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林业科学 ›› 2025, Vol. 61 ›› Issue (11): 80-91.doi: 10.11707/j.1001-7488.LYKX20240439

• 研究论文 • 上一篇    下一篇

基于kNDVI的内蒙古自治区2004—2023年植被覆盖度时空变化及气候驱动因子

魏光普1,张文君1,2,3,朱治衡1,高雅娴1,2,3,于晓燕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:2024-07-15 修回日期:2025-09-09 出版日期:2025-11-25 发布日期:2025-12-11
  • 通讯作者: 于晓燕 E-mail:Yu_xiaoyan@imust.edu.cn
  • 基金资助:
    内蒙古自治区一流学科科研专项基金项目(YLXKZX-NKD-025);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);内蒙古自然科学基金项目(2025SHZR2380)。

Spatiotemporal Variation of Vegetation Coverage and Climate Driving Factors in Inner Mongolia from 2004 to 2023 Based on kNDVI

Guangpu Wei1,Wenjun Zhang1,2,3,Zhiheng Zhu1,Yaxian Gao1,2,3,Xiaoyan Yu1,2,3,*()   

  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, Inner Mongolia University of Science and Technology Baotou 014010
  • Received:2024-07-15 Revised:2025-09-09 Online:2025-11-25 Published:2025-12-11
  • Contact: Xiaoyan Yu E-mail:Yu_xiaoyan@imust.edu.cn

摘要:

目的: 通过长时序植被数据集探究内蒙古自治区植被覆盖度的时空变化及气候驱动因子,为当地植被生长遥感监测提供技术支持,为区域生态管理与决策提供科学依据。方法: 基于Google Earth Engine(GEE)平台,选取MOD13Q1 V6.1数据,构建新的核归一化植被指数(kNDVI)数据集,对2004—2023年内蒙古自治区植被覆盖度的时空变化及气候驱动因子进行分析;利用Theil-Sen中值趋势分析、Mann-Kendall检验和Hurst指数,揭示植被覆盖度的时空变化特征和未来发展趋势;采用偏相关和复相关分析量化kNDVI对温度、降水的响应强度,并结合像元尺度归因模型区分气候与非气候的相对贡献。结果: 1) 内蒙古自治区植被覆盖度的时空变化呈东北部高、西部低的格局,2004—2023年kNDVI植被覆盖度中值在0.089~0.133之间波动,均值在0.118~0.144之间波动,基本呈稳定趋势。2) 近20年间内蒙古自治区35.36%的区域植被覆盖度显著改善,49.95%的区域植被覆盖度保持不变,14.69%的植被覆盖度出现退化;70.96%的植被覆盖度表现出“不可预测的未来趋势”,29.04%的植被覆盖度表现出“可持续性”。3) 植被对气候因子的响应较强,对降水的响应强于温度;在0.05置信水平下,65.09%的植被覆盖度由非气候因子驱动,34.91%的植被覆盖度由气候因子驱动。结论: 内蒙古自治区植被覆盖度的空间异质性明显,非气候因子对植被覆盖度变化起主导作用,主要分布在呼伦贝尔大部、兴安盟大部、乌兰察布大部、包头、呼和浩特、巴彦淖尔、乌海、阿拉善大部等地区;受气候因子驱动的植被覆盖度主要分布在呼伦贝尔西部、兴安盟西部、锡林郭勒、乌兰察布中部、呼和浩特北部、阿拉善东部。

关键词: 核归一化植被指数(kNDVI), 植被覆盖度, 时空变化, 驱动因子, 内蒙古

Abstract:

Objective: This study investigated the spatiotemporal changes of vegetation coverage and the driving factors in Inner Mongolia using a long-term vegetation dataset, aiming to provide technical support for restoration and improvement of local ecosystems. Method: Based on the Google Earth Engine (GEE) platform MOD13Q1 V6.1 data, a new kernel normalized difference vegetation index (kNDVI) dataset was constructed for analyzing the spatiotemporal changes of vegetation coverage and its climate driving factors in Inner Mongolia from 2004 to 2023. Theil-Sen median trend analysis, Mann-Kendall test, and Hurst index were used to investigate the spatiotemporal variation characteristics and future development trends of vegetation coverage. The partial correlation analysis and complex correlation analysis were used to quantify the response intensity of kNDVI to temperature and precipitation, and combination with pixel scale attribution models was used to differentiate the relative contributions of the climate and non climate factors. Result: 1) The vegetation coverage in Inner Mongolia shows a pattern of high in the northeast and low in the west. From 2004 to 2023, the median vegetation coverage of kNDVI fluctuated between 0.089?0.130, and the mean fluctuated between 0.118?0.144, showing a stable trend. 2) In the past 20 years, 35.36% of the regional vegetation coverage in Inner Mongolia has improved, 49.95% of the regional vegetation coverage remains unchanged, and 14.69% of the vegetation coverage has degraded. In addition, 70.96% of vegetation coverage shows “unpredictable future trends”, and 29.04% of vegetation coverage shows “sustainability”. 3) Vegetation has a strong response to climate factors, with a stronger response to precipitation than temperature. At a confidence level of 0.05, 65.09% of vegetation coverage is driven by non-climatic factors, and 34.91% of vegetation coverage is driven by climate factors. Conclusion: There is obvious spatial heterogeneity in vegetation coverage in Inner Mongolia, and non-climatic factors play a dominant role in the changes of vegetation coverage, mainly distributed in most parts of Hulunbuir, Xing’an League, Ulanqab, Baotou, Hohhot, Bayannur, Wuhai, and Alxa. The change of vegetation coverage driven by climate factors is mainly occurred in the western part of Hulunbuir, the western part of Xing’an League, Xilingol, the central part of Ulanqab, the northern part of Hohhot, and the eastern part of Alxa.

Key words: kernel normalized difference vegetation index (kNDVI), vegetation coverage, spatial-temporal change, driving factors, Inner Mongolia

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