基于Meta分析的毛乌素沙地荒漠化动态研究

doi:10.12118/j.issn.1000-6060.2024.116

干旱区地理 ›› 2024, Vol. 47 ›› Issue (12): 2051-2063.doi: 10.12118/j.issn.1000-6060.2024.116 cstr: 32274.14.ALG2024116

基于Meta分析的毛乌素沙地荒漠化动态研究

修晓敏¹^,²(), 吴波¹^,²^,³(), 费兵强¹^,², 殷婕¹^,², 张令光¹^,², 李佳¹^,², 庞营军¹^,², 贾晓红¹^,²

1.中国林业科学研究院生态保护与修复研究所，北京 100091
2.荒漠生态系统与全球变化国家林业和草原局重点实验室，北京 100091
3.三北工程研究院，北京 100091

收稿日期:2024-02-25 修回日期:2024-03-31 出版日期:2024-12-25 发布日期:2025-01-02
通讯作者: 吴波（1968-），男，研究员，主要从事景观生态学研究. E-mail: wubo@caf.ac.cn
作者简介:修晓敏（1993-），女，博士研究生，主要从事生态遥感研究. E-mail: xiuxiaomin@caf.ac.cn
基金资助:
内蒙古自治区科技重大专项(2024JBGS002002);国家重点研发计划(2023YFF1305304);科技兴蒙行动重点专项(KJXM-EEDS-2020006);国家自然科学基金项目(42371074)

A Meta-analysis of desertification dynamics in the Mu Us Sandy Land

XIU Xiaomin¹^,²(), WU Bo¹^,²^,³(), FEI Bingqiang¹^,², YIN Jie¹^,², ZHANG Lingguang¹^,², LI Jia¹^,², PANG Yingjun¹^,², JIA Xiaohong¹^,²

1. Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China
2. Key Laboratory of State Forestry and Grassland Administration on Desert Ecosystem and Global Change, Beijing 100091, China
3. Institute of Great Green Wall, Beijing 100091, China

Received:2024-02-25 Revised:2024-03-31 Published:2024-12-25 Online:2025-01-02

摘要/Abstract

摘要：

荒漠化是全球重要的生态环境问题，毛乌素沙地是我国荒漠化防治的重点区域。过去30 a来已有许多关于毛乌素沙地荒漠化动态的研究，但是缺乏对近70 a来毛乌素沙地荒漠化动态变化趋势的系统分析。采用Meta分析方法整合39个研究案例的研究结果，系统分析1950年代以来毛乌素沙地荒漠化动态变化趋势，并对驱动因素进行了讨论。结果表明：（1）近70 a来，毛乌素沙地轻度荒漠化面积占比呈现先减少后增加的趋势，中度荒漠化面积占比呈现略有增加的趋势，重度荒漠化面积占比呈现先增加后减少的趋势，荒漠化呈现明显的逆转趋势。（2）1980—1989年毛乌素沙地荒漠化轻微逆转，1990—1999年荒漠化有扩展趋势，2000—2009年荒漠化发生逆转，2010—2019年荒漠化持续稳定逆转，2000年是毛乌素沙地荒漠化发生逆转的重要时间节点。（3）连续的干旱对荒漠化扩展具有显著的促进作用，2000年以来持续的生态工程建设和“禁牧、休牧、轮牧和以草定畜”政策的实施是毛乌素沙地荒漠化持续逆转的主要原因。研究结果可以为系统认识毛乌素沙地荒漠化发展规律及制定荒漠化防治对策提供参考。

关键词: 荒漠化动态, Meta分析, 驱动因素, 生态工程, 毛乌素沙地

Abstract:

Desertification is a critical global ecological and environmental challenge. The Mu Us Sandy Land is a pivotal region for desertification control in China. Over the past three decades, numerous studies have examined desertification dynamics in this area; however, a systematic analysis of these dynamics over the past 70 years has been lacking. This study conducted a Meta-analysis of desertification dynamics by integrating the findings of 39 case studies on the Mu Us Sandy Land since the 1950s and discussed the factors influencing desertification. The results indicate the following: (1) Over the past 70 years, the proportion of light desertification areas initially decreased and then increased, the proportion of moderate desertification areas exhibited a slight increasing trend, and the proportion of severely desertified areas first increased and then decreased, reflecting a notable reversal of desertification trends in the Mu Us Sandy Land. (2) A slight reversal trend of desertification was observed from 1980 to 1989, desertification expanded from 1990 to 1999, the expansion trend was reversed from 2000 to 2009, and desertification continued to steadily reverse from 2010 to 2019. The year 2000 marked a significant turning point in the reversal of desertification in the Mu Us Sandy Land. (3) Continuous drought has significantly promoted desertification expansion. The sustained reversal of desertification since 2000 is attributed to extensive ecological engineering efforts and the implementation of policies such as “prohibition against grazing, closed grazing, rotational grazing, and limiting grazing animal numbers based on pasture availability”. These findings provide valuable insights for understanding the development patterns of desertification in the Mu Us Sandy Land and formulating effective desertification control strategies.

Key words: desertification dynamics, Meta-analysis, driver factors, ecological project, Mu Us Sandy Land

修晓敏, 吴波, 费兵强, 殷婕, 张令光, 李佳, 庞营军, 贾晓红. 基于Meta分析的毛乌素沙地荒漠化动态研究[J]. 干旱区地理, 2024, 47(12): 2051-2063.

XIU Xiaomin, WU Bo, FEI Bingqiang, YIN Jie, ZHANG Lingguang, LI Jia, PANG Yingjun, JIA Xiaohong. A Meta-analysis of desertification dynamics in the Mu Us Sandy Land[J]. Arid Land Geography, 2024, 47(12): 2051-2063.

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基于Meta分析的毛乌素沙地荒漠化动态研究

A Meta-analysis of desertification dynamics in the Mu Us Sandy Land

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