Abstract:The spatial distribution pattern and matching relationship of ecosystem service supply and demand are fundamental issues in the field of ecosystem services. Focusing on ecosystem services to enhance the ability of urban systems to withstand natural disasters and resilience functions, this paper introduced vulnerability to disaster-withstanding to evaluate the ecosystem service demand. Zhuhai City, one of the first special economic zones, was selected as the case study area. Soil conservation service was the focus of the supply and demand analysis. Vulnerability to disaster-withstanding was used to evaluate the demand of urban systems and residents and represented the spatial heterogeneity of demand. The InVEST model based on "3S technology" was used to quantitatively assess the supply potential. The matching state of ecosystem service supply and demand was analyzed on both watershed and town-street scales to provide suggestions for municipal land use management, landscape optimization, and urban economic construction. The results showed that according to the spatial matching of supply and demand, Zhuhai included high supply and high demand, low supply and high demand, low supply and low demand, and high supply and low demand. The spatial misalignment of supply and demand of soil conservation services in Zhuhai was considered relatively serious. The demand of densely populated urban areas was extremely high, but there was a serious lack of supply, whereas the high supply of some ecological sources could not benefit the population of surrounding areas. High supply and high demand areas, taking account of economic construction and ecological protection, only accounted for 8.7%. Low supply and low demand areas were widely distributed, which were agriculture-oriented with slow economies. This study was an important attempt to describe the spatial heterogeneity of ecosystem service supply and demand and spatially match supply and demand, which provides a reference to urban construction and ecological management.