Abstract

A systematic understanding of the spatio-temporal changes and driving factors in the Qinghai-Tibet Plateau holds significant scientific reference value for the future of ecological sustainable development. This paper utilizes MODIS normalized difference vegetation index (NDVI) and meteorological data to investigate the spatio-temporal changes and driving factors of vegetation coverage in the Qinghai-Tibet Plateau from 2001 to 2020. Methods employed include the dimidiate pixel model, trend analysis, partial correlation analysis, and residual analysis. The results demonstrate a generally fluctuating upward trend in vegetation coverage across the Tibetan Plateau over the past two decades, with spatial expansion occurring from northwest to southeast. Vegetation coverage exhibits a positive correlation with climate factors. Approximately 60.7% of the area showed a positive correlation between vegetation fractional cover (FVC) and precipitation, with 8.66% of the area demonstrating extremely significant (p < 0.05) and significant (p < 0.01) positive correlation. Human activities, on the whole, have contributed to the enhancement of vegetation cover in the Qinghai-Tibet Plateau. The areas where human activities have positively impacted vegetation cover are primarily situated in north-central Qinghai and north of Ngari, while areas experiencing degradation include certain grassland regions in central-eastern Yushu, Nagqu, and Lhasa.

Details

Title
Effects of hydrothermal factors and human activities on the vegetation coverage of the Qinghai-Tibet Plateau
Author
Guo, Jianxiao 1 ; Zhai, Liang 1 ; Sang, Huiyong 1 ; Cheng, Siyuan 2 ; Li, Hongwei 3 

 Chinese Academy of Surveying & Mapping, Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of MNR, Beijing, China (GRID:grid.464302.7) (ISNI:0000 0004 0405 5092) 
 Capital Normal University, College of Resource Environment and Tourism, Beijing, China (GRID:grid.253663.7) (ISNI:0000 0004 0368 505X) 
 CPC Central Party School (Chinese Academy of Governance), Beijing, China (GRID:grid.464227.1) (ISNI:0000 0004 0604 5373) 
Pages
12488
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2844437479
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.