Author(s)

Wang Ruoya ¹, He Zhuoling ²

Affiliation(s)

¹ School of Economics, Sichuan University, Chengdu, 610065, Sichuan, China
² School of Civil Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China

Corresponding Author

He Zhuoling

ABSTRACT

This paper takes the vegetation slope protection project along the Guiyang-Kunming Railway (Zhanyi-Kunming section) as the research object. Based on high-resolution remote sensing image data from 2008 to 2022, it quantitatively analyzes the spatiotemporal evolution of vegetation coverage on rock slopes following soil spray-seeding. The study finds that despite an extreme drought in 2011, the Normalized Difference Vegetation Index (NDVI) in the study area showed an overall trend of continuous improvement starting in 2013 and stabilized after 2016, indicating the significant effectiveness of the vegetation slope protection technology. Furthermore, by integrating economic growth data from the adjacent Zhanyi District, the research demonstrates a dynamic synergistic relationship between economic growth and ecological protection: the relationship between economic development and vegetation coverage is not simply positive or negative but is dynamic and complex. The average NDVI shows a weak correlation with the economic development of Zhanyi District, whereas the trend of NDVI change exhibits a strong correlation with it. Vegetation slope protection is not merely a technical measure but also a crucial investment in ecological capital. By constructing ecological security barriers, shaping linear green landscape corridors, and optimizing the living environment, it directly enhances the ecological asset value and attractiveness of the areas along the railway.

KEYWORDS

Vegetation slope protection; Guiyang-Kunming Railway; Remote sensing monitoring; NDVI; GDP of Zhanyi

CITE THIS PAPER

Wang Ruoya, He Zhuoling. Study on the Relationship between Economic Growth in Zhanyi District and Vegetation Slope Protection along the Guiyang-Kunming Railway. Environment, Resource and Ecology Journal (2026). Vol. 10, No.1, 1-8. DOI: http://dx.doi.org/10.23977/erej.2026.100101.

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