Publications

The Impact of Vegetation Canopy on the Outdoor Thermal Environment in Cold Winter and Spring

Published in Sustainability, 2023

The current study investigated the impact of vegetation canopy on the outdoor thermal environment in cold winter and spring, a less-explored aspect of its climate effects. Firstly, we conducted on-site observations of meteorology parameters on a campus in a hot summer and cold winter region. Then the ENVI-met microclimate simulation model was utilized to simulate the air temperature, relative humidity, wind speed and direction, and solar radiation of typical winter and spring days. Furthermore, the PET index was calculated to evaluate the thermal conditions. Our findings revealed that during the daytime, the vegetation canopy raised air temperature and relative humidity, reduced wind speed, and mitigated solar radiation. Solar radiation emerged as the primary factor affecting thermal comfort in the cold winter and spring. The presence of deciduous broad-leaved vegetation notably reduced cold discomfort and improved thermal comfort in the cold winter and spring. Finally, we propose replacing evergreen broad-leaved vegetation with deciduous broad-leaved vegetation in hot summer and cold winter regions to ensure year-round thermal comfort, especially in the cold winter and spring.

Recommended citation: Chen, H.; Liu, R.; Zhang, Y. The Impact of Vegetation Canopy on the Outdoor Thermal Environment in Cold Winter and Spring.Sustainability 2023,15,12818.https://doi.org/10.3390/su151712818. https://www.researchgate.net/publication/373383803_The_Impact_of_Vegetation_Canopy_on_the_Outdoor_Thermal_Environment_in_Cold_Winter_and_Spring

Mapping Ecosystem Service Supply–Demand Bundles for an Integrated Analysis of Tradeoffs in an Urban Agglomeration of China

Published in Land, 2022

The objective of this study was to map ES supply–demand bundles to comprehensively ana- lyze the ES tradeoffs in the Yangtze River Delta using cluster analysis, correlation analysis, hotspot analysis, and principal component analysis. We found that: (1) Both the supply and demand of ES are unevenly distributed with highly spatial autocorrelation. (2) There are significant tradeoffs and synergies between ES in terms of supply–supply, demand–demand, and supply–demand. (3) Four ES supply–demand bundle types were identified with distinct ES supply and demand relationships. (4) Land-use types, urban intensity, and climatic factors are the main social-ecological factors that distinguish the four identified clusters. The identified ES supply–demand clusters can support the main functional zoning of the Yangtze River Delta. Our results also suggest that land sharing is a more appropriate approach for the sustainable development of the Yangtze River Delta considering the balance of multiple ES supply and ES demand.

Recommended citation: Zhong, Z.; Fang, X.; Zhang, Y.; Shu, X.; Guo, D. Mapping Ecosystem Service Supply–Demand Bundles for an Integrated Analysis of Tradeoffs in an Urban Agglomeration of China. Land 2022, 11, 1558. https://doi.org/10.3390/land11091558. https://www.researchgate.net/publication/363558460_Mapping_Ecosystem_Service_Supply-Demand_Bundles_for_an_Integrated_Analysis_of_Tradeoffs_in_an_Urban_Agglomeration_of_China