Open Geosciences (Jun 2022)

Quantitatively determine the dominant driving factors of the spatial-temporal changes of vegetation-impacts of global change and human activity

  • Wang ShiJun,
  • Ping Chang,
  • Wang Ning,
  • Wen Jing,
  • Zhang Ke,
  • Yuan Kun,
  • Yang Jun

DOI
https://doi.org/10.1515/geo-2022-0374
Journal volume & issue
Vol. 14, no. 1
pp. 568 – 589

Abstract

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The differences in spatial-temporal distribution patterns and dominant driving factors of vegetation evolution among sub-regions during different historical periods were not clear. Therefore, this study introduced the gravity center model and geodetector to analyze the spatial-temporal change characteristics and dominant driving factors of normalized difference vegetation index (NDVI) in China during 1981–2019 from the perspective of geographic divisions. Results showed that (1) during 1981–2019, the average vegetation coverage in China showed an increasing trend and zones with obviously increasing vegetation NDVI were mainly distributed in the middle reaches of the Yellow River basin and the upper reaches of the Yangtze River. (2) During 1981–2019, the gravity center of national vegetation NDVI was mainly concentrated in Yan’an City and Tongchuan City, showing a southward migration trend as a whole, which indicates that the increment and growth rates of the southern part were greater than those of the northern part. (3) The growth of vegetation in southern China was primarily affected by the temperature, while that of northern China was largely influenced by precipitation. (4) During 1981–2019, the dominant interactive factors of vegetation change for all subregions changed greatly: natural factor (climate or terrain) ∩ other factors → landuse ∩ other factors.

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