Analysis of soil erosion dynamics and its driving factors in the Qilian Mountains of Qingdong

IF 1.2 4区农林科学 Q4 SOIL SCIENCE

Soil Research Pub Date : 2024-08-30 DOI:10.1071/sr24078

Mingyuan Li, Xiaohuang Liu, Jianli Ding, Wenbo Zhang, Ran Wang, Xinping Luo, Liyuan Xing, Chao Wang, Honghui Zhao

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引用次数: 0

Abstract

Context

The conservation of soil and water has become an important foundational project of worldwide social and economic development in the 21st century, especially for the protection and development of critical ecological function areas in Western China.

Aims

To clarify the current status of soil erosion and its drivers in the alpine temperate forest-grass subregion of Qilian Mountains in Qingdong (ATFSQMQ).

Methods

Based on GIS technology, the Universal Soil Loss Model (RUSLE) and Geographical detector were used to simulate the extent of soil erosion and assess the drivers of soil erosion in the ATFSQMQ from 2001 to 2020, and the Patch-generating Land Use Simulation (PLUS) model and Coupled Model Intercomparison Project Phase 6 (CMIP6) model were used to predict the future soil erosion in the study area.

Key results

(1) The soil erosion modulus of the ATFSQMQ decreased going from northwest to southeast, and soil erosion increased during the 2001–2020 period, and the average soil erosion modulus increasingly fluctuated. (2) Micro-erosion is the main form of soil erosion; from 2001 to 2020, regions with micro-erosion and mild erosion decreased, while those with moderate, strong, solid, and severe erosion increased slightly. (3) Vegetation cover is the dominant factor affecting soil erosion, and the synergistic effect of vegetation cover and precipitation has the highest explanatory power.

Conclusions

The soil erosion modulus fluctuated and increased from 2001 to 2020, but will gradually improve in the future.

Implications

The analyses in this paper can shed light on the current state of soil erosion and the drivers behind it, enabling the government to target soil erosion area management.

查看原文本刊更多论文

青东祁连山水土流失动态及其驱动因素分析

背景水土保持已成为 21 世纪全球社会和经济发展的一项重要基础工程，尤其是对中国西部重要生态功能区的保护和开发而言。目的阐明青东祁连山高寒温带林草亚区（ATFSQMQ）的水土流失现状及其驱动因素。方法基于地理信息系统（GIS）技术，利用通用土壤流失模型（RUSLE）和地理探测器模拟青东祁连山高寒温带林草亚区2001-2020年土壤侵蚀程度并评估土壤侵蚀驱动因子，利用斑块生成土地利用模拟（PLUS）模型和耦合模型相互比较项目第6阶段（CMIP6）模型预测研究区未来土壤侵蚀状况。主要结果（1）2001-2020 年间，ATFSQMQ 土壤侵蚀模数由西北向东南递减，土壤侵蚀加剧，平均土壤侵蚀模数波动越来越大。(2）微侵蚀是水土流失的主要形式，2001-2020 年，微侵蚀和轻度侵蚀区域有所减少，中度、强度、固性和重度侵蚀区域略有增加。(3）植被覆盖是影响土壤侵蚀的主导因子，植被覆盖与降水的协同效应解释力最强。结论2001-2020 年间土壤侵蚀模数呈波动上升趋势，但未来将逐步改善。意义本文的分析可以揭示水土流失的现状及其背后的驱动因素，使政府能够有针对性地进行水土流失区治理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Soil Research SOIL SCIENCE-

CiteScore

3.20

自引率

6.20%

发文量

审稿时长

4.5 months

期刊介绍： Soil Research (formerly known as Australian Journal of Soil Research) is an international journal that aims to rapidly publish high-quality, novel research about fundamental and applied aspects of soil science. As well as publishing in traditional aspects of soil biology, soil physics and soil chemistry across terrestrial ecosystems, the journal welcomes manuscripts dealing with wider interactions of soils with the environment. Soil Research is published with the endorsement of the Commonwealth Scientific and Industrial Research Organisation (CSIRO) and the Australian Academy of Science.