Natural Resource Informatics; sustainable forest and natural resource management; spatial forest planning and optimization; forest engineering and operations research; reserve design
My primary field of interest is developing quantitative decisision support tools to aid forest and natural resource management. I am particularly interested in building and testing mathematical models that can quantify and visualize the resource trade-offs and production possibilities between conflicting management objectives. I do research in the areas of (1) forest management planning, including spatially explicit harvest scheduling models and multiple-criteria forest planning; (2) operations research, including integer programming, multiple-criteria optimization, and multiple-criteria decision support systems; and (3) the economics of non-timber forest benefits.
M.S., Forest Engineering, University of Forestry and Wood Sciences, Sopron, Hungary
M.S., Agriculture, Shinshu University, Nagano, Japan
Ph.D., Forest Resources and Operations Research, Pennsylvania State University
- ESRM 461 | Forest Management and Economics (5) - Spring
- SEFS 540 | Optimization Techniques for Natural Resources (5) - Spring
Current Sponsored Projects
- Accounting for Habitat Range Shifts in Species Conservation Planning
Our goal is to construct a model for use by conservation planners to evaluate strategies that facilitate species movement and adaptation in response to changes in climate. We will incorporate habitat range projection and species demography, including migration and adaptation, into a mathematical model for determining optimal reserve site selection.
- Optimizing Carbon, Timber and Cultural Values for Provision of Ecosystem Services in Alaskan Forests
We will design an approach to integrate carbon sequestration, timber production and provision of cultural ecosystem services to assist planning and decision making in National Forests in Southeast and South Central Alaska.
- Optimizing Forest and Road Networks to Minimize Sediment Loads and to Protect Somonid Habitat in the Face of Climate Change
In this study, we will develop a proxy function between the projected sediment production of a given road segment and the resulting quality and quantity of salmonid habitat under different climate scenarios.
- Spatial Optimization of Sampling Design to Monitor Forest Carbon in Interior Alaska
In this project, we will develop a spatial optimization framework that can select a subset of FIA (Forest Inventory and Analysis) plots in the interior of Alaska and schedule field as well as remote measurements on an annual basis over a 10-year period in an attempt to minimize projected standard errors on the five carbon pools listed above subject to budgetary and logistical constraints.
Ross, K., and Sándor F. Tóth. 2016. A Model for Managing Edge Effects in Harvest Scheduling Using Spatial Optimization. Scandinavian Journal of Forest Research. 37(1): 646-654.
McDill, M.E., S.F. Tóth, R. St. John, J. Braze, and S.A. Rebain. 2016. Comparing Model I and Model II Formulations of Spatially-Explicit Harvest Scheduling Models with Adjacency Constraints. Forest Science 62(1): 28-37.
Roesch-McNally, G., S.S. Rabotyagov, J. Tyndall, G.J. Ettl, and S.F. Tóth. 2016. Auctioning the Forest: A qualitative approach to exploring stakeholder responses to bidding on forest ecosystem services. Small-Scale Forestry 15(3): 321-333.
Svetlana Schroder, Sandor F. Toth, Robert Deal, Greg Ettl. 2016. Multi-objective optimization to evaluate tradeoffs among forest ecosystem services following fire hazard reduction in the Deschutes National Forest, USA. Ecosystem Services 22(B): 328-347.
St. John, R., and S.F. Tóth. 2015. Spatially-Explicit Forest Harvest Scheduling with Difference Equations. Annals of Operations Research 232(1):235-257.