Spatiotemporal Evolution and Driving Mechanisms of Eco-Environmental Quality in a Typical Inland Lake Basin of the Northeastern Tibetan Plateau: A Case Study of the Qinghai Lake Basin

• Published in: Land
• Main Authors: Zhen Chen, Xiaohong Gao, Zhifeng Liu, Yaohang Sun, Kelong Chen
• Format: Article
• Language: English
• Published: MDPI AG 2025-09-01
• Subjects: Qinghai Lake Basin (QLB); Google Earth Engine (GEE); Remote Sensing Ecological Index (RSEI); spatiotemporal evolution; Geodetector (GD); agriculture and animal husbandry
• Online Access: https://www.mdpi.com/2073-445X/14/10/1955

The Qinghai Lake Basin (QLB), as a key component of the ecological security barrier on the Tibetan Plateau, is crucial for regional sustainable development due to the stability of its alpine agro-pastoral ecosystems. This study aims to systematically analyze the spatiotemporal evolution patterns and underlying driving mechanisms of eco-environmental quality (EEQ) in the QLB from 2001 to 2022. Based on Google Earth Engine (GEE) and long-term MODIS data, we constructed a Remote Sensing Ecological Index (RSEI) model to evaluate the EEQ dynamics. Geodetector (GD) was applied to quantitatively identify key driving factors and their interactions. The findings reveal: (1) The mean RSEI value increased from 0.46 in 2001 to 0.51 in 2022, showing a fluctuating improvement trend with significant transitions toward higher ecological quality grades; (2) spatially, a distinct “high-north-south, low-center” pattern emerged, with excellent-grade areas (4.77%) concentrated in alpine meadows and poor-grade areas (5.10%) mainly in bare rock regions; (3) 47.81% of the region experienced ecological improvement, whereas 16.34% showed degradation, predominantly above 3827 m elevation; and (4) GD analysis indicated natural factors dominated EEQ differentiation, with temperature (q = 0.340) and elevation (q = 0.332) being primary drivers. The interaction between temperature and precipitation (q = 0.593) exerted decisive control on ecological pattern evolution. This study provides an efficient monitoring framework and a spatially explicit governance paradigm for maintaining differentiated management and ecosystem stability in alpine agro-pastoral regions.