Soil respiration is a major component of the carbon cycle in terrestrial ecosystems, and small changes have a significant effect on CO₂ concentration in the atmosphere. Previous studies from different terrestrial ecosystems have confirmed that soil respiration is related to both global climate change and the carbon cycle. However, many studies have focused on non-urban ecosystems, such as forests, farmlands, and grasslands, while fewer studies have examined soil respiration in urban green-space ecosystems. In particular, few studies have addressed whether soil respiration is affected by different vegetation types in urban green-space ecosystems. This research explored soil respiration rate (Rs) in three different vegetation types in urban green-space, to provide basic scientific data on the contribution of urban green-space to the carbon cycle in urban ecosystems. Results will also facilitate the optimization of landscape patterns in urban green-spaces to reduce carbon emissions. In this study, Rs of three representative vegetation types (woodland, scrubland, and grassland) were investigated in Haizhu Lake Park of Guangzhou, Guangdong Province, China. From November 2013 to October 2014, we measured Rs monthly using a static chamber and gas chromatography, while simultaneously measuring soil temperature and volumetric water content. Results showed a significant difference in Rs between the wet and dry seasons. A relatively lower Rs, with less fluctuation, was noted in the dry season:(1.66±0.18)-(3.26±0.20) μmol m^-2 s^-1 for woodland, (1.27±0.15)-(3.67±0.16) μmol m^-2 s^-1 for scrubland, and (1.94±0.08)-(6.82±1.13) μmol m^-2 s^-1 for grassland. Conversely, a relatively higher Rs, with much more fluctuation, was noted in the wet season:(3.53±0.46)-(13.81±1.31) μmol m^-2 s^-1 for woodland, (2.82±0.22)-(12.72±1.16) μmol m^-2 s^-1 for scrubland, and (2.80±0.30)-(9.83±0.96) μmol m^-2 s^-1 for grassland. In addition, environmental factors that influenced soil respiration were very complicated in these urban green-space ecosystems, and two relatively important factors were soil temperature at 10 cm depth (T₁₀) and soil volumetric water content at 10 cm depth (VWC₁₀). Regression analysis showed that the exponential model explained the relationship between T₁₀ and Rs well; T₁₀ explained approximately 40%, while VWC₁₀ explained 10%-24% of Rs variation across months. Notably, a dual-factor (including both T₁₀ and VWC₁₀) model:Rs=α·exp (βT₁₀+γVWC₁₀), better explained Rs variation across months, accounting for over 50% of Rs variation. Furthermore, a significant difference was noted in temperature sensitivity of soil respiration (expressed as Q₁₀) between the wet and dry seasons; the wet season had a greater Q₁₀ value than did the dry season (0.44, 1.15and 0.46, respectively). This study analyzed the differences in soil respiration and influential factors (T₁₀ and VWC₁₀) between three typical vegetation types in urban green-space ecosystems. However, there are many other potentially influential factors that were not considered, and further researcher is needed to explore these in the future.