Personal profile
Research Interests
My research is focused on the development of probability sampling methods and statistical modeling techniques for natural resource assessment and monitoring. Recently my work has been directed to the design of sampling strategies for forest inventory and the survey of downed woody materials, and to the application of nonlinear mixture models for characterizing forest growth and mortality. Results of this research have been published in the forestry, ecological, and statistical literature.
Teaching Experience
Biometrics (FORS 201)
Geographic Information Systems (FORS 250)
Sampling Methods (FORS505)
Statistical Models for Ecological Data Analysis (FORS 538)
Seminars and Special Topics:
- Advanced Biometrics (FORS 595)
- Forest Growth Modeling (FORS 595)
- Laser Scanning and Forest Vegetation Analysis (FORS 595)
- Graduate Seminar in Forestry (FORS 594)
Education/Academic qualification
Master, Forest Biometrics, University of British Columbia
Bachelor, Forest Soils, University of British Columbia
PhD, Forest Biometrics, Yale University
Master, Forest Biometrics, Yale University
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 13 Climate Action -
SDG 15 Life on Land
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Collaborations and top research areas from the last five years
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Inventory Measurement Rates Lag in Wilderness Areas Across the Western USA
Affleck, D. L. R., Gaines, G. C., Conroy, C., Santino, G. & Larson, A. J., Nov 24 2025, In: Forest Science. 72, 1, p. 95-102 8 p.Research output: Contribution to journal › Article › peer-review
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Morphological and physiological response of conifer seedlings to drought conditioning
Ross, A. C., Pinto, J. R., Crotteau, J. S., Goke, A., Nelson, C. R., Affleck, D. L. R. & Larson, A. J., Sep 26 2025, In: New Forests. 56, 54.Research output: Contribution to journal › Article › peer-review
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Recognizing van Deusen’s mixed estimator for annual forest inventory as a linear mixed model
Affleck, D. L. R. & Gaines, G. C., 2025, In: Canadian Journal of Forest Research. 55, p. 1-10 10 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Mill and Landbase Attributes Condition Response Rates to Timber Product Output Surveys in the Western United States
Affleck, D. L. R. & Gaines, G. C., Feb 1 2024, In: Forest Science. 70, 1, p. 14-22 9 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Mesic mixed-conifer forests are resilient to both historical high-severity fire and contemporary reburns in the US Northern Rocky Mountains
Jaffe, M. R., Kreider, M. R., Affleck, D. L. R., Higuera, P. E., Seielstad, C. A., Parks, S. A. & Larson, A. J., Oct 1 2023, In: Forest Ecology and Management. 545, 121283.Research output: Contribution to journal › Article › peer-review
7 Scopus citations
Datasets
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Dataset for the article: The topographic signature of ecosystem climate sensitivities in the western U.S.
Hoylman, Z. (Creator), Jencso, K. (Creator), Hu, J. (Creator), Holden, Z. (Creator), Allred, B. (Creator), Dobrowski, S. (Creator), Robinson, N. (Creator), Martin, J. (Creator), Affleck, D. (Creator) & Seielstad, C. (Creator), University of Montana, 2019
Dataset