Replication Data for: Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model

Eitzinger, Anton; Läderach, Peter; Rodriguez, Beatriz; Fisher, Myles; Beebe, Stephen; Sonder, Kai; Schmidt, Axel, 2016, "Replication Data for: Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model", doi:10.7910/DVN/HEQQIH, Harvard Dataverse, V1

Data were collected by a simulation model to estimate yield changes due to climate change in El Salvador, Guatemala, Honduras and Nicaragua. We analysed the simulated yield changes to spatially classify high-impact spots of climate change across the four countries. We identified hot spots, adaptation spots and pressure spots for drybeans production in the study area and derived three main recommendations.