Euan Mason

ProfessorEuan Mason

School of Forestry Rm 142
Internal Phone: 92071

Qualifications

Research Interests

Research interests include silviculture, growth and yield modelling, applications of artificial intelligence, decision-support systems for forest management and New Zealand School of Forestry Software.

Recent Publications

  • Mason EG. (2019) Influences of mean top height definition and sampling method on errors of estimates in New Zealand’s forest plantations. New Zealand Journal of Forestry Science 49(1) http://dx.doi.org/10.33494/nzjfs492019x24x.
  • Rachid-Casnati C., Mason EG. and Woollons RC. (2019) Using soil-based and physiographic variables to improve stand growth equations in Uruguayan forest plantations. iForest : Biogeosciences and Forestry 12: 237-245. http://dx.doi.org/10.3832/ifor2926-012.
  • Mason EG., Holmström E. and Nilsson U. (2018) Using hybrid physiological/mensurational modelling to predict site index of Pinus sylvestris L. in Sweden: a pilot study. Scandinavian Journal of Forest Research 33(2): 147-154. http://dx.doi.org/10.1080/02827581.2017.1348539.
  • Millen P., van Ballekom S., Altaner C., Apiolaza L., Mason E., McConnochie R., Morgenroth JA. and Murray T. (2018) Durable eucalypt forests – a multi-regional opportunity for investment in New Zealand drylands. New Zealand Journal of Forestry 63(1): 11-23.
  • Salekin S., Burgess JH., Morgenroth J., Mason EG. and Meason DF. (2018) A comparative study of three non-geostatistical methods for optimising digital elevation model interpolation. ISPRS International Journal of Geo-Information 7(8) http://dx.doi.org/10.3390/ijgi7080300.