Can Numerical Models Estimate Indirect Land-Use Change?

Biofuel Policies and Indirect Land Use Change

Sensitivity of Carbon Emission Estimates from Indirect Land-Use Change

We analyze the sensitivity of greenhouse gas (GHG) emissions from land-use change to modifications in assumptions concerning crop area, yield, and deforestation. For this purpose, we run a modified version of the Center for Agricultural and Rural Development (CARD) Agricultural Outlook Model, which was used previously to assess the impacts of energy price increases and biofuel policy changes on...

Corn ethanol production, food exports, and indirect land use change.

The approximately 100 million tonne per year increase in the use of corn to produce ethanol in the U.S. over the past 10 years, and projections of greater future use, have raised concerns that reduced exports of corn (and other agricultural products) and higher commodity prices would lead to land-use changes and, consequently, negative environmental impacts in other countries. The concerns have...

What Statistical Models Can Better Detect Land-Change Mechanisms?

Statistical models are widely used to explore relationships between aggregate variables in a land-use system by inductively fitting empirical data, for example with regression models. Seldom do researchers know whether, and if so how much, the relationships thus obtained reflect the underlying mechanisms. This is partially due to the uncertainties in the system of interest, especially when the ...

Land Use Change Explorer:

This paper describes a tool prototype named as Land Use Change Explorer, which was developed to allow different users to generate "GKD process tracking” (discovering land use change patterns) and “GKD process steering" (understanding uncertainty in these patterns as the process unfolds). The Land Use Change Explorer was implemented based on the GeoInsignt approach, previously described in Wacho...