主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Journal of Meteorology and Environment ›› 2024, Vol. 40 ›› Issue (1): 71-78.doi: 10.3969/j.issn.1673-503X.2024.01.009

• Articles • Previous Articles     Next Articles

Spatio-temporal variation characteristics of NDVI in the three northeast provinces and their responses to climatic factors

Yong XIE1(),Shuang WANG1,Hengyang WANG2,Xu YANG3,Fulong ZHANG4,Ning WANG5,*(),Feng TAO6   

  1. 1. Jilin Emergency Warning Information Dissemination Center, Changchun 130062, China
    2. Changchun Institute of Optics, Fine Mechanics & Physics, Chinese Academy of Sciences, Changchun 130033, China
    3. Jilin Provincial Key Laboratory of Changbai Mountain Meteorology & Climate Change, Laboratory of Research for Middle-High Latitude Circulation Systems and East Asian Monsoon, Institute of Meteorological Sciences of Jilin Province, Changchun 130062, China
    4. Songyuan Meteorological Service, Songyuan 138000, China
    5. Jilin Meteorological Observatory, Changchun 130062, China
    6. School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130018, China
  • Received:2022-08-22 Online:2024-02-28 Published:2024-03-25
  • Contact: Ning WANG E-mail:87900158@qq.com;wangningwell@126.com

Abstract:

The northeast region of China is one of the most sensitive areas responsing to global climate change. Understanding the spatio-temporal variation of vegetation and its response to climatic factors is of great significance for the construction and evaluation of the ecological environment in the three northeast provinces, and also plays an important indicative role in the response to global climate change. Based on the MODIS Normalized Difference Vegetation Index (NDVI), the spatio-temporal evolution characteristics and the future change trends of NDVI in the three northeast provinces from 2000 to 2021 were investigated using the methods of Theil-Sen slope estimation, Mann-Kendall test, and Hurst index, and the response of NDVI to climatic factors was estimated with correlation analysis. The results show that from 2000 to 2021, the annual growth rate of NDVI is 0.003 per year, whereas from 2010 to 2021, NDVI is a highly significant increasing trend, with an annual growth rate of 0.006 per year. NDVIs in 86.93% of the area in the three northeast provinces is projected to increase in the future, indicating a positive trend in vegetation growth. In addition, correlation analysis shows that NDVI depends on climatic factors at a spatial scale. Specifically, temperature shows a better correlation with NDVI. In the most areas of the three northeast provinces, both temperature and precipitation contribute positively to NDVI change, and their contributions are comparable though spatial differences exist.

Key words: NDVI, Theil-Sen slope estimation, Hurst index

CLC Number: