Influence of Tree Community Characteristics on Carbon Sinks in Urban Parks: A Case Study of Xinyang, China

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 653 - 653

Published: March 19, 2025

Cities are major contributors to global carbon emissions; however, urban parks offer substantial potential for sinks. Research on factors influencing capture in park vegetation is still limited. This study investigates 81 Xinyang, Henan Province, quantify woody plant storage (CS) and sequestration (CSG). By surveying all types quantities these parks, along with like attributes, community structure, biodiversity, spatial distribution, connectivity, complexity, we create statistical models CS CSG. The results indicate that the average density (CSD) Xinyang’s 4.01 kg/m2, while (CSGD) 0.39 kg·C·m2·yr−1. dominant tree species Ligustrum lucidum, Osmanthus fragrans, Lagerstroemia indica, higher potential, such as Glyptostrobus pensilis, Populus deltoides, Albizia kalkora, reveal a discrepancy between common high-sequestration species. shows characteristics, biodiversity key impacting sink capacity. analyzing relationship sinks vegetation, comprehensive framework assessing CSG, offering quantitative support improve parks.

Language: Английский

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Multi-scale Coupling Measurement and Driving Factor Analysis between Carbon Emission from Energy Consumption and Ecological Environment-The Case Study of Pearl River Delta Urban Agglomeration

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106425 - 106425

Published: May 1, 2025

Language: Английский

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Urban Morphology Influencing the Urban Heat Island in the High-Density City of Xi’an Based on the Local Climate Zone

Sustainability, Journal Year: 2024, Volume and Issue: 16(10), P. 3946 - 3946

Published: May 8, 2024

Urban form plays a critical role in enhancing urban climate resilience amidst the challenges of escalating global change and recurrent high-temperature heatwaves. Therefore, it is crucial to study correlation between spatial factors land surface temperature (LST). This utilized Landsat 8 remote sensing data estimate LST. Random forest nonlinear analysis was employed investigate interaction heat island (UHI) six morphological factors: building density (BD), floor area ratio (FAR), height (BH), fractional vegetation coverage (FVC), sky view factor (SVF), impervious fraction (ISF), within framework local zones (LCZs). Key findings revealed that Xi’an exhibited significant effect, with over 10% experiencing temperatures exceeding 40 °C. Notably, average LST building-class LCZs (1-6) 3.5 °C higher than cover-class (A-C). Specifically, compact (1-3) had an 3.02 open (4-6). FVC contributed most variation LST, while FAR least. ISF BD were found have positive impact on BH negative influence. Moreover, SVF observed positively influence classes (LCZ2-3) low-rise class (LCZ6). In mid-rise (LCZ5), showed U-shaped relationship. There inverted relationship inflection point occurring at 1.5. The results beneficial illustrating complex relationships its driving factors. study’s highlight effectiveness utilizing LCZ as detailed approach explore morphology islands. Recommendations for include strategies such increasing coverage, regulating heights, organizing buildings “L” or “I” shape, adopting “O” “C” configuration aid planners developing sustainable environments.

Language: Английский

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Exploring the Response of Ecosystem Services to Socioecological Factors in the Yangtze River Economic Belt, China

Land, Journal Year: 2024, Volume and Issue: 13(6), P. 728 - 728

Published: May 23, 2024

Understanding the response of mechanisms driving ecosystem services (ESs) to socioecological factors is imperative for regional sustainable management. However, previous studies ESs have focused more on degree and direction (positive negative) effects ES supply or supply–demand balance, while their nonlinear processes not been fully considered. In this study, a theoretical framework was developed through integrating land use/land cover data demand matrices with random forest models assess processes, including relative importance marginal effects, essential that drive demand, supply, balance. Using Yangtze River Economic Belt (YREB) as an example, our results indicated deficit regions (332 1070 counties 14.45% area) YREB were located mainly in three national urban agglomerations. Moreover, study natural environmental (such slope precipitation) significantly influence balance ESs, socioeconomic cropland ratios population density) profoundly ESs. most important drivers YREB. types identified study: logarithmic increase, decrease, volatility increase. Specific (e.g., proportion area, precipitation, density, slope) had significant threshold The turning points can be extracted from these should recommended restoration projects maintain

Language: Английский

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Impact of block morphology on urban thermal environment with the consideration of spatial heterogeneity

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105622 - 105622

Published: July 2, 2024

Language: Английский

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