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林业科学 ›› 2025, Vol. 61 ›› Issue (9): 48-58.doi: 10.11707/j.1001-7488.LYKX20230763

• 研究论文 • 上一篇    

内蒙古自治区植被恢复力时空格局及其对极端气候的响应

于晓燕1,2,3,高雅娴1,2,3,魏光普1,*(),张舒宇1,张文君1,2,3   

  1. 1. 内蒙古科技大学 包头 014010
    2. 黄河“几字弯”发展研究基地 包头 014010
    3. 内蒙古科技大学产业信息化与产业创新研究中心 包头 014010
  • 收稿日期:2024-12-05 出版日期:2025-09-25 发布日期:2025-10-10
  • 通讯作者: 魏光普 E-mail:Wei_Guangpu@imust.edu.cn
  • 基金资助:
    内蒙古自然科学基金项目(2025SHZR2380);内蒙古自治区高校人文社会科学重点研究基地基金项目(KFSM-KDSK0207);内蒙古自治区一流学科科研专项基金项目(YLXKZX-NKD-025);横向课题“包钢白云鄂博矿区多功能植物菌根袋新技术产业化中试研究技术服务”(NKDHX2024042);内蒙古自治区自然科学基金项目(2022LHMS07004)。

Spatio-temporal Pattern of Vegetation Resilience and Its Response to Extreme Climate in Inner Mongolia Autonomous Region

Xiaoyan Yu1,2,3,Yaxian Gao1,2,3,Guangpu Wei1,*(),Shuyu Zhang1,Wenjun Zhang1,2,3   

  1. 1. Inner Mongolia University of Science and Technology Baotou 014010
    2. Yellow River Jiziwan Development Research Institute Baotou 014010
    3. Research Center of Industrial Informationization and Innovation in Inner Mongolia University of Science and Technology Baotou 014010
  • Received:2024-12-05 Online:2025-09-25 Published:2025-10-10
  • Contact: Guangpu Wei E-mail:Wei_Guangpu@imust.edu.cn

摘要:

目的: 分析内蒙古自治区植被恢复力的时空变化以及极端气候对植被恢复力的影响,揭示在极端气候条件下植被恢复力变化的规律和机制。方法: 基于卫星(MOD 13 Q1 V6.1)构建的核归一化植被指数(kNDVI)数据集和早期预警指标,对内蒙古地区2004—2023年的植被覆盖度和植被恢复力进行评估;此外,基于美国国家环境信息中心(NCEI)的逐日气象数据,计算该地区的极端气温和极端降水等15个极端气候指数,在综合分析极端气候时空变化特征的基础上,运用皮尔逊相关分析和地理探测器,定量评估极端气候对植被恢复力的影响。结果: 1) 内蒙古自治区85.63%的区域植被覆盖度呈现上升的趋势,植被覆盖度呈现下降趋势的区域分布在大兴安岭林区和西部边缘荒漠区,约57.46%的区域植被恢复力呈现上升趋势,空间变化趋势呈现东部和大兴安岭南端草原区上升,大兴安岭林区、西部荒漠和荒漠草原区下降的格局。2) 2004—2023年极端暖指数呈现增加趋势,极端高温事件增多,极端强度和频率降水指数呈现增加趋势,极端降水事件在强度和频率上均有所增强。3) 极端气候指数与植被恢复力的相关关系表现出明显的空间异质性,TNx、TXx等强度指数与60%以上区域的植被恢复力呈现正相关,极端低温指数(TN10p、TX10p)在西部荒漠区以及大兴安岭林区多呈正相关。4) TN90p、TX90p对东部草原区恢复力提升贡献显著;RX5day、RX1day、R20mm、R10mm等极端降水指数在中部和东部地区均表现出显著的正相关,并且对植被恢复力的解释力较高,说明极端降水的强度和频率对内蒙古地区植被变化有较大影响。结论: 内蒙古自治区植被恢复力和极端气候空间异质性明显,影响植被恢复力的主要因素是极端降水事件,并且对极端降水强度的响应最为敏感。在未来植被保护与恢复的策略中,应优先关注生态系统的稳定性与可持续性,充分考虑不同生态区的气候特点与植被恢复潜力,更加关注水资源管理和极端气候变化。

关键词: kNDVI, 植被恢复力, 极端气候, 时空变化, 内蒙古

Abstract:

Objective: This study aims to analyze the temporal and spatial changes of vegetation resilience in Inner Mongolia Autonomous Region and the impacts of extreme climate on vegetation resilience, revealing the trend and mechanisms of changes in vegetation resilience under extreme climate conditions. Method: Vegetation coverage and vegetation resilience in Inner Mongolia from 2004 to 2023 were assessed with the constructed kernel normalized vegetation index (kNDVI) dataset based on the satellite (MOD 13 Q1 V6.1) and early warning indicators. In addition, based on the daily meteorological data from the U.S. National Centers for Environmental Information (NCEI), 15 extreme climate indices such as extreme temperature and extreme precipitation were calculated for the region. On the basis of a comprehensive analysis of the spatial and temporal characteristics of extreme climate, Pearson correlation analysis and geographical detectors were used to quantitatively assess the impacts of extreme climate on the vegetation resilience in Inner Mongolia. Result: 1) Approximately 85.63% of the areas in Inner Mongolia showed an increasing trend in vegetation coverage, while the vegetation coverage in the Daxinganling forest area and the western edge desert area had a decreasing trend. Approximately 57.46% of the areas in Inner Mongolia showed an increasing trend in vegetation resilience, and the spatial trend showed the pattern of increasing in the eastern and the grassland area at the southern end of the Daxinganling and decreasing in the Daxinganling forest area and the western desert and desert grassland area. 2) From 2004 to 2023, the extreme warmth index showed an increasing trend, with an increase in extreme high temperature events. The extreme intensity and frequency precipitation index showed an increasing trend, and extreme precipitation events were enhanced in intensity and frequency. 3) The correlation between extreme climate indices and vegetation resilience showed obvious spatial heterogeneity, intensity indices such as TNx and TXx showed a positive correlation with vegetation resilience in more than 60% of the region, and extreme low temperature indices (TN10p and TX10p) were mostly positively correlated with vegetation resilience in the western desert area and the Daxing'anling forest area. 4) TN90p and TX90p contributed significantly to resilience enhancement in the eastern steppe zone. The extreme precipitation indices, such as RX5day, RX1day, R20mm, and R10mm, showed significantly positive correlation with vegetation resilience in the central and eastern areas, and had a high explanatory power for vegetation resilience, indicating that the intensity and frequency of extreme precipitation had a greater influence on vegetation changes in Inner Mongolia. Conclusion: The spatial heterogeneity of vegetation resilience and climate extremes in the Inner Mongolia Autonomous Region is obvious, and the main factor affecting vegetation resilience is the extreme precipitation events and vegetation resilience is most sensitive to extreme precipitation intensity. Therefore, in future strategies for vegetation protection and restoration, priority should be given to the stability and sustainability of ecosystems, with full consideration of the climatic characteristics and vegetation restoration potential in different ecological zones, and more attention to water resource management and extreme climate change.

Key words: kNDVI (kernel normalized difference vegetation index), vegetation resilience, extreme climates, spatial-temporal change, Inner Mongolia

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