Faculty & Staff
Dr. Muhammad Irfan Ashraf
Assistant Professor (HEC Approved Supervisor)
PhD Forestry (Canada), MS Quality Management (PU),
Diploma in University Teaching (Canada)
Department of Forestry & Range Management
Phone : +92-51-9062816  
Mobile : +92-333-6741315  
Fax :
Email : [email protected], [email protected]
Address : Department of Forestry, Arid Agriculture University, Murree Road, Rawalpindi, 46300 Pakistan.
Work Experience : 18 Year(s)
Research Interest :
  • Climate Change Impacts on Forests
  • Natural Systems Modelling
  • Forest Growth & Yield Modelling
  • Forest Mensuration
  • GIS Application in Forestry
  • Watershed Management
  • Total Publications : 18
    Publications (Latest Ten)
    1. Sakici, O. E., Kucuk, O., Ashraf, M.I. 2018. Compatible above-ground biomass equations and carbon stock estimation for small diameter Turkish pine (Pinus brutia Ten.). Environmental Monitoring and Assessment. 190(5): 285. [Impact Factor: 1.804]

    2. Bhatti. M.F., Ashraf, M.I. ,Masoom, Z., Malik, S.U. 2017. Impact of industrial effluents on growth of dominant tree species of Islamabad, Pakistan. Pakistan Journal of Botany 49(5):1833-1839. [Impact Factor: 0.75]

    3. Ahmed, M.I., Ashraf, M.I., Malik, S.U. Hussain, Q. 2016. Influence of soil based growing media on vegetative propagation of selected cultivars of Olea europaea L. Pakistan Journal of Botany. 48(4): 1489-1493. [Impact Factor: 0.75]

    4. Ashraf, M. I, Meng, F.-R., Bourque, C. P.-A., MacLean, D. A., 2015. A novel modelling approach for predicting forest growth and yield under climate change. PLOS one. 10(7) [Impact factor: 3.534]

    5. Ashraf, M. I., Bourque, C. P.-A., MacLean, D. A., Erdle, T., Meng, F. R., 2015. Estimation of potential impacts of climate change on growth and yield of temperate tree species. Mitigation and Adaptation Strategies for Global Change. 20(1): 159-178. [Impact factor: 2.669]

    6. Zhao, Z., Ashraf, M.I., Keys, K.S., Meng, F.- R., 2013. Prediction of soil nutrient regime based on a model of DEM-generated clay content for the province of Nova Scotia, Canada. Canadian Journal of Soil Science, 93(2): 193-203. [Impact factor: 1.0]

    7. Zhao, Z., Ashraf, M.I., Meng, F.- R., 2013. Model prediction of soil drainage classes over a large area using a limited number of field samples: A case study in the province of Nova Scotia, Canada. Canadian Journal of Soil Science, 93(1): 73-83. [Impact factor: 1.0]

    8. Ashraf, M. I., Zhao, Z., Bourque, C. P., MacLean, D. A., Meng, F. R., 2013. Integrating biophysical controls in forest growth and yield predictions with artificial intelligence technology. Canadian Journal of Forest Research, 43(12): 1162-1171. [Impact factor: 1.657]

    9. Ashraf, M.I, Zhao, Z., Bourque, C. P.-A., Meng, F.-R., 2012. GIS evaluation of two slope calculation methods regarding their suitability in slope analysis using high precision LiDAR digital elevation models. Hydrological Processes, 26(8): 1119-1133. [Impact factor: 2.669]

    10. Ashraf, M.I., Bourque, C.P.-A., MacLean, D.A., Erdle, T., Meng, F.- R., 2012. Using JABOWA-3 for forest growth and yield predictions under diverse forest conditions of Nova Scotia, Canada. The Forestry Chronicle, 88(6): 708-721. [Impact Factor: 0.866]