Abstract
To build a sustainable and resilient city, making urban forests perform different ecosystem services is a once-and-for-all solution. That needs a holistic strategy in term of urban forest assessment and management. However, there is a lack of information to execute such plan in Taiwan. To fill the demand, this project will start in 2020 and develop a wisdom database management of urban forests. The system is built by the survey data of 100 trees and also 1000 data inputs about their biological and non-biological influential factors. The data will also serve as the foundation of developing a standard operation procedure (SOP) of tree hazard assessment. In the following years, our team will conduct a study related to the balance of urban forest ecosystem, which will be used as a framework of developing an old-tree health assessment, a visual tree assessment (VTA) and a technical manual. In 2022, the focus of this project is to establish monitoring wisdom technique of urban forests. Instruments like Sap Flow Meter will be applied to understanding the relationships between sap flow and tree’s physiological health. By collecting different trees’ information and making big data analysis, we will advance the protocol of assessing failure potential of trees and the technique of risk assessments. In the final year, our research will be centered on an instant method of exanimating harmful pathogenic bacteria and wisdom precautionary system. A brochure that provides different solutions to risked trees will be published. The outcome of this project includes academic and promotional publication, which will help advance the research on urban forests, practice of urban forest management and environmental police communication.As the issue of climate change becomes more and more serious, our agriculture, forestry and other aspects have faced considerable threats, such as the loss of water and soil, the food crisis, and the occurrence of plant diseases and pests. The trees in the urban area are responsible for maintaining the ecosystem services such as purifying the air, conserving water and even saving energy. While the trees could help mitigate the influence of climate change, the abnormal climate might also cause the abnormal occurrence of pests and diseases in urban trees. It may not only cause the tree health problems but also decrees the ecosystem services of urban forests. In order to understand the influence of important soilborne disease to the urban trees under climate change, our study try to develop a molecular quantitative detection technique. The technique could be used to detect and monitor the important soilborne disease. With the detecting and monitoring the important soilborne pathogens every season through the years, the data would help us to identify the changes of soilborne pathogens in the urban area. On the other hand, it could also help us to identify the possible occurrences of tree disease under climate change. Through our study, we would like to set up a useful and precision method to detect the amount of important soilborne pathogens. After understanding the pathogens changes under claimant change and combining the information with foreign reference, it might help us to identify the possible disease control strategies to face the urban forest disease in the future.