Spatiotemporal patterns, sustainability, and primary drivers of NDVI-derived vegetation dynamics (2003-2022) in Nepal.

Autor: Shrestha B; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, North, No. 20 A, Datun Road, Chaoyang District, Beijing, 100101, China.; University of Chinese Academy of Sciences, Beijing, 100049, China., Zhang L; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, North, No. 20 A, Datun Road, Chaoyang District, Beijing, 100101, China. zhanglf@radi.ac.cn.; University of Chinese Academy of Sciences, Beijing, 100049, China. zhanglf@radi.ac.cn., Shrestha S; Survey Department, Government of Nepal, Minbhawan, Nepal., Khadka N; University of Chinese Academy of Sciences, Beijing, 100049, China.; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China., Maharjan L; Progoo Research Institute, Tianjin Progoo Information Technology Co., Ltd., Tianjin, 300380, China.
Jazyk: angličtina
Zdroj: Environmental monitoring and assessment [Environ Monit Assess] 2024 Jun 11; Vol. 196 (7), pp. 607. Date of Electronic Publication: 2024 Jun 11.
DOI: 10.1007/s10661-024-12754-4
Abstrakt: Understanding the vegetation dynamics and their drivers in Nepal has significant scientific reference value for implementing sustainable ecological policies. This study provides a comprehensive analysis of the spatio-temporal variations in vegetation cover in Nepal from 2003 to 2022 using MODIS NDVI data and explores the effects of climatic factors and anthropogenic activities on vegetation. Mann-Kendall test was used to assess the significant trend in NDVI and was integrated with the Hurst exponent to predict future trends. The driving factors of NDVI dynamics were analyzed using Pearson's correlation, partial derivative, and residual analysis methods. The results indicate that over the last 20 years, Nepal has experienced an increasing trend in NDVI at 0.0013 year -1 , with 80% of the surface area (vegetation cover) showing an increasing vegetation trend (~ 28% with a significant increase in vegetation). Temperature influenced vegetation dynamics in the higher elevation areas, while precipitation and human interventions influenced the lower elevation areas. The Hurst exponent analysis predicts an improvement in the vegetation cover (greening) for a larger area compared to vegetation degradation (browning). A significantly increased area of NDVI residuals indicates a positive anthropogenic influence on vegetation cover. Anthropogenic activities have a higher relative contribution to NDVI variation followed by temperature and then precipitation. The results of residual trend and Hurst analysis in different regions of Nepal help identify degraded areas, both in the present and future. This information can assist relevant authorities in implementing appropriate policies for a sustainable ecological environment.
(© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
Databáze: MEDLINE
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