Dr. Duncan Wilson

EPSCoR Research Focus: 
Observatory Network * Forecasting System
Research Scientist
South Central Climate Science Center
University of Oklahoma
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Education: 
B.S. | Forest Resources | University of Washington | 1992
M.S. | Silviculture | University of Maine | 1996
Ph.D. | Silviculture and Biometrics | Oregon State University | 2003
Research Interests: 

Oklahoma NSF EPSCoR Researchers:
Exploring
Socio-Ecological Systems' Adaptation to Climate Variability

Dr. Duncan Wilson's research interests include:

  • Ecological data—model integration with Bayesian methods, ecological risk analysis, error budgets in survey sampling and prediction models, efficient sampling methods for terrestrial carbon stocks, efficient sampling of difficult to measure variables
  • Restoration ecology in prairie and pine-oak savanna systems, belowground dynamics, tree-grass interactions, carbon sequestration in tall grass prairie – savanna systems
     
  • Forest restoration dynamics & wildlife habitat interactions, understory vegetation dynamics, economic viability of restoration treatments
  • Soil—site quality relationships in dry-land ecosystems

Dr. Wilson's work on the Oklahoma EPSCoR RII award addresses two significant research objectives, including:

  1. Establishment of a first-of-its-kind, statewide, socio-ecological observatory;
  2. Development of a fully integrated socio-ecological modeling and prediction system that is designed to integrate qualitative and quantitative approaches and to systematically examine insights from both disciplinary and integrated perspectives.
Teaching Responsibilities: 
NREM 4323: Timber Management
NREM 5030: Ecological Modeling & Synthesis
Research Assistants Funded by EPSCoR: 
Key Publications: 
  • Wilson, D.S., and D.A. Maguire. 2009. Environmental basis of soil–site productivity relationships in ponderosa pine.Ecological Monographs. 79:595-617.
  • Wilson, D.S., P.D. Anderson, and K.J. Puettmann. 2009. Evaluating the consistency of understorey vegetation response to forest thinning through synthetic analysis of operational-scale experiments. Forestry. 82:583-596.
  • Wilson, D.S., Stoddard, M.S., Betts, M.G. and Puettmann, K.J. 2009. Bayesian small-area models for assessing wildlife conservation risk in patchy populations. Conservation Biology. 23:982-991.
  • Wilson, D.S., M.A. Stoddard, and K.J. Puettmann 2008. Monitoring amphibian populations with incomplete survey information using a Bayesian probabilistic model. Ecological Modelling. 214:210-218.
  • Weiskittel, A.R., H. Temesgen, D.S. Wilson and D.A. Maguire. 2008. Modelling within- and between-stand variability in Douglas-fir, hybrid spruce, and ponderosa pine specific leaf area. Annals of Forest Science. 65:103-113.
  • Wilson, D.S., and K.J. Puettmann. 2007. Density management and biodiversity in young Douglas-fir forests: Challenges of managing across scales. Forest Ecology and Management. 246:123-134.
  • Garber, S.M., J.P. Brown, D.S. Wilson, D.A. Maguire, L.A. Heath. 2005. Snag longevity under alternate silvicultural regimes in mixed species forests of central Maine. Canadian Journal of Forest Research. 35:787-796.
Curriculum Vitae: