KDF Search Results

Developed at IFPRI in 1990s, upon the realization that there was a lack of long-term vision and consensus among policy makers and researchers about the actions that are necessary to feed the world in the future, reduce poverty, and protect the natural resource base. This paper provides an updated description of the methodology for IMPACT.

When fuelwood is harvested at a rate exceeding natural growth and inefficient conversion technologies are used, negative environmental and socio-economic impacts, such as fuelwood shortages, natural forests degradation and net GHG emissions arise. In this study, we argue that analyzing fuelwood supply/demand spatial patterns require multiscale approaches to effectively bridge the gap between national results with local situations.

The different versions of the CLUE model (CLUE, CLUE-CR, CLUE-s, Dyna-CLUE and CLUE-Scanner) are among the most frequently used land use models globally. Applications range from small regions to entire continents. The CLUE model is a flexible, generic land use modeling framework which allows scale and context specific specification for regional applications.

The Energy-Economy-Environment Modelling Laboratory E3MLab operating within the Institute of Communication and Computer Systems of the National Technical University of Athens (ICCS/NTUA), Department of Electrical and Computer Engineering, is a laboratory that specializes in the construction and use of large scale computerised models covering the areas of Energy, the Economy and the Environment. Such models are used to make projections and analyse complex issues requiring system-wide consideration. Special emphasis is given to policy analysis and support.

This paper describes a methodology to explore the (future) spatial distribution of biofuel crops in Europe. Two main types of biofuel crops are distinguished: biofuel crops used for the production of biodiesel or bioethanol, and second-generation biofuel crops. A multiscale, multi-model approach is used in which biofuel crops are allocated over the period 2000?2030. The area of biofuel crops at the national level is determined by a macroeconomic model. A spatially explicit land use model is used to allocate the biofuel crops within the countries.

IBSAL is a dynamic simulation model of the connections existing between feedstock producers, biorefinery locations and the requisite storage and distribution systems. The model is primarily focused on the front end of the biofuels supply chain at the local level. The local data sources that are inputs include field area, dry matter, production equipment, soil and biomass moisture, weather conditions, transportation networks and associated costs. The model was developed at Oak Ridge National Laboratory.
This model can be downloaded from

PNNL and the University of Maryland's Joint Global Change Research Institute is the home and primary development institution for the Global Change Assessment Model (GCAM - formerly MiniCAM), an integrated assessment tool for exploring consequences and responses to global change. GCAM is a dynamic-recursive model with technology-rich representations of the economy, energy sector, land use and water linked to a climate model that can be used to explore climate change mitigation policies including carbon taxes, carbon trading, regulations and accelerated deployment of energy technology.