中亚沙漠化的自然和人为因素

IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Yabin Wei , Hui Tao , Zbigniew W. Kundzewicz , Sanjit Kumar Mondal , Anqian Wang , Yaoming Li , Tong Jiang
{"title":"中亚沙漠化的自然和人为因素","authors":"Yabin Wei ,&nbsp;Hui Tao ,&nbsp;Zbigniew W. Kundzewicz ,&nbsp;Sanjit Kumar Mondal ,&nbsp;Anqian Wang ,&nbsp;Yaoming Li ,&nbsp;Tong Jiang","doi":"10.1016/j.catena.2025.109154","DOIUrl":null,"url":null,"abstract":"<div><div>Desertification is one of the most critical global environmental challenges, with significant ecological and socio-economic impacts. Understanding its dynamics and underlying drivers is crucial for developing effective prevention and control strategies. This study provides a comprehensive spatiotemporal analysis of desertification dynamics in the drylands of Central Asia (CA) from 1982 to 2020, employing the Desertification Difference Index (DDI). A non-linear Granger causality framework was utilized to quantify the relative contributions of natural and anthropogenic drivers to desertification across various land cover types. The trend analysis revealed that approximately 14.81% of the drylands in Central Asia experienced desertification during the study period. Pixel-wise fitted random forest Granger causality models identified Snow Water Equivalent (SWE) as a dominant factor influencing dryland changes in the region, particularly in cropland, grassland, shrubland, and bare land. In contrast, temperature emerged as the dominant driver of forest degradation. Overall, 69.1% of desertification in CA was attributed to natural drivers, while anthropogenic drivers accounted for 30.9%. These findings offer pivotal insights into the processes driving desertification in Central Asia’s drylands, highlighting the need for region-specific land management and ecological conservation strategies.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"257 ","pages":"Article 109154"},"PeriodicalIF":5.4000,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Natural and anthropogenic contributions to desertification in Central Asia\",\"authors\":\"Yabin Wei ,&nbsp;Hui Tao ,&nbsp;Zbigniew W. Kundzewicz ,&nbsp;Sanjit Kumar Mondal ,&nbsp;Anqian Wang ,&nbsp;Yaoming Li ,&nbsp;Tong Jiang\",\"doi\":\"10.1016/j.catena.2025.109154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Desertification is one of the most critical global environmental challenges, with significant ecological and socio-economic impacts. Understanding its dynamics and underlying drivers is crucial for developing effective prevention and control strategies. This study provides a comprehensive spatiotemporal analysis of desertification dynamics in the drylands of Central Asia (CA) from 1982 to 2020, employing the Desertification Difference Index (DDI). A non-linear Granger causality framework was utilized to quantify the relative contributions of natural and anthropogenic drivers to desertification across various land cover types. The trend analysis revealed that approximately 14.81% of the drylands in Central Asia experienced desertification during the study period. Pixel-wise fitted random forest Granger causality models identified Snow Water Equivalent (SWE) as a dominant factor influencing dryland changes in the region, particularly in cropland, grassland, shrubland, and bare land. In contrast, temperature emerged as the dominant driver of forest degradation. Overall, 69.1% of desertification in CA was attributed to natural drivers, while anthropogenic drivers accounted for 30.9%. These findings offer pivotal insights into the processes driving desertification in Central Asia’s drylands, highlighting the need for region-specific land management and ecological conservation strategies.</div></div>\",\"PeriodicalId\":9801,\"journal\":{\"name\":\"Catena\",\"volume\":\"257 \",\"pages\":\"Article 109154\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2025-05-17\",\"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/S0341816225004564\",\"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/S0341816225004564","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

荒漠化是最严重的全球环境挑战之一,具有重大的生态和社会经济影响。了解其动态和潜在驱动因素对于制定有效的预防和控制战略至关重要。利用沙漠化差异指数(DDI)对1982 - 2020年中亚旱地沙漠化动态进行了全面的时空分析。利用非线性格兰杰因果关系框架量化了不同土地覆盖类型的自然和人为驱动因素对荒漠化的相对贡献。趋势分析表明,在研究期间,中亚地区约14.81%的旱地发生了沙漠化。像素拟合随机森林格兰杰因果模型发现,雪水当量(SWE)是影响该地区旱地变化的主要因素,特别是在农田、草地、灌丛和裸地。相比之下,温度成为森林退化的主要驱动因素。总体而言,中国沙漠化的自然驱动因素占69.1%,人为驱动因素占30.9%。这些发现为了解中亚旱地荒漠化的驱动过程提供了关键的见解,突出了区域特定土地管理和生态保护战略的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Natural and anthropogenic contributions to desertification in Central Asia
Desertification is one of the most critical global environmental challenges, with significant ecological and socio-economic impacts. Understanding its dynamics and underlying drivers is crucial for developing effective prevention and control strategies. This study provides a comprehensive spatiotemporal analysis of desertification dynamics in the drylands of Central Asia (CA) from 1982 to 2020, employing the Desertification Difference Index (DDI). A non-linear Granger causality framework was utilized to quantify the relative contributions of natural and anthropogenic drivers to desertification across various land cover types. The trend analysis revealed that approximately 14.81% of the drylands in Central Asia experienced desertification during the study period. Pixel-wise fitted random forest Granger causality models identified Snow Water Equivalent (SWE) as a dominant factor influencing dryland changes in the region, particularly in cropland, grassland, shrubland, and bare land. In contrast, temperature emerged as the dominant driver of forest degradation. Overall, 69.1% of desertification in CA was attributed to natural drivers, while anthropogenic drivers accounted for 30.9%. These findings offer pivotal insights into the processes driving desertification in Central Asia’s drylands, highlighting the need for region-specific land management and ecological conservation strategies.
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:481959085
Book学术官方微信