Shane Furze
Assistant Professor

228 Cheatham Hall
310 West Campus Dr.
Blacksburg, VA 24061
310 West Campus Dr.
Blacksburg, VA 24061
- Ph.D. – University of New Brunswick, 2018
- M.E.M. – University of New Brunswick, 2013
- B.S. – St. Francis Xavier University, 2010
Areas of interest.
- Precision Silviculture
- Adaptive Silviculture Strategies
- Digital Soil Mapping
- Forest Productivity Modeling
- Species Suitability
- Landbase Optimization
- Remote Sensing
- FREC 3324 – Silviculture Principles and Applications
- FREC 3364 – Environmental Silviculture
- Lemieux, K., Afriyie, N.A. O., Furze, S., Toner, P. and Arp, P.A. 2023. Cold-Weather Crop Suitability Modelling. Open Journal of Soil Science, 13, 431-455.
- Deb, J.C., Furze, S., MacLean, D.A. 2022. Modeling the distribution of Acadian vascular rare plant species under future climate scenarios. Plant Ecology 224, 47–57.
- Furze, S., O’Sullivan, A. M., Allard, S., Pronk, T., Curry, R.A. 2021. A High-resolution, Random Forest Approach to Mapping Depth-to-Bedrock across Shallow Overburden and Post-glacial Terrain. Remote Sensing, 13, 4210.
- Goodbody, T. R. H., Coops, N., Luther, J. E., Tompalski, P., Mulverhill, C., Frizzle, C., Fournier, R. A., Furze, S., Herniman, S. 2021. Airborne Laser Scanning for Quantifying Criteria and Indicators of Sustainable Forest Management in Canada. Canadian Journal of Forest Research, 51(7): 1-14.
- Furze, S., Arp, P. A. 2020. Amalgamation and Harmonization of Soil Survey Reports into a Multi-purpose Database. Canadian Journal of Soil Science, 101: 1-26.
- Furze, S. 2018. Developing a High-Resolution Digital Soil Mapping Framework for New Brunswick, Canada. PhD Dissertation. University of New Brunswick, Fredericton, New Brunswick, Canada.
- Furze, S., Castonguay M., Ogilvie J., Nasr, M., Cormier, P., Gagnon, R., Adams, G., Arp, P.A. 2017. Assessing Soil-Related Black Spruce and White Spruce Plantation Productivity. Open Journal of Forestry, 7, 209-227.
- Furze, S., Ogilvie, J. and Arp, P.A. 2017. Fusing Digital Elevation Models to Improve Hydrological Interpretations. Journal of Geographic Information System, 9, 558-575.