Journal of Arid Meteorology ›› 2024, Vol. 42 ›› Issue (6): 944-952.DOI: 10.11755/j.issn.1006-7639-2024-06-0944

• Articles • Previous Articles     Next Articles

Characteristics of vegetation cover change and its relationship with climate factors in Ganzi Prefecture

WANG Min1(), SUN Shujun1(), ZHANG Jian1, LI Tianfang1, CHEN Rui1, YANG Xing2, XIAO Yawen1   

  1. 1. Ganzi Meteorological Office,Kangding 626000, Sichuan, China
    2. Sichuan Earthquake Administration,Chengdu 610000, China
  • Received:2023-07-03 Revised:2024-01-19 Online:2024-12-31 Published:2025-01-15

甘孜州植被覆盖度演变特征及其与气候因子的相关性研究

王敏1(), 孙树峻1(), 张健1, 李天方1, 陈锐1, 杨星2, 肖雅文1   

  1. 1.四川省甘孜州气象局,四川 康定 626000
    2.四川省地震局,四川 成都 610000
  • 通讯作者: 孙树峻(1968—),男,研究方向为综合气象。E-mail:417452873@qq.com
  • 作者简介:王敏(1973—),女,正高级工程师,研究方向为天气预报预测。E-mail:438713038@qq.com
  • 基金资助:
    卫星遥感生态气象业务研究团队项目(GZCX2024-01)

Abstract:

It is of great significance to study the change of vegetation cover and the influence of climate factors in Ganzi Prefecture for ecological protection and development. Based on MODIS (Moderate-resolution Imaging Spectroradiometer) -NDVI (Normalized Difference Vegetation Index) data during 2003-2022, trend analysis, Hurst index were used to analyze the changes in vegetation cover in Ganzi Prefecture over the past twenty years. Temperature and precipitation data which are significantly correlated with vegetation index were used to analyze the relationship between vegetation cover change and climate factors. The results indicated that NDVI in Ganzi Prefecture showed an overall upward trend during the study period, and the distribution of vegetation cover was correlated with altitude and watershed. In the past twenty years, the area of vegetation cover increasing accounted for 67.83% of the total area of Ganzi Prefecture, and 25.37% of the area may maintain the same evolution trend as the present in the future. There are regional differences in the spatial distribution of precipitation and temperature, and the precipitation fluctuates significantly in summer, which is related to the influence of Qinghai-Tibet High Pressure in summer. Compared with precipitation, the correlation between temperature and NDVI is more significant. The influence of precipitation and temperature can explain 70% of the regional vegetation cover change during the study period, and the contribution of temperature to vegetation cover change is higher than that of precipitation.

Key words: vegetation cover change, NDVI, climate factors, correlation analysis, Ganzi Prefecture

摘要:

研究甘孜州地区多年植被覆盖变化与气候因子的关系,可以增进对该区域生态环境发展和生态结构变化的了解,对甘孜州生态保护有重要意义。基于2003—2022年MODIS(Moderate-resolution Imaging Spectroradiometer)-NDVI(Normalized Difference Vegetation Index)数据,使用趋势分析、Hurst指数等分析甘孜州近20 a植被覆盖变化,利用与植被指数存在明显关联性的温度和降水数据,分析植被覆盖变化与气候因子的关系。结果表明,植被覆盖分布与海拔和流域存在一定关联,研究时段内甘孜州NDVI整体呈上升趋势。过去20 a,甘孜州植被覆盖上升区域约占其总面积的67.83%,且有25.37%的区域或将保持与当下相同的演化趋势。降水和温度的空间分布存在区域差异,降水在夏季有明显起伏变化,这与当地夏季受青藏高压影响存在一定联系;降水和温度影响可解释研究时段内区域植被覆盖变化的70%,且温度对植被覆盖变化的贡献高于降水。

关键词: 植被覆盖度, NDVI, 气候因子, 相关性分析, 甘孜州

CLC Number: