Bulletin of Surveying and Mapping ›› 2025, Vol. 0 ›› Issue (11): 91-98.doi: 10.13474/j.cnki.11-2246.2025.1114

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Spatio-temporal trends and driving mechanisms of vegetation NPP in Shaanxi province from 2000 to 2023

CHANG Dee, WEI Haixia, CHEN Liyan   

  1. Guangdong Polytechnic of Industry and Commerce, Guangzhou 510510, China
  • Received:2025-06-30 Published:2025-12-04

Abstract: Quantitatively analyzing the spatio-temporal variations and driving mechanisms of vegetation net primary productivity (NPP) in Shaanxi province based on long-term remote sensing data is crucial for assessing regional ecosystem stability and elucidating carbon cycle dynamics.Utilizing MODIS NPP products and multi-source data from 2000 to 2023,this study integrated Sen's trend analysis,the Hurst index,partial correlation analysis,residual analysis,and the geodetector method to analyze the spatio-temporal dynamics and driving factors of vegetation NPP in Shaanxi province at the pixel scale.NPP showed a significant increasing trend from 2000 to 2023,with a growth rate of 8.19 gC·m-2·a-1.The spatial distribution of NPP showed higher values in the south and lower values in the north; 97.63% of the area exhibited increasing trends.The Hurst index indicated that the improving trend would persist in 99.15% of the region.The spatial heterogeneity of precipitation and temperature impacts was significant (positive synergy in Northern Shaanxi,temperature dominance in Guanzhong/Southern Shaanxi). Human activities promoted vegetation restoration in 76.26%of the area.Evapotranspiration (ET),precipitation,and landform type are the dominant driving factors.Among their interactions,ET∩precipitation and ET ∩ landform exhibite the strongest explanatory power.The strong interaction effects of land use/population density ∩ ET (q>83%) and∩precipitation (q>74%) indicate that changes in vegetation NPP result from the deep coupling of natural and socioeconomic factors.

Key words: Hurst index, partial correlation analysis, Sen trend analysis, residual analysis, geodetector

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