Using the Artificial Intelligence for Ecosystem Services (ARIES) model to explore the value of socio-economic ecosystems using the Jinshan Qingshui Wetland in Northern Taiwan as a case study

Due to human over-exploitation, global wetland areas have been degraded and are disappearing due to human over-exploitation. The service value of wetland ecosystems has no market and is frequently ignored. Jinshan Qing Shui Wetland is in the north corner of Taiwan. It is a private in-land wetland that is at risk of flooding. With the Jinshan Qingshui Wetland as a case study, the ARIES model was used as a research tool to select 4 types of currently well-established ecosystem service projects: "sediment regulation, soil carbon storage, net value of pollination, and net value of outdoor recreation." The results estimate that the annual value of "sediment regulation" is about US$26,915; the annual value of “soil carbon storage” is about US$1,246,370; the annual value of “net value of pollination” is about US$182,100; and the annual value of “net value of outdoor recreation” can reach US$1,199,253. The estimated value of the four items is about US$2.65 million. In addition, focus interviews with water conservancy experts, chiefs, and NGO groups were con-ducted; the Likert scale was used to analyze the views of different stakeholders on wetlands. Through evaluating the social, economic, and environmental value of wetlands, and through in-tegrating the opinions of all stakeholders, this research provides the government with reference points to an overarching management plan of wetlands, with potential ecosystem service value