ST2-Forest


Strengthen Forest Landscape Management and Restoration for Watershed Services
and Biodiversity Conservation to Response to Future Land Use and Climate
Change

  1. To install Automatic Weather Station (AWS) at 5 sites in Upper Nan Watershed for sustainable rainfall data collection
  2. To create land use scenarios, future land-use/land-cover maps, predicted deforestation maps, ecosystem service maps (water yield, biodiversity, sediment)
  3. To simulate cost/benefit in various adaptation measures


Members

Thai Side

  • Wanchai ARUNPRAPARUT – Kasetsart University (KU)
  • Venus TUANKRUA – Kasetsart University (KU)
  • Yongyut TRISURAT – Kasetsart University (KU)
  • Nipon TUNGTHAM – Kasetsart University (KU)
  • Pintip THITIROJANAWAT – Department of National Parks, Wildlife and Plant Conservation (DNP)
  • Krongkaew SRIPRARAM – Department of National Parks, Wildlife and Plant Conservation (DNP)
  • Kanyarat NETBUT – Department of National Parks, Wildlife and Plant Conservation (DNP)
  • Anupong GABJUN – Department of National Parks, Wildlife and Plant Conservation (DNP)
  • Chatchai YOTHAWUT – Department of National Parks, Wildlife and Plant Conservation (DNP)
  • Wipaporn BAIYA – Department of National Parks, Wildlife and Plant Conservation (DNP)
  • Jaray KHANTEE – Department of National Parks, Wildlife and Plant Conservation (DNP)
  • Warisa LUMBAN – Department of National Parks, Wildlife and Plant Conservation (DNP)
  • Suchat KALAYAWONGSA – Royal Forest Department (RFD)
  • Somkid SAPAOKUM – Royal Irrigation Department (RID)
  • Nilobol ARANYABHAGA – Office of National Water Resources (ONWR)

Japanese Side

  • Koichiro KURAJI – The University of Tokyo (UT)
  • Masashi KIGUCHI – The University of Tokyo (UT)


Objective:

  1. To study land use scenarios of Nan province
  2. To evaluate ecosystem services from land use scenarios
  3. To find out the suitable sizes and places of forest to maximize ecosystem services


Expected Outcomes

  1. Predicted land-use change maps based on different demand scenarios
  2. Quantified watershed services and functions (e.g., water yield, sediment and nutrient retention) and maps under climate change scenarios
  3. Priority areas for landscape restoration in accordance to payment for ecosystem services (PES) and optimum investment
  4. Adaptation approach of people in watershed (e.g., agricultural practices, crop varieties,, growing season, settlement location)


Description of Activities

  1. Installation of AWS and maintenance
  2. Installation of weir for SWAT model calibration
  3. Collection of soil samples
  4. Test of CLUE-s model


Progress in June 2020

07-ST2-Forest