高连通性区是黄土高原流域产沙关键源区

IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Jiaxin Li , Lei Wu , Shuai Liu , Yimu Liu , Bailin Du , Huanwei Li , Zongjun Guo
{"title":"高连通性区是黄土高原流域产沙关键源区","authors":"Jiaxin Li ,&nbsp;Lei Wu ,&nbsp;Shuai Liu ,&nbsp;Yimu Liu ,&nbsp;Bailin Du ,&nbsp;Huanwei Li ,&nbsp;Zongjun Guo","doi":"10.1016/j.catena.2025.109260","DOIUrl":null,"url":null,"abstract":"<div><div>In recent decades, soil erosion on the Loess Plateau has markedly declined, leading to a significant reduction in sediment entering river systems. However, the relationships among sediment connectivity, soil erosion, and critical source areas (CSAs) of sediment yield remain inadequately understood. This study addresses this gap by developing a coupled erosion and sediment yield model that integrates the Revised Universal Soil Loss Equation (RUSLE), the modified Index of Sediment Connectivity (IC<sub>R</sub>), and sediment retention estimates from check dams. The Geodetector model is employed to identify the dominant factors influencing soil erosion, while statistical analyses based on land use and land cover (LULC) data are used to identify CSAs. The results demonstrate that the coupled erosion-sediment yield model is both applicable and robust for the Yanhe watershed over the study period from 2000 to 2020. Vegetation cover, slope, and slope length are identified as the primary driving factors of soil erosion. The contribution of sediment reduction by check dams significantly declined from 60.7 % during 2000–2003 to 14.7 % during 2016–2020. The remaining 39.3 %–85.3 % of sediment reduction is attributed to changes in sediment connectivity driven by vegetation restoration and rainfall variability. The contribution from vegetation-induced sediment reduction is expected to increase over time. Areas characterized by both high sediment connectivity and high erosion intensity are identified as key zones for erosion control. Spatial analysis reveals that 76.82 % of CSAs are located in regions with high connectivity. Receiver Operating Characteristic (ROC) curve analysis identified CSAs thresholds of 10.74 % for forest cover and 27.84 % for source land types (cropland and bare ground). Based on these thresholds, CSAs occupy only 36.54 % of the watershed area but contribute 52.16 % of the total sediment yield, indicating their disproportionate impact on sediment production.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"258 ","pages":"Article 109260"},"PeriodicalIF":5.4000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High connectivity region dominates the critical source area of sediment yield in the Loess Plateau watershed\",\"authors\":\"Jiaxin Li ,&nbsp;Lei Wu ,&nbsp;Shuai Liu ,&nbsp;Yimu Liu ,&nbsp;Bailin Du ,&nbsp;Huanwei Li ,&nbsp;Zongjun Guo\",\"doi\":\"10.1016/j.catena.2025.109260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In recent decades, soil erosion on the Loess Plateau has markedly declined, leading to a significant reduction in sediment entering river systems. However, the relationships among sediment connectivity, soil erosion, and critical source areas (CSAs) of sediment yield remain inadequately understood. This study addresses this gap by developing a coupled erosion and sediment yield model that integrates the Revised Universal Soil Loss Equation (RUSLE), the modified Index of Sediment Connectivity (IC<sub>R</sub>), and sediment retention estimates from check dams. The Geodetector model is employed to identify the dominant factors influencing soil erosion, while statistical analyses based on land use and land cover (LULC) data are used to identify CSAs. The results demonstrate that the coupled erosion-sediment yield model is both applicable and robust for the Yanhe watershed over the study period from 2000 to 2020. Vegetation cover, slope, and slope length are identified as the primary driving factors of soil erosion. The contribution of sediment reduction by check dams significantly declined from 60.7 % during 2000–2003 to 14.7 % during 2016–2020. The remaining 39.3 %–85.3 % of sediment reduction is attributed to changes in sediment connectivity driven by vegetation restoration and rainfall variability. The contribution from vegetation-induced sediment reduction is expected to increase over time. Areas characterized by both high sediment connectivity and high erosion intensity are identified as key zones for erosion control. Spatial analysis reveals that 76.82 % of CSAs are located in regions with high connectivity. Receiver Operating Characteristic (ROC) curve analysis identified CSAs thresholds of 10.74 % for forest cover and 27.84 % for source land types (cropland and bare ground). Based on these thresholds, CSAs occupy only 36.54 % of the watershed area but contribute 52.16 % of the total sediment yield, indicating their disproportionate impact on sediment production.</div></div>\",\"PeriodicalId\":9801,\"journal\":{\"name\":\"Catena\",\"volume\":\"258 \",\"pages\":\"Article 109260\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2025-07-01\",\"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/S0341816225005624\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Catena","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0341816225005624","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

摘要

近几十年来,黄土高原土壤侵蚀明显减少,进入水系的泥沙显著减少。然而,泥沙连通性、土壤侵蚀和产沙临界源区之间的关系仍未得到充分认识。本研究通过建立一个耦合侵蚀和产沙模型来解决这一问题,该模型集成了经修订的通用土壤流失方程(RUSLE)、经修订的泥沙连通性指数(ICR)和拦河坝的泥沙保留估计。Geodetector模型用于识别影响土壤侵蚀的主导因子,而基于土地利用和土地覆盖(LULC)数据的统计分析用于识别csa。结果表明,2000 - 2020年沿河流域侵蚀-产沙耦合模型具有较好的适用性和稳健性。植被覆盖度、坡度和坡度长度是土壤侵蚀的主要驱动因素。拦河坝的减沙贡献率从2000-2003年的60.7%显著下降到2016-2020年的14.7%。其余39.3% - 85.3%的泥沙减少归因于植被恢复和降雨变率驱动的泥沙连通性变化。预计植被引起的泥沙减少的贡献将随着时间的推移而增加。泥沙连通性高、侵蚀强度大的地区是控制侵蚀的关键区域。空间分析表明,76.82%的csa位于高连通性区域。受试者工作特征(ROC)曲线分析表明,森林覆盖的csa阈值为10.74%,源地类型(农田和裸地)的csa阈值为27.84%。基于这些阈值,csa仅占流域面积的36.54%,但占总产沙量的52.16%,表明其对产沙的影响不成比例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High connectivity region dominates the critical source area of sediment yield in the Loess Plateau watershed
In recent decades, soil erosion on the Loess Plateau has markedly declined, leading to a significant reduction in sediment entering river systems. However, the relationships among sediment connectivity, soil erosion, and critical source areas (CSAs) of sediment yield remain inadequately understood. This study addresses this gap by developing a coupled erosion and sediment yield model that integrates the Revised Universal Soil Loss Equation (RUSLE), the modified Index of Sediment Connectivity (ICR), and sediment retention estimates from check dams. The Geodetector model is employed to identify the dominant factors influencing soil erosion, while statistical analyses based on land use and land cover (LULC) data are used to identify CSAs. The results demonstrate that the coupled erosion-sediment yield model is both applicable and robust for the Yanhe watershed over the study period from 2000 to 2020. Vegetation cover, slope, and slope length are identified as the primary driving factors of soil erosion. The contribution of sediment reduction by check dams significantly declined from 60.7 % during 2000–2003 to 14.7 % during 2016–2020. The remaining 39.3 %–85.3 % of sediment reduction is attributed to changes in sediment connectivity driven by vegetation restoration and rainfall variability. The contribution from vegetation-induced sediment reduction is expected to increase over time. Areas characterized by both high sediment connectivity and high erosion intensity are identified as key zones for erosion control. Spatial analysis reveals that 76.82 % of CSAs are located in regions with high connectivity. Receiver Operating Characteristic (ROC) curve analysis identified CSAs thresholds of 10.74 % for forest cover and 27.84 % for source land types (cropland and bare ground). Based on these thresholds, CSAs occupy only 36.54 % of the watershed area but contribute 52.16 % of the total sediment yield, indicating their disproportionate impact on sediment production.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Catena
Catena 环境科学-地球科学综合
CiteScore
10.50
自引率
9.70%
发文量
816
审稿时长
54 days
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信