In this article, we introduce a recreational amenity—a greenbelt park—into a simple urban economic model. For multiple possible park placements, we solve for the associated equilibrium urban structure, including the equilibrium rent gradient, city boundary, total number of park...

In this paper, we use a simple urban economic model to study how choosing park locations within a city might contribute towards urban planning goals. For multiple possible park placements, we solve for the associated equilibrium urban structure, including the equilibrium rent gradient, city...

Most land management policies, such as land retirement, have multiple objectives. This study uses a cellular automata simulation model to explore how various spatial characteristics of land parcels on a hypothetical landscape contribute to the efficacy of land retirement in the presence of...

This study uses optimal control theory to examine the dynamic features of agricultural landscapes characterized by spatial externalites. A stylized system of agricultural production and groundwater flow is used to illustrate how spatial externalities affect land use decisions over time. Policy...

This paper examines the impacts of uncertainties in the US renewable energy policy on the investment decisions of renewable electricity producers. We develop a dynamic optimization model to understand how investment in wind energy depends on market and policy uncertainties in renewable energy...

This paper examines strategies for cost-effective management of an endangered species: the Kirtland's Warbler. Population distributions as a function of rotation length are generated using a stochastic simulation model, and these distributions are used to find the rotation age that attains a...

We model optimal detection of sub-populations of invasive species that establish ahead of an advancing front. For many invaders, eradication of the main population is an untenable goal, yet it may be possible to treat and eradicate emerging sub-populations once these sub-populations are...

Global climate models predict increases over time in average temperature worldwide, with significant impacts on local patterns of temperature and precipitation. The extent to which such changes present a risk to food supplies, farmer livelihoods, and rural communities depends in part on the...