Study on Dynamic Monitoring and Influencing Factors of Carbon Sink Function in Typical Urban Green Space Ecosystems

This study focuses on typical urban green space ecosystems, conducts dynamic monitoring of their carbon sink functions by constructing a monitoring system, and deeply analyses the dynamic change characteristics and influencing factors of their carbon sink functions. The results show that the carbon sink functions of different green space types are significantly different and present specific change rules over time. Climate, vegetation, human factors and other factors have complex impacts on the carbon sink function of green spaces. This study provides a theoretical basis for urban green space planning and management and improving the carbon sink benefits of urban green spaces.

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Publication Details

Journal
Journal of Technology Innovation and Engineering
Published
2025-09-19
DOI
https://doi.org/10.63887/jtie.2025.1.3.16
Primary Topic
Remote Sensing and Land Use
Type
article
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article

Study on Dynamic Monitoring and Influencing Factors of Carbon Sink Function in Typical Urban Green Space Ecosystems

Yifan Ren
Journal of Technology Innovation and Engineering
Remote Sensing and Land Use
article

Study on Dynamic Monitoring and Influencing Factors of Carbon Sink Function in Typical Urban Green Space Ecosystems

Yifan Ren
article en

Abstract

This study focuses on typical urban green space ecosystems, conducts dynamic monitoring of their carbon sink functions by constructing a monitoring system, and deeply analyses the dynamic change characteristics and influencing factors of their carbon sink functions. The results show that the carbon sink functions of different green space types are significantly different and present specific change rules over time. Climate, vegetation, human factors and other factors have complex impacts on the carbon sink function of green spaces. This study provides a theoretical basis for urban green space planning and management and improving the carbon sink benefits of urban green spaces.

Journal of Technology Innovation and EngineeringVol. 1(3)
University of Manchester (GB)
Openalex Percentile: Top 70%
Remote Sensing and Land Use
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