干旱区研究

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2025 , Vol. 42 >Issue 5: 922 - 932

DOI: https://doi.org/10.13866/j.azr.2025.05.14

生态与环境

2001—2023年新疆NDVI时空格局与驱动力分析

  • 陈珍 ,
  • 蔡朝朝 ,
  • 马楠 ,
  • 戴硕 ,
  • 王震鲁
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  • 1.新疆农业大学计算机与信息工程学院， 新疆 乌鲁木齐 830052
    2.新疆农业信息化工程技术研究中心， 新疆 乌鲁木齐 830052
陈珍（1999-），女，硕士研究生，主要从事农业信息化等方面的研究. E-mail: 13075460847@163.com
蔡朝朝. E-mail: czz@xjau.edu.cn

收稿日期: 2024-11-30

  修回日期: 2025-04-02

  网络出版日期: 2025-10-22

基金资助

新疆维吾尔自治区自然科学基金面上项目(2022D01A81)

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Spatial-temporal pattern and driving force analysis of NDVI in Xinjiang from 2001 to 2023

  • CHEN Zhen ,
  • CAI Zhaozhao ,
  • MA Nan ,
  • DAI Shuo ,
  • WANG Zhenlu
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  • 1. College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
    2. Xinjiang Agricultural Informatization Engineering Technology Research Center, Urumqi 830052, Xinjiang, China

Received date: 2024-11-30

  Revised date: 2025-04-02

  Online published: 2025-10-22

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摘要

基于2001—2023年归一化植被指数（Normalized Difference Vegetation Index，NDVI）探究新疆NDVI时空变化趋势，并利用最优参数地理探测器对NDVI驱动因子进行探究。结果表明：（1） 2001—2023年新疆NDVI年均值较低，为0.087~0.106，整体呈现波动上升趋势，植被覆盖有所改善，微显著及以上增加区域占比52.12%。（2） 空间分布上，NDVI存在明显异质性，呈“西北高、东南低”的特征。NDVI整体较稳定，弱变异区域占比60.64%，主要分布在盆地区域。植被未来变化趋势中，由改善到退化的区域占比达到58.24%，表明新疆未来整体植被覆盖可能呈现负向发展趋势。（3） NDVI主要受植被类型、土地利用类型和土壤类型的影响，是新疆植被变化的主要驱动因子。双因子交互作用下，植被类型和土壤类型交互解释后q值最高，而帕默尔干旱指数（Palmer Drought Severity Index，PDSI）和辐射共同作用下对NDVI影响程度最小。

关键词： NDVI; 最优参数; 地理探测器; 驱动因子; 新疆

本文引用格式

陈珍 , 蔡朝朝 , 马楠 , 戴硕 , 王震鲁 . 2001—2023年新疆NDVI时空格局与驱动力分析[J]. 干旱区研究, 2025 , 42(5) : 922 -932 . DOI: 10.13866/j.azr.2025.05.14

Abstract

Based on the Normalized Difference Vegetation Index (NDVI) from 2001 to 2023, the temporal and spatial variation trend of NDVI in Xinjiang, China was explored, and the NDVI driving factors were explored by using the optimal parameter geodetector. The results showed that: (1) From 2001 to 2023, the annual average NDVI in Xinjiang was relatively low, ranging from 0.087 to 0.106. The overall trend showed a fluctuating upward trend, and the vegetation coverage improved. The area with slightly significant or above increased accounted for 52.12%. (2) In terms of spatial distribution, NDVI has obvious heterogeneity, which is characterized by ‘high in northwest and low in southeast’. NDVI is relatively stable as a whole, and the weak variation area accounts for 60.64%, mainly distributed in the basin area. In the future trend of vegetation change, the area from improvement to degradation accounted for 58.24%, indicating that the overall vegetation cover in Xinjiang may show a negative trend in the future. (3) NDVI is mainly affected by vegetation type, land use type and soil type which are the main driving factors of vegetation change in Xinjiang. Under the two-factor interaction, the q value was the highest after the interaction of vegetation type and soil type, while the Palmer Drought Severity Index (PDSI) and radiation had the least impact on NDVI.

Key words： NDVI; optimal parameter; geographic detector; driving factors; Xinjiang

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