ORIGINAL RESEARCH
Spatiotemporal Variation of Vegetation NDVI and Its Climatic Driving Forces in Global Land Surface
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Ya Cao 1
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1
College of Life Sciences and Technology, Inner Mongolia Normal University, Hohhot Inner Mongolia 010022, China
 
2
Key Laboratory of Biodiversity conservation and Sustainable utilization at Universities of Inner Mongolia Autonomous Region, Hohhot Inner Mongolia 010022, China
 
3
Center for Ecological Research, Northeast Forestry University, Harbin Heilongjiang 150040, China
 
 
Submission date: 2021-11-18
 
 
Final revision date: 2022-02-28
 
 
Acceptance date: 2022-03-07
 
 
Online publication date: 2022-05-20
 
 
Publication date: 2022-07-12
 
 
Corresponding author
Jinting Guo   

College of Life Science and Technology, Inner Mongolia Normal University, zhaowudalu road, 010022, Huhhot, China
 
 
Pol. J. Environ. Stud. 2022;31(4):3541-3549
 
KEYWORDS
TOPICS
ABSTRACT
Variations in the Normalized Difference Vegetation Index (NDVI) reflect the global land surface vegetation coverage, which is important for the analysis of the ecological environment. In this study, the spatiotemporal variation in global land surface vegetation NDVI and its climatic driving factors were analyzed for the period 1982-2014, using the GIMMS NDVI3g data set. The results show that the NDVI of global land surface vegetation was increasing during the study period. Although the NDVI of most areas in the southern hemisphere is generally higher than that of most areas in the northern hemisphere, the increase in NDVI in the northern hemisphere is higher than that in the southern hemisphere. Temperature and precipitation have different effects on NDVI at different spatiotemporal scales. Temperature is the driving factor for NDVI variation in most parts of the northern hemisphere, whereas precipitation is the driving factor for NDVI variation in the southern hemisphere.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 
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eISSN:2083-5906
ISSN:1230-1485
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