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Updated: Jan 15, 2026

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通过控制荒漠化促进可持续发展:使用RAGA-PP模型评估非洲大绿墙倡议

Qiang Wang¹, Kailai Zhang², Rongrong Li²

¹Laboratory for Asian Economic Studies, Saint Petersburg State University, Saint Petersburg, 199034, Russian Federation; School of Economics and Management, China University of Petroleum (East China), Qingdao, 266580, People's Republic of China.

Journal of environmental management

|January 13, 2026

概括

在非洲,控制荒漠化的努力取得了不同程度的成功. 塞内加尔和埃塞俄比亚等国家正在取得进展,而其他国家则面临挑战,强调需要针对性战略和全球合作,以实现土地退化中立.

科学领域:

环境科学环境科学
可持续发展可持续的发展
非洲研究是非洲研究.

背景情况:

荒漠化严重影响非洲干旱和半干旱地区实现可持续发展目标 (SDGs).
它阻碍了整个非洲大陆的减贫,环境恢复和气候弹性努力.
全非洲大绿墙倡议旨在打击土地退化.

研究的目的:

评估11个大绿墙倡议国家的荒漠化控制措施的有效性.
识别导致抗击荒漠化的成功和挑战的因素.
为决策者提供关于可持续土地管理的见解.

主要方法:

使用了一种新的实编码加速遗传算法与投影追求模型相结合.
该模型有效地分析了非正常,非线性和高维的经济,社会和环境数据.
进行了对2014年至2021年荒漠化控制趋势的时间分析.

主要成果:

塞内加尔,尼日利亚,布基纳法索和埃塞俄比亚在控制荒漠化方面取得了重大进展.
成功因素包括强有力的森林管理,政策支持和可持续的土地利用投资.
苏丹,厄立特里亚和毛里塔尼亚由于资源限制和机构能力缺口而面临着持续的挑战.

结论:

荒漠化控制趋势相对稳定,得到国际合作和技术的支持.
与可持续发展目标15.3 (土地退化中立) 保持一致对于未来的努力至关重要.
提供了可操作的见解,以加强生态系统的恢复和促进非洲的弹性生计.

关键词:

控制沙漠化的控制沙漠化.经济-社会-环境维度投影的追求投影的追求真实编码的加速遗传算法.

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