Scholarlink

Purpose <p>This study aimed to quantify the effects of freeze‒thaw on the soil detachment rate (SDR) and soil erosion resistance of alpine meadows with different vegetation cover and develop a prediction model to quantify soil erosion resistance.</p> Materials and methods <p>In this study, alpine meadows with four vegetation coverages (approximately 100%, 70%, 40% and 10%) were selected to study the effects of freeze–thaw on the SDR and soil erosion resistance. The soil samples were frozen at -10&#xa0;°C for 12&#xa0;h and thawed at 10&#xa0;°C for 12&#xa0;h. Hydraulic flume experiments were performed using a scouring device. The slope gradients were 11.11% and 16.67%, and the flow discharge was 12, 18 and 24&#xa0;L min<sup>− 1</sup>.</p> Results and discussion <p>Compared with the 100% coverage meadows, the SDR increased by 1.48, 4.34, and 6.30 times in meadows with 70%, 40% and 10% coverage, respectively. The SDR increased 1.46–2.49 times after freeze‒thaw disturbance. The contribution of flow discharge (24.76%) to the SDR was greater than that of coverage (12.47%), freeze‒thaw (5.66%) and slope gradient (1.57%). The soil rill erodibility (SRE) of the 70%, 40% and 10% coverage meadows increased by 1.48, 4.52 and 6.48 times, respectively. The freeze‒thaw effect intensified this change in amplitude (which increased by 2.86–3.41 times). The SRE of different coverage alpine meadows could be modelled using a ternary power function of soil water-stable aggregate contents, soil cohesion and root dry weight density under freeze‒thaw conditions (NSE = 0.84, R<sup>2</sup> = 0.85).</p> Conclusions <p>Freeze–thaw disturbance significantly increased the SDR and SRE of alpine meadow soils with different vegetation coverages. The soil water-stable aggregate content, soil cohesion, and root dry weight density could be effectively used through nonlinear regression to represent the SRE.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Effects of freeze‒thaw on soil erosion resistance of alpine meadows with different vegetation cover in the source of the Changjiang River Mengzonggou small watershed

  • 期刊论文

  • 发表日期：

    2025年12月9日

查看全文
  • Baoyang Sun,
  • Feipeng Ren,
  • Jigen Liu,
  • Wenfeng Ding,
  • Jianming Li,
  • Guanhua Zhang,
  • Honghu Liu

摘要

Purpose

This study aimed to quantify the effects of freeze‒thaw on the soil detachment rate (SDR) and soil erosion resistance of alpine meadows with different vegetation cover and develop a prediction model to quantify soil erosion resistance.

Materials and methods

In this study, alpine meadows with four vegetation coverages (approximately 100%, 70%, 40% and 10%) were selected to study the effects of freeze–thaw on the SDR and soil erosion resistance. The soil samples were frozen at -10 °C for 12 h and thawed at 10 °C for 12 h. Hydraulic flume experiments were performed using a scouring device. The slope gradients were 11.11% and 16.67%, and the flow discharge was 12, 18 and 24 L min− 1.

Results and discussion

Compared with the 100% coverage meadows, the SDR increased by 1.48, 4.34, and 6.30 times in meadows with 70%, 40% and 10% coverage, respectively. The SDR increased 1.46–2.49 times after freeze‒thaw disturbance. The contribution of flow discharge (24.76%) to the SDR was greater than that of coverage (12.47%), freeze‒thaw (5.66%) and slope gradient (1.57%). The soil rill erodibility (SRE) of the 70%, 40% and 10% coverage meadows increased by 1.48, 4.52 and 6.48 times, respectively. The freeze‒thaw effect intensified this change in amplitude (which increased by 2.86–3.41 times). The SRE of different coverage alpine meadows could be modelled using a ternary power function of soil water-stable aggregate contents, soil cohesion and root dry weight density under freeze‒thaw conditions (NSE = 0.84, R2 = 0.85).

Conclusions

Freeze–thaw disturbance significantly increased the SDR and SRE of alpine meadow soils with different vegetation coverages. The soil water-stable aggregate content, soil cohesion, and root dry weight density could be effectively used through nonlinear regression to represent the SRE.