑土区水蚀坡耕地土壤穿透阻力时空变异特征及传递函数
- Spatio-termporal Characteristics and Pedotransfer of Soil Penetration Resistance in Eroded Sloping Farmland of Black Soil Region, China
- 水土保持学报 2024年38卷第4期页码：162-169
- 作者机构：
  
  1. 桂林理工大学地球科学学院,广西,桂林,541004
  2. 中国科学院南京土壤研究所土壤与农业可持续发展国家重点实验室,南京,210008
  3. 中国科学院大学,北京,100049
- 作者简介：
  
  [ "熊乾(1999—),男,在读硕士研究生,主要从事土壤压实与退化研究。E-mail:xq408409337@163.com" ]
- 基金信息：
  
  国家重点研发计划项目(2021YFD1500801);中国科学院先导专项(XDA28010101)
- DOI：10.13870/j.cnki.stbcxb.2024.04.019
  中图分类号： S157.1
- 纸质出版：2024
- 稿件说明：
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熊乾, 高磊, 彭新华, 等. 黑土区水蚀坡耕地土壤穿透阻力时空变异特征及传递函数[J]. 水土保持学报, 2024,38(4):162-169.

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.
熊乾, 高磊, 彭新华, 等. 黑土区水蚀坡耕地土壤穿透阻力时空变异特征及传递函数[J]. 水土保持学报, 2024,38(4):162-169. DOI： 10.13870/j.cnki.stbcxb.2024.04.019.

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.

摘要

[目的] 为探明侵蚀坡耕地黑土硬度的时空特征及关键驱动因素。[方法] 基于典型水蚀坡耕地110个样点土壤穿透阻力动态监测及其相关因素的测定

在阐明土壤穿透阻力时空特征的基础上

利用多元线性回归(MLR)和随机森林(RFR)模型分析土壤穿透阻力的影响因素

并进一步构建其传递函数。[结果] 土壤穿透阻力时空变异性受土层深度、水分条件及农事活动等因素的综合影响

耕作层土壤穿透阻力空间上的异质性显著低于亚表层

变异系数分别为17.4%和26.3%。随土壤由湿变干和距离翻耕的时间增加

空间异质性呈增强趋势。土壤侵蚀影响土壤穿透阻力

强烈侵蚀区土壤穿透阻力高于沉积区

特别是在湿润条件下

差异更为显著(p<0.05)。与自然林地相比

所研究坡耕地73%样点的土壤穿透阻力增加

尤其在强侵蚀区。土壤含水量、容重和有机碳(SOC)是土壤穿透阻力的主要影响因素

Pearson系数分别为-0.69

0.58

-0.54

三者共同解释土壤穿透阻力88%的变异。RFR模型在土壤穿透阻力预测中表现优于MLR模型

在生长季均值的预测中

R2可达0.91

RMSE仅为91.2 kPa。[结论] 研究结果加深对侵蚀背景下黑土硬度空间分异特征的理解

为黑土压实管控提供理论依据。

Abstract

[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.

关键词

Keywords

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