RESEARCH PAPER
Evaluating vegetation dynamics in the Yangtze river basin in relation to climatological parameters using remote sensing data from 2001 to 2022
1
Forestry and Garden, Longde County Forestry Grassland Development Center, Debang Road, Liupanshan Str., Longde County, Ningxia, 756300, China
2
Garden Engineering, Ningxia Zefeng Construction Engineering Co., LTD., Ningxia Longde County Scholar World, 756300, China
3
Department of Geography, Yazd University, Yazd 8915818411, Iran
4
Institute for Atmospheric Sciences, Weather and Climate and Department of Physics, University of Iceland and Icelandic Meteorological Office (IMO), Bustadavegur 7, IS-108 Reykjavik, Iceland
5
Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland
Final revision date: 2024-08-09
Acceptance date: 2024-08-13
Publication date: 2024-10-17
Corresponding author
Int. Agrophys. 2024, 38(4): 407-422
HIGHLIGHTS
- A downward trend in VegC for classes between 0.2 and 0.5
- An upward trend in denser vegetation (NDVI > 0.5) during the study period
- A general upward trend in VegC across all three basins from 2001 to 2022
KEYWORDS
normalized difference vegetation indexland surface temperatureprecipitationvegetation coverageYangtze river basinremote sensing
TOPICS
Statistics, GeostatisticsSoil-Plant RelationshipsAgricultural and Biosystems EngineeringCrop Photosynthesis and Water Use
ABSTRACT
This study investigates the dynamics of vegetation cover in the Yangtze river basin, separated into three sub-basins: upper basin, middle basin, and lower basin, concerning temperature and precipitation changes. The variations in the normalized difference vegetation index, precipitation, and temperature over 22 years (2001-2022) were analyzed annually, seasonally, and monthly using remote sensing data. The relationship between normalized difference vegetation index changes and precipitation and temperature was evaluated using Kendall’s correlation. The findings reveal a significant correlation between vegetation, surface temperature, and precipitation in the Yangtze river basin. Additionally, a significant (at p-value = 0.05) downward trend of vegetation coverage in the entire basin was observed for the classes between 0.2 and 0.5 (indicating poor and moderate vegetation). Conversely, a significant (at p-value = 0.05) upward trend in the area covered by denser vegetation (normalized difference vegetation index exceeding 0.5) was observed during the studied period in the Yangtze river basin. The largest vegetation coverage area was observed in middle basin, while the lowest values were seen in upper basin in 2008, middle basin in 2001, and lower basin in 2005. The highest vegetation coverage area in all three basins was recorded in 2021. In general, a significant (at p-value = 0.01) upward trend in vegetation coverage was observed in all three basins between 2001 and 2022. Finally, the results demonstrate that temperature exhibits a stronger correlation with increased vegetation cover in the Yangtze river basin, compared to precipitation.
CONFLICT OF INTEREST
The Authors do not declare any conflict of interest.
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