{"title":"青东祁连山水土流失动态及其驱动因素分析","authors":"Mingyuan Li, Xiaohuang Liu, Jianli Ding, Wenbo Zhang, Ran Wang, Xinping Luo, Liyuan Xing, Chao Wang, Honghui Zhao","doi":"10.1071/sr24078","DOIUrl":null,"url":null,"abstract":"<strong> Context</strong><p>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.</p><strong> Aims</strong><p>To clarify the current status of soil erosion and its drivers in the alpine temperate forest-grass subregion of Qilian Mountains in Qingdong (ATFSQMQ).</p><strong> Methods</strong><p>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.</p><strong> Key results</strong><p>(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.</p><strong> Conclusions</strong><p>The soil erosion modulus fluctuated and increased from 2001 to 2020, but will gradually improve in the future.</p><strong> Implications</strong><p>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.</p>","PeriodicalId":21818,"journal":{"name":"Soil Research","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of soil erosion dynamics and its driving factors in the Qilian Mountains of Qingdong\",\"authors\":\"Mingyuan Li, Xiaohuang Liu, Jianli Ding, Wenbo Zhang, Ran Wang, Xinping Luo, Liyuan Xing, Chao Wang, Honghui Zhao\",\"doi\":\"10.1071/sr24078\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong> Context</strong><p>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.</p><strong> Aims</strong><p>To clarify the current status of soil erosion and its drivers in the alpine temperate forest-grass subregion of Qilian Mountains in Qingdong (ATFSQMQ).</p><strong> Methods</strong><p>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.</p><strong> Key results</strong><p>(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.</p><strong> Conclusions</strong><p>The soil erosion modulus fluctuated and increased from 2001 to 2020, but will gradually improve in the future.</p><strong> Implications</strong><p>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.</p>\",\"PeriodicalId\":21818,\"journal\":{\"name\":\"Soil Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2024-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soil Research\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1071/sr24078\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"SOIL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soil Research","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1071/sr24078","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
Analysis of soil erosion dynamics and its driving factors in the Qilian Mountains of Qingdong
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.
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.