Abstract: Improving carbon (C) storage capacities of urban greenspace is of great significance to reduce atmospheric carbon dioxide (CO₂) in urban areas and to mitigate the pressure of climate change. We established an estimation model with stepwise regression analysis on the aboveground carbon storage (AGC) of Shenyang urban greenspace within the thirdring road by field survey and remote sensing technology. Then, we examined the spatial distribution characteristics and put forward the strategies for improving AGC of urban greenspace. The total AGC of urban greenspace in Shenyang was 1.437 Tg, with a C density of 31.73 t·hm^-2. The AGC in the eastern part of Shenyang was higher than that in the western part, which gradually decreased from the thirdring region to the city center. The AGC and C density of urban greenspace varied across different land use types. The residential land and regional traffic land had the highest and the lowest AGC, respectively (34.2×10⁴ t, 2.57×10⁴ t). The agricultural land and forest land had the highest C density (75.40 t·hm^-2), while the residential land had the lowest (21.54 t·hm^-2). Upgrading the vegetation coverage of the urban greenspace and increasing the DBH of trees can effectively improve carbon storage capacity. The upgrading of the lowcoverage areas in urban greenspace and the low and middlecoverage areas in residential greenspace can increase the AGC of urban greenspace by 7.21×10⁴ t and 49.7×10⁴ t, accounting for 5% and 34.6% of the total AGC in urban greenspace.

Key words: Picea asperata plantation, forest restoration, soil microbial community, phospholipid fatty acid.