Multi-Criteria Plant Clustering for Carbon-Centric Urban Forestry: Enhancing Sequestration Potential Through Adaptive Species Selection in the Zhengzhou Metropolitan Area, China

Forests, Journal Year: 2025, Volume and Issue: 16(3), P. 536 - 536

Published: March 19, 2025

As global climate change and urban issues worsen, increasing carbon offsets is crucial, with plants playing a key role. However, research on assessing plant sequestration (CSE) capacity at the regional scale, selecting plants, optimizing CSE capacity-based scenarios still limited. A total of 272 species were surveyed in nine cities Zhengzhou Metropolitan Area (ZMA). The i-Tree biomass models estimated average storage (CS) density 9.32 kg C m−2 0.55 y−2 ZMA. highest CS (13.58 m−2) was observed Pingdingshan, while lowest (0.36 y−1 Xuchang. Hierarchical cluster analyses identified balanced capacity, adaptability, ornamental value, such as Populus tomentosa Carr. Salix babylonica L., well shrubs like Abelia biflora Turcz Kerria japonica (L.) DC. Vegetation regeneration modeling indicated that could increase by 37%–41% along roads, 28%–43% amenity areas, 17%–30% near waterfronts over next 50 years. These findings serve reference for planning aimed enhancing reduction potential green spaces (UGS).

Language: Английский

Influence of 2-D/3-D Urban Morphology on Diurnal Land Surface Temperature From the Perspective of Functional Zones

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 17036 - 17051

Published: Jan. 1, 2024

Language: Английский

Seasonal and Diurnal Characteristics and Drivers of Urban Heat Island Based on Optimal Parameters-Based Geo-Detector Model in Xinjiang, China

Atmosphere, Journal Year: 2024, Volume and Issue: 15(11), P. 1377 - 1377

Published: Nov. 15, 2024

In the context of sustainable urban development, elucidating heat island (UHI) dynamics in arid regions is crucial. By thoroughly examining characteristics UHI variations and potential driving factors, cities can implement effective strategies to reduce their impacts on environment public health. However, factors a remain unclear. This study analyzed seasonal diurnal surface (SUHI) using Pearson’s correlation analysis an Optimal Parameters-Based Geographic Detector (OPGD) model 22 Xinjiang, northwest China. The findings reveal that average annual intensity (SUHII) values Xinjiang’s were 1.37 ± 0.86 °C, with SUHII being most pronounced summer (2.44 °C), followed by winter (2.15 spring (0.47 autumn (0.40 °C). Moreover, mean was stronger at nighttime (1.90 °C) compared during daytime (0.84 observed across seasons. disparity Xinjiang more significant (3.91 (0.39 SUHIIs decreasing from winter. also highlights city size, elevation, vegetation cover, form, socio-economic (GDP population density) emerged as key drivers, GDP exerting strongest influence Xinjiang. To mitigate effects, measures like enhancement improving conditions, blue–green space landscape optimization, economic strategy adjustments are recommended.

Language: Английский