Robert Froese, PhD, RPF, CF
Contact
Professor, Faculty of Agricultural, Life and Environmental Sci - Renewable Resources Dept
- refroese@ualberta.ca
Professor and Endowed Chair in Forest Growth & Yield, Faculty of Agricultural, Life and Environmental Sci - Renewable Resources Dept
- refroese@ualberta.ca
- Phone
- (780) 492-0274
- Address
-
701 General Services Building
9007 - 116 St NWEdmonton ABT6G 2H1
Overview
Area of Study / Keywords
Forestry Growth & Yield Biometrics Inventory Quantitative Silviculture
Courses
REN R 215 - Forest Measurements
Principles and practices of measuring and estimating present and future fibre production of forest communities, including applications of statistics, sampling techniques, regression analysis, and computer programming. Prerequisites: *3 STAT. Pre- or corequisite: REN R 110. Requires payment of additional student instructional support fees. Refer to the Tuition and Fees page in the University Regulations section of the Calendar.
REN R 295 - Special Topics in Field Skills and Their Application in Forest Sciences
Focuses on specialized field skills and their application in forest sciences. The course involves off-campus field experiences. Pre- or corequisite: REN R 290. Requires payment of additional student instructional support fees. Refer to the Fees Payment Guide in the University Regulations and Information for Students section of the Calendar.
REN R 448 - Forest Growth and Yield
Measurement, modelling, and forecasting the future development of attributes of trees and forest stands. Tree taper, volume, and biomass estimation, recruitment, growth, yield, and survival functions, site quality estimation, and simulation modelling including linkages to forest inventory, applications of remote sensing, and reference data programs for monitoring and model development. Prerequisite: REN R 215.
REN R 548 - Forest Growth and Yield
Measurement, modelling, and forecasting the future development of attributes of trees and forest stands. Tree taper, volume, and biomass estimation, recruitment, growth, yield, and survival functions, site quality estimation, and simulation modelling including linkages to forest inventory, applications of remote sensing, and reference data programs for monitoring and model development. Not to be taken if credit received for REN R 448. Prerequisite: consent of instructor.
Featured Publications
Rice, A.C. and R.E. Froese
Forest Science. 2024 February; fxae012 10.1093/forsci/fxae012
Bartlick, C.I., J.I. Burton, C.R. Webster, R.E. Froese, and Y.L. Dickinson
Forest Ecology and Management. 2023 December; 546 10.1016/j.foreco.2023.121320
Premer, M.I., N.S. Rogers, and R.E. Froese
Canadian Journal of Forest Research. 2023 May; 53 (9) 10.1139/cjfr-2023-0014
An, Z., and R.E. Froese
Canadian Journal of Forest Research. 2022 October; 53 (2):60-70 10.1139/cjfr-2022-0153
Monahan, W.B., C.E. Arnspiger, P. Bhatt, Z. An., F.J. Krist, Jr., T. Liu, R.P. Richard, C. Edson, R.E. Froese, J. Steffenson, T.C. Lammers, and R. Frosh.
2022 October; 17 (10):e0272360
Draper, M.C., C.C. Kern, and R.E. Froese
Forest Ecology and Management. 2021 November; 499
Premer, M.I and R.E. Froese
Canadian Journal of Forest Research. 2021 September; 52 (4):463-473
Draper, M.C. and R.E. Froese
Forest Science. 2021 August; 67 (5):607-617
Hupperts, S.F., C.R. Webster, R.E. Froese, E.A. Lilleskov, A.M. Marcarelli, and Y.L. Dickinson
Canadian Journal of Forest Research. 2020 December; 50 (12):1259-1267
Deng, C., R.E. Froese, S. Zhang, Y. Lu, X. Xu, and Q. Li
Annals of Forest Science. 2020 September; 77 (89)
Hupperts, S.F., C.R. Webster, R.E. Froese and Y.L. Dickinson
Forest Ecology and Management. 2020 April; 462 (117983)
Premer, M.I., R.E. Froese and E.D. Vance
Forest Ecology and Management. 2019 September; 447
Premer, M.I. and R.E. Froese
Forest Science. 2018 April; 64 (4):442-451
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