• Chetan Agarwal, Indiana University
• Glen L. Green, Indiana University
• J. Morgan Grove, Northeastern Research Station, USDA Forest Service
• Tom Evans, Indiana University
• Charles Schweik, University of Massachusetts, Amherst

Human use and management of terrestrial resources significantly alter vegetation structure, function, extent, distribution, and species composition and change nutrient and hydrologic inputs through fertilization and irrigation. These vegetation, nutrient, and hydrologic variables are frequently critical inputs to most biogeochemistry models of global change. Recently, the U.S. Forest Service Southern and Northern Global Change Programs determined the need for a review and assessment of existing land use change models that include social drivers. We review and classify existing models using a classification scheme that arrays models along three-axes: space, time, and human decision-making. We use this classification scheme in part to present our findings and assessment of future directions for incorporating social drivers in land use change models.

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Products

Articles

Grove, J.M., C. Schweik, T. Evans, and G. Green. 2001. "Modeling Human-Environmental Systems." In Clarke, K. C., B.E. Parks, and M.P. Crane (Eds.), Geographic Information Systems and Environmental Modeling. Upper Saddle River, NJ: Prentice-Hall.

Presentations

Agarwal, C., Green, G., Grove, J.M., Evans, T., Schweik, C. 2000. A Review and Assessment of Land Use Change Models: dynamics of space, time, and human choice. Proceedings of 4th International Conference on Integrating GIS and Environmental Modeling (GIS/EM4): Problems, Prospects and Research Needs. Banff, Alberta, Canada, September 2 - 8.

Data and Data Collection

Inventory and classification of land use models