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Vegetation Change and Its Response to Climate Factors in the Middle Reaches of the Yarlung Zangbo River from 2010 to 2019: A Case Study of Lhasa-Linzhi Section of Sichuan-Tibet Railway TEXT SIZE: A A A
(Vol. 49, No.6, Tot No.344 2021)

ZHANG Han1, CHEN An2, LI Jingji2,3, PENG Peihao4, LIU Yanguo5

(1. College of Earth Science, Chengdu University of Technology, Chengdu 610059, China;
2. College of Environment and Ecology, Chengdu University of Technology, Chengdu 610059, China;
3. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China;
4. Institute of Ecological Resources and Landscape, Chengdu University of Technology, Chengdu 610059, China;
5. Southwest University of Science and Technology, Mianyang 621010, China)

Abstract:Based on the MOD13Q1/NDVI data from 2010 to 2019, trend analysis and correlation analysis methods were deployed to explore the law of temporal and spatial evolution of vegetation cover in the Lhasa-Linzhi Section of Sichuan-Tibet Railway under the background of climate change with the combination of the DEM data and 1: 1 million Chinese vegetation type map. The results showed that the NDVI value of the study area in the growing season from 2010 to 2019 fluctuated with an upward trend of 0.2%/10a. The high NDVI value was observed in the surrounding area while low value was found in the central part. The improved area of regional vegetation cover (65.66%) was higher than that of degradation area (34.34%). We also discussed the relationship between vegetation cover and climate factors. The vegetation cover was positively correlated with precipitation and negatively correlated with temperature in the same period. It was found that the vegetation growth is more sensitive to precipitation than temperature and the shrubs, grasslands, alpine vegetation, and a small number of coniferous forests in the western alluvial plain, Shannan wide valley, and Milin wide valley are more responsive to hydrothermal conditions.

Key words:NDVI; climatic factors; correlation analysis; Lhasa-Linzhi Section of Sichuan-Tibet Railway

EARTH AND ENVIRONMENT Vol.49, No.1, Tot No.344, 2021, Page 635-645

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