Analysis of Dynamic Changes in Vegetation Net Primary Productivity and Its Driving Factors in the Two Regions North and South of the Hu Huanyong Line in China

Weimin Liu, Dengming Yan, Zhilei Yu (), Zening Wu, Huiliang Wang, Jie Yang, Simin Liu and Tianye Wang
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Weimin Liu: School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China
Dengming Yan: Yellow River Engineering Consulting Company Limited, Zhengzhou 450003, China
Zhilei Yu: School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China
Zening Wu: School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China
Huiliang Wang: School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China
Jie Yang: School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China
Simin Liu: China National Forestry-Grassland Development Research Center, Beijing 100714, China
Tianye Wang: School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China

Land, 2024, vol. 13, issue 6, 1-23

Abstract: Human activities and global environmental changes have transformed terrestrial ecosystems, notably increasing vegetation greenness in China. However, this greening is less effective across the Hu Huanyong Line (Hu Line). This study analyzes dynamic changes and driving factors of nine vegetation net primary productivities (NPPs) in regions divided by the Hu Line using remote sensing data, trend analysis, and the Geodetector model. Findings reveal that from 2001 to 2022, 38.22% of regional vegetation NPP in China increased, especially in the Loess Plateau, Sichuan Basin, and Northeast Plains, while 2.39% decreased, primarily in the southeastern region and southern Tibet. Grasslands contributed 39.71% to NPP north of the Hu Line, and cultivated vegetation contributed 50.58% south. The driving explanatory power of factors on vegetation NPP on the north side of the Hu Line is generally greater than that on the south side. Natural factors primarily drive NPP changes, with human activities having less impact. Combined factors, particularly climate and elevation, significantly enhance the driving explanatory power ( q , 0–1). The joint effects of elevation and precipitation on grassland NPP dynamics ( q = 0.602) are notable. GDP’s influence on broadleaf forests north of the Hu Line ( q = 0.404) is significant. Grasslands respond strongly to land use changes and population density, with a combined effect of q = 0.535. Shrubs, alpine vegetation, and meadows show minimal response to individual factors ( q < 0.2). These findings offer insights for devising ecological protection measures tailored to local conditions.

Keywords: NPP; explanatory power; Hu Line; Geodetector; trend analysis (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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