NDVI-Based Vegetation Dynamics and Their Responses to Climate Change and Human Activities from 2000 to 2020 in Miaoling Karst Mountain Area, SW China

Yangyang Wu, Jinli Yang, Siliang Li, Chunzi Guo, Xiaodong Yang, Yue Xu, Fujun Yue, Haijun Peng, Yinchuan Chen, Lei Gu, Zhenghua Shi and Guangjie Luo ()
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Yangyang Wu: School of Geography and Resources, Guizhou Education University, Guiyang 550018, China
Jinli Yang: College of Ecology and Environment, Xinjiang University, Urumqi 830017, China
Siliang Li: School of Earth System Science, Tianjin University, Tianjin 300072, China
Chunzi Guo: School of Earth System Science, Tianjin University, Tianjin 300072, China
Xiaodong Yang: College of Ecology and Environment, Xinjiang University, Urumqi 830017, China
Yue Xu: State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
Fujun Yue: School of Earth System Science, Tianjin University, Tianjin 300072, China
Haijun Peng: State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
Yinchuan Chen: Shanghai Ecology and Environment Scientific Research Center, Yangtze River Basin Ecological Environment Supervision and Administration Bureau, Ministry of Ecology and Environment of People’s Republic of China, Shanghai 200120, China
Lei Gu: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
Zhenghua Shi: College of Ecology and Environment, Xinjiang University, Urumqi 830017, China
Guangjie Luo: School of Geography and Resources, Guizhou Education University, Guiyang 550018, China

Land, 2023, vol. 12, issue 7, 1-24

Abstract: Understanding spatiotemporal shifts in vegetation and their climatic and anthropogenic regulatory factors can offer a crucial theoretical basis for environmental conservation and restoration. In this article, the normalized difference vegetation index (NDVI) of the Miaoling area from 2000 to 2020 is studied using a trend analysis and the Mann–Kendall mutation test (MK test) to review the vegetation’s dynamic changes. Our study uses the Hurst index, a partial correlation analysis, and a geographic detector to investigate the contributions of climate change and human activities to regional vegetation changes and their drivers. We found that Miaoling’s annual average NDVI was between 0.66 and 0.83 in 2000–2020, with a mean of 0.766. The overall trend was slow upward (0.0009/year), and 53.82% of the region continued to grow and gradually increased from west to east in the spatial domain, among which the karst regional NDVI distribution area and its growth rate were higher than those of non-karst sites. Based on correlations between climatic factors and NDVI, precipitation seasonality (coefficient of variation, CV) had the strongest correlation (positive correlation) with NDVI, while vapor pressure deficit (VPD) had a negative correlation with NDVI. In the interaction, human activities played a dominant role in the influence of NDVI on the vegetation of Miaoling. The night light index had the most explanatory power on the NDVI (q = 0.422), and the interaction between anthropogenic factors and other factors dominated its explanatory power. This study has academic and practical importance for the management, protection, and sustainable development of karst basins.

Keywords: vegetation dynamics; Miaoling; karst plateau; trend analysis; geographic detector (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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