John P. BolteAssociate Professor and Head |
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PROFESSIONAL PREPARATION
B.S. - University of Florida in Plant Science, 1977
M.S. - University of Florida in Agricultural Engineering, 1983
Ph.D. - Auburn University in Agricultural Engineering, 1987
APPOINTMENTS
Associate Professor, Oregon State University, Biengineering Department. July 1994 - present.
Assistant Professor, Oregon State University, Bioresource Engineering and Crop & Soil Science Departments. March 1998 - June 1994.
Post-Doctoral Systems Research Scientist, Oregon State University, Crop & Soil Science Department, April 1987 - March 1988.
PUBLICATIONS (5 most relevant)
Bolte, J.P., D.W. Hulse, S.V. Gregory, and C. Smith. (In Press). Modeling biocomplexity – Actors, landscapes and alternative futures. Environmental Modeling and Software.
Rooklidge S., Burns E., Bolte J. 2005. Modeling Antimicrobial Contaminant Removal in Slow Sand Filtration, Water Research. 39:331-339.
K.B. Vaché, McDonnell, J., Bolte, J.P. 2004. On the use of multiple criteria for a posteriori model rejection: Soft data to characterize model performance. Geophysical Research Letters. 31:L21504.
Berger, P.A. and J.P. Bolte. 2004. Evaluating the impact of policy options on agricultural landscapes: an alternative futures approach. Ecological Applications. 14(2):342-354.
Meleason, M.A., S.V. Gregory, and J. Bolte. 2003. Implications of selected riparian management strategies on wood in Cascade Mountain streams of the Pacific Northwest. Ecological Applications 13:1212-1221.
PUBLICATIONS (5 additional)
Brugnach, M., J.P. Bolte and G.A. Bradshaw. 2002. Determining the significance of threshold values uncertainty in rule-based classification models. Ecological Modeling. 160:63-67.
Hillyer. C., J. Bolte, F. VanEvert, and A. Lamaker. 2002. The MODCOM modular simulation system. European Journal of Agronomy. 18(3):333-343.
Lamy, F., J.P. Bolte, M. Santelmann and C. Smith. 2002. Development and Evaluation of Multiple Objective Decision-Making Methods for Watershed Management Planning. J.Amer.Water Resources Assoc. 38(2):517-529.
Nath, S., J.P. Bolte, L.G. Ross, and J. Aguilar-Manjarrez. 2000. Applications of Geographical Information Systems (GIS) For Spatial Decision Support in Aquaculture. Aquacultural Engineering 23:233-278.
Bolte, J.P. 1998. Object-oriented programming for decision systems. In: Agricultural Systems Modeling R. Peart and B. Curry, Editors. Marcel Dekker, Inc. New York
Bolte, J.P. 1996. Integrative frameworks for decisionmaking in resource management. In: Proceedings of the Ninth Florida Artificial Intelligence Research Symposium, J.H. Stewman, Editor. Key West, Florida, May 20-22, 1996.
SYNERGISTIC ACTIVITIES
- Oregon State University PI for the multi-institution Pacific Northwest Regional Collaboratory, leading the development of web-based application architecture and software for delivering geospatial and remote-sensing based decision support tools for natural resource management and decisionmaking.
- CoPI of a multidisciplinary NSF Biocomplexity project studying the interactions of riparian policy evolution, land use, and riparian function in several Willamette basin watersheds. This effort, initiated Fall 2001, uses spatially explicit analysis with a multiobjective decisionmaking core and an agent-based simulation approach to evolve policy/pattern constructs to explore development of effective strategies for managing riparian areas under conditions of ecological and social function scarcity.
- PI of a highly multidisciplinary EPA-funded project “Developing Methods and Tools for Restoration Decisionmaking: Design, Implementation and Assessment in the Willamette Basin.” This project integrates ecological, economic, and social scientists with information engineers and stakeholder groups to address the complexities of watershed restoration decisionmaking under constraints via spatially explicit multiobjective optimization.
- PI of an EPA project developing a range of software tools for simulation analysis, inferencing, and spatial analysis. These tools implement state of the art, computationally efficient analysis methodologies applicable to the analysis of complex systems, as well as associated visualization and data mining codes.
- Involved in a highly multidisciplinary project collectively referred to as the Pacific Northwest Ecosystems Research Consortium, focused on applying multidisciplinary perspectives on watershed processes, data synthesis and landscape evolution modeling to alternative futures analysis in the Willamette basin, Oregon.