Study on the evolution of urban ecosystem patterns in Macao

Nan, 孟楠 Meng; Han, Baolong; Haiyang, 王海洋 Wang; Fei, 逯非 Lu; Chao, 许超 Xu; Zhiyun, 欧阳志云 Ouyang

doi:10.5846/stxb201803300709

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“…Hence, ArcGIS software was employed to establish fishing nets to partition the study area of every park into several 20 m × 20 m grids. Regarding the setting of raster size, when exploring the landscape pattern indices, it is generally considered that 5-35 m is a suitable range of granularity for analysis, and the change of landscape aggregation with granularity is highly predictive [55][56][57]. In the studies of community-scale analysis of CO 2 concentration distribution [30], three-dimensional green volume in urban parks [50], and plant canopy space and microclimate effects in residential green areas [58], the unit space was divided according to the size of 20 m × 20 m. In summary, this study extracted the coordinate range information of the study area from ArcGIS software to generate a matrix of points with the same spatial interval to form a unit space of 20 m × 20 m for calculating the indices.…”

Section: Calculation and Analysis Of Spatial Indices By Means Of Unit...mentioning

confidence: 99%

Distribution of CO2 Concentration and Its Spatial Influencing Indices in Urban Park Green Space

Jiang

Liu

Yangshan

et al. 2023

Forests

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Park green spaces (PGSs) are an important component of urban natural carbon sinks, while their spatial morphological patterns can affect the carbon sequestration capacity themselves. This study selected six typical urban parks in the central district of Shanghai and analyzed the correlation between spatial morphological indices and CO2 concentration distribution of the PGSs based on ENVI-met and BRT models. It further explored the interaction mechanisms in the carbon cycling process of urban PGSs under the influence of different spatial morphology. The results shows that urban PGSs play the role of carbon sink in diurnal period, and the difference of CO2 concentration distribution in green space is the largest at 11 a.m. The green biomass (Gb) and arboreal area ratio (Ar) are the most important indices affecting the distribution of carbon concentration. The two indices describing spatial patterns, namely, Cohesion (Co) and canopy density (CanopyD) also significantly impact CO2 concentration. These indices have a positive impact on carbon sinks. The parkway area ratio (Pr) is a disturbing index that also has an obvious negative impact on the distribution of CO2 concentration. The moderate herbs area ratio (Hr) and open land area ratio (Or) are conducive to regulating the microclimate environment and enhancing carbon sink capacity. There is an interactive relationship between spatial indices and microclimate environment indices, as well as physical and physiological indices in the carbon sink process of green areas. The study suggested that in green space management aiming at carbon reduction, combined with the influence threshold of Gb on carbon reduction and paying attention to the importance of green amount on carbon sequestration, the vegetation density and allocation ratio should be rationally distributed to form a park green space landscape with efficient carbon fixation.

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Section: Calculation and Analysis Of Spatial Indices By Means Of Unit...mentioning

confidence: 99%