Monitoring desertification in Ordos City using integrated vegetation and soil indicators

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
Jinting Zhang, Lu Hu, Kui Yang
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Abstract

Desertification is a major environmental challenge in arid and semi-arid regions. This study examines the spatiotemporal evolution of desertification in Ordos City, China (2001–2020) using long-term remote sensing monitoring and the Geographical Detector Model (GDM). To improve classification accuracy, we developed a multi-indicator framework integrating Fractional Vegetation Cover (FVC), Modified Soil-Adjusted Vegetation Index (MSAVI), and Soil Organic Carbon (SOC). Results indicate an overall decline in desertification, with severely desertified land (SED) decreasing from 32.65 % in 2001 to 18.48 % in 2020, while moderately desertified land (MD) increased by 15.81 %. The most significant improvements occurred between 2015 and 2020, particularly in northwestern and central Ordos, including Hanggin Banner, Otog Banner, and Dalad Banner. Analysis of climate driving factors identified land surface temperature (LST) (q = 0.26), wind speed (WS) (q = 0.24), and precipitation (PRE) (q = 0.20) as the primary contributors, while topographic factors (elevation and slope) had minimal influence. LST and WS had the strongest impacts, positively correlating with desertification, whereas PRE exhibited a negative correlation. Interaction analysis revealed LST and WS had the most significant combined effect, followed by PRE and LST, while SLO and DEM interactions had the weakest influence. Those findings, combined with environmental policy analysis, provide a deeper understanding of desertification processes and highlight the need for continuous monitoring and targeted measures in vulnerable regions.
基于植被与土壤综合指标的鄂尔多斯市沙漠化监测
荒漠化是干旱和半干旱地区面临的主要环境挑战。利用长期遥感监测和地理探测器模型(GDM)研究了鄂尔多斯市2001-2020年沙漠化的时空演变特征。为了提高分类精度,我们建立了一个综合植被覆盖度(FVC)、改良土壤调整植被指数(MSAVI)和土壤有机碳(SOC)的多指标框架。结果表明,沙漠化总体呈下降趋势,其中重度沙化土地(SED)从2001年的32.65%下降到2020年的18.48%,中度沙化土地(MD)增加了15.81%。最显著的改善发生在2015年至2020年期间,特别是在鄂尔多斯西北部和中部,包括杭金旗、奥托格旗和达拉德旗。气候驱动因子分析发现,地表温度(LST) (q = 0.26)、风速(WS) (q = 0.24)和降水(PRE) (q = 0.20)是主要的影响因子,地形因子(高程和坡度)的影响最小。地表温度和WS与荒漠化呈显著正相关,而PRE与荒漠化呈显著负相关。交互作用分析显示,LST与WS的联合效应最显著,PRE与LST次之,而SLO与DEM的交互作用影响最弱。这些调查结果与环境政策分析相结合,使人们对沙漠化过程有了更深入的了解,并突出了在脆弱地区进行持续监测和采取有针对性措施的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Arid Environments
Journal of Arid Environments 环境科学-环境科学
CiteScore
5.70
自引率
3.70%
发文量
144
审稿时长
55 days
期刊介绍: The Journal of Arid Environments is an international journal publishing original scientific and technical research articles on physical, biological and cultural aspects of arid, semi-arid, and desert environments. As a forum of multi-disciplinary and interdisciplinary dialogue it addresses research on all aspects of arid environments and their past, present and future use.
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