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August 7, 2026ForestsOpen Access

The Impact of Urban Green-Space Landscape Patterns on Carbon Storage: A Case Study of Shenyang, China

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Authors

TYTang YuYSYu ShiYBYingjie Bu

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Overview

Randomized trial examines the relationship between green-space patterns and carbon storage, suggesting implications for urban planning.

Key Points

  • This research aims to explore how urban green-space patterns influence carbon storage in Shenyang.
  • Used ArcGIS and remotely sensed imagery to map above-ground carbon storage
  • Employed Pearson correlation analysis, geographically weighted regression, and exploratory data-binning
  • Analyzed landscape pattern metrics and their associations with carbon storage
  • Above-ground carbon storage showed a strong correlation with class area (CA) and largest patch index, and weak correlations with patch density and landscape division index.
  • Identified low- and high-carbon-storage thresholds for CA and connectivity index were 7.26-10.79 and 8.33-12.08, respectively.
  • Higher CA and connectivity index values correlated with a lower likelihood of low-carbon-storage zones.

Cite This Study

Yu et al. (2026) studied this question.

synapsesocial.com/papers/6a758bc2847ab6d26c01f3dehttps://doi.org/10.3390/f17080917
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  1. 1Quantifying the Relationship Between Blue–Green Landscape Spatial Patterns and Carbon Storage: A Case Study of theZhengzhou Metropolitan Area2026
  2. 2Spatiotemporal drivers and multi-scenario simulation of carbon storage in Shenyang City by the PLUS–InVEST–GeoDetector model2026
  3. 3Key Factors Affecting Carbon-Saving Intensity and Efficiency Based on the Structure of Green Space2024 · 5 citations
  4. 4Study on Landscape Pattern Index Analysis and Driving Mechanism of Park Green Space: A Case Study of the Central Urban Area of Shenyang2026 · 3 citations
  5. 5A Machine Learning Approach to Relate Green Space Landscape Metrics to Net Primary Production Across Shanghai’s Built Environment2025