兰州大学院士团队《Nature 子刊》:全球半干旱区植被变绿与恢复力下降

问AI · 全球半干旱区植被“假性健康”背后藏着哪些生态危机?
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全球半干旱区是陆地生态系统的重要组成部分,对气候变化高度敏感。近年来,卫星观测表明陆地植被普遍呈现变绿趋势。然而,植被变绿是否意味着生态系统稳定性增强,以及植被受到扰动后的恢复能力是否增加,仍缺乏系统认识。

针对这一问题,兰州大学黄建平院士团队以全球半干旱区为研究对象,揭示了2001–2024年全球半干旱区存在变绿与恢复力下降并存的现象(图1)。进一步基于植被绿度趋势和恢复力趋势构建四象限分类框架,发现“变绿但恢复力下降”的区域面积占比高于“变绿且恢复力增强”的区域。该研究表明,变绿并不必然意味着植被韧性增强,仅依靠绿度指标可能低估半干旱区生态系统的潜在脆弱性。

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图1 全球半干旱区植被恢复力和变绿的总体趋势

研究发现,干旱化会放大热浪对植被恢复力下降的影响。降水趋势对热浪与植被恢复力的关系具有显著调节作用:在降水减少的干旱背景下,热浪峰值强度对植被恢复力下降的影响增强;而在相对湿润背景下,这一负面影响减弱(图2)。该发现凸显了在干旱区生态监测和恢复成效评估中引入植被恢复力指标的重要性。

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图2 干旱化放大热浪驱动的植被恢复力下降

相关研究成果以“Critical slowing down of semiarid vegetation resilience is amplified by intensifying heatwaves”为题,发表于Nature Communications期刊。论文第一作者为兰州大学生态学院萃英博士后富丽,通讯作者为兰州大学黄建平院士,生态学院邓建明教授为该研究提供了重要支持。该研究得到西部生态安全学科突破先导项目(JYB2025XDXM910)、国家自然科学基金(32225032)、中国博士后科学基金(2025M782643)等项目资助。

文献信息:

Fu, L., Huang, J., Li, C. et al. Critical slowing down of semiarid vegetation resilience is amplified by intensifying heatwaves. Nat Commun (2026). 

扩展阅读

Critical slowing down is commonly used as an early-warning signature of declining ecosystem resilience. While widespread greening has been documented, vegetation resilience in semiarid regions has received limited attention, and how climate extremes influence this association remains poorly understood. Here, we quantify vegetation resilience by estimating lag-1 temporal autocorrelation derived from complementary satellite vegetation metrics across global semiarid regions. We find that 56.6% of semiarid vegetated area shows increasing lag-1 temporal autocorrelation, and the spatial mean lag-1 temporal autocorrelation exhibits a sustained upward trend during 2001–2024, indicating declining resilience. Using a quadrant framework, 47.5% of vegetated area is classified as greening concurrent with declining resilience, exceeding the 33.8% showing greening with increasing resilience. Moreover, heatwaves intensified, and precipitation declined, with trend magnitudes and land-cover composition varying among greening–resilience quadrants. Spatial error models indicate that increases in maximum heatwave intensity are more strongly associated with declining resilience under drying trends, whereas this association weakens under wetting. Within-quadrant analyses further characterize conditional associations, consistent with greening–resilience decoupling under hot–dry intensification. Our findings suggest that greening can mask declining resilience, underscoring the need to integrate resilience diagnostics into routine greenness monitoring as climate extremes intensify.


Funding This work was supported by the Fundamental and Interdisciplinary Disciplines Breakthrough Plan of the Ministry of Education of China (JYB2025XDXM910 to J.H.), the National Natural Science Foundation of China (32225032 to J.D.), the National Key Research and Development Program of China (2023YFF0805602 to J.D.), the China Postdoctoral Science Foundation (2025M782643 to L.F.), the Lanzhou Special Fund for Talent Program awarded to J.H., and the 111 Project (B25040 to J.H.). Author information Authors and Affiliations State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China Li Fu & Jianming Deng Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China Li Fu, Jianping Huang, Changyu Li & Guolong Zhang Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, China Wenmin Wei, Ming Peng & Yu Ren Corresponding author Correspondence to Jianping Huang. Ethics declarations Competing interests The authors declare no competing interests. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary information Supplementary Information (download PDF ) Peer Review file (download PDF ) Reporting Summary (download PDF ) Rights and permissions Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.


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来源:兰州大学、网络报道

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