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Growth and management strategy simulation system in artificial forests

  • Date of declaration:2024-03-28
  • PI:Meng-Shan Wu
  • Division:Forestry Economics Division
Research title
Science and Technology Programs(2023)
KeyWord
growth, growing stock, growth model, decision support system, forest management, smart forest,
執行成果摘要
This project is mainly about developing smart forestry, and building a decision support system for private forest management from the perspective of digital services. The main task is to collect relevant research literature on the main factors affecting the economic income of forest trees, building data database such as the market price of timber, afforestation and cutting costs, and timber volume, and conduct sensitivity analysis on the main variables that affect the income of forest trees. The results can help users to obtain forest economic income assessment information in a faster and effective way, which can be used as reference for forest management decision-making..