Ecological response of green spaces to land use change in the Mu Us Desert-Loess Plateau transition zone, China, since the twenty-first century

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Xuegang Gong, Yunzhi Zhang, Jing Ren, Yahui Chen, Keifeng Wang, Runliang He
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引用次数: 0

Abstract

The Mu Us Desert-Loess Plateau transition zone in China, a fragile ecosystem prone to desertification, has undergone substantial ecological restoration since the early twenty-first century. This study utilized land use/cover data from 2000 to 2023 to assess the ecological response of green spaces to these efforts. A comprehensive set of ecological indices—including the green ecosystem index (GEI), equivalent ecological quality (EEQ) index, and green ecological contribution (GEC) rate—was used to quantify changes in green space extent and ecosystem quality. The study results showed a 5.83% increase in green space area, corresponding to an addition of 1979.7 km2, along with a notable rise in the GEI across 20.18% of the region, reflecting improved ecosystem function and resilience. The conversion of barren into productive green spaces has mitigated land degradation and supported ecological recovery. The EEQ of regional green spaces improved by 1.16%, and the GEC from land use changes was 1.15%. However, challenges remain, including the degradation of 3114.5 km2 of high-quality green spaces and the encroachment of 428.2 km2 by non-green land uses. Ongoing monitoring, targeted interventions, and adaptive management strategies are essential for further improving land greening and ecological quality. This study provides valuable insights for sustainable land management and ecological restoration in similar fragile environments.

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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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