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With its auspicious goal to produce competent and efficient human resource that can be instrumental in conservation and management of biodiversity, environment and natural resources and  development of rural communities, the IOF-PC, with the help of its enthusiastic teaching faculty and spirited staff, has always endeavored to ameliorate its academic environment and administer well designed educational programs that can address the current needs of the country  and the globe in forestry and allied fields. It is committed to satisfying student's quest for knowledge and pragmatic skills that will make all the difference in their professional career. The IOF-PC is currently running the following academic programs:

  1. Master of Science in Forestry
  2. Master of Science in Natural Resource Management and Rural Development (NRMRD)
  3. Master of Science in Watershed Management (WM)
  4. Bachelor of Science (B.Sc.) in Forestry

Beside regular academic programs, it also conducts short-term national and international training and workshops in Forestry and allied subjects.

Community based natural forest management in the Himalaya (ComForM)

Duration: 3 phases, 11 years (Sep 2003 – Sep 2014)

Project Goal: Improve forest and natural resource management based on local participation in Nepal. Objectives are to establish long-term applied biophysical, socio-economic and institutional research & build research capacity

Major Activities: Long term study of people-forest interactions, climate change (adaptation) and livelihood; Strategic studies on nationally important forestry issues; Short-term studies of high academic quality; Action research on locally relevant forestry-related topics; PhD studies in project’s theme

Funded by: Danish Ministry of Foreign Affairs (DANIDA)

Budget:  DKK 8 million in each phase

Collaborators: IFRO-UoC, IOF-TU, DFRS-MFSC

Project Coordinator: Dr. Santosh Rayamajhi ([email protected])

Website:  http://www.ifro.ku.dk/english

 

ComForM Long-Term Research Data Base

  1. Socio-economic household survey
    • Total income data for 836 HHs
    • Panel data (2006, 2009, 2012)
    • Labour allocation
    • Health
    • Governance
  2. Biophysical survey
    • 241 permanent sample plots
    • Measured 2006, 2009, 2013
    • Spatial extraction (2012-13)
    • Farm trees (2009)
    • Herbs and shrubs (2007)
    • Dendrochronology (four species)
  3. Institutional study
    • This gives contextual information to allow better interpretation of the long-term data sets
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