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
Área de conocimiento
UrbanísticaFecha de publicación
2022Editorial
Universidad Politécnica de CartagenaCita bibliográfica
Shu-Hui, Hung; Ju-Hui, Hsu. 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. En SUPTM 2022: 1st Conference on Future Challenges in Sustainable Urban Planning & Territorial Management, 17–19 Jan 2022Palabras clave
SUPTM 2022Ecosystem services
Wetland
ARIES model
Likert scale
Resumen
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 ...
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