Users can simulate a range of market, technology adoption, research spillover, and trade policy scenarios based on a flexible, multi-market, partial equilibrium model.With DREAM you can define a range of technology investment, development, and adoption scenarios and save them in an integrated database. Scenarios are described using market, R&D, and adoption information for any number of separate “regions.”
9. ifpri aagw2010 - 9 june 2010
Development Domain Analysis<br />Agricultural Potential<br />Land Cover<br />Market Access<br />Crop Systems Modeling<br />Farm-gate Price Modeling<br />Spatial Analysis at IFPRI<br />ZHE GUO*, EMILY SCHMIDT, JAWOO KOO, RIA TENORIO <br />* GIS COORDINATOR (firstname.lastname@example.org)<br />Environment and Production Technology Division<br />International Food Policy Research Institute<br />AAGW2010/NAIROBI<br />9 JUNE 2010<br />
To use a set of domain criteria to identify focus area and regions which have similarity or dissimilarity of conditions of relevance to agricultural development.<br />To capture and analyze the region patterns of agriculture productivity and potentials.<br /><ul><li>Ag-potential
Further economic analysis (e.g. DREAM model)</li></ul>existing cropland *rural population density<br />potential cropland *rural population density<br />Potential cropland density are derived from statistical variables (e.g. mean, min, max, standard deviation) of monthly NDVI and classified into high, med, low . The rural population density is classified into high, med and low classes. Development domain classes are developed from the intersection of the two variables. <br />Existing cropland density is derived from Afri-cover datasets and are classified into high and low classes. The rural population density is classified into high, med and low classes. Domain classes (2*3=6) are developed from the intersection of the two variables. <br />
<ul><li>By 2050, the decline in calorie availability will increase child malnutrition by 20 percentrelative to a world with no climate change.
Thus, aggressive agricultural productivity investments of US$7.1–7.3 billion are neededto raise calorie consumption enough to offset the negative impacts of climate change on the health and well-being of children.</li></ul>ASSESSING <br />CLIMATE CHANGE<br />IMPACT ON AGRICULTURE<br />AND<br />COSTS OF ADAPTATION<br />IMPACT <br />Partial equilibrium ag. sector model<br />Base year 2005; projection to 2050<br />Model changes in crop area and yields<br />production, value of production, <br />food availability per capita, child malnutrition and hunger impacts<br />DSSAT 4.02<br />Yield changes of staple crops<br />IFPRI Food Policy Report 21 “Climate change impact on agriculture and costs of adaptation”<br />