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生态学杂志 ›› 2026, Vol. 45 ›› Issue (9): 3022-3030.doi: 10.13292/j.1000-4890.202609.014

• 研究报告 • 上一篇    下一篇

青藏高原东部植被恢复的多维驱动机制

李洁1,2,马丰魁3,黄钰瑶1,刘欣妤1,2,姜群鸥1,2*   

  1. (1北京林业大学水土保持学院, 北京100083; 2北京林业大学水土保持与荒漠化防治教育部重点实验室, 北京 100083; 3临夏市自然资源局, 甘肃临夏 731100)

  • 出版日期:2026-09-10 发布日期:2026-09-08

Multidimensional driving mechanisms of vegetation restoration in the eastern Tibetan Plateau.

LI Jie1,2, MA Fengkui3, HUANG Yuyao1, LIU Xinyu1,2, JIANG Qunou1,2*   

  1. (1College of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; 2Key Laboratory of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; 3Linxia Natural Resources Bureau, Linxia 731100, Gansu, China).

  • Online:2026-09-10 Published:2026-09-08

摘要: 针对青藏高原东部不同生态恢复模式,采用地理探测器和结构方程模型,分析了研究区植被恢复效益,揭示了自然要素和社会经济要素对植被恢复的多维驱动机制。结果表明:青藏高原东部2001—2019年植被恢复效益呈现显著时空异质性。自然恢复模式下植被恢复效益逐渐增加,而人工恢复模式下植被效益在不同时间段受气候和人类活动影响呈现不同趋势,综合恢复模式在甘肃中部和甘南地区梯度差异明显,植被整体呈现恢复趋势。气温是青藏高原东部植被恢复过程中最重要的驱动因子(q=0.36),而坡度(q=0.09)影响较小;其驱动机制以非线性增强的交互作用为核心,其次是双因子增强。社会经济要素对植被恢复的促进效应随发展进程持续增强。此外,人口压力对农业经济的抑制作用呈总体衰减趋势,而对非农经济的影响呈“先增强后减弱”的阶段性特征;农业经济与非农经济的交互关系则从2001—2015年的负向抑制转变为2005—2019年的正向协同,表明产业结构优化可显著提升生态恢复效能。本研究深化了全球变化下脆弱生态系统响应理论,为脆弱生态系统治理、生态补偿机制优化提供实践参考。


关键词: 青藏高原东部, 净初级生产力, 植被恢复, 多维驱动机制

Abstract: Focusing on different ecological restoration models in the ecological transition zone on the eastern edge of the Qinghai-Tibet Plateau, we used the geographic detector and structural equation model to analyze the vegetation restoration effectiveness and reveal the multidimensional driving mechanisms of natural and socio-economic factors on vegetation restoration. The results showed that the effectiveness of vegetation restoration exhibited significant spatiotemporal heterogeneity from 2001 to 2019. Under the natural restoration model, the effectiveness of vegetation restoration gradually increased, while under the artificial restoration model, the effectiveness showed different trends in different time periods due to the influence of climate and human activities. The comprehensive restoration model performed significant differences between the central part of Gansu and the Gannan region, while vegetation generally showed a recovery trend. Temperature was the most important driving factor for vegetation recovery (q=0.36), while slope (q=0.09) had a minor effect. The driving mechanism was mainly characterized by nonlinear enhanced interaction, followed by double-factor enhancement. The promoting effect of socio-economic factors on vegetation restoration had continuously strengthened. In addition, the inhibitory effect of population pressure on the agricultural economy showed an overall decreasing trend, while the impact on the non-agricultural economy showed a phased characteristic of “first enhancement and then weakening”. The interaction between the agricultural economy and the non-agricultural economy shifted from mutual constraint during 2001-2015 to positive synergy during 2005-2019, indicating that the optimization of the industrial structure can significantly improve the efficiency of ecological restoration. This study deepens our understanding on the responses of fragile ecosystems to global change, providing practical references for the governance of fragile ecosystems and the optimization of ecological compensation mechanisms.


Key words: eastern Tibetan Plateau, net primary productivity, vegetation restoration, multidimensional driving mechanism