{"title":"Effects of different land-use types on soil detachment capacity in loess areas","authors":"","doi":"10.1016/j.catena.2024.108523","DOIUrl":null,"url":null,"abstract":"<div><div>Against the background of similar geomorphological characteristics and environmental temperatures, land-use types alter the soil detachment capacity (<em>D</em><sub>c</sub>) by changing soil properties and root traits. However, there is a lack of in-depth discussion regarding the response of <em>D</em><sub>c</sub> to land-use types in loess areas. The purpose of this study was to quantify the influences of different land-use types in loess areas on <em>D</em><sub>c</sub>, soil erodibility (<em>k</em><sub>r</sub>), and critical shear stress (<em>τ</em><sub>c</sub>) and explore the key factors affecting <em>D</em><sub>c</sub> under runoff erosion based on the links between root traits and soil properties, and combined with PLS-SEM algorithm, a <em>meta</em>-model of <em>D</em><sub>c</sub> influence mechanism was established. Two hundred and seventy undisturbed soil samples were collected from six different land-use types and scoured under nine specific combinations of flow rate and slope (flow rate: 0.167–0.5 L s<sup>−1</sup>, slope: 10.5–20.8 %). The results showed that with the change in land-use type, <em>D</em><sub>c</sub> changed considerably. The average <em>D</em><sub>c</sub> of the shrubland was only 1/22 of that of the cropland. The change trend of <em>k</em><sub>r</sub> was consistent with that of <em>D</em><sub>c</sub>, while the change trend of <em>τ</em><sub>c</sub> had no obvious regularity. The relationships between the root density parameters and <em>D</em><sub>c</sub> were simulated using the exponential function and Hill curve, respectively, and the predictive effect of the Hill curve was better than that of the exponential function. Compared with the other comprehensive hydraulic parameters, shear stress (<em>τ</em>) was <em>D<sub>c</sub></em>’s most effective predictive factor. Correlation and path analyses revealed that soil organic matter (SOM) and root length density (RLD) were the best indicators of <em>D</em><sub>c</sub>. Furthermore, a dimensionless <em>D</em><sub>c</sub> prediction model suitable for different land-use types was established based on <em>τ</em>, SOM, and RLD, and the model exhibited a high accuracy (<em>R</em><sup>2</sup> = 0.955, <em>NSE</em> = 0.911).</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Catena","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0341816224007203","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Against the background of similar geomorphological characteristics and environmental temperatures, land-use types alter the soil detachment capacity (Dc) by changing soil properties and root traits. However, there is a lack of in-depth discussion regarding the response of Dc to land-use types in loess areas. The purpose of this study was to quantify the influences of different land-use types in loess areas on Dc, soil erodibility (kr), and critical shear stress (τc) and explore the key factors affecting Dc under runoff erosion based on the links between root traits and soil properties, and combined with PLS-SEM algorithm, a meta-model of Dc influence mechanism was established. Two hundred and seventy undisturbed soil samples were collected from six different land-use types and scoured under nine specific combinations of flow rate and slope (flow rate: 0.167–0.5 L s−1, slope: 10.5–20.8 %). The results showed that with the change in land-use type, Dc changed considerably. The average Dc of the shrubland was only 1/22 of that of the cropland. The change trend of kr was consistent with that of Dc, while the change trend of τc had no obvious regularity. The relationships between the root density parameters and Dc were simulated using the exponential function and Hill curve, respectively, and the predictive effect of the Hill curve was better than that of the exponential function. Compared with the other comprehensive hydraulic parameters, shear stress (τ) was Dc’s most effective predictive factor. Correlation and path analyses revealed that soil organic matter (SOM) and root length density (RLD) were the best indicators of Dc. Furthermore, a dimensionless Dc prediction model suitable for different land-use types was established based on τ, SOM, and RLD, and the model exhibited a high accuracy (R2 = 0.955, NSE = 0.911).
在地貌特征和环境温度相似的背景下,土地利用类型会通过改变土壤性质和根系特征来改变土壤剥离能力(Dc)。然而,关于黄土地区 Dc 对土地利用类型的响应,目前还缺乏深入的讨论。本研究旨在量化黄土地区不同土地利用类型对Dc、土壤侵蚀性(kr)和临界剪切应力(τc)的影响,并根据根系性状与土壤性质之间的联系,探讨径流侵蚀条件下影响Dc的关键因素,结合PLS-SEM算法,建立Dc影响机制的元模型。从 6 种不同土地利用类型中采集了 270 个未扰动土壤样本,在 9 种特定的流速和坡度组合(流速:0.167-0.5 L s-1,坡度:10.5-20.8%)下进行了冲刷。结果表明,随着土地利用类型的变化,Dc 也发生了很大变化。灌木林地的平均 Dc 值仅为耕地的 1/22。kr 的变化趋势与 Dc 的变化趋势一致,而 τc 的变化趋势没有明显的规律性。分别用指数函数和希尔曲线模拟了根系密度参数与 Dc 的关系,希尔曲线的预测效果优于指数函数。与其他综合水力参数相比,剪应力(τ)是 Dc 最有效的预测因子。相关性和路径分析显示,土壤有机质(SOM)和根长密度(RLD)是 Dc 的最佳指标。此外,基于τ、SOM 和 RLD,建立了一个适合不同土地利用类型的无量纲 Dc 预测模型,该模型表现出较高的准确性(R2 = 0.955,NSE = 0.911)。
期刊介绍:
Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment.
Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.