Land-use change is arguably the most pervasive socioeconomic force driving the change and degradation of watershed ecosystems. This paper combines an econometric model of land use choice with three models of watershed health indicators (conventional water pollution, toxic water pollution, and...

This research examines a spatially explicit allocation of habitat restoration activities in an Oregon watershed to meet water temperature targets for the benefit of endangered salmonid fish species. Integrating hydrological, biological and economic models, a series of optimization problems are...

This paper analyzes the effect of open space and other amenities on housing prices and development density within the framework of an urban equilibrium model. The model is estimated as a system of equations that includes households' residential choice decisions and developers' development...

This paper examines and predicts the effects of climate change and climate extremes on China’s land use conversion and soil carbon sequestration under two alternative climate change scenarios. It intends to investigate the following three questions. 1) How did climate factors affect land-use...

This paper integrates economic and physical models to assess how federal crop revenue insurance programs might affect land use, cropping systems, and environmental quality in the U.S. Corn Belt region. The empirical framework includes econometric models that predict land conversion, crop...

The prospect of climate change has aroused growing interest in the influence of climate and water scarcity on agricultural production. Many studies continue to aggregate disparate crops when modeling irrigation choices. That approach confounds the crop-specific effects of climate and water...

Recent years have seen mass casualties and severe property damage caused by wildland fires. With increasing housing development in natural-amenity-rich fire-prone areas, human activities not only exert intense pressures on local ecosystems, but also increase difficulties for wildland fire...