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June 4, 2026Sustainability0 citationsOpen Access

Spatio-Temporal Evolution and Correlation Analysis of Water Yield and Carbon Storage in the Qinghai Lake Basin

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MCMingzhu CaoYHYanli HanZLZ H Liu

Key Points

  • To analyze the spatiotemporal patterns and correlations of water yield and carbon storage in the Qinghai Lake Basin from 1995 to 2020.
  • Integrated InVEST model, Optimal Parameter Geodetector model, and spatial autocorrelation analysis.
  • Analyzed data from 1995 to 2020.
  • Identified elevation, temperature, and precipitation as influencing factors of water yield.
  • Water yield increased from 1.42 × 10^9 m3 to 1.97 × 10^9 m3 over the study period.
  • Carbon storage rose from 1.76 × 10^8 t in 1995 to 2.14 × 10^8 t in 2020.
  • Significant positive spatial correlation found between water yield and carbon storage.

Abstract

The Qinghai Lake Basin represents a critical ecological security barrier in the northeastern Qinghai–Tibet Plateau. Water yield and carbon storage within this basin are closely linked to regional ecological security and sustainable development. To investigate their spatiotemporal patterns, influencing factors, and spatial interrelationships from 1995 to 2020, this study integrated the InVEST model, the Optimal Parameter Geodetector model, and spatial autocorrelation analysis. The results indicate that water yield exhibited a fluctuating yet generally increasing trend over the study period, rising from 1.42 × 109 m3 to 1.97 × 109 m3. High water yield values were predominantly concentrated in high-altitude headwater areas, whereas low values mainly occurred in the lake area and its surroundings. Elevation, annual mean temperature, and precipitation were identified as the primary drivers of water yield. Carbon storage increased from 1.76 × 108 t in 1995 to 2.14 × 108 t in 2020. High carbon storage values were mainly concentrated in grassland and forested areas, while low values were largely distributed in built-up land, unused land, and the lake area. Elevation, NDVI, and water yield emerged as the main influencing factors of carbon storage. A significant positive spatial correlation was observed between water yield and carbon storage. Persistent patterns of high-carbon-storage–high-water-yield clusters and low-carbon-storage–low-water-yield clusters demonstrate a clear spatial synergy. These findings provide scientific support for ecological conservation, water resource management, and carbon sink enhancement in the Qinghai Lake Basin and are of practical significance for sustaining regional ecosystem services and safeguarding sustainability.

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Cite This Study

Cao et al. (2026) studied this question.

synapsesocial.com/papers/6a2116fad499ed480b16fd25https://doi.org/10.3390/su18115569
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