Influence of Tree Community Characteristics on Carbon Sinks in Urban Parks: A Case Study of Xinyang, China
Cities are major contributors to global carbon emissions; however, urban parks offer substantial potential for carbon sinks. Research on factors influencing carbon capture in urban park vegetation is still limited. This study investigates 81 urban parks in Xinyang, Henan Province, to quantify woody...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
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| Series: | Land |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-445X/14/3/653 |
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| Summary: | Cities are major contributors to global carbon emissions; however, urban parks offer substantial potential for carbon sinks. Research on factors influencing carbon capture in urban park vegetation is still limited. This study investigates 81 urban parks in Xinyang, Henan Province, to quantify woody plant carbon storage (CS) and sequestration (CSG). By surveying all vegetation types and quantities in these parks, along with factors like park attributes, community structure, biodiversity, spatial distribution, woody plant connectivity, and spatial complexity, we create statistical models for CS and CSG. The results indicate that the average carbon storage density (CSD) in Xinyang’s urban parks is 4.01 kg/m<sup>2</sup>, while the carbon sequestration density (CSGD) is 0.39 kg·C·m<sup>2</sup>·yr<sup>−1</sup>. The dominant tree species are <i>Ligustrum lucidum</i>, <i>Osmanthus fragrans</i>, and <i>Lagerstroemia indica</i>, while species with higher carbon sequestration potential, such as <i>Glyptostrobus pensilis</i>, <i>Populus deltoides</i>, and <i>Albizia kalkora</i>, reveal a discrepancy between common and high-sequestration species. The study shows that park characteristics, community structure, and biodiversity are key factors impacting urban carbon sink capacity. By analyzing the relationship between these factors and carbon sinks in urban park vegetation, we create a comprehensive framework for assessing tree CS and CSG, offering quantitative support to improve carbon capture in urban parks. |
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| ISSN: | 2073-445X |