清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Influence of the vegetation restoration age on the soil detachment of root–soil composites on the Loess Plateau of China

黄土高原 植被(病理学) 中国 黄土 高原(数学) 地质学 土壤科学 环境科学 地貌学 地理 考古 医学 数学 数学分析 病理
作者
Jianye Ma,Sijing Zhang,Fangtao She,Xiaofeng Zhao,Bo Ma,Haibo Li,Chenguang Wang,Yongze Shang,Zhanbin Li
出处
期刊:European Journal of Soil Science [Wiley]
卷期号:75 (6)
标识
DOI:10.1111/ejss.70011
摘要

Abstract Vegetation restoration processes significantly affect near‐surface characteristics, thus affecting soil detachment. Existing research has primarily focused on analysing soil detachment via root morphological parameters and soil physical and chemical properties. However, few studies have focused on analysing the variation in soil detachment with restoration age from a mechanical parameter perspective. Natural, undisturbed soil samples were collected from five grasslands restored for 1–22 years and from one bare plot (0 years of restoration, employed as the control). The collected samples were subjected to flow scouring in hydraulic flume experiments under six stream powers. The relationship between the soil detachment rate (SDR) and the mechanical parameters of the root–soil composites, namely root cohesion and soil shear strength ( τ 200 ), were quantified to reveal the mechanical mechanism underlying soil detachment during vegetation restoration. The results indicated that the SDR decreased, whereas root cohesion increased with increasing vegetation restoration age. The dominant factors influencing the SDR changed from hydrodynamics at the early restoration stage to the mechanical properties of the root–soil composites at the late stage. An SDR model with a high prediction accuracy (Nash–Sutcliffe efficiency = 0.96 and R 2 = 0.96) was developed based on mechanical parameters, and the fitting effect was greater than that of the SDR prediction model developed based on root morphological parameters and soil physical and chemical properties. This study aimed to analyse the SDR variation mechanism from the perspective of mechanics and could provide reference for the study of the erosion reduction effect of roots.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
DocM完成签到 ,获得积分10
32秒前
woxinyouyou完成签到,获得积分0
40秒前
月军完成签到,获得积分10
49秒前
gexzygg应助科研通管家采纳,获得10
1分钟前
1分钟前
qtmxxx发布了新的文献求助10
1分钟前
SciGPT应助美味SCI歌单采纳,获得100
1分钟前
qtmxxx完成签到,获得积分10
1分钟前
华仔应助干净怀寒采纳,获得10
2分钟前
2分钟前
美味SCI歌单完成签到,获得积分10
2分钟前
美味SCI歌单发布了新的文献求助100
2分钟前
池雨完成签到 ,获得积分10
2分钟前
2分钟前
gexzygg应助科研通管家采纳,获得10
3分钟前
3分钟前
4分钟前
干净怀寒发布了新的文献求助10
4分钟前
干净怀寒完成签到,获得积分10
4分钟前
zsmj23完成签到 ,获得积分0
4分钟前
sunialnd完成签到,获得积分10
4分钟前
5分钟前
5分钟前
krajicek发布了新的文献求助10
5分钟前
方白秋完成签到,获得积分0
5分钟前
魔幻的妖丽完成签到 ,获得积分0
6分钟前
热情的橙汁完成签到,获得积分10
6分钟前
qiongqiong完成签到 ,获得积分10
6分钟前
我是老大应助科研通管家采纳,获得10
7分钟前
kmzzy完成签到,获得积分10
7分钟前
daguan完成签到,获得积分10
7分钟前
荣幸完成签到 ,获得积分10
8分钟前
自由橘子完成签到 ,获得积分10
8分钟前
大医仁心完成签到 ,获得积分10
9分钟前
科研通AI6应助Kate采纳,获得10
9分钟前
10分钟前
Kate发布了新的文献求助10
10分钟前
wangfaqing942完成签到 ,获得积分10
11分钟前
大模型应助阿泽采纳,获得10
11分钟前
酷酷的紫南完成签到 ,获得积分10
12分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1621
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
King Tyrant 600
Laryngeal Mask Anesthesia: Principles and Practice. 2nd ed 500
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5565086
求助须知:如何正确求助?哪些是违规求助? 4649875
关于积分的说明 14689323
捐赠科研通 4591749
什么是DOI,文献DOI怎么找? 2519367
邀请新用户注册赠送积分活动 1491917
关于科研通互助平台的介绍 1463081